Pith Number
pith:MGT4LMJX
pith:2019:MGT4LMJXYLY74NHXHNMU5BCOJG
not attested
not anchored
not stored
refs pending
Multi-modal Graph Fusion for Inductive Disease Classification in Incomplete Datasets
arxiv:1905.03053 v1 · 2019-05-08 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MGT4LMJXYLY74NHXHNMU5BCOJG}
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 | 2026-05-17T23:46:43.004753Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
61a7c5b137c2f1fe34f73b594e844e49b646e8654eb4dd2723cd042ebf61180f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MGT4LMJXYLY74NHXHNMU5BCOJG \
| 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: 61a7c5b137c2f1fe34f73b594e844e49b646e8654eb4dd2723cd042ebf61180f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e86678633a91dcfb8e1d5d619afbb43854790e85e7a74066807e8967cebf9318",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2019-05-08T13:10:14Z",
"title_canon_sha256": "f3e5c3ba733f7bf156b426c51fbff7eb3176ee74e79e1b0c0b19f8d4751055e0"
},
"schema_version": "1.0",
"source": {
"id": "1905.03053",
"kind": "arxiv",
"version": 1
}
}