{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:ZPQVSN3BMR6LJLYYTQKCBAR5ZP","short_pith_number":"pith:ZPQVSN3B","canonical_record":{"source":{"id":"2403.06013","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-03-09T21:26:10Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"e5f64ecd896a24b26db82fc680a2792b99a8f15239d04efaebc4cf5274e8bbbf","abstract_canon_sha256":"4ceb4601073b812ed3aa17eac156f61eb350f3a85e66ab2a7f4fd2b3ff7663aa"},"schema_version":"1.0"},"canonical_sha256":"cbe1593761647cb4af189c1420823dcbd5a818310cfb60e893101e5ecdc640f2","source":{"kind":"arxiv","id":"2403.06013","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.06013","created_at":"2026-06-09T02:06:59Z"},{"alias_kind":"arxiv_version","alias_value":"2403.06013v2","created_at":"2026-06-09T02:06:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.06013","created_at":"2026-06-09T02:06:59Z"},{"alias_kind":"pith_short_12","alias_value":"ZPQVSN3BMR6L","created_at":"2026-06-09T02:06:59Z"},{"alias_kind":"pith_short_16","alias_value":"ZPQVSN3BMR6LJLYY","created_at":"2026-06-09T02:06:59Z"},{"alias_kind":"pith_short_8","alias_value":"ZPQVSN3B","created_at":"2026-06-09T02:06:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:ZPQVSN3BMR6LJLYYTQKCBAR5ZP","target":"record","payload":{"canonical_record":{"source":{"id":"2403.06013","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-03-09T21:26:10Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"e5f64ecd896a24b26db82fc680a2792b99a8f15239d04efaebc4cf5274e8bbbf","abstract_canon_sha256":"4ceb4601073b812ed3aa17eac156f61eb350f3a85e66ab2a7f4fd2b3ff7663aa"},"schema_version":"1.0"},"canonical_sha256":"cbe1593761647cb4af189c1420823dcbd5a818310cfb60e893101e5ecdc640f2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-09T02:06:59.152926Z","signature_b64":"Og5hmh0KXkfy1X4yH0W1SB67YqNmnc1Ks6NB61KOZUrRjVxRkWnciSbUTBiXG3mM0vyrLhaYzpCrGnqiF7YVCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cbe1593761647cb4af189c1420823dcbd5a818310cfb60e893101e5ecdc640f2","last_reissued_at":"2026-06-09T02:06:59.151966Z","signature_status":"signed_v1","first_computed_at":"2026-06-09T02:06:59.151966Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2403.06013","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":"2026-06-09T02:06:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RLG4hcKakUkMwY1eJ1OYdXPsVZMVPGTUPUrYqRKsOsso3Qys7nDsLmLl98Mu2TfkADWBx9+3U8zcOqFdaTU6Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-11T21:24:41.078305Z"},"content_sha256":"d1db33a62461a1bda341adb925db6f6c24333d79afa1b0f15f5fc8c0308ad984","schema_version":"1.0","event_id":"sha256:d1db33a62461a1bda341adb925db6f6c24333d79afa1b0f15f5fc8c0308ad984"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:ZPQVSN3BMR6LJLYYTQKCBAR5ZP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Are Classification Robustness and Explanation Robustness Really Strongly Correlated? An Analysis Through Input Loss Landscape","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.LG","authors_text":"Dongsheng Luo, Hua Wei, Linsey Pang, Tiejin Chen, Wenwang Huang","submitted_at":"2024-03-09T21:26:10Z","abstract_excerpt":"This paper delves into the critical area of deep learning robustness, challenging the conventional belief that classification robustness and explanation robustness in image classification systems are inherently correlated. Through a novel evaluation approach leveraging clustering for efficient assessment of explanation robustness, we demonstrate that enhancing explanation robustness does not necessarily flatten the input loss landscape with respect to explanation loss - contrary to flattened loss landscapes indicating better classification robustness. To deeply investigate this contradiction, "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.06013","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2403.06013/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":"2026-06-09T02:06:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"25EU2f6F3sdXSTm6kWTDVbnBPpEcmY77AC/OxJMFU/01+KmNMdk01gzndwdRNrLSXN/hJmyjxuP5+v0IObIjBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-11T21:24:41.079017Z"},"content_sha256":"ff1976cba817222c833557d5bc2f88c3cf1e635e8b4d6585a9da19381227a8a9","schema_version":"1.0","event_id":"sha256:ff1976cba817222c833557d5bc2f88c3cf1e635e8b4d6585a9da19381227a8a9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZPQVSN3BMR6LJLYYTQKCBAR5ZP/bundle.json","state_url":"https://pith.science/pith/ZPQVSN3BMR6LJLYYTQKCBAR5ZP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZPQVSN3BMR6LJLYYTQKCBAR5ZP/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":"2026-06-11T21:24:41Z","links":{"resolver":"https://pith.science/pith/ZPQVSN3BMR6LJLYYTQKCBAR5ZP","bundle":"https://pith.science/pith/ZPQVSN3BMR6LJLYYTQKCBAR5ZP/bundle.json","state":"https://pith.science/pith/ZPQVSN3BMR6LJLYYTQKCBAR5ZP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZPQVSN3BMR6LJLYYTQKCBAR5ZP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:ZPQVSN3BMR6LJLYYTQKCBAR5ZP","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":"4ceb4601073b812ed3aa17eac156f61eb350f3a85e66ab2a7f4fd2b3ff7663aa","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-03-09T21:26:10Z","title_canon_sha256":"e5f64ecd896a24b26db82fc680a2792b99a8f15239d04efaebc4cf5274e8bbbf"},"schema_version":"1.0","source":{"id":"2403.06013","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.06013","created_at":"2026-06-09T02:06:59Z"},{"alias_kind":"arxiv_version","alias_value":"2403.06013v2","created_at":"2026-06-09T02:06:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.06013","created_at":"2026-06-09T02:06:59Z"},{"alias_kind":"pith_short_12","alias_value":"ZPQVSN3BMR6L","created_at":"2026-06-09T02:06:59Z"},{"alias_kind":"pith_short_16","alias_value":"ZPQVSN3BMR6LJLYY","created_at":"2026-06-09T02:06:59Z"},{"alias_kind":"pith_short_8","alias_value":"ZPQVSN3B","created_at":"2026-06-09T02:06:59Z"}],"graph_snapshots":[{"event_id":"sha256:ff1976cba817222c833557d5bc2f88c3cf1e635e8b4d6585a9da19381227a8a9","target":"graph","created_at":"2026-06-09T02:06:59Z","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/2403.06013/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper delves into the critical area of deep learning robustness, challenging the conventional belief that classification robustness and explanation robustness in image classification systems are inherently correlated. Through a novel evaluation approach leveraging clustering for efficient assessment of explanation robustness, we demonstrate that enhancing explanation robustness does not necessarily flatten the input loss landscape with respect to explanation loss - contrary to flattened loss landscapes indicating better classification robustness. To deeply investigate this contradiction, ","authors_text":"Dongsheng Luo, Hua Wei, Linsey Pang, Tiejin Chen, Wenwang Huang","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-03-09T21:26:10Z","title":"Are Classification Robustness and Explanation Robustness Really Strongly Correlated? An Analysis Through Input Loss Landscape"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.06013","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:d1db33a62461a1bda341adb925db6f6c24333d79afa1b0f15f5fc8c0308ad984","target":"record","created_at":"2026-06-09T02:06:59Z","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":"4ceb4601073b812ed3aa17eac156f61eb350f3a85e66ab2a7f4fd2b3ff7663aa","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-03-09T21:26:10Z","title_canon_sha256":"e5f64ecd896a24b26db82fc680a2792b99a8f15239d04efaebc4cf5274e8bbbf"},"schema_version":"1.0","source":{"id":"2403.06013","kind":"arxiv","version":2}},"canonical_sha256":"cbe1593761647cb4af189c1420823dcbd5a818310cfb60e893101e5ecdc640f2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cbe1593761647cb4af189c1420823dcbd5a818310cfb60e893101e5ecdc640f2","first_computed_at":"2026-06-09T02:06:59.151966Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-09T02:06:59.151966Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Og5hmh0KXkfy1X4yH0W1SB67YqNmnc1Ks6NB61KOZUrRjVxRkWnciSbUTBiXG3mM0vyrLhaYzpCrGnqiF7YVCQ==","signature_status":"signed_v1","signed_at":"2026-06-09T02:06:59.152926Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.06013","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d1db33a62461a1bda341adb925db6f6c24333d79afa1b0f15f5fc8c0308ad984","sha256:ff1976cba817222c833557d5bc2f88c3cf1e635e8b4d6585a9da19381227a8a9"],"state_sha256":"ea26e230e0a7e6bae3ee7c4125edaacbd66208ce0b74b8d77a5e52be54286f95"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"I4FJ9RBp6ZPm1157J33pgR8tNzxQSNhfRO9ZU/MRVPFuYWUrsyRSjvWUzKKFOmygISPY/bhI7k0hWfnJrJGgBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-11T21:24:41.083657Z","bundle_sha256":"05b2dbf3e0ebedbb0d6e2686bde478e67c4e5f8dcf1c75a8381c2ba4a020a8b3"}}