Pith Number
pith:H6ZWXPME
pith:2018:H6ZWXPME4EXVFH4MHUXJLRWHQN
not attested
not anchored
not stored
refs pending
PROPEL: Probabilistic Parametric Regression Loss for Convolutional Neural Networks
arxiv:1807.10937 v2 · 2018-07-28 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{H6ZWXPME4EXVFH4MHUXJLRWHQN}
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 | 2026-07-05T01:25:33.523747Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3fb36bbd84e12f529f8c3d2e95c6c783405db780450f95c44d34d911aad7db4f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/H6ZWXPME4EXVFH4MHUXJLRWHQN \
| 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: 3fb36bbd84e12f529f8c3d2e95c6c783405db780450f95c44d34d911aad7db4f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3719ca8d940d9a1c4e967ed0623a86f8faf6017cd44d608de5b06e79a871b5f4",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-07-28T13:41:44Z",
"title_canon_sha256": "1f241d0c3e4425c904fe0cf6a028bdb8ab2dc83a0f5ea7fdb37b5a98937f756b"
},
"schema_version": "1.0",
"source": {
"id": "1807.10937",
"kind": "arxiv",
"version": 2
}
}