{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:TOFOEY3XMEL5Y7BNDY2AXKHFPN","short_pith_number":"pith:TOFOEY3X","schema_version":"1.0","canonical_sha256":"9b8ae263776117dc7c2d1e340ba8e57b7a867c60ac6c90d649482a730041b1c4","source":{"kind":"arxiv","id":"1701.03917","version":1},"attestation_state":"computed","paper":{"title":"Numerical Solution of Stochastic Neural Fields with Delays","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"math.NA","authors_text":"Evelyn Buckwar, Pedro M. Lima","submitted_at":"2017-01-14T13:24:28Z","abstract_excerpt":"We introduce a new numerical algorithm for solving the stochastic neural field equation (NFE) with delays. Using this algorithm we have obtained some numerical results which illustrate the effect of noise in the dynamical behaviour of stationary solutions of the NFE, in the presence of spatially heterogeneous external inputs."},"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":"1701.03917","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.NA","submitted_at":"2017-01-14T13:24:28Z","cross_cats_sorted":[],"title_canon_sha256":"17e4adf4305ad4667eed94bad791c4a92a6bb9079e09f6d47ad21fe66da32a56","abstract_canon_sha256":"160749a123eeac35477a59c71c575642a93a4ad554ad56fa6b72c9d8bc94a42a"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:52:48.470515Z","signature_b64":"qeoyNc621Hq3NRL5N6KzQdiBE7OLEEm2akuUzb1Rfzh7EC+PcLlHSC2v8PE32Hm2HYAn9CXotsCs9SJfrwhMCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9b8ae263776117dc7c2d1e340ba8e57b7a867c60ac6c90d649482a730041b1c4","last_reissued_at":"2026-05-18T00:52:48.469907Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:52:48.469907Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Numerical Solution of Stochastic Neural Fields with Delays","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"math.NA","authors_text":"Evelyn Buckwar, Pedro M. Lima","submitted_at":"2017-01-14T13:24:28Z","abstract_excerpt":"We introduce a new numerical algorithm for solving the stochastic neural field equation (NFE) with delays. Using this algorithm we have obtained some numerical results which illustrate the effect of noise in the dynamical behaviour of stationary solutions of the NFE, in the presence of spatially heterogeneous external inputs."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1701.03917","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":"1701.03917","created_at":"2026-05-18T00:52:48.470002+00:00"},{"alias_kind":"arxiv_version","alias_value":"1701.03917v1","created_at":"2026-05-18T00:52:48.470002+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1701.03917","created_at":"2026-05-18T00:52:48.470002+00:00"},{"alias_kind":"pith_short_12","alias_value":"TOFOEY3XMEL5","created_at":"2026-05-18T12:31:46.661854+00:00"},{"alias_kind":"pith_short_16","alias_value":"TOFOEY3XMEL5Y7BN","created_at":"2026-05-18T12:31:46.661854+00:00"},{"alias_kind":"pith_short_8","alias_value":"TOFOEY3X","created_at":"2026-05-18T12:31:46.661854+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/TOFOEY3XMEL5Y7BNDY2AXKHFPN","json":"https://pith.science/pith/TOFOEY3XMEL5Y7BNDY2AXKHFPN.json","graph_json":"https://pith.science/api/pith-number/TOFOEY3XMEL5Y7BNDY2AXKHFPN/graph.json","events_json":"https://pith.science/api/pith-number/TOFOEY3XMEL5Y7BNDY2AXKHFPN/events.json","paper":"https://pith.science/paper/TOFOEY3X"},"agent_actions":{"view_html":"https://pith.science/pith/TOFOEY3XMEL5Y7BNDY2AXKHFPN","download_json":"https://pith.science/pith/TOFOEY3XMEL5Y7BNDY2AXKHFPN.json","view_paper":"https://pith.science/paper/TOFOEY3X","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1701.03917&json=true","fetch_graph":"https://pith.science/api/pith-number/TOFOEY3XMEL5Y7BNDY2AXKHFPN/graph.json","fetch_events":"https://pith.science/api/pith-number/TOFOEY3XMEL5Y7BNDY2AXKHFPN/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/TOFOEY3XMEL5Y7BNDY2AXKHFPN/action/timestamp_anchor","attest_storage":"https://pith.science/pith/TOFOEY3XMEL5Y7BNDY2AXKHFPN/action/storage_attestation","attest_author":"https://pith.science/pith/TOFOEY3XMEL5Y7BNDY2AXKHFPN/action/author_attestation","sign_citation":"https://pith.science/pith/TOFOEY3XMEL5Y7BNDY2AXKHFPN/action/citation_signature","submit_replication":"https://pith.science/pith/TOFOEY3XMEL5Y7BNDY2AXKHFPN/action/replication_record"}},"created_at":"2026-05-18T00:52:48.470002+00:00","updated_at":"2026-05-18T00:52:48.470002+00:00"}