Pith Number
pith:LXCWA2CS
pith:2018:LXCWA2CSC4J4TXKEHQ4BDONXOJ
not attested
not anchored
not stored
refs pending
AGIL: Learning Attention from Human for Visuomotor Tasks
arxiv:1806.03960 v1 · 2018-06-01 · cs.CV · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LXCWA2CSC4J4TXKEHQ4BDONXOJ}
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 | 2026-05-18T00:13:41.420630Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5dc56068521713c9dd443c3811b9b77246fbae94f54c3b67d4db9ab3ecc910a7
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LXCWA2CSC4J4TXKEHQ4BDONXOJ \
| 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: 5dc56068521713c9dd443c3811b9b77246fbae94f54c3b67d4db9ab3ecc910a7
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5bcf0e765cd53fa2cf6132d19e3335b5ef89709e8799240c8e328ad965299ed9",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-06-01T18:36:36Z",
"title_canon_sha256": "307d0580408da16d81cef7fb71024b02526333036c7adc7dcaedc066470341ce"
},
"schema_version": "1.0",
"source": {
"id": "1806.03960",
"kind": "arxiv",
"version": 1
}
}