{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:V5MARBRJFMBJ6PQQWS64HOYFK7","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":"3b53f3b0eeb7b6ab2627147390137e9a238de4fdeaf30c1f049b10a16364d271","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2021-03-29T08:29:26Z","title_canon_sha256":"ea06c602e355e76e366d96ed11315830f50f8b506cdf524faa21046941f2968a"},"schema_version":"1.0","source":{"id":"2103.15418","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2103.15418","created_at":"2026-07-05T03:03:39Z"},{"alias_kind":"arxiv_version","alias_value":"2103.15418v3","created_at":"2026-07-05T03:03:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2103.15418","created_at":"2026-07-05T03:03:39Z"},{"alias_kind":"pith_short_12","alias_value":"V5MARBRJFMBJ","created_at":"2026-07-05T03:03:39Z"},{"alias_kind":"pith_short_16","alias_value":"V5MARBRJFMBJ6PQQ","created_at":"2026-07-05T03:03:39Z"},{"alias_kind":"pith_short_8","alias_value":"V5MARBRJ","created_at":"2026-07-05T03:03:39Z"}],"graph_snapshots":[{"event_id":"sha256:155c1b6ee31fddcd1bc1e406b7cde1b5ad4d5b5f44a9c8f90451cd13d8b64c53","target":"graph","created_at":"2026-07-05T03:03:39Z","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/2103.15418/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present a methodology for automated real-time analysis of a radio image data stream with the goal to find transient sources. Contrary to previous works, the transients we are interested in occur on a time-scale where dispersion starts to play a role, so we must search a higher-dimensional data space and yet work fast enough to keep up with the data stream in real time. The approach consists of five main steps: quality control, source detection, association, flux measurement, and physical parameter inference. We present parallelized methods based on convolutions and filters that can be accel","authors_text":"Antonia Rowlinson, David Ruhe, Mark Kuiack, Patrick Forr\\'e, Ralph Wijers","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2021-03-29T08:29:26Z","title":"Detecting Dispersed Radio Transients in Real Time Using Convolutional Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2103.15418","kind":"arxiv","version":3},"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:f50516b6dd218dfb00ec3f89fcff1ba940c57844fc729ddd4c0272ec396ed1b4","target":"record","created_at":"2026-07-05T03:03:39Z","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":"3b53f3b0eeb7b6ab2627147390137e9a238de4fdeaf30c1f049b10a16364d271","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2021-03-29T08:29:26Z","title_canon_sha256":"ea06c602e355e76e366d96ed11315830f50f8b506cdf524faa21046941f2968a"},"schema_version":"1.0","source":{"id":"2103.15418","kind":"arxiv","version":3}},"canonical_sha256":"af580886292b029f3e10b4bdc3bb0557c973eb10443d70a62e922af4454c0e71","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"af580886292b029f3e10b4bdc3bb0557c973eb10443d70a62e922af4454c0e71","first_computed_at":"2026-07-05T03:03:39.936927Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:03:39.936927Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ogXztTaS9AeuAmcfGsjQ4KPDHWBTD1DybTJhS9ue6v+6Uzei7JrvZoNIHvBtWWi4a38uPJXSn05iwECZP1iWBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T03:03:39.937376Z","signed_message":"canonical_sha256_bytes"},"source_id":"2103.15418","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f50516b6dd218dfb00ec3f89fcff1ba940c57844fc729ddd4c0272ec396ed1b4","sha256:155c1b6ee31fddcd1bc1e406b7cde1b5ad4d5b5f44a9c8f90451cd13d8b64c53"],"state_sha256":"8d859a82b3b31a57daa0b0baeac626f793e05bbc269bd57d1142f3ada7b5921f"}