Pith Number
pith:VWMYVJM2
pith:2025:VWMYVJM2CZQMGGWWMQKO5GZ43E
not attested
not anchored
not stored
refs pending
Seeing Eye to AI? Applying Deep-Feature-Based Similarity Metrics to Information Visualization
arxiv:2503.00228 v1 · 2025-02-28 · cs.HC · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VWMYVJM2CZQMGGWWMQKO5GZ43E}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T10:22:59.094257Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ad998aa59a1660c31ad66414ee9b3cd926e226d961a4bd6471d24090bf91c58b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VWMYVJM2CZQMGGWWMQKO5GZ43E \
| 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: ad998aa59a1660c31ad66414ee9b3cd926e226d961a4bd6471d24090bf91c58b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "aba5a5de8a67b32a6b9dd318ae23d420fa976222e4d39f9aee81e13c2009e64b",
"cross_cats_sorted": [
"cs.CV",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.HC",
"submitted_at": "2025-02-28T22:25:04Z",
"title_canon_sha256": "e8637a00f02285baec31f65a2d2382805f68bd356313673214dc1785da28c849"
},
"schema_version": "1.0",
"source": {
"id": "2503.00228",
"kind": "arxiv",
"version": 1
}
}