{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2014:ANSOZP3OKM6AFK7MU3D466TDTD","short_pith_number":"pith:ANSOZP3O","schema_version":"1.0","canonical_sha256":"0364ecbf6e533c02abeca6c7cf7a6398c011f9725dba9bb179ae002dc6250175","source":{"kind":"arxiv","id":"1410.2590","version":1},"attestation_state":"computed","paper":{"title":"Multi-input distributed classifiers for synthetic genetic circuits","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"q-bio.MN","authors_text":"Ahmed Alsaedi, Alexey Zaikin, Lev Tsimring, Mikhail Ivanchenko, Oleg Kanakov, Ramon Huerta, Roman Kotelnikov","submitted_at":"2014-10-08T18:44:30Z","abstract_excerpt":"For practical construction of complex synthetic genetic networks able to perform elaborate functions it is important to have a pool of relatively simple \"bio-bricks\" with different functionality which can be compounded together. To complement engineering of very different existing synthetic genetic devices such as switches, oscillators or logical gates, we propose and develop here a design of synthetic multiple input distributed classifier with learning ability. Proposed classifier will be able to separate multi-input data, which are inseparable for single input classifiers. Additionally, the "},"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":"1410.2590","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.MN","submitted_at":"2014-10-08T18:44:30Z","cross_cats_sorted":[],"title_canon_sha256":"c66e49c8ef1b56abcd3c4dba0d40f6af138f47c33211a1f2b644f2677ccdc48c","abstract_canon_sha256":"ff96a0c932f59508628c37917347fac7c0431969b8592860056d4f7490b45d25"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:00:23.081432Z","signature_b64":"y5bpLkd6sTt9SQs5URBgnc6vHSYaOebmjulu589/Lum0snAhLFnBcWTRdLu4YkOWPUb3xCltqMIv6j5uX7pjCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0364ecbf6e533c02abeca6c7cf7a6398c011f9725dba9bb179ae002dc6250175","last_reissued_at":"2026-05-18T00:00:23.080804Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:00:23.080804Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Multi-input distributed classifiers for synthetic genetic circuits","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"q-bio.MN","authors_text":"Ahmed Alsaedi, Alexey Zaikin, Lev Tsimring, Mikhail Ivanchenko, Oleg Kanakov, Ramon Huerta, Roman Kotelnikov","submitted_at":"2014-10-08T18:44:30Z","abstract_excerpt":"For practical construction of complex synthetic genetic networks able to perform elaborate functions it is important to have a pool of relatively simple \"bio-bricks\" with different functionality which can be compounded together. To complement engineering of very different existing synthetic genetic devices such as switches, oscillators or logical gates, we propose and develop here a design of synthetic multiple input distributed classifier with learning ability. Proposed classifier will be able to separate multi-input data, which are inseparable for single input classifiers. Additionally, the "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1410.2590","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":"1410.2590","created_at":"2026-05-18T00:00:23.080892+00:00"},{"alias_kind":"arxiv_version","alias_value":"1410.2590v1","created_at":"2026-05-18T00:00:23.080892+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1410.2590","created_at":"2026-05-18T00:00:23.080892+00:00"},{"alias_kind":"pith_short_12","alias_value":"ANSOZP3OKM6A","created_at":"2026-05-18T12:28:19.803747+00:00"},{"alias_kind":"pith_short_16","alias_value":"ANSOZP3OKM6AFK7M","created_at":"2026-05-18T12:28:19.803747+00:00"},{"alias_kind":"pith_short_8","alias_value":"ANSOZP3O","created_at":"2026-05-18T12:28:19.803747+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/ANSOZP3OKM6AFK7MU3D466TDTD","json":"https://pith.science/pith/ANSOZP3OKM6AFK7MU3D466TDTD.json","graph_json":"https://pith.science/api/pith-number/ANSOZP3OKM6AFK7MU3D466TDTD/graph.json","events_json":"https://pith.science/api/pith-number/ANSOZP3OKM6AFK7MU3D466TDTD/events.json","paper":"https://pith.science/paper/ANSOZP3O"},"agent_actions":{"view_html":"https://pith.science/pith/ANSOZP3OKM6AFK7MU3D466TDTD","download_json":"https://pith.science/pith/ANSOZP3OKM6AFK7MU3D466TDTD.json","view_paper":"https://pith.science/paper/ANSOZP3O","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1410.2590&json=true","fetch_graph":"https://pith.science/api/pith-number/ANSOZP3OKM6AFK7MU3D466TDTD/graph.json","fetch_events":"https://pith.science/api/pith-number/ANSOZP3OKM6AFK7MU3D466TDTD/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ANSOZP3OKM6AFK7MU3D466TDTD/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ANSOZP3OKM6AFK7MU3D466TDTD/action/storage_attestation","attest_author":"https://pith.science/pith/ANSOZP3OKM6AFK7MU3D466TDTD/action/author_attestation","sign_citation":"https://pith.science/pith/ANSOZP3OKM6AFK7MU3D466TDTD/action/citation_signature","submit_replication":"https://pith.science/pith/ANSOZP3OKM6AFK7MU3D466TDTD/action/replication_record"}},"created_at":"2026-05-18T00:00:23.080892+00:00","updated_at":"2026-05-18T00:00:23.080892+00:00"}