{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:LSAC46FYQM6C2EY3RKCP5D7XA4","short_pith_number":"pith:LSAC46FY","canonical_record":{"source":{"id":"2607.13669","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-15T10:12:48Z","cross_cats_sorted":[],"title_canon_sha256":"c84858f62cc7f2a695bb5fbebb36cf9303a2fb95b8181b260d98d091327e809c","abstract_canon_sha256":"63c5bf996e6fa53c48bea9c3e2ab7abe53c79036a4df79a52931f9c7990bca6e"},"schema_version":"1.0"},"canonical_sha256":"5c802e78b8833c2d131b8a84fe8ff7073886274b384d00b3537cc6835346ff73","source":{"kind":"arxiv","id":"2607.13669","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.13669","created_at":"2026-07-16T01:22:59Z"},{"alias_kind":"arxiv_version","alias_value":"2607.13669v1","created_at":"2026-07-16T01:22:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.13669","created_at":"2026-07-16T01:22:59Z"},{"alias_kind":"pith_short_12","alias_value":"LSAC46FYQM6C","created_at":"2026-07-16T01:22:59Z"},{"alias_kind":"pith_short_16","alias_value":"LSAC46FYQM6C2EY3","created_at":"2026-07-16T01:22:59Z"},{"alias_kind":"pith_short_8","alias_value":"LSAC46FY","created_at":"2026-07-16T01:22:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:LSAC46FYQM6C2EY3RKCP5D7XA4","target":"record","payload":{"canonical_record":{"source":{"id":"2607.13669","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-15T10:12:48Z","cross_cats_sorted":[],"title_canon_sha256":"c84858f62cc7f2a695bb5fbebb36cf9303a2fb95b8181b260d98d091327e809c","abstract_canon_sha256":"63c5bf996e6fa53c48bea9c3e2ab7abe53c79036a4df79a52931f9c7990bca6e"},"schema_version":"1.0"},"canonical_sha256":"5c802e78b8833c2d131b8a84fe8ff7073886274b384d00b3537cc6835346ff73","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-16T01:22:59.907630Z","signature_b64":"czFv7PPYbSTygidYjosKIHfW2yAM2uB/aLcL0nl7INzLtQ9nE4/yu3LqRiTaKSm4cjohmfudnESolYjTIdE3AQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5c802e78b8833c2d131b8a84fe8ff7073886274b384d00b3537cc6835346ff73","last_reissued_at":"2026-07-16T01:22:59.906801Z","signature_status":"signed_v1","first_computed_at":"2026-07-16T01:22:59.906801Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.13669","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":"2026-07-16T01:22:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+vOHbLddRQzbuF+3lg7hlqg7tQd35JF+s+3+wSC+DQwDovfNJdLN0PWUPM01GxgaHy/7Ts1N+W70CvhJRWgjBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T21:34:20.144959Z"},"content_sha256":"98c12e20b5369cff20e98c6711356e27059fa5e7766e258035eca42fa082320a","schema_version":"1.0","event_id":"sha256:98c12e20b5369cff20e98c6711356e27059fa5e7766e258035eca42fa082320a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:LSAC46FYQM6C2EY3RKCP5D7XA4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Learning Speaker Identity Beyond Language and Modality Constraints: Insights from the POLY-SIM 2026 Challenge","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Elisabeth Andre, Khalid Mahmood Malik, Marina Zanoni, Markus Schedl, Marta Moscati, Monorama Swain, Mubashir Noman, Muhammad Saad Saeed, Rohan Kumar Das, Shah Nawaz, Yassin Terraf, Yufang Hou","submitted_at":"2026-07-15T10:12:48Z","abstract_excerpt":"Multimodal speaker identification systems typically assume the availability of complete and homogeneous audio-visual modalities during both training and testing, and assume each speaker only speaks a single language. However, in real-world applications, such assumptions often do not hold. Visual or audio information may be missing due to occlusions, camera or microphone failures, or privacy constraints. Multilingual speakers introduce additional complexity due to linguistic variability across languages. These situations constitute substantial challenges for the robustness and generalization ca"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.13669","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/2607.13669/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":"2026-07-16T01:22:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gqMdD/tvXVA+6e6bCtERJ4Dpder/UuQ1H79OuIt4mrAFNqf8TfRB+285DBoCYiNPDy/MK50uYYeggDkB7QHrAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T21:34:20.146025Z"},"content_sha256":"d51ba4272dcda9ac6d9632dc0178912dd1a7e77c006a2a2fef50fdd2afe93999","schema_version":"1.0","event_id":"sha256:d51ba4272dcda9ac6d9632dc0178912dd1a7e77c006a2a2fef50fdd2afe93999"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:LSAC46FYQM6C2EY3RKCP5D7XA4","target":"integrity","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.21437/Interspeech.2018-1929) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"Joon Son Chung, Arsha Nagrani, and Andrew Zisserman. 2018. VoxCeleb2: Deep Speaker Recognition. InInterspeech 2018. 1086–1090. doi:10.21437/Interspeech. 2018-1929","arxiv_id":"2607.13669","detector":"doi_compliance","evidence":{"ref_index":2,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"10.21437/interspeech","reconstructed_doi":"10.21437/Interspeech.2018-1929"},"severity":"advisory","ref_index":2,"audited_at":"2026-08-02T04:40:19.824571Z","event_type":"pith.integrity.v1","detected_doi":"10.21437/Interspeech.2018-1929","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"da90c5b38bedc737ca55b0a162a121c9543f32216ca24dbfdf886ea78cfa1e94","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":17198,"payload_sha256":"974cadfd81994b75da3fe7e4279b65d34a14933ec5bfe5ed0c0fdf57e40a6293","signature_b64":"fTihNXP9Jw3fq+fxG7TJ75aUT8TlhvLPPqrcDtIjCJfMOHWS16VrSEIgllXO5t9eL5F0phJMOvTi4n5OYS0JAg==","signing_key_id":"pith-v1-2026-05"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-08-02T04:43:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oK9QXkstowzGay4EivAMfIS8ulr5iU9iLapWaaJ6pfKSHD0ZpMx/liYrQ4hBm8hYlmUQpAjfuorksXMLkKIRBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T21:34:20.177308Z"},"content_sha256":"654691c068dcd32d4fd0b06d670bef5fa45ab06eb6da0c12b96d4b6c1ed135ed","schema_version":"1.0","event_id":"sha256:654691c068dcd32d4fd0b06d670bef5fa45ab06eb6da0c12b96d4b6c1ed135ed"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LSAC46FYQM6C2EY3RKCP5D7XA4/bundle.json","state_url":"https://pith.science/pith/LSAC46FYQM6C2EY3RKCP5D7XA4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LSAC46FYQM6C2EY3RKCP5D7XA4/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":"2026-08-06T21:34:20Z","links":{"resolver":"https://pith.science/pith/LSAC46FYQM6C2EY3RKCP5D7XA4","bundle":"https://pith.science/pith/LSAC46FYQM6C2EY3RKCP5D7XA4/bundle.json","state":"https://pith.science/pith/LSAC46FYQM6C2EY3RKCP5D7XA4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LSAC46FYQM6C2EY3RKCP5D7XA4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:LSAC46FYQM6C2EY3RKCP5D7XA4","merge_version":"pith-open-graph-merge-v1","event_count":3,"valid_event_count":3,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"63c5bf996e6fa53c48bea9c3e2ab7abe53c79036a4df79a52931f9c7990bca6e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-15T10:12:48Z","title_canon_sha256":"c84858f62cc7f2a695bb5fbebb36cf9303a2fb95b8181b260d98d091327e809c"},"schema_version":"1.0","source":{"id":"2607.13669","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.13669","created_at":"2026-07-16T01:22:59Z"},{"alias_kind":"arxiv_version","alias_value":"2607.13669v1","created_at":"2026-07-16T01:22:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.13669","created_at":"2026-07-16T01:22:59Z"},{"alias_kind":"pith_short_12","alias_value":"LSAC46FYQM6C","created_at":"2026-07-16T01:22:59Z"},{"alias_kind":"pith_short_16","alias_value":"LSAC46FYQM6C2EY3","created_at":"2026-07-16T01:22:59Z"},{"alias_kind":"pith_short_8","alias_value":"LSAC46FY","created_at":"2026-07-16T01:22:59Z"}],"graph_snapshots":[{"event_id":"sha256:d51ba4272dcda9ac6d9632dc0178912dd1a7e77c006a2a2fef50fdd2afe93999","target":"graph","created_at":"2026-07-16T01:22:59Z","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/2607.13669/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Multimodal speaker identification systems typically assume the availability of complete and homogeneous audio-visual modalities during both training and testing, and assume each speaker only speaks a single language. However, in real-world applications, such assumptions often do not hold. Visual or audio information may be missing due to occlusions, camera or microphone failures, or privacy constraints. Multilingual speakers introduce additional complexity due to linguistic variability across languages. These situations constitute substantial challenges for the robustness and generalization ca","authors_text":"Elisabeth Andre, Khalid Mahmood Malik, Marina Zanoni, Markus Schedl, Marta Moscati, Monorama Swain, Mubashir Noman, Muhammad Saad Saeed, Rohan Kumar Das, Shah Nawaz, Yassin Terraf, Yufang Hou","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-15T10:12:48Z","title":"Learning Speaker Identity Beyond Language and Modality Constraints: Insights from the POLY-SIM 2026 Challenge"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.13669","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":"sha256:98c12e20b5369cff20e98c6711356e27059fa5e7766e258035eca42fa082320a","target":"record","created_at":"2026-07-16T01:22:59Z","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":"63c5bf996e6fa53c48bea9c3e2ab7abe53c79036a4df79a52931f9c7990bca6e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-15T10:12:48Z","title_canon_sha256":"c84858f62cc7f2a695bb5fbebb36cf9303a2fb95b8181b260d98d091327e809c"},"schema_version":"1.0","source":{"id":"2607.13669","kind":"arxiv","version":1}},"canonical_sha256":"5c802e78b8833c2d131b8a84fe8ff7073886274b384d00b3537cc6835346ff73","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5c802e78b8833c2d131b8a84fe8ff7073886274b384d00b3537cc6835346ff73","first_computed_at":"2026-07-16T01:22:59.906801Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-16T01:22:59.906801Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"czFv7PPYbSTygidYjosKIHfW2yAM2uB/aLcL0nl7INzLtQ9nE4/yu3LqRiTaKSm4cjohmfudnESolYjTIdE3AQ==","signature_status":"signed_v1","signed_at":"2026-07-16T01:22:59.907630Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.13669","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:98c12e20b5369cff20e98c6711356e27059fa5e7766e258035eca42fa082320a","sha256:d51ba4272dcda9ac6d9632dc0178912dd1a7e77c006a2a2fef50fdd2afe93999","sha256:654691c068dcd32d4fd0b06d670bef5fa45ab06eb6da0c12b96d4b6c1ed135ed"],"state_sha256":"154e4c0ed3884305992e324e28e3c796b2107ff40a10ed5e4621cdc2713ab214"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"s6/pfQzK4YGGoIA24/GF0/QaDQ2n2VYosVMMwPAoQpFzdoZiIKYqCpomxLf/pY6Ka4TvTMBphnYk4rS/PPzxAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T21:34:20.179459Z","bundle_sha256":"3a2d7e7bb41b9ac4afecfe433ca0d8bfff8742b93979bf992a6d35ba3d6b595f"}}