Pith Number
pith:VQHM232W
pith:2021:VQHM232WGPLVEMFIBGZMKK63ZY
not attested
not anchored
not stored
refs pending
Exploring Adversarial Robustness of Deep Metric Learning
arxiv:2102.07265 v1 · 2021-02-14 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VQHM232WGPLVEMFIBGZMKK63ZY}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T02:15:14.263835Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ac0ecd6f5633d75230a809b2c52bdbce09d6034a6a7506d70270ac3e08246791
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VQHM232WGPLVEMFIBGZMKK63ZY \
| 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: ac0ecd6f5633d75230a809b2c52bdbce09d6034a6a7506d70270ac3e08246791
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "748ecc80d8fca27b2e9d3bfcbabb2b352113ab532afe32ac96966ad45f48093e",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2021-02-14T23:18:12Z",
"title_canon_sha256": "aea50ceaed0766275caded2c458c8f86771c5acbd5c71d2abfa864a5da8ef3cc"
},
"schema_version": "1.0",
"source": {
"id": "2102.07265",
"kind": "arxiv",
"version": 1
}
}