Pith Number
pith:2H6MPROE
pith:2018:2H6MPROESVXKWBJNVZ7IYIKTJS
not attested
not anchored
not stored
refs pending
Diagnosing Glaucoma Progression with Visual Field Data Using a Spatiotemporal Boundary Detection Method
arxiv:1805.11636 v1 · 2018-05-29 · stat.AP
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2H6MPROESVXKWBJNVZ7IYIKTJS}
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 | 2026-05-18T00:14:37.232565Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d1fcc7c5c4956eab052dae7e8c21534c864e897e5d7d483da6d49723780b92a7
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2H6MPROESVXKWBJNVZ7IYIKTJS \
| 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: d1fcc7c5c4956eab052dae7e8c21534c864e897e5d7d483da6d49723780b92a7
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "df9576e39e7c0d23fd736a2a3450c5ca3cb22b9d4dc69c72c8743df0eaa590df",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.AP",
"submitted_at": "2018-05-29T18:22:03Z",
"title_canon_sha256": "783159e8d869f1bba72c2dc1ba5d80d41ae1dd7a158372c8ccd0354d07e1da31"
},
"schema_version": "1.0",
"source": {
"id": "1805.11636",
"kind": "arxiv",
"version": 1
}
}