Pith Number

pith:PKOKYXHA

pith:2024:PKOKYXHAVVXWRLNWMG4UNOMRMP

not attested not anchored not stored refs pending

A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks

G\"unter Klambauer, Johannes Brandstetter, Korbinian P\"oppel, Maximilian Beck, Razvan Pascanu, Sepp Hochreiter, Thomas Adler, Thomas Schmied, Vihang Patil

arxiv:2410.22391 v3 · 2024-10-29 · cs.LG · cs.AI

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\usepackage{pith}
\pithnumber{PKOKYXHAVVXWRLNWMG4UNOMRMP}

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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.

Cited by

1 paper in Pith

pLSTM: parallelizable Linear Source Transition Mark networks

Receipt and verification

First computed	2026-07-05T11:16:04.272164Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

7a9cac5ce0ad6f68adb661b946b99163e82cf18833aebf6a3aaaffb574c66a31

Aliases

arxiv: 2410.22391 · arxiv_version: 2410.22391v3 · doi: 10.48550/arxiv.2410.22391 · pith_short_12: PKOKYXHAVVXW · pith_short_16: PKOKYXHAVVXWRLNW · pith_short_8: PKOKYXHA

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/PKOKYXHAVVXWRLNWMG4UNOMRMP \
  | 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: 7a9cac5ce0ad6f68adb661b946b99163e82cf18833aebf6a3aaaffb574c66a31

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "497c6a1a95099149d4e2fbf4d09f2ea80801a6e3057697576a9b9c14d89761eb",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2024-10-29T17:55:47Z",
    "title_canon_sha256": "f48ca68976865e83a6249566c6238a0376333000524c910e558928b589f3fa28"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2410.22391",
    "kind": "arxiv",
    "version": 3
  }
}