{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:Z3NSOYJQKG4EIG7BSJIOOVBCWY","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":"b3e6cdd206ed1966a4a905d778e455b0d8be43d86d71bb7414f82a23c80ccc6e","cross_cats_sorted":["cs.SD"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2025-06-16T13:14:05Z","title_canon_sha256":"806b6414cc97a3bb68c87ff6dc358de359358d7d8512ee7282bc0329398b3149"},"schema_version":"1.0","source":{"id":"2506.13455","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.13455","created_at":"2026-07-05T11:22:20Z"},{"alias_kind":"arxiv_version","alias_value":"2506.13455v1","created_at":"2026-07-05T11:22:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.13455","created_at":"2026-07-05T11:22:20Z"},{"alias_kind":"pith_short_12","alias_value":"Z3NSOYJQKG4E","created_at":"2026-07-05T11:22:20Z"},{"alias_kind":"pith_short_16","alias_value":"Z3NSOYJQKG4EIG7B","created_at":"2026-07-05T11:22:20Z"},{"alias_kind":"pith_short_8","alias_value":"Z3NSOYJQ","created_at":"2026-07-05T11:22:20Z"}],"graph_snapshots":[{"event_id":"sha256:f83b8894b5faadfd03846f1fafaea3fa3f6349d91428e3cde90277a6f15b703f","target":"graph","created_at":"2026-07-05T11:22:20Z","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/2506.13455/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Pre-training methods have achieved significant performance improvements in sound event localization and detection (SELD) tasks, but existing Transformer-based models suffer from high computational complexity. In this work, we propose a stereo sound event localization and detection system based on pre-trained PSELDnet and bidirectional Mamba sequence modeling. We replace the Conformer module with a BiMamba module and introduce asymmetric convolutions to more effectively model the spatiotemporal relationships between time and frequency dimensions. Experimental results demonstrate that the propos","authors_text":"Wenmiao Gao, Yang Xiao","cross_cats":["cs.SD"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2025-06-16T13:14:05Z","title":"Stereo sound event localization and detection based on PSELDnet pretraining and BiMamba sequence modeling"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.13455","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":"sha256:05eb4062e477744b1c39b294872a46a37abb3cfedb0bdbbfe717089b45c974a4","target":"record","created_at":"2026-07-05T11:22:20Z","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":"b3e6cdd206ed1966a4a905d778e455b0d8be43d86d71bb7414f82a23c80ccc6e","cross_cats_sorted":["cs.SD"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2025-06-16T13:14:05Z","title_canon_sha256":"806b6414cc97a3bb68c87ff6dc358de359358d7d8512ee7282bc0329398b3149"},"schema_version":"1.0","source":{"id":"2506.13455","kind":"arxiv","version":1}},"canonical_sha256":"cedb27613051b8441be19250e75422b62bf690abb804df3fed28fb6d0e9589e4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cedb27613051b8441be19250e75422b62bf690abb804df3fed28fb6d0e9589e4","first_computed_at":"2026-07-05T11:22:20.309043Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:22:20.309043Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ebxKn48dCf32EptKB3fjK08Rb/Xo5KRB8V0pue6w72S1JBUVmq+zanHFmEC/trxnugcOywFnEsmTn0poFH2ACQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:22:20.309593Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.13455","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:05eb4062e477744b1c39b294872a46a37abb3cfedb0bdbbfe717089b45c974a4","sha256:f83b8894b5faadfd03846f1fafaea3fa3f6349d91428e3cde90277a6f15b703f"],"state_sha256":"4d6430c19aa7139eb1bb97dc691344f6057ee06de34cb27841a29f85d529fe31"}