Pith Number
pith:SQPMH3HQ
pith:2019:SQPMH3HQRLJQAD5FXGPHXYFRUM
not attested
not anchored
not stored
refs pending
End-to-End Learning of Multi-scale Convolutional Neural Network for Stereo Matching
arxiv:1906.10399 v1 · 2019-06-25 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{SQPMH3HQRLJQAD5FXGPHXYFRUM}
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 | 2026-05-17T23:42:18.175875Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
941ec3ecf08ad3000fa5b99e7be0b1a32003a7cd76e0cbee27a58991061ea3a1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/SQPMH3HQRLJQAD5FXGPHXYFRUM \
| 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: 941ec3ecf08ad3000fa5b99e7be0b1a32003a7cd76e0cbee27a58991061ea3a1
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5f4bbff164430f90e0cc9c65f64f8c804864932f920c57bbd51c09443e46e62f",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2019-06-25T09:15:22Z",
"title_canon_sha256": "9c00cf3a2b1f87e5716e5e48bf0631e96812d52299cf216dd0ac853ec91e8d72"
},
"schema_version": "1.0",
"source": {
"id": "1906.10399",
"kind": "arxiv",
"version": 1
}
}