Pith Number
pith:2R4NXBFL
pith:2025:2R4NXBFLTQXJBDGNTKOURDSRRG
not attested
not anchored
not stored
refs pending
"I know myself better, but not really greatly": How Well Can LLMs Detect and Explain LLM-Generated Texts?
arxiv:2502.12743 v2 · 2025-02-18 · cs.CL · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2R4NXBFLTQXJBDGNTKOURDSRRG}
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 | 2026-07-05T11:26:26.256668Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d478db84ab9c2e908ccd9a9d488e51898a95a30379c45d7effeab1baff92f1a7
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2R4NXBFLTQXJBDGNTKOURDSRRG \
| 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: d478db84ab9c2e908ccd9a9d488e51898a95a30379c45d7effeab1baff92f1a7
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0790288f255ea2cc080966daf89a166af2b03a6a6b2c4d1f75c6ee87a5011d26",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2025-02-18T11:00:28Z",
"title_canon_sha256": "03e237077e14fa47eb73107a3e773f2bc05ef02e0b68241b622bbed6f76fd3bb"
},
"schema_version": "1.0",
"source": {
"id": "2502.12743",
"kind": "arxiv",
"version": 2
}
}