Pith Number
pith:AWRITZSI
pith:2017:AWRITZSIBP66CQU32A3VRIQCAI
not attested
not anchored
not stored
refs pending
Limiting the Reconstruction Capability of Generative Neural Network using Negative Learning
arxiv:1708.08985 v1 · 2017-08-16 · cs.CV · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{AWRITZSIBP66CQU32A3VRIQCAI}
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 | 2026-05-18T00:36:21.491169Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
05a289e6480bfde1429bd03758a202020e6b0121b6b0a4312d0735b1550a3a22
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AWRITZSIBP66CQU32A3VRIQCAI \
| 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: 05a289e6480bfde1429bd03758a202020e6b0121b6b0a4312d0735b1550a3a22
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0660684b0e5fd2b5963003522a7b65ca8bd84283c16baabfdc7ef2d08a8971e5",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-08-16T01:16:14Z",
"title_canon_sha256": "51727e9abf6632d590c119d2429ec872946533eb98ea7dbc7d20d6d58245f611"
},
"schema_version": "1.0",
"source": {
"id": "1708.08985",
"kind": "arxiv",
"version": 1
}
}