{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2020:JEPW6L2LCTKZDEXGNMRJXSIICP","short_pith_number":"pith:JEPW6L2L","schema_version":"1.0","canonical_sha256":"491f6f2f4b14d59192e66b229bc90813cad8df45a3c9f9443b08a5242f682d88","source":{"kind":"arxiv","id":"2002.04309","version":5},"attestation_state":"computed","paper":{"title":"A unifying framework for mean-field theories of asymmetric kinetic Ising systems","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cond-mat.stat-mech","nlin.AO","physics.bio-ph","q-bio.NC"],"primary_cat":"cond-mat.dis-nn","authors_text":"Hideaki Shimazaki, Miguel Aguilera, S. Amin Moosavi","submitted_at":"2020-02-11T11:02:56Z","abstract_excerpt":"Kinetic Ising models are powerful tools for studying the non-equilibrium dynamics of complex systems. As their behavior is not tractable for large networks, many mean-field methods have been proposed for their analysis, each based on unique assumptions about the system's temporal evolution. This disparity of approaches makes it challenging to systematically advance mean-field methods beyond previous contributions. Here, we propose a unifying framework for mean-field theories of asymmetric kinetic Ising systems from an information geometry perspective. The framework is built on Plefka expansion"},"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":"2002.04309","kind":"arxiv","version":5},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cond-mat.dis-nn","submitted_at":"2020-02-11T11:02:56Z","cross_cats_sorted":["cond-mat.stat-mech","nlin.AO","physics.bio-ph","q-bio.NC"],"title_canon_sha256":"82e743a1e7e1fb15de9f24485612bd21db716dedec1abb7e246abe48d397a314","abstract_canon_sha256":"5a7d136d2fe1a42030028f1b36227da67b0b5cec7727f05fa80beb83e927cb1c"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:39:40.733045Z","signature_b64":"Fs9rrMDl00+j11XDa3tR8g/whFF6hWqXjsTrNOVLVfW/4FPTmxK3bxWnopIt1SkpFLgERQhy3Fdp9TI+weGDDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"491f6f2f4b14d59192e66b229bc90813cad8df45a3c9f9443b08a5242f682d88","last_reissued_at":"2026-07-05T02:39:40.732502Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:39:40.732502Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A unifying framework for mean-field theories of asymmetric kinetic Ising systems","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cond-mat.stat-mech","nlin.AO","physics.bio-ph","q-bio.NC"],"primary_cat":"cond-mat.dis-nn","authors_text":"Hideaki Shimazaki, Miguel Aguilera, S. Amin Moosavi","submitted_at":"2020-02-11T11:02:56Z","abstract_excerpt":"Kinetic Ising models are powerful tools for studying the non-equilibrium dynamics of complex systems. As their behavior is not tractable for large networks, many mean-field methods have been proposed for their analysis, each based on unique assumptions about the system's temporal evolution. This disparity of approaches makes it challenging to systematically advance mean-field methods beyond previous contributions. Here, we propose a unifying framework for mean-field theories of asymmetric kinetic Ising systems from an information geometry perspective. The framework is built on Plefka expansion"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2002.04309","kind":"arxiv","version":5},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2002.04309/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2002.04309","created_at":"2026-07-05T02:39:40.732563+00:00"},{"alias_kind":"arxiv_version","alias_value":"2002.04309v5","created_at":"2026-07-05T02:39:40.732563+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2002.04309","created_at":"2026-07-05T02:39:40.732563+00:00"},{"alias_kind":"pith_short_12","alias_value":"JEPW6L2LCTKZ","created_at":"2026-07-05T02:39:40.732563+00:00"},{"alias_kind":"pith_short_16","alias_value":"JEPW6L2LCTKZDEXG","created_at":"2026-07-05T02:39:40.732563+00:00"},{"alias_kind":"pith_short_8","alias_value":"JEPW6L2L","created_at":"2026-07-05T02:39:40.732563+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/JEPW6L2LCTKZDEXGNMRJXSIICP","json":"https://pith.science/pith/JEPW6L2LCTKZDEXGNMRJXSIICP.json","graph_json":"https://pith.science/api/pith-number/JEPW6L2LCTKZDEXGNMRJXSIICP/graph.json","events_json":"https://pith.science/api/pith-number/JEPW6L2LCTKZDEXGNMRJXSIICP/events.json","paper":"https://pith.science/paper/JEPW6L2L"},"agent_actions":{"view_html":"https://pith.science/pith/JEPW6L2LCTKZDEXGNMRJXSIICP","download_json":"https://pith.science/pith/JEPW6L2LCTKZDEXGNMRJXSIICP.json","view_paper":"https://pith.science/paper/JEPW6L2L","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2002.04309&json=true","fetch_graph":"https://pith.science/api/pith-number/JEPW6L2LCTKZDEXGNMRJXSIICP/graph.json","fetch_events":"https://pith.science/api/pith-number/JEPW6L2LCTKZDEXGNMRJXSIICP/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/JEPW6L2LCTKZDEXGNMRJXSIICP/action/timestamp_anchor","attest_storage":"https://pith.science/pith/JEPW6L2LCTKZDEXGNMRJXSIICP/action/storage_attestation","attest_author":"https://pith.science/pith/JEPW6L2LCTKZDEXGNMRJXSIICP/action/author_attestation","sign_citation":"https://pith.science/pith/JEPW6L2LCTKZDEXGNMRJXSIICP/action/citation_signature","submit_replication":"https://pith.science/pith/JEPW6L2LCTKZDEXGNMRJXSIICP/action/replication_record"}},"created_at":"2026-07-05T02:39:40.732563+00:00","updated_at":"2026-07-05T02:39:40.732563+00:00"}