{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2015:PE237VKHZ7LME3LNUG2UH5VHQH","short_pith_number":"pith:PE237VKH","canonical_record":{"source":{"id":"1502.05037","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2015-02-17T06:17:55Z","cross_cats_sorted":[],"title_canon_sha256":"87a0279e2e32da719c1e4348df7a7516df914596f77dfbec782dc81a5ca12bb0","abstract_canon_sha256":"efabdf1e07a3ce44bbae614077991ea39c0184dba0b6355917614a1f9f48ab0e"},"schema_version":"1.0"},"canonical_sha256":"7935bfd547cfd6c26d6da1b543f6a781f76fdba7974f9659a8a1330ec1e03660","source":{"kind":"arxiv","id":"1502.05037","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1502.05037","created_at":"2026-05-18T02:26:52Z"},{"alias_kind":"arxiv_version","alias_value":"1502.05037v1","created_at":"2026-05-18T02:26:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1502.05037","created_at":"2026-05-18T02:26:52Z"},{"alias_kind":"pith_short_12","alias_value":"PE237VKHZ7LM","created_at":"2026-05-18T12:29:37Z"},{"alias_kind":"pith_short_16","alias_value":"PE237VKHZ7LME3LN","created_at":"2026-05-18T12:29:37Z"},{"alias_kind":"pith_short_8","alias_value":"PE237VKH","created_at":"2026-05-18T12:29:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2015:PE237VKHZ7LME3LNUG2UH5VHQH","target":"record","payload":{"canonical_record":{"source":{"id":"1502.05037","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2015-02-17T06:17:55Z","cross_cats_sorted":[],"title_canon_sha256":"87a0279e2e32da719c1e4348df7a7516df914596f77dfbec782dc81a5ca12bb0","abstract_canon_sha256":"efabdf1e07a3ce44bbae614077991ea39c0184dba0b6355917614a1f9f48ab0e"},"schema_version":"1.0"},"canonical_sha256":"7935bfd547cfd6c26d6da1b543f6a781f76fdba7974f9659a8a1330ec1e03660","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:26:52.502131Z","signature_b64":"/9/GCn9Nlhgv8YvzDO7hJM1grVV0wL5nZO/Nyp56pbbKJLwLh9BPKP6SsG6Lkk6lMwo8K9t8iEBBu4UZp/OEDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7935bfd547cfd6c26d6da1b543f6a781f76fdba7974f9659a8a1330ec1e03660","last_reissued_at":"2026-05-18T02:26:52.501607Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:26:52.501607Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1502.05037","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":"2026-05-18T02:26:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SbEwMCDEESanoWIJMM5JhRiqkVKzmuQNZ1fRR33aj5PO9cmvZFQnwTg6g7apMShpjbtdzveFAH0ucYPWRGdOAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T13:58:35.811905Z"},"content_sha256":"7cbb24a6808bbc0aa8f86d51a24f0f3ce4719a6203cbfdd7759d140ab7ff8963","schema_version":"1.0","event_id":"sha256:7cbb24a6808bbc0aa8f86d51a24f0f3ce4719a6203cbfdd7759d140ab7ff8963"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2015:PE237VKHZ7LME3LNUG2UH5VHQH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Why CLEAN when you can PURIFY? A new approach for next-generation radio-interferometric imaging","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.IM","authors_text":"Jason D. McEwen, Rafael E. Carrillo, Yves Wiaux","submitted_at":"2015-02-17T06:17:55Z","abstract_excerpt":"In recent works, sparse models and convex optimization techniques have been applied to radio-interferometric (RI) imaging showing the potential to outperform state-of-the-art imaging algorithms in the field. In this talk, I will review our latest contributions in RI imaging, which leverage the versatility of convex optimization to both handle realistic continuous visibilities and offer a highly parallelizable structure paving the way to high-dimensional data scalability. Firstly, I will review our recently proposed average sparsity approach, SARA, which relies on the observation that natural i"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1502.05037","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":"2026-05-18T02:26:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Lp6TuLKBSrEfKOkQgFuvZYbgqIruak6p8vYXL+U7mKk07aZC/kBxIaMlQWGrotDoG99JMXKiMY21JwZf+6EKAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T13:58:35.812267Z"},"content_sha256":"cae2bd144df410b0be3072910d1debe2ff71d35a66ab5361241ad612d92e29aa","schema_version":"1.0","event_id":"sha256:cae2bd144df410b0be3072910d1debe2ff71d35a66ab5361241ad612d92e29aa"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PE237VKHZ7LME3LNUG2UH5VHQH/bundle.json","state_url":"https://pith.science/pith/PE237VKHZ7LME3LNUG2UH5VHQH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PE237VKHZ7LME3LNUG2UH5VHQH/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":"2026-06-09T13:58:35Z","links":{"resolver":"https://pith.science/pith/PE237VKHZ7LME3LNUG2UH5VHQH","bundle":"https://pith.science/pith/PE237VKHZ7LME3LNUG2UH5VHQH/bundle.json","state":"https://pith.science/pith/PE237VKHZ7LME3LNUG2UH5VHQH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PE237VKHZ7LME3LNUG2UH5VHQH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:PE237VKHZ7LME3LNUG2UH5VHQH","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":"efabdf1e07a3ce44bbae614077991ea39c0184dba0b6355917614a1f9f48ab0e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2015-02-17T06:17:55Z","title_canon_sha256":"87a0279e2e32da719c1e4348df7a7516df914596f77dfbec782dc81a5ca12bb0"},"schema_version":"1.0","source":{"id":"1502.05037","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1502.05037","created_at":"2026-05-18T02:26:52Z"},{"alias_kind":"arxiv_version","alias_value":"1502.05037v1","created_at":"2026-05-18T02:26:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1502.05037","created_at":"2026-05-18T02:26:52Z"},{"alias_kind":"pith_short_12","alias_value":"PE237VKHZ7LM","created_at":"2026-05-18T12:29:37Z"},{"alias_kind":"pith_short_16","alias_value":"PE237VKHZ7LME3LN","created_at":"2026-05-18T12:29:37Z"},{"alias_kind":"pith_short_8","alias_value":"PE237VKH","created_at":"2026-05-18T12:29:37Z"}],"graph_snapshots":[{"event_id":"sha256:cae2bd144df410b0be3072910d1debe2ff71d35a66ab5361241ad612d92e29aa","target":"graph","created_at":"2026-05-18T02:26:52Z","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":"In recent works, sparse models and convex optimization techniques have been applied to radio-interferometric (RI) imaging showing the potential to outperform state-of-the-art imaging algorithms in the field. In this talk, I will review our latest contributions in RI imaging, which leverage the versatility of convex optimization to both handle realistic continuous visibilities and offer a highly parallelizable structure paving the way to high-dimensional data scalability. Firstly, I will review our recently proposed average sparsity approach, SARA, which relies on the observation that natural i","authors_text":"Jason D. McEwen, Rafael E. Carrillo, Yves Wiaux","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2015-02-17T06:17:55Z","title":"Why CLEAN when you can PURIFY? A new approach for next-generation radio-interferometric imaging"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1502.05037","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":"sha256:7cbb24a6808bbc0aa8f86d51a24f0f3ce4719a6203cbfdd7759d140ab7ff8963","target":"record","created_at":"2026-05-18T02:26:52Z","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":"efabdf1e07a3ce44bbae614077991ea39c0184dba0b6355917614a1f9f48ab0e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2015-02-17T06:17:55Z","title_canon_sha256":"87a0279e2e32da719c1e4348df7a7516df914596f77dfbec782dc81a5ca12bb0"},"schema_version":"1.0","source":{"id":"1502.05037","kind":"arxiv","version":1}},"canonical_sha256":"7935bfd547cfd6c26d6da1b543f6a781f76fdba7974f9659a8a1330ec1e03660","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7935bfd547cfd6c26d6da1b543f6a781f76fdba7974f9659a8a1330ec1e03660","first_computed_at":"2026-05-18T02:26:52.501607Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:26:52.501607Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/9/GCn9Nlhgv8YvzDO7hJM1grVV0wL5nZO/Nyp56pbbKJLwLh9BPKP6SsG6Lkk6lMwo8K9t8iEBBu4UZp/OEDw==","signature_status":"signed_v1","signed_at":"2026-05-18T02:26:52.502131Z","signed_message":"canonical_sha256_bytes"},"source_id":"1502.05037","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7cbb24a6808bbc0aa8f86d51a24f0f3ce4719a6203cbfdd7759d140ab7ff8963","sha256:cae2bd144df410b0be3072910d1debe2ff71d35a66ab5361241ad612d92e29aa"],"state_sha256":"003f091d24617991f7599d39fe9f9d3b9b054c887cad1b966e51e0d800df538f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1pkFw1U6yBn9MIKBy7DM0epvEM92VsrjYVJWvWlXO5+X33dncGKoYmO7QclumBgJhU7rR5ZexcANDyexbZKYAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-09T13:58:35.814515Z","bundle_sha256":"c183169b30b894f3f82992f5d7f7cf14793cc41c43588f8f76c01e76a1c75f86"}}