Pith Number
pith:TMN64O2A
pith:2024:TMN64O2ACQ2SZVMX6OKME5UIFC
not attested
not anchored
not stored
refs pending
Beyond Human Preferences: Exploring Reinforcement Learning Trajectory Evaluation and Improvement through LLMs
arxiv:2406.19644 v2 · 2024-06-28 · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{TMN64O2ACQ2SZVMX6OKME5UIFC}
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.
Receipt and verification
| First computed | 2026-07-05T08:38:12.779499Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9b1bee3b4014352cd597f394c2768828be05c045060de9144a0d2ecbfe09d5ef
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/TMN64O2ACQ2SZVMX6OKME5UIFC \
| 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: 9b1bee3b4014352cd597f394c2768828be05c045060de9144a0d2ecbfe09d5ef
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7270ecd7bc97d72eabe29007b53219f623da7c6b7e2cb34809b7090156f6a441",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.AI",
"submitted_at": "2024-06-28T04:21:24Z",
"title_canon_sha256": "356889a8f0bd6da4ab9e18e7ec58b38b94a915f837e2a0eb81df22ae1788c360"
},
"schema_version": "1.0",
"source": {
"id": "2406.19644",
"kind": "arxiv",
"version": 2
}
}