{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:QA7CTSZQPDGJMGBF53WQC44UWR","short_pith_number":"pith:QA7CTSZQ","canonical_record":{"source":{"id":"1903.07479","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-03-18T14:39:20Z","cross_cats_sorted":["cs.CV","stat.ML"],"title_canon_sha256":"38d9ce1d5ac8c8f2c1b4ac3213c8a9e6d0d70336bc53f570383c1fb0a7a9ae61","abstract_canon_sha256":"d86863e550d41120ccb07545b005ae5a30c0ca87bc451e92c28ee8bd98214695"},"schema_version":"1.0"},"canonical_sha256":"803e29cb3078cc961825eeed017394b44afe63600fbab86b2bb7aba602aaa3e2","source":{"kind":"arxiv","id":"1903.07479","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1903.07479","created_at":"2026-05-17T23:51:01Z"},{"alias_kind":"arxiv_version","alias_value":"1903.07479v1","created_at":"2026-05-17T23:51:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1903.07479","created_at":"2026-05-17T23:51:01Z"},{"alias_kind":"pith_short_12","alias_value":"QA7CTSZQPDGJ","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_16","alias_value":"QA7CTSZQPDGJMGBF","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_8","alias_value":"QA7CTSZQ","created_at":"2026-05-18T12:33:27Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:QA7CTSZQPDGJMGBF53WQC44UWR","target":"record","payload":{"canonical_record":{"source":{"id":"1903.07479","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-03-18T14:39:20Z","cross_cats_sorted":["cs.CV","stat.ML"],"title_canon_sha256":"38d9ce1d5ac8c8f2c1b4ac3213c8a9e6d0d70336bc53f570383c1fb0a7a9ae61","abstract_canon_sha256":"d86863e550d41120ccb07545b005ae5a30c0ca87bc451e92c28ee8bd98214695"},"schema_version":"1.0"},"canonical_sha256":"803e29cb3078cc961825eeed017394b44afe63600fbab86b2bb7aba602aaa3e2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:51:01.302075Z","signature_b64":"lihxxtLHEmHG3gWQMb6bTkY93ZHJPKs4zUrDKxr8Nv//pk0D2+oZJKOaKSn7H+M5Ga5yVmKoASbCopvezHDHCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"803e29cb3078cc961825eeed017394b44afe63600fbab86b2bb7aba602aaa3e2","last_reissued_at":"2026-05-17T23:51:01.301443Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:51:01.301443Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1903.07479","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":"2026-05-17T23:51:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FllYJT2uTKs6OCc+3iHFHRod3CSYgAzAnjWmXZrKogTKd0qfHsquJXaeaEPIHCp6d4iSypv9o4TjMCalX2TSDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T19:05:08.333183Z"},"content_sha256":"ee68be2921fa9c42eb073496ae7a52015d75da68d19d2cf24f5e16b86104336e","schema_version":"1.0","event_id":"sha256:ee68be2921fa9c42eb073496ae7a52015d75da68d19d2cf24f5e16b86104336e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:QA7CTSZQPDGJMGBF53WQC44UWR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Offline and Online Deep Learning for Image Recognition","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV","stat.ML"],"primary_cat":"cs.LG","authors_text":"Bernardete Ribeiro, Nguyen Huu Phong","submitted_at":"2019-03-18T14:39:20Z","abstract_excerpt":"Image recognition using Deep Learning has been evolved for decades though advances in the field through different settings is still a challenge. In this paper, we present our findings in searching for better image classifiers in offline and online environments. We resort to Convolutional Neural Network and its variations of fully connected Multi-layer Perceptron. Though still preliminary, these results are encouraging and may provide a better understanding about the field and directions toward future works."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1903.07479","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":"2026-05-17T23:51:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GnbBBuHrRncEyoZpjgVCqieHmN8y63kUtz2EYiYEhzfSvDfhI/zs4qbatVHIGXTFEREagFlWehRgqZVImkyKBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T19:05:08.333891Z"},"content_sha256":"c87bb4e65aa53b52a301448281a7935d8ba5419b66da34d4b75a757b0f9130fb","schema_version":"1.0","event_id":"sha256:c87bb4e65aa53b52a301448281a7935d8ba5419b66da34d4b75a757b0f9130fb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QA7CTSZQPDGJMGBF53WQC44UWR/bundle.json","state_url":"https://pith.science/pith/QA7CTSZQPDGJMGBF53WQC44UWR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QA7CTSZQPDGJMGBF53WQC44UWR/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":"2026-05-31T19:05:08Z","links":{"resolver":"https://pith.science/pith/QA7CTSZQPDGJMGBF53WQC44UWR","bundle":"https://pith.science/pith/QA7CTSZQPDGJMGBF53WQC44UWR/bundle.json","state":"https://pith.science/pith/QA7CTSZQPDGJMGBF53WQC44UWR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QA7CTSZQPDGJMGBF53WQC44UWR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:QA7CTSZQPDGJMGBF53WQC44UWR","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":"d86863e550d41120ccb07545b005ae5a30c0ca87bc451e92c28ee8bd98214695","cross_cats_sorted":["cs.CV","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-03-18T14:39:20Z","title_canon_sha256":"38d9ce1d5ac8c8f2c1b4ac3213c8a9e6d0d70336bc53f570383c1fb0a7a9ae61"},"schema_version":"1.0","source":{"id":"1903.07479","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1903.07479","created_at":"2026-05-17T23:51:01Z"},{"alias_kind":"arxiv_version","alias_value":"1903.07479v1","created_at":"2026-05-17T23:51:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1903.07479","created_at":"2026-05-17T23:51:01Z"},{"alias_kind":"pith_short_12","alias_value":"QA7CTSZQPDGJ","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_16","alias_value":"QA7CTSZQPDGJMGBF","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_8","alias_value":"QA7CTSZQ","created_at":"2026-05-18T12:33:27Z"}],"graph_snapshots":[{"event_id":"sha256:c87bb4e65aa53b52a301448281a7935d8ba5419b66da34d4b75a757b0f9130fb","target":"graph","created_at":"2026-05-17T23:51:01Z","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":"Image recognition using Deep Learning has been evolved for decades though advances in the field through different settings is still a challenge. In this paper, we present our findings in searching for better image classifiers in offline and online environments. We resort to Convolutional Neural Network and its variations of fully connected Multi-layer Perceptron. Though still preliminary, these results are encouraging and may provide a better understanding about the field and directions toward future works.","authors_text":"Bernardete Ribeiro, Nguyen Huu Phong","cross_cats":["cs.CV","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-03-18T14:39:20Z","title":"Offline and Online Deep Learning for Image Recognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1903.07479","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:ee68be2921fa9c42eb073496ae7a52015d75da68d19d2cf24f5e16b86104336e","target":"record","created_at":"2026-05-17T23:51:01Z","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":"d86863e550d41120ccb07545b005ae5a30c0ca87bc451e92c28ee8bd98214695","cross_cats_sorted":["cs.CV","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-03-18T14:39:20Z","title_canon_sha256":"38d9ce1d5ac8c8f2c1b4ac3213c8a9e6d0d70336bc53f570383c1fb0a7a9ae61"},"schema_version":"1.0","source":{"id":"1903.07479","kind":"arxiv","version":1}},"canonical_sha256":"803e29cb3078cc961825eeed017394b44afe63600fbab86b2bb7aba602aaa3e2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"803e29cb3078cc961825eeed017394b44afe63600fbab86b2bb7aba602aaa3e2","first_computed_at":"2026-05-17T23:51:01.301443Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:51:01.301443Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"lihxxtLHEmHG3gWQMb6bTkY93ZHJPKs4zUrDKxr8Nv//pk0D2+oZJKOaKSn7H+M5Ga5yVmKoASbCopvezHDHCg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:51:01.302075Z","signed_message":"canonical_sha256_bytes"},"source_id":"1903.07479","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ee68be2921fa9c42eb073496ae7a52015d75da68d19d2cf24f5e16b86104336e","sha256:c87bb4e65aa53b52a301448281a7935d8ba5419b66da34d4b75a757b0f9130fb"],"state_sha256":"cbe6dada966bb56343ced990456c6a14fc9e492e15a20d2e02730eb7baa875f7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"POxsvutWJylWa/WwCnUypPEW/aVC4EFdyM3j9b8qe4WoaMn1rhSKrnYHaLz+DaR/9UT/n/KEYblCak7oMFrACQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-31T19:05:08.337947Z","bundle_sha256":"e57b9a6656f2a62e38b766e9f02e0f7cedfb0221d748bddb641798bd63963eaf"}}