{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:53F7TGPWVJV7Q5NBOUDMZHFRAT","short_pith_number":"pith:53F7TGPW","canonical_record":{"source":{"id":"2403.02803","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2024-03-05T09:18:29Z","cross_cats_sorted":[],"title_canon_sha256":"f1a1055576ab64d4aebbae5c87d23c3c6a12a7776c9e8df3d7abe1c6b19b03eb","abstract_canon_sha256":"c37d75d4fe090227da7d88b0764882847fa04446cdb2035aeb91854edff21602"},"schema_version":"1.0"},"canonical_sha256":"eecbf999f6aa6bf875a17506cc9cb104e667a6e624cb6118cdcd2b948bd77fd8","source":{"kind":"arxiv","id":"2403.02803","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.02803","created_at":"2026-07-05T07:52:22Z"},{"alias_kind":"arxiv_version","alias_value":"2403.02803v1","created_at":"2026-07-05T07:52:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.02803","created_at":"2026-07-05T07:52:22Z"},{"alias_kind":"pith_short_12","alias_value":"53F7TGPWVJV7","created_at":"2026-07-05T07:52:22Z"},{"alias_kind":"pith_short_16","alias_value":"53F7TGPWVJV7Q5NB","created_at":"2026-07-05T07:52:22Z"},{"alias_kind":"pith_short_8","alias_value":"53F7TGPW","created_at":"2026-07-05T07:52:22Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:53F7TGPWVJV7Q5NBOUDMZHFRAT","target":"record","payload":{"canonical_record":{"source":{"id":"2403.02803","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2024-03-05T09:18:29Z","cross_cats_sorted":[],"title_canon_sha256":"f1a1055576ab64d4aebbae5c87d23c3c6a12a7776c9e8df3d7abe1c6b19b03eb","abstract_canon_sha256":"c37d75d4fe090227da7d88b0764882847fa04446cdb2035aeb91854edff21602"},"schema_version":"1.0"},"canonical_sha256":"eecbf999f6aa6bf875a17506cc9cb104e667a6e624cb6118cdcd2b948bd77fd8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:52:22.699002Z","signature_b64":"UpfZXigMt/cNYutyIhhYJScBHTRV33pgLnMG+bWi0joiBEAt7ehgipqaw1/oQfkUF7rawHpNwwxNMM4BW1QPCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"eecbf999f6aa6bf875a17506cc9cb104e667a6e624cb6118cdcd2b948bd77fd8","last_reissued_at":"2026-07-05T07:52:22.698523Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:52:22.698523Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2403.02803","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":"2026-07-05T07:52:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tHSfAtlVWsS7IHhLgTHshk5/x8ISAEY5p4zLUJ1coqrL19EaO2+XusiCTkoLiBuhAy1e8GzLMrYtZC8ewtjSCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T08:52:16.317774Z"},"content_sha256":"7d08910524512e00dca60055e905f5f925d7e6c9362b6e765b5d4289bf7ba424","schema_version":"1.0","event_id":"sha256:7d08910524512e00dca60055e905f5f925d7e6c9362b6e765b5d4289bf7ba424"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:53F7TGPWVJV7Q5NBOUDMZHFRAT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Towards Robust Federated Learning via Logits Calibration on Non-IID Data","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Apurba Adhikary, Chaoning Zhang, Choong Seon Hong, Yu Qiao","submitted_at":"2024-03-05T09:18:29Z","abstract_excerpt":"Federated learning (FL) is a privacy-preserving distributed management framework based on collaborative model training of distributed devices in edge networks. However, recent studies have shown that FL is vulnerable to adversarial examples (AEs), leading to a significant drop in its performance. Meanwhile, the non-independent and identically distributed (non-IID) challenge of data distribution between edge devices can further degrade the performance of models. Consequently, both AEs and non-IID pose challenges to deploying robust learning models at the edge. In this work, we adopt the adversa"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.02803","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/2403.02803/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":"2026-07-05T07:52:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"H8260ksJssnl1+VCe3HDF5S9GcLD42YMglcwCifDUOTq6FJ+XjACfIi9HhSlRiPU3LM5+STKLOxQv5fh5DJYDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T08:52:16.318364Z"},"content_sha256":"c1f810734bcd349aa222cdd9f7eb5f29b33e2824b362ecd40a35a684f0c8ff14","schema_version":"1.0","event_id":"sha256:c1f810734bcd349aa222cdd9f7eb5f29b33e2824b362ecd40a35a684f0c8ff14"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/53F7TGPWVJV7Q5NBOUDMZHFRAT/bundle.json","state_url":"https://pith.science/pith/53F7TGPWVJV7Q5NBOUDMZHFRAT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/53F7TGPWVJV7Q5NBOUDMZHFRAT/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":"2026-08-14T08:52:16Z","links":{"resolver":"https://pith.science/pith/53F7TGPWVJV7Q5NBOUDMZHFRAT","bundle":"https://pith.science/pith/53F7TGPWVJV7Q5NBOUDMZHFRAT/bundle.json","state":"https://pith.science/pith/53F7TGPWVJV7Q5NBOUDMZHFRAT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/53F7TGPWVJV7Q5NBOUDMZHFRAT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:53F7TGPWVJV7Q5NBOUDMZHFRAT","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":"c37d75d4fe090227da7d88b0764882847fa04446cdb2035aeb91854edff21602","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2024-03-05T09:18:29Z","title_canon_sha256":"f1a1055576ab64d4aebbae5c87d23c3c6a12a7776c9e8df3d7abe1c6b19b03eb"},"schema_version":"1.0","source":{"id":"2403.02803","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.02803","created_at":"2026-07-05T07:52:22Z"},{"alias_kind":"arxiv_version","alias_value":"2403.02803v1","created_at":"2026-07-05T07:52:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.02803","created_at":"2026-07-05T07:52:22Z"},{"alias_kind":"pith_short_12","alias_value":"53F7TGPWVJV7","created_at":"2026-07-05T07:52:22Z"},{"alias_kind":"pith_short_16","alias_value":"53F7TGPWVJV7Q5NB","created_at":"2026-07-05T07:52:22Z"},{"alias_kind":"pith_short_8","alias_value":"53F7TGPW","created_at":"2026-07-05T07:52:22Z"}],"graph_snapshots":[{"event_id":"sha256:c1f810734bcd349aa222cdd9f7eb5f29b33e2824b362ecd40a35a684f0c8ff14","target":"graph","created_at":"2026-07-05T07:52:22Z","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/2403.02803/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 management framework based on collaborative model training of distributed devices in edge networks. However, recent studies have shown that FL is vulnerable to adversarial examples (AEs), leading to a significant drop in its performance. Meanwhile, the non-independent and identically distributed (non-IID) challenge of data distribution between edge devices can further degrade the performance of models. Consequently, both AEs and non-IID pose challenges to deploying robust learning models at the edge. In this work, we adopt the adversa","authors_text":"Apurba Adhikary, Chaoning Zhang, Choong Seon Hong, Yu Qiao","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2024-03-05T09:18:29Z","title":"Towards Robust Federated Learning via Logits Calibration on Non-IID Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.02803","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":"sha256:7d08910524512e00dca60055e905f5f925d7e6c9362b6e765b5d4289bf7ba424","target":"record","created_at":"2026-07-05T07:52:22Z","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":"c37d75d4fe090227da7d88b0764882847fa04446cdb2035aeb91854edff21602","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2024-03-05T09:18:29Z","title_canon_sha256":"f1a1055576ab64d4aebbae5c87d23c3c6a12a7776c9e8df3d7abe1c6b19b03eb"},"schema_version":"1.0","source":{"id":"2403.02803","kind":"arxiv","version":1}},"canonical_sha256":"eecbf999f6aa6bf875a17506cc9cb104e667a6e624cb6118cdcd2b948bd77fd8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"eecbf999f6aa6bf875a17506cc9cb104e667a6e624cb6118cdcd2b948bd77fd8","first_computed_at":"2026-07-05T07:52:22.698523Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:52:22.698523Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"UpfZXigMt/cNYutyIhhYJScBHTRV33pgLnMG+bWi0joiBEAt7ehgipqaw1/oQfkUF7rawHpNwwxNMM4BW1QPCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:52:22.699002Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.02803","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7d08910524512e00dca60055e905f5f925d7e6c9362b6e765b5d4289bf7ba424","sha256:c1f810734bcd349aa222cdd9f7eb5f29b33e2824b362ecd40a35a684f0c8ff14"],"state_sha256":"c7385e2253722766c58f882cfe7648ed78e37d99eab73ef2ad9343c7a59b22ce"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"raIKuOQBr1rE4GGEVnwokv5VV3OvUUm0V10abLnI6kK6Ijbw88hkAmWh9Ts6hIu5Ypi5XPU1Q17sMdzwNlrnDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-14T08:52:16.326176Z","bundle_sha256":"f6010ac5822e90369ddbdf6d2ee215833b66b9b8a3668ff2fe5dbc0e84d04157"}}