{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:WWDHEKZ6D7RL62652GAT7SB45O","short_pith_number":"pith:WWDHEKZ6","canonical_record":{"source":{"id":"2005.01004","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2020-05-03T06:44:38Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"e4a9deb4d183b7b9c89d31b28d546b55fdd40e8498f985cbf9f0c3f1caed1f02","abstract_canon_sha256":"a85f6921ce23ec78dff6041efed502fa11b271824597c23081291e193ef52c85"},"schema_version":"1.0"},"canonical_sha256":"b586722b3e1fe2bf6bddd1813fc83cebb69b1011cbb3a4baee1a05b108c07950","source":{"kind":"arxiv","id":"2005.01004","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2005.01004","created_at":"2026-07-05T04:42:45Z"},{"alias_kind":"arxiv_version","alias_value":"2005.01004v3","created_at":"2026-07-05T04:42:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2005.01004","created_at":"2026-07-05T04:42:45Z"},{"alias_kind":"pith_short_12","alias_value":"WWDHEKZ6D7RL","created_at":"2026-07-05T04:42:45Z"},{"alias_kind":"pith_short_16","alias_value":"WWDHEKZ6D7RL6265","created_at":"2026-07-05T04:42:45Z"},{"alias_kind":"pith_short_8","alias_value":"WWDHEKZ6","created_at":"2026-07-05T04:42:45Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:WWDHEKZ6D7RL62652GAT7SB45O","target":"record","payload":{"canonical_record":{"source":{"id":"2005.01004","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2020-05-03T06:44:38Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"e4a9deb4d183b7b9c89d31b28d546b55fdd40e8498f985cbf9f0c3f1caed1f02","abstract_canon_sha256":"a85f6921ce23ec78dff6041efed502fa11b271824597c23081291e193ef52c85"},"schema_version":"1.0"},"canonical_sha256":"b586722b3e1fe2bf6bddd1813fc83cebb69b1011cbb3a4baee1a05b108c07950","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:42:45.336521Z","signature_b64":"n7ZtWWqOQwAlwL3ndGjNjBVC0QH6/Mv/NiQB09+MxCTnA8NPGj6GjyoN2iJv32+yKjnZIulGG1x+OK33X6TNBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b586722b3e1fe2bf6bddd1813fc83cebb69b1011cbb3a4baee1a05b108c07950","last_reissued_at":"2026-07-05T04:42:45.336071Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:42:45.336071Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2005.01004","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T04:42:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FDcQRI7T1qkBkl0cRBW9LE4aeLPa5pKh8wFayAWMPg1sjfiLcbfspSt1z0LaXLv2lxb2tL+LgWcJ8zID5SDiBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-31T14:17:02.715331Z"},"content_sha256":"353adc05bbd53b9ccd4013c2765f936a29121856fb74f84b88efb013cf2d4125","schema_version":"1.0","event_id":"sha256:353adc05bbd53b9ccd4013c2765f936a29121856fb74f84b88efb013cf2d4125"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:WWDHEKZ6D7RL62652GAT7SB45O","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Explaining How Deep Neural Networks Forget by Deep Visualization","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.LG","authors_text":"Daeyoung Kim, Giang Nguyen, Shuan Chen, Tae Joon Jun","submitted_at":"2020-05-03T06:44:38Z","abstract_excerpt":"Explaining the behaviors of deep neural networks, usually considered as black boxes, is critical especially when they are now being adopted over diverse aspects of human life. Taking the advantages of interpretable machine learning (interpretable ML), this paper proposes a novel tool called Catastrophic Forgetting Dissector (or CFD) to explain catastrophic forgetting in continual learning settings. We also introduce a new method called Critical Freezing based on the observations of our tool. Experiments on ResNet articulate how catastrophic forgetting happens, particularly showing which compon"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2005.01004","kind":"arxiv","version":3},"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/2005.01004/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":"2026-07-05T04:42:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MJgonrvUr7sAM/vXgzw1uKr4nRLezszgnPb9Z8QROubibbnzoa5yDTFfLlZecgrY0L2/0C/L5s7FvovRm2j8Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-31T14:17:02.716189Z"},"content_sha256":"089998a5bedaecb03c376bfda7a1d415ae8a597c6d002c2d30964c10b1ef0ed7","schema_version":"1.0","event_id":"sha256:089998a5bedaecb03c376bfda7a1d415ae8a597c6d002c2d30964c10b1ef0ed7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WWDHEKZ6D7RL62652GAT7SB45O/bundle.json","state_url":"https://pith.science/pith/WWDHEKZ6D7RL62652GAT7SB45O/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WWDHEKZ6D7RL62652GAT7SB45O/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":"2026-07-31T14:17:02Z","links":{"resolver":"https://pith.science/pith/WWDHEKZ6D7RL62652GAT7SB45O","bundle":"https://pith.science/pith/WWDHEKZ6D7RL62652GAT7SB45O/bundle.json","state":"https://pith.science/pith/WWDHEKZ6D7RL62652GAT7SB45O/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WWDHEKZ6D7RL62652GAT7SB45O/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:WWDHEKZ6D7RL62652GAT7SB45O","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":"a85f6921ce23ec78dff6041efed502fa11b271824597c23081291e193ef52c85","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2020-05-03T06:44:38Z","title_canon_sha256":"e4a9deb4d183b7b9c89d31b28d546b55fdd40e8498f985cbf9f0c3f1caed1f02"},"schema_version":"1.0","source":{"id":"2005.01004","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2005.01004","created_at":"2026-07-05T04:42:45Z"},{"alias_kind":"arxiv_version","alias_value":"2005.01004v3","created_at":"2026-07-05T04:42:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2005.01004","created_at":"2026-07-05T04:42:45Z"},{"alias_kind":"pith_short_12","alias_value":"WWDHEKZ6D7RL","created_at":"2026-07-05T04:42:45Z"},{"alias_kind":"pith_short_16","alias_value":"WWDHEKZ6D7RL6265","created_at":"2026-07-05T04:42:45Z"},{"alias_kind":"pith_short_8","alias_value":"WWDHEKZ6","created_at":"2026-07-05T04:42:45Z"}],"graph_snapshots":[{"event_id":"sha256:089998a5bedaecb03c376bfda7a1d415ae8a597c6d002c2d30964c10b1ef0ed7","target":"graph","created_at":"2026-07-05T04:42:45Z","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/2005.01004/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Explaining the behaviors of deep neural networks, usually considered as black boxes, is critical especially when they are now being adopted over diverse aspects of human life. Taking the advantages of interpretable machine learning (interpretable ML), this paper proposes a novel tool called Catastrophic Forgetting Dissector (or CFD) to explain catastrophic forgetting in continual learning settings. We also introduce a new method called Critical Freezing based on the observations of our tool. Experiments on ResNet articulate how catastrophic forgetting happens, particularly showing which compon","authors_text":"Daeyoung Kim, Giang Nguyen, Shuan Chen, Tae Joon Jun","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2020-05-03T06:44:38Z","title":"Explaining How Deep Neural Networks Forget by Deep Visualization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2005.01004","kind":"arxiv","version":3},"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":"sha256:353adc05bbd53b9ccd4013c2765f936a29121856fb74f84b88efb013cf2d4125","target":"record","created_at":"2026-07-05T04:42:45Z","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":"a85f6921ce23ec78dff6041efed502fa11b271824597c23081291e193ef52c85","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2020-05-03T06:44:38Z","title_canon_sha256":"e4a9deb4d183b7b9c89d31b28d546b55fdd40e8498f985cbf9f0c3f1caed1f02"},"schema_version":"1.0","source":{"id":"2005.01004","kind":"arxiv","version":3}},"canonical_sha256":"b586722b3e1fe2bf6bddd1813fc83cebb69b1011cbb3a4baee1a05b108c07950","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b586722b3e1fe2bf6bddd1813fc83cebb69b1011cbb3a4baee1a05b108c07950","first_computed_at":"2026-07-05T04:42:45.336071Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:42:45.336071Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"n7ZtWWqOQwAlwL3ndGjNjBVC0QH6/Mv/NiQB09+MxCTnA8NPGj6GjyoN2iJv32+yKjnZIulGG1x+OK33X6TNBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T04:42:45.336521Z","signed_message":"canonical_sha256_bytes"},"source_id":"2005.01004","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:353adc05bbd53b9ccd4013c2765f936a29121856fb74f84b88efb013cf2d4125","sha256:089998a5bedaecb03c376bfda7a1d415ae8a597c6d002c2d30964c10b1ef0ed7"],"state_sha256":"c1cd4f95d08b9693f526c723dca038267c0de4caa6c7056e7e8456a89549afca"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ls4d4zFwBK1Y0jBwmBMOHNZ6/+RMvOSj344q8Gz8L1Rp11NOkmCdy76MVnyie2GoENeJC8ifSnAHTG14NQ1nCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-31T14:17:02.808430Z","bundle_sha256":"147ffa74611a811bbd86005a627c5d774eefa2b8e6cc0e04f196c203894434a5"}}