Pith Number
pith:WCNJNCLN
pith:2025:WCNJNCLN4GQ6ADJZLVQESAXF35
not attested
not anchored
not stored
refs pending
A Survey of Slow Thinking-based Reasoning LLMs using Reinforced Learning and Inference-time Scaling Law
arxiv:2505.02665 v2 · 2025-05-05 · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{WCNJNCLN4GQ6ADJZLVQESAXF35}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T11:00:07.733818Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b09a96896de1a1e00d395d604902e5df508490c10b04335ce12e8b097aca5d49
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/WCNJNCLN4GQ6ADJZLVQESAXF35 \
| 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: b09a96896de1a1e00d395d604902e5df508490c10b04335ce12e8b097aca5d49
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "33ed58885edafeb026c8ba984daf3744cbd131cda2589fab5d17b89c47fccab1",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.AI",
"submitted_at": "2025-05-05T14:14:59Z",
"title_canon_sha256": "b087610a515f1730048c80dfdf4b757aa24ffbd42ae0abc821d8293b8bebfb76"
},
"schema_version": "1.0",
"source": {
"id": "2505.02665",
"kind": "arxiv",
"version": 2
}
}