This equation defines the score or evaluation function that determines model quality.
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Below-Chance Blindness: Prompted Underperformance in Small LLMs Produces Positional Bias Rather than Answer Avoidance explores This research investigates positional bias in small LLMs as a failure mode for detecting deliberate underperformance, suggesting positional distribution shifts as a more effective signature.. Commercial viability score: 3/10 in LLM Behavior Analysis.
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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/below-chance-blindness-prompted-underperformance-in-small-llms-produces-positional-bias-rather-than-answer-avoidance
Page-specific freshness sourced from this paper's evidence receipt and score bundle.
Agent Handoff
Canonical ID below-chance-blindness-prompted-underperformance-in-small-llms-produces-positional-bias-rather-than-answer-avoidance | Route /paper/below-chance-blindness-prompted-underperformance-in-small-llms-produces-positional-bias-rather-than-answer-avoidance
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/below-chance-blindness-prompted-underperformance-in-small-llms-produces-positional-bias-rather-than-answer-avoidanceMCP example
{
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"arguments": {
"arxiv_id": "2604.25249"
}
}source_context
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"mode": "paper",
"query": "Below-Chance Blindness: Prompted Underperformance in Small LLMs Produces Positional Bias Rather than Answer Avoidance",
"normalized_query": "2604.25249",
"route": "/paper/below-chance-blindness-prompted-underperformance-in-small-llms-produces-positional-bias-rather-than-answer-avoidance",
"paper_ref": "below-chance-blindness-prompted-underperformance-in-small-llms-produces-positional-bias-rather-than-answer-avoidance",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Paper proof page receipt window
/buildability/below-chance-blindness-prompted-underperformance-in-small-llms-produces-positional-bias-rather-than-answer-avoidance
Subject: Below-Chance Blindness: Prompted Underperformance in Small LLMs Produces Positional Bias Rather than Answer Avoidance
Verdict
Ignore
Verdict is Ignore because current viability and proof state do not clear the buildability gate.
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/below-chance-blindness-prompted-underperformance-in-small-llms-produces-positional-bias-rather-than-answer-avoidance
Paper ref
below-chance-blindness-prompted-underperformance-in-small-llms-produces-positional-bias-rather-than-answer-avoidance
arXiv id
2604.25249
Generated at
2026-04-29T02:31:49.123Z
Evidence freshness
fresh
Last verification
2026-04-29T02:31:49.123Z
Sources
4
References
0
Coverage
67%
Lineage hash
ba89714a03687ac5e75c4523a718d8f645bd48abed9947cf060e4e5516f56ebc
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 3.0
No public claim map is available for this paper yet.
Visual citation anchors from the paper document graph.
This equation defines the score or evaluation function that determines model quality.
Page and bbox are available; crop image is pending.
This equation captures one of the core mathematical components of the system. binomial test against p = 0.10, with α = 0.01, Bonferroni-corrected across 12 cells (effective α =
Page and bbox are available; crop image is pending.
This equation defines the score or evaluation function that determines model quality.
Page and bbox are available; crop image is pending.
No public competitor map is available for this paper yet.
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