Pith Number
pith:DJMTMX4W
pith:2017:DJMTMX4WBPFHTEPH2F2PMPLQ6Y
not attested
not anchored
not stored
refs pending
Max-Cosine Matching Based Neural Models for Recognizing Textual Entailment
arxiv:1705.09054 v1 · 2017-05-25 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DJMTMX4WBPFHTEPH2F2PMPLQ6Y}
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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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 | 2026-05-18T00:43:40.554992Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1a59365f960bca7991e7d174f63d70f607df88b6941a9b93aef2777de44183da
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DJMTMX4WBPFHTEPH2F2PMPLQ6Y \
| 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: 1a59365f960bca7991e7d174f63d70f607df88b6941a9b93aef2777de44183da
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "27594c6ede1deb92247dd6a9017302b606d640f61ade0fe5b1b48c8b4607fe3a",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2017-05-25T05:45:42Z",
"title_canon_sha256": "816cddb405b13b925673e51fb0464b6693c099745ccdca8e6084287ab79d6f62"
},
"schema_version": "1.0",
"source": {
"id": "1705.09054",
"kind": "arxiv",
"version": 1
}
}