Paper Citation Record · LEDGER

Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning

As of 23 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 2 inbound Pith citation observations for arXiv:2501.04591.

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

pith.paper-citation-record.v1
2501.04591 v1

Coverage vector

measured 65 of 65 reference resolution

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measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: arxiv_reference, observed 2026-05-11T08:20:57.677665Z

Reference resolution

65 of 65 outbound references displayed

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External citation measurements

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Outbound references

Observation 7ae7fc46-4131-41bb-a57a-590f3182eaa3 · outbound

This paper cites WIREs Computational Statistics 2(4):433--459.

Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning WIREs Computational Statistics 2(4):433--459

Reference 1

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This paper cites In: Van den Bussche J, Vianu V (eds) Database Theory --- ICDT 2001.

Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning In: Van den Bussche J, Vianu V (eds) Database Theory --- ICDT 2001

Reference 2

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This paper cites Quantum Large Language Models via Tensor Network Disentanglers.

Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning Quantum Large Language Models via Tensor Network Disentanglers

Reference 3

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This paper cites In: 2013 International Conference on Signal Processing , Image Processing & Pattern Recognition, pp 62--65, doi:10.1109/ICSIPR.2013.6497959.

Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning In: 2013 International Conference on Signal Processing , Image Processing & Pattern Recognition, pp 62--65, doi:10.1109/ICSIPR.2013.6497959

Reference 4

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This paper cites MS MARCO: A Human Generated MAchine Reading COmprehension Dataset.

Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning MS MARCO: A Human Generated MAchine Reading COmprehension Dataset

Reference 5

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This paper cites IEEE Trans Pattern Anal Mach Intell 35(8):1798–1828.

Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning IEEE Trans Pattern Anal Mach Intell 35(8):1798–1828

Reference 6

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This paper cites Dimensionality Reduction in Sentence Transformer Vector Databases with Fast Fourier Transform.

Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning Dimensionality Reduction in Sentence Transformer Vector Databases with Fast Fourier Transform

Reference 7

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This paper cites Expert Systems with Applications 214:119103.

Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning Expert Systems with Applications 214:119103

Reference 8

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This paper cites https://api.repository.cam.ac.uk/server/api/core/bitstreams/b64f85c7-9cf2-4f9e-a766-112233bc71f6/content, accessed: 2024-08-30.

Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning https://api.repository.cam.ac.uk/server/api/core/bitstreams/b64f85c7-9cf2-4f9e-a766-112233bc71f6/content, accessed: 2024-08-30

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This paper cites ://arxiv.org/abs/2406.00132, 2406.00132.

Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning ://arxiv.org/abs/2406.00132, 2406.00132

Reference 10

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This paper cites Improving Contrastive Learning of Sentence Embeddings from AI Feedback.

Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning Improving Contrastive Learning of Sentence Embeddings from AI Feedback

Reference 11

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This paper cites DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings.

Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings

Reference 12

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This paper cites Overview of the TREC 2019 deep learning track.

Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning Overview of the TREC 2019 deep learning track

Reference 13

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Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning Overview of the TREC 2020 deep learning track

Reference 14

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This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 15

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This paper cites SimCSE: Simple Contrastive Learning of Sentence Embeddings.

Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning SimCSE: Simple Contrastive Learning of Sentence Embeddings

Reference 16

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This paper cites In: Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining.

Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning In: Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

Reference 17

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This paper cites Exploring Dimensionality Reduction Techniques in Multilingual Transformers.

Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning Exploring Dimensionality Reduction Techniques in Multilingual Transformers

Reference 18

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Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning Poly-encoders: Transformer Architectures and Pre-training Strategies for Fast and Accurate Multi-sentence Scoring

Reference 19

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This paper cites Quantum-Inspired Machine Learning: a Survey.

Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning Quantum-Inspired Machine Learning: a Survey

Reference 20

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This paper cites Phys Rev A 93:032318.

Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning Phys Rev A 93:032318

Reference 21

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Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning Scaling Sentence Embeddings with Large Language Models

Reference 22

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This paper cites In: Raman I, Ganesan P, Sureshkumar V, et al (eds) Computational Intelligence, Cyber Security and Computational Models.

Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning In: Raman I, Ganesan P, Sureshkumar V, et al (eds) Computational Intelligence, Cyber Security and Computational Models

Reference 23

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Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning Autoencoding Improves Pre-trained Word Embeddings

Reference 24

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This paper cites In: 2024 9th International Conference on Computer and Communication Systems (ICCCS), pp 333--340, doi:10.1109/ICCCS61882.2024.10603291.

Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning In: 2024 9th International Conference on Computer and Communication Systems (ICCCS), pp 333--340, doi:10.1109/ICCCS61882.2024.10603291

Reference 25

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Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning IEEE Access 8:193907--193934

Reference 26

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Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning doi:10.1007/978-3-642-35289-8_3, ://doi.org/10.1007/978-3-642-35289-8_3

Reference 27

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This paper cites Proceedings of the AAAI Conference on Artificial Intelligence 35(15):13270--13278.

Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning Proceedings of the AAAI Conference on Artificial Intelligence 35(15):13270--13278

Reference 28

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Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning In: 2017 International Conference on Computing, Engineering, and Design (ICCED), pp 1--4, doi:10.1109/CED.2017.8308126

Reference 29

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Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning Quantum 4:340

Reference 30

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Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning Efficient Estimation of Word Representations in Vector Space

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This paper cites Dept Comput Sci, Univ Exeter, Exeter, UK ://www.researchgate.net/publication/2274710_Quantum-Inspired_Computing.

Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning Dept Comput Sci, Univ Exeter, Exeter, UK ://www.researchgate.net/publication/2274710_Quantum-Inspired_Computing

Reference 32

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This paper cites https://platform.openai.com/docs/guides/embeddings, [Accessed 12-12-2024].

Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning https://platform.openai.com/docs/guides/embeddings, [Accessed 12-12-2024]

Reference 33

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Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning word2ket: Space-efficient Word Embeddings inspired by Quantum Entanglement

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Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning In: Moschitti A, Pang B, Daelemans W (eds) Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing ( EMNLP )

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Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning Deep contextualized word representations

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Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning preprint ://cdn.openai.com/research-covers/language-unsupervised/language_understanding_paper.pdf

Reference 37

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Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 38

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Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning The Curse of Dense Low-Dimensional Information Retrieval for Large Index Sizes

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Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning AVS Quantum Science 5(4)

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Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning o lkopf B, Smola A, M\

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Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning https://sbert.net/datasets, accessed: 2024-08-28

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Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning CompactifAI: Extreme Compression of Large Language Models using Quantum-Inspired Tensor Networks

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Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning Attention Is All You Need

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Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning On the Dimensionality of Sentence Embeddings

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Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning Word Embedding Dimension Reduction via Weakly-Supervised Feature Selection

Reference 46

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This paper cites arXiv preprint arXiv:240311391.

Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning arXiv preprint arXiv:240311391

Reference 47

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This paper cites International Journal of Computational Intelligence Systems 17.

Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning International Journal of Computational Intelligence Systems 17

Reference 48

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Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning Evaluating Unsupervised Dimensionality Reduction Methods for Pretrained Sentence Embeddings

Reference 50

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Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning Proceedings of the AAAI Conference on Artificial Intelligence 32(1)

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 62ced8b6-d3be-47fd-8e5c-f1fa5f96fb6f · outbound

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Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning Theoretical Computer Science 752:21--40

Reference 52

Resolution: verified exact; doi, observed 2026-08-10T21:35:35.031302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 86c86f53-675d-4ce5-a845-7b782c2c4400 · outbound

This paper cites Applied Intelligence 49:3093--3108.

Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning Applied Intelligence 49:3093--3108

Reference 53

Resolution: verified exact; doi, observed 2026-08-10T21:35:35.018509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1f9e4ca8-7020-4ee0-8e09-63d387a70910 · outbound

This paper cites Compressing Sentence Representation for Semantic Retrieval via Homomorphic Projective Distillation.

Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning Compressing Sentence Representation for Semantic Retrieval via Homomorphic Projective Distillation

Reference 54

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bcce40ba-26d5-45ba-80c0-e09cbeda43f6 · outbound

This paper cites write newline.

Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning write newline

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-10T21:35:34.937283Z

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Unavailable: canonical work link unavailable.

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Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning , " * write output.state after.block = add.period write newline

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-10T21:35:34.941644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4fa57ec8-ccb7-4d70-8ed0-94b352e91b97 · outbound

This paper cites write newline.

Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning write newline

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-10T21:35:34.945826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc5c875c-c94d-4bcb-9664-9c90af847255 · outbound

This paper cites , " * write output.state after.block = add.period write newline.

Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning , " * write output.state after.block = add.period write newline

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-10T21:35:34.950116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1253b994-1c7e-42a6-8e17-bf337cc6c39e · outbound

This paper cites write newline.

Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning write newline

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-10T21:35:34.953702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb81884c-b49d-484e-923d-764cd2b44e4b · outbound

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Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning write newline

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-10T21:35:34.957417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a344356c-3752-4a2c-aa2f-4104b6bdc869 · outbound

This paper cites write newline.

Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning write newline

Reference 61

Resolution: malformed identifier; no resolver link, observed 2026-08-10T21:35:34.960896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ecde7fb0-8b91-49dd-8009-e67b80799245 · outbound

This paper cites write newline.

Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning write newline

Reference 62

Resolution: malformed identifier; no resolver link, observed 2026-08-10T21:35:34.965083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f4c0a16-e9db-4291-86c8-bc494297c8b6 · outbound

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Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning , " * write output.state after.block = add.period write newline

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-10T21:35:34.969260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f55473aa-ed1e-42ff-9eef-cb1eaa6bf8d5 · outbound

This paper cites write newline.

Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning write newline

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-10T21:35:34.973390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b475e4f-c282-458a-90cd-8ee258b17e14 · outbound

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Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning Available from:

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-10T21:35:34.977902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a415138c-860c-48a1-97cf-08b2d2afdae1 · outbound

This paper cites write newline.

Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning write newline

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-10T21:35:34.981760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 9b38c2cc-f808-4139-acfd-3bc16f846b3f · inbound

Boosting Classification with Quantum-Inspired Augmentations cites this paper.

Boosting Classification with Quantum-Inspired Augmentations Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T22:12:00.792237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62160c86-d308-4072-9fc7-90fa88997a37 · inbound

On the Representational Limits of Quantum-Inspired 1024-D Document Embeddings: An Experimental Evaluation Framework cites this paper.

On the Representational Limits of Quantum-Inspired 1024-D Document Embeddings: An Experimental Evaluation Framework Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:20:57.680595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.