Socrates Loss: Unifying Confidence Calibration and Classification by Leveraging the Unknown

Socrates Loss: Unifying Confidence Calibration and Classification by Leveraging the Unknown | Signal Canvas | ScienceToStartup

Page Freshness

Signal Canvas proof surface

Canonical route: /signal-canvas/socrates-loss-unifying-confidence-calibration-and-classification-by-leveraging-the-unknown

stale

Proof freshness: stale
Proof status: partial
Display score: 7/10
Last proof check: 2026-04-15
Score updated: 2026-04-15
Score fresh until: 2026-05-15
References: 0
Source count: 4
Coverage: 67%

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 socrates-loss-unifying-confidence-calibration-and-classification-by-leveraging-the-unknown | Route /signal-canvas/socrates-loss-unifying-confidence-calibration-and-classification-by-leveraging-the-unknown

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/socrates-loss-unifying-confidence-calibration-and-classification-by-leveraging-the-unknown

MCP example

{
  "tool": "search_signal_canvas",
  "arguments": {
    "mode": "paper",
    "paper_ref": "socrates-loss-unifying-confidence-calibration-and-classification-by-leveraging-the-unknown",
    "query_text": "Summarize Socrates Loss: Unifying Confidence Calibration and Classification by Leveraging the Unknown"
  }
}

source_context

{
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  "mode": "paper",
  "query": "Socrates Loss: Unifying Confidence Calibration and Classification by Leveraging the Unknown",
  "normalized_query": "2604.12245",
  "route": "/signal-canvas/socrates-loss-unifying-confidence-calibration-and-classification-by-leveraging-the-unknown",
  "paper_ref": "socrates-loss-unifying-confidence-calibration-and-classification-by-leveraging-the-unknown",
  "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: Socrates Loss: Unifying Confidence Calibration and Classification by Leveraging the Unknown

PDF: https://arxiv.org/pdf/2604.12245v1

Repository: https://github.com/sandruskyi/SocratesLoss

Source count: 4

Coverage: 67%

Last proof check: 2026-04-15T20:33:40.621Z

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Ready for execution: Socrates Loss: Unifying Confidence Calibration and Classification by Leveraging the Unknown

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Subject: Socrates Loss: Unifying Confidence Calibration and Classification by Leveraging the Unknown

Verdict

Socrates Loss: Unifying Confidence Calibration and Classification by Leveraging the Unknown

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