Pith Number
pith:AKFAPELQ
pith:2020:AKFAPELQI2GJ5BE6D75H3BTW2H
not attested
not anchored
not stored
refs pending
Large image datasets: A pyrrhic win for computer vision?
arxiv:2006.16923 v2 · 2020-06-24 · cs.CY · stat.AP · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{AKFAPELQI2GJ5BE6D75H3BTW2H}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T01:21:49.053999Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
028a079170468c9e849e1ffa7d8676d1d6e1380757a54fd84bf4d026a07fa47a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AKFAPELQI2GJ5BE6D75H3BTW2H \
| 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: 028a079170468c9e849e1ffa7d8676d1d6e1380757a54fd84bf4d026a07fa47a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "66e5c107f50ce65365271b597fa9e2085f3ea53ec234c0e262f0dcea385a088a",
"cross_cats_sorted": [
"stat.AP",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CY",
"submitted_at": "2020-06-24T06:41:32Z",
"title_canon_sha256": "f12396927c15267fa7c1790322dd75bb98d75ed3043e99e3fa5bbc02e6e433c0"
},
"schema_version": "1.0",
"source": {
"id": "2006.16923",
"kind": "arxiv",
"version": 2
}
}