Pith Number
pith:SPRWYEVE
pith:2025:SPRWYEVETV7LTYEC6DB4NOJYMF
not attested
not anchored
not stored
refs pending
Graph Learning for Bidirectional Disease Contact Tracing on Real Human Mobility Data
arxiv:2501.18531 v1 · 2025-01-30 · cs.SI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{SPRWYEVETV7LTYEC6DB4NOJYMF}
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 | 2026-07-05T10:07:35.188095Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
93e36c12a49d7eb9e082f0c3c6b93861422da4fc47775192e2838c7363d3b24f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/SPRWYEVETV7LTYEC6DB4NOJYMF \
| 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: 93e36c12a49d7eb9e082f0c3c6b93861422da4fc47775192e2838c7363d3b24f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f08215691e78b27445332ffb1f686fea46fc0a12f479a83278da1633df802319",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.SI",
"submitted_at": "2025-01-30T17:57:15Z",
"title_canon_sha256": "acaa6bcd3f00a1f4425be1c7d04e6ef8fe1a04a0010ebd4b6d7f37ec0bd74219"
},
"schema_version": "1.0",
"source": {
"id": "2501.18531",
"kind": "arxiv",
"version": 1
}
}