Pith Number
pith:SNRBYH74
pith:2020:SNRBYH74YHGCO67IC7PIW52MTV
not attested
not anchored
not stored
refs pending
An ocular biomechanics environment for reinforcement learning
arxiv:2008.05088 v1 · 2020-08-12 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{SNRBYH74YHGCO67IC7PIW52MTV}
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 | 2026-07-05T01:26:43.493424Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
93621c1ffcc1cc277be817de8b774c9d7d28b59c0c1b1c28e37e88c168b0d575
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/SNRBYH74YHGCO67IC7PIW52MTV \
| 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: 93621c1ffcc1cc277be817de8b774c9d7d28b59c0c1b1c28e37e88c168b0d575
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a39c44b1842c30b4a5583c4b31c96e30acfc965aedc5cf01683659a9f5874244",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2020-08-12T03:39:37Z",
"title_canon_sha256": "424bcc9c9954d832ae7ef4164c7dba954e220a261d64fd6b74223ce0744bb210"
},
"schema_version": "1.0",
"source": {
"id": "2008.05088",
"kind": "arxiv",
"version": 1
}
}