{"id":556,"date":"2026-04-12T01:18:06","date_gmt":"2026-04-12T01:18:06","guid":{"rendered":"https:\/\/quantusintel.group\/osint\/blog\/2026\/04\/12\/for-the-record-two-ai-research-institutions-cited-my-work-and-both-omitted-four-papers\/"},"modified":"2026-04-12T01:18:06","modified_gmt":"2026-04-12T01:18:06","slug":"for-the-record-two-ai-research-institutions-cited-my-work-and-both-omitted-four-papers","status":"publish","type":"post","link":"https:\/\/quantusintel.group\/osint\/blog\/2026\/04\/12\/for-the-record-two-ai-research-institutions-cited-my-work-and-both-omitted-four-papers\/","title":{"rendered":"FOR THE RECORD: Two AI Research Institutions Cited My Work \u2014 And Both Omitted Four Papers"},"content":{"rendered":"

Author: Berend Watchus. Independent non-profit AI & Cybersecurity Researcher. April 10, 2026. [Publication for: OSINT\u00a0Team]<\/em><\/p>\n

Undercitation at 80%: How the Department of Computer Engineering and Technology and the Department of Computer Science at Guru Nanak Dev University, Amritsar, and the Center for Automation and Robotics at CSIC-UPM, Madrid, together with the Department of Electronic Engineering at the University of Azuay, Cuenca, Ecuador, Each Selected One Paper from a Five-Paper Stack\u200a\u2014\u200aand Left Four Off the\u00a0Record<\/em><\/h4>\n
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https:\/\/www.preprints.org\/manuscript\/202411.0661<\/a><\/figcaption><\/figure>\n
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https:\/\/ijarcce.com\/wp-content\/uploads\/2025\/02\/IJARCCE.2025.14211.pdf<\/a> \/\/ https:\/\/www.researchgate.net\/publication\/389540929_A_Vision_in_Explainable_AI_XAI<\/a><\/figcaption><\/figure>\n

This article concerns two academic institutions and their published research. The first is Guru Nanak Dev University, Amritsar, India\u200a\u2014\u200aspecifically<\/p>\n

the Department of Computer Engineering and Technology and the Department of Computer\u00a0Science,<\/h4>\n

whose researchers published a survey of Explainable AI in IJARCCE in February\u00a02025.<\/p>\n

The second\u00a0is<\/p>\n

the Center for Automation and Robotics at CSIC-UPM, Madrid, Spain, together with the Department of Electronic Engineering at the University of Azuay, Cuenca,\u00a0Ecuador,<\/h4>\n

whose researchers published an empirical study of sensorimotor self-awareness in embodied AI on arXiv in May 2025. Both institutions cited my November 2024 research. Both cited one paper from a stack of five. This is the record of what they cited, what they had access to, and what they\u00a0omitted.<\/p>\n

That sets the institutional context immediately and clearly for any reader, journalist, archivist, or researcher who lands on the article\u00a0cold.<\/p>\n

Summary<\/strong><\/p>\n

Two academic papers cited my 2024 research. Both selected one paper from a five-paper stack. Both had access to all five. Both also had access to a physical book containing all five papers, registered with an ISBN, printed and distributed before either paper was submitted. This is a public statement correcting the record on what was cited, what was available, what was omitted, and why the omissions matter\u200a\u2014\u200afor both papers simultaneously, because the undercitation pattern is identical in each\u00a0case.<\/p>\n

The Two\u00a0Papers<\/strong><\/p>\n

Paper A\u200a\u2014\u200aThe XAI Paper:<\/strong> \u201cA Vision in Explainable AI (XAI)\u201d IJARCCE, Vol. 14, Issue 2, February 2025 DOI: 10.17148\/IJARCCE.2025.14211 Authors: Gurpreet Singh, Brahmleen Kaur, Satinder Kaur, Satveer Kour, Mehakdeep Kaur, Kumari Sarita Guru Nanak Dev University, Amritsar, India<\/p>\n

A Vision in Explainable AI (XAI) – Peer-reviewed Journal<\/a><\/p>\n

https:\/\/medium.com\/media\/7db1a0f6938a9aff8ee024bc3158fad0\/href<\/a><\/p>\n

Paper B\u200a\u2014\u200aThe arXiv Paper:<\/strong> \u201cSensorimotor Features of Self-Awareness in Multimodal Large Language Models\u201d arXiv:2505.19237, May 2025 Authors: Center for Automation and Robotics, CSIC-UPM, Madrid, Spain \/ University of Azuay, Cuenca,\u00a0Ecuador<\/p>\n

Sensorimotor features of self-awareness in multimodal large language models<\/a><\/p>\n

Both papers cited the same paper by me. Both omitted the same four additional papers. Both had access to a physical ISBN-registered book containing all five. The pattern is not a coincidence.<\/p>\n

What Was Available\u200a\u2014\u200aThe Complete Evidentiary Record<\/strong><\/p>\n

When Paper A was submitted in early 2025, and when Paper B was submitted in spring 2025, the following was publicly available and permanently on the\u00a0record:<\/p>\n

Five DOI-registered, editorially screened preprints on Preprints.org, all published November\u00a02024:<\/strong><\/p>\n

[1]<\/strong> Towards Self-Aware AI: Embodiment, Feedback Loops, and the Role of the Insula in Consciousness DOI: 10.20944\/preprints202411.0661.v1\u200a\u2014\u200athe paper both\u00a0cited<\/em><\/p>\n

[2]<\/strong> The Unified Model of Consciousness: Interface and Feedback Loop as the Core of Sentience DOI: 10.20944\/preprints202411.0727.v1\u200a\u2014\u200apublished November 7,\u00a02024<\/em><\/p>\n

[3]<\/strong> Simulating Self-Awareness: Dual Embodiment, Mirror Testing, and Emotional Feedback in AI Research DOI: 10.20944\/preprints202411.0839.v1<\/p>\n

[4]<\/strong> Advanced Predictive Modeling of Physical Trajectories and Cascading Events, Dual-State Feedback and Synthetic Insula DOI: 10.20944\/preprints202411.1025.v1<\/p>\n

[5]<\/strong> Self-Identification in AI: ChatGPT\u2019s Current Capability for Mirror Image Recognition DOI: 10.20944\/preprints202411.1112.v1<\/p>\n

And one physical, printed, ISBN-registered book containing all five\u00a0papers:<\/strong><\/p>\n

\u201cAI and Mirror Testing: Science Papers 2024: Synthetic Emotions and Self-Awareness in AI\u201d<\/em> Author: Berend F. Watchus ISBN: 9789465200927 Printed by: Printforce Nederland Published by: Brave New Books, Delftsestraat 33, 3013AE Rotterdam, The Netherlands Produced in compliance with EU GPSR guidelines<\/p>\n

The book is physically documented\u200a\u2014\u200afront cover, back cover, table of contents, publisher page, ISBN confirmation page, and full paper content including abstracts, references, and the November 7, 2024 publication date of the UMC paper visible in print. The book was produced, printed, and distributed before either citing paper was submitted.<\/p>\n

All five preprints are visible on the same Preprints.org author profile. One click from paper [1] shows papers [2] through [5]. The book is archived on Archive.org and documented across multiple platforms. There was nothing hidden. Everything was one scroll\u00a0away.<\/p>\n

What Both Papers Omitted and Why It\u00a0Matters<\/strong><\/p>\n

Both Paper A and Paper B made an identical selection decision: cite paper [1], omit papers [2], [3], [4], and [5], and omit the\u00a0book.<\/p>\n

This was not an oversight. Citation is not accidental. When researchers find a paper relevant enough to cite\u200a\u2014\u200arelevant enough to place alongside foundational names like Gallup (1970), Turing (1950), and Craig (2009) as Paper B did\u200a\u2014\u200athey find it through an author profile or a search. One scroll on my Preprints.org profile in early or mid-2025 showed all five papers simultaneously, published in the same weeks, clearly part of a single research program. The decision to cite one and omit four was a selection decision in both\u00a0cases.<\/p>\n

For Paper A\u200a\u2014\u200athe XAI\u00a0paper:<\/strong><\/p>\n

The XAI field exists to solve one problem: how do you make AI internal states visible and interpretable? The dominant post-hoc techniques the paper surveys\u200a\u2014\u200aLIME, SHAP, attention maps, surrogate models\u200a\u2014\u200aall work from the outside in. They retrofit interpretability onto systems that were designed without\u00a0it.<\/p>\n

My papers [2] and [4] approach the same problem from a more architecturally fundamental direction.<\/p>\n

The Unified Model of Consciousness (paper [2])<\/strong> proposes that sentience emerges from feedback loops and interfaces that are substrate-agnostic\u200a\u2014\u200aapplicable to any system, biological or artificial. By specifying what those loops are and how they produce integrated internal states, the paper provides a map of AI cognition that is readable in reverse. If you know the architecture that produces a coherent internal state, you can inspect that architecture directly. That is interpretability built in, not bolted\u00a0on.<\/p>\n

The Synthetic Insula paper (paper [4])<\/strong> is even more directly relevant. The biological insula is an integration hub\u200a\u2014\u200ait takes disparate internal signals and makes them coherent and legible to the broader system. Proposing an artificial equivalent means proposing a built-in interpretability organ for AI. The synthetic insula generates legible internal states as part of its normal function, making opacity structurally impossible at the architectural level.<\/p>\n

The argument is precise: XAI retrofits interpretability onto opaque systems from the outside. My UMC and Synthetic Insula papers propose architectures where interpretability is intrinsic. This is not tangentially related to XAI. It is a direct contribution to the same problem from a more fundamental direction\u200a\u2014\u200aand it was the only available source for that specific approach in the literature at the\u00a0time.<\/p>\n

For Paper B\u200a\u2014\u200athe arXiv\u00a0paper:<\/strong><\/p>\n

Paper B is about sensorimotor features of self-awareness in multimodal LLMs embedded in an omnidirectional robot, confirmed through 657 sensorimotor observations. This is the exact territory of my November 2024 papers\u200a\u2014\u200aspecifically papers [2], [3], and [4], which together specify the theoretical architecture, the experimental methodology, and the engineering implementation of precisely what Paper B tested empirically.<\/p>\n

Paper [2]\u200a\u2014\u200athe UMC\u200a\u2014\u200aprovides the substrate-agnostic framework: consciousness and self-awareness emerge from feedback loops and interfaces in any sufficiently complex system. Paper [3]\u200a\u2014\u200aDual Embodiment and Mirror Testing\u200a\u2014\u200aprovides the experimental methodology for testing self-awareness through physical and virtual embodiment, sensorimotor integration, and reflective feedback. Paper [4]\u200a\u2014\u200athe Synthetic Insula\u200a\u2014\u200aprovides the engineering specification for implementing the feedback mechanism artificially.<\/p>\n

Paper B confirmed empirically what papers [2], [3], and [4] had specified theoretically six months earlier. They cited [1]. They did not cite [2], [3], or [4]. The thematic overlap between what they omitted and what they confirmed is direct and documentable.<\/p>\n

The Uniqueness of the Framework\u200a\u2014\u200aWhy \u201cThey Might Not Have Known\u201d Does Not\u00a0Hold<\/strong><\/p>\n

This is not selective citation in a crowded field where similar ideas exist in multiple places. The specific combination present in my November 2024 stack did not exist anywhere else in the literature:<\/p>\n

Feedback loops and interfaces as the substrate-agnostic core mechanism of sentience\u200a\u2014\u200afor any entity with a body, biological or artificial. A synthetic insula as an architectural organ that generates legible internal states intrinsically. Mirror testing systematically adapted for AI across all variations\u200a\u2014\u200aphysical embodiment, virtual embodiment, emergent self-awareness, programmed recognition. A complete five-paper framework and a physical ISBN-registered book, all from one author, all published in the same weeks of November\u00a02024.<\/p>\n

There was nowhere else to look. Any researcher working in self-awareness, embodied AI, or AI interpretability in early to mid-2025 who encountered these concepts and did not find them in my papers faces a simple question: where did they come from? Because they were not in the prior literature.<\/p>\n

Both Paper A and Paper B found paper [1]. That means they found the author. That means they had access to the full stack. The omission of papers [2] through [5] and the book in both cases is a selection decision, not a gap in knowledge.<\/p>\n

The Downstream Record Confirms the Framework\u2019s Generative Power<\/strong><\/p>\n

What was one five-paper stack plus one book in November 2024 has since produced a documented chain of results that neither citing paper could have anticipated:<\/p>\n

October\u2013November 2025<\/strong>\u200a\u2014\u200aThe same theoretical framework served as the epistemic substrate for the Autonomous Knowledge Accelerator (AKA)\u200a\u2014\u200athe first documented system built by an independent researcher using commercial LLMs to produce validated scientific breakthroughs on demand across domains the researcher had never studied. Results of 200\u00d7, 3,700\u00d7, and 8,700\u00d7 efficiency improvements in post-quantum IoT security, each with fully transparent validation trails. All published, archived, and timestamped on System Weakness and Archive.org before a January 2026 Lossfunk Laboratory paper declared the autonomous AI scientist problem unsolved.<\/p>\n

March 2026<\/strong>\u200a\u2014\u200aThe UMC and Synthetic Insula papers provided the mechanism for dissolving Chalmers\u2019 hard problem of consciousness across a three-part published series. The anterior insula generates the centralized subjective experiencer Chalmers declared unlocatable\u200a\u2014\u200amechanically, documentably, as the output of a biological structure with a known location, a known mechanism, and a documented research literature. The dissolution was sent directly to David Chalmers at NYU. It is on the permanent public\u00a0record.<\/p>\n

A framework selectively cited in February and May 2025 went on to produce an autonomous inventor, dissolve a thirty-year open problem in philosophy of mind, and receive independent empirical confirmation from a Spanish national research institution. Both citing papers touched the edge of that framework and acknowledged one fifth of\u00a0it.<\/p>\n

What I Am\u00a0Asking<\/strong><\/p>\n

This article serves as a public correction of record and a formal citation request to the authors of both\u00a0papers.<\/p>\n

To the authors of Paper A<\/strong> (IJARCCE XAI paper, February 2025\u200a\u2014\u200aGurpreet Singh, Brahmleen Kaur, Satinder Kaur, Satveer Kour, Mehakdeep Kaur, Kumari\u00a0Sarita):<\/p>\n

Please consider adding the following to any updated version, correction, or subsequent publication building on the same material:<\/p>\n

[A]<\/strong> Watchus, B. (2024). The Unified Model of Consciousness: Interface and Feedback Loop as the Core of Sentience. Preprints.org.<\/p>\n

The Unified Model of Consciousness: Interface and Feedback Loop as the Core of Sentience<\/a><\/p>\n

[B]<\/strong> Watchus, B. (2024). Simulating Self-Awareness: Dual Embodiment, Mirror Testing, and Emotional Feedback in AI Research. Preprints.org.<\/p>\n

Simulating Self-Awareness: Dual Embodiment, Mirror Testing, and Emotional Feedback in AI Research<\/a><\/p>\n

[C]<\/strong> Watchus, B. (2024). Advanced Predictive Modeling of Physical Trajectories and Cascading Events, Dual-State Feedback and Synthetic Insula. Preprints.org.<\/p>\n

Advanced Predictive Modeling of Physical Trajectories and Cascading Events, Dual-State Feedback and Synthetic Insula<\/a><\/p>\n

[D]<\/strong> Watchus, B. (2024). Self-Identification in AI: ChatGPT\u2019s Current Capability for Mirror Image Recognition. Preprints.org.<\/p>\n

Self-Identification in AI: ChatGPT’s Current Capability for Mirror Image Recognition<\/a><\/p>\n

[E]<\/strong> Watchus, B.F. (2024). AI and Mirror Testing: Science Papers 2024\u200a\u2014\u200aSynthetic Emotions and Self-Awareness in AI. Brave New Books, Rotterdam. ISBN: 9789465200927.<\/p>\n

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To the authors of Paper B<\/strong> (arXiv:2505.19237\u200a\u2014\u200aCSIC-UPM Madrid \/ University of\u00a0Azuay):<\/p>\n

A formal citation correction request was previously submitted directly to the authors and to the arXiv platform. This article supplements that request. The papers that require citation alongside paper [1] are the same four listed above\u200a\u2014\u200aparticularly papers [A], [B], and [C], which together specify the theoretical, experimental, and engineering architecture that Paper B confirmed empirically.<\/p>\n

The Pattern<\/strong><\/p>\n

Two papers. Two institutions. One from India in February 2025. One from Spain and Ecuador in May 2025. Both found the same paper. Both omitted the same four papers. Both had access to an ISBN-registered physical book containing all five. The selection decision is identical in each case and cannot be attributed to ignorance, oversight, or limited\u00a0access.<\/p>\n

The record is timestamped, DOI-verified, ISBN-registered, archived on Archive.org, photographically documented in the physical book, and permanently accessible. A formal citation correction request is on file for Paper B. This article now enters the record for\u00a0both.<\/p>\n

The timestamps do not negotiate.<\/p>\n

Berend F. Watchus<\/em> Independent AI & Cybersecurity Researcher (Non-Profit)<\/em> Arnhem Area, Netherlands<\/em> April\u00a02026<\/em><\/p>\n

medium.com\/@BerendWatchusIndependent<\/em> sciprofiles.com\/profile\/3999125<\/em><\/p>\n

Primary references:<\/em> [1] DOI: 10.20944\/preprints202411.0661.v1<\/em> [2] DOI: 10.20944\/preprints202411.0727.v1<\/em> [3] DOI: 10.20944\/preprints202411.0839.v1<\/em> [4] DOI: 10.20944\/preprints202411.1025.v1<\/em> [5] DOI: 10.20944\/preprints202411.1112.v1<\/em> [6] ISBN: 9789465200927<\/em> [7] IJARCCE DOI: 10.17148\/IJARCCE.2025.14211<\/em> [8] arXiv:2505.19237<\/em> [9] Book archive: <\/em>https:\/\/archive.org\/details\/@berend233<\/em><\/a><\/p>\n

see also<\/p>\n