Pith Number

pith:OMZRZRQA

pith:2026:OMZRZRQAXJWPO3XTE6QET63URH

not attested not anchored not stored refs pending

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models

Dengyang Jiang, Dongyang Liu, Harry Yang, Mingzhe Zheng, Peng Gao, Qilong Wu, Ruoyi Du, Steven Hoi, Xiangpeng Yang, Xin Jin, Zanyi Wang, Zhen Li

Step-distilled diffusion models can learn new concepts through on-policy self-distillation without losing their few-step speed.

arxiv:2605.05204 v2 · 2026-05-06 · cs.CV

Open paper page JSON Open Graph Bundle Merged state Verified badge What is a Pith Number?

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{OMZRZRQAXJWPO3XTE6QET63URH}

Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge

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

By optimized on the model's own trajectory and under it's own supervision, D-OPSD enables the model to learn new concept, style, etc. without sacrificing the original few-step capacity.

C2weakest assumption

The modern diffusion model where the LLM/VLM serves as the encoder can inherit its encoder's in-context capabilities. This is stated as the key finding that enables treating training as an on-policy self-distillation process.

C3one line summary

D-OPSD enables continuous supervised fine-tuning of few-step diffusion models via on-policy self-distillation where the model acts as both teacher (multimodal context) and student (text-only context) on its own roll-outs.

Cited by

2 papers in Pith

A Brief Overview: On-Policy Self-Distillation In Large Language Models

Receipt and verification

First computed	2026-05-20T00:04:34.372866Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

73331cc600ba6cf76ef327a049fb7489ef586457619f73b28b1b16b7efe1a70d

Aliases

arxiv: 2605.05204 · arxiv_version: 2605.05204v2 · doi: 10.48550/arxiv.2605.05204 · pith_short_12: OMZRZRQAXJWP · pith_short_16: OMZRZRQAXJWPO3XT · pith_short_8: OMZRZRQA

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/OMZRZRQAXJWPO3XTE6QET63URH \
  | 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: 73331cc600ba6cf76ef327a049fb7489ef586457619f73b28b1b16b7efe1a70d

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "7aff7bbedc1e8517050125d9d897db7c966ef91866f92ef413ee7747ee0fd44b",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-05-06T17:59:34Z",
    "title_canon_sha256": "228087488510f3779d05703507fcbca4d9c3923489b87ae946c343d8183b7cd9"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.05204",
    "kind": "arxiv",
    "version": 2
  }
}