{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:EHCBDALET63OAQJTT7HRTECADM","short_pith_number":"pith:EHCBDALE","schema_version":"1.0","canonical_sha256":"21c41181649fb6e041339fcf1990401b3a7e8f547dc5892ca7f45b07ef60dd90","source":{"kind":"arxiv","id":"2605.19403","version":1},"attestation_state":"computed","paper":{"title":"TIDE: Asymmetric Neural Circuits for Stabilized Temporal Inhibitory-Excitatory Dynamics","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Alexander Kyuroson, Denis Kleyko, Marcus Liwicki","submitted_at":"2026-05-19T05:59:13Z","abstract_excerpt":"Recent Continuous Thought Machine architecture decouples internal computation from external inputs via neural dynamics, but relies on multi-layer perceptrons without stability guarantees. We propose to model neural dynamics using asymmetric Excitatory-Inhibitory (E-I) networks, which can be stabilized via principles from network theory and can be expressed as energy-based systems optimized through a game-theoretic loss. Building on this perspective, we introduce Temporal Inhibitory-Excitatory Dynamic Engine (TIDE), a neuro-inspired architecture that computes internal representations through ne"},"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":"2605.19403","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-19T05:59:13Z","cross_cats_sorted":[],"title_canon_sha256":"756aa26369adfefc2272285df6722422fd194ce8cbea04b0bf1760748c5d8b22","abstract_canon_sha256":"8ca6c6bb05818d1d679fed3e89bed1ad55b79aca323deb57ca6ef18ab177a566"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-20T01:05:43.907494Z","signature_b64":"3qb1Ix+IvmKXTwRrRu6Pf5jtzzWi2I4UlKuHsGkg5hgsP0NVpY6QC3HngQnlVzGHSRjmWVbjNIQFkfAe+A1JBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"21c41181649fb6e041339fcf1990401b3a7e8f547dc5892ca7f45b07ef60dd90","last_reissued_at":"2026-05-20T01:05:43.906694Z","signature_status":"signed_v1","first_computed_at":"2026-05-20T01:05:43.906694Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"TIDE: Asymmetric Neural Circuits for Stabilized Temporal Inhibitory-Excitatory Dynamics","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Alexander Kyuroson, Denis Kleyko, Marcus Liwicki","submitted_at":"2026-05-19T05:59:13Z","abstract_excerpt":"Recent Continuous Thought Machine architecture decouples internal computation from external inputs via neural dynamics, but relies on multi-layer perceptrons without stability guarantees. We propose to model neural dynamics using asymmetric Excitatory-Inhibitory (E-I) networks, which can be stabilized via principles from network theory and can be expressed as energy-based systems optimized through a game-theoretic loss. Building on this perspective, we introduce Temporal Inhibitory-Excitatory Dynamic Engine (TIDE), a neuro-inspired architecture that computes internal representations through ne"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.19403","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2605.19403/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":"2605.19403","created_at":"2026-05-20T01:05:43.906810+00:00"},{"alias_kind":"arxiv_version","alias_value":"2605.19403v1","created_at":"2026-05-20T01:05:43.906810+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.19403","created_at":"2026-05-20T01:05:43.906810+00:00"},{"alias_kind":"pith_short_12","alias_value":"EHCBDALET63O","created_at":"2026-05-20T01:05:43.906810+00:00"},{"alias_kind":"pith_short_16","alias_value":"EHCBDALET63OAQJT","created_at":"2026-05-20T01:05:43.906810+00:00"},{"alias_kind":"pith_short_8","alias_value":"EHCBDALE","created_at":"2026-05-20T01:05:43.906810+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/EHCBDALET63OAQJTT7HRTECADM","json":"https://pith.science/pith/EHCBDALET63OAQJTT7HRTECADM.json","graph_json":"https://pith.science/api/pith-number/EHCBDALET63OAQJTT7HRTECADM/graph.json","events_json":"https://pith.science/api/pith-number/EHCBDALET63OAQJTT7HRTECADM/events.json","paper":"https://pith.science/paper/EHCBDALE"},"agent_actions":{"view_html":"https://pith.science/pith/EHCBDALET63OAQJTT7HRTECADM","download_json":"https://pith.science/pith/EHCBDALET63OAQJTT7HRTECADM.json","view_paper":"https://pith.science/paper/EHCBDALE","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2605.19403&json=true","fetch_graph":"https://pith.science/api/pith-number/EHCBDALET63OAQJTT7HRTECADM/graph.json","fetch_events":"https://pith.science/api/pith-number/EHCBDALET63OAQJTT7HRTECADM/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/EHCBDALET63OAQJTT7HRTECADM/action/timestamp_anchor","attest_storage":"https://pith.science/pith/EHCBDALET63OAQJTT7HRTECADM/action/storage_attestation","attest_author":"https://pith.science/pith/EHCBDALET63OAQJTT7HRTECADM/action/author_attestation","sign_citation":"https://pith.science/pith/EHCBDALET63OAQJTT7HRTECADM/action/citation_signature","submit_replication":"https://pith.science/pith/EHCBDALET63OAQJTT7HRTECADM/action/replication_record"}},"created_at":"2026-05-20T01:05:43.906810+00:00","updated_at":"2026-05-20T01:05:43.906810+00:00"}