{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:QYTTTCW5SP3GW4PXTSVNOT75VG","short_pith_number":"pith:QYTTTCW5","canonical_record":{"source":{"id":"2412.07687","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-12-10T17:20:47Z","cross_cats_sorted":["cs.CR","stat.AP","stat.ME","stat.ML"],"title_canon_sha256":"b6e38785c01f0ac7af979902655b7d2d7058033b2a22eb277f8e8dec3d744d08","abstract_canon_sha256":"70e6453f155fdc61fdcbb7d136091b9e790e6507d0826ee917e401135ca3b243"},"schema_version":"1.0"},"canonical_sha256":"8627398add93f66b71f79caad74ffda9bdeed25a341743c0bc266334fc2a4fd0","source":{"kind":"arxiv","id":"2412.07687","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.07687","created_at":"2026-07-05T09:55:35Z"},{"alias_kind":"arxiv_version","alias_value":"2412.07687v2","created_at":"2026-07-05T09:55:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.07687","created_at":"2026-07-05T09:55:35Z"},{"alias_kind":"pith_short_12","alias_value":"QYTTTCW5SP3G","created_at":"2026-07-05T09:55:35Z"},{"alias_kind":"pith_short_16","alias_value":"QYTTTCW5SP3GW4PX","created_at":"2026-07-05T09:55:35Z"},{"alias_kind":"pith_short_8","alias_value":"QYTTTCW5","created_at":"2026-07-05T09:55:35Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:QYTTTCW5SP3GW4PXTSVNOT75VG","target":"record","payload":{"canonical_record":{"source":{"id":"2412.07687","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-12-10T17:20:47Z","cross_cats_sorted":["cs.CR","stat.AP","stat.ME","stat.ML"],"title_canon_sha256":"b6e38785c01f0ac7af979902655b7d2d7058033b2a22eb277f8e8dec3d744d08","abstract_canon_sha256":"70e6453f155fdc61fdcbb7d136091b9e790e6507d0826ee917e401135ca3b243"},"schema_version":"1.0"},"canonical_sha256":"8627398add93f66b71f79caad74ffda9bdeed25a341743c0bc266334fc2a4fd0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:55:35.746573Z","signature_b64":"bvRUooMCWTGdYR8mVLNolmBPRetuFj1glDB1mlpAFVmNJbJvZsnUmPX5r7qspenbMqCGCt/jPB2JJeQWN5z3Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8627398add93f66b71f79caad74ffda9bdeed25a341743c0bc266334fc2a4fd0","last_reissued_at":"2026-07-05T09:55:35.746074Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:55:35.746074Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.07687","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":"2026-07-05T09:55:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"reLqauE2hRM81CQHvt7vQxDROATaLqn6eiiqaqMz1fgWjwH9drenlofztK22zbLvL1hq/mMFDpIj6hfUVc7BDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T07:51:48.748548Z"},"content_sha256":"d7583a493f0ab363b75cdee1b6245925f43ce62dca5bb9f2ac8f10a3cc2c7170","schema_version":"1.0","event_id":"sha256:d7583a493f0ab363b75cdee1b6245925f43ce62dca5bb9f2ac8f10a3cc2c7170"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:QYTTTCW5SP3GW4PXTSVNOT75VG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Privacy-Preserving Customer Support: A Framework for Secure and Scalable Interactions","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CR","stat.AP","stat.ME","stat.ML"],"primary_cat":"cs.LG","authors_text":"Anant Prakash Awasthi, Chandraketu Singh, Girdhar Gopal Agarwal, Rakshit Varma, Sanchit Sharma","submitted_at":"2024-12-10T17:20:47Z","abstract_excerpt":"The growing reliance on artificial intelligence (AI) in customer support has significantly improved operational efficiency and user experience. However, traditional machine learning (ML) approaches, which require extensive local training on sensitive datasets, pose substantial privacy risks and compliance challenges with regulations like the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA). Existing privacy-preserving techniques, such as anonymization, differential privacy, and federated learning, address some concerns but face limitations in utility, scalab"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.07687","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/2412.07687/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":"2026-07-05T09:55:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KSuzaT2fhku3GPBzZBJPHA68wJO+kieBpoiYdSYI96LfzxZN4UGq9nEuHW17PEK6ZpgwIAF8ixUJslmaG+vRBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T07:51:48.749423Z"},"content_sha256":"fea4de1cdea6972f56ebd4df9768cfbf147378940382301b2aa38a8e9137ccf4","schema_version":"1.0","event_id":"sha256:fea4de1cdea6972f56ebd4df9768cfbf147378940382301b2aa38a8e9137ccf4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QYTTTCW5SP3GW4PXTSVNOT75VG/bundle.json","state_url":"https://pith.science/pith/QYTTTCW5SP3GW4PXTSVNOT75VG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QYTTTCW5SP3GW4PXTSVNOT75VG/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":"2026-08-22T07:51:48Z","links":{"resolver":"https://pith.science/pith/QYTTTCW5SP3GW4PXTSVNOT75VG","bundle":"https://pith.science/pith/QYTTTCW5SP3GW4PXTSVNOT75VG/bundle.json","state":"https://pith.science/pith/QYTTTCW5SP3GW4PXTSVNOT75VG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QYTTTCW5SP3GW4PXTSVNOT75VG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:QYTTTCW5SP3GW4PXTSVNOT75VG","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":"70e6453f155fdc61fdcbb7d136091b9e790e6507d0826ee917e401135ca3b243","cross_cats_sorted":["cs.CR","stat.AP","stat.ME","stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-12-10T17:20:47Z","title_canon_sha256":"b6e38785c01f0ac7af979902655b7d2d7058033b2a22eb277f8e8dec3d744d08"},"schema_version":"1.0","source":{"id":"2412.07687","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.07687","created_at":"2026-07-05T09:55:35Z"},{"alias_kind":"arxiv_version","alias_value":"2412.07687v2","created_at":"2026-07-05T09:55:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.07687","created_at":"2026-07-05T09:55:35Z"},{"alias_kind":"pith_short_12","alias_value":"QYTTTCW5SP3G","created_at":"2026-07-05T09:55:35Z"},{"alias_kind":"pith_short_16","alias_value":"QYTTTCW5SP3GW4PX","created_at":"2026-07-05T09:55:35Z"},{"alias_kind":"pith_short_8","alias_value":"QYTTTCW5","created_at":"2026-07-05T09:55:35Z"}],"graph_snapshots":[{"event_id":"sha256:fea4de1cdea6972f56ebd4df9768cfbf147378940382301b2aa38a8e9137ccf4","target":"graph","created_at":"2026-07-05T09:55:35Z","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/2412.07687/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The growing reliance on artificial intelligence (AI) in customer support has significantly improved operational efficiency and user experience. However, traditional machine learning (ML) approaches, which require extensive local training on sensitive datasets, pose substantial privacy risks and compliance challenges with regulations like the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA). Existing privacy-preserving techniques, such as anonymization, differential privacy, and federated learning, address some concerns but face limitations in utility, scalab","authors_text":"Anant Prakash Awasthi, Chandraketu Singh, Girdhar Gopal Agarwal, Rakshit Varma, Sanchit Sharma","cross_cats":["cs.CR","stat.AP","stat.ME","stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-12-10T17:20:47Z","title":"Privacy-Preserving Customer Support: A Framework for Secure and Scalable Interactions"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.07687","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:d7583a493f0ab363b75cdee1b6245925f43ce62dca5bb9f2ac8f10a3cc2c7170","target":"record","created_at":"2026-07-05T09:55:35Z","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":"70e6453f155fdc61fdcbb7d136091b9e790e6507d0826ee917e401135ca3b243","cross_cats_sorted":["cs.CR","stat.AP","stat.ME","stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-12-10T17:20:47Z","title_canon_sha256":"b6e38785c01f0ac7af979902655b7d2d7058033b2a22eb277f8e8dec3d744d08"},"schema_version":"1.0","source":{"id":"2412.07687","kind":"arxiv","version":2}},"canonical_sha256":"8627398add93f66b71f79caad74ffda9bdeed25a341743c0bc266334fc2a4fd0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8627398add93f66b71f79caad74ffda9bdeed25a341743c0bc266334fc2a4fd0","first_computed_at":"2026-07-05T09:55:35.746074Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:55:35.746074Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bvRUooMCWTGdYR8mVLNolmBPRetuFj1glDB1mlpAFVmNJbJvZsnUmPX5r7qspenbMqCGCt/jPB2JJeQWN5z3Cw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:55:35.746573Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.07687","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d7583a493f0ab363b75cdee1b6245925f43ce62dca5bb9f2ac8f10a3cc2c7170","sha256:fea4de1cdea6972f56ebd4df9768cfbf147378940382301b2aa38a8e9137ccf4"],"state_sha256":"2eae425258d273b395933c80b57a1872b3d3e83fae585a99e12c38a816b22abb"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"n4dGHXRlQd9/gsXLmooRcvioF3hCPeSf3kdLLEx3cUHqqUPOTKxS/D90i5LTxnpYMzN5bph7PBH0kZ4WkKdIAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-22T07:51:48.760040Z","bundle_sha256":"2aebcc8a75a425627192a707b8b77f6e60d975f8f5e5b91069151b45eb2b3d1e"}}