Pith Number
pith:VJZTLRKP
pith:2021:VJZTLRKP7JKFF45PWZJA7DXGDQ
not attested
not anchored
not stored
refs pending
Grounding Psychological Shape Space in Convolutional Neural Networks
arxiv:2111.08409 v1 · 2021-11-16 · cs.LG · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VJZTLRKP7JKFF45PWZJA7DXGDQ}
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 | 2026-07-05T03:32:33.749327Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
aa7335c54ffa5452f3afb6520f8ee61c3e2f56f057cc4015fc8c4a7cca9e0bc8
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VJZTLRKP7JKFF45PWZJA7DXGDQ \
| 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: aa7335c54ffa5452f3afb6520f8ee61c3e2f56f057cc4015fc8c4a7cca9e0bc8
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "142044edacf23883cb9056f266eaa71e55efc05f70aa3a3ae3080aa5542871a7",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2021-11-16T12:21:07Z",
"title_canon_sha256": "9ffabdbdcf1d585343775acab4fa648ed07914310bc0671fe21d138eeb62c68e"
},
"schema_version": "1.0",
"source": {
"id": "2111.08409",
"kind": "arxiv",
"version": 1
}
}