Pith Number
pith:AVZOFBGJ
pith:2025:AVZOFBGJLUEU2RL743ZE2A2ILV
not attested
not anchored
not stored
refs pending
Urban Representation Learning for Fine-grained Economic Mapping: A Semi-supervised Graph-based Approach
arxiv:2505.11645 v1 · 2025-05-16 · cs.LG · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{AVZOFBGJLUEU2RL743ZE2A2ILV}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T11:04:24.758928Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0572e284c95d094d457fe6f24d03485d7c517ebf1cdd049f2ba113f73228458a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AVZOFBGJLUEU2RL743ZE2A2ILV \
| 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: 0572e284c95d094d457fe6f24d03485d7c517ebf1cdd049f2ba113f73228458a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "25324bb4388bb73674afb4b46706c8e426983830bfeebba8f751f7724f471226",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-05-16T19:12:08Z",
"title_canon_sha256": "11b820314ba8ab41c5d251dd9e4c3dfb403364ae306947cbf3fc513e9c54f20e"
},
"schema_version": "1.0",
"source": {
"id": "2505.11645",
"kind": "arxiv",
"version": 1
}
}