Pith Number
pith:T2PLZ6CN
pith:2025:T2PLZ6CNYB7H5V6F5IQ4DIHSKY
not attested
not anchored
not stored
refs pending
CM3T: Framework for Efficient Multimodal Learning for Inhomogeneous Interaction Datasets
arxiv:2501.03332 v1 · 2025-01-06 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{T2PLZ6CNYB7H5V6F5IQ4DIHSKY}
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
✓
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 | 2026-07-05T09:57:52.691668Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9e9ebcf84dc07e7ed7c5ea21c1a0f256293e0a1af41820ff99430c3dbb44526f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/T2PLZ6CNYB7H5V6F5IQ4DIHSKY \
| 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: 9e9ebcf84dc07e7ed7c5ea21c1a0f256293e0a1af41820ff99430c3dbb44526f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d4cd49135a6cf778805bb2c1c0dc9163ced0b2a1a2c2b9438a24ed6067bbb23c",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-01-06T19:01:10Z",
"title_canon_sha256": "df1e2152d44dd9808fb4be6119b2d92845a28f01cd8710f21a7f0665cf6926ba"
},
"schema_version": "1.0",
"source": {
"id": "2501.03332",
"kind": "arxiv",
"version": 1
}
}