{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:VFUBMS4EJLHYIRJEPDVHJA3TSE","short_pith_number":"pith:VFUBMS4E","canonical_record":{"source":{"id":"1803.03084","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2018-03-08T13:42:15Z","cross_cats_sorted":["astro-ph.HE"],"title_canon_sha256":"5219784584467ef95d4c0ef43b018a678272506d49c68d7c0a2ffefb724d0e1e","abstract_canon_sha256":"8534469e41a09465c4c5bffeae0d8fa3b7ed46afeb13c46893faca7b731d9187"},"schema_version":"1.0"},"canonical_sha256":"a968164b844acf84452478ea748373911fba6dca9e4bcf9e7d5eb31bee636d96","source":{"kind":"arxiv","id":"1803.03084","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1803.03084","created_at":"2026-05-17T23:59:53Z"},{"alias_kind":"arxiv_version","alias_value":"1803.03084v1","created_at":"2026-05-17T23:59:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1803.03084","created_at":"2026-05-17T23:59:53Z"},{"alias_kind":"pith_short_12","alias_value":"VFUBMS4EJLHY","created_at":"2026-05-18T12:32:59Z"},{"alias_kind":"pith_short_16","alias_value":"VFUBMS4EJLHYIRJE","created_at":"2026-05-18T12:32:59Z"},{"alias_kind":"pith_short_8","alias_value":"VFUBMS4E","created_at":"2026-05-18T12:32:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:VFUBMS4EJLHYIRJEPDVHJA3TSE","target":"record","payload":{"canonical_record":{"source":{"id":"1803.03084","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2018-03-08T13:42:15Z","cross_cats_sorted":["astro-ph.HE"],"title_canon_sha256":"5219784584467ef95d4c0ef43b018a678272506d49c68d7c0a2ffefb724d0e1e","abstract_canon_sha256":"8534469e41a09465c4c5bffeae0d8fa3b7ed46afeb13c46893faca7b731d9187"},"schema_version":"1.0"},"canonical_sha256":"a968164b844acf84452478ea748373911fba6dca9e4bcf9e7d5eb31bee636d96","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:59:53.097040Z","signature_b64":"y63eGYAFwwX3LkaeZeURW9Acl00sRQXEMNwwgbQv4z+49SY10qHNDUk1Ap/XBbAn/pR00wfEiSzDpduyq1VLDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a968164b844acf84452478ea748373911fba6dca9e4bcf9e7d5eb31bee636d96","last_reissued_at":"2026-05-17T23:59:53.096490Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:59:53.096490Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1803.03084","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":"2026-05-17T23:59:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OCKsXOWjWFKE2X2zWNeNP+7EhnNe/OdoawLpGTHYLv+g1wX5lefSbsUbRpVi+9y4ZVTtxO5maVhs9jGIHkQKBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T03:48:52.771874Z"},"content_sha256":"30393d4a8114b13e3200fca3fb8653612d0a05c20225a0a4480f2892f15b3071","schema_version":"1.0","event_id":"sha256:30393d4a8114b13e3200fca3fb8653612d0a05c20225a0a4480f2892f15b3071"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:VFUBMS4EJLHYIRJEPDVHJA3TSE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Applying Deep Learning to Fast Radio Burst Classification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["astro-ph.HE"],"primary_cat":"astro-ph.IM","authors_text":"Joeri van Leeuwen, Liam Connor","submitted_at":"2018-03-08T13:42:15Z","abstract_excerpt":"Upcoming Fast Radio Burst (FRB) surveys will search $\\sim$10\\,$^3$ beams on sky with very high duty cycle, generating large numbers of single-pulse candidates. The abundance of false positives presents an intractable problem if candidates are to be inspected by eye, making it a good application for artificial intelligence (AI). We apply deep learning to single pulse classification and develop a hierarchical framework for ranking events by their probability of being true astrophysical transients. We construct a tree-like deep neural network (DNN) that takes multiple or individual data products "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1803.03084","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":""},"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":"2026-05-17T23:59:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MMBBL0hqDdAecVx60NFAg9D8ii+rkk/ZkNYe8ny9ZEnAdRnijt8DENerU37Y7Gbz5XW91Qj1msmoEoK5ZM/8Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T03:48:52.772289Z"},"content_sha256":"b51b09436e141906f632c736505635aaaf07357d7535e7817fb2b81b88917b0a","schema_version":"1.0","event_id":"sha256:b51b09436e141906f632c736505635aaaf07357d7535e7817fb2b81b88917b0a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VFUBMS4EJLHYIRJEPDVHJA3TSE/bundle.json","state_url":"https://pith.science/pith/VFUBMS4EJLHYIRJEPDVHJA3TSE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VFUBMS4EJLHYIRJEPDVHJA3TSE/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":"2026-08-05T03:48:52Z","links":{"resolver":"https://pith.science/pith/VFUBMS4EJLHYIRJEPDVHJA3TSE","bundle":"https://pith.science/pith/VFUBMS4EJLHYIRJEPDVHJA3TSE/bundle.json","state":"https://pith.science/pith/VFUBMS4EJLHYIRJEPDVHJA3TSE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VFUBMS4EJLHYIRJEPDVHJA3TSE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:VFUBMS4EJLHYIRJEPDVHJA3TSE","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":"8534469e41a09465c4c5bffeae0d8fa3b7ed46afeb13c46893faca7b731d9187","cross_cats_sorted":["astro-ph.HE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2018-03-08T13:42:15Z","title_canon_sha256":"5219784584467ef95d4c0ef43b018a678272506d49c68d7c0a2ffefb724d0e1e"},"schema_version":"1.0","source":{"id":"1803.03084","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1803.03084","created_at":"2026-05-17T23:59:53Z"},{"alias_kind":"arxiv_version","alias_value":"1803.03084v1","created_at":"2026-05-17T23:59:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1803.03084","created_at":"2026-05-17T23:59:53Z"},{"alias_kind":"pith_short_12","alias_value":"VFUBMS4EJLHY","created_at":"2026-05-18T12:32:59Z"},{"alias_kind":"pith_short_16","alias_value":"VFUBMS4EJLHYIRJE","created_at":"2026-05-18T12:32:59Z"},{"alias_kind":"pith_short_8","alias_value":"VFUBMS4E","created_at":"2026-05-18T12:32:59Z"}],"graph_snapshots":[{"event_id":"sha256:b51b09436e141906f632c736505635aaaf07357d7535e7817fb2b81b88917b0a","target":"graph","created_at":"2026-05-17T23:59:53Z","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"},"paper":{"abstract_excerpt":"Upcoming Fast Radio Burst (FRB) surveys will search $\\sim$10\\,$^3$ beams on sky with very high duty cycle, generating large numbers of single-pulse candidates. The abundance of false positives presents an intractable problem if candidates are to be inspected by eye, making it a good application for artificial intelligence (AI). We apply deep learning to single pulse classification and develop a hierarchical framework for ranking events by their probability of being true astrophysical transients. We construct a tree-like deep neural network (DNN) that takes multiple or individual data products ","authors_text":"Joeri van Leeuwen, Liam Connor","cross_cats":["astro-ph.HE"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2018-03-08T13:42:15Z","title":"Applying Deep Learning to Fast Radio Burst Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1803.03084","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":"sha256:30393d4a8114b13e3200fca3fb8653612d0a05c20225a0a4480f2892f15b3071","target":"record","created_at":"2026-05-17T23:59:53Z","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":"8534469e41a09465c4c5bffeae0d8fa3b7ed46afeb13c46893faca7b731d9187","cross_cats_sorted":["astro-ph.HE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2018-03-08T13:42:15Z","title_canon_sha256":"5219784584467ef95d4c0ef43b018a678272506d49c68d7c0a2ffefb724d0e1e"},"schema_version":"1.0","source":{"id":"1803.03084","kind":"arxiv","version":1}},"canonical_sha256":"a968164b844acf84452478ea748373911fba6dca9e4bcf9e7d5eb31bee636d96","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a968164b844acf84452478ea748373911fba6dca9e4bcf9e7d5eb31bee636d96","first_computed_at":"2026-05-17T23:59:53.096490Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:59:53.096490Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"y63eGYAFwwX3LkaeZeURW9Acl00sRQXEMNwwgbQv4z+49SY10qHNDUk1Ap/XBbAn/pR00wfEiSzDpduyq1VLDw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:59:53.097040Z","signed_message":"canonical_sha256_bytes"},"source_id":"1803.03084","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:30393d4a8114b13e3200fca3fb8653612d0a05c20225a0a4480f2892f15b3071","sha256:b51b09436e141906f632c736505635aaaf07357d7535e7817fb2b81b88917b0a"],"state_sha256":"0d4fd5894cd24b3b0bc229646d73f096f7d8bd45c6fbe9ae25af2a257efde27b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TjAsVMNhh3ERnxePSEDBKppAe/dBh58pagIMzweqbl6cdy3pj0j00xvBW9Jt9YqI7wefCV4YOo2EIZjYd4MtDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T03:48:52.776726Z","bundle_sha256":"307f85ff9f1954391f8f01a34bbd6f60f0f2fb9354a8251ef9503a2e49953363"}}