Pith Number
pith:VGJZDUQ6
pith:2020:VGJZDUQ6PTRNKWUJB76REPCEB5
not attested
not anchored
not stored
refs pending
An Inductive Bias for Distances: Neural Nets that Respect the Triangle Inequality
arxiv:2002.05825 v3 · 2020-02-14 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VGJZDUQ6PTRNKWUJB76REPCEB5}
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 | 2026-07-05T01:16:44.928161Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a99391d21e7ce2d55a890ffd123c440f6a4ed545a9e1203e6713a7df359cef19
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VGJZDUQ6PTRNKWUJB76REPCEB5 \
| 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: a99391d21e7ce2d55a890ffd123c440f6a4ed545a9e1203e6713a7df359cef19
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "07d56b06f064135b5510060ef58f22336f59898353764b84311f821982df0b9c",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2020-02-14T00:47:31Z",
"title_canon_sha256": "5f33f7c184734797a37a0313fd91c52558cc3bf6f0316ec98647f2ae235dcbe3"
},
"schema_version": "1.0",
"source": {
"id": "2002.05825",
"kind": "arxiv",
"version": 3
}
}