{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:VLL7EUC77D52YYAFNKHAIBXFUB","short_pith_number":"pith:VLL7EUC7","canonical_record":{"source":{"id":"2606.24528","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2026-06-23T12:57:49Z","cross_cats_sorted":[],"title_canon_sha256":"1fa12fddf01325f93f23ab03d6fb2f4051f01d42befe979a3b6121393ebebd2c","abstract_canon_sha256":"600ad5bf16361049ce277e5d10b608617273382fa5ce9b3d00c2fc7eec0412f1"},"schema_version":"1.0"},"canonical_sha256":"aad7f2505ff8fbac60056a8e0406e5a0576ab4d888bd8f3a96938c521998efdd","source":{"kind":"arxiv","id":"2606.24528","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.24528","created_at":"2026-06-24T01:15:33Z"},{"alias_kind":"arxiv_version","alias_value":"2606.24528v1","created_at":"2026-06-24T01:15:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.24528","created_at":"2026-06-24T01:15:33Z"},{"alias_kind":"pith_short_12","alias_value":"VLL7EUC77D52","created_at":"2026-06-24T01:15:33Z"},{"alias_kind":"pith_short_16","alias_value":"VLL7EUC77D52YYAF","created_at":"2026-06-24T01:15:33Z"},{"alias_kind":"pith_short_8","alias_value":"VLL7EUC7","created_at":"2026-06-24T01:15:33Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:VLL7EUC77D52YYAFNKHAIBXFUB","target":"record","payload":{"canonical_record":{"source":{"id":"2606.24528","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2026-06-23T12:57:49Z","cross_cats_sorted":[],"title_canon_sha256":"1fa12fddf01325f93f23ab03d6fb2f4051f01d42befe979a3b6121393ebebd2c","abstract_canon_sha256":"600ad5bf16361049ce277e5d10b608617273382fa5ce9b3d00c2fc7eec0412f1"},"schema_version":"1.0"},"canonical_sha256":"aad7f2505ff8fbac60056a8e0406e5a0576ab4d888bd8f3a96938c521998efdd","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-24T01:15:33.054084Z","signature_b64":"2W1txZIl8ZsOC48+QSCSIhMN1DcKjv2bkhKUSsMH7uJ0mYWKdzg0Wa1eUv58OfXUaEDrhiFHigbDw6rpKIl4Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"aad7f2505ff8fbac60056a8e0406e5a0576ab4d888bd8f3a96938c521998efdd","last_reissued_at":"2026-06-24T01:15:33.053730Z","signature_status":"signed_v1","first_computed_at":"2026-06-24T01:15:33.053730Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.24528","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-06-24T01:15:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BXg54fEhWIqWfjFgPykndKRBs5XHEGyPpdNIiTJ4HoXlRrYO1LKYhaPPS7KEJUBVzEtlvuUsrxOdlyjhBSMpBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-24T05:21:41.609494Z"},"content_sha256":"ed8d873eb5a7ce5a4950a60d0a763050f5ea6ecf87e222f3706db67d7fe74849","schema_version":"1.0","event_id":"sha256:ed8d873eb5a7ce5a4950a60d0a763050f5ea6ecf87e222f3706db67d7fe74849"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:VLL7EUC77D52YYAFNKHAIBXFUB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SphereVBx: Spherical Variational Bayes Clustering for Simplified EEND-VC Diarization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"eess.AS","authors_text":"Jiangyu Han, Luk\\'a\\v{s} Burget, Marc Delcroix, Naohiro Tawara, Petr P\\'alka, Prachi Singh","submitted_at":"2026-06-23T12:57:49Z","abstract_excerpt":"We propose SphereVBx, a Bayesian clustering framework for hyperspherical embeddings based on Toroidal Probabilistic Spherical Discriminant Analysis (T-PSDA). The method follows the variational Bayesian formulation of VBx while replacing the Gaussian Probabilistic Linear Discriminant Analysis (PLDA) backend with T-PSDA, resulting in variational inference in a mixture of von Mises-Fisher distributions. We apply SphereVBx to speaker diarization and in particular to the end-to-end neural diarization with vector clustering (EEND-VC) framework. A parameter-free variant, denoted SphereVBx-PF, corresp"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.24528","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/2606.24528/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-06-24T01:15:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yggSIo7Bcv9EllYP9iM/8KN21qBGZ6WrTcugHDk2FO+0l6/PSyxpTuwwoeCj3biPO/OuG4nG1ofIHjNsAR0XBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-24T05:21:41.609876Z"},"content_sha256":"50ee489c709925a6ae3e62fa3b09cfd1d8718f12a0292dbae79e46884fab907d","schema_version":"1.0","event_id":"sha256:50ee489c709925a6ae3e62fa3b09cfd1d8718f12a0292dbae79e46884fab907d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VLL7EUC77D52YYAFNKHAIBXFUB/bundle.json","state_url":"https://pith.science/pith/VLL7EUC77D52YYAFNKHAIBXFUB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VLL7EUC77D52YYAFNKHAIBXFUB/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-24T05:21:41Z","links":{"resolver":"https://pith.science/pith/VLL7EUC77D52YYAFNKHAIBXFUB","bundle":"https://pith.science/pith/VLL7EUC77D52YYAFNKHAIBXFUB/bundle.json","state":"https://pith.science/pith/VLL7EUC77D52YYAFNKHAIBXFUB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VLL7EUC77D52YYAFNKHAIBXFUB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:VLL7EUC77D52YYAFNKHAIBXFUB","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":"600ad5bf16361049ce277e5d10b608617273382fa5ce9b3d00c2fc7eec0412f1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2026-06-23T12:57:49Z","title_canon_sha256":"1fa12fddf01325f93f23ab03d6fb2f4051f01d42befe979a3b6121393ebebd2c"},"schema_version":"1.0","source":{"id":"2606.24528","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.24528","created_at":"2026-06-24T01:15:33Z"},{"alias_kind":"arxiv_version","alias_value":"2606.24528v1","created_at":"2026-06-24T01:15:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.24528","created_at":"2026-06-24T01:15:33Z"},{"alias_kind":"pith_short_12","alias_value":"VLL7EUC77D52","created_at":"2026-06-24T01:15:33Z"},{"alias_kind":"pith_short_16","alias_value":"VLL7EUC77D52YYAF","created_at":"2026-06-24T01:15:33Z"},{"alias_kind":"pith_short_8","alias_value":"VLL7EUC7","created_at":"2026-06-24T01:15:33Z"}],"graph_snapshots":[{"event_id":"sha256:50ee489c709925a6ae3e62fa3b09cfd1d8718f12a0292dbae79e46884fab907d","target":"graph","created_at":"2026-06-24T01:15:33Z","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/2606.24528/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We propose SphereVBx, a Bayesian clustering framework for hyperspherical embeddings based on Toroidal Probabilistic Spherical Discriminant Analysis (T-PSDA). The method follows the variational Bayesian formulation of VBx while replacing the Gaussian Probabilistic Linear Discriminant Analysis (PLDA) backend with T-PSDA, resulting in variational inference in a mixture of von Mises-Fisher distributions. We apply SphereVBx to speaker diarization and in particular to the end-to-end neural diarization with vector clustering (EEND-VC) framework. A parameter-free variant, denoted SphereVBx-PF, corresp","authors_text":"Jiangyu Han, Luk\\'a\\v{s} Burget, Marc Delcroix, Naohiro Tawara, Petr P\\'alka, Prachi Singh","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2026-06-23T12:57:49Z","title":"SphereVBx: Spherical Variational Bayes Clustering for Simplified EEND-VC Diarization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.24528","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:ed8d873eb5a7ce5a4950a60d0a763050f5ea6ecf87e222f3706db67d7fe74849","target":"record","created_at":"2026-06-24T01:15:33Z","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":"600ad5bf16361049ce277e5d10b608617273382fa5ce9b3d00c2fc7eec0412f1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2026-06-23T12:57:49Z","title_canon_sha256":"1fa12fddf01325f93f23ab03d6fb2f4051f01d42befe979a3b6121393ebebd2c"},"schema_version":"1.0","source":{"id":"2606.24528","kind":"arxiv","version":1}},"canonical_sha256":"aad7f2505ff8fbac60056a8e0406e5a0576ab4d888bd8f3a96938c521998efdd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"aad7f2505ff8fbac60056a8e0406e5a0576ab4d888bd8f3a96938c521998efdd","first_computed_at":"2026-06-24T01:15:33.053730Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-24T01:15:33.053730Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2W1txZIl8ZsOC48+QSCSIhMN1DcKjv2bkhKUSsMH7uJ0mYWKdzg0Wa1eUv58OfXUaEDrhiFHigbDw6rpKIl4Cw==","signature_status":"signed_v1","signed_at":"2026-06-24T01:15:33.054084Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.24528","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ed8d873eb5a7ce5a4950a60d0a763050f5ea6ecf87e222f3706db67d7fe74849","sha256:50ee489c709925a6ae3e62fa3b09cfd1d8718f12a0292dbae79e46884fab907d"],"state_sha256":"7e60d43f70876c9479c7850bd133c33d4f3a309b49f2d1db51580ed48a207dc9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rofSVa/0QIwpyKaK9gxBBXV5aBECX4vHkpw4DCj/PGBwuqaBUOOuq8akC7a2uNzvTK2fgvEBD3wLOiBg77naAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-24T05:21:41.611983Z","bundle_sha256":"34bf127cd67fc116711ec5d2496b7604b56e9408a6a4ca70f5f5e02c4c67c7e6"}}