Pith Number
pith:27FG7NZT
pith:2015:27FG7NZTFX3ULVML5V27CO652Q
not attested
not anchored
not stored
refs pending
A Unified Tagging Solution: Bidirectional LSTM Recurrent Neural Network with Word Embedding
arxiv:1511.00215 v1 · 2015-11-01 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{27FG7NZTFX3ULVML5V27CO652Q}
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 | 2026-05-18T01:28:12.914517Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d7ca6fb7332df745d58bed75f13bddd41e3dab5a4e4c6930240f11deac7f1ebf
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/27FG7NZTFX3ULVML5V27CO652Q \
| 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: d7ca6fb7332df745d58bed75f13bddd41e3dab5a4e4c6930240f11deac7f1ebf
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c69e0006d5d17b365416e0c24864fa7ec5245fc14ddb3650db7de1d1c33b9b9e",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2015-11-01T07:59:48Z",
"title_canon_sha256": "35bc08cdf176f28299bb0caf7487533215b085ba50fbb3084db3c10c853fd478"
},
"schema_version": "1.0",
"source": {
"id": "1511.00215",
"kind": "arxiv",
"version": 1
}
}