Pith Number

pith:N3HQVOAN

pith:2026:N3HQVOAN6TEHKDTE6TAAIWBP5U

not attested not anchored not stored refs resolved

Overreliance in Writing Tasks: Exploring Similarity-Based Measures of AI Influence on Writing and Proposing a Reflective Writing Interface Intervention

Nicholas Vincent, Vitor H. A. Welzel

AI assistance is linked to greater reuse of its suggestions in users' final writing, and a reflective interface may increase awareness of that influence.

arxiv:2605.15322 v1 · 2026-05-14 · cs.HC

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\pithnumber{N3HQVOAN6TEHKDTE6TAAIWBP5U}

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Record completeness

1 Bitcoin timestamp

2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

✓ Portable graph bundle live · download bundle · merged state

The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest 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.

C2weakest 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.

C3one 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.

References

49 extracted · 49 resolved · 2 Pith anchors

[1] 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 2023

[2] 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 2025 · doi:10.1038/s41598-025-95387-y

[3] URL https://www.cureus.com/articles/ 138667-artificial-hallucinations-in-chatgpt-implications-in-scientific-writing 2023 · doi:10.7759/cureus.35179

[4] 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 2023

[5] Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems , articleno = 2021 · doi:10.1145/3411764.3445717

Formal links

1 machine-checked theorem link

Receipt and verification

First computed	2026-05-20T00:00:52.610923Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

6ecf0ab80df4c8750e64f4c004582fed33ef49bef524c913b3a367709f6c19cf

Aliases

arxiv: 2605.15322 · arxiv_version: 2605.15322v1 · doi: 10.48550/arxiv.2605.15322 · pith_short_12: N3HQVOAN6TEH · pith_short_16: N3HQVOAN6TEHKDTE · pith_short_8: N3HQVOAN

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/N3HQVOAN6TEHKDTE6TAAIWBP5U \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 6ecf0ab80df4c8750e64f4c004582fed33ef49bef524c913b3a367709f6c19cf

Canonical record JSON

{
  "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
  }
}