{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:CZAAV3AKMVVPR26J7UZTKM3RMT","short_pith_number":"pith:CZAAV3AK","canonical_record":{"source":{"id":"2008.03312","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2020-08-07T18:00:02Z","cross_cats_sorted":["gr-qc","stat.ML"],"title_canon_sha256":"a5a3f320ab12ceb31acdbcfc0357f69be5fae56ca9b720f135affdce697f67bf","abstract_canon_sha256":"62b7c9ab5f48778365e1e6e2650ed5363bff61d0771b9be1917a0b779dd474d8"},"schema_version":"1.0"},"canonical_sha256":"16400aec0a656af8ebc9fd3335337164cdff82084d6237fc7b748436acfea620","source":{"kind":"arxiv","id":"2008.03312","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2008.03312","created_at":"2026-07-05T01:25:40Z"},{"alias_kind":"arxiv_version","alias_value":"2008.03312v1","created_at":"2026-07-05T01:25:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2008.03312","created_at":"2026-07-05T01:25:40Z"},{"alias_kind":"pith_short_12","alias_value":"CZAAV3AKMVVP","created_at":"2026-07-05T01:25:40Z"},{"alias_kind":"pith_short_16","alias_value":"CZAAV3AKMVVPR26J","created_at":"2026-07-05T01:25:40Z"},{"alias_kind":"pith_short_8","alias_value":"CZAAV3AK","created_at":"2026-07-05T01:25:40Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:CZAAV3AKMVVPR26J7UZTKM3RMT","target":"record","payload":{"canonical_record":{"source":{"id":"2008.03312","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2020-08-07T18:00:02Z","cross_cats_sorted":["gr-qc","stat.ML"],"title_canon_sha256":"a5a3f320ab12ceb31acdbcfc0357f69be5fae56ca9b720f135affdce697f67bf","abstract_canon_sha256":"62b7c9ab5f48778365e1e6e2650ed5363bff61d0771b9be1917a0b779dd474d8"},"schema_version":"1.0"},"canonical_sha256":"16400aec0a656af8ebc9fd3335337164cdff82084d6237fc7b748436acfea620","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:25:40.538453Z","signature_b64":"85ZYxb5uJePNWWqw8SGhlBPv2dxMdpyIguy8uF5LkWR9AiwY5RyqD21PT/5GJzXK/oupTHkFVLF4jaNG3+BdDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"16400aec0a656af8ebc9fd3335337164cdff82084d6237fc7b748436acfea620","last_reissued_at":"2026-07-05T01:25:40.537961Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:25:40.537961Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2008.03312","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":"2026-07-05T01:25:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rBHZoPIo4SKLUMAuQRp59k0HcNEwEb3GArqbU61GT0sCB0v5NjfxM2DXDPuWaigbn5RnCtBPc9Ap6wQcGb3EAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T01:28:13.970114Z"},"content_sha256":"2966dff4ac87284f24fc7f1422e3888b62bac5734311180ba21340d2ccafe167","schema_version":"1.0","event_id":"sha256:2966dff4ac87284f24fc7f1422e3888b62bac5734311180ba21340d2ccafe167"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:CZAAV3AKMVVPR26J7UZTKM3RMT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Complete parameter inference for GW150914 using deep learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["gr-qc","stat.ML"],"primary_cat":"astro-ph.IM","authors_text":"Jonathan Gair, Stephen R. Green","submitted_at":"2020-08-07T18:00:02Z","abstract_excerpt":"The LIGO and Virgo gravitational-wave observatories have detected many exciting events over the past five years. As the rate of detections grows with detector sensitivity, this poses a growing computational challenge for data analysis. With this in mind, in this work we apply deep learning techniques to perform fast likelihood-free Bayesian inference for gravitational waves. We train a neural-network conditional density estimator to model posterior probability distributions over the full 15-dimensional space of binary black hole system parameters, given detector strain data from multiple detec"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2008.03312","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/2008.03312/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T01:25:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gO6mOszlaLE7xzpoVURIJqhNXKseaLeoc3jWTVviQtilIHAlfEtJ05xA4tvnJxq8yFKFU/HHAyvgXDKFpukuDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T01:28:13.970998Z"},"content_sha256":"091ea05ca3602a35d0cc671cbeb29c0413385913de865567636720ac331ca8ce","schema_version":"1.0","event_id":"sha256:091ea05ca3602a35d0cc671cbeb29c0413385913de865567636720ac331ca8ce"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CZAAV3AKMVVPR26J7UZTKM3RMT/bundle.json","state_url":"https://pith.science/pith/CZAAV3AKMVVPR26J7UZTKM3RMT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CZAAV3AKMVVPR26J7UZTKM3RMT/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":"2026-08-05T01:28:13Z","links":{"resolver":"https://pith.science/pith/CZAAV3AKMVVPR26J7UZTKM3RMT","bundle":"https://pith.science/pith/CZAAV3AKMVVPR26J7UZTKM3RMT/bundle.json","state":"https://pith.science/pith/CZAAV3AKMVVPR26J7UZTKM3RMT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CZAAV3AKMVVPR26J7UZTKM3RMT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:CZAAV3AKMVVPR26J7UZTKM3RMT","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":"62b7c9ab5f48778365e1e6e2650ed5363bff61d0771b9be1917a0b779dd474d8","cross_cats_sorted":["gr-qc","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2020-08-07T18:00:02Z","title_canon_sha256":"a5a3f320ab12ceb31acdbcfc0357f69be5fae56ca9b720f135affdce697f67bf"},"schema_version":"1.0","source":{"id":"2008.03312","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2008.03312","created_at":"2026-07-05T01:25:40Z"},{"alias_kind":"arxiv_version","alias_value":"2008.03312v1","created_at":"2026-07-05T01:25:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2008.03312","created_at":"2026-07-05T01:25:40Z"},{"alias_kind":"pith_short_12","alias_value":"CZAAV3AKMVVP","created_at":"2026-07-05T01:25:40Z"},{"alias_kind":"pith_short_16","alias_value":"CZAAV3AKMVVPR26J","created_at":"2026-07-05T01:25:40Z"},{"alias_kind":"pith_short_8","alias_value":"CZAAV3AK","created_at":"2026-07-05T01:25:40Z"}],"graph_snapshots":[{"event_id":"sha256:091ea05ca3602a35d0cc671cbeb29c0413385913de865567636720ac331ca8ce","target":"graph","created_at":"2026-07-05T01:25:40Z","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/2008.03312/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The LIGO and Virgo gravitational-wave observatories have detected many exciting events over the past five years. As the rate of detections grows with detector sensitivity, this poses a growing computational challenge for data analysis. With this in mind, in this work we apply deep learning techniques to perform fast likelihood-free Bayesian inference for gravitational waves. We train a neural-network conditional density estimator to model posterior probability distributions over the full 15-dimensional space of binary black hole system parameters, given detector strain data from multiple detec","authors_text":"Jonathan Gair, Stephen R. Green","cross_cats":["gr-qc","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2020-08-07T18:00:02Z","title":"Complete parameter inference for GW150914 using deep learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2008.03312","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":"sha256:2966dff4ac87284f24fc7f1422e3888b62bac5734311180ba21340d2ccafe167","target":"record","created_at":"2026-07-05T01:25:40Z","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":"62b7c9ab5f48778365e1e6e2650ed5363bff61d0771b9be1917a0b779dd474d8","cross_cats_sorted":["gr-qc","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2020-08-07T18:00:02Z","title_canon_sha256":"a5a3f320ab12ceb31acdbcfc0357f69be5fae56ca9b720f135affdce697f67bf"},"schema_version":"1.0","source":{"id":"2008.03312","kind":"arxiv","version":1}},"canonical_sha256":"16400aec0a656af8ebc9fd3335337164cdff82084d6237fc7b748436acfea620","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"16400aec0a656af8ebc9fd3335337164cdff82084d6237fc7b748436acfea620","first_computed_at":"2026-07-05T01:25:40.537961Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:25:40.537961Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"85ZYxb5uJePNWWqw8SGhlBPv2dxMdpyIguy8uF5LkWR9AiwY5RyqD21PT/5GJzXK/oupTHkFVLF4jaNG3+BdDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T01:25:40.538453Z","signed_message":"canonical_sha256_bytes"},"source_id":"2008.03312","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2966dff4ac87284f24fc7f1422e3888b62bac5734311180ba21340d2ccafe167","sha256:091ea05ca3602a35d0cc671cbeb29c0413385913de865567636720ac331ca8ce"],"state_sha256":"d2b5399ac951fdaebc2752a3b50362926810b22b656a30999e619476ab91dd48"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3yQydlwwBO/pqGqJaXGbPOU7yKJzPxY6wcX5wPu+X272QeODatBeZ+BpV7CHulNrG76ZSUAafjE50w80RnqQBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T01:28:13.981325Z","bundle_sha256":"0e73b05551c1dad6eb14ced295d46df92dc99fc4fef583ec7a48a5909fe4c59a"}}