{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:MFM22LEW47U6SPNM6YXWYGBF2L","short_pith_number":"pith:MFM22LEW","schema_version":"1.0","canonical_sha256":"6159ad2c96e7e9e93dacf62f6c1825d2c30cc16b0848c3c31486e2822f7290b1","source":{"kind":"arxiv","id":"2506.22623","version":1},"attestation_state":"computed","paper":{"title":"Temperature Matters: Enhancing Watermark Robustness Against Paraphrasing Attacks","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Amelia Sorrenti, Badr Youbi Idrissi, Daryna Dementieva, Lorenzo Baraldi, Monica Millunzi","submitted_at":"2025-06-27T20:39:35Z","abstract_excerpt":"In the present-day scenario, Large Language Models (LLMs) are establishing their presence as powerful instruments permeating various sectors of society. While their utility offers valuable support to individuals, there are multiple concerns over potential misuse. Consequently, some academic endeavors have sought to introduce watermarking techniques, characterized by the inclusion of markers within machine-generated text, to facilitate algorithmic identification. This research project is focused on the development of a novel methodology for the detection of synthetic text, with the overarching "},"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":"2506.22623","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-27T20:39:35Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"a35eddb0d9dc3b0c279209fb95eb195d5098f543850f154d1d17e54a5d4de3b7","abstract_canon_sha256":"e674123577f339b479eea99ed3c38c8a5d58b9340f69cad0900f0398b7314618"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:28:42.089388Z","signature_b64":"XZvGB04kiwQYqiU58ForA5NSH/+SgazpiPN0gUfwNH4SuftD0EUgVocNkVGfjwlDdFEdhb6ecfUKq8GHAE1+BA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6159ad2c96e7e9e93dacf62f6c1825d2c30cc16b0848c3c31486e2822f7290b1","last_reissued_at":"2026-07-05T11:28:42.088956Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:28:42.088956Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Temperature Matters: Enhancing Watermark Robustness Against Paraphrasing Attacks","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Amelia Sorrenti, Badr Youbi Idrissi, Daryna Dementieva, Lorenzo Baraldi, Monica Millunzi","submitted_at":"2025-06-27T20:39:35Z","abstract_excerpt":"In the present-day scenario, Large Language Models (LLMs) are establishing their presence as powerful instruments permeating various sectors of society. While their utility offers valuable support to individuals, there are multiple concerns over potential misuse. Consequently, some academic endeavors have sought to introduce watermarking techniques, characterized by the inclusion of markers within machine-generated text, to facilitate algorithmic identification. This research project is focused on the development of a novel methodology for the detection of synthetic text, with the overarching "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.22623","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/2506.22623/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":"2506.22623","created_at":"2026-07-05T11:28:42.089020+00:00"},{"alias_kind":"arxiv_version","alias_value":"2506.22623v1","created_at":"2026-07-05T11:28:42.089020+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.22623","created_at":"2026-07-05T11:28:42.089020+00:00"},{"alias_kind":"pith_short_12","alias_value":"MFM22LEW47U6","created_at":"2026-07-05T11:28:42.089020+00:00"},{"alias_kind":"pith_short_16","alias_value":"MFM22LEW47U6SPNM","created_at":"2026-07-05T11:28:42.089020+00:00"},{"alias_kind":"pith_short_8","alias_value":"MFM22LEW","created_at":"2026-07-05T11:28:42.089020+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/MFM22LEW47U6SPNM6YXWYGBF2L","json":"https://pith.science/pith/MFM22LEW47U6SPNM6YXWYGBF2L.json","graph_json":"https://pith.science/api/pith-number/MFM22LEW47U6SPNM6YXWYGBF2L/graph.json","events_json":"https://pith.science/api/pith-number/MFM22LEW47U6SPNM6YXWYGBF2L/events.json","paper":"https://pith.science/paper/MFM22LEW"},"agent_actions":{"view_html":"https://pith.science/pith/MFM22LEW47U6SPNM6YXWYGBF2L","download_json":"https://pith.science/pith/MFM22LEW47U6SPNM6YXWYGBF2L.json","view_paper":"https://pith.science/paper/MFM22LEW","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2506.22623&json=true","fetch_graph":"https://pith.science/api/pith-number/MFM22LEW47U6SPNM6YXWYGBF2L/graph.json","fetch_events":"https://pith.science/api/pith-number/MFM22LEW47U6SPNM6YXWYGBF2L/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/MFM22LEW47U6SPNM6YXWYGBF2L/action/timestamp_anchor","attest_storage":"https://pith.science/pith/MFM22LEW47U6SPNM6YXWYGBF2L/action/storage_attestation","attest_author":"https://pith.science/pith/MFM22LEW47U6SPNM6YXWYGBF2L/action/author_attestation","sign_citation":"https://pith.science/pith/MFM22LEW47U6SPNM6YXWYGBF2L/action/citation_signature","submit_replication":"https://pith.science/pith/MFM22LEW47U6SPNM6YXWYGBF2L/action/replication_record"}},"created_at":"2026-07-05T11:28:42.089020+00:00","updated_at":"2026-07-05T11:28:42.089020+00:00"}