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  3. GeoAgentBench: A Dynamic Execution Benchmark for Tool-Augmen
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GeoAgentBench: A Dynamic Execution Benchmark for Tool-Augmented Agents in Spatial Analysis

Stale5d agoPending verification refs / 3 sources / Verification pending
Export BriefOpen in Build LoopConnect with Author
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Viability
0.0/10

Compared to this week’s papers

Verification pending

Use This Via API or MCP

Use Signal Canvas as the narrative proof surface

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.

Signal Canvas APIPaper Proof PageOpen Build LoopLaunch Pack Example

Freshness

Signal Canvas proof surface

Canonical route: /signal-canvas/geoagentbench-a-dynamic-execution-benchmark-for-tool-augmented-agents-in-spatial-analysis

building
Observed
2026-04-16
Fresh until
2026-04-30
Coverage
50%
Source count
3
Stale after
2026-04-30

Verification is still converging across references, source coverage, and proof checks.

Proof Quality

One canonical proof ledger now drives the badge, counts, indexing, and commercialization gating.

Verification pending
Last verified
2026-04-16
References
0
Sources
3
Coverage
50%

Commercialization rails stay hidden until proof clears: proof_status, references_count.

Search indexing stays off until proof clears: proof_status, references_count.

Agent Handoff

GeoAgentBench: A Dynamic Execution Benchmark for Tool-Augmented Agents in Spatial Analysis

Canonical ID geoagentbench-a-dynamic-execution-benchmark-for-tool-augmented-agents-in-spatial-analysis | Route /signal-canvas/geoagentbench-a-dynamic-execution-benchmark-for-tool-augmented-agents-in-spatial-analysis

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/geoagentbench-a-dynamic-execution-benchmark-for-tool-augmented-agents-in-spatial-analysis

MCP example

{
  "tool": "search_signal_canvas",
  "arguments": {
    "mode": "paper",
    "paper_ref": "geoagentbench-a-dynamic-execution-benchmark-for-tool-augmented-agents-in-spatial-analysis",
    "query_text": "Summarize GeoAgentBench: A Dynamic Execution Benchmark for Tool-Augmented Agents in Spatial Analysis"
  }
}

source_context

{
  "surface": "signal_canvas",
  "mode": "paper",
  "query": "GeoAgentBench: A Dynamic Execution Benchmark for Tool-Augmented Agents in Spatial Analysis",
  "normalized_query": "2604.13888",
  "route": "/signal-canvas/geoagentbench-a-dynamic-execution-benchmark-for-tool-augmented-agents-in-spatial-analysis",
  "paper_ref": "geoagentbench-a-dynamic-execution-benchmark-for-tool-augmented-agents-in-spatial-analysis",
  "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: GeoAgentBench: A Dynamic Execution Benchmark for Tool-Augmented Agents in Spatial Analysis

PDF: https://arxiv.org/pdf/2604.13888v1

Source count: 3

Coverage: 50%

Last proof check: 2026-04-16T18:19:12.778Z

Paper Conversation

Citation-first answers with explicit evidence receipts, disagreement handling, commercialization framing, and next actions.

Paper Mode

GeoAgentBench: A Dynamic Execution Benchmark for Tool-Augmented Agents in Spatial Analysis

Overall score: 7/10
Lineage: 745469a0c3bd…
Cmd/Ctrl+K
Search the latest paper corpus with startup-focused AI synthesis.

Canonical Paper Receipt

Last verification: 2026-04-16T18:19:12.778Z

Freshness: fresh

Proof: unverified

Repo: missing

References: 0

Sources: 3

Coverage: 50%

Missingness
  • - repo_url
  • - references
  • - proof_status
Unknowns
  • - proof verification has not been recorded yet

Mode Notes

  • Corpus mode searches the research corpus broadly.
  • Paper mode pins trust state to the canonical paper kernel.
  • Workspace mode blends saved sources, prior evidence queries, and linked papers.

Preparing verified analysis

Dimensions overall score 7.0

GitHub Code Pulse

No public code linked for this paper yet.

Claim map

No public claim map is available for this paper yet.

Author intelligence and commercialization panels stay hidden until the proof receipt is verified, cites at least 3 references, includes at least 2 sources, and clears 50% coverage. The paper narrative and citation surfaces remain public while verification is pending.

Keep exploring

Builds On This
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Score 6.0down
Prior Work
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Prior Work
SAGE: A Service Agent Graph-guided Evaluation Benchmark
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Prior Work
Meanings and Measurements: Multi-Agent Probabilistic Grounding for Vision-Language Navigation
Score 7.0stable
Higher Viability
ClawsBench: Evaluating Capability and Safety of LLM Productivity Agents in Simulated Workspaces
Score 8.0up
Competing Approach
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Competing Approach
MobilityBench: A Benchmark for Evaluating Route-Planning Agents in Real-World Mobility Scenarios
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Competing Approach
RPA-Check: A Multi-Stage Automated Framework for Evaluating Dynamic LLM-based Role-Playing Agents
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