Pith Number
pith:MS2WYR6V
pith:2016:MS2WYR6VGKN7XNY3UH2SSSRSLR
not attested
not anchored
not stored
refs pending
Efficient Metric Learning for the Analysis of Motion Data
arxiv:1610.05083 v3 · 2016-10-17 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MS2WYR6VGKN7XNY3UH2SSSRSLR}
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 | 2026-05-17T23:51:34.828952Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
64b56c47d5329bfbb71ba1f5294a325c5f472dfb76f3476ce3e2b5813cf05e2a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MS2WYR6VGKN7XNY3UH2SSSRSLR \
| 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: 64b56c47d5329bfbb71ba1f5294a325c5f472dfb76f3476ce3e2b5813cf05e2a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "94fea1ff769a09680774904c0091f71849b944ff80266158d4386a97a52bda1f",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2016-10-17T12:47:20Z",
"title_canon_sha256": "fda17215de6cdf77470520e2cec2fd3ee5548a5e3d8b5842f514b09bb762ef90"
},
"schema_version": "1.0",
"source": {
"id": "1610.05083",
"kind": "arxiv",
"version": 3
}
}