Pith Number
pith:NKRJTWSW
pith:2022:NKRJTWSWVDW47G5564BAFUU6ST
not attested
not anchored
not stored
refs pending
Transformer Neural Processes: Uncertainty-Aware Meta Learning Via Sequence Modeling
arxiv:2207.04179 v2 · 2022-07-09 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NKRJTWSWVDW47G5564BAFUU6ST}
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
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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 | 2026-07-05T05:39:52.118362Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6aa299da56a8edcf9bbdf70202d29e94e79d3bc900d51f0c7f5a109368409123
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NKRJTWSWVDW47G5564BAFUU6ST \
| 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: 6aa299da56a8edcf9bbdf70202d29e94e79d3bc900d51f0c7f5a109368409123
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3aeb355381a7c439249dd4bfcf81a309e56b32c71a12aad38a70d386195eeb5c",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2022-07-09T02:28:58Z",
"title_canon_sha256": "5bdb764378b9ff49ae4d607da27fefad26c383408e8265d1e88d93b409e1b7e9"
},
"schema_version": "1.0",
"source": {
"id": "2207.04179",
"kind": "arxiv",
"version": 2
}
}