Pith Number
pith:EQMLAMMO
pith:2024:EQMLAMMOHY2VLU4E4DZE5QSGND
not attested
not anchored
not stored
refs pending
Honesty to Subterfuge: In-Context Reinforcement Learning Can Make Honest Models Reward Hack
arxiv:2410.06491 v1 · 2024-10-09 · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{EQMLAMMOHY2VLU4E4DZE5QSGND}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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claim
4
Citations
5
Replications
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Portable graph bundle live · download bundle · merged
state
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same
current state with the deterministic merge algorithm.
Cited by
Receipt and verification
| First computed | 2026-07-05T09:18:02.529073Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2418b0318e3e3555d384e0f24ec24668d0cdb344f2420a4682d4c524f6986da5
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/EQMLAMMOHY2VLU4E4DZE5QSGND \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 2418b0318e3e3555d384e0f24ec24668d0cdb344f2420a4682d4c524f6986da5
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "04914f7ccb547eefd23db4d14a0ce3ba614e6af6e11be670c31350bd6a9f2c65",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.AI",
"submitted_at": "2024-10-09T02:34:27Z",
"title_canon_sha256": "07aa5f6d09d207054f8885edd72e3628de2efc493b2be1617433e4cbd71df53a"
},
"schema_version": "1.0",
"source": {
"id": "2410.06491",
"kind": "arxiv",
"version": 1
}
}