Evidence Receipt. Related Resources.
Addressing Climate Action Misperceptions with Generative AI
Compared to this week’s papers
Verification pending
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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
Signal Canvas proof surface
Canonical route: /signal-canvas/addressing-climate-action-misperceptions-with-generative-ai
- Proof freshness
- stale
- Proof status
- unverified
- Display score
- 5/10
- Last proof check
- 2026-04-02
- Score updated
- 2026-04-02
- Score fresh until
- 2026-05-02
- References
- 0
- Source count
- 0
- Coverage
- 17%
This page is showing the last landed evidence receipt and score bundle because the latest proof data is outside the freshness window.
Agent Handoff
Addressing Climate Action Misperceptions with Generative AI
Canonical ID addressing-climate-action-misperceptions-with-generative-ai | Route /signal-canvas/addressing-climate-action-misperceptions-with-generative-ai
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/addressing-climate-action-misperceptions-with-generative-aiMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "addressing-climate-action-misperceptions-with-generative-ai",
"query_text": "Summarize Addressing Climate Action Misperceptions with Generative AI"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "Addressing Climate Action Misperceptions with Generative AI",
"normalized_query": "2602.22564",
"route": "/signal-canvas/addressing-climate-action-misperceptions-with-generative-ai",
"paper_ref": "addressing-climate-action-misperceptions-with-generative-ai",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Preparing verified analysis
Dimensions overall score 5.0
GitHub Code Pulse
No public code linked for this paper yet.
CLAIM MAP
No public claim map is available for this paper yet.
Startup potential card
Related Resources
Related resources will appear here when this paper maps cleanly to topic, benchmark, or dataset surfaces.
