Pith Number

pith:AY2IHJ33

pith:2026:AY2IHJ332PKDS4LZ6PKDTKEOAI

not attested not anchored not stored refs pending

Next-Scale Autoregressive Models for Text-to-Motion Generation

Lingjie Liu, Mingmin Zhao, Shibo Jin, Zhiwei Zheng

A next-scale autoregressive model generates text-to-motion sequences hierarchically from coarse to fine temporal resolutions.

arxiv:2604.03799 v2 · 2026-04-04 · cs.CV

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\usepackage{pith}
\pithnumber{AY2IHJ332PKDS4LZ6PKDTKEOAI}

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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.

Claims

C1strongest claim

MoScale achieves SOTA text-to-motion performance with high training efficiency, scales effectively with model size, and generalizes zero-shot to diverse motion generation and editing tasks.

C2weakest assumption

The assumption that providing global semantics at the coarsest scale and refining progressively establishes a causal hierarchy better suited for long-range motion structure than standard next-token prediction.

C3one line summary

MoScale introduces a hierarchical next-scale autoregressive framework for text-to-motion generation that achieves state-of-the-art performance by refining motions from coarse to fine temporal resolutions.

Receipt and verification

First computed	2026-05-28T01:04:39.421959Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

063483a77bd3d4397179f3d439a88e021ff776c72d78a2108613981b2a3141b7

Aliases

arxiv: 2604.03799 · arxiv_version: 2604.03799v2 · doi: 10.48550/arxiv.2604.03799 · pith_short_12: AY2IHJ332PKD · pith_short_16: AY2IHJ332PKDS4LZ · pith_short_8: AY2IHJ33

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/AY2IHJ332PKDS4LZ6PKDTKEOAI \
  | 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: 063483a77bd3d4397179f3d439a88e021ff776c72d78a2108613981b2a3141b7

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "8fe244ea15d8ca2998b0accca4dd927b6b3e77b532ee63fa5e930516914934be",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-04-04T17:07:37Z",
    "title_canon_sha256": "943c8e3fcaf255eb5f9bac10d7a045869e24636790882c53f6d325af50dc413b"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2604.03799",
    "kind": "arxiv",
    "version": 2
  }
}