Pith Number
pith:KBGI2EQL
pith:2025:KBGI2EQLAMIW7NKFALRFG7RLKI
not attested
not anchored
not stored
refs pending
R1-Searcher++: Incentivizing the Dynamic Knowledge Acquisition of LLMs via Reinforcement Learning
arxiv:2505.17005 v1 · 2025-05-22 · cs.CL · cs.AI · cs.IR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KBGI2EQLAMIW7NKFALRFG7RLKI}
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 | 2026-07-05T11:07:44.428147Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
504c8d120b03116fb54502e2537e2b522c0e6dfb26f52d05c9cd6c21619f9e79
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KBGI2EQLAMIW7NKFALRFG7RLKI \
| 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: 504c8d120b03116fb54502e2537e2b522c0e6dfb26f52d05c9cd6c21619f9e79
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "36386db39b7ceecc8d2e093de54b7dd501c306e41a7735f7010002b33dd16db6",
"cross_cats_sorted": [
"cs.AI",
"cs.IR"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2025-05-22T17:58:26Z",
"title_canon_sha256": "4c42d957265fcbf0c67a4d5ce543545bc81c5039cc4195359338f77b38fec956"
},
"schema_version": "1.0",
"source": {
"id": "2505.17005",
"kind": "arxiv",
"version": 1
}
}