Pith Number
pith:MD57CZJS
pith:2024:MD57CZJSGC32DJZHLQZH2SIMJ7
not attested
not anchored
not stored
refs pending
Deep Learning with HM-VGG: AI Strategies for Multi-modal Image Analysis
arxiv:2410.24046 v1 · 2024-10-31 · eess.IV · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MD57CZJSGC32DJZHLQZH2SIMJ7}
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 | 2026-07-05T09:29:18.546295Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
60fbf1653230b7a1a7275c327d490c4fe49fd5c8e06c42252d44d9d321f2b511
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MD57CZJSGC32DJZHLQZH2SIMJ7 \
| 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: 60fbf1653230b7a1a7275c327d490c4fe49fd5c8e06c42252d44d9d321f2b511
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8a085ddab1a5f7cb4617988ad326ee2c68a9df67ac562df1a13bc21be3a6d852",
"cross_cats_sorted": [
"cs.CV",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2024-10-31T15:42:24Z",
"title_canon_sha256": "dca0db554f479566bd2e44a54fdcb0159020c3578714837f33a8784891c8ab93"
},
"schema_version": "1.0",
"source": {
"id": "2410.24046",
"kind": "arxiv",
"version": 1
}
}