Pith Number

pith:II5BD7BS

pith:2024:II5BD7BSYKR2N6JADSSPHCDQWO

not attested not anchored not stored refs pending

Towards Neural Scaling Laws for Time Series Foundation Models

Chao-Han Huck Yang, Ming Jin, Qingren Yao, Renhe Jiang, Shirui Pan, Yuxuan Liang

arxiv:2410.12360 v3 · 2024-10-16 · cs.LG · cs.AI

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\usepackage{pith}
\pithnumber{II5BD7BSYKR2N6JADSSPHCDQWO}

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Record completeness

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2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

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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

3 papers in Pith

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MaskTab: Scalable Masked Tabular Pretraining with Scaling Laws and Distillation for Industrial Classification

Discrete Prototypical Memories for Federated Time Series Foundation Models

Receipt and verification

First computed	2026-07-05T10:33:05.921667Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

423a11fc32c2a3a6f9201ca4f38870b3a93f086e25c6d809dc2b38dc5d3d7d24

Aliases

arxiv: 2410.12360 · arxiv_version: 2410.12360v3 · doi: 10.48550/arxiv.2410.12360 · pith_short_12: II5BD7BSYKR2 · pith_short_16: II5BD7BSYKR2N6JA · pith_short_8: II5BD7BS

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/II5BD7BSYKR2N6JADSSPHCDQWO \
  | 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: 423a11fc32c2a3a6f9201ca4f38870b3a93f086e25c6d809dc2b38dc5d3d7d24

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "f75f7911d19a33f0107ec95c7af522bf607164c2ecc6ad48a116f07543e9d8fd",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2024-10-16T08:23:39Z",
    "title_canon_sha256": "44d7a4c83fc0750b047899a931292cbf76d5782e3439a1441ee1dfed85ab3aba"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2410.12360",
    "kind": "arxiv",
    "version": 3
  }
}