Pith Number
pith:T5TJ2XYF
pith:2024:T5TJ2XYF5IVLVSNXMXASHO5WT7
not attested
not anchored
not stored
refs pending
LaT-PFN: A Joint Embedding Predictive Architecture for In-context Time-series Forecasting
arxiv:2405.10093 v2 · 2024-05-16 · cs.LG · cs.AI · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{T5TJ2XYF5IVLVSNXMXASHO5WT7}
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 | 2026-07-05T08:21:55.013622Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9f669d5f05ea2abac9b765c123bbb69fc17de4cd9e265ce451a1017b69dae21f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/T5TJ2XYF5IVLVSNXMXASHO5WT7 \
| 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: 9f669d5f05ea2abac9b765c123bbb69fc17de4cd9e265ce451a1017b69dae21f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "74887df9d32bcfef13367d67109038fec43e4eff2dba5f75108a2d3a28075245",
"cross_cats_sorted": [
"cs.AI",
"stat.ML"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-05-16T13:44:56Z",
"title_canon_sha256": "6e55b8c8d00f7df1eed74584004e3c4905d03d71f59726acdce7fc15ed4cd2f8"
},
"schema_version": "1.0",
"source": {
"id": "2405.10093",
"kind": "arxiv",
"version": 2
}
}