Pith Number
pith:HPPC4PZD
pith:2017:HPPC4PZDBP6UB6FRTZOAHWKL4B
not attested
not anchored
not stored
refs pending
Learning Energy-Based Models as Generative ConvNets via Multi-grid Modeling and Sampling
arxiv:1709.08868 v3 · 2017-09-26 · stat.ML · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HPPC4PZDBP6UB6FRTZOAHWKL4B}
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 | 2026-07-05T01:43:04.291297Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3bde2e3f230bfd40f8b19e5c03d94be07d569c76d1ba674e3d8919255a90ce6a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HPPC4PZDBP6UB6FRTZOAHWKL4B \
| 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: 3bde2e3f230bfd40f8b19e5c03d94be07d569c76d1ba674e3d8919255a90ce6a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2c2c294a4742ecde9065806d5c2b52601f3614911a882f52d9c9e19e010697e6",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2017-09-26T07:48:52Z",
"title_canon_sha256": "43a26b1c90616ff48662882fb868645219749ff7bc13d98e10a7cca60e7336f4"
},
"schema_version": "1.0",
"source": {
"id": "1709.08868",
"kind": "arxiv",
"version": 3
}
}