AutoResearchBench: Benchmarking AI Agents on Complex Scientific Literature Discovery explores AutoResearchBench revolutionizes AI-driven scientific literature discovery with a challenging new benchmark.. Commercial viability score: 6/10 in AI Benchmarking.
Use This Via API or MCP
This route is the stable paper-level surface for citations, viability, references, and downstream handoffs. Use it as the proof layer behind Signal Canvas, workspace creation, and launch-pack generation.
Page Freshness
Canonical route: /paper/autoresearchbench-benchmarking-ai-agents-on-complex-scientific-literature-discovery
Page-specific freshness sourced from this paper's evidence receipt and score bundle.
Agent Handoff
Canonical ID autoresearchbench-benchmarking-ai-agents-on-complex-scientific-literature-discovery | Route /paper/autoresearchbench-benchmarking-ai-agents-on-complex-scientific-literature-discovery
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/autoresearchbench-benchmarking-ai-agents-on-complex-scientific-literature-discoveryMCP example
{
"tool": "get_paper",
"arguments": {
"arxiv_id": "2604.25256"
}
}source_context
{
"surface": "paper",
"mode": "paper",
"query": "AutoResearchBench: Benchmarking AI Agents on Complex Scientific Literature Discovery",
"normalized_query": "2604.25256",
"route": "/paper/autoresearchbench-benchmarking-ai-agents-on-complex-scientific-literature-discovery",
"paper_ref": "autoresearchbench-benchmarking-ai-agents-on-complex-scientific-literature-discovery",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Paper proof page receipt window
/buildability/autoresearchbench-benchmarking-ai-agents-on-complex-scientific-literature-discovery
Subject: AutoResearchBench: Benchmarking AI Agents on Complex Scientific Literature Discovery
Verdict
Watch
Verdict is Watch because viability or proof quality is intermediate and should be re-evaluated before execution.
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/autoresearchbench-benchmarking-ai-agents-on-complex-scientific-literature-discovery
Paper ref
autoresearchbench-benchmarking-ai-agents-on-complex-scientific-literature-discovery
arXiv id
2604.25256
Generated at
2026-04-29T02:30:30.575Z
Evidence freshness
fresh
Last verification
2026-04-29T02:30:30.575Z
Sources
4
References
0
Coverage
67%
Lineage hash
3b36168580bbc457d3f84fe58f5db45a370e344b22d6f6df734e85a8e25995f3
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
proof_status
Constellation, claims, and market context stay visible on the paper proof page even when commercialization rails are held back for incomplete proof receipts.
Research neighborhood
Interactive graph renders after load.
Preparing verified analysis
Dimensions overall score 6.0
Visual citation anchors from the paper document graph.
This equation captures one of the core mathematical components of the system. bility of intelligent agents. Here |Y ∗(q)| ∈{0, 1}: the agent must either identify the unique paper
Page and bbox are available; crop image is pending.
This equation captures one of the core mathematical components of the system. st = (q, ht, Dt), where ht is the interaction history and Dt ⊆D is the set of documents observed so
Page and bbox are available; crop image is pending.
This equation captures one of the core mathematical components of the system. Y ∗(q) = {d ∈D : d |= q}. Unlike general web QA or context-provided scientific QA, the decisive
Page and bbox are available; crop image is pending.
No public competitor map is available for this paper yet.
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References are not available from the internal index yet.