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This subset (a subpopulation) produces an output signal that is inherently noisy. Given that th"},"claims":{"count":4,"items":[{"kind":"strongest_claim","text":"the subpopulation shot noise spectrum is not a simple scaled version of the full population's noise; instead it arises from a non-trivial mixture of two distinct spectral components, and an analytical expression for its power spectral density is derived that shows excellent agreement with simulations.","source":"verdict.strongest_claim","status":"machine_extracted","claim_id":"C1","attestation":"unclaimed"},{"kind":"weakest_assumption","text":"The generalization of the nesting method and the previously developed reduction technique for non-Lorentzian distributions of local neuron parameters are valid and sufficient to capture the subpopulation dynamics and noise spectrum.","source":"verdict.weakest_assumption","status":"machine_extracted","claim_id":"C2","attestation":"unclaimed"},{"kind":"one_line_summary","text":"Derives analytical PSD for subpopulation shot noise showing non-trivial dependence on subpopulation size as a mixture of two spectral components, with good match to simulations.","source":"verdict.one_line_summary","status":"machine_extracted","claim_id":"C3","attestation":"unclaimed"},{"kind":"headline","text":"Subpopulation shot noise in neural networks arises from a mixture of two distinct spectral components rather than simple scaling.","source":"verdict.pith_extraction.headline","status":"machine_extracted","claim_id":"C4","attestation":"unclaimed"}],"snapshot_sha256":"b9ad70ae0d686bf9ffbd34e3de0991931851415b1133de098584e9c3b2b36c49"},"source":{"id":"2605.16982","kind":"arxiv","version":1},"verdict":{"id":"ba10af50-5be9-4363-9d82-928fa4c9daed","model_set":{"reader":"grok-4.3"},"created_at":"2026-05-19T18:49:26.176630Z","strongest_claim":"the subpopulation shot noise spectrum is not a simple scaled version of the full population's noise; 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