{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:N3HQVOAN6TEHKDTE6TAAIWBP5U","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":"a0124887cd97d99ac04210ab78b3e3f95e90fbf2f55da7df91bc2173db4222bd","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2026-05-14T18:36:08Z","title_canon_sha256":"63235da0c798512ef6327db96367201a23e4f35a2f6ae11b79ad001ae6104511"},"schema_version":"1.0","source":{"id":"2605.15322","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.15322","created_at":"2026-05-20T00:00:52Z"},{"alias_kind":"arxiv_version","alias_value":"2605.15322v1","created_at":"2026-05-20T00:00:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.15322","created_at":"2026-05-20T00:00:52Z"},{"alias_kind":"pith_short_12","alias_value":"N3HQVOAN6TEH","created_at":"2026-05-20T00:00:52Z"},{"alias_kind":"pith_short_16","alias_value":"N3HQVOAN6TEHKDTE","created_at":"2026-05-20T00:00:52Z"},{"alias_kind":"pith_short_8","alias_value":"N3HQVOAN","created_at":"2026-05-20T00:00:52Z"}],"graph_snapshots":[{"event_id":"sha256:b2f56f6409550c54eea670f41983636cba89da70b0c14a04490306524969f767","target":"graph","created_at":"2026-05-20T00:00:52Z","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":4,"items":[{"attestation":"unclaimed","claim_id":"C1","kind":"strongest_claim","source":"verdict.strongest_claim","status":"machine_extracted","text":"AI assistance is associated with patterns of suggestion reuse. Evidence from a small follow-up think-aloud study suggests that the interface can increase users' awareness of how AI outputs are incorporated into their writing and may support more conscious engagement with AI assistance."},{"attestation":"unclaimed","claim_id":"C2","kind":"weakest_assumption","source":"verdict.weakest_assumption","status":"machine_extracted","text":"That measured textual overlap between AI suggestions and final participant writing serves as a valid proxy for overreliance or influence rather than reflecting other factors such as idea adoption or stylistic convergence."},{"attestation":"unclaimed","claim_id":"C3","kind":"one_line_summary","source":"verdict.one_line_summary","status":"machine_extracted","text":"Mixed-methods study finds AI assistance linked to higher textual overlap with suggestions in writing tasks, and a reflective interface prototype increases user awareness of AI incorporation."},{"attestation":"unclaimed","claim_id":"C4","kind":"headline","source":"verdict.pith_extraction.headline","status":"machine_extracted","text":"AI assistance is linked to greater reuse of its suggestions in users' final writing, and a reflective interface may increase awareness of that influence."}],"snapshot_sha256":"b3cb3af7dbb98ed4717d2d6f3c1e1592da64879541ef4d30a4b5e35ef0163c95"},"formal_canon":{"evidence_count":1,"snapshot_sha256":"b98e32d38b56f28425b9417eb1dac08ed16267ac50dbe0d855daedd264658cf2"},"integrity":{"available":true,"clean":true,"detectors_run":[{"findings_count":0,"name":"doi_compliance","ran_at":"2026-05-19T16:04:55.022993Z","status":"completed","version":"1.0.0"},{"findings_count":0,"name":"doi_title_agreement","ran_at":"2026-05-19T16:01:18.147611Z","status":"completed","version":"1.0.0"},{"findings_count":0,"name":"claim_evidence","ran_at":"2026-05-19T14:41:54.205416Z","status":"completed","version":"1.0.0"},{"findings_count":0,"name":"ai_meta_artifact","ran_at":"2026-05-19T13:33:22.767606Z","status":"skipped","version":"1.0.0"}],"endpoint":"/pith/2605.15322/integrity.json","findings":[],"snapshot_sha256":"c0e8554d4f8c048eccf69fda3ae24b2bd222e90f24531a7c89cc731575bc5ad0","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"As generative AI (GenAI) systems become increasingly proficient at simulating human-like and well-reasoned text, users may attribute authority to AI outputs, shaping how they engage with writing and reasoning tasks. While prior work has raised concerns about AI overreliance, empirical approaches for observing this phenomenon during open-ended writing remain limited. In this paper, we examine how GenAI assistance influences users' interactions with AI suggestions during writing. We report results from a mixed-methods study in which 47 participants completed analysis and synthesis writing tasks ","authors_text":"Nicholas Vincent, Vitor H. A. Welzel","cross_cats":[],"headline":"AI assistance is linked to greater reuse of its suggestions in users' final writing, and a reflective interface may increase awareness of that influence.","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2026-05-14T18:36:08Z","title":"Overreliance in Writing Tasks: Exploring Similarity-Based Measures of AI Influence on Writing and Proposing a Reflective Writing Interface Intervention"},"references":{"count":49,"internal_anchors":2,"resolved_work":49,"sample":[{"cited_arxiv_id":"","doi":"","is_internal_anchor":false,"ref_index":1,"title":"Odeyinka Abiola, Adebayo Abayomi-Alli, Oluwasefunmi Arogundade Tale, Sanjay Misra, and Olusola Abayomi-Alli. 2023. Sentiment analysis of COVID-19 tweets from selected hashtags in Nigeria using VADER a","work_id":"4f92bb82-b1bf-43d2-b2b3-f2726fbb9e87","year":2023},{"cited_arxiv_id":"","doi":"10.1038/s41598-025-95387-y","is_internal_anchor":false,"ref_index":2,"title":"Matheel Al-Rawas, Omar Qader, Nurul Othman, Noor Ismail, Rosnani Mamat, Mohamad Syahrizal Halim, Johari Abdullah, and Tahir Noorani. 2025. Identification of dental related ChatGPT generated abstracts ","work_id":"5c6ca70d-8ec7-4aa6-8c30-5922c3d7891f","year":2025},{"cited_arxiv_id":"","doi":"10.7759/cureus.35179","is_internal_anchor":false,"ref_index":3,"title":"URL https://www.cureus.com/articles/ 138667-artificial-hallucinations-in-chatgpt-implications-in-scientific-writing","work_id":"b36c679f-9e28-4e5b-aa48-c434730645a3","year":2023},{"cited_arxiv_id":"","doi":"","is_internal_anchor":false,"ref_index":4,"title":"Garrett Allen, Mike Beijen, David Maxwell, and Ujwal Gadiraju. 2023. In a Hurry: How Time Constraints and the Presentation of Web Search Results Affect User Behaviour and Experience. InInternational C","work_id":"2b8cae7d-f8ba-4d17-b658-9e6ed24e80e8","year":2023},{"cited_arxiv_id":"","doi":"10.1145/3411764.3445717","is_internal_anchor":false,"ref_index":5,"title":"Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems , articleno =","work_id":"f5a42a8d-4db3-459e-9893-b94d3073dec0","year":2021}],"snapshot_sha256":"dca9570f826a5709678aead5b3dd70c3aca5fd018169539fa04737e7b47d9c63"},"source":{"id":"2605.15322","kind":"arxiv","version":1},"verdict":{"created_at":"2026-05-19T15:52:09.324194Z","id":"84ce9895-d953-497c-bf55-574bb207b96a","model_set":{"reader":"grok-4.3"},"one_line_summary":"Mixed-methods study finds AI assistance linked to higher textual overlap with suggestions in writing tasks, and a reflective interface prototype increases user awareness of AI incorporation.","pipeline_version":"pith-pipeline@v0.9.0","pith_extraction_headline":"AI assistance is linked to greater reuse of its suggestions in users' final writing, and a reflective interface may increase awareness of that influence.","strongest_claim":"AI assistance is associated with patterns of suggestion reuse. Evidence from a small follow-up think-aloud study suggests that the interface can increase users' awareness of how AI outputs are incorporated into their writing and may support more conscious engagement with AI assistance.","weakest_assumption":"That measured textual overlap between AI suggestions and final participant writing serves as a valid proxy for overreliance or influence rather than reflecting other factors such as idea adoption or stylistic convergence."}},"verdict_id":"84ce9895-d953-497c-bf55-574bb207b96a"}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:729fe654c6ce438b9295bfbb495579d3c880a3b1769358e31cf8da52b5ee0fb3","target":"record","created_at":"2026-05-20T00:00:52Z","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":"a0124887cd97d99ac04210ab78b3e3f95e90fbf2f55da7df91bc2173db4222bd","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2026-05-14T18:36:08Z","title_canon_sha256":"63235da0c798512ef6327db96367201a23e4f35a2f6ae11b79ad001ae6104511"},"schema_version":"1.0","source":{"id":"2605.15322","kind":"arxiv","version":1}},"canonical_sha256":"6ecf0ab80df4c8750e64f4c004582fed33ef49bef524c913b3a367709f6c19cf","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6ecf0ab80df4c8750e64f4c004582fed33ef49bef524c913b3a367709f6c19cf","first_computed_at":"2026-05-20T00:00:52.610923Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T00:00:52.610923Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"VYSkavXZkSeau/G1p4W1/gAcb+NGmEDNa6vekd4dNlxz7RuKaqIXxh1EhntvP6ZUPyD3sLO1CZjGthf0LmA2Aw==","signature_status":"signed_v1","signed_at":"2026-05-20T00:00:52.611759Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.15322","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:729fe654c6ce438b9295bfbb495579d3c880a3b1769358e31cf8da52b5ee0fb3","sha256:b2f56f6409550c54eea670f41983636cba89da70b0c14a04490306524969f767"],"state_sha256":"8c4877b524b1ae9e5d6825b02216a04b3b8229cd099fa4b3663284e0a4258b95"}