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UniEditBench: A Unified and Cost-Effective Benchmark for Image and Video Editing via Distilled MLLMs

Stale1d agoPending verification refs / 4 sources / Verification pending
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Viability
0.0/10

Compared to this week’s papers

Verification pending

Use This Via API or MCP

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Signal Canvas APIPaper Proof PageOpen Build LoopLaunch Pack Example

Page Freshness

Signal Canvas proof surface

Canonical route: /signal-canvas/unieditbench-a-unified-and-cost-effective-benchmark-for-image-and-video-editing-via-distilled-mllms

ready
Proof freshness
fresh
Proof status
unverified
Display score
7/10
Last proof check
2026-04-20
Score updated
2026-04-20
Score fresh until
2026-05-20
References
0
Source count
4
Coverage
67%

Page-specific freshness sourced from this paper's evidence receipt and score bundle.

Agent Handoff

UniEditBench: A Unified and Cost-Effective Benchmark for Image and Video Editing via Distilled MLLMs

Canonical ID unieditbench-a-unified-and-cost-effective-benchmark-for-image-and-video-editing-via-distilled-mllms | Route /signal-canvas/unieditbench-a-unified-and-cost-effective-benchmark-for-image-and-video-editing-via-distilled-mllms

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/unieditbench-a-unified-and-cost-effective-benchmark-for-image-and-video-editing-via-distilled-mllms

MCP example

{
  "tool": "search_signal_canvas",
  "arguments": {
    "mode": "paper",
    "paper_ref": "unieditbench-a-unified-and-cost-effective-benchmark-for-image-and-video-editing-via-distilled-mllms",
    "query_text": "Summarize UniEditBench: A Unified and Cost-Effective Benchmark for Image and Video Editing via Distilled MLLMs"
  }
}

source_context

{
  "surface": "signal_canvas",
  "mode": "paper",
  "query": "UniEditBench: A Unified and Cost-Effective Benchmark for Image and Video Editing via Distilled MLLMs",
  "normalized_query": "2604.15871",
  "route": "/signal-canvas/unieditbench-a-unified-and-cost-effective-benchmark-for-image-and-video-editing-via-distilled-mllms",
  "paper_ref": "unieditbench-a-unified-and-cost-effective-benchmark-for-image-and-video-editing-via-distilled-mllms",
  "topic_slug": null,
  "benchmark_ref": null,
  "dataset_ref": null
}

Evidence Receipt

Route status: building

Claims: 0

References: Pending verification

Proof: Verification pending

Freshness state: computing

Source paper: UniEditBench: A Unified and Cost-Effective Benchmark for Image and Video Editing via Distilled MLLMs

PDF: https://arxiv.org/pdf/2604.15871v1

Repository: https://github.com/wesar1/UniEditBench

Source count: 4

Coverage: 67%

Last proof check: 2026-04-20T20:23:37.329Z

Paper Conversation

Citation-first answers with explicit evidence receipts, disagreement handling, commercialization framing, and next actions.

Paper Mode

UniEditBench: A Unified and Cost-Effective Benchmark for Image and Video Editing via Distilled MLLMs

Overall score: 7/10
Lineage: 4b104a96bc04…
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Search the latest paper corpus with startup-focused AI synthesis.

Canonical Paper Receipt

Last verification: 2026-04-20T20:23:37.329Z

Freshness: fresh

Proof: unverified

Repo: active

References: 0

Sources: 4

Coverage: 67%

Missingness
  • - references
  • - proof_status
Unknowns
  • - proof verification has not been recorded yet

Mode Notes

  • Corpus mode searches the research corpus broadly.
  • Paper mode pins trust state to the canonical paper kernel.
  • Workspace mode blends saved sources, prior evidence queries, and linked papers.

Preparing verified analysis

Dimensions overall score 7.0

GitHub Code Pulse

Stars
2
Health
C
Last commit
4/20/2026
Forks
0
Open repository

Claim map

No public claim map is available for this paper yet.

Author intelligence and commercialization panels stay hidden until the proof receipt is verified, cites at least 3 references, includes at least 2 sources, and clears 50% coverage. The paper narrative and citation surfaces remain public while verification is pending.

Keep exploring

Builds On This
VTEdit-Bench: A Comprehensive Benchmark for Multi-Reference Image Editing Models in Virtual Try-On
Score 4.0down
Builds On This
InEdit-Bench: Benchmarking Intermediate Logical Pathways for Intelligent Image Editing Models
Score 5.0down
Builds On This
DLEBench: Evaluating Small-scale Object Editing Ability for Instruction-based Image Editing Model
Score 5.0down
Prior Work
GEditBench v2: A Human-Aligned Benchmark for General Image Editing
Score 7.0stable
Prior Work
CREval: An Automated Interpretable Evaluation for Creative Image Manipulation under Complex Instructions
Score 7.0stable
Prior Work
HP-Edit: A Human-Preference Post-Training Framework for Image Editing
Score 7.0stable
Higher Viability
VEFX-Bench: A Holistic Benchmark for Generic Video Editing and Visual Effects
Score 9.0up
Higher Viability
EditHF-1M: A Million-Scale Rich Human Preference Feedback for Image Editing
Score 8.0up

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