Pith Number
pith:7LW4Q3KA
pith:2016:7LW4Q3KAOHANKNW4SXF4KNFPO5
not attested
not anchored
not stored
refs pending
From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification
arxiv:1602.02068 v2 · 2016-02-05 · cs.CL · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7LW4Q3KAOHANKNW4SXF4KNFPO5}
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.
Cited by
Receipt and verification
| First computed | 2026-05-18T01:21:10.794715Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
faedc86d4071c0d536dc95cbc534af7774a51d800d0dbb3d63f8354b4c85012a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7LW4Q3KAOHANKNW4SXF4KNFPO5 \
| 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: faedc86d4071c0d536dc95cbc534af7774a51d800d0dbb3d63f8354b4c85012a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "053ea99640964a3d1f160b28c87492944307c7f8d284e9127d2a3ab0294e72cb",
"cross_cats_sorted": [
"cs.LG",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2016-02-05T15:49:02Z",
"title_canon_sha256": "2b993da9841c927f138f228fac7f8f7310f36d1e4b66a64d0d16420b52b7b835"
},
"schema_version": "1.0",
"source": {
"id": "1602.02068",
"kind": "arxiv",
"version": 2
}
}