Pith Number
pith:ZTTF23EN
pith:2026:ZTTF23ENB5UBXM2I7XBIJHW35K
not attested
not anchored
not stored
refs pending
Reinforcement Learning with Metacognitive Feedback Elicits Faithful Uncertainty Expression in LLMs
arxiv:2606.32032 v1 · 2026-06-30 · cs.CL · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ZTTF23ENB5UBXM2I7XBIJHW35K}
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 | 2026-07-01T02:17:47.801866Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
cce65d6c8d0f681bb348fdc2849edbeaa60072d29d029b0d31ad8cb73b207aec
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZTTF23ENB5UBXM2I7XBIJHW35K \
| 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: cce65d6c8d0f681bb348fdc2849edbeaa60072d29d029b0d31ad8cb73b207aec
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "cf1a26bdb678709eb22004786c2d09816e0709e5f36cf3d8f0a3e1f9a7d00f4c",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2026-06-30T17:56:01Z",
"title_canon_sha256": "a084e1b8ebad81ff6d88e292ca8e963e9295f30844c209c32d4c334c8ce531c8"
},
"schema_version": "1.0",
"source": {
"id": "2606.32032",
"kind": "arxiv",
"version": 1
}
}