{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:Z3CMY6HN2V2XZUPMGYBKZOG4TP","short_pith_number":"pith:Z3CMY6HN","canonical_record":{"source":{"id":"2508.02152","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-04T07:49:59Z","cross_cats_sorted":["eess.IV"],"title_canon_sha256":"068adb9810670773fab7389249391909a3c141067474411372fabd836a3369ed","abstract_canon_sha256":"1392f52b2a6412ffbf52db51e96f6e773ae3bac3fc51777d7336388db6fb863d"},"schema_version":"1.0"},"canonical_sha256":"cec4cc78edd5757cd1ec3602acb8dc9bf6e8aa35f7b577c8ceba7b10b7dbb2ee","source":{"kind":"arxiv","id":"2508.02152","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.02152","created_at":"2026-07-05T11:48:09Z"},{"alias_kind":"arxiv_version","alias_value":"2508.02152v1","created_at":"2026-07-05T11:48:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.02152","created_at":"2026-07-05T11:48:09Z"},{"alias_kind":"pith_short_12","alias_value":"Z3CMY6HN2V2X","created_at":"2026-07-05T11:48:09Z"},{"alias_kind":"pith_short_16","alias_value":"Z3CMY6HN2V2XZUPM","created_at":"2026-07-05T11:48:09Z"},{"alias_kind":"pith_short_8","alias_value":"Z3CMY6HN","created_at":"2026-07-05T11:48:09Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:Z3CMY6HN2V2XZUPMGYBKZOG4TP","target":"record","payload":{"canonical_record":{"source":{"id":"2508.02152","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-04T07:49:59Z","cross_cats_sorted":["eess.IV"],"title_canon_sha256":"068adb9810670773fab7389249391909a3c141067474411372fabd836a3369ed","abstract_canon_sha256":"1392f52b2a6412ffbf52db51e96f6e773ae3bac3fc51777d7336388db6fb863d"},"schema_version":"1.0"},"canonical_sha256":"cec4cc78edd5757cd1ec3602acb8dc9bf6e8aa35f7b577c8ceba7b10b7dbb2ee","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:48:09.299283Z","signature_b64":"PYcVVFrZjM31+PTfA308hrUz6kIfIbuIwbJ3ra7j58ekswdFSKqfll0p9TMlvGlnIAXoM3FLbysfZsIRGtwUAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cec4cc78edd5757cd1ec3602acb8dc9bf6e8aa35f7b577c8ceba7b10b7dbb2ee","last_reissued_at":"2026-07-05T11:48:09.298796Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:48:09.298796Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2508.02152","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":"2026-07-05T11:48:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HTHwkjePb3OT+89SYnHvehMaMr0p1kvraf77doqKw4cv4G+Ud9fg8YCa6garyQ76eO6TC7ysH+wnyxBOvE7SDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T08:15:12.002424Z"},"content_sha256":"93068c8a058ec7aa1ab0aa3025b7d5a3ccce1d4c7c9dcbf9e2b933a881c81bb5","schema_version":"1.0","event_id":"sha256:93068c8a058ec7aa1ab0aa3025b7d5a3ccce1d4c7c9dcbf9e2b933a881c81bb5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:Z3CMY6HN2V2XZUPMGYBKZOG4TP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Efficient Chambolle-Pock based algorithms for Convoltional sparse representation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["eess.IV"],"primary_cat":"cs.CV","authors_text":"Haowei Tang, Junjing Li, Pengcheng Zhang, Tianling Lyu, Yang Chen, Yi Liu, Zhiguo Gui","submitted_at":"2025-08-04T07:49:59Z","abstract_excerpt":"Recently convolutional sparse representation (CSR), as a sparse representation technique, has attracted increasing attention in the field of image processing, due to its good characteristic of translate-invariance. The content of CSR usually consists of convolutional sparse coding (CSC) and convolutional dictionary learning (CDL), and many studies focus on how to solve the corresponding optimization problems. At present, the most efficient optimization scheme for CSC is based on the alternating direction method of multipliers (ADMM). However, the ADMM-based approach involves a penalty paramete"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.02152","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2508.02152/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2026-07-05T11:48:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1PcdECvtwnk0DTos9fWrt4N47pUD7GUN+X3kRpZIHnkdDwSKjhP+lwZ8J69jUkC5jdvofRor5gosoFT0vabaDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T08:15:12.002936Z"},"content_sha256":"3a4bb556d9e6795e2aaa3b50e4dc8a68449563f8331a19d666a1b4aa6be39953","schema_version":"1.0","event_id":"sha256:3a4bb556d9e6795e2aaa3b50e4dc8a68449563f8331a19d666a1b4aa6be39953"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/Z3CMY6HN2V2XZUPMGYBKZOG4TP/bundle.json","state_url":"https://pith.science/pith/Z3CMY6HN2V2XZUPMGYBKZOG4TP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/Z3CMY6HN2V2XZUPMGYBKZOG4TP/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":"2026-08-05T08:15:12Z","links":{"resolver":"https://pith.science/pith/Z3CMY6HN2V2XZUPMGYBKZOG4TP","bundle":"https://pith.science/pith/Z3CMY6HN2V2XZUPMGYBKZOG4TP/bundle.json","state":"https://pith.science/pith/Z3CMY6HN2V2XZUPMGYBKZOG4TP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/Z3CMY6HN2V2XZUPMGYBKZOG4TP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:Z3CMY6HN2V2XZUPMGYBKZOG4TP","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":"1392f52b2a6412ffbf52db51e96f6e773ae3bac3fc51777d7336388db6fb863d","cross_cats_sorted":["eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-04T07:49:59Z","title_canon_sha256":"068adb9810670773fab7389249391909a3c141067474411372fabd836a3369ed"},"schema_version":"1.0","source":{"id":"2508.02152","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.02152","created_at":"2026-07-05T11:48:09Z"},{"alias_kind":"arxiv_version","alias_value":"2508.02152v1","created_at":"2026-07-05T11:48:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.02152","created_at":"2026-07-05T11:48:09Z"},{"alias_kind":"pith_short_12","alias_value":"Z3CMY6HN2V2X","created_at":"2026-07-05T11:48:09Z"},{"alias_kind":"pith_short_16","alias_value":"Z3CMY6HN2V2XZUPM","created_at":"2026-07-05T11:48:09Z"},{"alias_kind":"pith_short_8","alias_value":"Z3CMY6HN","created_at":"2026-07-05T11:48:09Z"}],"graph_snapshots":[{"event_id":"sha256:3a4bb556d9e6795e2aaa3b50e4dc8a68449563f8331a19d666a1b4aa6be39953","target":"graph","created_at":"2026-07-05T11:48:09Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2508.02152/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recently convolutional sparse representation (CSR), as a sparse representation technique, has attracted increasing attention in the field of image processing, due to its good characteristic of translate-invariance. The content of CSR usually consists of convolutional sparse coding (CSC) and convolutional dictionary learning (CDL), and many studies focus on how to solve the corresponding optimization problems. At present, the most efficient optimization scheme for CSC is based on the alternating direction method of multipliers (ADMM). However, the ADMM-based approach involves a penalty paramete","authors_text":"Haowei Tang, Junjing Li, Pengcheng Zhang, Tianling Lyu, Yang Chen, Yi Liu, Zhiguo Gui","cross_cats":["eess.IV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-04T07:49:59Z","title":"Efficient Chambolle-Pock based algorithms for Convoltional sparse representation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.02152","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":"sha256:93068c8a058ec7aa1ab0aa3025b7d5a3ccce1d4c7c9dcbf9e2b933a881c81bb5","target":"record","created_at":"2026-07-05T11:48:09Z","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":"1392f52b2a6412ffbf52db51e96f6e773ae3bac3fc51777d7336388db6fb863d","cross_cats_sorted":["eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-04T07:49:59Z","title_canon_sha256":"068adb9810670773fab7389249391909a3c141067474411372fabd836a3369ed"},"schema_version":"1.0","source":{"id":"2508.02152","kind":"arxiv","version":1}},"canonical_sha256":"cec4cc78edd5757cd1ec3602acb8dc9bf6e8aa35f7b577c8ceba7b10b7dbb2ee","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cec4cc78edd5757cd1ec3602acb8dc9bf6e8aa35f7b577c8ceba7b10b7dbb2ee","first_computed_at":"2026-07-05T11:48:09.298796Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:48:09.298796Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"PYcVVFrZjM31+PTfA308hrUz6kIfIbuIwbJ3ra7j58ekswdFSKqfll0p9TMlvGlnIAXoM3FLbysfZsIRGtwUAA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:48:09.299283Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.02152","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:93068c8a058ec7aa1ab0aa3025b7d5a3ccce1d4c7c9dcbf9e2b933a881c81bb5","sha256:3a4bb556d9e6795e2aaa3b50e4dc8a68449563f8331a19d666a1b4aa6be39953"],"state_sha256":"7bf1131e0169acb48662f75cbb84cf774164ec9e71c7a80becaa84457b200c51"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DUA3uHYVJZAF2MpiDyhqqXxTLezznyA50yKEuoRPF6P3a94hgrQoSLhmMuWShBagEJAXCkOq3WKzifmPMB1CCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T08:15:12.006516Z","bundle_sha256":"2e141ba6b8e9870bb51a7eab12f6c0e13db9127a57f42a72b6948ac12fbf1fae"}}