{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:Q4LWSQN5M3VRT2FOZME4JDSEXF","short_pith_number":"pith:Q4LWSQN5","schema_version":"1.0","canonical_sha256":"87176941bd66eb19e8aecb09c48e44b97b5f5b02db8cf44cbe07de5d6323cb48","source":{"kind":"arxiv","id":"1907.04516","version":1},"attestation_state":"computed","paper":{"title":"Error reduction in biosensors using secondary labeling","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.bio-ph"],"primary_cat":"physics.med-ph","authors_text":"Manoj M Varma, Tuhin Chakrabortty","submitted_at":"2019-07-10T05:36:17Z","abstract_excerpt":"In this article, we derive the limit of detection for a two-step molecular recognition process and show that in-spite of all the recognition reactions being in equilibrium the overall error rates can be reduced exactly as much as possible in non-equilibrium methods such as kinetic proofreading."},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1907.04516","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.med-ph","submitted_at":"2019-07-10T05:36:17Z","cross_cats_sorted":["physics.bio-ph"],"title_canon_sha256":"03747a51835b7681bc8455e91863a94fd5ffe8ed20531b43b22a3f4f09c3b099","abstract_canon_sha256":"b07dbfa671f0dafa40a5d852343a4d6a19e746eace094f68a4f0ac14a399da87"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:40:59.997525Z","signature_b64":"/0I9esuRTG8pGMXlmUzu10oIrriyvafN+maWl0ph609E8vkgGSaQnLOkHH+74QYvPXfIZ2+oO0y5Q/RbjzFWDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"87176941bd66eb19e8aecb09c48e44b97b5f5b02db8cf44cbe07de5d6323cb48","last_reissued_at":"2026-05-17T23:40:59.996992Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:40:59.996992Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Error reduction in biosensors using secondary labeling","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.bio-ph"],"primary_cat":"physics.med-ph","authors_text":"Manoj M Varma, Tuhin Chakrabortty","submitted_at":"2019-07-10T05:36:17Z","abstract_excerpt":"In this article, we derive the limit of detection for a two-step molecular recognition process and show that in-spite of all the recognition reactions being in equilibrium the overall error rates can be reduced exactly as much as possible in non-equilibrium methods such as kinetic proofreading."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1907.04516","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"1907.04516","created_at":"2026-05-17T23:40:59.997073+00:00"},{"alias_kind":"arxiv_version","alias_value":"1907.04516v1","created_at":"2026-05-17T23:40:59.997073+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1907.04516","created_at":"2026-05-17T23:40:59.997073+00:00"},{"alias_kind":"pith_short_12","alias_value":"Q4LWSQN5M3VR","created_at":"2026-05-18T12:33:24.271573+00:00"},{"alias_kind":"pith_short_16","alias_value":"Q4LWSQN5M3VRT2FO","created_at":"2026-05-18T12:33:24.271573+00:00"},{"alias_kind":"pith_short_8","alias_value":"Q4LWSQN5","created_at":"2026-05-18T12:33:24.271573+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/Q4LWSQN5M3VRT2FOZME4JDSEXF","json":"https://pith.science/pith/Q4LWSQN5M3VRT2FOZME4JDSEXF.json","graph_json":"https://pith.science/api/pith-number/Q4LWSQN5M3VRT2FOZME4JDSEXF/graph.json","events_json":"https://pith.science/api/pith-number/Q4LWSQN5M3VRT2FOZME4JDSEXF/events.json","paper":"https://pith.science/paper/Q4LWSQN5"},"agent_actions":{"view_html":"https://pith.science/pith/Q4LWSQN5M3VRT2FOZME4JDSEXF","download_json":"https://pith.science/pith/Q4LWSQN5M3VRT2FOZME4JDSEXF.json","view_paper":"https://pith.science/paper/Q4LWSQN5","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1907.04516&json=true","fetch_graph":"https://pith.science/api/pith-number/Q4LWSQN5M3VRT2FOZME4JDSEXF/graph.json","fetch_events":"https://pith.science/api/pith-number/Q4LWSQN5M3VRT2FOZME4JDSEXF/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/Q4LWSQN5M3VRT2FOZME4JDSEXF/action/timestamp_anchor","attest_storage":"https://pith.science/pith/Q4LWSQN5M3VRT2FOZME4JDSEXF/action/storage_attestation","attest_author":"https://pith.science/pith/Q4LWSQN5M3VRT2FOZME4JDSEXF/action/author_attestation","sign_citation":"https://pith.science/pith/Q4LWSQN5M3VRT2FOZME4JDSEXF/action/citation_signature","submit_replication":"https://pith.science/pith/Q4LWSQN5M3VRT2FOZME4JDSEXF/action/replication_record"}},"created_at":"2026-05-17T23:40:59.997073+00:00","updated_at":"2026-05-17T23:40:59.997073+00:00"}