{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:WKRRECWHIN6HFJ55RXJTAIXIYZ","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":"f35b36c0d736c95b853ff93cf417f730153917ce34a4289e6abf6bb47a959527","cross_cats_sorted":["astro-ph.HE"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"astro-ph.IM","submitted_at":"2024-10-04T07:30:38Z","title_canon_sha256":"7edbc70be2c5b1fbfb3d1419c4514734b13586ce43553740fbb3a608b4101549"},"schema_version":"1.0","source":{"id":"2410.03200","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.03200","created_at":"2026-07-05T09:15:46Z"},{"alias_kind":"arxiv_version","alias_value":"2410.03200v1","created_at":"2026-07-05T09:15:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.03200","created_at":"2026-07-05T09:15:46Z"},{"alias_kind":"pith_short_12","alias_value":"WKRRECWHIN6H","created_at":"2026-07-05T09:15:46Z"},{"alias_kind":"pith_short_16","alias_value":"WKRRECWHIN6HFJ55","created_at":"2026-07-05T09:15:46Z"},{"alias_kind":"pith_short_8","alias_value":"WKRRECWH","created_at":"2026-07-05T09:15:46Z"}],"graph_snapshots":[{"event_id":"sha256:aef0232f1c169b7a93933a1b5c60a938a2500f9f84e05f328744073a0d1c0fb3","target":"graph","created_at":"2026-07-05T09:15:46Z","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/2410.03200/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The detection of fast radio bursts (FRBs) in radio astronomy is a complex task due to the challenges posed by radio frequency interference (RFI) and signal dispersion in the interstellar medium. Traditional search algorithms are often inefficient, time-consuming, and generate a high number of false positives. In this paper, we present DRAFTS, a deep learning-based radio fast transient search pipeline. DRAFTS integrates object detection and binary classification techniques to accurately identify FRBs in radio data. We developed a large, real-world dataset of FRBs for training deep learning mode","authors_text":"Chao-Wei Tsai, Chen-Hui Niu, Di Li, Hua-Xi Chen, Pei Wang, Yi Feng, Yong-Kun Zhang, Yu-Hao Zhu","cross_cats":["astro-ph.HE"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"astro-ph.IM","submitted_at":"2024-10-04T07:30:38Z","title":"DRAFTS: A Deep Learning-Based Radio Fast Transient Search Pipeline"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.03200","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":"sha256:31ab715dcdfa23b55e196ac8634dfe2e7b1f32c74c26c1c042c023e58c407da9","target":"record","created_at":"2026-07-05T09:15:46Z","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":"f35b36c0d736c95b853ff93cf417f730153917ce34a4289e6abf6bb47a959527","cross_cats_sorted":["astro-ph.HE"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"astro-ph.IM","submitted_at":"2024-10-04T07:30:38Z","title_canon_sha256":"7edbc70be2c5b1fbfb3d1419c4514734b13586ce43553740fbb3a608b4101549"},"schema_version":"1.0","source":{"id":"2410.03200","kind":"arxiv","version":1}},"canonical_sha256":"b2a3120ac7437c72a7bd8dd33022e8c656ee53f0426487107c7ba73f38b0355b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b2a3120ac7437c72a7bd8dd33022e8c656ee53f0426487107c7ba73f38b0355b","first_computed_at":"2026-07-05T09:15:46.108565Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:15:46.108565Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"knW2lb1okvxn48yg4Hnn7CuugEdEgOrHjWnBGTk6KP4YKOei24vXyFcLujtd92sVwVMAF7IXxJQMNVKrkds2BQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:15:46.108963Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.03200","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:31ab715dcdfa23b55e196ac8634dfe2e7b1f32c74c26c1c042c023e58c407da9","sha256:aef0232f1c169b7a93933a1b5c60a938a2500f9f84e05f328744073a0d1c0fb3"],"state_sha256":"c50731e7c20b80773f743fd39577f76efda875858755b7a3f224ae316a949aa0"}