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Pith Number

pith:655HUOMX

pith:2023:655HUOMXKHCVQVJFVNEQHTDWXL
not attested not anchored not stored refs pending

In-Context Learning for Attention Scheme: from Single Softmax Regression to Multiple Softmax Regression via a Tensor Trick

Shenghao Xie, Yeqi Gao, Zhao Song

arxiv:2307.02419 v1 · 2023-07-05 · cs.LG

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\usepackage{pith}
\pithnumber{655HUOMXKHCVQVJFVNEQHTDWXL}

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Record completeness

1 Bitcoin timestamp
2 Internet Archive
3 Author claim open · sign in to claim
4 Citations open
5 Replications open
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.

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1 paper in Pith

Receipt and verification
First computed 2026-07-05T06:28:08.918631Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

f77a7a399751c5585525ab4903cc76baf4066d7b30300005d00ff1118f7b4b03

Aliases

arxiv: 2307.02419 · arxiv_version: 2307.02419v1 · doi: 10.48550/arxiv.2307.02419 · pith_short_12: 655HUOMXKHCV · pith_short_16: 655HUOMXKHCVQVJF · pith_short_8: 655HUOMX
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/655HUOMXKHCVQVJFVNEQHTDWXL \
  | 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: f77a7a399751c5585525ab4903cc76baf4066d7b30300005d00ff1118f7b4b03
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "9bc77391ca8c04d768f4f377884aa0b11e3545f5b597de18a37729c94372445a",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2023-07-05T16:41:01Z",
    "title_canon_sha256": "d9f21550d81285b74e66a0dff1b40acc513b566c5d85993166b2b28e51b7f46c"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2307.02419",
    "kind": "arxiv",
    "version": 1
  }
}