Pith Number

pith:PST5I4D4

pith:2025:PST5I4D4GWZ3WMI4DFF7Q2JBJL

not attested not anchored not stored refs resolved

LongCat-Image Technical Report

Haoxian Tan, Jiale Huang, Jie Hu, Junqiang Wu, Jun-Yan He, Lishuai Gao, Meituan LongCat Team: Hanghang Ma, Songlin Xiao, Xiaoming Wei, Xiaoqi Ma, Xunliang Cai, Yayong Guan

LongCat-Image achieves state-of-the-art Chinese text rendering in images using a compact 6B-parameter diffusion model.

arxiv:2512.07584 v1 · 2025-12-08 · cs.CV

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\usepackage{pith}
\pithnumber{PST5I4D4GWZ3WMI4DFF7Q2JBJL}

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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

With a core diffusion model of only 6B parameters, LongCat-Image sets a new industry standard for Chinese character rendering, outperforming both major open-source and commercial solutions in coverage and accuracy while delivering superior text-rendering capabilities and remarkable photorealism.

C2weakest assumption

The assumption that the curated data and reward models used in RL produce generalizable gains rather than benchmark-specific improvements, with no external independent verification of the SOTA claims provided in the abstract.

C3one line summary

LongCat-Image delivers a compact 6B-parameter bilingual image generation model that sets new standards for Chinese character rendering accuracy and photorealism while remaining efficient and fully open-source.

References

32 extracted · 32 resolved · 28 Pith anchors

[1] Qwen-Image Technical Report · arXiv:2508.02324

[2] Seedream 2.0: A Native Chinese-English Bilingual Image Generation Foundation Model · arXiv:2503.07703

[3] Seedream 3.0 Technical Report · arXiv:2504.11346

[4] Seedream 4.0: Toward Next-generation Multimodal Image Generation · arXiv:2509.20427

[5] Image editing with diffusion models: A survey.arXiv preprint arXiv:2504.13226, 2025a

Formal links

2 machine-checked theorem links

Cited by

32 papers in Pith

Gen-Searcher: Reinforcing Agentic Search for Image Generation

GenEvolve: Self-Evolving Image Generation Agents via Tool-Orchestrated Visual Experience Distillation

Lens: Rethinking Training Efficiency for Foundational Text-to-Image Models

GenEvolve: Self-Evolving Image Generation Agents via Tool-Orchestrated Visual Experience Distillation

ETS: Energy-Guided Test-Time Scaling for Training-Free RL Alignment

Receipt and verification

First computed	2026-05-17T23:38:48.571583Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

7ca7d4707c35b3bb311c194bf869214ac510d55e742a7aa7acc0b9a76bf5c05d

Aliases

arxiv: 2512.07584 · arxiv_version: 2512.07584v1 · doi: 10.48550/arxiv.2512.07584 · pith_short_12: PST5I4D4GWZ3 · pith_short_16: PST5I4D4GWZ3WMI4 · pith_short_8: PST5I4D4

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/PST5I4D4GWZ3WMI4DFF7Q2JBJL \
  | 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: 7ca7d4707c35b3bb311c194bf869214ac510d55e742a7aa7acc0b9a76bf5c05d

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "9f227b0bccbebc8744b99cf4eb999281b276d24bbd380e88435359ab9f120f37",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2025-12-08T14:26:40Z",
    "title_canon_sha256": "6850a6385b82853bb522cf7464bd9f5be137f809e1f5a12dccdbef1f499b1388"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2512.07584",
    "kind": "arxiv",
    "version": 1
  }
}