Pith Number
pith:ONGTOAKY
pith:2023:ONGTOAKYHX3LCAKJ3WQB4N4EOL
not attested
not anchored
not stored
refs pending
LLM-in-the-loop: Leveraging Large Language Model for Thematic Analysis
arxiv:2310.15100 v1 · 2023-10-23 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ONGTOAKYHX3LCAKJ3WQB4N4EOL}
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 | 2026-07-05T07:04:06.081686Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
734d3701583df6b10149dda01e378472d06c38ca3d10467cf6a5a27f335b801d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ONGTOAKYHX3LCAKJ3WQB4N4EOL \
| 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: 734d3701583df6b10149dda01e378472d06c38ca3d10467cf6a5a27f335b801d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "006751afc1bfd634fdee9712cd032a89c14a20150c2d4847f58fbbbb8cb01b02",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2023-10-23T17:05:59Z",
"title_canon_sha256": "4dac5a8a9291639cebf7fb41fe7d3e7614fe4f2e79c0c1ff45203c5d88f20701"
},
"schema_version": "1.0",
"source": {
"id": "2310.15100",
"kind": "arxiv",
"version": 1
}
}