{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:EQPLT3QWZ4LS4GJSFTMHRLPJ43","short_pith_number":"pith:EQPLT3QW","canonical_record":{"source":{"id":"1706.09563","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-06-29T03:25:32Z","cross_cats_sorted":["cs.CV","eess.IV"],"title_canon_sha256":"1c3694ba12b3ecb30a852aceac15a28b720852dfdcad32099649d793cdb8df2a","abstract_canon_sha256":"89f4f97b004aaf7a8d28e9a773681ca7752afaf131de116e85cabd03795e0fec"},"schema_version":"1.0"},"canonical_sha256":"241eb9ee16cf172e19322cd878ade9e6c22abe74a8a0d5f97a7daaffe6df4107","source":{"kind":"arxiv","id":"1706.09563","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1706.09563","created_at":"2026-05-18T00:22:44Z"},{"alias_kind":"arxiv_version","alias_value":"1706.09563v2","created_at":"2026-05-18T00:22:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1706.09563","created_at":"2026-05-18T00:22:44Z"},{"alias_kind":"pith_short_12","alias_value":"EQPLT3QWZ4LS","created_at":"2026-05-18T12:31:12Z"},{"alias_kind":"pith_short_16","alias_value":"EQPLT3QWZ4LS4GJS","created_at":"2026-05-18T12:31:12Z"},{"alias_kind":"pith_short_8","alias_value":"EQPLT3QW","created_at":"2026-05-18T12:31:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:EQPLT3QWZ4LS4GJSFTMHRLPJ43","target":"record","payload":{"canonical_record":{"source":{"id":"1706.09563","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-06-29T03:25:32Z","cross_cats_sorted":["cs.CV","eess.IV"],"title_canon_sha256":"1c3694ba12b3ecb30a852aceac15a28b720852dfdcad32099649d793cdb8df2a","abstract_canon_sha256":"89f4f97b004aaf7a8d28e9a773681ca7752afaf131de116e85cabd03795e0fec"},"schema_version":"1.0"},"canonical_sha256":"241eb9ee16cf172e19322cd878ade9e6c22abe74a8a0d5f97a7daaffe6df4107","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:22:44.683476Z","signature_b64":"bBJ6G6VbVo4a5MagSrXLMlZ4jsA0+CSXkw7+WOKIlSd1DJ4GE2QNA1lKvERostgJrNHF5pvLfcbBxmZsDC2dBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"241eb9ee16cf172e19322cd878ade9e6c22abe74a8a0d5f97a7daaffe6df4107","last_reissued_at":"2026-05-18T00:22:44.683002Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:22:44.683002Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1706.09563","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:22:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hLYRmxxp5nBnsYPSvtzdJUyxwf2VlJlIUFW0YUkwgtaBa27KlqZhwE+m2iLyuHnsEjf6sqjloPczl1atHYziAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T01:09:47.348541Z"},"content_sha256":"1c957b392ae1187a54748d93aa4118d2b3b43da49527d242b15782259ba8fb55","schema_version":"1.0","event_id":"sha256:1c957b392ae1187a54748d93aa4118d2b3b43da49527d242b15782259ba8fb55"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:EQPLT3QWZ4LS4GJSFTMHRLPJ43","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Online Convolutional Dictionary Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV","eess.IV"],"primary_cat":"cs.LG","authors_text":"Brendt Wohlberg, Cristina Garcia-Cardona, Jialin Liu, Wotao Yin","submitted_at":"2017-06-29T03:25:32Z","abstract_excerpt":"While a number of different algorithms have recently been proposed for convolutional dictionary learning, this remains an expensive problem. The single biggest impediment to learning from large training sets is the memory requirements, which grow at least linearly with the size of the training set since all existing methods are batch algorithms. The work reported here addresses this limitation by extending online dictionary learning ideas to the convolutional context."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1706.09563","kind":"arxiv","version":2},"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":"2026-05-18T00:22:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Wsgfh68iU767VFUBJ76A6siCkY5YQ8AJxHf7uQVOct9E9C9BHEDzB96RhS8eLmRqoscpoihZPRXtbhGWEyu0BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T01:09:47.348920Z"},"content_sha256":"5a16c902464d903026f56c1dff54a93f647ca945939ca71fb10cc85e5d7c2870","schema_version":"1.0","event_id":"sha256:5a16c902464d903026f56c1dff54a93f647ca945939ca71fb10cc85e5d7c2870"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EQPLT3QWZ4LS4GJSFTMHRLPJ43/bundle.json","state_url":"https://pith.science/pith/EQPLT3QWZ4LS4GJSFTMHRLPJ43/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EQPLT3QWZ4LS4GJSFTMHRLPJ43/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":"2026-05-30T01:09:47Z","links":{"resolver":"https://pith.science/pith/EQPLT3QWZ4LS4GJSFTMHRLPJ43","bundle":"https://pith.science/pith/EQPLT3QWZ4LS4GJSFTMHRLPJ43/bundle.json","state":"https://pith.science/pith/EQPLT3QWZ4LS4GJSFTMHRLPJ43/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EQPLT3QWZ4LS4GJSFTMHRLPJ43/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:EQPLT3QWZ4LS4GJSFTMHRLPJ43","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":"89f4f97b004aaf7a8d28e9a773681ca7752afaf131de116e85cabd03795e0fec","cross_cats_sorted":["cs.CV","eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-06-29T03:25:32Z","title_canon_sha256":"1c3694ba12b3ecb30a852aceac15a28b720852dfdcad32099649d793cdb8df2a"},"schema_version":"1.0","source":{"id":"1706.09563","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1706.09563","created_at":"2026-05-18T00:22:44Z"},{"alias_kind":"arxiv_version","alias_value":"1706.09563v2","created_at":"2026-05-18T00:22:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1706.09563","created_at":"2026-05-18T00:22:44Z"},{"alias_kind":"pith_short_12","alias_value":"EQPLT3QWZ4LS","created_at":"2026-05-18T12:31:12Z"},{"alias_kind":"pith_short_16","alias_value":"EQPLT3QWZ4LS4GJS","created_at":"2026-05-18T12:31:12Z"},{"alias_kind":"pith_short_8","alias_value":"EQPLT3QW","created_at":"2026-05-18T12:31:12Z"}],"graph_snapshots":[{"event_id":"sha256:5a16c902464d903026f56c1dff54a93f647ca945939ca71fb10cc85e5d7c2870","target":"graph","created_at":"2026-05-18T00:22:44Z","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":"While a number of different algorithms have recently been proposed for convolutional dictionary learning, this remains an expensive problem. The single biggest impediment to learning from large training sets is the memory requirements, which grow at least linearly with the size of the training set since all existing methods are batch algorithms. The work reported here addresses this limitation by extending online dictionary learning ideas to the convolutional context.","authors_text":"Brendt Wohlberg, Cristina Garcia-Cardona, Jialin Liu, Wotao Yin","cross_cats":["cs.CV","eess.IV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-06-29T03:25:32Z","title":"Online Convolutional Dictionary Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1706.09563","kind":"arxiv","version":2},"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":"sha256:1c957b392ae1187a54748d93aa4118d2b3b43da49527d242b15782259ba8fb55","target":"record","created_at":"2026-05-18T00:22:44Z","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":"89f4f97b004aaf7a8d28e9a773681ca7752afaf131de116e85cabd03795e0fec","cross_cats_sorted":["cs.CV","eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-06-29T03:25:32Z","title_canon_sha256":"1c3694ba12b3ecb30a852aceac15a28b720852dfdcad32099649d793cdb8df2a"},"schema_version":"1.0","source":{"id":"1706.09563","kind":"arxiv","version":2}},"canonical_sha256":"241eb9ee16cf172e19322cd878ade9e6c22abe74a8a0d5f97a7daaffe6df4107","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"241eb9ee16cf172e19322cd878ade9e6c22abe74a8a0d5f97a7daaffe6df4107","first_computed_at":"2026-05-18T00:22:44.683002Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:22:44.683002Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bBJ6G6VbVo4a5MagSrXLMlZ4jsA0+CSXkw7+WOKIlSd1DJ4GE2QNA1lKvERostgJrNHF5pvLfcbBxmZsDC2dBA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:22:44.683476Z","signed_message":"canonical_sha256_bytes"},"source_id":"1706.09563","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1c957b392ae1187a54748d93aa4118d2b3b43da49527d242b15782259ba8fb55","sha256:5a16c902464d903026f56c1dff54a93f647ca945939ca71fb10cc85e5d7c2870"],"state_sha256":"e9efedc4fa7edd55fcf8a07eb88b40d397573a856657b272fe72975a248beba4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oPO0ODeWQks8roVIe5whvjF+GBnBdx3sX8HahIssBp6lRjnttATCc84KncBu0HQW79yYOAU7Ri0UIXFTbqDLBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-30T01:09:47.350920Z","bundle_sha256":"f98762d8da81afba050728622b461cd57f13ec6ede1193b681ec22b78162140b"}}