{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:EKCJMHOONS3E6Y7HAYTVLAQFNZ","short_pith_number":"pith:EKCJMHOO","canonical_record":{"source":{"id":"1808.08658","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2018-08-27T01:34:37Z","cross_cats_sorted":["eess.IV"],"title_canon_sha256":"4df2faec8198740825c93a06d9702aef16de8da3ef303cb1ba2b18da3932acb4","abstract_canon_sha256":"9094863ae4aacd6c91bcd6ed8e32c1e051acde4204aa8f7de277c7f56e70e83c"},"schema_version":"1.0"},"canonical_sha256":"2284961dce6cb64f63e706275582056e6bceddfe0e81560cfa2d42398e2dd75a","source":{"kind":"arxiv","id":"1808.08658","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1808.08658","created_at":"2026-05-18T00:07:13Z"},{"alias_kind":"arxiv_version","alias_value":"1808.08658v1","created_at":"2026-05-18T00:07:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1808.08658","created_at":"2026-05-18T00:07:13Z"},{"alias_kind":"pith_short_12","alias_value":"EKCJMHOONS3E","created_at":"2026-05-18T12:32:22Z"},{"alias_kind":"pith_short_16","alias_value":"EKCJMHOONS3E6Y7H","created_at":"2026-05-18T12:32:22Z"},{"alias_kind":"pith_short_8","alias_value":"EKCJMHOO","created_at":"2026-05-18T12:32:22Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:EKCJMHOONS3E6Y7HAYTVLAQFNZ","target":"record","payload":{"canonical_record":{"source":{"id":"1808.08658","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2018-08-27T01:34:37Z","cross_cats_sorted":["eess.IV"],"title_canon_sha256":"4df2faec8198740825c93a06d9702aef16de8da3ef303cb1ba2b18da3932acb4","abstract_canon_sha256":"9094863ae4aacd6c91bcd6ed8e32c1e051acde4204aa8f7de277c7f56e70e83c"},"schema_version":"1.0"},"canonical_sha256":"2284961dce6cb64f63e706275582056e6bceddfe0e81560cfa2d42398e2dd75a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:07:13.661874Z","signature_b64":"H+pa6p84AeBDz0q5yvdZdnzTvHU6Cu62uXaJvUn1M/0JEFqvUIxfUBjQsYJSoTGAilOuROIFre0vA4ARoL4WCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2284961dce6cb64f63e706275582056e6bceddfe0e81560cfa2d42398e2dd75a","last_reissued_at":"2026-05-18T00:07:13.661164Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:07:13.661164Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1808.08658","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":"2026-05-18T00:07:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"R0+iwnGUVWPfkvbd39Exj3YG2YussN40OvcS28gGx7pAXC3dLIpKpWAfczRLO00SvJpOpOtck0dlq4v6SbzwBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T21:38:00.057234Z"},"content_sha256":"e4c7045f0e7e5c7bb284e2c5b800625295912f7c8357b89a210516f1a21240a3","schema_version":"1.0","event_id":"sha256:e4c7045f0e7e5c7bb284e2c5b800625295912f7c8357b89a210516f1a21240a3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:EKCJMHOONS3E6Y7HAYTVLAQFNZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Fast Super-resolution 3D SAR Imaging Using an Unfolded Deep Network","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["eess.IV"],"primary_cat":"eess.SP","authors_text":"Bin Deng, Hongqiang Wang, Jingkun Gao, Xiang Li, Yuliang Qin","submitted_at":"2018-08-27T01:34:37Z","abstract_excerpt":"For 3D Synthetic Aperture Radar (SAR) imaging, one typical approach is to achieve the cross-track 1D focusing for each range-azimuth pixel after obtaining a stack of 2D complex-valued images. The cross-track focusing is the main difficulty as its aperture length is limited and the antenna positions are usually non-uniformly distributed. Sparsity regularization methods are widely used to tackle these problems. However, these methods are of obvious limitations. The most well-known ones are their heavy computational burdens and unsatisfied stabilities. In this letter, an efficient deep network-ba"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1808.08658","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":"2026-05-18T00:07:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"os5GCXqFnRyQyFp4ACPhBa8TuvYyoMTsqdE6/YEcfsw6gzcWLMGCn0G6fzHAteuuXNTG+XQE1Vi/X9GFxRoQBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T21:38:00.057958Z"},"content_sha256":"912a2b80df63e762ba6e733e48b6c89d3103757b3c0d3076cba15b2d44de9aa0","schema_version":"1.0","event_id":"sha256:912a2b80df63e762ba6e733e48b6c89d3103757b3c0d3076cba15b2d44de9aa0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EKCJMHOONS3E6Y7HAYTVLAQFNZ/bundle.json","state_url":"https://pith.science/pith/EKCJMHOONS3E6Y7HAYTVLAQFNZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EKCJMHOONS3E6Y7HAYTVLAQFNZ/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":"2026-05-27T21:38:00Z","links":{"resolver":"https://pith.science/pith/EKCJMHOONS3E6Y7HAYTVLAQFNZ","bundle":"https://pith.science/pith/EKCJMHOONS3E6Y7HAYTVLAQFNZ/bundle.json","state":"https://pith.science/pith/EKCJMHOONS3E6Y7HAYTVLAQFNZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EKCJMHOONS3E6Y7HAYTVLAQFNZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:EKCJMHOONS3E6Y7HAYTVLAQFNZ","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":"9094863ae4aacd6c91bcd6ed8e32c1e051acde4204aa8f7de277c7f56e70e83c","cross_cats_sorted":["eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2018-08-27T01:34:37Z","title_canon_sha256":"4df2faec8198740825c93a06d9702aef16de8da3ef303cb1ba2b18da3932acb4"},"schema_version":"1.0","source":{"id":"1808.08658","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1808.08658","created_at":"2026-05-18T00:07:13Z"},{"alias_kind":"arxiv_version","alias_value":"1808.08658v1","created_at":"2026-05-18T00:07:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1808.08658","created_at":"2026-05-18T00:07:13Z"},{"alias_kind":"pith_short_12","alias_value":"EKCJMHOONS3E","created_at":"2026-05-18T12:32:22Z"},{"alias_kind":"pith_short_16","alias_value":"EKCJMHOONS3E6Y7H","created_at":"2026-05-18T12:32:22Z"},{"alias_kind":"pith_short_8","alias_value":"EKCJMHOO","created_at":"2026-05-18T12:32:22Z"}],"graph_snapshots":[{"event_id":"sha256:912a2b80df63e762ba6e733e48b6c89d3103757b3c0d3076cba15b2d44de9aa0","target":"graph","created_at":"2026-05-18T00:07:13Z","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":"For 3D Synthetic Aperture Radar (SAR) imaging, one typical approach is to achieve the cross-track 1D focusing for each range-azimuth pixel after obtaining a stack of 2D complex-valued images. The cross-track focusing is the main difficulty as its aperture length is limited and the antenna positions are usually non-uniformly distributed. Sparsity regularization methods are widely used to tackle these problems. However, these methods are of obvious limitations. The most well-known ones are their heavy computational burdens and unsatisfied stabilities. In this letter, an efficient deep network-ba","authors_text":"Bin Deng, Hongqiang Wang, Jingkun Gao, Xiang Li, Yuliang Qin","cross_cats":["eess.IV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2018-08-27T01:34:37Z","title":"Fast Super-resolution 3D SAR Imaging Using an Unfolded Deep Network"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1808.08658","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:e4c7045f0e7e5c7bb284e2c5b800625295912f7c8357b89a210516f1a21240a3","target":"record","created_at":"2026-05-18T00:07:13Z","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":"9094863ae4aacd6c91bcd6ed8e32c1e051acde4204aa8f7de277c7f56e70e83c","cross_cats_sorted":["eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2018-08-27T01:34:37Z","title_canon_sha256":"4df2faec8198740825c93a06d9702aef16de8da3ef303cb1ba2b18da3932acb4"},"schema_version":"1.0","source":{"id":"1808.08658","kind":"arxiv","version":1}},"canonical_sha256":"2284961dce6cb64f63e706275582056e6bceddfe0e81560cfa2d42398e2dd75a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2284961dce6cb64f63e706275582056e6bceddfe0e81560cfa2d42398e2dd75a","first_computed_at":"2026-05-18T00:07:13.661164Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:07:13.661164Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"H+pa6p84AeBDz0q5yvdZdnzTvHU6Cu62uXaJvUn1M/0JEFqvUIxfUBjQsYJSoTGAilOuROIFre0vA4ARoL4WCA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:07:13.661874Z","signed_message":"canonical_sha256_bytes"},"source_id":"1808.08658","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e4c7045f0e7e5c7bb284e2c5b800625295912f7c8357b89a210516f1a21240a3","sha256:912a2b80df63e762ba6e733e48b6c89d3103757b3c0d3076cba15b2d44de9aa0"],"state_sha256":"4be215ba064690fdf6bdc354e5ccd651dbadc14f93b354c98dccce2e1ba62658"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"o9e2mepwW/syhOhL8ifucOMJklWIxLEfXnrZr37jO7Yhpdz7TQQzm6VJrp17YQXxnb9I8tEmpPyY4Ebfpz37Ag==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-27T21:38:00.061712Z","bundle_sha256":"33c3777fcd436716d31103c9fccc75e97448e3fb5844f3b5400a905e6f5ec76d"}}