Pith Number
pith:XGI5K2HK
pith:2020:XGI5K2HKSO4LZTLDRCFPNBS2VN
not attested
not anchored
not stored
refs pending
Learning Embeddings for Image Clustering: An Empirical Study of Triplet Loss Approaches
arxiv:2007.03123 v1 · 2020-07-06 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XGI5K2HKSO4LZTLDRCFPNBS2VN}
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 | 2026-07-05T01:16:59.784902Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b991d568ea93b8bccd63888af6865aab5436ff77da529e614dbcec04c35896f2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XGI5K2HKSO4LZTLDRCFPNBS2VN \
| 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: b991d568ea93b8bccd63888af6865aab5436ff77da529e614dbcec04c35896f2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "63afe0682168bf112628b973abe6127649bc12fdda088b5eaa35587d65d3facf",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2020-07-06T23:38:14Z",
"title_canon_sha256": "103c5480a2e2f5abf8d20d8db7855cd3230d82f9f517ece2e77f2b0911b24bd1"
},
"schema_version": "1.0",
"source": {
"id": "2007.03123",
"kind": "arxiv",
"version": 1
}
}