{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:XU5H4HWG5QB4CXY6XZE5F5XNDO","short_pith_number":"pith:XU5H4HWG","canonical_record":{"source":{"id":"1811.02046","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2018-11-05T21:46:56Z","cross_cats_sorted":[],"title_canon_sha256":"2ff5e0dcc61debaae9a58b0322669e1d626e798c12232beacdf9c9c7d3aab90a","abstract_canon_sha256":"a0c6b6b5e0f9e10ec6cac31d361648de183adbfb96e2ae4b0c170c3c863ab8a9"},"schema_version":"1.0"},"canonical_sha256":"bd3a7e1ec6ec03c15f1ebe49d2f6ed1bac36176a540788eab132ffaeea0e87ea","source":{"kind":"arxiv","id":"1811.02046","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1811.02046","created_at":"2026-05-17T23:45:35Z"},{"alias_kind":"arxiv_version","alias_value":"1811.02046v1","created_at":"2026-05-17T23:45:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1811.02046","created_at":"2026-05-17T23:45:35Z"},{"alias_kind":"pith_short_12","alias_value":"XU5H4HWG5QB4","created_at":"2026-05-18T12:33:01Z"},{"alias_kind":"pith_short_16","alias_value":"XU5H4HWG5QB4CXY6","created_at":"2026-05-18T12:33:01Z"},{"alias_kind":"pith_short_8","alias_value":"XU5H4HWG","created_at":"2026-05-18T12:33:01Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:XU5H4HWG5QB4CXY6XZE5F5XNDO","target":"record","payload":{"canonical_record":{"source":{"id":"1811.02046","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2018-11-05T21:46:56Z","cross_cats_sorted":[],"title_canon_sha256":"2ff5e0dcc61debaae9a58b0322669e1d626e798c12232beacdf9c9c7d3aab90a","abstract_canon_sha256":"a0c6b6b5e0f9e10ec6cac31d361648de183adbfb96e2ae4b0c170c3c863ab8a9"},"schema_version":"1.0"},"canonical_sha256":"bd3a7e1ec6ec03c15f1ebe49d2f6ed1bac36176a540788eab132ffaeea0e87ea","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:45:35.476713Z","signature_b64":"w/Z+tVYCMAgpUVHz71+9YUEyXeOeoLcZu9QmVDNmx8I9z7MoBe4OSsvr+9bQshE+OfGkaFhwOKmozGDMpW+zCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bd3a7e1ec6ec03c15f1ebe49d2f6ed1bac36176a540788eab132ffaeea0e87ea","last_reissued_at":"2026-05-17T23:45:35.476097Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:45:35.476097Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1811.02046","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":"2026-05-17T23:45:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UVc4KW0f5ve6osIwBFpzh1oYxN+xd2oIHemuVG3/8Zy7SS/zGst8K3aXkxpNzKGwfXoil3gMx9JbGjtPso/cCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-07T02:22:30.376283Z"},"content_sha256":"2ea4a3920db4da61588b489d9febfec44b5c16beafb976ce76883e23cdb88094","schema_version":"1.0","event_id":"sha256:2ea4a3920db4da61588b489d9febfec44b5c16beafb976ce76883e23cdb88094"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:XU5H4HWG5QB4CXY6XZE5F5XNDO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Non-Local Compressive Sensing Based SAR Tomography","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Richard Bamler, Xiao Xiang Zhu, Yilei Shi","submitted_at":"2018-11-05T21:46:56Z","abstract_excerpt":"Tomographic SAR (TomoSAR) inversion of urban areas is an inherently sparse reconstruction problem and, hence, can be solved using compressive sensing (CS) algorithms. This paper proposes solutions for two notorious problems in this field: 1) TomoSAR requires a high number of data sets, which makes the technique expensive. However, it can be shown that the number of acquisitions and the signal-to-noise ratio (SNR) can be traded off against each other, because it is asymptotically only the product of the number of acquisitions and SNR that determines the reconstruction quality. We propose to inc"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1811.02046","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":"2026-05-17T23:45:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"C5V18G2zozmaWGlCuDrW+AzHsd0xvBqB7tfKp33VUtQyHN/sfmZuV2y/usVnUHDt/vt3wAsn1G6N9OcKQ1nHCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-07T02:22:30.377102Z"},"content_sha256":"42e66451d31d4ec59bb29035aec6579569b4cd5d3aa181512ad86e8a66b6974b","schema_version":"1.0","event_id":"sha256:42e66451d31d4ec59bb29035aec6579569b4cd5d3aa181512ad86e8a66b6974b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XU5H4HWG5QB4CXY6XZE5F5XNDO/bundle.json","state_url":"https://pith.science/pith/XU5H4HWG5QB4CXY6XZE5F5XNDO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XU5H4HWG5QB4CXY6XZE5F5XNDO/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":"2026-06-07T02:22:30Z","links":{"resolver":"https://pith.science/pith/XU5H4HWG5QB4CXY6XZE5F5XNDO","bundle":"https://pith.science/pith/XU5H4HWG5QB4CXY6XZE5F5XNDO/bundle.json","state":"https://pith.science/pith/XU5H4HWG5QB4CXY6XZE5F5XNDO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XU5H4HWG5QB4CXY6XZE5F5XNDO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:XU5H4HWG5QB4CXY6XZE5F5XNDO","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":"a0c6b6b5e0f9e10ec6cac31d361648de183adbfb96e2ae4b0c170c3c863ab8a9","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2018-11-05T21:46:56Z","title_canon_sha256":"2ff5e0dcc61debaae9a58b0322669e1d626e798c12232beacdf9c9c7d3aab90a"},"schema_version":"1.0","source":{"id":"1811.02046","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1811.02046","created_at":"2026-05-17T23:45:35Z"},{"alias_kind":"arxiv_version","alias_value":"1811.02046v1","created_at":"2026-05-17T23:45:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1811.02046","created_at":"2026-05-17T23:45:35Z"},{"alias_kind":"pith_short_12","alias_value":"XU5H4HWG5QB4","created_at":"2026-05-18T12:33:01Z"},{"alias_kind":"pith_short_16","alias_value":"XU5H4HWG5QB4CXY6","created_at":"2026-05-18T12:33:01Z"},{"alias_kind":"pith_short_8","alias_value":"XU5H4HWG","created_at":"2026-05-18T12:33:01Z"}],"graph_snapshots":[{"event_id":"sha256:42e66451d31d4ec59bb29035aec6579569b4cd5d3aa181512ad86e8a66b6974b","target":"graph","created_at":"2026-05-17T23:45:35Z","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":"Tomographic SAR (TomoSAR) inversion of urban areas is an inherently sparse reconstruction problem and, hence, can be solved using compressive sensing (CS) algorithms. This paper proposes solutions for two notorious problems in this field: 1) TomoSAR requires a high number of data sets, which makes the technique expensive. However, it can be shown that the number of acquisitions and the signal-to-noise ratio (SNR) can be traded off against each other, because it is asymptotically only the product of the number of acquisitions and SNR that determines the reconstruction quality. We propose to inc","authors_text":"Richard Bamler, Xiao Xiang Zhu, Yilei Shi","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2018-11-05T21:46:56Z","title":"Non-Local Compressive Sensing Based SAR Tomography"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1811.02046","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":"sha256:2ea4a3920db4da61588b489d9febfec44b5c16beafb976ce76883e23cdb88094","target":"record","created_at":"2026-05-17T23:45:35Z","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":"a0c6b6b5e0f9e10ec6cac31d361648de183adbfb96e2ae4b0c170c3c863ab8a9","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2018-11-05T21:46:56Z","title_canon_sha256":"2ff5e0dcc61debaae9a58b0322669e1d626e798c12232beacdf9c9c7d3aab90a"},"schema_version":"1.0","source":{"id":"1811.02046","kind":"arxiv","version":1}},"canonical_sha256":"bd3a7e1ec6ec03c15f1ebe49d2f6ed1bac36176a540788eab132ffaeea0e87ea","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bd3a7e1ec6ec03c15f1ebe49d2f6ed1bac36176a540788eab132ffaeea0e87ea","first_computed_at":"2026-05-17T23:45:35.476097Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:45:35.476097Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"w/Z+tVYCMAgpUVHz71+9YUEyXeOeoLcZu9QmVDNmx8I9z7MoBe4OSsvr+9bQshE+OfGkaFhwOKmozGDMpW+zCQ==","signature_status":"signed_v1","signed_at":"2026-05-17T23:45:35.476713Z","signed_message":"canonical_sha256_bytes"},"source_id":"1811.02046","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2ea4a3920db4da61588b489d9febfec44b5c16beafb976ce76883e23cdb88094","sha256:42e66451d31d4ec59bb29035aec6579569b4cd5d3aa181512ad86e8a66b6974b"],"state_sha256":"8970a0beb0a43a5475791452eddbc1c4afc597850eb0a65dbad4166b7d26048a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2GcYrEBoKA61Qvufsr0CzabfjXlCbiPi3XQrZ/vbjuKO5CeRsrTOJK7DJbrLR/akc9ujiK9QS9ze/7osVAoNCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-07T02:22:30.379982Z","bundle_sha256":"87b5e07b53f94f074cca157d38322082a193487bb7de570dc903fe93b107ad9d"}}