Pith Number
pith:YGR4BVVZ
pith:2016:YGR4BVVZFAWZIRIV476ARA2ONN
not attested
not anchored
not stored
refs pending
Squared Earth Mover's Distance-based Loss for Training Deep Neural Networks
arxiv:1611.05916 v4 · 2016-11-17 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{YGR4BVVZFAWZIRIV476ARA2ONN}
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 | 2026-05-18T00:47:26.629627Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c1a3c0d6b9282d944515e7fc08834e6b60aae67875e8e7b5e0c846ca0707a65b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YGR4BVVZFAWZIRIV476ARA2ONN \
| 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: c1a3c0d6b9282d944515e7fc08834e6b60aae67875e8e7b5e0c846ca0707a65b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d6bb6b63db30175a8ced79244a7b59b993926d154160b5bdacd1b66801e8e223",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2016-11-17T22:03:35Z",
"title_canon_sha256": "2178a690226c3eaf4cb27fd2f8ad827ec1c291b680bbffa772b48326090487d6"
},
"schema_version": "1.0",
"source": {
"id": "1611.05916",
"kind": "arxiv",
"version": 4
}
}