Pith Number
pith:HVAYVNR7
pith:2016:HVAYVNR7IN2XGXKSL7SGOVDWOQ
not attested
not anchored
not stored
refs pending
Neurally-Guided Procedural Models: Amortized Inference for Procedural Graphics Programs using Neural Networks
arxiv:1603.06143 v2 · 2016-03-19 · cs.GR · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HVAYVNR7IN2XGXKSL7SGOVDWOQ}
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 | 2026-05-18T01:02:20.941089Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3d418ab63f4375735d525fe467547674132956f125d06eba2dc7102cf8ac4fdb
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HVAYVNR7IN2XGXKSL7SGOVDWOQ \
| 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: 3d418ab63f4375735d525fe467547674132956f125d06eba2dc7102cf8ac4fdb
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "104b5ef348e66108069a29bab50f7dd066c5f093b94f83912d71e68867755d78",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.GR",
"submitted_at": "2016-03-19T20:58:47Z",
"title_canon_sha256": "280c0773d6ed2cc4c4606eee26fe4013a61ea6d14b334b25149cb03a830ced04"
},
"schema_version": "1.0",
"source": {
"id": "1603.06143",
"kind": "arxiv",
"version": 2
}
}