Pith Number
pith:FTUTNMP5
pith:2022:FTUTNMP5HWNNNY3JSZOK6BEQC7
not attested
not anchored
not stored
refs pending
Uni-Perceiver-MoE: Learning Sparse Generalist Models with Conditional MoEs
arxiv:2206.04674 v2 · 2022-06-09 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FTUTNMP5HWNNNY3JSZOK6BEQC7}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T04:37:39.865409Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2ce936b1fd3d9ad6e369965caf049017f4a6ba4a6cc46895809b0414ae83ad63
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FTUTNMP5HWNNNY3JSZOK6BEQC7 \
| 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: 2ce936b1fd3d9ad6e369965caf049017f4a6ba4a6cc46895809b0414ae83ad63
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0f54df2b9fec61a2f6802d51a852665eae034a5280f8b6ffa10981109d08702a",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2022-06-09T17:59:59Z",
"title_canon_sha256": "640675ddf6baba284b02ff99c8d3b9bd2c0fc2940d48204b3a097807d6ee1020"
},
"schema_version": "1.0",
"source": {
"id": "2206.04674",
"kind": "arxiv",
"version": 2
}
}