{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:IG6T2BDE3RJYCCVLXQHSJKXGCZ","short_pith_number":"pith:IG6T2BDE","canonical_record":{"source":{"id":"1607.03380","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2016-07-12T14:49:05Z","cross_cats_sorted":["math.IT"],"title_canon_sha256":"99477412e7f941d373d61df6e159b3137100be8db825a450dae8679473338c2f","abstract_canon_sha256":"7f6601ad68fad20c5b4d460567fd7b5c6ddcc18b02bea52dbfac05679d6fa323"},"schema_version":"1.0"},"canonical_sha256":"41bd3d0464dc53810aabbc0f24aae61656ab87867dacd13065abde5042d7666c","source":{"kind":"arxiv","id":"1607.03380","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1607.03380","created_at":"2026-05-18T01:11:09Z"},{"alias_kind":"arxiv_version","alias_value":"1607.03380v1","created_at":"2026-05-18T01:11:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1607.03380","created_at":"2026-05-18T01:11:09Z"},{"alias_kind":"pith_short_12","alias_value":"IG6T2BDE3RJY","created_at":"2026-05-18T12:30:22Z"},{"alias_kind":"pith_short_16","alias_value":"IG6T2BDE3RJYCCVL","created_at":"2026-05-18T12:30:22Z"},{"alias_kind":"pith_short_8","alias_value":"IG6T2BDE","created_at":"2026-05-18T12:30:22Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:IG6T2BDE3RJYCCVLXQHSJKXGCZ","target":"record","payload":{"canonical_record":{"source":{"id":"1607.03380","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2016-07-12T14:49:05Z","cross_cats_sorted":["math.IT"],"title_canon_sha256":"99477412e7f941d373d61df6e159b3137100be8db825a450dae8679473338c2f","abstract_canon_sha256":"7f6601ad68fad20c5b4d460567fd7b5c6ddcc18b02bea52dbfac05679d6fa323"},"schema_version":"1.0"},"canonical_sha256":"41bd3d0464dc53810aabbc0f24aae61656ab87867dacd13065abde5042d7666c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:11:09.114692Z","signature_b64":"2NrTIXkun5e10aDpQY31Nos257hJkDOAklhRFH5vSr4hf3TNFi9XjFZ4RG8SzWObcCNKtZfEohDjWPjJ3ncSBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"41bd3d0464dc53810aabbc0f24aae61656ab87867dacd13065abde5042d7666c","last_reissued_at":"2026-05-18T01:11:09.114001Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:11:09.114001Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1607.03380","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":"2026-05-18T01:11:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OpFA0sdnVDbXJV3PvpPgjDb/6VbHzcBHpYA+tS8JI06YKuHnvXmJ3UWMBkr0BuHDM4X8xhwFeLxMCLn/UtO6Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T18:30:01.390310Z"},"content_sha256":"9fe92a94d6b47f4fdc6ab9a6033f4a703fdb8de366cb548d62a2ec917f445d09","schema_version":"1.0","event_id":"sha256:9fe92a94d6b47f4fdc6ab9a6033f4a703fdb8de366cb548d62a2ec917f445d09"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:IG6T2BDE3RJYCCVLXQHSJKXGCZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"An approximate message passing approach for compressive hyperspectral imaging using a simultaneous low-rank and joint-sparsity prior","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.IT"],"primary_cat":"cs.IT","authors_text":"Changchuan Yin, Saurabh Prasad, Wei Chen, Yangqing Li, Zhu Han","submitted_at":"2016-07-12T14:49:05Z","abstract_excerpt":"This paper considers a compressive sensing (CS) approach for hyperspectral data acquisition, which results in a practical compression ratio substantially higher than the state-of-the-art. Applying simultaneous low-rank and joint-sparse (L&S) model to the hyperspectral data, we propose a novel algorithm to joint reconstruction of hyperspectral data based on loopy belief propagation that enables the exploitation of both structured sparsity and amplitude correlations in the data. Experimental results with real hyperspectral datasets demonstrate that the proposed algorithm outperforms the state-of"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1607.03380","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":"2026-05-18T01:11:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eGveSEK8teco/ok0N0usWGJ6k8UPsiiJ7fOwWi8vRQffrvs3yRS8cYoxTtIDWJQJjJiQLWf7QwCnHneORoEVAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T18:30:01.391058Z"},"content_sha256":"93d97bd2f5fe57e618f1069a6ddc4421f3aa53c1c8657a205b7bf4875bd13c7f","schema_version":"1.0","event_id":"sha256:93d97bd2f5fe57e618f1069a6ddc4421f3aa53c1c8657a205b7bf4875bd13c7f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IG6T2BDE3RJYCCVLXQHSJKXGCZ/bundle.json","state_url":"https://pith.science/pith/IG6T2BDE3RJYCCVLXQHSJKXGCZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IG6T2BDE3RJYCCVLXQHSJKXGCZ/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":"2026-06-09T18:30:01Z","links":{"resolver":"https://pith.science/pith/IG6T2BDE3RJYCCVLXQHSJKXGCZ","bundle":"https://pith.science/pith/IG6T2BDE3RJYCCVLXQHSJKXGCZ/bundle.json","state":"https://pith.science/pith/IG6T2BDE3RJYCCVLXQHSJKXGCZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IG6T2BDE3RJYCCVLXQHSJKXGCZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:IG6T2BDE3RJYCCVLXQHSJKXGCZ","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":"7f6601ad68fad20c5b4d460567fd7b5c6ddcc18b02bea52dbfac05679d6fa323","cross_cats_sorted":["math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2016-07-12T14:49:05Z","title_canon_sha256":"99477412e7f941d373d61df6e159b3137100be8db825a450dae8679473338c2f"},"schema_version":"1.0","source":{"id":"1607.03380","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1607.03380","created_at":"2026-05-18T01:11:09Z"},{"alias_kind":"arxiv_version","alias_value":"1607.03380v1","created_at":"2026-05-18T01:11:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1607.03380","created_at":"2026-05-18T01:11:09Z"},{"alias_kind":"pith_short_12","alias_value":"IG6T2BDE3RJY","created_at":"2026-05-18T12:30:22Z"},{"alias_kind":"pith_short_16","alias_value":"IG6T2BDE3RJYCCVL","created_at":"2026-05-18T12:30:22Z"},{"alias_kind":"pith_short_8","alias_value":"IG6T2BDE","created_at":"2026-05-18T12:30:22Z"}],"graph_snapshots":[{"event_id":"sha256:93d97bd2f5fe57e618f1069a6ddc4421f3aa53c1c8657a205b7bf4875bd13c7f","target":"graph","created_at":"2026-05-18T01:11:09Z","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":"This paper considers a compressive sensing (CS) approach for hyperspectral data acquisition, which results in a practical compression ratio substantially higher than the state-of-the-art. Applying simultaneous low-rank and joint-sparse (L&S) model to the hyperspectral data, we propose a novel algorithm to joint reconstruction of hyperspectral data based on loopy belief propagation that enables the exploitation of both structured sparsity and amplitude correlations in the data. Experimental results with real hyperspectral datasets demonstrate that the proposed algorithm outperforms the state-of","authors_text":"Changchuan Yin, Saurabh Prasad, Wei Chen, Yangqing Li, Zhu Han","cross_cats":["math.IT"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2016-07-12T14:49:05Z","title":"An approximate message passing approach for compressive hyperspectral imaging using a simultaneous low-rank and joint-sparsity prior"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1607.03380","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":"sha256:9fe92a94d6b47f4fdc6ab9a6033f4a703fdb8de366cb548d62a2ec917f445d09","target":"record","created_at":"2026-05-18T01:11:09Z","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":"7f6601ad68fad20c5b4d460567fd7b5c6ddcc18b02bea52dbfac05679d6fa323","cross_cats_sorted":["math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2016-07-12T14:49:05Z","title_canon_sha256":"99477412e7f941d373d61df6e159b3137100be8db825a450dae8679473338c2f"},"schema_version":"1.0","source":{"id":"1607.03380","kind":"arxiv","version":1}},"canonical_sha256":"41bd3d0464dc53810aabbc0f24aae61656ab87867dacd13065abde5042d7666c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"41bd3d0464dc53810aabbc0f24aae61656ab87867dacd13065abde5042d7666c","first_computed_at":"2026-05-18T01:11:09.114001Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:11:09.114001Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2NrTIXkun5e10aDpQY31Nos257hJkDOAklhRFH5vSr4hf3TNFi9XjFZ4RG8SzWObcCNKtZfEohDjWPjJ3ncSBQ==","signature_status":"signed_v1","signed_at":"2026-05-18T01:11:09.114692Z","signed_message":"canonical_sha256_bytes"},"source_id":"1607.03380","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9fe92a94d6b47f4fdc6ab9a6033f4a703fdb8de366cb548d62a2ec917f445d09","sha256:93d97bd2f5fe57e618f1069a6ddc4421f3aa53c1c8657a205b7bf4875bd13c7f"],"state_sha256":"64a5ff32c001b0f5a7546519ec69091de7c802b94c827a6085e44b0dfe112559"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Sg8c8Pecd7FAEakgF3+GdcpTdNRu9f2BfrvbYAG/yUNjQG4VG7jWTd11RGlQ4K33prqRoUdcx73bQOx4aVnoCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-09T18:30:01.395160Z","bundle_sha256":"24522c6eb00a5de84e880e06a884e0d1c8341011ab0712cc175533d4de65926d"}}