Pith Number
pith:S3BGS7HJ
pith:2024:S3BGS7HJKW5CBTY2ELTBZ5QC3O
not attested
not anchored
not stored
refs pending
A Unified View on Learning Unnormalized Distributions via Noise-Contrastive Estimation
arxiv:2409.18209 v2 · 2024-09-26 · stat.ML · cs.LG · math.ST · stat.TH
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{S3BGS7HJKW5CBTY2ELTBZ5QC3O}
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 | 2026-07-05T11:36:22.308502Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
96c2697ce955ba20cf1a22e61cf602dbb63f561806d6354674aa023fffa294ef
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/S3BGS7HJKW5CBTY2ELTBZ5QC3O \
| 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: 96c2697ce955ba20cf1a22e61cf602dbb63f561806d6354674aa023fffa294ef
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2513819e6a3198f1f22730de76144cf57e2ff614680b9889bd87d3b83b8e208c",
"cross_cats_sorted": [
"cs.LG",
"math.ST",
"stat.TH"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "stat.ML",
"submitted_at": "2024-09-26T18:41:19Z",
"title_canon_sha256": "a1a8a5794f5dd97e3c7e4f8cf666d03dfc2629380f2b4a6a5dbf5f26d625a76d"
},
"schema_version": "1.0",
"source": {
"id": "2409.18209",
"kind": "arxiv",
"version": 2
}
}