Pith Number
pith:FBRS4QOJ
pith:2016:FBRS4QOJ7OT23G5DYFXFN64NR2
not attested
not anchored
not stored
refs pending
Correlated and Individual Multi-Modal Deep Learning for RGB-D Object Recognition
arxiv:1604.01655 v3 · 2016-04-06 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FBRS4QOJ7OT23G5DYFXFN64NR2}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-05-18T00:55:28.537847Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
28632e41c9fba7ad9ba3c16e56fb8d8ebef4f8b746247579378b5cbe799674b4
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FBRS4QOJ7OT23G5DYFXFN64NR2 \
| 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: 28632e41c9fba7ad9ba3c16e56fb8d8ebef4f8b746247579378b5cbe799674b4
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5f09c375ab96d659fd1e82f062e05817e1f3493851909d311ff2721b610ddf5f",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2016-04-06T15:06:02Z",
"title_canon_sha256": "02b3230e23e148d573e4b0f9cc9254b665499d6edf7707c6471ed2d821d8a897"
},
"schema_version": "1.0",
"source": {
"id": "1604.01655",
"kind": "arxiv",
"version": 3
}
}