{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:5VANXAP46Q2RYUSLECF54WCUEX","short_pith_number":"pith:5VANXAP4","schema_version":"1.0","canonical_sha256":"ed40db81fcf4351c524b208bde585425d5ace9d0cbe2276d454ba33270040312","source":{"kind":"arxiv","id":"2412.18259","version":2},"attestation_state":"computed","paper":{"title":"Compact Binary Coalescence Gravitational Wave Signals Counting and Separation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["astro-ph.HE","astro-ph.IM"],"primary_cat":"gr-qc","authors_text":"Peng Xu, Ruijun Shi, Tianyu Zhao, Yue Zhou, Zhixiang Ren, Zhoujian Cao","submitted_at":"2024-12-24T08:20:10Z","abstract_excerpt":"As next-generation gravitational-wave (GW) observatories approach unprecedented sensitivities, the need for robust methods to analyze increasingly complex, overlapping signals becomes ever more pressing. Existing matched-filtering approaches and deep-learning techniques can typically handle only one or two concurrent signals, offering limited adaptability to more varied and intricate superimposed waveforms. To overcome these constraints, we present the UnMixFormer, an attention-based architecture that not only identifies the unknown number of concurrent compact binary coalescence GW events but"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2412.18259","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"gr-qc","submitted_at":"2024-12-24T08:20:10Z","cross_cats_sorted":["astro-ph.HE","astro-ph.IM"],"title_canon_sha256":"52966a22e29640c90ddc1a4217ceba0d382c111cdccc0e6340edb9fd6071980f","abstract_canon_sha256":"8260a1f88326895920e2f6307eab234d04bf9d778179a85a19ade48397eb2bc3"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:02:15.547108Z","signature_b64":"mgf/IVL6x/EXgDivAWT7VH2Sh1j9d7xyu/nXjPNvKCqO+vP4i0gnLIN9FdEqcuVCPmeG+JKNsyGzMZwNWGRpCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ed40db81fcf4351c524b208bde585425d5ace9d0cbe2276d454ba33270040312","last_reissued_at":"2026-07-05T11:02:15.546650Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:02:15.546650Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Compact Binary Coalescence Gravitational Wave Signals Counting and Separation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["astro-ph.HE","astro-ph.IM"],"primary_cat":"gr-qc","authors_text":"Peng Xu, Ruijun Shi, Tianyu Zhao, Yue Zhou, Zhixiang Ren, Zhoujian Cao","submitted_at":"2024-12-24T08:20:10Z","abstract_excerpt":"As next-generation gravitational-wave (GW) observatories approach unprecedented sensitivities, the need for robust methods to analyze increasingly complex, overlapping signals becomes ever more pressing. Existing matched-filtering approaches and deep-learning techniques can typically handle only one or two concurrent signals, offering limited adaptability to more varied and intricate superimposed waveforms. To overcome these constraints, we present the UnMixFormer, an attention-based architecture that not only identifies the unknown number of concurrent compact binary coalescence GW events but"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.18259","kind":"arxiv","version":2},"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/2412.18259/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2412.18259","created_at":"2026-07-05T11:02:15.546709+00:00"},{"alias_kind":"arxiv_version","alias_value":"2412.18259v2","created_at":"2026-07-05T11:02:15.546709+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.18259","created_at":"2026-07-05T11:02:15.546709+00:00"},{"alias_kind":"pith_short_12","alias_value":"5VANXAP46Q2R","created_at":"2026-07-05T11:02:15.546709+00:00"},{"alias_kind":"pith_short_16","alias_value":"5VANXAP46Q2RYUSL","created_at":"2026-07-05T11:02:15.546709+00:00"},{"alias_kind":"pith_short_8","alias_value":"5VANXAP4","created_at":"2026-07-05T11:02:15.546709+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/5VANXAP46Q2RYUSLECF54WCUEX","json":"https://pith.science/pith/5VANXAP46Q2RYUSLECF54WCUEX.json","graph_json":"https://pith.science/api/pith-number/5VANXAP46Q2RYUSLECF54WCUEX/graph.json","events_json":"https://pith.science/api/pith-number/5VANXAP46Q2RYUSLECF54WCUEX/events.json","paper":"https://pith.science/paper/5VANXAP4"},"agent_actions":{"view_html":"https://pith.science/pith/5VANXAP46Q2RYUSLECF54WCUEX","download_json":"https://pith.science/pith/5VANXAP46Q2RYUSLECF54WCUEX.json","view_paper":"https://pith.science/paper/5VANXAP4","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2412.18259&json=true","fetch_graph":"https://pith.science/api/pith-number/5VANXAP46Q2RYUSLECF54WCUEX/graph.json","fetch_events":"https://pith.science/api/pith-number/5VANXAP46Q2RYUSLECF54WCUEX/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/5VANXAP46Q2RYUSLECF54WCUEX/action/timestamp_anchor","attest_storage":"https://pith.science/pith/5VANXAP46Q2RYUSLECF54WCUEX/action/storage_attestation","attest_author":"https://pith.science/pith/5VANXAP46Q2RYUSLECF54WCUEX/action/author_attestation","sign_citation":"https://pith.science/pith/5VANXAP46Q2RYUSLECF54WCUEX/action/citation_signature","submit_replication":"https://pith.science/pith/5VANXAP46Q2RYUSLECF54WCUEX/action/replication_record"}},"created_at":"2026-07-05T11:02:15.546709+00:00","updated_at":"2026-07-05T11:02:15.546709+00:00"}