{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:DSOEPR72LGS55XFYCLTXOHKUYK","short_pith_number":"pith:DSOEPR72","canonical_record":{"source":{"id":"2404.06776","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2024-04-10T06:35:25Z","cross_cats_sorted":["cs.AI","cs.CV"],"title_canon_sha256":"eada132e95a35a6f42c1228958c8c9e9532a74e535494e75c6c47375caa5f530","abstract_canon_sha256":"c0affef29fd37aa0d9fb91ec226ff29f7ef05f516a36f2820c82497aef5b413b"},"schema_version":"1.0"},"canonical_sha256":"1c9c47c7fa59a5dedcb812e7771d54c29d139d907c856eb2c8d35abcebb272f6","source":{"kind":"arxiv","id":"2404.06776","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.06776","created_at":"2026-07-05T08:06:30Z"},{"alias_kind":"arxiv_version","alias_value":"2404.06776v1","created_at":"2026-07-05T08:06:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.06776","created_at":"2026-07-05T08:06:30Z"},{"alias_kind":"pith_short_12","alias_value":"DSOEPR72LGS5","created_at":"2026-07-05T08:06:30Z"},{"alias_kind":"pith_short_16","alias_value":"DSOEPR72LGS55XFY","created_at":"2026-07-05T08:06:30Z"},{"alias_kind":"pith_short_8","alias_value":"DSOEPR72","created_at":"2026-07-05T08:06:30Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:DSOEPR72LGS55XFYCLTXOHKUYK","target":"record","payload":{"canonical_record":{"source":{"id":"2404.06776","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2024-04-10T06:35:25Z","cross_cats_sorted":["cs.AI","cs.CV"],"title_canon_sha256":"eada132e95a35a6f42c1228958c8c9e9532a74e535494e75c6c47375caa5f530","abstract_canon_sha256":"c0affef29fd37aa0d9fb91ec226ff29f7ef05f516a36f2820c82497aef5b413b"},"schema_version":"1.0"},"canonical_sha256":"1c9c47c7fa59a5dedcb812e7771d54c29d139d907c856eb2c8d35abcebb272f6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:06:30.058930Z","signature_b64":"EW9j8BnYJtsOj4Gd6D+KKDIzjMjiVtu5W7KVEXVB1CtT4Nfz45JuXJ/0Rt4NKCV7UuAf2D6B7U8CkxXSxeH1Bw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1c9c47c7fa59a5dedcb812e7771d54c29d139d907c856eb2c8d35abcebb272f6","last_reissued_at":"2026-07-05T08:06:30.058532Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:06:30.058532Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2404.06776","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":"2026-07-05T08:06:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hfAGFa42lXL+/0qvioYxVTFf8eoxeMZMr3wdblCLZWBfMkym0RXzpMGal6ayFhEQ4faeYDVvfPLeIS7ClVzzDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T15:15:47.189541Z"},"content_sha256":"9aaf1550ba9822f4ee8eea9a2b509c04a1ef662139182a68ab9902a9ff10c36c","schema_version":"1.0","event_id":"sha256:9aaf1550ba9822f4ee8eea9a2b509c04a1ef662139182a68ab9902a9ff10c36c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:DSOEPR72LGS55XFYCLTXOHKUYK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Logit Calibration and Feature Contrast for Robust Federated Learning on Non-IID Data","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.AI","cs.CV"],"primary_cat":"cs.LG","authors_text":"Apurba Adhikary, Chaoning Zhang, Choong Seon Hong, Yu Qiao","submitted_at":"2024-04-10T06:35:25Z","abstract_excerpt":"Federated learning (FL) is a privacy-preserving distributed framework for collaborative model training on devices in edge networks. However, challenges arise due to vulnerability to adversarial examples (AEs) and the non-independent and identically distributed (non-IID) nature of data distribution among devices, hindering the deployment of adversarially robust and accurate learning models at the edge. While adversarial training (AT) is commonly acknowledged as an effective defense strategy against adversarial attacks in centralized training, we shed light on the adverse effects of directly app"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.06776","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/2404.06776/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":"2026-07-05T08:06:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"720/PHCsK9z3KpYhDTPEx/2AFoI/2+OC/tBwwouY4wx8p9194MYDVNHwQOCECWB0IAYWDjKEtiCARxsyIBTxBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T15:15:47.190053Z"},"content_sha256":"09417ed0c069f85385ff33acdbffcf7c720b317c4114356d32597cf9a3e92397","schema_version":"1.0","event_id":"sha256:09417ed0c069f85385ff33acdbffcf7c720b317c4114356d32597cf9a3e92397"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DSOEPR72LGS55XFYCLTXOHKUYK/bundle.json","state_url":"https://pith.science/pith/DSOEPR72LGS55XFYCLTXOHKUYK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DSOEPR72LGS55XFYCLTXOHKUYK/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":"2026-08-12T15:15:47Z","links":{"resolver":"https://pith.science/pith/DSOEPR72LGS55XFYCLTXOHKUYK","bundle":"https://pith.science/pith/DSOEPR72LGS55XFYCLTXOHKUYK/bundle.json","state":"https://pith.science/pith/DSOEPR72LGS55XFYCLTXOHKUYK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DSOEPR72LGS55XFYCLTXOHKUYK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:DSOEPR72LGS55XFYCLTXOHKUYK","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":"c0affef29fd37aa0d9fb91ec226ff29f7ef05f516a36f2820c82497aef5b413b","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2024-04-10T06:35:25Z","title_canon_sha256":"eada132e95a35a6f42c1228958c8c9e9532a74e535494e75c6c47375caa5f530"},"schema_version":"1.0","source":{"id":"2404.06776","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.06776","created_at":"2026-07-05T08:06:30Z"},{"alias_kind":"arxiv_version","alias_value":"2404.06776v1","created_at":"2026-07-05T08:06:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.06776","created_at":"2026-07-05T08:06:30Z"},{"alias_kind":"pith_short_12","alias_value":"DSOEPR72LGS5","created_at":"2026-07-05T08:06:30Z"},{"alias_kind":"pith_short_16","alias_value":"DSOEPR72LGS55XFY","created_at":"2026-07-05T08:06:30Z"},{"alias_kind":"pith_short_8","alias_value":"DSOEPR72","created_at":"2026-07-05T08:06:30Z"}],"graph_snapshots":[{"event_id":"sha256:09417ed0c069f85385ff33acdbffcf7c720b317c4114356d32597cf9a3e92397","target":"graph","created_at":"2026-07-05T08:06:30Z","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/2404.06776/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Federated learning (FL) is a privacy-preserving distributed framework for collaborative model training on devices in edge networks. However, challenges arise due to vulnerability to adversarial examples (AEs) and the non-independent and identically distributed (non-IID) nature of data distribution among devices, hindering the deployment of adversarially robust and accurate learning models at the edge. While adversarial training (AT) is commonly acknowledged as an effective defense strategy against adversarial attacks in centralized training, we shed light on the adverse effects of directly app","authors_text":"Apurba Adhikary, Chaoning Zhang, Choong Seon Hong, Yu Qiao","cross_cats":["cs.AI","cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2024-04-10T06:35:25Z","title":"Logit Calibration and Feature Contrast for Robust Federated Learning on Non-IID Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.06776","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":"sha256:9aaf1550ba9822f4ee8eea9a2b509c04a1ef662139182a68ab9902a9ff10c36c","target":"record","created_at":"2026-07-05T08:06:30Z","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":"c0affef29fd37aa0d9fb91ec226ff29f7ef05f516a36f2820c82497aef5b413b","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2024-04-10T06:35:25Z","title_canon_sha256":"eada132e95a35a6f42c1228958c8c9e9532a74e535494e75c6c47375caa5f530"},"schema_version":"1.0","source":{"id":"2404.06776","kind":"arxiv","version":1}},"canonical_sha256":"1c9c47c7fa59a5dedcb812e7771d54c29d139d907c856eb2c8d35abcebb272f6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1c9c47c7fa59a5dedcb812e7771d54c29d139d907c856eb2c8d35abcebb272f6","first_computed_at":"2026-07-05T08:06:30.058532Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:06:30.058532Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"EW9j8BnYJtsOj4Gd6D+KKDIzjMjiVtu5W7KVEXVB1CtT4Nfz45JuXJ/0Rt4NKCV7UuAf2D6B7U8CkxXSxeH1Bw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:06:30.058930Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.06776","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9aaf1550ba9822f4ee8eea9a2b509c04a1ef662139182a68ab9902a9ff10c36c","sha256:09417ed0c069f85385ff33acdbffcf7c720b317c4114356d32597cf9a3e92397"],"state_sha256":"96fa91b61fb20635ee3bba1c0fdad745de75a4c7534c0223ea3f1ca27fef1cae"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+sLNovdoI9DU1gFSwBTz1pAhKWJUylprO4SLFWBF8AY1+cVNcrdVwsKew26E8SrJj6TQ6hsapegqL5bFYrJLCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-12T15:15:47.194829Z","bundle_sha256":"4a2e044b2ee37427f8ba365c22746968844d3f9176ad329c1bfb2aaa00ff69d9"}}