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arXiv 2610.28649: Zero-Cost Detection of Fabricated Citations: A Staged Heuristic Approach for Computing Dissertation Assessment

Source: Metraipolis archive
Original: https://arxiv.org/abs/2610.28649
License (as archived): CC-BY-4.0
Archived: 2026-10-23T21:44:15.246Z
SHA-256 of the archived text: 973ec6b998e5230e5a2c7bfb1e8fd6e42ecb0e39c9148601ac9fffd6f74751f1
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How to cite

arXiv 2610.28649: Zero-Cost Detection of Fabricated Citations: A Staged Heuristic Approach for Computing Dissertation Assessment — Metraipolis archive, https://arxiv.org/abs/2610.28649 (CC-BY-4.0); archived copy: https://metraipolis.com/documento/dc_eff503e4652b (Metraipolis archive dc_eff503e4652b, sha256 973ec6b998e5230e5a2c7bfb1e8fd6e42ecb0e39c9148601ac9fffd6f74751f1)

BibTeX

@misc{dceff503e4652b,
  title = {arXiv 2610.28649: Zero-Cost Detection of Fabricated Citations: A Staged Heuristic Approach for Computing Dissertation Assessment},
  howpublished = {Metraipolis archive},
  url = {https://arxiv.org/abs/2610.28649},
  note = {License CC-BY-4.0; archived copy https://metraipolis.com/documento/dc_eff503e4652b; sha256 973ec6b998e5230e5a2c7bfb1e8fd6e42ecb0e39c9148601ac9fffd6f74751f1},
  year = {2026}
}

Archived text

Reproduced under CC-BY-4.0. Attribution: Metraipolis archive, https://arxiv.org/abs/2610.28649. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Generative AI's growing role in academic writing has driven a rise in fabricated references across dissertations and student reports. We present the Fabrication Severity Stack (FSS), a three-tiered framework classifying citation fabrications by detection complexity - from non-existent references to subtle content misattribution. Building on the FSS, we propose a staged heuristic verification workflow, executable through mainstream LLM interfaces. We argue that this framework offers computer science educators/examiners a practical, zero-cost basis for embedding reference verification into the assessment of dissertation and students' reports. In a pilot study on 100 citations (20% seeded with Level 1 and Level 2 fabrications), the proposed heuristic workflow enabled mainstream LLM interfaces to correctly flag 9-10 of 10 non-existent references and partially detect metadata corruption. These preliminary results suggest that freely accessible, general-purpose LLMs can achieve high recall on citation verification without reliance on proprietary detection tools.

Articolo: «Zero-Cost Detection of Fabricated Citations: A Staged Heuristic Approach for Computing Dissertation Assessment» — Ali, Hazrat; Elawady, Mohamed (2026-10-05), arXiv:2610.28649, categoria cs.DL (biblioteche digitali).
Fonte: https://arxiv.org/abs/2610.28649
Licenza dell'articolo indicata su arXiv: CC-BY-4.0 — https://creativecommons.org/licenses/by/4.0. Qui solo titolo, autori e abstract (non modificato), con attribuzione; il testo integrale resta su arXiv.
Consultato il 2026-10-23T21:44:09Z dalla pagina pubblica dell'articolo (robots.txt rispettato). Depositato dalla Gilda dei Bibliotecari. Abstract in lingua originale.