Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning | Paper Citation Record

Observation a0e18a5c-3263-46a9-8fad-ed2322484323 · outbound

This paper cites SineProject: Machine Unlearning for Stable Vision-Language Alignment , booktitle=.

Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning SineProject: Machine Unlearning for Stable Vision-Language Alignment , booktitle=

Reference 1

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Observation 8fc011d3-934f-4842-8ead-8827f1675b44 · outbound

This paper cites The Invisible Hand of Physics: When Video Diffusion Models Know More Than They Show.

Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning The Invisible Hand of Physics: When Video Diffusion Models Know More Than They Show

Reference 2

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This paper cites doi:10.5281/zenodo.3828935 , author=.

Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning doi:10.5281/zenodo.3828935 , author=

Reference 3

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Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning , editor=

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Reference 5

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This paper cites Contractive Auto-Encoders: Explicit Invariance During Feature Extraction , url=.

Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning Contractive Auto-Encoders: Explicit Invariance During Feature Extraction , url=

Reference 7

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This paper cites and Paiva, Ana , year=.

Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning and Paiva, Ana , year=

Reference 8

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This paper cites Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere , volume=.

Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere , volume=

Reference 10

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Observation a19fdb25-e0b0-4f49-8aea-e580aeb461e3 · outbound

This paper cites Advances in Neural Information Processing Systems , author=.

Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning Advances in Neural Information Processing Systems , author=

Reference 11

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Observation 93c787c1-8bbf-4450-8b3a-f9629c9f8c0d · outbound

This paper cites Decipher the Modality Gap in Multimodal Contrastive Learning: From Convergent Representations to Pairwise Alignment , url=.

Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning Decipher the Modality Gap in Multimodal Contrastive Learning: From Convergent Representations to Pairwise Alignment , url=

Reference 12

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Observation 8e3d1499-c4f7-4e0a-8658-a92e9cad1b91 · outbound

This paper cites The More, the Merrier: Contrastive Fusion for Higher-Order Multimodal Alignment , booktitle=.

Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning The More, the Merrier: Contrastive Fusion for Higher-Order Multimodal Alignment , booktitle=

Reference 13

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Observation 61f3bef8-d4f6-4408-a96e-672ea54d3f23 · outbound

This paper cites Dahl and Justin Gilmer and Christopher J.

Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning Dahl and Justin Gilmer and Christopher J

Reference 14

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Observation 5adcbe55-3d14-4cb4-8a68-a1397d621a8a · outbound

This paper cites Rectifier nonlinearities improve neural network acoustic models , volume=.

Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning Rectifier nonlinearities improve neural network acoustic models , volume=

Reference 15

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Observation df59bfad-c25f-4ee4-981e-5d74b436cfb5 · outbound

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

Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding , url=

Reference 16

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Observation 42b95e41-74fd-4c74-be86-94126080bfdf · outbound

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Reference 18

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This paper cites Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models.

Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 20

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This paper cites Cohort-Based Active Modality Acquisition.

Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning Cohort-Based Active Modality Acquisition

Reference 21

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Observation 50f8a6fd-47f8-44dc-bcd4-ac3c4ec68ff0 · outbound

This paper cites Fusion or Confusion? Multimodal Complexity Is Not All You Need.

Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning Fusion or Confusion? Multimodal Complexity Is Not All You Need

Reference 22

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This paper cites Understanding Dimensional Collapse in Contrastive Self-supervised Learning , url=.

Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning Understanding Dimensional Collapse in Contrastive Self-supervised Learning , url=

Reference 23

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Observation 0b56169f-fbcd-4353-a451-51b808dfb962 · outbound

This paper cites Dynamical Isometry is Achieved in Residual Networks in a Universal Way for any Activation Function , volume=.

Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning Dynamical Isometry is Achieved in Residual Networks in a Universal Way for any Activation Function , volume=

Reference 24

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This paper cites The Thirty-ninth Annual Conference on Neural Information Processing Systems , author=.

Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning The Thirty-ninth Annual Conference on Neural Information Processing Systems , author=

Reference 25

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This paper cites First Workshop on Pre-training: Perspectives, Pitfalls, and Paths Forward at ICML 2022 , author=.

Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning First Workshop on Pre-training: Perspectives, Pitfalls, and Paths Forward at ICML 2022 , author=

Reference 26

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Observation 069c99b4-5e74-43ee-9a40-d0a1758c352f · outbound

This paper cites Robust Learning with Jacobian Regularization.

Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning Robust Learning with Jacobian Regularization

Reference 28

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This paper cites Dynamical Isometry and a Mean Field Theory of CNNs: How to Train 10,000-Layer Vanilla Convolutional Neural Networks , volume=.

Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning Dynamical Isometry and a Mean Field Theory of CNNs: How to Train 10,000-Layer Vanilla Convolutional Neural Networks , volume=

Reference 30

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This paper cites Initialization of ReLUs for Dynamical Isometry , volume=.

Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning Initialization of ReLUs for Dynamical Isometry , volume=

Reference 31

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This paper cites Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, December 4-9, 2017, Long Beach, CA, USA , author=.

Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, December 4-9, 2017, Long Beach, CA, USA , author=

Reference 32

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This paper cites 2nd International Conference on Learning Representations, ICLR 2014, Banff, AB, Canada, April 14-16, 2014, Conference Track Proceedings , author=.

Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning 2nd International Conference on Learning Representations, ICLR 2014, Banff, AB, Canada, April 14-16, 2014, Conference Track Proceedings , author=

Reference 33

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Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning and Gilmer, Justin and Ganguli, Surya and Sohl-Dickstein, Jascha , year=

Reference 34

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Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning Always Skip Attention , booktitle=

Reference 35

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Observation 5f62431f-b8a8-4e40-8b56-b2d5a7723253 · outbound

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Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning Improving Transformer Optimization Through Better Initialization , volume=

Reference 36

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Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning Attention is All you Need , volume=

Reference 38

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Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning The Thirteenth International Conference on Learning Representations , author=

Reference 40

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This paper cites PiCME: Pipeline for Contrastive Modality Evaluation and Encoding in the MIMIC Dataset.

Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning PiCME: Pipeline for Contrastive Modality Evaluation and Encoding in the MIMIC Dataset

Reference 41

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Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning Sigmoid Loss for Language Image Pre-Training , booktitle=

Reference 42

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Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning LiT: Zero-Shot Transfer With Locked-Image Text Tuning , booktitle=

Reference 43

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Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning and Sung, Yun-Hsuan and Li, Zhen and Duerig, Tom , editor=

Reference 44

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Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning International Conference on Learning Representations , author=

Reference 45

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Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning Circulation , author=

Reference 47

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Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning Multimodal Clinical Benchmark for Emergency Care (MC-BEC): A Comprehensive Benchmark for Evaluating Foundation Models in Emergency Medicine , volume=

Reference 50

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Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning Scientific Data , author=

Reference 51

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This paper cites Hidden in the Multiplicative Interaction: Uncovering Fragility in Multimodal Contrastive Learning.

Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning Hidden in the Multiplicative Interaction: Uncovering Fragility in Multimodal Contrastive Learning

Reference 52

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Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning The Thirty-ninth Annual Conference on Neural Information Processing Systems , author=

Reference 53

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Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning The Thirteenth International Conference on Learning Representations , author=

Reference 54

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Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning Learning Transferable Visual Models From Natural Language Supervision , url=

Reference 55

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Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning The Thirty-eighth Annual Conference on Neural Information Processing Systems , author=

Reference 56

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Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning Acosta, Guido J

Reference 58

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Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning Unresolved cited work

Reference 59

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Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning Initialization of relus for dynamical isometry

Reference 60

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This paper cites The Geometric Mechanics of Contrastive Representation Learning: Alignment Potentials, Entropic Dispersion, and Cross-modal Divergence.

Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning The Geometric Mechanics of Contrastive Representation Learning: Alignment Potentials, Entropic Dispersion, and Cross-modal Divergence

Reference 61

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Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning A triangle enables multimodal alignment beyond cosine similarity

Reference 62

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Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning Gramian multimodal representation learning and alignment

Reference 63

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Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning The road less scheduled

Reference 64

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Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning What to align in multimodal contrastive learning? In The Thirteenth International Conference on Learning Representations, 2025

Reference 65

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This paper cites The Invisible Hand of Physics: When Video Diffusion Models Know More Than They Show.

Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning The Invisible Hand of Physics: When Video Diffusion Models Know More Than They Show

Reference 66

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Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning Pytorch lightning, March 2019

Reference 67

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Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning Sineproject: Machine unlearning for stable vision-language alignment

Reference 68

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This paper cites Dahl, Justin Gilmer, Christopher J.

Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning Dahl, Justin Gilmer, Christopher J

Reference 69

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Observation 214bb15b-54cd-4587-aef3-3cc5ea2aa60c · outbound

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Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning Unresolved cited work

Reference 70

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Observation ac33da94-ed1b-44f2-b775-903ba491a7f8 · outbound

This paper cites PiCME: Pipeline for Contrastive Modality Evaluation and Encoding in the MIMIC Dataset.

Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning PiCME: Pipeline for Contrastive Modality Evaluation and Encoding in the MIMIC Dataset

Reference 71

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Observation 2d2dc1ea-4a74-4d7e-a3f2-5a038260275b · outbound

This paper cites Deep residual learning for image recognition.

Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning Deep residual learning for image recognition

Reference 72

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Observation 71f42778-9060-49ce-be6e-4733219ba5ab · outbound

This paper cites Large language models are powerful electronic health record encoders.

Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning Large language models are powerful electronic health record encoders

Reference 73

Resolution: verified exact; doi, observed 2026-08-01T17:23:21.157614Z

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Observation b1def1c9-9141-4ef3-9fa8-75bf544d9282 · outbound

This paper cites Robust Learning with Jacobian Regularization.

Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning Robust Learning with Jacobian Regularization

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-01T17:22:09.144205Z

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Observation bd7bb2ad-4be2-4e75-aa25-01ae506f26c3 · outbound

This paper cites Hu, yelong shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen.

Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning Hu, yelong shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-01T17:22:09.264231Z

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Observation 1b474ba4-d1c3-4e02-a686-1859f17e4f5e · outbound

This paper cites Improving transformer optimization through better initialization.

Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning Improving transformer optimization through better initialization

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-01T17:22:09.385692Z

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Observation 83ba05ff-f81d-4333-9343-d2f72b0271f4 · outbound

This paper cites Always skip attention.

Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning Always skip attention

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-01T17:22:09.572817Z

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Observation 40e3d442-13ea-4e20-b52f-d0860d2f60fd · outbound

This paper cites Le, Yun-Hsuan Sung, Zhen Li, and Tom Duerig.

Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning Le, Yun-Hsuan Sung, Zhen Li, and Tom Duerig

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-01T17:22:09.675452Z

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Observation de351f8e-3bd2-4276-8c38-ede1eee2aedb · outbound

This paper cites Understanding dimensional collapse in contrastive self-supervised learning.

Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning Understanding dimensional collapse in contrastive self-supervised learning

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-01T17:22:09.868037Z

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Observation cc1ba51c-e7a7-461f-a96f-b0d9538b2989 · outbound

This paper cites MIMIC-IV.

Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning MIMIC-IV

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-01T17:22:10.006097Z

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Observation 07bab4ff-d708-4523-948e-d430a36a6538 · outbound

This paper cites an unresolved cited work.

Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning Unresolved cited work

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-01T17:22:10.123460Z

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Observation 8677aaae-4d03-489d-a2b4-b38db1a16afb · outbound

This paper cites The more, the merrier: Contrastive fusion for higher-order multimodal alignment.

Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning The more, the merrier: Contrastive fusion for higher-order multimodal alignment

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-01T17:22:10.274252Z

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Observation 57a65132-41e0-4f8e-b6ac-9234aeba4f6c · outbound

This paper cites Mind the gap: Understanding the modality gap in multi-modal contrastive representation learning.

Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning Mind the gap: Understanding the modality gap in multi-modal contrastive representation learning

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-01T17:22:10.401297Z

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Observation dbe463f9-76c1-4c51-9489-914b9ca02f8e · outbound

This paper cites Rectifier nonlinearities improve neural network acoustic models.

Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning Rectifier nonlinearities improve neural network acoustic models

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-01T17:22:10.511251Z

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Observation f7734452-148f-43fc-9931-b983ca308661 · outbound

This paper cites Schoenholz, and Surya Ganguli.

Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning Schoenholz, and Surya Ganguli

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-01T17:22:10.639893Z

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Observation 6c39ae99-8132-4e20-a331-17b6be6db7e3 · outbound

This paper cites Melo, and Ana Paiva.

Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning Melo, and Ana Paiva

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-01T17:22:10.763150Z

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Observation 1a452b4b-bcb7-4b3e-947d-443d8a8e169f · outbound

This paper cites Learning transferable visual models from natural language supervision.

Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning Learning transferable visual models from natural language supervision

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-01T17:22:10.898403Z

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Observation c8a74d20-ee02-439e-930c-92667a1d3e61 · outbound

This paper cites Cohort-Based Active Modality Acquisition.

Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning Cohort-Based Active Modality Acquisition

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-01T17:22:11.062506Z

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Observation e45e41a2-7da0-4ebe-831b-3b56eb1016d2 · outbound

This paper cites Fusion or Confusion? Multimodal Complexity Is Not All You Need.

Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning Fusion or Confusion? Multimodal Complexity Is Not All You Need

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-01T17:22:11.159089Z

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Observation e10cc80c-8a04-452e-bb19-c14176564b3b · outbound

This paper cites Hidden in the Multiplicative Interaction: Uncovering Fragility in Multimodal Contrastive Learning.

Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning Hidden in the Multiplicative Interaction: Uncovering Fragility in Multimodal Contrastive Learning

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-01T17:22:11.210344Z

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Observation 58089c60-c1b1-4c9d-93e4-ec7a1123e84e · outbound

This paper cites Contractive auto-encoders: Explicit invariance during feature extraction.

Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning Contractive auto-encoders: Explicit invariance during feature extraction

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-01T17:22:11.298298Z

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Observation 5c32b17f-b219-4280-b872-05e3d4182611 · outbound

This paper cites Rosenblatt.

Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning Rosenblatt

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-01T17:22:11.359334Z

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Observation cd8fb43d-5087-45c7-9c39-c4d9580423a3 · outbound

This paper cites Contrasting with symile: Simple model-agnostic representation learning for unlimited modalities.

Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning Contrasting with symile: Simple model-agnostic representation learning for unlimited modalities

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-01T17:22:11.433144Z

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Observation bc6d4551-32fd-4e19-875b-0e09ec9fcce5 · outbound

This paper cites Exact solutions to the nonlinear dynamics of learning in deep linear neural networks.

Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning Exact solutions to the nonlinear dynamics of learning in deep linear neural networks

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-01T17:22:11.492597Z

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Observation 7c5a3829-093f-41ae-9737-141583db0d2b · outbound

This paper cites Learnable latent embeddings for joint behavioural and neural analysis.

Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning Learnable latent embeddings for joint behavioural and neural analysis

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-01T17:22:11.536815Z

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Observation ab02273e-01ee-4714-87e9-281752b3b584 · outbound

This paper cites an unresolved cited work.

Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning Unresolved cited work

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-01T17:22:11.615346Z

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Observation 0337d0fb-65de-427d-bd1b-0c2e9724f552 · outbound

This paper cites Low rank gradients and where to find them.

Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning Low rank gradients and where to find them

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-01T17:22:11.695424Z

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Observation b146bfad-c217-4d53-8e82-4d4a253a2422 · outbound

This paper cites Uk biobank: An open access resource for identifying the causes of a wide range of complex diseases of middle and old age.

Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning Uk biobank: An open access resource for identifying the causes of a wide range of complex diseases of middle and old age

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-01T17:22:11.779976Z

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Observation 65aeef2d-f32d-4bc5-97cc-560951798d52 · outbound

This paper cites Dynamical isometry is achieved in residual networks in a universal way for any activation function.

Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning Dynamical isometry is achieved in residual networks in a universal way for any activation function

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-01T17:22:11.830817Z

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Observation ed8632ad-3d1d-45b3-9a66-07217aed91fe · outbound

This paper cites Resmlp: Feedforward networks for image classification with data-efficient training.

Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning Resmlp: Feedforward networks for image classification with data-efficient training

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-01T17:22:11.911677Z

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Observation 673a3440-2900-49a7-b9ba-a5a290436d1f · outbound

This paper cites Attention is all you need.

Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning Attention is all you need

Reference 101

Resolution: unresolved; no resolver link, observed 2026-08-01T17:22:11.970599Z

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Observation 654838a4-56b9-4077-b7fd-00f958f5c6ff · outbound

This paper cites Deepnet: Scaling transformers to 1,000 layers.

Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning Deepnet: Scaling transformers to 1,000 layers

Reference 102

Resolution: unresolved; no resolver link, observed 2026-08-01T17:22:12.023552Z

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Observation 66008cde-a781-4117-8e1a-4bc66fa30000 · outbound

This paper cites Understanding contrastive representation learning through alignment and uniformity on the hypersphere.

Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning Understanding contrastive representation learning through alignment and uniformity on the hypersphere

Reference 103

Resolution: unresolved; no resolver link, observed 2026-08-01T17:22:12.066749Z

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Observation aa367c2b-3ced-4d02-8644-ad2b94c79fe0 · outbound

This paper cites Dynamical isometry and a mean field theory of cnns: How to train 10,000-layer vanilla convolutional neural networks.

Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning Dynamical isometry and a mean field theory of cnns: How to train 10,000-layer vanilla convolutional neural networks

Reference 104

Resolution: unresolved; no resolver link, observed 2026-08-01T17:22:12.126579Z

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Observation 85c60a25-660e-4593-b4b4-61b0319e4712 · outbound

This paper cites Investigating why contrastive learning benefits robustness against label noise.

Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning Investigating why contrastive learning benefits robustness against label noise

Reference 105

Resolution: unresolved; no resolver link, observed 2026-08-01T17:22:12.201459Z

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Observation 36aabb6c-2b01-48e2-ba2b-fb1091c31aad · outbound

This paper cites Chang, Amilcare Gentili, and Chun-Nan Hsu.

Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning Chang, Amilcare Gentili, and Chun-Nan Hsu

Reference 106

Resolution: verified exact; doi, observed 2026-08-01T17:23:20.530185Z

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Observation c7a622dc-f374-4d04-ad09-5ff619d7e1d6 · outbound

This paper cites Decipher the modality gap in multimodal contrastive learning: From convergent representations to pairwise alignment, 2025.

Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning Decipher the modality gap in multimodal contrastive learning: From convergent representations to pairwise alignment, 2025

Reference 107

Resolution: unresolved; no resolver link, observed 2026-08-01T17:22:12.301040Z

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Observation 9af40754-12fc-4d64-a31c-24182d434503 · outbound

This paper cites Lit: Zero-shot transfer with locked-image text tuning.

Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning Lit: Zero-shot transfer with locked-image text tuning

Reference 108

Resolution: unresolved; no resolver link, observed 2026-08-01T17:22:12.381371Z

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Observation 41ce586a-159d-4545-a5e0-2647b0cbb9ca · outbound

This paper cites Sigmoid loss for language image pre-training.

Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning Sigmoid loss for language image pre-training

Reference 109

Resolution: unresolved; no resolver link, observed 2026-08-01T17:22:12.456666Z

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Observation 5f44d5bb-44c1-4fd6-af92-08b8ac5107a7 · outbound

This paper cites Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models.

Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 110

Resolution: unresolved; no resolver link, observed 2026-08-01T17:22:12.519192Z

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