Pith Number
pith:PVCVP5RY
pith:2026:PVCVP5RYPHRZJZMJ7COJOQ64X6
not attested
not anchored
not stored
refs pending
CDIS: Cross-Dimensional Class-Agnostic 3D Instance Segmentation via 2D Mask Tracking and 3D-2D Projection Merging
arxiv:2607.17778 v1 · 2026-07-20 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{PVCVP5RYPHRZJZMJ7COJOQ64X6}
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 | 2026-07-21T02:21:59.696662Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7d4557f63879e394e589f89c9743dcbf90d1b386836c229cdabc0b5081a4f9b8
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PVCVP5RYPHRZJZMJ7COJOQ64X6 \
| 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: 7d4557f63879e394e589f89c9743dcbf90d1b386836c229cdabc0b5081a4f9b8
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "eeb627be04b88c4bb815371a02d278c8051d2e6b4b6144706443773f1f5b377a",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2026-07-20T10:09:12Z",
"title_canon_sha256": "feb50b418866618f31d332ab76daa2b942e558a61fa936205f69b854eb1ef7a3"
},
"schema_version": "1.0",
"source": {
"id": "2607.17778",
"kind": "arxiv",
"version": 1
}
}