Pith Number
pith:SMQM77DT
pith:2020:SMQM77DTLPKTORER36UOIMV7QA
not attested
not anchored
not stored
refs pending
Attend and Decode: 4D fMRI Task State Decoding Using Attention Models
arxiv:2004.05234 v2 · 2020-04-10 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{SMQM77DTLPKTORER36UOIMV7QA}
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 | 2026-07-05T02:07:46.097051Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9320cffc735bd5374491dfa8e432bf80169b625697e743c4c3f0394fdb5f1407
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/SMQM77DTLPKTORER36UOIMV7QA \
| 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: 9320cffc735bd5374491dfa8e432bf80169b625697e743c4c3f0394fdb5f1407
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f4dad849f5feccbfdf2564e8833e8c61f8f36881aec866809df326b0d9559f00",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2020-04-10T21:29:34Z",
"title_canon_sha256": "7f5caf922da32e6974da9e8344e219f3b3001439c6084db388df93256150eb41"
},
"schema_version": "1.0",
"source": {
"id": "2004.05234",
"kind": "arxiv",
"version": 2
}
}