Pith Number
pith:VJLOB6WP
pith:2017:VJLOB6WPR6GBVHL52MT2FCJG64
not attested
not anchored
not stored
refs pending
Learning Implicit Generative Models Using Differentiable Graph Tests
arxiv:1709.01006 v1 · 2017-09-04 · stat.ML · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VJLOB6WPR6GBVHL52MT2FCJG64}
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 | 2026-05-18T00:36:04.510459Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
aa56e0facf8f8c1a9d7dd327a28926f735c929e1bdfa6c08f0f8eb87107c3bf9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VJLOB6WPR6GBVHL52MT2FCJG64 \
| 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: aa56e0facf8f8c1a9d7dd327a28926f735c929e1bdfa6c08f0f8eb87107c3bf9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "24d94c1b33e193275166167fe3ea76c563d60b79bcaad08de4f54390974c0d75",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2017-09-04T15:34:59Z",
"title_canon_sha256": "badf58df3269079bedba7ef9ddb376736451a037f1314b964e4332b37dd3ebf6"
},
"schema_version": "1.0",
"source": {
"id": "1709.01006",
"kind": "arxiv",
"version": 1
}
}