Pith Number
pith:GCC5SDYY
pith:2024:GCC5SDYYU4KGV6WKBDAUREPT4J
not attested
not anchored
not stored
refs pending
CrisisSense-LLM: Instruction Fine-Tuned Large Language Model for Multi-label Social Media Text Classification in Disaster Informatics
arxiv:2406.15477 v3 · 2024-06-16 · cs.CL · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GCC5SDYYU4KGV6WKBDAUREPT4J}
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
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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 | 2026-07-05T11:49:45.818806Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3085d90f18a7146afaca08c14891f3e2556db1bc8aa1e359a62f579c3605cbed
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GCC5SDYYU4KGV6WKBDAUREPT4J \
| 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: 3085d90f18a7146afaca08c14891f3e2556db1bc8aa1e359a62f579c3605cbed
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "fbabc9ab0a671a906300ed140633a785b5a895b5325b3cca274b194be8ff5571",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2024-06-16T23:01:10Z",
"title_canon_sha256": "080b0e6a46c2e78905dbbaa51f307e3c290fad07b4b113938df7d3b40ee04841"
},
"schema_version": "1.0",
"source": {
"id": "2406.15477",
"kind": "arxiv",
"version": 3
}
}