Pith Number
pith:D7G4YSKC
pith:2026:D7G4YSKCD6Z2DF4OPVX3SYZ3MU
not attested
not anchored
not stored
refs pending
From Coarse to Fine: Managing Temporal Granularity in Spatio-Temporal Data for Fine-Grained Traffic Prediction
arxiv:2606.09392 v1 · 2026-06-08 · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{D7G4YSKCD6Z2DF4OPVX3SYZ3MU}
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 | 2026-06-09T02:08:19.611267Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1fcdcc49421fb3a1978e7d6fb9633b653c57dbc74106bd75c1e909a1999d4840
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/D7G4YSKCD6Z2DF4OPVX3SYZ3MU \
| 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: 1fcdcc49421fb3a1978e7d6fb9633b653c57dbc74106bd75c1e909a1999d4840
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d4b30a810080b5a2c024fcd5795dbe50c68581964fa29d44e5012764cb80d458",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.AI",
"submitted_at": "2026-06-08T12:07:13Z",
"title_canon_sha256": "dfdb1ee9ea265f37acb6b1db5f3512849b1dcf1c6e2dd1adf7d20ae8f6f5cf4a"
},
"schema_version": "1.0",
"source": {
"id": "2606.09392",
"kind": "arxiv",
"version": 1
}
}