{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:FA5QI4IDKAJKFY3ML7QKWS3Q52","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"d19d9c23c031e2405f75cf4277dd677a233cfe63ef3abee16729d318773a91ee","cross_cats_sorted":["cs.LG","cs.NE"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-bio.NC","submitted_at":"2026-06-26T07:12:45Z","title_canon_sha256":"0e67ff160fe471b036f42b19794ab2523a11d1334fdda0ec1467a5ba9d6e5020"},"schema_version":"1.0","source":{"id":"2606.27783","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.27783","created_at":"2026-06-29T01:14:48Z"},{"alias_kind":"arxiv_version","alias_value":"2606.27783v1","created_at":"2026-06-29T01:14:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.27783","created_at":"2026-06-29T01:14:48Z"},{"alias_kind":"pith_short_12","alias_value":"FA5QI4IDKAJK","created_at":"2026-06-29T01:14:48Z"},{"alias_kind":"pith_short_16","alias_value":"FA5QI4IDKAJKFY3M","created_at":"2026-06-29T01:14:48Z"},{"alias_kind":"pith_short_8","alias_value":"FA5QI4ID","created_at":"2026-06-29T01:14:48Z"}],"graph_snapshots":[{"event_id":"sha256:bcde45ca1227875bada703268a456206db4befbfa7d69e8770a97ee78c0b7ad2","target":"graph","created_at":"2026-06-29T01:14:48Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2606.27783/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Continuous attractor neural networks (CANNs) are the canonical computational framework for how the brain encodes continuous variables such as spatial position, head direction, and movement direction, and explain the activity of hippocampal place cells, entorhinal grid cells, and head-direction cells. CANN research, however, is fragmented: most results rest on lab-specific implementations, general-purpose simulators lack CANN-specific abstractions, and the path from spike trains to attractor geometry in real recordings lacks a standardized toolkit. Here, we present a comprehensive open-source t","authors_text":"Aiersi Tuerhong, Junfeng Zuo, Shangjun She, Sichao He, Si Wu, Tianhao Chu, Yuling Wu","cross_cats":["cs.LG","cs.NE"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-bio.NC","submitted_at":"2026-06-26T07:12:45Z","title":"CANNs: A Toolkit for Research on Continuous Attractor Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.27783","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:1b0ad572d2b591374e5dfb3cc70284f196695f4901072601b5a22b726fe64690","target":"record","created_at":"2026-06-29T01:14:48Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"d19d9c23c031e2405f75cf4277dd677a233cfe63ef3abee16729d318773a91ee","cross_cats_sorted":["cs.LG","cs.NE"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-bio.NC","submitted_at":"2026-06-26T07:12:45Z","title_canon_sha256":"0e67ff160fe471b036f42b19794ab2523a11d1334fdda0ec1467a5ba9d6e5020"},"schema_version":"1.0","source":{"id":"2606.27783","kind":"arxiv","version":1}},"canonical_sha256":"283b0471035012a2e36c5fe0ab4b70ee9365b63582203e39592d1f279716bab5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"283b0471035012a2e36c5fe0ab4b70ee9365b63582203e39592d1f279716bab5","first_computed_at":"2026-06-29T01:14:48.244158Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-29T01:14:48.244158Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"VVClXi2FiM4v9StQTQyZ/YULuzC7Vav2EIreIVPwIiSzJWvg9UINYNR1i2fEF/uBu57uhBl7qlG/LyvTtCkJCg==","signature_status":"signed_v1","signed_at":"2026-06-29T01:14:48.244581Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.27783","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1b0ad572d2b591374e5dfb3cc70284f196695f4901072601b5a22b726fe64690","sha256:bcde45ca1227875bada703268a456206db4befbfa7d69e8770a97ee78c0b7ad2"],"state_sha256":"5b48ae15610a65a9bb2f7ba1858df88ace076b3cf3f9c5fb6f72e15a8839894f"}