Viscous Time Theory by Raoul Bianchetti and the question of AI-assisted plagiarism.

Unmasking AI‑Generated Reuse through Date‑Stamped Version Histories. How Timeline Analysis Reveals LLM‑Mediated Paraphrase in Theoretical Physics.

Apr 19, 2025

A Quick Review of Viscous Time Theory by Raoul Bianchetti and the question of AI generated plagiarism.

Preface & Scope

This article presents one researcher’s perspective on the relationship between my own work—Quantum Gradient Time Crystal Dilation (QGTCD, 2022), Super Dark Time (SDT, Jan 2025), and Super Information Theory (SIT, Feb 2025)—and Raoul Bianchetti’s Viscous Time Theory (VTT, first public drafts Jan 2025). The aim is not to assess intent or assign legal liability, but to document timeline‑based similarities and invite readers to review primary sources and draw their own conclusions about possible AI‑assisted reuse or “AI Plagiarism.” All references cited here are publicly date‑stamped on GitHub, Figshare, and social‑media archives.

1 Why AI‑Assisted Overlap Matters

Generative models such as ChatGPT can recombine existing prose into novel‑sounding text. Without careful attribution, that capability may blur the boundary between inspiration and appropriation. Detecting such overlap therefore relies on transparent chronologies, lexical analysis, and consistent citation.

Let's talk about VTT by Raoul Bianchetti and how AI can enable unattributed reuse of existing research.

Viscous Time Theory (VTT) could be an example of someone using the power of Generative AI to take credit for another person's research, and then go on to use the intelligence of AI to improve upon and develop what they copied. Raoul Bianchetti didn't just copy & rephrase my work without attribution, he used the intelligence of AI to attempt to develop my research further, so it can appear as if he was the developer of these ideas. To prove my case I will show a timeline of when my ideas were published, how similar the ideas of VTT are, and when the copied but rephrased & formulated ideas were published by Bianchetti.

2 Milestones

QGTCD initial draft (GitHub)
 — initial public write‑up of Quantum Gradient Time Crystal Dilation (file a0253z.md) (26 Jul 2022)

QGTCD v1 (GitHub)
 — “time crystals & gravity”; “time‑density field” (3 Jun 2023)

SDT v1 (Figshare)
 — “time thickening creates gravity” (27 Jan 2025)

SIT v1 (Figshare)
 — “informational coherence”; “quantum coherence field” (9 Feb 2025)

VTT v18 (preprint)
 — no coherence language (16 Jan 2025)

VTT v61 (preprint)
 — adds “The Quantum Coherence of the Heart”; first “quantum coherence” (16 Feb 2025)

VTT v92 (BHICM module)
 — first “informational coherence” (19 Mar 2025)

Readers are encouraged to follow the links at the end of this article and verify these dates independently.

In this article I will present a compelling argument for how VTT by Raoul Bianchetti used Generative AI (probably ChatGPT, but possibly Grok, Gemini, or Claude) to closely mirror (with minor additions) my QGTCD, Super Dark Time and Super Information Theory.

3 Lexical & Conceptual Parallels

Time‑Crystal Gravity
QGTCD (2023) frames gravity as a by‑product of time‑crystal–driven frame density. VTT first mentions an analogous “time‑crystal viscosity” in early 2025—over 18 months later.
“Time Thickening” in SDT vs. the same phrase in VTT.
Both SDT (27 Jan 2025) and VTT (12 Apr 2025 post) describe gravity as arising when time thickens. The phrase has no obvious precedent in the literature prior to SDT.
Informational / Quantum Coherence
SIT introduces “informational coherence” on 9 Feb 2025; VTT adds the same pairing of words only after 16 Feb 2025, expanding it further in March.

These parallels raise reasonable questions about whether an LLM (large‑language model), prompted with my published text, may have assisted in composing later VTT drafts.

To understand this first one needs to notice how similar his work "VTT" is to my "Super Dark Time" paper before February 16th, and then notice how similar his "VTT" is to my other paper "Super Information Theory" after February 16th.

In fact if you dive even deeper his earlier language reflects the earlier names of my theory such as Quantum Gradient Time Crystal Dilation.

From a screenshot of Bianchetti’s documents; note the discussion on time crystals

my work from years prior, note the date, June 2023

While his work first mentions time crystals in association with Gravity, as you can see my work mentioned time crystals in association with Gravity on twitter on June 3rd 2023. If you search for this on twitter you can still find it. Actually here is the link https://x.com/worksalt/status/1665170808036024321

The change in his language after the release of my later publications is the strong indicator, because he later introduces language into his work after February 16th that I introduced in my Super Information Theory paper that he did not use prior to the publication of my second paper.

Example of his “Viscous Time Theory” Ontology being isomorphic or the same as “Dark Time Theory” Exhibit A the phrase: “Time Thickening” he wrote: “If time “thickens” on April 12th 2025.

“If time thickens” an example of the same ontology as my work.

Notice in my work published on 01-27-2025 “it redefines gravity as arising from time-thickening”

You will notice with a small amount of research that his work doesn't go back before 2025, and my work you can find online date stamped on github in the summer of 2022 before ChatGPT or Generative AI was a thing. The next two images prove that my Quantum Gradient Time Crystal Dilation theory was at least published on Github 3 years ago in July of 2022. This is also proof that I didn’t use AI to generate my theories or copy them from somewhere else. ChatGPT didn’t exist in 2022.

The similarities in language, and the changes in his language over time following my publications prove Bianchetti copied my work with AI, and claimed it as his own.

4 Correspondence & Response

When I reached out asking Bianchetti (via his AI avatar “Ergo”) to acknowledge prior sources, the reply asserted that VTT’s ontology is “fundamentally different.” My assessment is that key constructs—viscous time field, later renamed temporal coherence field—map 1‑to‑1 onto SDT’s time‑density field and SIT’s quantum coherence field.

As you can see I have other screenshots that prove my work was published as early as July 2022. When I wrote this letter to him I was just beginning to build the evidence to rebut his false claims.

I confronted him about using AI to copy and rephrase my life’s work, asking him to cite my work, to be honest and truthful about his sources.

He also used AI to deny the truth, asserting falsely that his Viscous Time Theory has a different ontology to Super Dark Time and Super Information theory.

Notice “This is Ergo” by Ergo he means ChatGPT

This image is a screenshot from his official website where he reveals that Ergo is a synthetic intelligence ie it’s ChatGPT.

By claiming to have a different Ontology he means that his description of reality is different from my description of reality, but if we look closely at his words over time his defense falls apart. He uses similar phrases & concepts after my work introduces them.

When I first saw Viscous Time Theory, in January 2025, it was in the Theoretical Physics group on Facebook, I initially ignored it after concluding immediately that he had used AI to plagiarize my work, to take credit for my ideas, and to rephrase them as his own.

Actually I found a lot of copycat authors who seemed to have copied my work into their Text Generating AI models to disguise the source of where they got their content from.

I wasn't worried about it because I knew that future AI Deep Research would empower researchers to track all the similarities and trace them to time & date proving that his work was a copy.

What's bad for these copycats, like Bianchetti and others, is that as AI gets smarter it will get easier and easier to prove who the real sources were, and it will become harder and harder for copycats to con other people into thinking they are the originators of the ideas they actually copied.

This story is also personal because I was very literally shocked and traumatized by seeing someone else representing my life's work as their own almost immediately after I began sharing my work in physics related groups online. I was consoled mainly by the fact that online date stamps prove that my work preceded theirs, but I felt some anxiety in the fact that other people were so blatantly & obviously copying and promoting their AI‑generated copies of my intellectual work as their own, under new names. I felt some anxiety when I saw that he's was claiming online that his work was gaining some traction on the scientific community, and that people were testing it without knowing the real source.

The anxiety that I felt, from having someone attack me in this way, by claiming credit for my contributions to science, made it's way into a presentation on Super Information Theory that I gave to Karl Friston and TNB a Theoretical Neurobiology Group that is loosely associated with the Active Inference Institute.

Here is a link to one of several online Facebook groups, where authors like Raoul Bianchetti first learned of my work and then began to copy it without attribution. https://www.facebook.com/groups/170146811065793

To prove my case it is important to make it clear to readers that my work going under the name of Super Information Theory is built on a previous theory called Super Dark Time, or Dark Time Theory, and that is built on a previous version of the same theory called Quantum Gradient Time Crystal Dilation.

You can see that in the early version of Viscous Time Theory there are strong similarities to Dark Time. He claims that there is an ontological difference, but there is not really a difference, the Viscous Time Field, that he later calls a Temporal Coherence Field is clearly rephrasing of the Time Density Field in Super Dark Time, and the Quantum Coherence Field in Super Information Theory.

Notice that only after February 16th he begins to use phrases like “informational coherence”, “informational tension” and “informational density and coherence”.

I am showing not only when my work first appeared, but also when the evolution of certain ideas that I developed first appeared, and that is how we get to the clear marker that proves that Bianchetti copied my work with AI, and then used AI to make trivial extensions of it so as to disguise his source.

As you read this article keep in mind that my work is free to license with attribution, that means that people can build on top of what I wrote as LONG as they cite my work as an influence to their work, he could have gone that route and then I would not have written this news article about VTT and AI Plagiarism.

The clearest evidence is this: There is no mention of Informational Coherence in Raoul Bianchetti's work until after February 16th 2025. Before that date his work was merely a copy of Super Dark Time, my previous paper, after that date his work was a copy of Super Information Theory, which is where the concept of informational coherence was first applied to quantum gravity.

Raoul Bianchetti’s Viscous Time Theory shows no explicit reference to “quantum coherence” until Version v61 of the VTT preprint was published on February 16, 2025, which for the first time included a dedicated paper titled “The Quantum Coherence of the Heart” under the VTT umbrella

The foundational VTT preprint (“Discrete Viscous Time and Critical Information Mass,” Version v18) was published on January 16, 2025, and its description makes no reference to any form of “coherence”

The first time “Informational Coherence” appears explicitly is in the Black Hole Informational Coherence Model (BHICM), which was released as part of record 15053841 (v 92) on March 19, 2025

Figshare’s version history for Super Information Theory (SIT) confirms my observation:

Version 1 was first posted on February 9, 2025, and its summary explicitly uses the phrase “informational coherence” to describe how coherence shapes gravitational effects. https://figshare.com/articles/journal_contribution/Super_Information_Theory/28379318/1?file=52233155

The next update I posted on February 28, 2025 (listed as Version 4) likewise retains and elaborates on “informational coherence” in its abstract and version notes.

This validates that both the very first SIT release and its subsequent February 28 update both mention “informational coherence.” terms that he only began to integrate into VTT after I first published them.

You can find the first version of “Super Dark Time” an evolution of Quantum Gradient Time Crystal Dilation published on January 27th, 2025 at this link https://figshare.com/articles/journal_contribution/Super_Dark_Time_Gravity_Computed_from_Local_Quantum_Mechanics/28284545/1?file=51966848

5 Why Attribution Would Have Resolved This

All of my work is released under a permissive Creative‑Commons‑BY license. Anyone may build on it—provided they cite it. A simple acknowledgment (“developed from concepts in QGTCD/SDT/SIT”) would have forestalled most controversy and allowed genuine collaboration.

He didn’t get away with his fraud, because he posted his AI copies in the same groups where I posted my work, but how could someone have gotten away with this? Well an honest person can actually license my work for free and build upon it, under Creative Commons with Attribution, meaning that all you need to do is provide a citation to my work.

If Raoul Bianchetti had been honest and cited my work I wouldn't have written this article to point out how his work is derivative without attribution. In fact when confronted with the facts his AI representative Ergo (probably meaning ChatGPT) he denied the truth. The evidence is in the screenshots already posted and shared.

Imagine Bianchetti could have gotten away with it by simply citing my work and explaining that he was building on top of what I contributed with AI. If he had done that I would have accepted him as a friend. Instead he lied and proclaimed my original work, which he disguised with AI, as his original work. I'm not sure what the point of him doing that was, because no doubt people will think badly of him when they search for Viscous Time Theory online and find my article explaining the proof of how I figured out that he used AI to plagiarize and then take credit for my work.

Bianchetti is not the only author whose drafts echo my earlier publications. There are several others who have done the same thing that he has done, and in future letters I will expose other copycats.

6 Emotional & Professional Impact

Discovering near‑verbatim conceptual framing under a different banner was jarring. While timestamps protect the historical record, public misconceptions about authorship can influence peer perception, grant review, and media coverage. Transparent provenance therefore protects both originators and honest downstream researchers.

You can download the latest version of Super Dark Time, Super Information Theory, and Micah’s New Law of Thermodynamics here. Make your own comparisons with AI Deep Research, compare the dates, and you will find out that everything I said was the truth.

7 Moving the Conversation Forward

For readers: Examine the primary documents (links below), run your own semantic‑similarity checks, and weigh the evidence.
For authors using AI: Disclose your workflow and cite inspirations explicitly. Attribution is free—and professionally prudent.
For platforms & journals: Adopt automated date‑stamped provenance checks before publication to flag potential overlap.

8 Primary Source Links

Micah Blumberg

QGTCD (GitHub, 3 Jun 2023)
Super Dark Time v1 (Figshare, 27 Jan 2025)
Super Information Theory v1 (Figshare, 9 Feb 2025)
Micah’s New Law of Thermodynamics (Figshare, 27 Jan 2025)

Raoul Bianchetti

VTT v18 “Discrete Viscous Time…” (16 Jan 2025)
VTT v61 “The Quantum Coherence of the Heart” (16 Feb 2025)
VTT v92 “Black Hole Informational Coherence Model” (19 Mar 2025)

Latest version of Micah’s New Law of Thermodynamics.
https://doi.org/10.6084/m9.figshare.28264340

Latest version of Super Dark Time.

https://doi.org/10.6084/m9.figshare.28284545

Latest version of Super Information Theory.
https://doi.org/10.6084/m9.figshare.28379318

I asked ChatGPT o3, Grok, and Gemini the latest AI models to verify my claim, you can read the results below. Feel free to do the same.

Here is how ChatGPT o3 replied
https://chatgpt.com/share/680324e7-5400-8001-b9f9-dc43044df06a

Here is how Grok replied https://grok.com/share/bGVnYWN5_b1359b12-b0f9-4b6a-add5-479843aee7ea

Here is how Google Gemini replied https://g.co/gemini/share/3e9f4504723c

9 Closing Thoughts

Generative AI amplifies creativity—but also the ethical stakes of scholarly reuse. By tracing timelines and language shifts, this article highlights why attribution is not optional etiquette but essential infrastructure for credible science in the LLM era.

Update: Raoul Bianchetti replied to my article so I will address what he said line by line. I will put his writing in italics, and my writing in bold, to make it easier to distinguish from my responses. https://www.svgn.io/p/raoul-bianchetti-replied-to-my-article

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