{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:1998:6P4RFNZ5Q6JFQIUE4KEPZQGK23","short_pith_number":"pith:6P4RFNZ5","schema_version":"1.0","canonical_sha256":"f3f912b73d8792582284e288fcc0cad6faffc8b912d5379abb9a6bbf5e25a317","source":{"kind":"arxiv","id":"astro-ph/9811211","version":1},"attestation_state":"computed","paper":{"title":"COMPTEL skymapping: a new approach using parallel computing","license":"","headline":"","cross_cats":[],"primary_cat":"astro-ph","authors_text":"A. W. Strong, H. Bloemen, R. Diehl, V. Schoenfelder, W. Hermsen","submitted_at":"1998-11-13T10:25:20Z","abstract_excerpt":"Large-scale skymapping with COMPTEL using the full survey database presents challenging problems on account of the complex response and time-variable background. A new approach which attempts to address some of these problems is described, in which the information about each observation is preserved throughout the analysis. In this method, a maximum-entropy algorithm is used to determine image and background simultaneously. Because of the extreme computing requirements, the method has been implemented on a parallel computer, which brings large gains since the response computation is fully para"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"astro-ph/9811211","kind":"arxiv","version":1},"metadata":{"license":"","primary_cat":"astro-ph","submitted_at":"1998-11-13T10:25:20Z","cross_cats_sorted":[],"title_canon_sha256":"a55d11f129435f84de3f5df0a68f373b8fdbf672b9b7fff49ef6ffdc6ca3ab59","abstract_canon_sha256":"9c3259587253a4a890c231acb3dc8297eb9b90716ca7d71a1887f3ff6909fa50"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-04T14:49:11.371112Z","signature_b64":"Qm9sSdCfO7uA394tdOcQ43IOCekJY9d/xHqA2nMUpuUZKxTZn5/FLWwMChylTxr3XBrgogHBd2ZmUGxOV9hVAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f3f912b73d8792582284e288fcc0cad6faffc8b912d5379abb9a6bbf5e25a317","last_reissued_at":"2026-07-04T14:49:11.370717Z","signature_status":"signed_v1","first_computed_at":"2026-07-04T14:49:11.370717Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"COMPTEL skymapping: a new approach using parallel computing","license":"","headline":"","cross_cats":[],"primary_cat":"astro-ph","authors_text":"A. W. Strong, H. Bloemen, R. Diehl, V. Schoenfelder, W. Hermsen","submitted_at":"1998-11-13T10:25:20Z","abstract_excerpt":"Large-scale skymapping with COMPTEL using the full survey database presents challenging problems on account of the complex response and time-variable background. A new approach which attempts to address some of these problems is described, in which the information about each observation is preserved throughout the analysis. In this method, a maximum-entropy algorithm is used to determine image and background simultaneously. Because of the extreme computing requirements, the method has been implemented on a parallel computer, which brings large gains since the response computation is fully para"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"astro-ph/9811211","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/astro-ph/9811211/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"astro-ph/9811211","created_at":"2026-07-04T14:49:11.370773+00:00"},{"alias_kind":"arxiv_version","alias_value":"astro-ph/9811211v1","created_at":"2026-07-04T14:49:11.370773+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.astro-ph/9811211","created_at":"2026-07-04T14:49:11.370773+00:00"},{"alias_kind":"pith_short_12","alias_value":"6P4RFNZ5Q6JF","created_at":"2026-07-04T14:49:11.370773+00:00"},{"alias_kind":"pith_short_16","alias_value":"6P4RFNZ5Q6JFQIUE","created_at":"2026-07-04T14:49:11.370773+00:00"},{"alias_kind":"pith_short_8","alias_value":"6P4RFNZ5","created_at":"2026-07-04T14:49:11.370773+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2508.15891","citing_title":"Constraining light dark matter in vector-scalar portals with COSI and AMEGO-X","ref_index":60,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/6P4RFNZ5Q6JFQIUE4KEPZQGK23","json":"https://pith.science/pith/6P4RFNZ5Q6JFQIUE4KEPZQGK23.json","graph_json":"https://pith.science/api/pith-number/6P4RFNZ5Q6JFQIUE4KEPZQGK23/graph.json","events_json":"https://pith.science/api/pith-number/6P4RFNZ5Q6JFQIUE4KEPZQGK23/events.json","paper":"https://pith.science/paper/6P4RFNZ5"},"agent_actions":{"view_html":"https://pith.science/pith/6P4RFNZ5Q6JFQIUE4KEPZQGK23","download_json":"https://pith.science/pith/6P4RFNZ5Q6JFQIUE4KEPZQGK23.json","view_paper":"https://pith.science/paper/6P4RFNZ5","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=astro-ph/9811211&json=true","fetch_graph":"https://pith.science/api/pith-number/6P4RFNZ5Q6JFQIUE4KEPZQGK23/graph.json","fetch_events":"https://pith.science/api/pith-number/6P4RFNZ5Q6JFQIUE4KEPZQGK23/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/6P4RFNZ5Q6JFQIUE4KEPZQGK23/action/timestamp_anchor","attest_storage":"https://pith.science/pith/6P4RFNZ5Q6JFQIUE4KEPZQGK23/action/storage_attestation","attest_author":"https://pith.science/pith/6P4RFNZ5Q6JFQIUE4KEPZQGK23/action/author_attestation","sign_citation":"https://pith.science/pith/6P4RFNZ5Q6JFQIUE4KEPZQGK23/action/citation_signature","submit_replication":"https://pith.science/pith/6P4RFNZ5Q6JFQIUE4KEPZQGK23/action/replication_record"}},"created_at":"2026-07-04T14:49:11.370773+00:00","updated_at":"2026-07-04T14:49:11.370773+00:00"}