{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:34LDSXMPOOIFDMBVVHUU3AMES3","short_pith_number":"pith:34LDSXMP","canonical_record":{"source":{"id":"2607.02343","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2026-07-02T15:49:10Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"3cc704430c9725f1de0ea3b5de8d3eb74450a3dd3eed3ce9e1a7000c3aae2c4b","abstract_canon_sha256":"e1beb30cfdf8364fab129c323748049f062121ada40797702dcb304fa536a26a"},"schema_version":"1.0"},"canonical_sha256":"df16395d8f739051b035a9e94d818496e9424c25ab89e09433eff772df7099aa","source":{"kind":"arxiv","id":"2607.02343","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.02343","created_at":"2026-07-03T01:17:48Z"},{"alias_kind":"arxiv_version","alias_value":"2607.02343v1","created_at":"2026-07-03T01:17:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.02343","created_at":"2026-07-03T01:17:48Z"},{"alias_kind":"pith_short_12","alias_value":"34LDSXMPOOIF","created_at":"2026-07-03T01:17:48Z"},{"alias_kind":"pith_short_16","alias_value":"34LDSXMPOOIFDMBV","created_at":"2026-07-03T01:17:48Z"},{"alias_kind":"pith_short_8","alias_value":"34LDSXMP","created_at":"2026-07-03T01:17:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:34LDSXMPOOIFDMBVVHUU3AMES3","target":"record","payload":{"canonical_record":{"source":{"id":"2607.02343","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2026-07-02T15:49:10Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"3cc704430c9725f1de0ea3b5de8d3eb74450a3dd3eed3ce9e1a7000c3aae2c4b","abstract_canon_sha256":"e1beb30cfdf8364fab129c323748049f062121ada40797702dcb304fa536a26a"},"schema_version":"1.0"},"canonical_sha256":"df16395d8f739051b035a9e94d818496e9424c25ab89e09433eff772df7099aa","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-03T01:17:48.964972Z","signature_b64":"aY3/nawO/xu6BcqMCZNONmhidan+wWuQLM46S5nueFvcCFWVHj5szUdvOaGDCqmAy3Y1ffHpk6gyxRd/UxBaBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"df16395d8f739051b035a9e94d818496e9424c25ab89e09433eff772df7099aa","last_reissued_at":"2026-07-03T01:17:48.964546Z","signature_status":"signed_v1","first_computed_at":"2026-07-03T01:17:48.964546Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.02343","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":"2026-07-03T01:17:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YZTl8vTl/Tn8CIGZxbPnCOksAVedjJKdsF+zfuh05yzy4tYmKVKDPAm4Vr2fC5yHxIt2L1sLjVvAPhM9HVV2AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-04T06:16:44.748225Z"},"content_sha256":"4d1b3420128a62f537988e0a7a9e004d793b3c9fab593323e61734b495436ad8","schema_version":"1.0","event_id":"sha256:4d1b3420128a62f537988e0a7a9e004d793b3c9fab593323e61734b495436ad8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:34LDSXMPOOIFDMBVVHUU3AMES3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SelectTSL: Prompt-Guided Selective Target Sound Localization in Complex Scenarios","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.SD","authors_text":"Bowen Xing, Haizhou Li, Ivor W. Tsang, Xinyuan Qian, Xu-Cheng Yin, Yu Chen, Zexu Pan, Ziyang Jiang","submitted_at":"2026-07-02T15:49:10Z","abstract_excerpt":"Humans can selectively attend to a target sound and estimate its direction in complex scenarios, whereas such selective localization remains challenging for current deep learning-based systems. Sound source localization (SSL) has achieved remarkable success with deep learning, yet most methods localize all active sources without selectivity. Conversely, target sound extraction (TSE) extracts sources using multimodal prompts but typically fails to preserve the multichannel spatial information required for accurate localization. To bridge this gap, we formulate the task of prompt-guided selectiv"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.02343","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/2607.02343/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":"2026-07-03T01:17:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nALcppgCpfnron9Ao0NGyjE+L3HG1jF0+Ph7MOoAdhIdSarhyCbeJW5YlBEGL+F4NkGouUIjQTmx1Ss6JnuGBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-04T06:16:44.748886Z"},"content_sha256":"9099814896c94d3d8455805768a49f6f058b74a51deacdcf2b484dc93c4ac72c","schema_version":"1.0","event_id":"sha256:9099814896c94d3d8455805768a49f6f058b74a51deacdcf2b484dc93c4ac72c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/34LDSXMPOOIFDMBVVHUU3AMES3/bundle.json","state_url":"https://pith.science/pith/34LDSXMPOOIFDMBVVHUU3AMES3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/34LDSXMPOOIFDMBVVHUU3AMES3/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":"2026-07-04T06:16:44Z","links":{"resolver":"https://pith.science/pith/34LDSXMPOOIFDMBVVHUU3AMES3","bundle":"https://pith.science/pith/34LDSXMPOOIFDMBVVHUU3AMES3/bundle.json","state":"https://pith.science/pith/34LDSXMPOOIFDMBVVHUU3AMES3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/34LDSXMPOOIFDMBVVHUU3AMES3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:34LDSXMPOOIFDMBVVHUU3AMES3","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":"e1beb30cfdf8364fab129c323748049f062121ada40797702dcb304fa536a26a","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2026-07-02T15:49:10Z","title_canon_sha256":"3cc704430c9725f1de0ea3b5de8d3eb74450a3dd3eed3ce9e1a7000c3aae2c4b"},"schema_version":"1.0","source":{"id":"2607.02343","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.02343","created_at":"2026-07-03T01:17:48Z"},{"alias_kind":"arxiv_version","alias_value":"2607.02343v1","created_at":"2026-07-03T01:17:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.02343","created_at":"2026-07-03T01:17:48Z"},{"alias_kind":"pith_short_12","alias_value":"34LDSXMPOOIF","created_at":"2026-07-03T01:17:48Z"},{"alias_kind":"pith_short_16","alias_value":"34LDSXMPOOIFDMBV","created_at":"2026-07-03T01:17:48Z"},{"alias_kind":"pith_short_8","alias_value":"34LDSXMP","created_at":"2026-07-03T01:17:48Z"}],"graph_snapshots":[{"event_id":"sha256:9099814896c94d3d8455805768a49f6f058b74a51deacdcf2b484dc93c4ac72c","target":"graph","created_at":"2026-07-03T01:17:48Z","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/2607.02343/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Humans can selectively attend to a target sound and estimate its direction in complex scenarios, whereas such selective localization remains challenging for current deep learning-based systems. Sound source localization (SSL) has achieved remarkable success with deep learning, yet most methods localize all active sources without selectivity. Conversely, target sound extraction (TSE) extracts sources using multimodal prompts but typically fails to preserve the multichannel spatial information required for accurate localization. To bridge this gap, we formulate the task of prompt-guided selectiv","authors_text":"Bowen Xing, Haizhou Li, Ivor W. Tsang, Xinyuan Qian, Xu-Cheng Yin, Yu Chen, Zexu Pan, Ziyang Jiang","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2026-07-02T15:49:10Z","title":"SelectTSL: Prompt-Guided Selective Target Sound Localization in Complex Scenarios"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.02343","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":"sha256:4d1b3420128a62f537988e0a7a9e004d793b3c9fab593323e61734b495436ad8","target":"record","created_at":"2026-07-03T01:17:48Z","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":"e1beb30cfdf8364fab129c323748049f062121ada40797702dcb304fa536a26a","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2026-07-02T15:49:10Z","title_canon_sha256":"3cc704430c9725f1de0ea3b5de8d3eb74450a3dd3eed3ce9e1a7000c3aae2c4b"},"schema_version":"1.0","source":{"id":"2607.02343","kind":"arxiv","version":1}},"canonical_sha256":"df16395d8f739051b035a9e94d818496e9424c25ab89e09433eff772df7099aa","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"df16395d8f739051b035a9e94d818496e9424c25ab89e09433eff772df7099aa","first_computed_at":"2026-07-03T01:17:48.964546Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-03T01:17:48.964546Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"aY3/nawO/xu6BcqMCZNONmhidan+wWuQLM46S5nueFvcCFWVHj5szUdvOaGDCqmAy3Y1ffHpk6gyxRd/UxBaBw==","signature_status":"signed_v1","signed_at":"2026-07-03T01:17:48.964972Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.02343","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4d1b3420128a62f537988e0a7a9e004d793b3c9fab593323e61734b495436ad8","sha256:9099814896c94d3d8455805768a49f6f058b74a51deacdcf2b484dc93c4ac72c"],"state_sha256":"22580b61ce6dbd96f898f34f358cc0eb4d95fbd67a7244f88a22e13b08fc4cef"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FoG6WH+usLqU0aZR6aZyRIkq+8X/OZ1yh92vHUteWrhLOh1DjqlKX+mVDaYPd1Emqlh883UetY97AWnVrxu8Cw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-04T06:16:44.751600Z","bundle_sha256":"e5cfb045b9130b1459211c05b3377d9cc4ab308c868b7fa6cf459be6342232d2"}}