Pith Number
pith:6TIBPTEM
pith:2025:6TIBPTEM2ZPCAWJJZU7U3WCDZW
not attested
not anchored
not stored
refs pending
STeCa: Step-level Trajectory Calibration for LLM Agent Learning
arxiv:2502.14276 v2 · 2025-02-20 · cs.LG · cs.AI · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6TIBPTEM2ZPCAWJJZU7U3WCDZW}
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
Author claim
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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 | 2026-07-05T11:11:42.146447Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f4d017cc8cd65e205929cd3f4dd843cdabf6d27e50db8185fd49340ef68d66e0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6TIBPTEM2ZPCAWJJZU7U3WCDZW \
| 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: f4d017cc8cd65e205929cd3f4dd843cdabf6d27e50db8185fd49340ef68d66e0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1cf2e9dcc64cff3692e377e5e19851259e9f352b8087ad1c05e1b15578fcd8db",
"cross_cats_sorted": [
"cs.AI",
"cs.CL"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-02-20T05:28:44Z",
"title_canon_sha256": "82d5b9937b1933bf5a5a91ae145346f106cf9d7552786b17f7ccd9db9280f0e8"
},
"schema_version": "1.0",
"source": {
"id": "2502.14276",
"kind": "arxiv",
"version": 2
}
}