{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:63UNUE5FHTU3GIL56QGKN3IJQS","short_pith_number":"pith:63UNUE5F","canonical_record":{"source":{"id":"1806.11194","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2018-06-28T21:12:13Z","cross_cats_sorted":["stat.TH"],"title_canon_sha256":"403e998648d9392e8ae0f226fe96050b196296f6b847252781036703114cbbb0","abstract_canon_sha256":"bf877722d9b952b838f556d7d6be60c3ba6f4f6ed2a2dbd7d240386889422187"},"schema_version":"1.0"},"canonical_sha256":"f6e8da13a53ce9b3217df40ca6ed0984917270d91171bfe1702f7bde52a23ee1","source":{"kind":"arxiv","id":"1806.11194","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1806.11194","created_at":"2026-05-18T00:12:03Z"},{"alias_kind":"arxiv_version","alias_value":"1806.11194v1","created_at":"2026-05-18T00:12:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1806.11194","created_at":"2026-05-18T00:12:03Z"},{"alias_kind":"pith_short_12","alias_value":"63UNUE5FHTU3","created_at":"2026-05-18T12:32:08Z"},{"alias_kind":"pith_short_16","alias_value":"63UNUE5FHTU3GIL5","created_at":"2026-05-18T12:32:08Z"},{"alias_kind":"pith_short_8","alias_value":"63UNUE5F","created_at":"2026-05-18T12:32:08Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:63UNUE5FHTU3GIL56QGKN3IJQS","target":"record","payload":{"canonical_record":{"source":{"id":"1806.11194","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2018-06-28T21:12:13Z","cross_cats_sorted":["stat.TH"],"title_canon_sha256":"403e998648d9392e8ae0f226fe96050b196296f6b847252781036703114cbbb0","abstract_canon_sha256":"bf877722d9b952b838f556d7d6be60c3ba6f4f6ed2a2dbd7d240386889422187"},"schema_version":"1.0"},"canonical_sha256":"f6e8da13a53ce9b3217df40ca6ed0984917270d91171bfe1702f7bde52a23ee1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:12:03.323149Z","signature_b64":"I/mYwrugC1eGttcoIgfjw1AkZMZeLvtp+9o4/aHi/o8+I7At1ktntM3bhleYNNW8f+6yeuwoFtiV04gtVQb3CQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f6e8da13a53ce9b3217df40ca6ed0984917270d91171bfe1702f7bde52a23ee1","last_reissued_at":"2026-05-18T00:12:03.322494Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:12:03.322494Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1806.11194","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":"2026-05-18T00:12:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Edw8NsCrBhYZfwsMI58sYEQCxY7tvYTKzC75+i1onhfv/wuYT6Wci9iC3tpQ6lbjxnpH7o1AnA/gMlAaXDRaCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-26T20:07:20.751869Z"},"content_sha256":"27046a4ed11bad2b9d831b0a85afa3956f3fe45d9b09f54deecde1242bbc6e36","schema_version":"1.0","event_id":"sha256:27046a4ed11bad2b9d831b0a85afa3956f3fe45d9b09f54deecde1242bbc6e36"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:63UNUE5FHTU3GIL56QGKN3IJQS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Compressed Sensing Beyond the IID and Static Domains: Theory, Algorithms and Applications","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.TH"],"primary_cat":"math.ST","authors_text":"Abbas Kazemipour","submitted_at":"2018-06-28T21:12:13Z","abstract_excerpt":"Sparsity is a ubiquitous feature of many real world signals such as natural images and neural spiking activities. Conventional compressed sensing utilizes sparsity to recover low dimensional signal structures in high ambient dimensions using few measurements, where i.i.d measurements are at disposal. However real world scenarios typically exhibit non i.i.d and dynamic structures and are confined by physical constraints, preventing applicability of the theoretical guarantees of compressed sensing and limiting its applications. In this thesis we develop new theory, algorithms and applications fo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1806.11194","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":"2026-05-18T00:12:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zTlzH1PqALDcCvhRRk+fwug2x79LoMW7SGD5jcXexq31ovjP1QH+4Ph4aMSijf/UUwhyhIai8d9YQIGO9DKOBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-26T20:07:20.752212Z"},"content_sha256":"8b9ef26e80ff0b44135879a175de6170b4958e1f1884f7b9a7a94a0e8c4bdab3","schema_version":"1.0","event_id":"sha256:8b9ef26e80ff0b44135879a175de6170b4958e1f1884f7b9a7a94a0e8c4bdab3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/63UNUE5FHTU3GIL56QGKN3IJQS/bundle.json","state_url":"https://pith.science/pith/63UNUE5FHTU3GIL56QGKN3IJQS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/63UNUE5FHTU3GIL56QGKN3IJQS/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":"2026-07-26T20:07:20Z","links":{"resolver":"https://pith.science/pith/63UNUE5FHTU3GIL56QGKN3IJQS","bundle":"https://pith.science/pith/63UNUE5FHTU3GIL56QGKN3IJQS/bundle.json","state":"https://pith.science/pith/63UNUE5FHTU3GIL56QGKN3IJQS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/63UNUE5FHTU3GIL56QGKN3IJQS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:63UNUE5FHTU3GIL56QGKN3IJQS","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":"bf877722d9b952b838f556d7d6be60c3ba6f4f6ed2a2dbd7d240386889422187","cross_cats_sorted":["stat.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2018-06-28T21:12:13Z","title_canon_sha256":"403e998648d9392e8ae0f226fe96050b196296f6b847252781036703114cbbb0"},"schema_version":"1.0","source":{"id":"1806.11194","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1806.11194","created_at":"2026-05-18T00:12:03Z"},{"alias_kind":"arxiv_version","alias_value":"1806.11194v1","created_at":"2026-05-18T00:12:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1806.11194","created_at":"2026-05-18T00:12:03Z"},{"alias_kind":"pith_short_12","alias_value":"63UNUE5FHTU3","created_at":"2026-05-18T12:32:08Z"},{"alias_kind":"pith_short_16","alias_value":"63UNUE5FHTU3GIL5","created_at":"2026-05-18T12:32:08Z"},{"alias_kind":"pith_short_8","alias_value":"63UNUE5F","created_at":"2026-05-18T12:32:08Z"}],"graph_snapshots":[{"event_id":"sha256:8b9ef26e80ff0b44135879a175de6170b4958e1f1884f7b9a7a94a0e8c4bdab3","target":"graph","created_at":"2026-05-18T00:12:03Z","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":"Sparsity is a ubiquitous feature of many real world signals such as natural images and neural spiking activities. Conventional compressed sensing utilizes sparsity to recover low dimensional signal structures in high ambient dimensions using few measurements, where i.i.d measurements are at disposal. However real world scenarios typically exhibit non i.i.d and dynamic structures and are confined by physical constraints, preventing applicability of the theoretical guarantees of compressed sensing and limiting its applications. In this thesis we develop new theory, algorithms and applications fo","authors_text":"Abbas Kazemipour","cross_cats":["stat.TH"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2018-06-28T21:12:13Z","title":"Compressed Sensing Beyond the IID and Static Domains: Theory, Algorithms and Applications"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1806.11194","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":"sha256:27046a4ed11bad2b9d831b0a85afa3956f3fe45d9b09f54deecde1242bbc6e36","target":"record","created_at":"2026-05-18T00:12:03Z","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":"bf877722d9b952b838f556d7d6be60c3ba6f4f6ed2a2dbd7d240386889422187","cross_cats_sorted":["stat.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2018-06-28T21:12:13Z","title_canon_sha256":"403e998648d9392e8ae0f226fe96050b196296f6b847252781036703114cbbb0"},"schema_version":"1.0","source":{"id":"1806.11194","kind":"arxiv","version":1}},"canonical_sha256":"f6e8da13a53ce9b3217df40ca6ed0984917270d91171bfe1702f7bde52a23ee1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f6e8da13a53ce9b3217df40ca6ed0984917270d91171bfe1702f7bde52a23ee1","first_computed_at":"2026-05-18T00:12:03.322494Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:12:03.322494Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"I/mYwrugC1eGttcoIgfjw1AkZMZeLvtp+9o4/aHi/o8+I7At1ktntM3bhleYNNW8f+6yeuwoFtiV04gtVQb3CQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:12:03.323149Z","signed_message":"canonical_sha256_bytes"},"source_id":"1806.11194","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:27046a4ed11bad2b9d831b0a85afa3956f3fe45d9b09f54deecde1242bbc6e36","sha256:8b9ef26e80ff0b44135879a175de6170b4958e1f1884f7b9a7a94a0e8c4bdab3"],"state_sha256":"10cf47fc7e6c5bfc02b682cef20948c8abc460707d7d24b3ebb6ed777b49d053"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4icbbhxepzIkHUMAKIa1Dzlp/VpAv07epom4OUSrvLtXPrl31Z+xbrzsZPlHnJH/EwjKwkSzg+6DTMmg//mhDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-26T20:07:20.755204Z","bundle_sha256":"f2de7d48a72e843ee6e22c9ba42865bc890e3cfa6eeee60793ee9cf977ee7314"}}