Pith Number
pith:LYE3COGT
pith:2020:LYE3COGTP4DGP5GTJ2GPMRZZKJ
not attested
not anchored
not stored
refs pending
Optimal STEM Convergence Angle Selection using a Convolutional Neural Network and the Strehl Ratio
arxiv:2007.12281 v1 · 2020-07-23 · physics.data-an
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LYE3COGTP4DGP5GTJ2GPMRZZKJ}
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 | 2026-07-05T01:47:26.119861Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5e09b138d37f0667f4d34e8cf64739527913a7074dab163633b2c1c0d8895168
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LYE3COGTP4DGP5GTJ2GPMRZZKJ \
| 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: 5e09b138d37f0667f4d34e8cf64739527913a7074dab163633b2c1c0d8895168
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "342191d4a8abaed44055225d8f2cec3b5954341c58b439c44d57987e065880fb",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "physics.data-an",
"submitted_at": "2020-07-23T22:36:15Z",
"title_canon_sha256": "1dbde479696d1377e733f866f4723ee3e15564726f1231d81c9e3160edf31033"
},
"schema_version": "1.0",
"source": {
"id": "2007.12281",
"kind": "arxiv",
"version": 1
}
}