{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:6DZMIBNAZ4FEBORFP2LWX4QO46","short_pith_number":"pith:6DZMIBNA","schema_version":"1.0","canonical_sha256":"f0f2c405a0cf0a40ba257e976bf20ee7af1f92eb78d956042f5f60cf1912d563","source":{"kind":"arxiv","id":"1805.01217","version":2},"attestation_state":"computed","paper":{"title":"CLAUDETTE: an Automated Detector of Potentially Unfair Clauses in Online Terms of Service","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CY"],"primary_cat":"cs.AI","authors_text":"Francesca Lagioia, Giovanni Sartor, Giuseppe Contissa, Hans-Wolfgang Micklitz, Marco Lippi, Paolo Torroni, Przemyslaw Palka","submitted_at":"2018-05-03T10:53:54Z","abstract_excerpt":"Terms of service of on-line platforms too often contain clauses that are potentially unfair to the consumer. We present an experimental study where machine learning is employed to automatically detect such potentially unfair clauses. Results show that the proposed system could provide a valuable tool for lawyers and consumers alike."},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1805.01217","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2018-05-03T10:53:54Z","cross_cats_sorted":["cs.CY"],"title_canon_sha256":"1a25c89e707d07cecc5559eca54bba1157b48709dcd74c919555706c44429e22","abstract_canon_sha256":"e39eda618eb5edd736113e6b41b588fda461e5177d22315483a35faf531a8ef1"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:36:14.342667Z","signature_b64":"sxXoiCpw2JecSHvz9aNxcK88PJGJD6DNb+kWTrijKODhQigQn4+H1//zwNBL5srs+s2OBs/+/zZPh6tQeIkUCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f0f2c405a0cf0a40ba257e976bf20ee7af1f92eb78d956042f5f60cf1912d563","last_reissued_at":"2026-07-05T00:36:14.342117Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:36:14.342117Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"CLAUDETTE: an Automated Detector of Potentially Unfair Clauses in Online Terms of Service","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CY"],"primary_cat":"cs.AI","authors_text":"Francesca Lagioia, Giovanni Sartor, Giuseppe Contissa, Hans-Wolfgang Micklitz, Marco Lippi, Paolo Torroni, Przemyslaw Palka","submitted_at":"2018-05-03T10:53:54Z","abstract_excerpt":"Terms of service of on-line platforms too often contain clauses that are potentially unfair to the consumer. We present an experimental study where machine learning is employed to automatically detect such potentially unfair clauses. Results show that the proposed system could provide a valuable tool for lawyers and consumers alike."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.01217","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/1805.01217/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1805.01217","created_at":"2026-07-05T00:36:14.342181+00:00"},{"alias_kind":"arxiv_version","alias_value":"1805.01217v2","created_at":"2026-07-05T00:36:14.342181+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.01217","created_at":"2026-07-05T00:36:14.342181+00:00"},{"alias_kind":"pith_short_12","alias_value":"6DZMIBNAZ4FE","created_at":"2026-07-05T00:36:14.342181+00:00"},{"alias_kind":"pith_short_16","alias_value":"6DZMIBNAZ4FEBORF","created_at":"2026-07-05T00:36:14.342181+00:00"},{"alias_kind":"pith_short_8","alias_value":"6DZMIBNA","created_at":"2026-07-05T00:36:14.342181+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/6DZMIBNAZ4FEBORFP2LWX4QO46","json":"https://pith.science/pith/6DZMIBNAZ4FEBORFP2LWX4QO46.json","graph_json":"https://pith.science/api/pith-number/6DZMIBNAZ4FEBORFP2LWX4QO46/graph.json","events_json":"https://pith.science/api/pith-number/6DZMIBNAZ4FEBORFP2LWX4QO46/events.json","paper":"https://pith.science/paper/6DZMIBNA"},"agent_actions":{"view_html":"https://pith.science/pith/6DZMIBNAZ4FEBORFP2LWX4QO46","download_json":"https://pith.science/pith/6DZMIBNAZ4FEBORFP2LWX4QO46.json","view_paper":"https://pith.science/paper/6DZMIBNA","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1805.01217&json=true","fetch_graph":"https://pith.science/api/pith-number/6DZMIBNAZ4FEBORFP2LWX4QO46/graph.json","fetch_events":"https://pith.science/api/pith-number/6DZMIBNAZ4FEBORFP2LWX4QO46/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/6DZMIBNAZ4FEBORFP2LWX4QO46/action/timestamp_anchor","attest_storage":"https://pith.science/pith/6DZMIBNAZ4FEBORFP2LWX4QO46/action/storage_attestation","attest_author":"https://pith.science/pith/6DZMIBNAZ4FEBORFP2LWX4QO46/action/author_attestation","sign_citation":"https://pith.science/pith/6DZMIBNAZ4FEBORFP2LWX4QO46/action/citation_signature","submit_replication":"https://pith.science/pith/6DZMIBNAZ4FEBORFP2LWX4QO46/action/replication_record"}},"created_at":"2026-07-05T00:36:14.342181+00:00","updated_at":"2026-07-05T00:36:14.342181+00:00"}