Pith Number
pith:JY2GSFYE
pith:2024:JY2GSFYEV4GEUY425OBMPBMNS7
not attested
not anchored
not stored
refs pending
Exploring Multi-modal Neural Scene Representations With Applications on Thermal Imaging
arxiv:2403.11865 v2 · 2024-03-18 · cs.CV · cs.AI · cs.GR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JY2GSFYEV4GEUY425OBMPBMNS7}
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
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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 | 2026-07-05T08:58:22.910934Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4e34691704af0c4a639aeb82c7858d97f15ceff5c9f341ea89f00ca9df8e0f7a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JY2GSFYEV4GEUY425OBMPBMNS7 \
| 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: 4e34691704af0c4a639aeb82c7858d97f15ceff5c9f341ea89f00ca9df8e0f7a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "151c5f7e507f952481aa250bca11a210298a2ca362c961255cd51c545de742b1",
"cross_cats_sorted": [
"cs.AI",
"cs.GR"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-03-18T15:18:55Z",
"title_canon_sha256": "119297c5456c5a6050b28863748e2d96ab7f19a87f6062a8a1e26c241bf47df9"
},
"schema_version": "1.0",
"source": {
"id": "2403.11865",
"kind": "arxiv",
"version": 2
}
}