Evidence Receipt. Related Resources.
Evidence Receipt. Related Resources.
Compared to this week’s papers
Verified
Use This Via API or MCP
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Route this paper proof surface into REST, MCP, or developer workflows while preserving the same evidence receipt and related-resource context.
Page Freshness
Canonical route: /signal-canvas/hp-edit-a-human-preference-post-training-framework-for-image-editing
This page is showing the last landed evidence receipt and score bundle because the latest proof data is outside the freshness window.
Agent Handoff
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,
"dataset_ref": null
}Claims: 1
References: 244
Proof: Verified
Freshness state: stale
Source paper: HP-Edit: A Human-Preference Post-Training Framework for Image Editing
PDF: https://arxiv.org/pdf/2604.19406v1
Source count: 4
Coverage: 83%
Last proof check: 2026-04-22T20:32:44.310Z
Signal Canvas receipt window
/buildability/hp-edit-a-human-preference-post-training-framework-for-image-editing
Subject: HP-Edit: A Human-Preference Post-Training Framework for Image Editing
Verdict
Build Now
Verdict is Build Now because viability and implementation proof cleared the Wave 1 scaffold thresholds.
Dimensions overall score 8.0
No public code linked for this paper yet.
{"file name": "input.pdf", "number of pages": 26, "author": "Fan Li; Chonghuinan Wang; Lina Lei; Yuping Qiu; Jiaqi Xu; Jiaxiu Jiang; Xinran Qin; Zhikai Chen; Fenglong Song; Zhixin Wang; Renjing Pei; Wangmeng Zuo"
Implication not extracted yet.
partial
No named competitor graph is public yet; the page still exposes the segment, adoption evidence, and score state so the commercial read is not blank.
Segment
Research market
Adoption evidence
No public code link in the paper record yet
Commercial read
score refresh pending
Direct
Adjacent
Substitute
Unknown
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6mo ROI
0.5-1x
3yr ROI
6-15x
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Fan Li
Huawei Noah’s Ark Lab
Chonghuinan Wang
Huawei Noah’s Ark Lab
Lina Lei
Huawei Noah’s Ark Lab
Yuping Qiu
Huawei Noah’s Ark Lab
Find Similar Experts
Image experts on LinkedIn & GitHub
Time to first demo
Insufficient data
No first-demo timestamp, owner estimate, or elapsed demo receipt is attached to this surface.
Structured compute envelope
Insufficient data
No data, compute, hardware, memory, latency, dependency, or serving requirement receipt is attached.
Receipt path
/buildability/hp-edit-a-human-preference-post-training-framework-for-image-editing
Paper ref
hp-edit-a-human-preference-post-training-framework-for-image-editing
arXiv id
2604.19406
Generated at
2026-04-22T20:32:44.310Z
Evidence freshness
stale
Last verification
2026-04-22T20:32:44.310Z
Sources
4
References
244
Coverage
83%
Lineage hash
31c6ed6b1097c2225fa9cb53ec8e49935e5f5949048c9f53033f78cffda4d01c
Canonical opportunity-kernel lineage hash.
External signature
unsigned_external
No founder, registry, pilot, or production-adoption signature is attached to this receipt.
Verification
not_verified
Verification is blocked until an external signature is provided.
244 refs / 4 sources / Verified
repo_url