{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:GEO4HA4NPNRU4EEX25IVMV2NTC","short_pith_number":"pith:GEO4HA4N","canonical_record":{"source":{"id":"2506.16460","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-06-19T16:56:41Z","cross_cats_sorted":["cs.CR"],"title_canon_sha256":"4e684318bc0d815febf919d585785044b07cecad669d6516ab42481fdcf4f7b2","abstract_canon_sha256":"d5a4bb37938a216911c79bcd62322cc1cb8e6aedda57dbb474f41e2751b86112"},"schema_version":"1.0"},"canonical_sha256":"311dc3838d7b634e1097d75156574d988a6d4eeb35800ee1c306f0bb027d3d70","source":{"kind":"arxiv","id":"2506.16460","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.16460","created_at":"2026-07-05T11:24:36Z"},{"alias_kind":"arxiv_version","alias_value":"2506.16460v1","created_at":"2026-07-05T11:24:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.16460","created_at":"2026-07-05T11:24:36Z"},{"alias_kind":"pith_short_12","alias_value":"GEO4HA4NPNRU","created_at":"2026-07-05T11:24:36Z"},{"alias_kind":"pith_short_16","alias_value":"GEO4HA4NPNRU4EEX","created_at":"2026-07-05T11:24:36Z"},{"alias_kind":"pith_short_8","alias_value":"GEO4HA4N","created_at":"2026-07-05T11:24:36Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:GEO4HA4NPNRU4EEX25IVMV2NTC","target":"record","payload":{"canonical_record":{"source":{"id":"2506.16460","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-06-19T16:56:41Z","cross_cats_sorted":["cs.CR"],"title_canon_sha256":"4e684318bc0d815febf919d585785044b07cecad669d6516ab42481fdcf4f7b2","abstract_canon_sha256":"d5a4bb37938a216911c79bcd62322cc1cb8e6aedda57dbb474f41e2751b86112"},"schema_version":"1.0"},"canonical_sha256":"311dc3838d7b634e1097d75156574d988a6d4eeb35800ee1c306f0bb027d3d70","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:24:36.853571Z","signature_b64":"meRS15nxjWHrIHHMi/0KvikNXA1MZX2lTWVj9rtHYx5H9ynVWAOU0iO6yOOIdsSoevGYuPl9Bq2Sbq2KdxKtCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"311dc3838d7b634e1097d75156574d988a6d4eeb35800ee1c306f0bb027d3d70","last_reissued_at":"2026-07-05T11:24:36.853097Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:24:36.853097Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.16460","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":"2026-07-05T11:24:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yUppxscKZCPyGIDtTR4FJfU9vVJHuVM0BNGyyYHO+Zj6QFmPerfl/9kQPilTOufDWr9o44YDp4alsg4ySSXNCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T10:20:46.254796Z"},"content_sha256":"3457d28067ec1fa5c3b532b5a6e8d43a58748d85b6b6c793f5d0a1e7da24ef6f","schema_version":"1.0","event_id":"sha256:3457d28067ec1fa5c3b532b5a6e8d43a58748d85b6b6c793f5d0a1e7da24ef6f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:GEO4HA4NPNRU4EEX25IVMV2NTC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Black-Box Privacy Attacks on Shared Representations in Multitask Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CR"],"primary_cat":"cs.LG","authors_text":"Adam Smith, Alina Oprea, John Abascal, Jonathan Ullman, Matthew Jagielski, Nicol\\'as Berrios","submitted_at":"2025-06-19T16:56:41Z","abstract_excerpt":"Multitask learning (MTL) has emerged as a powerful paradigm that leverages similarities among multiple learning tasks, each with insufficient samples to train a standalone model, to solve them simultaneously while minimizing data sharing across users and organizations. MTL typically accomplishes this goal by learning a shared representation that captures common structure among the tasks by embedding data from all tasks into a common feature space. Despite being designed to be the smallest unit of shared information necessary to effectively learn patterns across multiple tasks, these shared rep"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.16460","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/2506.16460/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":"2026-07-05T11:24:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/Hocjvj+tB1Qna8kWxX8uUG7hIsCebo0j6959si/ST3jappc9lF67GI1oxGrrk5iRXpnZ6R+nkr+ulmiZk+RAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T10:20:46.255168Z"},"content_sha256":"1a4f04c2bac7f2203967ae9faf2eaa9789149349ee433ea570e72664ffe7b11c","schema_version":"1.0","event_id":"sha256:1a4f04c2bac7f2203967ae9faf2eaa9789149349ee433ea570e72664ffe7b11c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GEO4HA4NPNRU4EEX25IVMV2NTC/bundle.json","state_url":"https://pith.science/pith/GEO4HA4NPNRU4EEX25IVMV2NTC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GEO4HA4NPNRU4EEX25IVMV2NTC/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":"2026-08-22T10:20:46Z","links":{"resolver":"https://pith.science/pith/GEO4HA4NPNRU4EEX25IVMV2NTC","bundle":"https://pith.science/pith/GEO4HA4NPNRU4EEX25IVMV2NTC/bundle.json","state":"https://pith.science/pith/GEO4HA4NPNRU4EEX25IVMV2NTC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GEO4HA4NPNRU4EEX25IVMV2NTC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:GEO4HA4NPNRU4EEX25IVMV2NTC","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":"d5a4bb37938a216911c79bcd62322cc1cb8e6aedda57dbb474f41e2751b86112","cross_cats_sorted":["cs.CR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-06-19T16:56:41Z","title_canon_sha256":"4e684318bc0d815febf919d585785044b07cecad669d6516ab42481fdcf4f7b2"},"schema_version":"1.0","source":{"id":"2506.16460","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.16460","created_at":"2026-07-05T11:24:36Z"},{"alias_kind":"arxiv_version","alias_value":"2506.16460v1","created_at":"2026-07-05T11:24:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.16460","created_at":"2026-07-05T11:24:36Z"},{"alias_kind":"pith_short_12","alias_value":"GEO4HA4NPNRU","created_at":"2026-07-05T11:24:36Z"},{"alias_kind":"pith_short_16","alias_value":"GEO4HA4NPNRU4EEX","created_at":"2026-07-05T11:24:36Z"},{"alias_kind":"pith_short_8","alias_value":"GEO4HA4N","created_at":"2026-07-05T11:24:36Z"}],"graph_snapshots":[{"event_id":"sha256:1a4f04c2bac7f2203967ae9faf2eaa9789149349ee433ea570e72664ffe7b11c","target":"graph","created_at":"2026-07-05T11:24:36Z","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/2506.16460/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Multitask learning (MTL) has emerged as a powerful paradigm that leverages similarities among multiple learning tasks, each with insufficient samples to train a standalone model, to solve them simultaneously while minimizing data sharing across users and organizations. MTL typically accomplishes this goal by learning a shared representation that captures common structure among the tasks by embedding data from all tasks into a common feature space. Despite being designed to be the smallest unit of shared information necessary to effectively learn patterns across multiple tasks, these shared rep","authors_text":"Adam Smith, Alina Oprea, John Abascal, Jonathan Ullman, Matthew Jagielski, Nicol\\'as Berrios","cross_cats":["cs.CR"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-06-19T16:56:41Z","title":"Black-Box Privacy Attacks on Shared Representations in Multitask Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.16460","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":"sha256:3457d28067ec1fa5c3b532b5a6e8d43a58748d85b6b6c793f5d0a1e7da24ef6f","target":"record","created_at":"2026-07-05T11:24:36Z","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":"d5a4bb37938a216911c79bcd62322cc1cb8e6aedda57dbb474f41e2751b86112","cross_cats_sorted":["cs.CR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-06-19T16:56:41Z","title_canon_sha256":"4e684318bc0d815febf919d585785044b07cecad669d6516ab42481fdcf4f7b2"},"schema_version":"1.0","source":{"id":"2506.16460","kind":"arxiv","version":1}},"canonical_sha256":"311dc3838d7b634e1097d75156574d988a6d4eeb35800ee1c306f0bb027d3d70","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"311dc3838d7b634e1097d75156574d988a6d4eeb35800ee1c306f0bb027d3d70","first_computed_at":"2026-07-05T11:24:36.853097Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:24:36.853097Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"meRS15nxjWHrIHHMi/0KvikNXA1MZX2lTWVj9rtHYx5H9ynVWAOU0iO6yOOIdsSoevGYuPl9Bq2Sbq2KdxKtCw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:24:36.853571Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.16460","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3457d28067ec1fa5c3b532b5a6e8d43a58748d85b6b6c793f5d0a1e7da24ef6f","sha256:1a4f04c2bac7f2203967ae9faf2eaa9789149349ee433ea570e72664ffe7b11c"],"state_sha256":"0a93edac2258fcbd0fdd0465601187a7c488bb5aed2aeb25c76c795e104d911a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"s+gsL/yykLvJkwSSuTeCVhiAgkFFs3djQYZe0i7R/IxgS/niJquonEroGm93VW9Ajp+HrsIYCw1J94OtxtzzCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-22T10:20:46.257893Z","bundle_sha256":"cd718a875499470bc182375b4a4f672672afa3819a61fe770eccbb0263400097"}}