{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:6MQ73ZIGQWSV34D7BBMOGLDKQW","short_pith_number":"pith:6MQ73ZIG","canonical_record":{"source":{"id":"2208.04575","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2022-08-09T07:31:10Z","cross_cats_sorted":["gr-qc"],"title_canon_sha256":"7370ca9126d2960b4b56e40e8ad6f5cb15d238564fa6abf5a86e7045a1652f03","abstract_canon_sha256":"bad0b5064c1e5f419e96d2997320111903eb5fbd8cdad3972238023a233301c3"},"schema_version":"1.0"},"canonical_sha256":"f321fde50685a55df07f0858e32c6a85ab87421860865fd10dc02a02264d2ca2","source":{"kind":"arxiv","id":"2208.04575","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2208.04575","created_at":"2026-07-05T05:37:07Z"},{"alias_kind":"arxiv_version","alias_value":"2208.04575v1","created_at":"2026-07-05T05:37:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2208.04575","created_at":"2026-07-05T05:37:07Z"},{"alias_kind":"pith_short_12","alias_value":"6MQ73ZIGQWSV","created_at":"2026-07-05T05:37:07Z"},{"alias_kind":"pith_short_16","alias_value":"6MQ73ZIGQWSV34D7","created_at":"2026-07-05T05:37:07Z"},{"alias_kind":"pith_short_8","alias_value":"6MQ73ZIG","created_at":"2026-07-05T05:37:07Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:6MQ73ZIGQWSV34D7BBMOGLDKQW","target":"record","payload":{"canonical_record":{"source":{"id":"2208.04575","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2022-08-09T07:31:10Z","cross_cats_sorted":["gr-qc"],"title_canon_sha256":"7370ca9126d2960b4b56e40e8ad6f5cb15d238564fa6abf5a86e7045a1652f03","abstract_canon_sha256":"bad0b5064c1e5f419e96d2997320111903eb5fbd8cdad3972238023a233301c3"},"schema_version":"1.0"},"canonical_sha256":"f321fde50685a55df07f0858e32c6a85ab87421860865fd10dc02a02264d2ca2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:37:07.244752Z","signature_b64":"mlZc/UQsfY95BzleuNsDDukl91eL6yNX/CNnuhgWccjxctk1VBl1AK+PtdgmT24UpYDZxLQ6uQeSY20oS3JWCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f321fde50685a55df07f0858e32c6a85ab87421860865fd10dc02a02264d2ca2","last_reissued_at":"2026-07-05T05:37:07.244271Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:37:07.244271Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2208.04575","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":"2026-07-05T05:37:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1nZI2bhyhnwCgZs0jndURa16QY95qK4PBLyEuIoFbkM4vpiR0v22dSdEUF+XMjdC4bxcTCake/B/MWJmuKZPBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T04:31:27.975587Z"},"content_sha256":"8845c74cfaa22302490c8b5ebeb824b6a4685840b03c228b5022cddc0739e1e4","schema_version":"1.0","event_id":"sha256:8845c74cfaa22302490c8b5ebeb824b6a4685840b03c228b5022cddc0739e1e4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:6MQ73ZIGQWSV34D7BBMOGLDKQW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Adaptive Kernel Density Estimation proposal in gravitational wave data analysis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["gr-qc"],"primary_cat":"astro-ph.IM","authors_text":"Maude Le Jeune, Mikel Falxa, Stanislav Babak","submitted_at":"2022-08-09T07:31:10Z","abstract_excerpt":"Markov Chain Monte Carlo approach is frequently used within Bayesian framework to sample the target posterior distribution. Its efficiency strongly depends on the proposal used to build the chain. The best jump proposal is the one that closely resembles the unknown target distribution, therefore we suggest an adaptive proposal based on Kernel Density Estimation (KDE). We group parameters of the model according to their correlation and build KDE based on the already accepted points for each group. We adapt the KDE-based proposal until it stabilizes. We argue that such a proposal could be helpfu"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2208.04575","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/2208.04575/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":"2026-07-05T05:37:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"B0qDDC8hdCG6qEP66NllnhP8wGtXNtL0HzdKOPeNKa1CDZO39+VOguT+fU81vz4WAtYAwPsTP3IPq4OeDYABDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T04:31:27.976120Z"},"content_sha256":"27d0c50a6c908c0e9193495b70d36231525ff96e744db52777125c00a19e44f3","schema_version":"1.0","event_id":"sha256:27d0c50a6c908c0e9193495b70d36231525ff96e744db52777125c00a19e44f3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6MQ73ZIGQWSV34D7BBMOGLDKQW/bundle.json","state_url":"https://pith.science/pith/6MQ73ZIGQWSV34D7BBMOGLDKQW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6MQ73ZIGQWSV34D7BBMOGLDKQW/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":"2026-08-17T04:31:27Z","links":{"resolver":"https://pith.science/pith/6MQ73ZIGQWSV34D7BBMOGLDKQW","bundle":"https://pith.science/pith/6MQ73ZIGQWSV34D7BBMOGLDKQW/bundle.json","state":"https://pith.science/pith/6MQ73ZIGQWSV34D7BBMOGLDKQW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6MQ73ZIGQWSV34D7BBMOGLDKQW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:6MQ73ZIGQWSV34D7BBMOGLDKQW","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":"bad0b5064c1e5f419e96d2997320111903eb5fbd8cdad3972238023a233301c3","cross_cats_sorted":["gr-qc"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2022-08-09T07:31:10Z","title_canon_sha256":"7370ca9126d2960b4b56e40e8ad6f5cb15d238564fa6abf5a86e7045a1652f03"},"schema_version":"1.0","source":{"id":"2208.04575","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2208.04575","created_at":"2026-07-05T05:37:07Z"},{"alias_kind":"arxiv_version","alias_value":"2208.04575v1","created_at":"2026-07-05T05:37:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2208.04575","created_at":"2026-07-05T05:37:07Z"},{"alias_kind":"pith_short_12","alias_value":"6MQ73ZIGQWSV","created_at":"2026-07-05T05:37:07Z"},{"alias_kind":"pith_short_16","alias_value":"6MQ73ZIGQWSV34D7","created_at":"2026-07-05T05:37:07Z"},{"alias_kind":"pith_short_8","alias_value":"6MQ73ZIG","created_at":"2026-07-05T05:37:07Z"}],"graph_snapshots":[{"event_id":"sha256:27d0c50a6c908c0e9193495b70d36231525ff96e744db52777125c00a19e44f3","target":"graph","created_at":"2026-07-05T05:37:07Z","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/2208.04575/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Markov Chain Monte Carlo approach is frequently used within Bayesian framework to sample the target posterior distribution. Its efficiency strongly depends on the proposal used to build the chain. The best jump proposal is the one that closely resembles the unknown target distribution, therefore we suggest an adaptive proposal based on Kernel Density Estimation (KDE). We group parameters of the model according to their correlation and build KDE based on the already accepted points for each group. We adapt the KDE-based proposal until it stabilizes. We argue that such a proposal could be helpfu","authors_text":"Maude Le Jeune, Mikel Falxa, Stanislav Babak","cross_cats":["gr-qc"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2022-08-09T07:31:10Z","title":"Adaptive Kernel Density Estimation proposal in gravitational wave data analysis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2208.04575","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":"sha256:8845c74cfaa22302490c8b5ebeb824b6a4685840b03c228b5022cddc0739e1e4","target":"record","created_at":"2026-07-05T05:37:07Z","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":"bad0b5064c1e5f419e96d2997320111903eb5fbd8cdad3972238023a233301c3","cross_cats_sorted":["gr-qc"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2022-08-09T07:31:10Z","title_canon_sha256":"7370ca9126d2960b4b56e40e8ad6f5cb15d238564fa6abf5a86e7045a1652f03"},"schema_version":"1.0","source":{"id":"2208.04575","kind":"arxiv","version":1}},"canonical_sha256":"f321fde50685a55df07f0858e32c6a85ab87421860865fd10dc02a02264d2ca2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f321fde50685a55df07f0858e32c6a85ab87421860865fd10dc02a02264d2ca2","first_computed_at":"2026-07-05T05:37:07.244271Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:37:07.244271Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mlZc/UQsfY95BzleuNsDDukl91eL6yNX/CNnuhgWccjxctk1VBl1AK+PtdgmT24UpYDZxLQ6uQeSY20oS3JWCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T05:37:07.244752Z","signed_message":"canonical_sha256_bytes"},"source_id":"2208.04575","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8845c74cfaa22302490c8b5ebeb824b6a4685840b03c228b5022cddc0739e1e4","sha256:27d0c50a6c908c0e9193495b70d36231525ff96e744db52777125c00a19e44f3"],"state_sha256":"2b9be1f0b8633a6945fd8226370313524649261886ea6f0ce11876da17f741bb"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IdPN4ujFAk9reLyItZ3Cnp1l9xdQaSHHqtra0ge48DVsiEu7ihA4lehKNznt7F4eg0190ubyFxrtPuHM5Ai4Cg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-17T04:31:27.981836Z","bundle_sha256":"2923d06b836131acac3774d4faaf728421944cc2453342948b9e3ae53e819411"}}