{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:4YFP3B6LZDYQYAFPGMUMAZHUAS","short_pith_number":"pith:4YFP3B6L","schema_version":"1.0","canonical_sha256":"e60afd87cbc8f10c00af3328c064f404a01c701f19c49dec499b15455f92b43a","source":{"kind":"arxiv","id":"2410.17168","version":1},"attestation_state":"computed","paper":{"title":"Incorporating waveform calibration error in gravitational-wave modeling and inference for SEOBNRv4","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"gr-qc","authors_text":"Michael P\\\"urrer, Ritesh Bachhar, Stephen R. Green","submitted_at":"2024-10-22T16:49:40Z","abstract_excerpt":"As gravitational wave (GW) detector networks continue to improve in sensitivity, the demand on the accuracy of waveform models which predict the GW signals from compact binary coalescences is becoming more stringent. At high signal-to-noise ratios (SNRs) discrepancies between waveform models and the true solutions of Einstein's equations can introduce significant systematic biases in parameter estimation (PE). These biases affect the inferred astrophysical properties, including matter effects, and can also lead to erroneous claims of deviations from general relativity, impacting the interpreta"},"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":"2410.17168","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"gr-qc","submitted_at":"2024-10-22T16:49:40Z","cross_cats_sorted":[],"title_canon_sha256":"dab3ea861fab9b2ee0803ab7e0d903bdfd5714dfcbba01353d3e0d4aa7372256","abstract_canon_sha256":"c4fa99ff7eeef458db5c22247d9db5364ee4e153ad9895d79f2fabf5194d4680"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:24:12.869167Z","signature_b64":"0HBupZolU6Mqjs9fAub0JIq27j2efGKf6rhKJFgtZD5+VFXHjH3XjkLpOWy7A7CP+/jVAFZ2LTDyO5vaLPEPDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e60afd87cbc8f10c00af3328c064f404a01c701f19c49dec499b15455f92b43a","last_reissued_at":"2026-07-05T09:24:12.868733Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:24:12.868733Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Incorporating waveform calibration error in gravitational-wave modeling and inference for SEOBNRv4","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"gr-qc","authors_text":"Michael P\\\"urrer, Ritesh Bachhar, Stephen R. Green","submitted_at":"2024-10-22T16:49:40Z","abstract_excerpt":"As gravitational wave (GW) detector networks continue to improve in sensitivity, the demand on the accuracy of waveform models which predict the GW signals from compact binary coalescences is becoming more stringent. At high signal-to-noise ratios (SNRs) discrepancies between waveform models and the true solutions of Einstein's equations can introduce significant systematic biases in parameter estimation (PE). These biases affect the inferred astrophysical properties, including matter effects, and can also lead to erroneous claims of deviations from general relativity, impacting the interpreta"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.17168","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/2410.17168/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":"2410.17168","created_at":"2026-07-05T09:24:12.868793+00:00"},{"alias_kind":"arxiv_version","alias_value":"2410.17168v1","created_at":"2026-07-05T09:24:12.868793+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.17168","created_at":"2026-07-05T09:24:12.868793+00:00"},{"alias_kind":"pith_short_12","alias_value":"4YFP3B6LZDYQ","created_at":"2026-07-05T09:24:12.868793+00:00"},{"alias_kind":"pith_short_16","alias_value":"4YFP3B6LZDYQYAFP","created_at":"2026-07-05T09:24:12.868793+00:00"},{"alias_kind":"pith_short_8","alias_value":"4YFP3B6L","created_at":"2026-07-05T09:24:12.868793+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":2,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2604.21859","citing_title":"Mitigating Systematic Errors in Parameter Estimation of Binary Black Hole Mergers in O1-O3 LIGO-Virgo Data","ref_index":74,"is_internal_anchor":false},{"citing_arxiv_id":"2604.21859","citing_title":"Mitigating Systematic Errors in Parameter Estimation of Binary Black Hole Mergers in O1-O3 LIGO-Virgo Data","ref_index":74,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/4YFP3B6LZDYQYAFPGMUMAZHUAS","json":"https://pith.science/pith/4YFP3B6LZDYQYAFPGMUMAZHUAS.json","graph_json":"https://pith.science/api/pith-number/4YFP3B6LZDYQYAFPGMUMAZHUAS/graph.json","events_json":"https://pith.science/api/pith-number/4YFP3B6LZDYQYAFPGMUMAZHUAS/events.json","paper":"https://pith.science/paper/4YFP3B6L"},"agent_actions":{"view_html":"https://pith.science/pith/4YFP3B6LZDYQYAFPGMUMAZHUAS","download_json":"https://pith.science/pith/4YFP3B6LZDYQYAFPGMUMAZHUAS.json","view_paper":"https://pith.science/paper/4YFP3B6L","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2410.17168&json=true","fetch_graph":"https://pith.science/api/pith-number/4YFP3B6LZDYQYAFPGMUMAZHUAS/graph.json","fetch_events":"https://pith.science/api/pith-number/4YFP3B6LZDYQYAFPGMUMAZHUAS/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/4YFP3B6LZDYQYAFPGMUMAZHUAS/action/timestamp_anchor","attest_storage":"https://pith.science/pith/4YFP3B6LZDYQYAFPGMUMAZHUAS/action/storage_attestation","attest_author":"https://pith.science/pith/4YFP3B6LZDYQYAFPGMUMAZHUAS/action/author_attestation","sign_citation":"https://pith.science/pith/4YFP3B6LZDYQYAFPGMUMAZHUAS/action/citation_signature","submit_replication":"https://pith.science/pith/4YFP3B6LZDYQYAFPGMUMAZHUAS/action/replication_record"}},"created_at":"2026-07-05T09:24:12.868793+00:00","updated_at":"2026-07-05T09:24:12.868793+00:00"}