Contexts are Never Long Enough: Structured Reasoning for Scalable Question Answering over Long Document Sets explores A framework that uses structured reasoning and a relational database to enable scalable question answering over extremely long document sets, outperforming current LLMs.. Commercial viability score: 8/10 in Scalable Question Answering.
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Page Freshness
Canonical route: /paper/contexts-are-never-long-enough-structured-reasoning-for-scalable-question-answering-over-long-document-sets
Page-specific freshness sourced from this paper's evidence receipt and score bundle.
Agent Handoff
Canonical ID contexts-are-never-long-enough-structured-reasoning-for-scalable-question-answering-over-long-document-sets | Route /paper/contexts-are-never-long-enough-structured-reasoning-for-scalable-question-answering-over-long-document-sets
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/contexts-are-never-long-enough-structured-reasoning-for-scalable-question-answering-over-long-document-setsMCP example
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/buildability/contexts-are-never-long-enough-structured-reasoning-for-scalable-question-answering-over-long-document-sets
Subject: Contexts are Never Long Enough: Structured Reasoning for Scalable Question Answering over Long Document Sets
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.
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Dimensions overall score 8.0
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Visual citation anchors from the paper document graph.
This equation captures one of the core mathematical components of the system. Each entry of field f, ef = ⟨v, p, r⟩, where v is the normalized field value respecting the unit and
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Receipt path
/buildability/contexts-are-never-long-enough-structured-reasoning-for-scalable-question-answering-over-long-document-sets
Paper ref
contexts-are-never-long-enough-structured-reasoning-for-scalable-question-answering-over-long-document-sets
arXiv id
2604.22294
Generated at
2026-04-27T20:14:19.889Z
Evidence freshness
fresh
Last verification
2026-04-27T20:14:19.889Z
Sources
3
References
0
Coverage
50%
Lineage hash
f040ef89d60200136657a8ea7123c4b56487dab3a1c5350cb9c30bf241476bd9
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 / 3 sources / Verification pending
repo_url
references
This equation captures one of the core mathematical components of the system. Suppose schema has metric_value (decimal, unit=USD, scale=None) and the page says: "Revenue was $1.23 billion in 2023."
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This equation captures one of the core mathematical components of the system. {% if objective == "consolidate" %}Your task is to fill NULL values by broadcasting non-NULL values across these rows
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