Pith Number
pith:AHXPB7YQ
pith:2025:AHXPB7YQ3UQGBTCV2I7WZDFZ2X
not attested
not anchored
not stored
refs pending
Meta-Thinking in LLMs via Multi-Agent Reinforcement Learning: A Survey
arxiv:2504.14520 v1 · 2025-04-20 · cs.AI · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{AHXPB7YQ3UQGBTCV2I7WZDFZ2X}
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 | 2026-07-05T10:51:44.714972Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
01eef0ff10dd2060cc55d23f6c8cb9d5ffce1e1d140397f657bfbccbfae9395b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AHXPB7YQ3UQGBTCV2I7WZDFZ2X \
| 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: 01eef0ff10dd2060cc55d23f6c8cb9d5ffce1e1d140397f657bfbccbfae9395b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8410740631309b9d4f33e41bf73641f3afd0cbf141b1a1d51d2c6e6f7b99738b",
"cross_cats_sorted": [
"cs.CL"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.AI",
"submitted_at": "2025-04-20T07:34:26Z",
"title_canon_sha256": "335578b59bf2f86886afb7d745483c674141cd15f62f0c11dadb666e7297183b"
},
"schema_version": "1.0",
"source": {
"id": "2504.14520",
"kind": "arxiv",
"version": 1
}
}