Pith Number
pith:QGQ66PPN
pith:2019:QGQ66PPNTAKN5T32CLO4MZNUDX
not attested
not anchored
not stored
refs pending
Signal-to-Noise Ratio: A Robust Distance Metric for Deep Metric Learning
arxiv:1904.02616 v1 · 2019-04-04 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{QGQ66PPNTAKN5T32CLO4MZNUDX}
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 | 2026-05-17T23:49:23.182589Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
81a1ef3ded9814decf7a12ddc665b41dd5e8e9e53b8ee088417f91ec9fb53f05
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QGQ66PPNTAKN5T32CLO4MZNUDX \
| 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: 81a1ef3ded9814decf7a12ddc665b41dd5e8e9e53b8ee088417f91ec9fb53f05
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1502b745a1c984c1aec5bf275d2332878e87a7d2db3e2e62f5bd9f36df5e3831",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2019-04-04T15:42:58Z",
"title_canon_sha256": "184b2f842cbe9cc4ff2dbc6b9b7150e9cbd835de341e7f097d71c50a29ab93a7"
},
"schema_version": "1.0",
"source": {
"id": "1904.02616",
"kind": "arxiv",
"version": 1
}
}