Pith Number
pith:QNZIKHU3
pith:2015:QNZIKHU3VV2AVHMIBHXYZIIPEH
not attested
not anchored
not stored
refs pending
Predicting and visualizing psychological attributions with a deep neural network
arxiv:1512.01289 v2 · 2015-12-04 · cs.CV · cs.LG · cs.NE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{QNZIKHU3VV2AVHMIBHXYZIIPEH}
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 | 2026-05-18T00:54:04.801110Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
8372851e9bad740a9d8809ef8ca10f21d69fe138ed9ba03970414798447c867c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QNZIKHU3VV2AVHMIBHXYZIIPEH \
| 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: 8372851e9bad740a9d8809ef8ca10f21d69fe138ed9ba03970414798447c867c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ebc803d7b5d9d540f13c1bfc4c9e59c887b0f254c4413c87d0f040fb1b61e139",
"cross_cats_sorted": [
"cs.LG",
"cs.NE"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2015-12-04T00:24:16Z",
"title_canon_sha256": "2b92d62f5253d3543445d91744ec9adace21b18977e0009dc1bc46f49eede92c"
},
"schema_version": "1.0",
"source": {
"id": "1512.01289",
"kind": "arxiv",
"version": 2
}
}