{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:ER5VLJTTTBJNQO5RSSWAES7JN3","short_pith_number":"pith:ER5VLJTT","canonical_record":{"source":{"id":"2211.06543","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-11-12T01:53:49Z","cross_cats_sorted":["cs.CR"],"title_canon_sha256":"62df868566c959482e73215e24a45f2291aad30bc1c057aed4a5fc5f0ae0fcf1","abstract_canon_sha256":"66da592db3cc1dc68f13035d5c3ba2effce4b963126f06174368b01a967287a5"},"schema_version":"1.0"},"canonical_sha256":"247b55a6739852d83bb194ac024be96ed02027b18a3119e68aff202e6d21424e","source":{"kind":"arxiv","id":"2211.06543","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.06543","created_at":"2026-07-05T10:41:09Z"},{"alias_kind":"arxiv_version","alias_value":"2211.06543v2","created_at":"2026-07-05T10:41:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.06543","created_at":"2026-07-05T10:41:09Z"},{"alias_kind":"pith_short_12","alias_value":"ER5VLJTTTBJN","created_at":"2026-07-05T10:41:09Z"},{"alias_kind":"pith_short_16","alias_value":"ER5VLJTTTBJNQO5R","created_at":"2026-07-05T10:41:09Z"},{"alias_kind":"pith_short_8","alias_value":"ER5VLJTT","created_at":"2026-07-05T10:41:09Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:ER5VLJTTTBJNQO5RSSWAES7JN3","target":"record","payload":{"canonical_record":{"source":{"id":"2211.06543","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-11-12T01:53:49Z","cross_cats_sorted":["cs.CR"],"title_canon_sha256":"62df868566c959482e73215e24a45f2291aad30bc1c057aed4a5fc5f0ae0fcf1","abstract_canon_sha256":"66da592db3cc1dc68f13035d5c3ba2effce4b963126f06174368b01a967287a5"},"schema_version":"1.0"},"canonical_sha256":"247b55a6739852d83bb194ac024be96ed02027b18a3119e68aff202e6d21424e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:41:09.357138Z","signature_b64":"fTZVIjxdsfOmrae7g3gqq0r3UNpDxSpU+greiChhnbIKaABuMeOjH8IzvyVMtj8QU4Fwd8Ki+6840mWJMiivBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"247b55a6739852d83bb194ac024be96ed02027b18a3119e68aff202e6d21424e","last_reissued_at":"2026-07-05T10:41:09.356740Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:41:09.356740Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2211.06543","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":"2026-07-05T10:41:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KZbZa3T6D5JmjNsTCin9NC9i+GMmquZl91vCoDlBXz/0JGT+bxb0RUW/8AFnhMEJf654tmjJWyFQGo5bee1IBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T18:08:49.708279Z"},"content_sha256":"1f1ce42722fc744ec041b47e6a092fecd361ac78b1d7cd0aa9e12cfae1c8f5d5","schema_version":"1.0","event_id":"sha256:1f1ce42722fc744ec041b47e6a092fecd361ac78b1d7cd0aa9e12cfae1c8f5d5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:ER5VLJTTTBJNQO5RSSWAES7JN3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Dark patterns in e-commerce: a dataset and its baseline evaluations","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CR"],"primary_cat":"cs.LG","authors_text":"Fuyuko Kido, Hayato Yamana, Jiaying Feng, Nao Fukushima, Tsuneo Matsumoto, Yuki Yada","submitted_at":"2022-11-12T01:53:49Z","abstract_excerpt":"Dark patterns, which are user interface designs in online services, induce users to take unintended actions. Recently, dark patterns have been raised as an issue of privacy and fairness. Thus, a wide range of research on detecting dark patterns is eagerly awaited. In this work, we constructed a dataset for dark pattern detection and prepared its baseline detection performance with state-of-the-art machine learning methods. The original dataset was obtained from Mathur et al.'s study in 2019, which consists of 1,818 dark pattern texts from shopping sites. Then, we added negative samples, i.e., "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.06543","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/2211.06543/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":"2026-07-05T10:41:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wYq9yo/flyWvvVj0YPsxgky38L1nNN/9Vq7SKpn7PWPQU0AKhorElbOwKhURzUMIx1Q3VcZCsAA6n5nIsd7VBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T18:08:49.708818Z"},"content_sha256":"1b1f71e3a56f81f9e342a28dc1103b1d87cffd8eaf8141a8638b601b8283afb1","schema_version":"1.0","event_id":"sha256:1b1f71e3a56f81f9e342a28dc1103b1d87cffd8eaf8141a8638b601b8283afb1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ER5VLJTTTBJNQO5RSSWAES7JN3/bundle.json","state_url":"https://pith.science/pith/ER5VLJTTTBJNQO5RSSWAES7JN3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ER5VLJTTTBJNQO5RSSWAES7JN3/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":"2026-08-03T18:08:49Z","links":{"resolver":"https://pith.science/pith/ER5VLJTTTBJNQO5RSSWAES7JN3","bundle":"https://pith.science/pith/ER5VLJTTTBJNQO5RSSWAES7JN3/bundle.json","state":"https://pith.science/pith/ER5VLJTTTBJNQO5RSSWAES7JN3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ER5VLJTTTBJNQO5RSSWAES7JN3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:ER5VLJTTTBJNQO5RSSWAES7JN3","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":"66da592db3cc1dc68f13035d5c3ba2effce4b963126f06174368b01a967287a5","cross_cats_sorted":["cs.CR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-11-12T01:53:49Z","title_canon_sha256":"62df868566c959482e73215e24a45f2291aad30bc1c057aed4a5fc5f0ae0fcf1"},"schema_version":"1.0","source":{"id":"2211.06543","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.06543","created_at":"2026-07-05T10:41:09Z"},{"alias_kind":"arxiv_version","alias_value":"2211.06543v2","created_at":"2026-07-05T10:41:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.06543","created_at":"2026-07-05T10:41:09Z"},{"alias_kind":"pith_short_12","alias_value":"ER5VLJTTTBJN","created_at":"2026-07-05T10:41:09Z"},{"alias_kind":"pith_short_16","alias_value":"ER5VLJTTTBJNQO5R","created_at":"2026-07-05T10:41:09Z"},{"alias_kind":"pith_short_8","alias_value":"ER5VLJTT","created_at":"2026-07-05T10:41:09Z"}],"graph_snapshots":[{"event_id":"sha256:1b1f71e3a56f81f9e342a28dc1103b1d87cffd8eaf8141a8638b601b8283afb1","target":"graph","created_at":"2026-07-05T10:41:09Z","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/2211.06543/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Dark patterns, which are user interface designs in online services, induce users to take unintended actions. Recently, dark patterns have been raised as an issue of privacy and fairness. Thus, a wide range of research on detecting dark patterns is eagerly awaited. In this work, we constructed a dataset for dark pattern detection and prepared its baseline detection performance with state-of-the-art machine learning methods. The original dataset was obtained from Mathur et al.'s study in 2019, which consists of 1,818 dark pattern texts from shopping sites. Then, we added negative samples, i.e., ","authors_text":"Fuyuko Kido, Hayato Yamana, Jiaying Feng, Nao Fukushima, Tsuneo Matsumoto, Yuki Yada","cross_cats":["cs.CR"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-11-12T01:53:49Z","title":"Dark patterns in e-commerce: a dataset and its baseline evaluations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.06543","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":"sha256:1f1ce42722fc744ec041b47e6a092fecd361ac78b1d7cd0aa9e12cfae1c8f5d5","target":"record","created_at":"2026-07-05T10:41:09Z","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":"66da592db3cc1dc68f13035d5c3ba2effce4b963126f06174368b01a967287a5","cross_cats_sorted":["cs.CR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-11-12T01:53:49Z","title_canon_sha256":"62df868566c959482e73215e24a45f2291aad30bc1c057aed4a5fc5f0ae0fcf1"},"schema_version":"1.0","source":{"id":"2211.06543","kind":"arxiv","version":2}},"canonical_sha256":"247b55a6739852d83bb194ac024be96ed02027b18a3119e68aff202e6d21424e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"247b55a6739852d83bb194ac024be96ed02027b18a3119e68aff202e6d21424e","first_computed_at":"2026-07-05T10:41:09.356740Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:41:09.356740Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"fTZVIjxdsfOmrae7g3gqq0r3UNpDxSpU+greiChhnbIKaABuMeOjH8IzvyVMtj8QU4Fwd8Ki+6840mWJMiivBA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:41:09.357138Z","signed_message":"canonical_sha256_bytes"},"source_id":"2211.06543","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1f1ce42722fc744ec041b47e6a092fecd361ac78b1d7cd0aa9e12cfae1c8f5d5","sha256:1b1f71e3a56f81f9e342a28dc1103b1d87cffd8eaf8141a8638b601b8283afb1"],"state_sha256":"b80fc434b78d63708264692064f2f9398f7d795586039f483c8984855dd56447"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PB49VkpCMO0mFIpqW6gm3rh2+o9Q+lFq3zS6Eoc599LybSrMpmYC2H5dEWozExLHSb2JmO0Nhvd//g2GNiV0Aw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T18:08:49.714376Z","bundle_sha256":"a1197de7383e27959d1278323cbec5a2b7a7844db3316c7cf760e235265f3bd6"}}