{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:RPA3A7S5WWTKVRIMTFSR74VITF","short_pith_number":"pith:RPA3A7S5","canonical_record":{"source":{"id":"2108.12318","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2021-08-27T14:50:12Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"0d854899c21bb9e4175c4b36559530938970420730edae896d1ea5849719eda0","abstract_canon_sha256":"c22a35949b9b2f2ed83383550f2e6f129a1678f5a8f1feee1c4414d3d6170039"},"schema_version":"1.0"},"canonical_sha256":"8bc1b07e5db5a6aac50c99651ff2a899545eca9d2fb5022878a0731a56fa8cc8","source":{"kind":"arxiv","id":"2108.12318","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2108.12318","created_at":"2026-07-05T03:09:24Z"},{"alias_kind":"arxiv_version","alias_value":"2108.12318v1","created_at":"2026-07-05T03:09:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2108.12318","created_at":"2026-07-05T03:09:24Z"},{"alias_kind":"pith_short_12","alias_value":"RPA3A7S5WWTK","created_at":"2026-07-05T03:09:24Z"},{"alias_kind":"pith_short_16","alias_value":"RPA3A7S5WWTKVRIM","created_at":"2026-07-05T03:09:24Z"},{"alias_kind":"pith_short_8","alias_value":"RPA3A7S5","created_at":"2026-07-05T03:09:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:RPA3A7S5WWTKVRIMTFSR74VITF","target":"record","payload":{"canonical_record":{"source":{"id":"2108.12318","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2021-08-27T14:50:12Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"0d854899c21bb9e4175c4b36559530938970420730edae896d1ea5849719eda0","abstract_canon_sha256":"c22a35949b9b2f2ed83383550f2e6f129a1678f5a8f1feee1c4414d3d6170039"},"schema_version":"1.0"},"canonical_sha256":"8bc1b07e5db5a6aac50c99651ff2a899545eca9d2fb5022878a0731a56fa8cc8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:09:24.462483Z","signature_b64":"JD8STEyumtlL5+4ffftwSHkbpQ2D9K4KujBWarp3mfWWdjUkc0DHYVJTxMiSgJdnv3ivbnkgTLcrBsnEs5deCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8bc1b07e5db5a6aac50c99651ff2a899545eca9d2fb5022878a0731a56fa8cc8","last_reissued_at":"2026-07-05T03:09:24.462118Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:09:24.462118Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2108.12318","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":"2026-07-05T03:09:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sKjV2z9+6ZD1STYalQvGZXQbRrKLrCEE76fHnFlLkDS/qzQTKQtB3wkRVKCiYCRajFqi6yqrQ2eCHDx3yfnmBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-12T14:18:17.736409Z"},"content_sha256":"7610505a9cd6d1e5abf39688ee29243688cfa41bf6096e43f044cece06a96e5b","schema_version":"1.0","event_id":"sha256:7610505a9cd6d1e5abf39688ee29243688cfa41bf6096e43f044cece06a96e5b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:RPA3A7S5WWTKVRIMTFSR74VITF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"CAPE: Context-Aware Private Embeddings for Private Language Learning","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CL","authors_text":"Dimitra Gkatzia, Richard Plant, Valerio Giuffrida","submitted_at":"2021-08-27T14:50:12Z","abstract_excerpt":"Deep learning-based language models have achieved state-of-the-art results in a number of applications including sentiment analysis, topic labelling, intent classification and others. Obtaining text representations or embeddings using these models presents the possibility of encoding personally identifiable information learned from language and context cues that may present a risk to reputation or privacy. To ameliorate these issues, we propose Context-Aware Private Embeddings (CAPE), a novel approach which preserves privacy during training of embeddings. To maintain the privacy of text repres"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2108.12318","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/2108.12318/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":"2026-07-05T03:09:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eezqqBoY/r/NO92+NOwoNrkXD5UKjbOimwjkbcYV80d8AmXoPFqQbvqd07Rvs1HaviPnCbc2ivg/y5rDuGybBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-12T14:18:17.736797Z"},"content_sha256":"734e432fa956f18f6673e567de62606b37091c01c2c307e3dbf065d38d8ab822","schema_version":"1.0","event_id":"sha256:734e432fa956f18f6673e567de62606b37091c01c2c307e3dbf065d38d8ab822"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RPA3A7S5WWTKVRIMTFSR74VITF/bundle.json","state_url":"https://pith.science/pith/RPA3A7S5WWTKVRIMTFSR74VITF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RPA3A7S5WWTKVRIMTFSR74VITF/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":"2026-07-12T14:18:17Z","links":{"resolver":"https://pith.science/pith/RPA3A7S5WWTKVRIMTFSR74VITF","bundle":"https://pith.science/pith/RPA3A7S5WWTKVRIMTFSR74VITF/bundle.json","state":"https://pith.science/pith/RPA3A7S5WWTKVRIMTFSR74VITF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RPA3A7S5WWTKVRIMTFSR74VITF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:RPA3A7S5WWTKVRIMTFSR74VITF","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":"c22a35949b9b2f2ed83383550f2e6f129a1678f5a8f1feee1c4414d3d6170039","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2021-08-27T14:50:12Z","title_canon_sha256":"0d854899c21bb9e4175c4b36559530938970420730edae896d1ea5849719eda0"},"schema_version":"1.0","source":{"id":"2108.12318","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2108.12318","created_at":"2026-07-05T03:09:24Z"},{"alias_kind":"arxiv_version","alias_value":"2108.12318v1","created_at":"2026-07-05T03:09:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2108.12318","created_at":"2026-07-05T03:09:24Z"},{"alias_kind":"pith_short_12","alias_value":"RPA3A7S5WWTK","created_at":"2026-07-05T03:09:24Z"},{"alias_kind":"pith_short_16","alias_value":"RPA3A7S5WWTKVRIM","created_at":"2026-07-05T03:09:24Z"},{"alias_kind":"pith_short_8","alias_value":"RPA3A7S5","created_at":"2026-07-05T03:09:24Z"}],"graph_snapshots":[{"event_id":"sha256:734e432fa956f18f6673e567de62606b37091c01c2c307e3dbf065d38d8ab822","target":"graph","created_at":"2026-07-05T03:09:24Z","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/2108.12318/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deep learning-based language models have achieved state-of-the-art results in a number of applications including sentiment analysis, topic labelling, intent classification and others. Obtaining text representations or embeddings using these models presents the possibility of encoding personally identifiable information learned from language and context cues that may present a risk to reputation or privacy. To ameliorate these issues, we propose Context-Aware Private Embeddings (CAPE), a novel approach which preserves privacy during training of embeddings. To maintain the privacy of text repres","authors_text":"Dimitra Gkatzia, Richard Plant, Valerio Giuffrida","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2021-08-27T14:50:12Z","title":"CAPE: Context-Aware Private Embeddings for Private Language Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2108.12318","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":"sha256:7610505a9cd6d1e5abf39688ee29243688cfa41bf6096e43f044cece06a96e5b","target":"record","created_at":"2026-07-05T03:09:24Z","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":"c22a35949b9b2f2ed83383550f2e6f129a1678f5a8f1feee1c4414d3d6170039","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2021-08-27T14:50:12Z","title_canon_sha256":"0d854899c21bb9e4175c4b36559530938970420730edae896d1ea5849719eda0"},"schema_version":"1.0","source":{"id":"2108.12318","kind":"arxiv","version":1}},"canonical_sha256":"8bc1b07e5db5a6aac50c99651ff2a899545eca9d2fb5022878a0731a56fa8cc8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8bc1b07e5db5a6aac50c99651ff2a899545eca9d2fb5022878a0731a56fa8cc8","first_computed_at":"2026-07-05T03:09:24.462118Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:09:24.462118Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"JD8STEyumtlL5+4ffftwSHkbpQ2D9K4KujBWarp3mfWWdjUkc0DHYVJTxMiSgJdnv3ivbnkgTLcrBsnEs5deCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T03:09:24.462483Z","signed_message":"canonical_sha256_bytes"},"source_id":"2108.12318","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7610505a9cd6d1e5abf39688ee29243688cfa41bf6096e43f044cece06a96e5b","sha256:734e432fa956f18f6673e567de62606b37091c01c2c307e3dbf065d38d8ab822"],"state_sha256":"7a81fef1a27033fb1e9db537b25aa0352f6247347bc14aa30da5b8a6c49b1ae3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"by5RH0hVTBfPfjEuQXpvr5W03Nuho4SViVnrU90l/TMtXRiAIj6OhQ3JhseoNF3DVt+NjvOOyUE5r168VeI/Cg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-12T14:18:17.739434Z","bundle_sha256":"f2de5b27b2c3a31eb910d0b3e337c48363d54d0084b4a45609c4cf21c778e0e2"}}