Evidence Receipt. Related Resources.
Evidence Receipt. Related Resources.
Compared to this week’s papers
Verification pending
Use This Via API or MCP
Signal Canvas is the citation-first public layer for turning one paper into a structured commercialization narrative. Use it to hand off into REST, MCP, Build Loop, and launch-pack execution without losing source lineage.
Use This Via API or MCP
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/p-textsuperscript-2-dpo-grounding-hallucination-in-perceptual-processing-via-calibration-direct-preference-optimization
Page-specific freshness sourced from this paper's evidence receipt and score bundle.
Agent Handoff
Canonical ID p-textsuperscript-2-dpo-grounding-hallucination-in-perceptual-processing-via-calibration-direct-preference-optimization | Route /signal-canvas/p-textsuperscript-2-dpo-grounding-hallucination-in-perceptual-processing-via-calibration-direct-preference-optimization
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/p-textsuperscript-2-dpo-grounding-hallucination-in-perceptual-processing-via-calibration-direct-preference-optimizationMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "p-textsuperscript-2-dpo-grounding-hallucination-in-perceptual-processing-via-calibration-direct-preference-optimization",
"query_text": "Summarize P\\textsuperscript{2}-DPO: Grounding Hallucination in Perceptual Processing via Calibration Direct Preference Optimization"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "P\\textsuperscript{2}-DPO: Grounding Hallucination in Perceptual Processing via Calibration Direct Preference Optimization",
"normalized_query": "2606.03376",
"route": "/signal-canvas/p-textsuperscript-2-dpo-grounding-hallucination-in-perceptual-processing-via-calibration-direct-preference-optimization",
"paper_ref": "p-textsuperscript-2-dpo-grounding-hallucination-in-perceptual-processing-via-calibration-direct-preference-optimization",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Claims: 1
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: P\textsuperscript{2}-DPO: Grounding Hallucination in Perceptual Processing via Calibration Direct Preference Optimization
PDF: https://arxiv.org/pdf/2606.03376v1
Repository: https://github.com/goodfeli/dlbook_notation
Source count: 4
Coverage: 67%
Last proof check: 2026-06-03T20:32:59.376Z
Signal Canvas receipt window
/buildability/p-textsuperscript-2-dpo-grounding-hallucination-in-perceptual-processing-via-calibration-direct-preference-optimization
Subject: P\textsuperscript{2}-DPO: Grounding Hallucination in Perceptual Processing via Calibration Direct Preference Optimization
Preparing verified analysis
Dimensions overall score 8.0
{"file name": "input.pdf", "number of pages": 28, "author": "Ruipeng Zhang; Zhihao Li; Haozhang Yuan; C. L. Philip Chen; Tong Zhang"
Implication not extracted yet.
partial
Use an AI coding agent to implement this research.
Lightweight coding agent in your terminal.
Agentic coding tool for terminal workflows.
AI agent mindset installer and workflow scaffolder.
AI-first code editor built on VS Code.
Free, open-source editor by Microsoft.
Estimated $10K - $14K over 6-10 weeks.
See exactly what it costs to build this -- with 3 comparable funded startups.
7-day free trial. Cancel anytime.
Discover the researchers behind this paper and find similar experts.
7-day free trial. Cancel anytime.
Verdict
Build Now
Verdict is Build Now because viability and implementation proof cleared the Wave 1 scaffold thresholds.
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/p-textsuperscript-2-dpo-grounding-hallucination-in-perceptual-processing-via-calibration-direct-preference-optimization
Paper ref
p-textsuperscript-2-dpo-grounding-hallucination-in-perceptual-processing-via-calibration-direct-preference-optimization
arXiv id
2606.03376
Generated at
2026-06-03T20:32:59.376Z
Evidence freshness
fresh
Last verification
2026-06-03T20:32:59.376Z
Sources
4
References
0
Coverage
67%
Lineage hash
ebe5315f8a47046e525dd7007ac0dfa972f193ae4d2c485ad9179c39fc08a292
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.
Pending verification refs / 4 sources / Verification pending
references
paper_extraction_scorecards