HP-Edit: A Human-Preference Post-Training Framework for Image Editing
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Page Freshness
Signal Canvas proof surface
Canonical route: /signal-canvas/hp-edit-a-human-preference-post-training-framework-for-image-editing
- Proof freshness
- fresh
- Proof status
- unverified
- Display score
- 7/10
- Last proof check
- 2026-04-22
- Score updated
- 2026-04-22
- Score fresh until
- 2026-05-22
- References
- 0
- Source count
- 3
- Coverage
- 33%
Page-specific freshness sourced from this paper's evidence receipt and score bundle.
Agent Handoff
HP-Edit: A Human-Preference Post-Training Framework for Image Editing
Canonical ID hp-edit-a-human-preference-post-training-framework-for-image-editing | Route /signal-canvas/hp-edit-a-human-preference-post-training-framework-for-image-editing
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/hp-edit-a-human-preference-post-training-framework-for-image-editingMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "hp-edit-a-human-preference-post-training-framework-for-image-editing",
"query_text": "Summarize HP-Edit: A Human-Preference Post-Training Framework for Image Editing"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "HP-Edit: A Human-Preference Post-Training Framework for Image Editing",
"normalized_query": "2604.19406",
"route": "/signal-canvas/hp-edit-a-human-preference-post-training-framework-for-image-editing",
"paper_ref": "hp-edit-a-human-preference-post-training-framework-for-image-editing",
"topic_slug": null,
"benchmark_ref": null,
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}Evidence Receipt
Route status: buildingClaims: 0
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: HP-Edit: A Human-Preference Post-Training Framework for Image Editing
PDF: https://arxiv.org/pdf/2604.19406v1
Source count: 3
Coverage: 33%
Last proof check: 2026-04-22T02:13:32.273Z
Paper Conversation
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HP-Edit: A Human-Preference Post-Training Framework for Image Editing
Canonical Paper Receipt
Last verification: 2026-04-22T02:13:32.273ZFreshness: fresh
Proof: unverified
Repo: missing
References: 0
Sources: 3
Coverage: 33%
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- - references
- - proof_status
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- - proof verification has not been recorded yet
Preparing verified analysis
Dimensions overall score 7.0
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Related Resources
- How do vision foundation models handle out-of-domain generalization for image editing?(question)
- What are the latest breakthroughs in generative image editing for commercial content creation?(question)
- What are the key innovations in generative image editing that are making it more accessible to non-experts?(question)
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