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Paper Citation Record · LEDGER

ChaosProbe: A Neurochaotic Lens on Frozen Transformer Input-Embedding Spaces

As of 22 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2608.01968.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2608.01968 v1

Coverage vector

measured 23 of 23 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-04T17:41:17.470467Z

measured 23 of 23 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

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23 of 23 outbound references displayed

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Outbound references

Observation c1c53ae3-6d95-4deb-baa3-d2e0cd720b48 · outbound

This paper cites The 2026 AI in- dex report.

ChaosProbe: A Neurochaotic Lens on Frozen Transformer Input-Embedding Spaces The 2026 AI in- dex report

Reference 1

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Observation a61d4c5b-5045-43ba-af39-ddbd3b31dbb6 · outbound

This paper cites How people are using ChatGPT, sep 2025.

ChaosProbe: A Neurochaotic Lens on Frozen Transformer Input-Embedding Spaces How people are using ChatGPT, sep 2025

Reference 2

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Observation 64465d0b-00df-4167-a209-cfde64a36df0 · outbound

This paper cites Attention is all you need.Advances in neural information processing systems, 30, 2017.

ChaosProbe: A Neurochaotic Lens on Frozen Transformer Input-Embedding Spaces Attention is all you need.Advances in neural information processing systems, 30, 2017

Reference 3

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Observation 25ffcc32-2d9c-4a8c-9bea-8e38c9e9b112 · outbound

This paper cites Lan- guage models are unsupervised multitask learners.

ChaosProbe: A Neurochaotic Lens on Frozen Transformer Input-Embedding Spaces Lan- guage models are unsupervised multitask learners

Reference 4

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Observation bb85ef0b-b906-4508-a1df-f1ba08a2362b · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understand- ing.

ChaosProbe: A Neurochaotic Lens on Frozen Transformer Input-Embedding Spaces Bert: Pre-training of deep bidirectional transformers for language understand- ing

Reference 5

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Observation b192f4c9-ddfc-46e0-a92e-82071ae4ef40 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

ChaosProbe: A Neurochaotic Lens on Frozen Transformer Input-Embedding Spaces RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 6

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Observation 2bc8b5a8-fbe3-428e-974a-effec30fd34c · outbound

This paper cites Efficient Estimation of Word Representations in Vector Space.

ChaosProbe: A Neurochaotic Lens on Frozen Transformer Input-Embedding Spaces Efficient Estimation of Word Representations in Vector Space

Reference 7

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Observation e8c489b3-cdb2-433c-b8c1-b8c189936015 · outbound

This paper cites Glove: Global vectors for word representation.

ChaosProbe: A Neurochaotic Lens on Frozen Transformer Input-Embedding Spaces Glove: Global vectors for word representation

Reference 8

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Observation a3b02c52-8b58-487f-8fd0-5370dbf6c887 · outbound

This paper cites Representation Degeneration Problem in Training Natural Language Generation Models.

ChaosProbe: A Neurochaotic Lens on Frozen Transformer Input-Embedding Spaces Representation Degeneration Problem in Training Natural Language Generation Models

Reference 9

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Observation fcd44bc8-fd93-4338-8186-0dbbfc57d664 · outbound

This paper cites Too much in common: Shifting of embeddings in transformer language models and its implications.

ChaosProbe: A Neurochaotic Lens on Frozen Transformer Input-Embedding Spaces Too much in common: Shifting of embeddings in transformer language models and its implications

Reference 10

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Observation c6f901e2-4078-4d51-b810-773bca4c047b · outbound

This paper cites How contextual are contex- tualized word representations? comparing the ge- ometry of bert, elmo, and gpt-2 embeddings.

ChaosProbe: A Neurochaotic Lens on Frozen Transformer Input-Embedding Spaces How contextual are contex- tualized word representations? comparing the ge- ometry of bert, elmo, and gpt-2 embeddings

Reference 11

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Observation 6509c129-27a8-4fd8-aa75-8378ce74ba6e · outbound

This paper cites Similarity of neural network representations revisited.

ChaosProbe: A Neurochaotic Lens on Frozen Transformer Input-Embedding Spaces Similarity of neural network representations revisited

Reference 12

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source=pdf_text observed=2026-08-04T17:41:17.436758Z digest=sha256:2a7e7529d6f9073b5a7c48e47e9f65c7dbf3df32bb42869a5e190eb9d2a66e30

Observation 8d40ed66-b917-4dd7-800c-3e738dedc591 · outbound

This paper cites Isoscore: Measuring the unifor- mity of embedding space utilization.

ChaosProbe: A Neurochaotic Lens on Frozen Transformer Input-Embedding Spaces Isoscore: Measuring the unifor- mity of embedding space utilization

Reference 13

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Observation e1961ceb-ae0e-4730-b831-a060e141a500 · outbound

This paper cites Probing classifiers: Promises, shortcomings, and advances.Computational Lin- guistics, 48(1):207–219, 2022.

ChaosProbe: A Neurochaotic Lens on Frozen Transformer Input-Embedding Spaces Probing classifiers: Promises, shortcomings, and advances.Computational Lin- guistics, 48(1):207–219, 2022

Reference 14

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Observation 664e316a-d7dd-46cb-89dc-0a40260e8b15 · outbound

This paper cites Neurochaos inspired hybrid machine learning architecture for classification.

ChaosProbe: A Neurochaotic Lens on Frozen Transformer Input-Embedding Spaces Neurochaos inspired hybrid machine learning architecture for classification

Reference 15

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source=pdf_text observed=2026-08-04T17:41:17.446509Z digest=sha256:75731088156ab4f1dc4b8df7ac298ab8622b7085a97222d4cdb6dbcc0534ba9e

Observation 5f49beb5-acc0-429c-b38d-63570014c6fc · outbound

This paper cites Causality preserving chaotic transformation and classification using neurochaos learning.Ad- vances in Neural Information Processing Systems, 35:2046–2058, 2022.

ChaosProbe: A Neurochaotic Lens on Frozen Transformer Input-Embedding Spaces Causality preserving chaotic transformation and classification using neurochaos learning.Ad- vances in Neural Information Processing Systems, 35:2046–2058, 2022

Reference 16

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Observation 465b5306-24c7-47dc-b319-ba8c34f704fa · outbound

This paper cites Classification of sars-cov-2 viral genome sequences using neurochaos learning.Medical & Biological Engineering & Computing, 60(8):2245–2255, 2022.

ChaosProbe: A Neurochaotic Lens on Frozen Transformer Input-Embedding Spaces Classification of sars-cov-2 viral genome sequences using neurochaos learning.Medical & Biological Engineering & Computing, 60(8):2245–2255, 2022

Reference 17

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Observation 069f0eee-647b-437e-826c-e17ca65fc1dd · outbound

This paper cites Ad- vancing forest fires classification using neurochaos learning.arXiv preprint arXiv:2510.26383, 2025.

ChaosProbe: A Neurochaotic Lens on Frozen Transformer Input-Embedding Spaces Ad- vancing forest fires classification using neurochaos learning.arXiv preprint arXiv:2510.26383, 2025

Reference 18

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Observation 73e44d8d-c2f9-492d-a8f1-52eee9f4463c · outbound

This paper cites Hypothetical protein classification using neurochaos learning ar- chitecture.

ChaosProbe: A Neurochaotic Lens on Frozen Transformer Input-Embedding Spaces Hypothetical protein classification using neurochaos learning ar- chitecture

Reference 19

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Observation 9fd53f53-2099-46a3-9682-4319a2ec9f54 · outbound

This paper cites Biologically inspired chaosnet architecture for hypothetical protein clas- sification.

ChaosProbe: A Neurochaotic Lens on Frozen Transformer Input-Embedding Spaces Biologically inspired chaosnet architecture for hypothetical protein clas- sification

Reference 20

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Observation 7469150b-04fe-44ca-9372-dc4dd18109ce · outbound

This paper cites Neurochaos feature transformation for machine learning.Inte- gration, 90:157–162, 2023.

ChaosProbe: A Neurochaotic Lens on Frozen Transformer Input-Embedding Spaces Neurochaos feature transformation for machine learning.Inte- gration, 90:157–162, 2023

Reference 21

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Observation 1f35866b-6d8c-45d5-bed7-cafa65692ae6 · outbound

This paper cites The effective rank: A measure of effective dimensionality.

ChaosProbe: A Neurochaotic Lens on Frozen Transformer Input-Embedding Spaces The effective rank: A measure of effective dimensionality

Reference 22

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Observation adc334ef-d868-4953-9512-dec4343aef1b · outbound

This paper cites distilgpt2 model card.

ChaosProbe: A Neurochaotic Lens on Frozen Transformer Input-Embedding Spaces distilgpt2 model card

Reference 23

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Pith citing papers

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