{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2020:ED5R34WIBHLCV6YN33IUNPJA7M","short_pith_number":"pith:ED5R34WI","schema_version":"1.0","canonical_sha256":"20fb1df2c809d62afb0dded146bd20fb0bb1c6cd21a9db518ab54ae007909906","source":{"kind":"arxiv","id":"2002.07921","version":1},"attestation_state":"computed","paper":{"title":"MEM_GE: a new maximum entropy method for image reconstruction from solar X-ray visibilities","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["astro-ph.IM"],"primary_cat":"astro-ph.SR","authors_text":"A Kim Tolbert, Anna Maria Massone, Brian R Dennis, Federico Benvenuto, Michele Piana, Paolo Massa, Richard Schwartz","submitted_at":"2020-02-18T23:16:17Z","abstract_excerpt":"Maximum Entropy is an image reconstruction method conceived to image a sparsely occupied field of view and therefore particularly appropriate to achieve super-resolution effects. Although widely used in image deconvolution, this method has been formulated in radio astronomy for the analysis of observations in the spatial frequency domain, and an Interactive Data Language (IDL) code has been implemented for image reconstruction from solar X-ray Fourier data. However, this code relies on a non-convex formulation of the constrained optimization problem addressed by the Maximum Entropy approach an"},"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":"2002.07921","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.SR","submitted_at":"2020-02-18T23:16:17Z","cross_cats_sorted":["astro-ph.IM"],"title_canon_sha256":"c24d65bd9c47fa4306b7a65fe34af293e56efe57ae17ba3d6cb95f896a697c08","abstract_canon_sha256":"32d5c1a88a93302cfb3f617e614b60f2b57c71addd92d4e4d1f2a6766fddec75"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:02:10.737926Z","signature_b64":"KxI7Jur3FUx/vnwhrk3j36zeLwIrxARhXSB3U429/pb8y+zsllvQACVJvzMex9D6vyusPdv270tzDV61hXE+AQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"20fb1df2c809d62afb0dded146bd20fb0bb1c6cd21a9db518ab54ae007909906","last_reissued_at":"2026-07-05T01:02:10.737324Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:02:10.737324Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"MEM_GE: a new maximum entropy method for image reconstruction from solar X-ray visibilities","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["astro-ph.IM"],"primary_cat":"astro-ph.SR","authors_text":"A Kim Tolbert, Anna Maria Massone, Brian R Dennis, Federico Benvenuto, Michele Piana, Paolo Massa, Richard Schwartz","submitted_at":"2020-02-18T23:16:17Z","abstract_excerpt":"Maximum Entropy is an image reconstruction method conceived to image a sparsely occupied field of view and therefore particularly appropriate to achieve super-resolution effects. Although widely used in image deconvolution, this method has been formulated in radio astronomy for the analysis of observations in the spatial frequency domain, and an Interactive Data Language (IDL) code has been implemented for image reconstruction from solar X-ray Fourier data. However, this code relies on a non-convex formulation of the constrained optimization problem addressed by the Maximum Entropy approach an"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2002.07921","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/2002.07921/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":"2002.07921","created_at":"2026-07-05T01:02:10.737394+00:00"},{"alias_kind":"arxiv_version","alias_value":"2002.07921v1","created_at":"2026-07-05T01:02:10.737394+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2002.07921","created_at":"2026-07-05T01:02:10.737394+00:00"},{"alias_kind":"pith_short_12","alias_value":"ED5R34WIBHLC","created_at":"2026-07-05T01:02:10.737394+00:00"},{"alias_kind":"pith_short_16","alias_value":"ED5R34WIBHLCV6YN","created_at":"2026-07-05T01:02:10.737394+00:00"},{"alias_kind":"pith_short_8","alias_value":"ED5R34WI","created_at":"2026-07-05T01:02:10.737394+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2502.04769","citing_title":"Solar flares as electron accelerators: toward a resolution of the acceleration efficiency issue","ref_index":10,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/ED5R34WIBHLCV6YN33IUNPJA7M","json":"https://pith.science/pith/ED5R34WIBHLCV6YN33IUNPJA7M.json","graph_json":"https://pith.science/api/pith-number/ED5R34WIBHLCV6YN33IUNPJA7M/graph.json","events_json":"https://pith.science/api/pith-number/ED5R34WIBHLCV6YN33IUNPJA7M/events.json","paper":"https://pith.science/paper/ED5R34WI"},"agent_actions":{"view_html":"https://pith.science/pith/ED5R34WIBHLCV6YN33IUNPJA7M","download_json":"https://pith.science/pith/ED5R34WIBHLCV6YN33IUNPJA7M.json","view_paper":"https://pith.science/paper/ED5R34WI","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2002.07921&json=true","fetch_graph":"https://pith.science/api/pith-number/ED5R34WIBHLCV6YN33IUNPJA7M/graph.json","fetch_events":"https://pith.science/api/pith-number/ED5R34WIBHLCV6YN33IUNPJA7M/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ED5R34WIBHLCV6YN33IUNPJA7M/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ED5R34WIBHLCV6YN33IUNPJA7M/action/storage_attestation","attest_author":"https://pith.science/pith/ED5R34WIBHLCV6YN33IUNPJA7M/action/author_attestation","sign_citation":"https://pith.science/pith/ED5R34WIBHLCV6YN33IUNPJA7M/action/citation_signature","submit_replication":"https://pith.science/pith/ED5R34WIBHLCV6YN33IUNPJA7M/action/replication_record"}},"created_at":"2026-07-05T01:02:10.737394+00:00","updated_at":"2026-07-05T01:02:10.737394+00:00"}