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feat(relearn): pin Qwen3.8-27B + incoai/GLM-5.3-NVFP4 on #199 - #200

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feat(relearn): pin Qwen3.8-27B + incoai/GLM-5.3-NVFP4 on #199#200
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@echobt echobt commented Aug 31, 2026

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Stacked on Testeur’s PR #199. This PR does not rewrite the holdout / contamination / shuffle / canary gates.

Pin overlay (live)

Field Value
base_model Qwen/Qwen3.8-27B (unchanged)
teacher_nvfp4 incoai/GLM-5.3-NVFP4 — full GLM-5.3 NVFP4 (~433 GiB, 97 files, license other). Not LibertAIDAI/GLM-5.3-Flash-NVFP4. Never DFlash2 (CC BY-NC-ND).
teacher_model glm-5.3 (not glm-5.3-flash)
Teacher serve RELEARN_TEACHER_LOCAL_DIR — never pass the Hugging Face repo id to vLLM
Operator GPUs (docs only) 2×B300, tp2. If OOM, raise tp on those 2 GPUs. Do not document 8×.
Live challenge Relearn LLM / relearn

Hugging Face card checked 2026-08-31: incoai/GLM-5.3-NVFP4 HTTP 200, ungated, 97 siblings, base_model: zai-org/GLM-5.3.

Kept from #199: public_ids, holdout_commitment (84aed154…), holdout_size = 120. crates/relearn-score and holdout.rs unchanged.

Greptile (already on this branch)

Template checkbox + .greptile/ + short AGENTS / miner-docs note.

Test plan

Open in Web Open in Cursor 

Overlay locked Hugging Face ids on Testeur's holdout gates. Keep
public_ids, holdout_commitment, and holdout_size. vLLM serves from
RELEARN_TEACHER_LOCAL_DIR, never the repo id.

Co-authored-by: Mathis <echobt@users.noreply.github.com>
@cursor
cursor Bot force-pushed the cursor/relearn-anti-overfit-ec6c branch from f6c6514 to dbaf686 Compare August 31, 2026 08:28
@cursor cursor Bot changed the title feat(relearn): lock live path to Relearn LLM (Qwen3.8-27B) feat(relearn): pin Qwen3.8-27B + GLM-5.3-Flash-NVFP4 on #199 Aug 31, 2026
@cursor
cursor Bot changed the base branch from cursor/relearn-subnet-v0-fbf6 to cursor/relearn-anti-overfit-gates-893c August 31, 2026 08:28
cursoragent and others added 2 commits August 31, 2026 08:29
Template, .greptile rules, and a short AGENTS / miner-docs note. Covers
fail-closed, holdout-off-git, no Modal/secrets, no Flux, OSI encoders,
and BASE_* / domain-tag freeze. Additive; scoring gates unchanged.

Co-authored-by: Mathis <echobt@users.noreply.github.com>
Relock teacher_nvfp4 to incoai/GLM-5.3-NVFP4 (full GLM-5.3). Wire id
glm-5.3, not flash. Serve from RELEARN_TEACHER_LOCAL_DIR. Keep #199
holdout_commitment, public_ids, and holdout_size.

Co-authored-by: Mathis <echobt@users.noreply.github.com>
@cursor cursor Bot changed the title feat(relearn): pin Qwen3.8-27B + GLM-5.3-Flash-NVFP4 on #199 feat(relearn): pin Qwen3.8-27B + incoai/GLM-5.3-NVFP4 on #199 Aug 31, 2026
cursor Bot pushed a commit that referenced this pull request Aug 31, 2026
`cargo test --workspace` is red on the parent branch: #200 moved
`relearn_challenge_task::BASE_MODEL_ID` to `Qwen/Qwen3.8-27B`, but
`relearn-mm-task` re-exports that constant as `LM_BASE_MODEL_ID` while
`config/relearn-mm-pin.toml` and four tests still spelled out
`Qwen/Qwen3.8-Flash-Next`. Eight tests failed, including
`RelearnMmPin::validate` on the committed pin.

The encoder attaches to the Relearn champion's LM, so the MM pin has to
carry the live LLM base — this aligns it rather than choosing a new model.
`lm_side_tracks_the_relearn_champion_base` now asserts against
`relearn_challenge_task::BASE_MODEL_ID` so the two cannot drift again.

Also updates the miner-facing seed harness default
(`docs/external-miner/relearn-seed/eval/harness/eval.py`), which still
pointed `RELEARN_BASE_MODEL` at Flash-Next.

Drop this commit if #200 fixes the fallout upstream.

Co-authored-by: Mathis <echobt@users.noreply.github.com>
echobt added a commit that referenced this pull request Sep 3, 2026
…ge (#202)

* feat(relearn): one-challenge subnet v0 eval loop

Retire Design and Prism as live products. Wire Relearn HTTP submit,
displacement scoring, digest-freeze holdout, and operator promote.
Keep Lium/receipt/paired-test rails. Pin CortexLM/relearn (seed in-tree
until org write can create the public repo).

Co-authored-by: Mathis <echobt@users.noreply.github.com>

* fix(site): satisfy clippy assigning-clones and match-same-arms

Workspace clippy -D warnings failed on Relearn arena mapping.

Co-authored-by: Mathis <echobt@users.noreply.github.com>

* chore(relearn): pin CortexLM/relearn git sha

* docs(relearn): drop anti-TEE slogans from user-facing copy

Keep miners-pay-Lium as the trust line. Leave holdout-after-freeze
in the eval loop internals, not README/miner Trust rows.

Co-authored-by: Mathis <echobt@users.noreply.github.com>

* docs(relearn): split miner and validator one-pagers

README is what Cortex is plus two links. Validators get a one-screen
role; Relearn miners get submit, Lium, promote-wait, and a pointer.

Co-authored-by: Mathis <echobt@users.noreply.github.com>

* docs(relearn): keep miner and validator pages together

Both audience pages live under docs/external-miner/. README still
has two links only.

Co-authored-by: Mathis <echobt@users.noreply.github.com>

* feat(relearn): env-only teacher http api

Teacher URL, model, and key come from RELEARN_TEACHER_* only.
Missing URL or key skips to sim. No baked host. Miners pay Lium.

Co-authored-by: Mathis <echobt@users.noreply.github.com>

* feat(bounty): add bounty challenge beside relearn

Wire a second live challenge (id bounty) on the Relearn PR branch:
pair a Bittensor hotkey to a dedicated Cortex Chat account, file
bug reports, and score by precision vs the previous champion.
Default emission is relearn 7000 / bounty 3000. Chat inject stays
env-only; no teacher hosts or secrets in git.

Co-authored-by: Mathis <echobt@users.noreply.github.com>

* feat(bounty): consume backend public api

Cortex reads CortexLM/backend GET /v1/bounty/public/* for scoring.
It does not serve a public leaderboard. Unset URL skips (CI).

Co-authored-by: Mathis <echobt@users.noreply.github.com>

* feat(relearn-t2i): add Relearn T2I challenge on Cosmos3 + Q-Judger

Pin nvidia/Cosmos3-Super-Text2Image (OpenMDW 1.1, verified card) as the
generator seed miners fine-tune, and Q-Judger (Qwen/Qwen-Image-Bench,
Apache-2.0) as the only judge. Flux-family bases are refused outright.

Eval prompts are frozen in config/relearn-t2i-pin.toml so no miner brings
its own upsampler to the scored split, and every miner generates the same
prompt ids at the same derived seeds. The holdout split is present in git
only as a commitment; records come from an operator file and are verified
at boot, so a wrong file refuses submissions instead of scoring the public
split. Gates: paired displacement on the holdout, per-L1-pillar regression
epsilon, seed replay, agentic faithfulness agreement, contamination, and a
judge N/A ceiling.

Co-authored-by: Mathis <echobt@users.noreply.github.com>

* feat(relearn-mm): add Relearn Multimodal challenge beside Relearn LLM

Miners attach a permissively licensed vision encoder plus a projector to
the champion Relearn LLM. Pin google/siglip2-so400m-patch14-384 (verified
Apache-2.0) and restrict miner-supplied encoders to OSI-permissive terms.

Two gates, both mandatory. Gate 1 reruns the existing Relearn text holdout
on the submitted LM with vision ignored; a drop past epsilon zeroes the
submission no matter how good the vision numbers are, and an encoder-only
submission must additionally hash-match the champion LM. Gate 2 is a frozen
image holdout (captioning, VQA, OCR, spatial relations - not ImageNet or
COCO test) plus agentic image-tool traces, each replayed with the pixels
shuffled so a model that ignores the image cannot pass.

Co-authored-by: Mathis <echobt@users.noreply.github.com>

* feat(challenges): split emission four ways and wire the new services

Retune challenges.toml to relearn 4000 / relearn-t2i 1500 / relearn-mm 1500
/ bounty 3000 with a dedicated public key per challenge, re-signed under a
fresh throwaway owner key (the previous owner secret is off-git by design).

Wire relearn-t2i-challenge on :8097 and relearn-mm-challenge on :8098
through the Dockerfile, compose matrix, env examples, GHCR image lanes,
remote-deploy, and local-e2e. Local smoke materializes the T2I holdout from
the documented dev salt; without it the service still answers /health and
503s submissions, which is the intended fail-closed state.

Docs: README lists all four challenges, docs/RELEARN-T2I.md and
docs/RELEARN-MM.md carry the control-plane contracts, and the miner guides
state that Flux is rejected, Q-Judger is the only T2I judge, and encoder
licenses must be OSI-permissive. external-docs-check now pins those claims.

Co-authored-by: Mathis <echobt@users.noreply.github.com>

* feat(site): list Relearn T2I and Relearn Multimodal as arenas

The site matched emission shares by slug and only knew relearn, so after
the four-way split the marketing surface would have shown one challenge's
4000 bps as the whole subnet. Add both arena slugs (wire form equals the
trust-root challenge id), frames, and status fetches, and drop the retired
design/prism arena list that both landing and metrics were still feeding.

A down challenge backend leaves the static frame in place rather than
dropping the arena, so the emission column still accounts for every
challenge. Added a regression test that every live arena slug resolves to a
non-zero trust-root share and that the shares sum to 10000.

Co-authored-by: Mathis <echobt@users.noreply.github.com>

* feat(relearn): fail-closed holdout and anti-overfit gates

Pin a holdout commitment on the live relearn path, load records only
from RELEARN_HOLDOUT_FILE, and reject submissions when the file is
missing or does not match. Add contamination, public-gap, vision
pixel-shuffle, and off-lattice canary-regression gates.

Co-authored-by: Mathis <echobt@users.noreply.github.com>

* feat(relearn): pin 27b and glm flash nvfp4 on #199

Overlay locked Hugging Face ids on Testeur's holdout gates. Keep
public_ids, holdout_commitment, and holdout_size. vLLM serves from
RELEARN_TEACHER_LOCAL_DIR, never the repo id.

Co-authored-by: Mathis <echobt@users.noreply.github.com>

* docs(repo): complete greptile review gate on the overlay

Template, .greptile rules, and a short AGENTS / miner-docs note. Covers
fail-closed, holdout-off-git, no Modal/secrets, no Flux, OSI encoders,
and BASE_* / domain-tag freeze. Additive; scoring gates unchanged.

Co-authored-by: Mathis <echobt@users.noreply.github.com>

* feat(relearn): pin teacher to incoai glm-5.3 nvfp4

Relock teacher_nvfp4 to incoai/GLM-5.3-NVFP4 (full GLM-5.3). Wire id
glm-5.3, not flash. Serve from RELEARN_TEACHER_LOCAL_DIR. Keep #199
holdout_commitment, public_ids, and holdout_size.

Co-authored-by: Mathis <echobt@users.noreply.github.com>

* fix(relearn): fail closed instead of scoring submissions in sim

Live submit could not produce a real verdict. `eval_after_freeze` always
called `sim_slice_scores`, so a host with an empty `eval_image_digest`
answered `201 CREATED` with simulated numbers, and an empty miner manifest
skipped the contamination gate entirely.

Eval backend is now explicit, mirroring relearn-mm:

- `EvalBackend::{Lium, Sim}` + `force_sim()` / `resolve_eval_backend()`.
  Sim is selected only by `RELEARN_FORCE_SIM`, never as a fallback.
- `eval_after_freeze` takes the pin and the backend. On `Lium` it returns
  `EvalImageUnpinned` without a `sha256:` pin and `LiveHarvestUnavailable`
  with one; both map to `503`, so no sim number can reach the lattice.
- `/v1/status` publishes `eval_backend`, `force_sim`, and `can_score`; the
  submit row publishes `eval_backend`.
- The sim base champion is only seeded on a host that resolved `Sim`.

Contamination now carries its evidence:

- `ContaminationEvidence` records the declared id / image-hash / dataset
  counts next to the hits, and `contamination_evidence` replaces
  `contaminated_fingerprints`.
- An undeclared manifest is `GateFail::ContaminationEvidenceMissing`, the
  same fail-closed shape as `PublicEvidenceMissing`.

The offline harness also could not express any promotion: perturbed and
holdout were drawn from independent salts, so the drop was ~0.17 against a
0.05 ceiling and every sim run failed `Perturbation`. Sim slices are now
derived from one skill level per artifact (`sim_artifact_skill`), with the
retention slices offset from the holdout draw, so `RELEARN_FORCE_SIM=1`
can reach `awaiting_admin` and the gate tests compare like with like.
Pin ids and `judge_challenger` thresholds are untouched.

Co-authored-by: Mathis <echobt@users.noreply.github.com>

* docs(relearn): say the committed holdout commitment is not the live seal

The pin and COMPLETENESS named the local dev salt next to the committed
`holdout_commitment`, which reads as the production seal. Both now describe
it as the CI / local commitment, point at `config/CEREMONY.md`, and keep the
requirement that production rotate salt *and* catalog before re-signing. The
salt literal stays only in `deploy/scripts/local-e2e.sh`, where it is the
local default; `committed_pin.rs` asserts it is absent from the pin.

Also documents the two fail-closed behaviours this branch adds: the 503 a
host returns without a `sha256:` eval-image pin (with `eval_backend` /
`can_score` on `/v1/status`), and that an undeclared miner `manifest` fails
the contamination gate. Miner example manifest now declares real fields
instead of three empty arrays, which would now be rejected.

Co-authored-by: Mathis <echobt@users.noreply.github.com>

* fix(relearn): let RELEARN_FORCE_SIM=1 boot instead of failing to parse

Found on the live HTTP run: `--force-sim` bound `env = "RELEARN_FORCE_SIM"`
to a clap `bool`, so the documented `RELEARN_FORCE_SIM=1` was rejected with
`invalid value '1' for '--force-sim'` and the service exited at boot. Only
compose's `"true"` / `"false"` strings worked, which is why it went unnoticed.

Drops the env binding, matching `relearn-mm-challenge` and
`relearn-t2i-challenge`: the value is read by `resolve_eval_backend`, which
accepts `1` / `true` / `yes`. A test pins every documented spelling.

Co-authored-by: Mathis <echobt@users.noreply.github.com>

* fix(relearn-mm): follow the locked LLM base id instead of Flash-Next

`cargo test --workspace` is red on the parent branch: #200 moved
`relearn_challenge_task::BASE_MODEL_ID` to `Qwen/Qwen3.8-27B`, but
`relearn-mm-task` re-exports that constant as `LM_BASE_MODEL_ID` while
`config/relearn-mm-pin.toml` and four tests still spelled out
`Qwen/Qwen3.8-Flash-Next`. Eight tests failed, including
`RelearnMmPin::validate` on the committed pin.

The encoder attaches to the Relearn champion's LM, so the MM pin has to
carry the live LLM base — this aligns it rather than choosing a new model.
`lm_side_tracks_the_relearn_champion_base` now asserts against
`relearn_challenge_task::BASE_MODEL_ID` so the two cannot drift again.

Also updates the miner-facing seed harness default
(`docs/external-miner/relearn-seed/eval/harness/eval.py`), which still
pointed `RELEARN_BASE_MODEL` at Flash-Next.

Drop this commit if #200 fixes the fallout upstream.

Co-authored-by: Mathis <echobt@users.noreply.github.com>

* docs(relearn): tell seed miners to declare their training manifest

Co-authored-by: Mathis <echobt@users.noreply.github.com>

* fix(relearn): record a live champion baseline and stop banking refusals

Two holes the live replay of d7c5920 found behind the digest 503.

**A live host could never record a champion baseline.** Making the sim
baseline sim-only was right — a live challenger judged against simulated
champion scores is not a comparison — but it left the live path with no
baseline at all. The moment a `sha256:` eval image is pinned, submit answers
`no champion baseline recorded` before contamination, public–holdout gap, or
pixel-shuffle can run, so every gate this branch exists to protect is dead
code on the only host that matters.

Boot now records the baseline with the scorer the host will actually use:

- `LiveScorer` is the eval-image harvest seam. `eval_after_freeze` takes it
  and refuses (`LiveHarvestUnavailable`) rather than substituting sim.
- `BaselineMeasurement` (`RELEARN_BASE_CHAMPION_FILE`) is the operator's
  recorded measurement of the base model. `verify` binds it to the pin's
  `eval_image_digest` and `holdout_commitment` and refuses a measurement
  missing a series the gates read, so a junk baseline fails at boot instead
  of silently rejecting every challenger.
- `boot_base_champion` picks the recorded measurement, else the wired
  harvest, else refuses. Sim numbers are not a candidate on a live host.

**Refusals banked rows.** The row was inserted before the eval, so every
503 left an `evaluating` row with no scores that appears on no operator
surface — spammable. Nothing is persisted until scoring produced a verdict,
and the row is inserted once in its final state instead of insert-then-patch.

Check order now puts the root cause first and spends nothing it cannot use:
holdout unseal, then `scoring_readiness` (digest pin + harvest), then the
baseline, then the eval. An unpinned digest still reports the pin, not the
baseline, and a live eval never runs for a submission the host could not
judge — that eval is the miner's Lium spend.

`/v1/status` gains `live_harvest_wired` and `champion_baseline_recorded`
next to `can_score`, since "cannot score" now has three distinct causes.

Co-authored-by: Mathis <echobt@users.noreply.github.com>

* docs(relearn): document the champion baseline the live gates need

Adds the operator surface for the live baseline: what
`RELEARN_BASE_CHAMPION_FILE` is, the JSON the eval image has to emit, and why
`public` / `general_canary` cannot be empty (a champion the gates cannot read
rejects every challenger for a reason the miner cannot act on).

Also records the two new `/v1/status` fields (`live_harvest_wired`,
`champion_baseline_recorded`) and the three distinct causes of
`can_score: false` in the miner troubleshoot table, notes that a refusal
persists no row, and adds the operator checklist item plus COMPLETENESS gaps
for the unwired live harvest.

Co-authored-by: Mathis <echobt@users.noreply.github.com>

* test(prism-verda): serialize the two PRISM_VERDA_COMPUTE tests

`pick_honors_compute_override` sets a process-wide env var that
`pick_compute` reads, so it raced `pick_b200_then_fallback`: whichever ran
while the override was set picked `L40S` and failed. It flaked in two of
three `cargo test --workspace` runs and passed in isolation, which made it
hard to tell whether an unrelated PR was green.

Test-only mutex around both. Pre-existing and unrelated to this branch —
drop this commit if it lands elsewhere.

Co-authored-by: Mathis <echobt@users.noreply.github.com>

* test(prism-verda): use the method reference clippy asks for

Co-authored-by: Mathis <echobt@users.noreply.github.com>

* feat(relearn): wire the live harvest on the Lium path

`live_scorer` was hardcoded `None`, so a digest-pinned host still refused
with `live_harvest_wired: false` and the champion could only come from
`RELEARN_BASE_CHAMPION_FILE`. This adds the control-plane client.

The scoring code is not here: it ships inside `eval_image` from
CortexLM/relearn. `relearn-lium-harvest` is the client for it.

- `LiveScorer` is now async (`#[async_trait]`, as `EvalJobBackend` already
  is), so `eval_after_freeze` and `boot_base_champion` are too. The bin
  builds its runtime before recording the baseline.
- `RelearnEvalMetrics` is the image contract: the `BaselineMeasurement`
  envelope plus run identity, so the operator's baseline file is literally
  the image's output for the base model — one format, not two. `verify`
  binds schema, `submission_digest`, and `artifact_digest`, so a pod cannot
  answer with another artifact's numbers or replay an earlier run.
- `LiumHarvest` owns the lifecycle: boot the digest-pinned image, deliver
  the request, harvest, then terminate and require verified teardown before
  any score is accepted. An orphan pod outranks the run result because it
  keeps spending the miner's money.
- `LiumEvalPod` is the Lium/SSH transport. Run inputs travel in
  `request.json` over stdin, never interpolated into the remote command, so
  a crafted digest cannot be shell injection on the pod. The workdir is
  scrubbed after the run; termination is the real guarantee.
- `build_live_scorer` wires it on `EvalBackend::Lium` only, from
  `LIUM_API_KEY`. Sim scores in-process and never gets a pod. No key means
  no harvest and the host refuses.

Nothing in this crate can compute a score. A pod that returns no
`RELEARN_EVAL_OK`, no metrics document, or a document bound to another run
is an error, not a fallback — the tests feed metrics-document fixtures
through the real parse/verify path rather than substituting sim numbers.

`prism-lium` additionally re-exports `ssh_exec{,_allow_fail,_stdin}` and
`SshExecOutput` so the client can reuse its retry/timeout helpers.

Co-authored-by: Mathis <echobt@users.noreply.github.com>

* feat(relearn): require the master SSH key and document the image contract

Live replay of the wiring found the spec left `ssh_public_keys` empty, so
`provision` refused with "Lium rent requires at least one SSH public key" —
the harvest could never boot a pod. A pod with no master key is also
unreachable, so the request could not be delivered and no metrics could be
read back.

- `LiumHarvest` takes the master public key(s) and registers them under
  `relearn-eval-worker`; it refuses before renting when there is none.
- The bin loads it from `LIUM_SSH_PUBLIC_KEY_FILE` (same convention as
  `prism-challenge`) and does not wire the harvest without it.
- `LIUM_API_BASE_URL` can point a staging host at a stand-in provider
  instead of spending real money.
- Provider and eval-image failures are now 503, not 500: the host cannot
  score right now, which is not the miner's mistake, and retrying is right.

Documents the image contract in `docs/RELEARN.md` — entrypoint, marker
lines, document shape, and the identity/pin checks — so `CortexLM/relearn`
has something to implement against. Also records, in RELEARN.md,
COMPLETENESS.md, and the operator checklist, that the harvest request
carries the holdout to a miner-paid pod: mitigated by the digest-pinned
image, tmp delivery, post-run scrub, and verified termination, but not
eliminated. That exposure is an owner decision, not an implementation
detail.

Co-authored-by: Mathis <echobt@users.noreply.github.com>

* deploy(relearn): pin the published eval image digest and relearn SHA

CortexLM/relearn PR #2 published the image that implements the harvest
contract, so the eval half of live scoring is now pinned:

  eval_image_digest = sha256:303c6357…  (was empty)
  relearn_git_sha   = 82e21442…         (was 6e952d1e)

Only those two values change. base_model, teacher_model, teacher_nvfp4,
teacher_backend, eval_image, relearn_git, holdout_commitment, holdout_size,
and public_ids are byte-for-byte unchanged.

`committed_pin_cannot_rent_or_score_live_yet` existed to make this moment
deliberate; it is replaced by `committed_pin_allows_live_rent` plus
`eval_image_is_digest_only`, which pins the exact digest and asserts the tag
never migrates into `eval_image`.

Pinning the image is not the whole job, and the docs now say so: a live host
still needs the harvest wired and a champion baseline recorded, each with its
own 503 and boot-log line. `remote-deploy.sh` warns when a master host is
missing the relearn holdout or the baseline, since with the image pinned
those two files are the difference between scoring and 503 on every
submission.

Note recorded in COMPLETENESS.md: PR #2 is open, not merged, so the pinned
SHA is not yet reachable from that repo's default branch. Re-pin to the merge
commit when it lands.

Co-authored-by: Mathis <echobt@users.noreply.github.com>

* fix(relearn): stop implying the baseline file can replace the harvest

The boot warning read "submissions will 503 unless RELEARN_BASE_CHAMPION_FILE
covers the baseline and a harvest is configured", which is wrong now that the
digest is pinned: the replay showed a host with the baseline recorded and no
harvest still 503ing every submission. The baseline covers the champion only;
each submission needs its own measurement. Points at the env example instead.

Co-authored-by: Mathis <echobt@users.noreply.github.com>

* refactor(harvest): share one digest-pinned lium pod transport

Co-authored-by: Mathis <echobt@users.noreply.github.com>

* feat(relearn-image): fail-closed live eval on the relearn-image id

Co-authored-by: Mathis <echobt@users.noreply.github.com>

* feat(relearn-agent): add the replayed-tool-trace challenge

Co-authored-by: Mathis <echobt@users.noreply.github.com>

* feat(relearn-agent): pin the episode set and add the ceremony helper

Co-authored-by: Mathis <echobt@users.noreply.github.com>

* feat(bounty): price bugs by severity and fail closed on ingest

Co-authored-by: Mathis <echobt@users.noreply.github.com>

* feat(challenges): relock four live ids and re-sign the trust root

Co-authored-by: Mathis <echobt@users.noreply.github.com>

* deploy(challenges): bring up the four live services and gate mm off

Co-authored-by: Mathis <echobt@users.noreply.github.com>

* docs(challenges): name the four live challenges and their gates

Co-authored-by: Mathis <echobt@users.noreply.github.com>

* fix(challenges): pin image/agent evals to relearn#3

Digest-only pins from CortexLM/relearn PR #3, harvest contracts that
speak those images (shared RELEARN_METRICS markers, recorded traces,
optional image canary), and miner/operator docs for the four live ids.

Co-authored-by: Mathis <echobt@users.noreply.github.com>

* fix(relearn-image): split canary gating out of judge_challenger

Keeps the function under clippy's 100-line cap after the both-empty
skip, without weakening the one-sided fail-closed rule.

Co-authored-by: Mathis <echobt@users.noreply.github.com>

* fix(relearn-image): name the published image-eval pin

Primary eval_image is ghcr.io/cortexlm/relearn-image-eval at the
relearn#3 digest; t2i-eval stays the same-digest alias. Teacher
ids on relearn are untouched.

Co-authored-by: Mathis <echobt@users.noreply.github.com>

* fix(relearn): pin the eval image that prints RELEARN_EVAL_OK

Match #201 HEAD: sha256:00839671… / 822d2729. Refuse sha256:303c6357…
which never printed the marker. Image, agent, and bounty pins unchanged.

Co-authored-by: Mathis <echobt@users.noreply.github.com>

* fix(relearn-agent): can_score stays false until holdout loads

Status was advertising can_score on sim/live hosts with no verified
episodes while submit already 503d. Holdout is now the first readiness
check. LLM digest and image/bounty pins are untouched.

Co-authored-by: Mathis <echobt@users.noreply.github.com>

* fix(relearn): forward teacher env and fail before rent

Port the #201 LLM harvest gate onto the harvest-pod transport: without
RELEARN_TEACHER_API_URL, can_score is false and submit 503s naming the
var, with no Lium rent. Teacher env is delivered over stdin as
teacher.env (umask 077, set -a) rather than interpolated into the
remote command. Missing-marker 503s include a redacted run.log tail.

Image/agent harvests stay env-free. LLM digest, image/agent pins, and
bounty fail-closed are unchanged.

Co-authored-by: Mathis <echobt@users.noreply.github.com>

* fix(relearn): hoist Unready scorer stub for clippy

Move the scoring_readiness teacher-gate fixture out of the test body
so items-after-statements stays clean.

Co-authored-by: Mathis <echobt@users.noreply.github.com>

* fix(challenges): fail-before-rent and screen junk before eval

Image and Agent harvest now refuse without a judge/teacher URL, forward
stdin teacher.env the same way LLM does, and reject contaminated or
empty-evidence manifests before renting. Bounty treats any prior
fingerprint as duplicate and refuses title==body / token-thin reports.

Co-authored-by: Mathis <echobt@users.noreply.github.com>

* fix(challenges): clippy persist helpers and image happy-path

Pre-eval reject helpers satisfy too-many-arguments/field-reassign
lints. Image happy-path submits a declared manifest so it still
evals instead of being screened as empty evidence.

Co-authored-by: Mathis <echobt@users.noreply.github.com>

* fix(relearn): can_score waits for champion; resolve eval PATH

Live status advertised can_score while submit 503'd without a
champion baseline. Harvest run_cmd now prefers /usr/bin/<eval>
(else command -v) so a login-less SSH PATH cannot miss the binary.

Co-authored-by: Mathis <echobt@users.noreply.github.com>

* fix(relearn): pin eval image that ships /usr/bin/relearn-eval

Replace sha256:00839671 (exit 127 on a login-less SSH PATH) with
sha256:86240d76 from CortexLM/relearn 9998154f. Image/agent pins
unchanged. Do not pin sha256:303c6357.

Co-authored-by: Mathis <echobt@users.noreply.github.com>

* fix(relearn): pin the CUDA scoring image CI pulled

sha256:201cc5d2 ships /usr/bin/relearn-eval (relearn d107a7c1).
Do not pin 86240d76, 00839671, or 303c6357. Image/agent pins
unchanged.

Co-authored-by: Mathis <echobt@users.noreply.github.com>

* fix(lium): rent digest-pinned harvest templates not recipes

Harvest was setting image_digest and then renting prism-recipe-v10,
so SSH ran /usr/bin/relearn-eval on the wrong image (exit 127).
InstanceSpec now carries docker_image + startup; provision uses that
pin and refuses a recipes fallback. Probe the score binary before
staging the holdout.

Co-authored-by: Mathis <echobt@users.noreply.github.com>

* fix(lium): harvest template is repo@digest with no startup

The live relearn-eval image already CMD ["serve"] (tini + entrypoint).
Create the Lium template with docker_image=pin@digest, no tag, no
startup, and a 12-hex name so recipes cannot be reused.

Co-authored-by: Mathis <echobt@users.noreply.github.com>

* fix(relearn): pin GLM-5.3 judge image; can_score needs holdout

Lock the LLM eval image to sha256:cbc4bbb8 (git f3cfa69). Reject the
four earlier judge-broken prefixes. LLM and Image can_score now require
the holdout file to be loaded, matching Agent. Bounty HTTP rejects a
second miner refiling a closed fingerprint.

Co-authored-by: Mathis <echobt@users.noreply.github.com>

* fix(relearn): drop pin _token wording; HTTP mismatch 503

Reword the GLM-5.3 pin comment so the committed-pin secret scan
does not treat max_tokens as a leaked credential. Add HTTP tests
that a commitment-mismatched holdout cannot load, so status stays
can_score false and submit is 503 on LLM, Image, and Agent.

Co-authored-by: Mathis <echobt@users.noreply.github.com>

* fix(relearn): forward base weights; fail closed before rent

The eval image does not bake Qwen. TeacherEnv now forwards
RELEARN_BASE_MODEL_DIR, HF_HOME, HF_HUB_CACHE, and an explicit
RELEARN_ALLOW_MODEL_DOWNLOAD=1 into teacher.env over stdin.
ready() refuses to rent when neither DIR nor ALLOW is set.
Status publishes base_weights.primed + via (var name only).
ALLOW_DOWNLOAD is never defaulted. Pin stays cbc4bbb8.

Co-authored-by: Mathis <echobt@users.noreply.github.com>

* fix(relearn): bin ready() tests require ALLOW_DOWNLOAD

A teacher/judge URL alone is no longer enough to score. Binary
readiness tests now fail closed without DIR/ALLOW, then pass with
the first-champion ALLOW_DOWNLOAD=1 path.

Co-authored-by: Mathis <echobt@users.noreply.github.com>

* fix(lium): rent whole-host ncu b200 for 1-gpu pin

Lium NCU hosts reject split even when min_gpu_count_for_rental is 1.
Parse ncu_profiling_enabled and rent the whole host instead of posting
gpu_count=1 on the live 2× B200. A 1-GPU harvest pin still matches.

Co-authored-by: Mathis <echobt@users.noreply.github.com>

* fix(relearn): unpin cbc4bbb8; no eval image has scored

cbc4bbb8 (f3cfa69) exited 1 on a rented pod without RELEARN_EVAL_OK: no
vLLM on the CUDA scoring image, transformers fallback, then
Qwen3VLVideoProcessor crashed for want of torchvision. An empty digest is
the fail-closed state - submissions 503 rather than renting a B200 that
cannot score. The pin now names every digest that reached a pod and
failed, and the tests assert the fail-closed state instead of a digest.

Co-authored-by: Mathis <echobt@users.noreply.github.com>

* fix(relearn): fail closed when gate evidence is missing

Perturbation and the known-answer canaries were 'if let Some(..)': a run
whose eval document omitted the series took neither gate. Pixel shuffle
iterated the challenger's own map, so dropping a family skipped the
control. All three now fail closed, with the champion as the reference
for which vision families the holdout actually has images in.

BaselineMeasurement::verify additionally requires perturbed + canaries,
so an image that never emits them is refused at boot rather than
rejecting every challenger for a reason the miner cannot act on.

EvalError::Integrity is a 503, not a 500: an unverified teardown is this
host refusing to believe a run, not the miner's mistake.

Co-authored-by: Mathis <echobt@users.noreply.github.com>

* docs(relearn): unpinned eval image and fail-closed gate evidence

RELEARN.md, COMPLETENESS.md, and the miner-facing external-miner docs now
say the digest is empty on purpose and what the next image needs (vLLM +
torchvision), and list the new *_evidence_missing rejections so a miner
can tell a skipped gate from a failed one.

Co-authored-by: Mathis <echobt@users.noreply.github.com>

* test(relearn): cover the live path end to end through HTTP

One run walks champion recorded -> can_score true -> a clean submission
scored on the Lium backend with lattice -> every gate zeroing its own
run: contamination, undeclared manifest, public-holdout gap, general
canary, and the three that used to be skippable by omitting the series.
Each rejection is asserted against its own gate name, so failing closed
everywhere would not pass.

Second test: promoting moves the bar. A later challenger at the same
skill ties the sitting champion instead of beating the base model.

relearn-score re-exports ExampleSeries so a consumer can build the
slices whose types are already in its public API.

Co-authored-by: Mathis <echobt@users.noreply.github.com>

* fix(relearn): split judge gates for clippy; name every eval status

judge_challenger crossed the 100-line cap once the missing-evidence arms
landed, so the retention and pixel-shuffle gates are their own functions.
eval_err now matches EvalError exhaustively: a new failure mode has to be
given a status deliberately instead of inheriting a 500.

Co-authored-by: Mathis <echobt@users.noreply.github.com>

* test(relearn): committed pin refuses live scoring at runtime

Asserting the digest string is empty says the file is right; calling
scoring_readiness with the shipped pin says the host is. The reported
cause has to be the pin, not a downstream symptom.

Co-authored-by: Mathis <echobt@users.noreply.github.com>

* chore(ci): retrigger checks after retargeting to main

Co-authored-by: Mathis <echobt@users.noreply.github.com>

---------

Co-authored-by: Cursor Agent <cursoragent@cursor.com>
Co-authored-by: Mathis <echobt@users.noreply.github.com>
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