Evidence Receipt. Related Resources.
Design and Evaluation of Multi-Agent AI Oracle Systems for Prediction Market Resolution
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Page Freshness
Signal Canvas proof surface
Canonical route: /signal-canvas/design-and-evaluation-of-multi-agent-ai-oracle-systems-for-prediction-market-resolution
- Proof freshness
- stale
- Proof status
- unverified
- Display score
- 6/10
- Last proof check
- 2026-06-01
- Score updated
- 2026-06-01
- Score fresh until
- 2026-07-01
- References
- 0
- Source count
- 3
- Coverage
- 50%
This page is showing the last landed evidence receipt and score bundle because the latest proof data is outside the freshness window.
Agent Handoff
Design and Evaluation of Multi-Agent AI Oracle Systems for Prediction Market Resolution
Canonical ID design-and-evaluation-of-multi-agent-ai-oracle-systems-for-prediction-market-resolution | Route /signal-canvas/design-and-evaluation-of-multi-agent-ai-oracle-systems-for-prediction-market-resolution
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/design-and-evaluation-of-multi-agent-ai-oracle-systems-for-prediction-market-resolutionMCP example
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}Preparing verified analysis
Dimensions overall score 6.0
GitHub Code Pulse
No public code linked for this paper yet.
Claim map
- Evidencepartial
{"file name": "input.pdf", "number of pages": 34, "author": "Tarun Kota", "title": "Design and Evaluation of Multi-Agent AI Oracle Systems for Prediction Market Resolution", "creation date": null
ImplicationmissingImplication not extracted yet.
Verificationpartialpartial
