Pith Number
pith:74M6FKIA
pith:2019:74M6FKIAE2ZBKL5N2NW5P2S5NZ
not attested
not anchored
not stored
refs pending
Weakly Aligned Cross-Modal Learning for Multispectral Pedestrian Detection
arxiv:1901.02645 v2 · 2019-01-09 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{74M6FKIAE2ZBKL5N2NW5P2S5NZ}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T00:13:01.188603Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ff19e2a90026b2152fadd36dd7ea5d6e7d26f716012ab29725ab572dc2f27824
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/74M6FKIAE2ZBKL5N2NW5P2S5NZ \
| 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: ff19e2a90026b2152fadd36dd7ea5d6e7d26f716012ab29725ab572dc2f27824
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d104f457110dd1780822a4d58d8791f6f0d9da8757327bf0fcd62c3b4b588e94",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2019-01-09T09:16:36Z",
"title_canon_sha256": "80cabee0dd1e79fb526d8aac74678461bf566f7d174e0b2f848ad825c47305de"
},
"schema_version": "1.0",
"source": {
"id": "1901.02645",
"kind": "arxiv",
"version": 2
}
}