{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2013:WLIBJKROFX43RBWF5HUNZXW5WO","short_pith_number":"pith:WLIBJKRO","canonical_record":{"source":{"id":"1304.8126","kind":"arxiv","version":5},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2013-04-30T19:24:22Z","cross_cats_sorted":["cs.SY","math.IT","math.NA","stat.ML"],"title_canon_sha256":"53aa0c196ba0d1bfb726a05fd8fc43319c4fe561176faea13e24b2a2bf0c6a98","abstract_canon_sha256":"10dfe3c0fdf7cc40f0f10f89d47d4a1bf804f6becc50dfddf5a5b0eb46c618bc"},"schema_version":"1.0"},"canonical_sha256":"b2d014aa2e2df9b886c5e9e8dcdeddb389a65b6a00a89369684dacaa6a26499b","source":{"kind":"arxiv","id":"1304.8126","version":5},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1304.8126","created_at":"2026-05-18T02:30:15Z"},{"alias_kind":"arxiv_version","alias_value":"1304.8126v5","created_at":"2026-05-18T02:30:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1304.8126","created_at":"2026-05-18T02:30:15Z"},{"alias_kind":"pith_short_12","alias_value":"WLIBJKROFX43","created_at":"2026-05-18T12:28:04Z"},{"alias_kind":"pith_short_16","alias_value":"WLIBJKROFX43RBWF","created_at":"2026-05-18T12:28:04Z"},{"alias_kind":"pith_short_8","alias_value":"WLIBJKRO","created_at":"2026-05-18T12:28:04Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2013:WLIBJKROFX43RBWF5HUNZXW5WO","target":"record","payload":{"canonical_record":{"source":{"id":"1304.8126","kind":"arxiv","version":5},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2013-04-30T19:24:22Z","cross_cats_sorted":["cs.SY","math.IT","math.NA","stat.ML"],"title_canon_sha256":"53aa0c196ba0d1bfb726a05fd8fc43319c4fe561176faea13e24b2a2bf0c6a98","abstract_canon_sha256":"10dfe3c0fdf7cc40f0f10f89d47d4a1bf804f6becc50dfddf5a5b0eb46c618bc"},"schema_version":"1.0"},"canonical_sha256":"b2d014aa2e2df9b886c5e9e8dcdeddb389a65b6a00a89369684dacaa6a26499b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:30:15.940732Z","signature_b64":"1Dvwg+NJPhGTtUb48MlplLlM+gw2rzU6rgqW1+pbv1VmvjygMsxNy4Sr7+STmW8bdIscKNpfIj44BrVVN+fXCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b2d014aa2e2df9b886c5e9e8dcdeddb389a65b6a00a89369684dacaa6a26499b","last_reissued_at":"2026-05-18T02:30:15.940222Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:30:15.940222Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1304.8126","source_version":5,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T02:30:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UGfKNKb8lBzR8hOq5mpjYA6mv4y5jtMYSvOaH2EVK0nDbo8zY4PtD6ZDJnZe2jb1MzQepSYJLycl2nnwQU/JAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-07T18:28:34.113288Z"},"content_sha256":"f242aea78ed8cebe58f2b1ef3228c468289d51af5bdb59c4e947ad6e23fb6cd4","schema_version":"1.0","event_id":"sha256:f242aea78ed8cebe58f2b1ef3228c468289d51af5bdb59c4e947ad6e23fb6cd4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2013:WLIBJKROFX43RBWF5HUNZXW5WO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Robust Spectral Compressed Sensing via Structured Matrix Completion","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SY","math.IT","math.NA","stat.ML"],"primary_cat":"cs.IT","authors_text":"Yuejie Chi, Yuxin Chen","submitted_at":"2013-04-30T19:24:22Z","abstract_excerpt":"The paper explores the problem of \\emph{spectral compressed sensing}, which aims to recover a spectrally sparse signal from a small random subset of its $n$ time domain samples. The signal of interest is assumed to be a superposition of $r$ multi-dimensional complex sinusoids, while the underlying frequencies can assume any \\emph{continuous} values in the normalized frequency domain. Conventional compressed sensing paradigms suffer from the basis mismatch issue when imposing a discrete dictionary on the Fourier representation. To address this issue, we develop a novel algorithm, called \\emph{E"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1304.8126","kind":"arxiv","version":5},"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":"2026-05-18T02:30:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"87kyLrZnp4rX/+dWALBt4PfohSDjOl+o2bMRIxh9PH4qgMqEEdl3g/ChAUE0XOPyTpCcOPVPucifRYb/+kZdCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-07T18:28:34.113999Z"},"content_sha256":"831ac0fa32211802afcb266e3504ce2dcb8dd734f92395acc78a1c35e34f3c52","schema_version":"1.0","event_id":"sha256:831ac0fa32211802afcb266e3504ce2dcb8dd734f92395acc78a1c35e34f3c52"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WLIBJKROFX43RBWF5HUNZXW5WO/bundle.json","state_url":"https://pith.science/pith/WLIBJKROFX43RBWF5HUNZXW5WO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WLIBJKROFX43RBWF5HUNZXW5WO/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":"2026-06-07T18:28:34Z","links":{"resolver":"https://pith.science/pith/WLIBJKROFX43RBWF5HUNZXW5WO","bundle":"https://pith.science/pith/WLIBJKROFX43RBWF5HUNZXW5WO/bundle.json","state":"https://pith.science/pith/WLIBJKROFX43RBWF5HUNZXW5WO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WLIBJKROFX43RBWF5HUNZXW5WO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2013:WLIBJKROFX43RBWF5HUNZXW5WO","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":"10dfe3c0fdf7cc40f0f10f89d47d4a1bf804f6becc50dfddf5a5b0eb46c618bc","cross_cats_sorted":["cs.SY","math.IT","math.NA","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2013-04-30T19:24:22Z","title_canon_sha256":"53aa0c196ba0d1bfb726a05fd8fc43319c4fe561176faea13e24b2a2bf0c6a98"},"schema_version":"1.0","source":{"id":"1304.8126","kind":"arxiv","version":5}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1304.8126","created_at":"2026-05-18T02:30:15Z"},{"alias_kind":"arxiv_version","alias_value":"1304.8126v5","created_at":"2026-05-18T02:30:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1304.8126","created_at":"2026-05-18T02:30:15Z"},{"alias_kind":"pith_short_12","alias_value":"WLIBJKROFX43","created_at":"2026-05-18T12:28:04Z"},{"alias_kind":"pith_short_16","alias_value":"WLIBJKROFX43RBWF","created_at":"2026-05-18T12:28:04Z"},{"alias_kind":"pith_short_8","alias_value":"WLIBJKRO","created_at":"2026-05-18T12:28:04Z"}],"graph_snapshots":[{"event_id":"sha256:831ac0fa32211802afcb266e3504ce2dcb8dd734f92395acc78a1c35e34f3c52","target":"graph","created_at":"2026-05-18T02:30:15Z","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":"The paper explores the problem of \\emph{spectral compressed sensing}, which aims to recover a spectrally sparse signal from a small random subset of its $n$ time domain samples. The signal of interest is assumed to be a superposition of $r$ multi-dimensional complex sinusoids, while the underlying frequencies can assume any \\emph{continuous} values in the normalized frequency domain. Conventional compressed sensing paradigms suffer from the basis mismatch issue when imposing a discrete dictionary on the Fourier representation. To address this issue, we develop a novel algorithm, called \\emph{E","authors_text":"Yuejie Chi, Yuxin Chen","cross_cats":["cs.SY","math.IT","math.NA","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2013-04-30T19:24:22Z","title":"Robust Spectral Compressed Sensing via Structured Matrix Completion"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1304.8126","kind":"arxiv","version":5},"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:f242aea78ed8cebe58f2b1ef3228c468289d51af5bdb59c4e947ad6e23fb6cd4","target":"record","created_at":"2026-05-18T02:30:15Z","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":"10dfe3c0fdf7cc40f0f10f89d47d4a1bf804f6becc50dfddf5a5b0eb46c618bc","cross_cats_sorted":["cs.SY","math.IT","math.NA","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2013-04-30T19:24:22Z","title_canon_sha256":"53aa0c196ba0d1bfb726a05fd8fc43319c4fe561176faea13e24b2a2bf0c6a98"},"schema_version":"1.0","source":{"id":"1304.8126","kind":"arxiv","version":5}},"canonical_sha256":"b2d014aa2e2df9b886c5e9e8dcdeddb389a65b6a00a89369684dacaa6a26499b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b2d014aa2e2df9b886c5e9e8dcdeddb389a65b6a00a89369684dacaa6a26499b","first_computed_at":"2026-05-18T02:30:15.940222Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:30:15.940222Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1Dvwg+NJPhGTtUb48MlplLlM+gw2rzU6rgqW1+pbv1VmvjygMsxNy4Sr7+STmW8bdIscKNpfIj44BrVVN+fXCQ==","signature_status":"signed_v1","signed_at":"2026-05-18T02:30:15.940732Z","signed_message":"canonical_sha256_bytes"},"source_id":"1304.8126","source_kind":"arxiv","source_version":5}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f242aea78ed8cebe58f2b1ef3228c468289d51af5bdb59c4e947ad6e23fb6cd4","sha256:831ac0fa32211802afcb266e3504ce2dcb8dd734f92395acc78a1c35e34f3c52"],"state_sha256":"514172202b3d9e090044b29214965a3aeb36c8b425ac5bfb718432193542b538"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vd8bIGRJPnUyBx8Gf6gKuWi4x+luD0iJcxhQzlywcba/MkpOGEbP/tsas38x7MnNRnv6VOu3Fw0QumDwq4FyBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-07T18:28:34.117699Z","bundle_sha256":"02f1175d5f45cbbd907d1bebbda292f5e1b6db95237ce76c18aad783cca71072"}}