{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2014:HNZ6TXKF3HGXTQ4PO6GDCUA3AN","short_pith_number":"pith:HNZ6TXKF","canonical_record":{"source":{"id":"1412.4576","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MM","submitted_at":"2014-12-15T13:19:24Z","cross_cats_sorted":[],"title_canon_sha256":"ca257793c562609080443fa7100a7cb97c29090ee39b19ac52e9c3285bd94216","abstract_canon_sha256":"c0ce6e861cbd3a4f9cd7d533439744bf4ea09c4fc10b7c7558dad1740f107ca3"},"schema_version":"1.0"},"canonical_sha256":"3b73e9dd45d9cd79c38f778c31501b037d4e936b4a70b1286f1f79922555e7f7","source":{"kind":"arxiv","id":"1412.4576","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1412.4576","created_at":"2026-05-18T02:31:18Z"},{"alias_kind":"arxiv_version","alias_value":"1412.4576v1","created_at":"2026-05-18T02:31:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1412.4576","created_at":"2026-05-18T02:31:18Z"},{"alias_kind":"pith_short_12","alias_value":"HNZ6TXKF3HGX","created_at":"2026-05-18T12:28:30Z"},{"alias_kind":"pith_short_16","alias_value":"HNZ6TXKF3HGXTQ4P","created_at":"2026-05-18T12:28:30Z"},{"alias_kind":"pith_short_8","alias_value":"HNZ6TXKF","created_at":"2026-05-18T12:28:30Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2014:HNZ6TXKF3HGXTQ4PO6GDCUA3AN","target":"record","payload":{"canonical_record":{"source":{"id":"1412.4576","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MM","submitted_at":"2014-12-15T13:19:24Z","cross_cats_sorted":[],"title_canon_sha256":"ca257793c562609080443fa7100a7cb97c29090ee39b19ac52e9c3285bd94216","abstract_canon_sha256":"c0ce6e861cbd3a4f9cd7d533439744bf4ea09c4fc10b7c7558dad1740f107ca3"},"schema_version":"1.0"},"canonical_sha256":"3b73e9dd45d9cd79c38f778c31501b037d4e936b4a70b1286f1f79922555e7f7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:31:18.776229Z","signature_b64":"BWXNvs/cphbUYJvQOitTzFZ3oAjdFeJrzZCApB3t1PtSeu8z/VoUt1WgDM8dD0OpySj0WQaCS36sZ0KSVJogCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3b73e9dd45d9cd79c38f778c31501b037d4e936b4a70b1286f1f79922555e7f7","last_reissued_at":"2026-05-18T02:31:18.775618Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:31:18.775618Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1412.4576","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":"2026-05-18T02:31:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"r2Qq5dMWzQRzVyRFkjbze3MEc/zer+/hbwY37vAyG8AJOnManec63T4Dp399NesS0q7qY6eo66ZBAI5KMBwqAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T09:21:01.311338Z"},"content_sha256":"41c0531232a26f21b64917db71da289df6963cb05a924a5f5f01257b4cf9a781","schema_version":"1.0","event_id":"sha256:41c0531232a26f21b64917db71da289df6963cb05a924a5f5f01257b4cf9a781"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2014:HNZ6TXKF3HGXTQ4PO6GDCUA3AN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Multi-Hypothesis Compressed Video Sensing Technique","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.MM","authors_text":"Farokh Marvasti, Masoumeh Azghani, Mostafa Karimi","submitted_at":"2014-12-15T13:19:24Z","abstract_excerpt":"In this paper, we present a compressive sampling and Multi-Hypothesis (MH) reconstruction strategy for video sequences which has a rather simple encoder, while the decoding system is not that complex. We introduce a convex cost function that incorporates the MH technique with the sparsity constraint and the Tikhonov regularization. Consequently, we derive a new iterative algorithm based on these criteria. This algorithm surpasses its counterparts (Elasticnet and Tikhonov) in the recovery performance. Besides it is computationally much faster than the Elasticnet and comparable to the Tikhonov. "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1412.4576","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":"2026-05-18T02:31:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JV08itBrI7PVSxyvTswN4Qd50Tciqokg0W6k2zDLEqgOIePJIsB9QXQI41zu7h7BmCV9JoLmJUFfYPIuUhFVAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T09:21:01.311682Z"},"content_sha256":"3813f2916138d86ed0e022011be6c2ac3ba28345ec7bca23420e9768f8400bf8","schema_version":"1.0","event_id":"sha256:3813f2916138d86ed0e022011be6c2ac3ba28345ec7bca23420e9768f8400bf8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HNZ6TXKF3HGXTQ4PO6GDCUA3AN/bundle.json","state_url":"https://pith.science/pith/HNZ6TXKF3HGXTQ4PO6GDCUA3AN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HNZ6TXKF3HGXTQ4PO6GDCUA3AN/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":"2026-06-01T09:21:01Z","links":{"resolver":"https://pith.science/pith/HNZ6TXKF3HGXTQ4PO6GDCUA3AN","bundle":"https://pith.science/pith/HNZ6TXKF3HGXTQ4PO6GDCUA3AN/bundle.json","state":"https://pith.science/pith/HNZ6TXKF3HGXTQ4PO6GDCUA3AN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HNZ6TXKF3HGXTQ4PO6GDCUA3AN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2014:HNZ6TXKF3HGXTQ4PO6GDCUA3AN","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":"c0ce6e861cbd3a4f9cd7d533439744bf4ea09c4fc10b7c7558dad1740f107ca3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MM","submitted_at":"2014-12-15T13:19:24Z","title_canon_sha256":"ca257793c562609080443fa7100a7cb97c29090ee39b19ac52e9c3285bd94216"},"schema_version":"1.0","source":{"id":"1412.4576","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1412.4576","created_at":"2026-05-18T02:31:18Z"},{"alias_kind":"arxiv_version","alias_value":"1412.4576v1","created_at":"2026-05-18T02:31:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1412.4576","created_at":"2026-05-18T02:31:18Z"},{"alias_kind":"pith_short_12","alias_value":"HNZ6TXKF3HGX","created_at":"2026-05-18T12:28:30Z"},{"alias_kind":"pith_short_16","alias_value":"HNZ6TXKF3HGXTQ4P","created_at":"2026-05-18T12:28:30Z"},{"alias_kind":"pith_short_8","alias_value":"HNZ6TXKF","created_at":"2026-05-18T12:28:30Z"}],"graph_snapshots":[{"event_id":"sha256:3813f2916138d86ed0e022011be6c2ac3ba28345ec7bca23420e9768f8400bf8","target":"graph","created_at":"2026-05-18T02:31:18Z","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 paper, we present a compressive sampling and Multi-Hypothesis (MH) reconstruction strategy for video sequences which has a rather simple encoder, while the decoding system is not that complex. We introduce a convex cost function that incorporates the MH technique with the sparsity constraint and the Tikhonov regularization. Consequently, we derive a new iterative algorithm based on these criteria. This algorithm surpasses its counterparts (Elasticnet and Tikhonov) in the recovery performance. Besides it is computationally much faster than the Elasticnet and comparable to the Tikhonov. ","authors_text":"Farokh Marvasti, Masoumeh Azghani, Mostafa Karimi","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MM","submitted_at":"2014-12-15T13:19:24Z","title":"Multi-Hypothesis Compressed Video Sensing Technique"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1412.4576","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":"sha256:41c0531232a26f21b64917db71da289df6963cb05a924a5f5f01257b4cf9a781","target":"record","created_at":"2026-05-18T02:31:18Z","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":"c0ce6e861cbd3a4f9cd7d533439744bf4ea09c4fc10b7c7558dad1740f107ca3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MM","submitted_at":"2014-12-15T13:19:24Z","title_canon_sha256":"ca257793c562609080443fa7100a7cb97c29090ee39b19ac52e9c3285bd94216"},"schema_version":"1.0","source":{"id":"1412.4576","kind":"arxiv","version":1}},"canonical_sha256":"3b73e9dd45d9cd79c38f778c31501b037d4e936b4a70b1286f1f79922555e7f7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3b73e9dd45d9cd79c38f778c31501b037d4e936b4a70b1286f1f79922555e7f7","first_computed_at":"2026-05-18T02:31:18.775618Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:31:18.775618Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"BWXNvs/cphbUYJvQOitTzFZ3oAjdFeJrzZCApB3t1PtSeu8z/VoUt1WgDM8dD0OpySj0WQaCS36sZ0KSVJogCQ==","signature_status":"signed_v1","signed_at":"2026-05-18T02:31:18.776229Z","signed_message":"canonical_sha256_bytes"},"source_id":"1412.4576","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:41c0531232a26f21b64917db71da289df6963cb05a924a5f5f01257b4cf9a781","sha256:3813f2916138d86ed0e022011be6c2ac3ba28345ec7bca23420e9768f8400bf8"],"state_sha256":"a33ba66368a672c5988833e97a6bdbcbfe10eaa865d73395e7f93ab61dd07492"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"npGr30lTIzpDKEazEFAgjjrH8rD/TXUvNtwmu9LGURmv/OYyTKPg2qvI3YitUMM0cxf/LRIyy4O+5GAV6qP4AA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-01T09:21:01.313595Z","bundle_sha256":"01765c058c2f126dab43ea6691c6eee563b113ce220fe3806b0e3adabb06505f"}}