Pith Number
pith:TJ3LZB5T
pith:2014:TJ3LZB5T6MMDCAEIEZZZQRQWNE
not attested
not anchored
not stored
refs pending
Modeling Compositionality with Multiplicative Recurrent Neural Networks
arxiv:1412.6577 v3 · 2014-12-20 · cs.LG · cs.CL · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{TJ3LZB5T6MMDCAEIEZZZQRQWNE}
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 | 2026-05-18T02:17:11.485780Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9a76bc87b3f3183100882673984616693ea2d81740a6f38c15c87a4251c29256
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/TJ3LZB5T6MMDCAEIEZZZQRQWNE \
| 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: 9a76bc87b3f3183100882673984616693ea2d81740a6f38c15c87a4251c29256
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "552c1ba76022f71f93b00d5d025a480cdc9741ea35a4ad558eeee70dc7e436f0",
"cross_cats_sorted": [
"cs.CL",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2014-12-20T01:53:22Z",
"title_canon_sha256": "8dd6d2a10ddb6db12de387e66137a2f9b0e69e3015b69dad7c80be8173331dcd"
},
"schema_version": "1.0",
"source": {
"id": "1412.6577",
"kind": "arxiv",
"version": 3
}
}