{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:ULO2NSHID6URGQ6WHGFCI2KBRD","short_pith_number":"pith:ULO2NSHI","canonical_record":{"source":{"id":"1711.09658","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2017-11-27T12:52:06Z","cross_cats_sorted":["math.IT"],"title_canon_sha256":"083e8235bdbc3cfefc8d15b0422a1283f8103f9b00f7e917fde5e06cd0395c57","abstract_canon_sha256":"60eb6e4b50cbca9517681ad163f0cdec5966efe9a35c8b64962458a1d66ab6ea"},"schema_version":"1.0"},"canonical_sha256":"a2dda6c8e81fa91343d6398a24694188ef751da108ca124c408bcd85a0452117","source":{"kind":"arxiv","id":"1711.09658","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1711.09658","created_at":"2026-05-18T00:29:34Z"},{"alias_kind":"arxiv_version","alias_value":"1711.09658v1","created_at":"2026-05-18T00:29:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1711.09658","created_at":"2026-05-18T00:29:34Z"},{"alias_kind":"pith_short_12","alias_value":"ULO2NSHID6UR","created_at":"2026-05-18T12:31:46Z"},{"alias_kind":"pith_short_16","alias_value":"ULO2NSHID6URGQ6W","created_at":"2026-05-18T12:31:46Z"},{"alias_kind":"pith_short_8","alias_value":"ULO2NSHI","created_at":"2026-05-18T12:31:46Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:ULO2NSHID6URGQ6WHGFCI2KBRD","target":"record","payload":{"canonical_record":{"source":{"id":"1711.09658","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2017-11-27T12:52:06Z","cross_cats_sorted":["math.IT"],"title_canon_sha256":"083e8235bdbc3cfefc8d15b0422a1283f8103f9b00f7e917fde5e06cd0395c57","abstract_canon_sha256":"60eb6e4b50cbca9517681ad163f0cdec5966efe9a35c8b64962458a1d66ab6ea"},"schema_version":"1.0"},"canonical_sha256":"a2dda6c8e81fa91343d6398a24694188ef751da108ca124c408bcd85a0452117","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:29:34.895843Z","signature_b64":"5+CN8O+/9co31lCOa+YoL9e+mbikZ6Sny+hg0vMPv+98sr4mZmk2GjYm/jzRbFgSGIi/vsE77vHvfcIWXQpnBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a2dda6c8e81fa91343d6398a24694188ef751da108ca124c408bcd85a0452117","last_reissued_at":"2026-05-18T00:29:34.895103Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:29:34.895103Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1711.09658","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":"2026-05-18T00:29:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"odJNX3XRGEygL1N2HN5PciJRwtgKz+/ThJ3fNs9Ar9fwWUo3nbjQnEn/gswwEziFtzgy9Q0dYb1iHFGfEwilDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-06T08:42:21.806107Z"},"content_sha256":"81811151778d0889c94e8eb18b5e97fd19aa7b31c09f643665901aa5feff63e1","schema_version":"1.0","event_id":"sha256:81811151778d0889c94e8eb18b5e97fd19aa7b31c09f643665901aa5feff63e1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:ULO2NSHID6URGQ6WHGFCI2KBRD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Feedback Acquisition and Reconstruction of Spectrum-Sparse Signals by Predictive Level Comparisons","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.IT"],"primary_cat":"cs.IT","authors_text":"Farokh Marvasti, Mahdi Boloursaz Mashhadi, Nazanin Rahnavard, Saeed Gazor","submitted_at":"2017-11-27T12:52:06Z","abstract_excerpt":"In this letter, we propose a sparsity promoting feedback acquisition and reconstruction scheme for sensing, encoding and subsequent reconstruction of spectrally sparse signals. In the proposed scheme, the spectral components are estimated utilizing a sparsity-promoting, sliding-window algorithm in a feedback loop. Utilizing the estimated spectral components, a level signal is predicted and sign measurements of the prediction error are acquired. The sparsity promoting algorithm can then estimate the spectral components iteratively from the sign measurements. Unlike many batch-based Compressive "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1711.09658","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":"2026-05-18T00:29:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"s90pdcbJ2a7VHD2AmZznSMxWvMa3mNOWtJENbndb9Q1mFS6oXyAJLMrHHW1pC4Y6rU/OnpS6ZZ4UwsgxhFOcDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-06T08:42:21.806818Z"},"content_sha256":"2be9e9345e8b5178c3d89b0000f34a76ea95d7803d74c370834f6ebf48ad8e5c","schema_version":"1.0","event_id":"sha256:2be9e9345e8b5178c3d89b0000f34a76ea95d7803d74c370834f6ebf48ad8e5c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ULO2NSHID6URGQ6WHGFCI2KBRD/bundle.json","state_url":"https://pith.science/pith/ULO2NSHID6URGQ6WHGFCI2KBRD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ULO2NSHID6URGQ6WHGFCI2KBRD/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":"2026-06-06T08:42:21Z","links":{"resolver":"https://pith.science/pith/ULO2NSHID6URGQ6WHGFCI2KBRD","bundle":"https://pith.science/pith/ULO2NSHID6URGQ6WHGFCI2KBRD/bundle.json","state":"https://pith.science/pith/ULO2NSHID6URGQ6WHGFCI2KBRD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ULO2NSHID6URGQ6WHGFCI2KBRD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:ULO2NSHID6URGQ6WHGFCI2KBRD","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":"60eb6e4b50cbca9517681ad163f0cdec5966efe9a35c8b64962458a1d66ab6ea","cross_cats_sorted":["math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2017-11-27T12:52:06Z","title_canon_sha256":"083e8235bdbc3cfefc8d15b0422a1283f8103f9b00f7e917fde5e06cd0395c57"},"schema_version":"1.0","source":{"id":"1711.09658","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1711.09658","created_at":"2026-05-18T00:29:34Z"},{"alias_kind":"arxiv_version","alias_value":"1711.09658v1","created_at":"2026-05-18T00:29:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1711.09658","created_at":"2026-05-18T00:29:34Z"},{"alias_kind":"pith_short_12","alias_value":"ULO2NSHID6UR","created_at":"2026-05-18T12:31:46Z"},{"alias_kind":"pith_short_16","alias_value":"ULO2NSHID6URGQ6W","created_at":"2026-05-18T12:31:46Z"},{"alias_kind":"pith_short_8","alias_value":"ULO2NSHI","created_at":"2026-05-18T12:31:46Z"}],"graph_snapshots":[{"event_id":"sha256:2be9e9345e8b5178c3d89b0000f34a76ea95d7803d74c370834f6ebf48ad8e5c","target":"graph","created_at":"2026-05-18T00:29:34Z","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 this letter, we propose a sparsity promoting feedback acquisition and reconstruction scheme for sensing, encoding and subsequent reconstruction of spectrally sparse signals. In the proposed scheme, the spectral components are estimated utilizing a sparsity-promoting, sliding-window algorithm in a feedback loop. Utilizing the estimated spectral components, a level signal is predicted and sign measurements of the prediction error are acquired. The sparsity promoting algorithm can then estimate the spectral components iteratively from the sign measurements. Unlike many batch-based Compressive ","authors_text":"Farokh Marvasti, Mahdi Boloursaz Mashhadi, Nazanin Rahnavard, Saeed Gazor","cross_cats":["math.IT"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2017-11-27T12:52:06Z","title":"Feedback Acquisition and Reconstruction of Spectrum-Sparse Signals by Predictive Level Comparisons"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1711.09658","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":"sha256:81811151778d0889c94e8eb18b5e97fd19aa7b31c09f643665901aa5feff63e1","target":"record","created_at":"2026-05-18T00:29:34Z","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":"60eb6e4b50cbca9517681ad163f0cdec5966efe9a35c8b64962458a1d66ab6ea","cross_cats_sorted":["math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2017-11-27T12:52:06Z","title_canon_sha256":"083e8235bdbc3cfefc8d15b0422a1283f8103f9b00f7e917fde5e06cd0395c57"},"schema_version":"1.0","source":{"id":"1711.09658","kind":"arxiv","version":1}},"canonical_sha256":"a2dda6c8e81fa91343d6398a24694188ef751da108ca124c408bcd85a0452117","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a2dda6c8e81fa91343d6398a24694188ef751da108ca124c408bcd85a0452117","first_computed_at":"2026-05-18T00:29:34.895103Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:29:34.895103Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5+CN8O+/9co31lCOa+YoL9e+mbikZ6Sny+hg0vMPv+98sr4mZmk2GjYm/jzRbFgSGIi/vsE77vHvfcIWXQpnBQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:29:34.895843Z","signed_message":"canonical_sha256_bytes"},"source_id":"1711.09658","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:81811151778d0889c94e8eb18b5e97fd19aa7b31c09f643665901aa5feff63e1","sha256:2be9e9345e8b5178c3d89b0000f34a76ea95d7803d74c370834f6ebf48ad8e5c"],"state_sha256":"1cef42f36428c5a8785eec7d29878d5d7fe7a1fb27e9009c1375549ec033889b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"u4bvrWlngXP9zwS2BiBmb/Uq+RNVrsGiZbY6vCm3J92eoB9/eLzAxTZGU79hbFZxkFmGtjXDO56HX3jAziaQDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-06T08:42:21.809941Z","bundle_sha256":"ef6aa9096fa71edc069bea789b30cc294361ac76f1f8573a8987978a612aa40e"}}