{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:E7CAWOM63XEJ4E2BPZCAJFAYFI","short_pith_number":"pith:E7CAWOM6","canonical_record":{"source":{"id":"2507.00643","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2025-07-01T10:36:36Z","cross_cats_sorted":["math.IT"],"title_canon_sha256":"a15ac0cdd20ca3d2288846e9811a8afcaba2854db456d2d9d2d405a5174a19cc","abstract_canon_sha256":"ef7a8eb3ae4bf07247955495a70a7e7aee8d71354ba6d4f5c18fadc80a05da91"},"schema_version":"1.0"},"canonical_sha256":"27c40b399eddc89e13417e440494182a2816eb5981c23473c5dcbda624a4226b","source":{"kind":"arxiv","id":"2507.00643","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.00643","created_at":"2026-07-05T11:30:12Z"},{"alias_kind":"arxiv_version","alias_value":"2507.00643v1","created_at":"2026-07-05T11:30:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.00643","created_at":"2026-07-05T11:30:12Z"},{"alias_kind":"pith_short_12","alias_value":"E7CAWOM63XEJ","created_at":"2026-07-05T11:30:12Z"},{"alias_kind":"pith_short_16","alias_value":"E7CAWOM63XEJ4E2B","created_at":"2026-07-05T11:30:12Z"},{"alias_kind":"pith_short_8","alias_value":"E7CAWOM6","created_at":"2026-07-05T11:30:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:E7CAWOM63XEJ4E2BPZCAJFAYFI","target":"record","payload":{"canonical_record":{"source":{"id":"2507.00643","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2025-07-01T10:36:36Z","cross_cats_sorted":["math.IT"],"title_canon_sha256":"a15ac0cdd20ca3d2288846e9811a8afcaba2854db456d2d9d2d405a5174a19cc","abstract_canon_sha256":"ef7a8eb3ae4bf07247955495a70a7e7aee8d71354ba6d4f5c18fadc80a05da91"},"schema_version":"1.0"},"canonical_sha256":"27c40b399eddc89e13417e440494182a2816eb5981c23473c5dcbda624a4226b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:30:12.206123Z","signature_b64":"vRpH1yQ9CasbvZGTqKxhSVWLqHrnShOp/aCWdDcjMBvL6Kt1RFy7d6xsLmeHlndEHGKc71H+YOLfGTFb3VUcBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"27c40b399eddc89e13417e440494182a2816eb5981c23473c5dcbda624a4226b","last_reissued_at":"2026-07-05T11:30:12.205673Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:30:12.205673Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.00643","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":"2026-07-05T11:30:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZVXsdOd1Tql8pwXNtQLPvUTO+q2x5L9pgz2+jNjVtbcPT8LXrwOnkbKwezXx7rTM6FNg91VrCMYBzvXRTtK1Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T17:59:03.356168Z"},"content_sha256":"1cdf55d8c1ecad65e5834da03bcaf3daf423fe664f1b4860f63195e6240229b8","schema_version":"1.0","event_id":"sha256:1cdf55d8c1ecad65e5834da03bcaf3daf423fe664f1b4860f63195e6240229b8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:E7CAWOM63XEJ4E2BPZCAJFAYFI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Decentralized Pliable Index Coding For Federated Learning In Intelligent Transportation Systems","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.IT"],"primary_cat":"cs.IT","authors_text":"Balaji Sundar Rajan, Deepthi Paramel Pattathil, Narisetty Harish, Nujoom Sageer Karat, Sadina Kadakkottiri","submitted_at":"2025-07-01T10:36:36Z","abstract_excerpt":"Federated Learning is a promising option for data privacy and security in ITS, because it allows edge devices, Road Side Units (RSUs), and Central Server (CS) to jointly train the machine learning model. Since RSU collects data from the vehicles passing through its range, the local data of each RSU will have a non-IID distribution, which adversely affects the convergence speed and accuracy of FL training. Generating synthetic data locally at individual nodes, followed by data shuffling among the nodes, is a promising approach to address the Non-IID data problem. In this work, we propose pliabl"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.00643","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/2507.00643/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":"2026-07-05T11:30:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"c8nNPuCAUVPz/7YZyG0J4wrDCSb66QgFCsL2dCxtrRLC3qMbEk87Ncksli2t+sqzADNGAYOm0R1vV0wNrFJJCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T17:59:03.356701Z"},"content_sha256":"afbbf2e4bb212058338ea046a28f68b2e5edd470ad99c48c3b4a9cc9d8e048ec","schema_version":"1.0","event_id":"sha256:afbbf2e4bb212058338ea046a28f68b2e5edd470ad99c48c3b4a9cc9d8e048ec"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/E7CAWOM63XEJ4E2BPZCAJFAYFI/bundle.json","state_url":"https://pith.science/pith/E7CAWOM63XEJ4E2BPZCAJFAYFI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/E7CAWOM63XEJ4E2BPZCAJFAYFI/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":"2026-08-15T17:59:03Z","links":{"resolver":"https://pith.science/pith/E7CAWOM63XEJ4E2BPZCAJFAYFI","bundle":"https://pith.science/pith/E7CAWOM63XEJ4E2BPZCAJFAYFI/bundle.json","state":"https://pith.science/pith/E7CAWOM63XEJ4E2BPZCAJFAYFI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/E7CAWOM63XEJ4E2BPZCAJFAYFI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:E7CAWOM63XEJ4E2BPZCAJFAYFI","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":"ef7a8eb3ae4bf07247955495a70a7e7aee8d71354ba6d4f5c18fadc80a05da91","cross_cats_sorted":["math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2025-07-01T10:36:36Z","title_canon_sha256":"a15ac0cdd20ca3d2288846e9811a8afcaba2854db456d2d9d2d405a5174a19cc"},"schema_version":"1.0","source":{"id":"2507.00643","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.00643","created_at":"2026-07-05T11:30:12Z"},{"alias_kind":"arxiv_version","alias_value":"2507.00643v1","created_at":"2026-07-05T11:30:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.00643","created_at":"2026-07-05T11:30:12Z"},{"alias_kind":"pith_short_12","alias_value":"E7CAWOM63XEJ","created_at":"2026-07-05T11:30:12Z"},{"alias_kind":"pith_short_16","alias_value":"E7CAWOM63XEJ4E2B","created_at":"2026-07-05T11:30:12Z"},{"alias_kind":"pith_short_8","alias_value":"E7CAWOM6","created_at":"2026-07-05T11:30:12Z"}],"graph_snapshots":[{"event_id":"sha256:afbbf2e4bb212058338ea046a28f68b2e5edd470ad99c48c3b4a9cc9d8e048ec","target":"graph","created_at":"2026-07-05T11:30:12Z","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/2507.00643/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Federated Learning is a promising option for data privacy and security in ITS, because it allows edge devices, Road Side Units (RSUs), and Central Server (CS) to jointly train the machine learning model. Since RSU collects data from the vehicles passing through its range, the local data of each RSU will have a non-IID distribution, which adversely affects the convergence speed and accuracy of FL training. Generating synthetic data locally at individual nodes, followed by data shuffling among the nodes, is a promising approach to address the Non-IID data problem. In this work, we propose pliabl","authors_text":"Balaji Sundar Rajan, Deepthi Paramel Pattathil, Narisetty Harish, Nujoom Sageer Karat, Sadina Kadakkottiri","cross_cats":["math.IT"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2025-07-01T10:36:36Z","title":"Decentralized Pliable Index Coding For Federated Learning In Intelligent Transportation Systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.00643","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":"sha256:1cdf55d8c1ecad65e5834da03bcaf3daf423fe664f1b4860f63195e6240229b8","target":"record","created_at":"2026-07-05T11:30:12Z","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":"ef7a8eb3ae4bf07247955495a70a7e7aee8d71354ba6d4f5c18fadc80a05da91","cross_cats_sorted":["math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2025-07-01T10:36:36Z","title_canon_sha256":"a15ac0cdd20ca3d2288846e9811a8afcaba2854db456d2d9d2d405a5174a19cc"},"schema_version":"1.0","source":{"id":"2507.00643","kind":"arxiv","version":1}},"canonical_sha256":"27c40b399eddc89e13417e440494182a2816eb5981c23473c5dcbda624a4226b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"27c40b399eddc89e13417e440494182a2816eb5981c23473c5dcbda624a4226b","first_computed_at":"2026-07-05T11:30:12.205673Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:30:12.205673Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vRpH1yQ9CasbvZGTqKxhSVWLqHrnShOp/aCWdDcjMBvL6Kt1RFy7d6xsLmeHlndEHGKc71H+YOLfGTFb3VUcBA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:30:12.206123Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.00643","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1cdf55d8c1ecad65e5834da03bcaf3daf423fe664f1b4860f63195e6240229b8","sha256:afbbf2e4bb212058338ea046a28f68b2e5edd470ad99c48c3b4a9cc9d8e048ec"],"state_sha256":"6ddf803379bf249bf9dfc4448b903f3bddaded3a518f54fbf6f3ef9814944cf6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sx6hZI0obyicicIg8Pm73ZVJ3dmf8HmScjz5tFFomV+TFmwc0u0Z8qCy+xY+CDaeBWN1nzWlujPSIQFO54lcBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T17:59:03.362593Z","bundle_sha256":"d96a5173095e210cfdf8c0280a94aa16db569250c882d3143129e3c3cc98e27e"}}