{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2009:7I7V2PEVG3L77UA4KMHQPJAN77","short_pith_number":"pith:7I7V2PEV","canonical_record":{"source":{"id":"0903.0622","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2009-03-03T21:11:09Z","cross_cats_sorted":["astro-ph.CO"],"title_canon_sha256":"a0eb76ad24a1a617d00414647a59d2f7eaa435fccfe78578337e6656775de5cb","abstract_canon_sha256":"d1e0dd2c07f9d0be2206b0d06feaab9722c85a8e43033a20342706ddd6faae8a"},"schema_version":"1.0"},"canonical_sha256":"fa3f5d3c9536d7ffd01c530f07a40dffed0095a62174d655e688ae4136e1a21a","source":{"kind":"arxiv","id":"0903.0622","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"0903.0622","created_at":"2026-05-18T04:29:16Z"},{"alias_kind":"arxiv_version","alias_value":"0903.0622v1","created_at":"2026-05-18T04:29:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.0903.0622","created_at":"2026-05-18T04:29:16Z"},{"alias_kind":"pith_short_12","alias_value":"7I7V2PEVG3L7","created_at":"2026-05-18T12:25:58Z"},{"alias_kind":"pith_short_16","alias_value":"7I7V2PEVG3L77UA4","created_at":"2026-05-18T12:25:58Z"},{"alias_kind":"pith_short_8","alias_value":"7I7V2PEV","created_at":"2026-05-18T12:25:58Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2009:7I7V2PEVG3L77UA4KMHQPJAN77","target":"record","payload":{"canonical_record":{"source":{"id":"0903.0622","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2009-03-03T21:11:09Z","cross_cats_sorted":["astro-ph.CO"],"title_canon_sha256":"a0eb76ad24a1a617d00414647a59d2f7eaa435fccfe78578337e6656775de5cb","abstract_canon_sha256":"d1e0dd2c07f9d0be2206b0d06feaab9722c85a8e43033a20342706ddd6faae8a"},"schema_version":"1.0"},"canonical_sha256":"fa3f5d3c9536d7ffd01c530f07a40dffed0095a62174d655e688ae4136e1a21a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T04:29:16.190421Z","signature_b64":"fnu4Y1DFdT1y9B7mxZVLdrNt1bSf9U6gQUyBj/KkS+D9HVTUs420xdyGS09FwiBsahUjvqWp8GoDQzi7QmrGBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fa3f5d3c9536d7ffd01c530f07a40dffed0095a62174d655e688ae4136e1a21a","last_reissued_at":"2026-05-18T04:29:16.189991Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T04:29:16.189991Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"0903.0622","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":"2026-05-18T04:29:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Q3xgJX+Zg8OhrVey9pCgE3SceFbXqa/Hn40YvzMB8l5RQBTe0M9Qk6CYFzkOo9AvtSAOAotKXYee/5atjnKMDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-26T10:42:15.253336Z"},"content_sha256":"260bc11cf6458445b4cbacf8b90b5190475fbf1dc67fb910220d69e88c175494","schema_version":"1.0","event_id":"sha256:260bc11cf6458445b4cbacf8b90b5190475fbf1dc67fb910220d69e88c175494"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2009:7I7V2PEVG3L77UA4KMHQPJAN77","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"BayesCLUMPY: Bayesian Inference with Clumpy Dusty Torus Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["astro-ph.CO"],"primary_cat":"astro-ph.IM","authors_text":"A. Asensio Ramos (IAC), C. Ramos Almeida (IAC)","submitted_at":"2009-03-03T21:11:09Z","abstract_excerpt":"Our aim is to present a fast and general Bayesian inference framework based on the synergy between machine learning techniques and standard sampling methods and apply it to infer the physical properties of clumpy dusty torus using infrared photometric high spatial resolution observations of active galactic nuclei. We make use of the Metropolis-Hastings Markov Chain Monte Carlo algorithm for sampling the posterior distribution function. Such distribution results from combining all a-priori knowledge about the parameters of the model and the information introduced by the observations. The main d"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"0903.0622","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":"2026-05-18T04:29:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dJBYuhueQOD/CS9eFeM91uMUVxpOzZYKST0KI1cjiV/vb4ZznvgO1xUKnaoijrWM9h9yDG6z+i3Fd3Ww+8jBBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-26T10:42:15.253692Z"},"content_sha256":"193688cde0db54f0cb684a783a77e1680d1cf71a918a39da50141be874ee9d0f","schema_version":"1.0","event_id":"sha256:193688cde0db54f0cb684a783a77e1680d1cf71a918a39da50141be874ee9d0f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7I7V2PEVG3L77UA4KMHQPJAN77/bundle.json","state_url":"https://pith.science/pith/7I7V2PEVG3L77UA4KMHQPJAN77/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7I7V2PEVG3L77UA4KMHQPJAN77/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":"2026-06-26T10:42:15Z","links":{"resolver":"https://pith.science/pith/7I7V2PEVG3L77UA4KMHQPJAN77","bundle":"https://pith.science/pith/7I7V2PEVG3L77UA4KMHQPJAN77/bundle.json","state":"https://pith.science/pith/7I7V2PEVG3L77UA4KMHQPJAN77/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7I7V2PEVG3L77UA4KMHQPJAN77/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2009:7I7V2PEVG3L77UA4KMHQPJAN77","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":"d1e0dd2c07f9d0be2206b0d06feaab9722c85a8e43033a20342706ddd6faae8a","cross_cats_sorted":["astro-ph.CO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2009-03-03T21:11:09Z","title_canon_sha256":"a0eb76ad24a1a617d00414647a59d2f7eaa435fccfe78578337e6656775de5cb"},"schema_version":"1.0","source":{"id":"0903.0622","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"0903.0622","created_at":"2026-05-18T04:29:16Z"},{"alias_kind":"arxiv_version","alias_value":"0903.0622v1","created_at":"2026-05-18T04:29:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.0903.0622","created_at":"2026-05-18T04:29:16Z"},{"alias_kind":"pith_short_12","alias_value":"7I7V2PEVG3L7","created_at":"2026-05-18T12:25:58Z"},{"alias_kind":"pith_short_16","alias_value":"7I7V2PEVG3L77UA4","created_at":"2026-05-18T12:25:58Z"},{"alias_kind":"pith_short_8","alias_value":"7I7V2PEV","created_at":"2026-05-18T12:25:58Z"}],"graph_snapshots":[{"event_id":"sha256:193688cde0db54f0cb684a783a77e1680d1cf71a918a39da50141be874ee9d0f","target":"graph","created_at":"2026-05-18T04:29:16Z","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":"Our aim is to present a fast and general Bayesian inference framework based on the synergy between machine learning techniques and standard sampling methods and apply it to infer the physical properties of clumpy dusty torus using infrared photometric high spatial resolution observations of active galactic nuclei. We make use of the Metropolis-Hastings Markov Chain Monte Carlo algorithm for sampling the posterior distribution function. Such distribution results from combining all a-priori knowledge about the parameters of the model and the information introduced by the observations. The main d","authors_text":"A. Asensio Ramos (IAC), C. Ramos Almeida (IAC)","cross_cats":["astro-ph.CO"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2009-03-03T21:11:09Z","title":"BayesCLUMPY: Bayesian Inference with Clumpy Dusty Torus Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"0903.0622","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":"sha256:260bc11cf6458445b4cbacf8b90b5190475fbf1dc67fb910220d69e88c175494","target":"record","created_at":"2026-05-18T04:29:16Z","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":"d1e0dd2c07f9d0be2206b0d06feaab9722c85a8e43033a20342706ddd6faae8a","cross_cats_sorted":["astro-ph.CO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2009-03-03T21:11:09Z","title_canon_sha256":"a0eb76ad24a1a617d00414647a59d2f7eaa435fccfe78578337e6656775de5cb"},"schema_version":"1.0","source":{"id":"0903.0622","kind":"arxiv","version":1}},"canonical_sha256":"fa3f5d3c9536d7ffd01c530f07a40dffed0095a62174d655e688ae4136e1a21a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fa3f5d3c9536d7ffd01c530f07a40dffed0095a62174d655e688ae4136e1a21a","first_computed_at":"2026-05-18T04:29:16.189991Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T04:29:16.189991Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"fnu4Y1DFdT1y9B7mxZVLdrNt1bSf9U6gQUyBj/KkS+D9HVTUs420xdyGS09FwiBsahUjvqWp8GoDQzi7QmrGBQ==","signature_status":"signed_v1","signed_at":"2026-05-18T04:29:16.190421Z","signed_message":"canonical_sha256_bytes"},"source_id":"0903.0622","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:260bc11cf6458445b4cbacf8b90b5190475fbf1dc67fb910220d69e88c175494","sha256:193688cde0db54f0cb684a783a77e1680d1cf71a918a39da50141be874ee9d0f"],"state_sha256":"c19083029d990dcbbc2373d6dff48247785eca90985ac3c24e661cccc948ac9a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1uEkUJvTG34XjzWh3YJ7yzeBSSM41ya3Sa6MJpI0V/vEpgR8PE3b2g1tbyGv3M1ulOYcyUgoVHIfspm+HEzCBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-26T10:42:15.255719Z","bundle_sha256":"70710c8bbadacb832ee54f0c05d5453ddb3fdf2bb1171c1005d7960616559c75"}}