Pith Number
pith:W5FGX5WF
pith:2021:W5FGX5WFX2UBULDD5QR7FN3D2N
not attested
not anchored
not stored
refs pending
Finding quadruply imaged quasars with machine learning. I. Methods
arxiv:2109.09781 v1 · 2021-09-20 · astro-ph.CO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{W5FGX5WFX2UBULDD5QR7FN3D2N}
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 | 2026-07-05T04:13:42.918334Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b74a6bf6c5bea81a2c63ec23f2b763d36c5d3fb20a7b6cc2d7212ac58bddf938
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/W5FGX5WFX2UBULDD5QR7FN3D2N \
| 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: b74a6bf6c5bea81a2c63ec23f2b763d36c5d3fb20a7b6cc2d7212ac58bddf938
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7f74329bc24de073908c7459cc622ac9a15b8e0ed5b4449e599a38472471244b",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "astro-ph.CO",
"submitted_at": "2021-09-20T18:17:16Z",
"title_canon_sha256": "d57bfca830f181beb950c34cb7d46a6e268bf42d4a4470fa07dad5d2021593ea"
},
"schema_version": "1.0",
"source": {
"id": "2109.09781",
"kind": "arxiv",
"version": 1
}
}