{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:NMADVMVVOHXBBN4GV7DNUIQ6AC","short_pith_number":"pith:NMADVMVV","canonical_record":{"source":{"id":"2207.11047","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"astro-ph.IM","submitted_at":"2022-07-22T12:38:34Z","cross_cats_sorted":[],"title_canon_sha256":"4318987ce637093a2e32a077ea646227b0f446d4d4e3118ef59ed81c8a442bc6","abstract_canon_sha256":"e43312cfdfe727470645f55e250c52f295ad157f90cbbc079ccbb0e58c452b23"},"schema_version":"1.0"},"canonical_sha256":"6b003ab2b571ee10b786afc6da221e00b75be0d5fee5a676bc304922208702e0","source":{"kind":"arxiv","id":"2207.11047","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2207.11047","created_at":"2026-07-05T04:42:43Z"},{"alias_kind":"arxiv_version","alias_value":"2207.11047v1","created_at":"2026-07-05T04:42:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2207.11047","created_at":"2026-07-05T04:42:43Z"},{"alias_kind":"pith_short_12","alias_value":"NMADVMVVOHXB","created_at":"2026-07-05T04:42:43Z"},{"alias_kind":"pith_short_16","alias_value":"NMADVMVVOHXBBN4G","created_at":"2026-07-05T04:42:43Z"},{"alias_kind":"pith_short_8","alias_value":"NMADVMVV","created_at":"2026-07-05T04:42:43Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:NMADVMVVOHXBBN4GV7DNUIQ6AC","target":"record","payload":{"canonical_record":{"source":{"id":"2207.11047","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"astro-ph.IM","submitted_at":"2022-07-22T12:38:34Z","cross_cats_sorted":[],"title_canon_sha256":"4318987ce637093a2e32a077ea646227b0f446d4d4e3118ef59ed81c8a442bc6","abstract_canon_sha256":"e43312cfdfe727470645f55e250c52f295ad157f90cbbc079ccbb0e58c452b23"},"schema_version":"1.0"},"canonical_sha256":"6b003ab2b571ee10b786afc6da221e00b75be0d5fee5a676bc304922208702e0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:42:43.093130Z","signature_b64":"fAO10l5PnMksa4xmvDOp3Xo7ZagLCY2KDsMbcZORKPt0Iwk/pyojXHpNelqfK3yDkoCF7gKhzjg/CvFImGefDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6b003ab2b571ee10b786afc6da221e00b75be0d5fee5a676bc304922208702e0","last_reissued_at":"2026-07-05T04:42:43.092778Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:42:43.092778Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2207.11047","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":"2026-07-05T04:42:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3Zcj9MpY6+IzRrdiBxHe9DC0bl/yYTz/mmTwUCsfAJohXH+ldu2VlXpzo6erD+Omudt2axWw59aCxTBqYbOJBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T00:56:17.118420Z"},"content_sha256":"e18b9a1306a32c7f1edfe8c393be10c98897259cafe89a3c9debc4ad6bc220e4","schema_version":"1.0","event_id":"sha256:e18b9a1306a32c7f1edfe8c393be10c98897259cafe89a3c9debc4ad6bc220e4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:NMADVMVVOHXBBN4GV7DNUIQ6AC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Flexible Spectro Interferometric modelling of OIFITS data with PMOIRED","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.IM","authors_text":"Antoine M\\'erand","submitted_at":"2022-07-22T12:38:34Z","abstract_excerpt":"Despite image reconstruction becoming more widespread when interpreting OIFITS Data, model fitting in u,v space often remains the best way to interpret data, either because of the sparsity of the data, or because a quantitative measurement needs to be done. PMOIRED, is a flexible Python library to visualize, manipulate and model OIFITS data using simple geometric models. The strength of PMOIRED resides in its capability to combine linearly various simple components to create complex scenes, while linking, constraining, and adding priors to fitted parameters. The code also enables grid search t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2207.11047","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/2207.11047/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":"2026-07-05T04:42:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EvtMC2dnZMdcSGhQzSVcyD6YfvrVlVCyV5YWYTtYe0+1xW5jPoJflJN62CATLi7io0Z4wVrJGsObp4ZyefoVCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T00:56:17.118806Z"},"content_sha256":"89c07e9e707f2e623daea890dbfb8dedcd4da694843a6f33dc3ede52884b6635","schema_version":"1.0","event_id":"sha256:89c07e9e707f2e623daea890dbfb8dedcd4da694843a6f33dc3ede52884b6635"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NMADVMVVOHXBBN4GV7DNUIQ6AC/bundle.json","state_url":"https://pith.science/pith/NMADVMVVOHXBBN4GV7DNUIQ6AC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NMADVMVVOHXBBN4GV7DNUIQ6AC/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":"2026-08-03T00:56:17Z","links":{"resolver":"https://pith.science/pith/NMADVMVVOHXBBN4GV7DNUIQ6AC","bundle":"https://pith.science/pith/NMADVMVVOHXBBN4GV7DNUIQ6AC/bundle.json","state":"https://pith.science/pith/NMADVMVVOHXBBN4GV7DNUIQ6AC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NMADVMVVOHXBBN4GV7DNUIQ6AC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:NMADVMVVOHXBBN4GV7DNUIQ6AC","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":"e43312cfdfe727470645f55e250c52f295ad157f90cbbc079ccbb0e58c452b23","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"astro-ph.IM","submitted_at":"2022-07-22T12:38:34Z","title_canon_sha256":"4318987ce637093a2e32a077ea646227b0f446d4d4e3118ef59ed81c8a442bc6"},"schema_version":"1.0","source":{"id":"2207.11047","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2207.11047","created_at":"2026-07-05T04:42:43Z"},{"alias_kind":"arxiv_version","alias_value":"2207.11047v1","created_at":"2026-07-05T04:42:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2207.11047","created_at":"2026-07-05T04:42:43Z"},{"alias_kind":"pith_short_12","alias_value":"NMADVMVVOHXB","created_at":"2026-07-05T04:42:43Z"},{"alias_kind":"pith_short_16","alias_value":"NMADVMVVOHXBBN4G","created_at":"2026-07-05T04:42:43Z"},{"alias_kind":"pith_short_8","alias_value":"NMADVMVV","created_at":"2026-07-05T04:42:43Z"}],"graph_snapshots":[{"event_id":"sha256:89c07e9e707f2e623daea890dbfb8dedcd4da694843a6f33dc3ede52884b6635","target":"graph","created_at":"2026-07-05T04:42:43Z","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/2207.11047/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Despite image reconstruction becoming more widespread when interpreting OIFITS Data, model fitting in u,v space often remains the best way to interpret data, either because of the sparsity of the data, or because a quantitative measurement needs to be done. PMOIRED, is a flexible Python library to visualize, manipulate and model OIFITS data using simple geometric models. The strength of PMOIRED resides in its capability to combine linearly various simple components to create complex scenes, while linking, constraining, and adding priors to fitted parameters. The code also enables grid search t","authors_text":"Antoine M\\'erand","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"astro-ph.IM","submitted_at":"2022-07-22T12:38:34Z","title":"Flexible Spectro Interferometric modelling of OIFITS data with PMOIRED"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2207.11047","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:e18b9a1306a32c7f1edfe8c393be10c98897259cafe89a3c9debc4ad6bc220e4","target":"record","created_at":"2026-07-05T04:42:43Z","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":"e43312cfdfe727470645f55e250c52f295ad157f90cbbc079ccbb0e58c452b23","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"astro-ph.IM","submitted_at":"2022-07-22T12:38:34Z","title_canon_sha256":"4318987ce637093a2e32a077ea646227b0f446d4d4e3118ef59ed81c8a442bc6"},"schema_version":"1.0","source":{"id":"2207.11047","kind":"arxiv","version":1}},"canonical_sha256":"6b003ab2b571ee10b786afc6da221e00b75be0d5fee5a676bc304922208702e0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6b003ab2b571ee10b786afc6da221e00b75be0d5fee5a676bc304922208702e0","first_computed_at":"2026-07-05T04:42:43.092778Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:42:43.092778Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"fAO10l5PnMksa4xmvDOp3Xo7ZagLCY2KDsMbcZORKPt0Iwk/pyojXHpNelqfK3yDkoCF7gKhzjg/CvFImGefDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T04:42:43.093130Z","signed_message":"canonical_sha256_bytes"},"source_id":"2207.11047","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e18b9a1306a32c7f1edfe8c393be10c98897259cafe89a3c9debc4ad6bc220e4","sha256:89c07e9e707f2e623daea890dbfb8dedcd4da694843a6f33dc3ede52884b6635"],"state_sha256":"28c6d888ab497e4e50998a39375622119985c885d25a494b3f0f2bafecf3d76b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8lNBjm78R05GYqtJoFit3aUc/ePeAjHpcVUY+xlyJ/aHmH5AjJnIHq/BEnIiwCqa/nKPoPR8j/0lSQpHz1xMDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T00:56:17.121599Z","bundle_sha256":"1212f66974ed7c24e0a5db07eb25bff8a2e1b1a1abfa1c542d091aefe78e3e2c"}}