Pith Number
pith:FRZW256N
pith:2021:FRZW256N4H3J5WXPZD2U2UY2QK
not attested
not anchored
not stored
refs pending
GridTracer: Automatic Mapping of Power Grids using Deep Learning and Overhead Imagery
arxiv:2101.06390 v1 · 2021-01-16 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FRZW256N4H3J5WXPZD2U2UY2QK}
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 | 2026-07-05T02:07:17.900428Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2c736d77cde1f69edaefc8f54d531a82b110b889327fba5bd7d960125e765e6a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FRZW256N4H3J5WXPZD2U2UY2QK \
| 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: 2c736d77cde1f69edaefc8f54d531a82b110b889327fba5bd7d960125e765e6a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2a7ae0d000b7e34df2eea9ecf8edac0a716827e571f530412574e9f25984b4d3",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2021-01-16T07:23:42Z",
"title_canon_sha256": "7c113a81c204605d597f2204bec52accfb83a099b38522c7d420e55cd561ce09"
},
"schema_version": "1.0",
"source": {
"id": "2101.06390",
"kind": "arxiv",
"version": 1
}
}