{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:D3GENKOKFHL2XTAP4PU27HVVNL","short_pith_number":"pith:D3GENKOK","schema_version":"1.0","canonical_sha256":"1ecc46a9ca29d7abcc0fe3e9af9eb56ac635495dcdb07fd39e883f0d6c02851d","source":{"kind":"arxiv","id":"2505.22047","version":1},"attestation_state":"computed","paper":{"title":"Organizational Regularities in Recurrent Neural Networks","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"q-bio.NC","authors_text":"Achim Schilling, Andreas Maier, Claus Metzner, Patrick Krauss","submitted_at":"2025-05-28T07:13:43Z","abstract_excerpt":"Previous work has shown that the dynamical regime of Recurrent Neural Networks (RNNs) - ranging from oscillatory to chaotic and fixpoint behavior - can be controlled by the global distribution of weights in connection matrices with statistically independent elements. However, it remains unclear how network dynamics respond to organizational regularities in the weight matrix, as often observed in biological neural networks. Here, we investigate three such regularities: (1) monopolar output weights per neuron, in accordance with Dale's principle, (2) reciprocal symmetry between neuron pairs, as "},"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":"2505.22047","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-bio.NC","submitted_at":"2025-05-28T07:13:43Z","cross_cats_sorted":[],"title_canon_sha256":"a608717c6e809cecfd969588952aa7b815e52adac0d60a48a2c3fabfa060c8a2","abstract_canon_sha256":"179c22d35ff24f3afcfeb40552d3e841ec6bce85d0ee299899a619e14b37eb8a"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:11:08.792814Z","signature_b64":"Eq1N9sFKb78ckYklV/uUxRU9yZaiZpIFHIYoAMPWCf1eyHEZQ6Xik4K+J2Aki0TG4nsTur8HUAA90PoEvl0cDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1ecc46a9ca29d7abcc0fe3e9af9eb56ac635495dcdb07fd39e883f0d6c02851d","last_reissued_at":"2026-07-05T11:11:08.792151Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:11:08.792151Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Organizational Regularities in Recurrent Neural Networks","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"q-bio.NC","authors_text":"Achim Schilling, Andreas Maier, Claus Metzner, Patrick Krauss","submitted_at":"2025-05-28T07:13:43Z","abstract_excerpt":"Previous work has shown that the dynamical regime of Recurrent Neural Networks (RNNs) - ranging from oscillatory to chaotic and fixpoint behavior - can be controlled by the global distribution of weights in connection matrices with statistically independent elements. However, it remains unclear how network dynamics respond to organizational regularities in the weight matrix, as often observed in biological neural networks. Here, we investigate three such regularities: (1) monopolar output weights per neuron, in accordance with Dale's principle, (2) reciprocal symmetry between neuron pairs, as "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.22047","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/2505.22047/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":"2505.22047","created_at":"2026-07-05T11:11:08.792247+00:00"},{"alias_kind":"arxiv_version","alias_value":"2505.22047v1","created_at":"2026-07-05T11:11:08.792247+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.22047","created_at":"2026-07-05T11:11:08.792247+00:00"},{"alias_kind":"pith_short_12","alias_value":"D3GENKOKFHL2","created_at":"2026-07-05T11:11:08.792247+00:00"},{"alias_kind":"pith_short_16","alias_value":"D3GENKOKFHL2XTAP","created_at":"2026-07-05T11:11:08.792247+00:00"},{"alias_kind":"pith_short_8","alias_value":"D3GENKOK","created_at":"2026-07-05T11:11:08.792247+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/D3GENKOKFHL2XTAP4PU27HVVNL","json":"https://pith.science/pith/D3GENKOKFHL2XTAP4PU27HVVNL.json","graph_json":"https://pith.science/api/pith-number/D3GENKOKFHL2XTAP4PU27HVVNL/graph.json","events_json":"https://pith.science/api/pith-number/D3GENKOKFHL2XTAP4PU27HVVNL/events.json","paper":"https://pith.science/paper/D3GENKOK"},"agent_actions":{"view_html":"https://pith.science/pith/D3GENKOKFHL2XTAP4PU27HVVNL","download_json":"https://pith.science/pith/D3GENKOKFHL2XTAP4PU27HVVNL.json","view_paper":"https://pith.science/paper/D3GENKOK","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2505.22047&json=true","fetch_graph":"https://pith.science/api/pith-number/D3GENKOKFHL2XTAP4PU27HVVNL/graph.json","fetch_events":"https://pith.science/api/pith-number/D3GENKOKFHL2XTAP4PU27HVVNL/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/D3GENKOKFHL2XTAP4PU27HVVNL/action/timestamp_anchor","attest_storage":"https://pith.science/pith/D3GENKOKFHL2XTAP4PU27HVVNL/action/storage_attestation","attest_author":"https://pith.science/pith/D3GENKOKFHL2XTAP4PU27HVVNL/action/author_attestation","sign_citation":"https://pith.science/pith/D3GENKOKFHL2XTAP4PU27HVVNL/action/citation_signature","submit_replication":"https://pith.science/pith/D3GENKOKFHL2XTAP4PU27HVVNL/action/replication_record"}},"created_at":"2026-07-05T11:11:08.792247+00:00","updated_at":"2026-07-05T11:11:08.792247+00:00"}