{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:Y33TFIJZXC2FOMWK4LRN362AUL","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":"fd08fee939be32610e872a32c5dd142cdca5fa99323f2913a32eea4cdfd694ee","cross_cats_sorted":["eess.AS"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.SD","submitted_at":"2024-10-09T01:30:12Z","title_canon_sha256":"85721d729d3b376e429902c26f7d888ed7672021761ef9a8add979835d52f97c"},"schema_version":"1.0","source":{"id":"2410.06459","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.06459","created_at":"2026-07-05T09:18:31Z"},{"alias_kind":"arxiv_version","alias_value":"2410.06459v2","created_at":"2026-07-05T09:18:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.06459","created_at":"2026-07-05T09:18:31Z"},{"alias_kind":"pith_short_12","alias_value":"Y33TFIJZXC2F","created_at":"2026-07-05T09:18:31Z"},{"alias_kind":"pith_short_16","alias_value":"Y33TFIJZXC2FOMWK","created_at":"2026-07-05T09:18:31Z"},{"alias_kind":"pith_short_8","alias_value":"Y33TFIJZ","created_at":"2026-07-05T09:18:31Z"}],"graph_snapshots":[{"event_id":"sha256:0d738027dd7713406820aea1d7866ae5a9b84389c91f9f781824d2b8ed353c3f","target":"graph","created_at":"2026-07-05T09:18:31Z","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/2410.06459/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Mamba is a newly proposed architecture which behaves like a recurrent neural network (RNN) with attention-like capabilities. These properties are promising for speaker diarization, as attention-based models have unsuitable memory requirements for long-form audio, and traditional RNN capabilities are too limited. In this paper, we propose to assess the potential of Mamba for diarization by comparing the state-of-the-art neural segmentation of the pyannote pipeline with our proposed Mamba-based variant. Mamba's stronger processing capabilities allow usage of longer local windows, which significa","authors_text":"Alexis Plaquet, Atsushi Ando, Marc Delcroix, Naohiro Tawara, Shoko Araki, Shota Horiguchi","cross_cats":["eess.AS"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.SD","submitted_at":"2024-10-09T01:30:12Z","title":"Mamba-based Segmentation Model for Speaker Diarization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.06459","kind":"arxiv","version":2},"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:de6b49fabe675fab822e8e9e743a480091075e84d482d52e1ade080a527643fd","target":"record","created_at":"2026-07-05T09:18:31Z","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":"fd08fee939be32610e872a32c5dd142cdca5fa99323f2913a32eea4cdfd694ee","cross_cats_sorted":["eess.AS"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.SD","submitted_at":"2024-10-09T01:30:12Z","title_canon_sha256":"85721d729d3b376e429902c26f7d888ed7672021761ef9a8add979835d52f97c"},"schema_version":"1.0","source":{"id":"2410.06459","kind":"arxiv","version":2}},"canonical_sha256":"c6f732a139b8b45732cae2e2ddfb40a2f632279186c68509fcce716dd6a7692b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c6f732a139b8b45732cae2e2ddfb40a2f632279186c68509fcce716dd6a7692b","first_computed_at":"2026-07-05T09:18:31.644714Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:18:31.644714Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"afT7zvqVQ0nR8qDMR4h9XrYkAlEJAY0lbvwxUZVPnLtLcs/XSsKPenCb30IlnlKVInA+yIsUn8gtKcG6s0x0DA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:18:31.645187Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.06459","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:de6b49fabe675fab822e8e9e743a480091075e84d482d52e1ade080a527643fd","sha256:0d738027dd7713406820aea1d7866ae5a9b84389c91f9f781824d2b8ed353c3f"],"state_sha256":"0078dc6723d51379761a48c729976fdefa4ad360357d6fcbcfa9c937150d4330"}