Pith Number
pith:V73UAO5D
pith:2016:V73UAO5DCI7WKH2WWH6V2DLH6D
not attested
not anchored
not stored
refs pending
A Survey on Domain-Specific Languages for Machine Learning in Big Data
arxiv:1602.07637 v2 · 2016-02-24 · cs.SE · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{V73UAO5DCI7WKH2WWH6V2DLH6D}
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 | 2026-05-18T01:19:24.060455Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
aff7403ba3123f651f56b1fd5d0d67f0cd1901d12d9d2d22848601cd575c87c1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/V73UAO5DCI7WKH2WWH6V2DLH6D \
| 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: aff7403ba3123f651f56b1fd5d0d67f0cd1901d12d9d2d22848601cd575c87c1
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1697714f657043da4ae65f28d0238425d412191bc45d267f841d9763945b7aa1",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.SE",
"submitted_at": "2016-02-24T18:58:34Z",
"title_canon_sha256": "75de014133318fc98527aa919419819bbf77ba613fab8e5d52e530eddb2b902e"
},
"schema_version": "1.0",
"source": {
"id": "1602.07637",
"kind": "arxiv",
"version": 2
}
}