Pith Number

pith:OGHK4LF5

pith:2026:OGHK4LF5S5YDNR2LIK24ONZEQF

not attested not anchored not stored refs pending

Leveraging Verifier-Based Reinforcement Learning in Image Editing

Hanzhong Guo, Jie Liu, Jie Wu, Linxiao Yuan, Weilin Huang, Xionghui Wang, Yizhou Yu, Yu Gao, Zilyu Ye

A chain-of-thought verifier that decomposes editing instructions into principles delivers better rewards than general vision-language models.

arxiv:2604.27505 v2 · 2026-04-30 · cs.CV

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\usepackage{pith}
\pithnumber{OGHK4LF5S5YDNR2LIK24ONZEQF}

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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

our Edit-RRM surpasses powerful VLMs such as Seed-1.5-VL and Seed-1.6-VL as an editing-specific reward model, and we observe a clear scaling trend, with performance consistently improving from 3B to 7B parameters. Moreover, Edit-R1 delivers gains to editing models like FLUX.1-kontext

C2weakest assumption

That breaking instructions into principles and aggregating CoT checks produces unbiased, generalizable rewards across all editing tasks without introducing new failure modes or requiring task-specific tuning that was not captured in the human preference data.

C3one line summary

Edit-R1 trains a CoT-based reasoning reward model with GCPO and uses it to boost image editing performance over VLMs and models like FLUX.1-kontext via GRPO.

Receipt and verification

First computed	2026-05-21T01:04:26.577653Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

718eae2cbd977036c74b42b5c73724817838315c6900e81060bc23a0325448c2

Aliases

arxiv: 2604.27505 · arxiv_version: 2604.27505v2 · doi: 10.48550/arxiv.2604.27505 · pith_short_12: OGHK4LF5S5YD · pith_short_16: OGHK4LF5S5YDNR2L · pith_short_8: OGHK4LF5

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/OGHK4LF5S5YDNR2LIK24ONZEQF \
  | 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: 718eae2cbd977036c74b42b5c73724817838315c6900e81060bc23a0325448c2

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "c61a98136ad8842d44ef0fa81fadc0b2fba34e65235a32294bf13d181b9c5a43",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-04-30T06:54:39Z",
    "title_canon_sha256": "0b22305dd553af6e1129f96b32d58c87810b78b6f73175455820a852d4036d28"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2604.27505",
    "kind": "arxiv",
    "version": 2
  }
}