Pith Number
pith:6X7VDPC4
pith:2023:6X7VDPC4CPKHKADC7K7IUPO2OC
not attested
not anchored
not stored
refs pending
Adapting to Skew: Imputing Spatiotemporal Urban Data with 3D Partial Convolutions and Biased Masking
arxiv:2301.04233 v1 · 2023-01-10 · cs.CV · cs.AI · cs.CY
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6X7VDPC4CPKHKADC7K7IUPO2OC}
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 | 2026-07-05T05:32:13.940872Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f5ff51bc5c13d4750062fabe8a3dda709f4f0fce0ad3babb5ba13639c0e6d0be
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6X7VDPC4CPKHKADC7K7IUPO2OC \
| 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: f5ff51bc5c13d4750062fabe8a3dda709f4f0fce0ad3babb5ba13639c0e6d0be
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "eb3357c739b5b2989ee9755c576ef40b5e79a0e1cff919dfafd6e64e51880b82",
"cross_cats_sorted": [
"cs.AI",
"cs.CY"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2023-01-10T22:44:22Z",
"title_canon_sha256": "1f86a455e9b6812d46775b0c77d27ff9b8210a3ac267a469259e77d4d3cfe249"
},
"schema_version": "1.0",
"source": {
"id": "2301.04233",
"kind": "arxiv",
"version": 1
}
}