Paper Citation Record · LEDGER

Opto-ViT-v2: Noise-Resilient On-Chip Fine-Tuning for Photonic Near-Sensor Vision Transformer Accelerators

As of 8 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2607.19421.

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

pith.paper-citation-record.v1
2607.19421 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T18:01:58.408621Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

26 of 26 outbound references displayed

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verified fuzzy0
unresolved26
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 840b03aa-13ca-47ad-ab5f-40e1096afd09 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

Opto-ViT-v2: Noise-Resilient On-Chip Fine-Tuning for Photonic Near-Sensor Vision Transformer Accelerators An image is worth 16x16 words: Transformers for image recognition at scale

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T18:01:55.951520Z

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Unavailable: canonical work link unavailable.

Observation 4c9d69ca-bdd7-486a-9683-df9a19047864 · outbound

This paper cites CrossLight: A cross-layer optimized silicon photonic neural network accelerator.

Opto-ViT-v2: Noise-Resilient On-Chip Fine-Tuning for Photonic Near-Sensor Vision Transformer Accelerators CrossLight: A cross-layer optimized silicon photonic neural network accelerator

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T18:01:56.026577Z

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Observation e650b96c-0af9-4b80-af1a-6a1288624d15 · outbound

This paper cites Lightator: An optical near-sensor accelerator with compressive acquisition enabling versa- tile image processing.

Opto-ViT-v2: Noise-Resilient On-Chip Fine-Tuning for Photonic Near-Sensor Vision Transformer Accelerators Lightator: An optical near-sensor accelerator with compressive acquisition enabling versa- tile image processing

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T18:01:56.128015Z

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Observation 30071e29-cbad-4205-9bf6-1d7a56494e24 · outbound

This paper cites Opto-ViT: Architecting a near-sensor region of interest-aware vision transformer accelerator with silicon photonics.

Opto-ViT-v2: Noise-Resilient On-Chip Fine-Tuning for Photonic Near-Sensor Vision Transformer Accelerators Opto-ViT: Architecting a near-sensor region of interest-aware vision transformer accelerator with silicon photonics

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T18:01:56.244114Z

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Observation 2e4925ca-ab29-4829-9550-e4ade3ebbf26 · outbound

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

Opto-ViT-v2: Noise-Resilient On-Chip Fine-Tuning for Photonic Near-Sensor Vision Transformer Accelerators Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T18:01:56.362203Z

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Observation 7cc8263d-32bf-4d00-8147-b0e49406bd3c · outbound

This paper cites Belongie, Bharath Hariharan, and Ser-Nam Lim.

Opto-ViT-v2: Noise-Resilient On-Chip Fine-Tuning for Photonic Near-Sensor Vision Transformer Accelerators Belongie, Bharath Hariharan, and Ser-Nam Lim

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T18:01:56.474591Z

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Observation 4ba09789-addf-4a46-9bd2-597c9132f4a1 · outbound

This paper cites Parameter- efficient transfer learning for NLP.

Opto-ViT-v2: Noise-Resilient On-Chip Fine-Tuning for Photonic Near-Sensor Vision Transformer Accelerators Parameter- efficient transfer learning for NLP

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T18:01:56.577069Z

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Observation 0d9a0a29-0ed0-4bd0-b1cc-9b649e6cfa7c · outbound

This paper cites FacT: Factor-tuning for lightweight adaptation on vision transformer.

Opto-ViT-v2: Noise-Resilient On-Chip Fine-Tuning for Photonic Near-Sensor Vision Transformer Accelerators FacT: Factor-tuning for lightweight adaptation on vision transformer

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T18:01:56.655353Z

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Observation 1b9c765b-c4e9-410d-869c-845ebe52c234 · outbound

This paper cites AdaptFormer: Adapting vision transformers for scalable visual recognition.

Opto-ViT-v2: Noise-Resilient On-Chip Fine-Tuning for Photonic Near-Sensor Vision Transformer Accelerators AdaptFormer: Adapting vision transformers for scalable visual recognition

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T18:01:56.765404Z

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Observation bb921478-086f-448f-8151-44ef57769b2a · outbound

This paper cites LightBulb: A photonic-nonvolatile-memory-based accelerator for binarized convolutional neural networks.

Opto-ViT-v2: Noise-Resilient On-Chip Fine-Tuning for Photonic Near-Sensor Vision Transformer Accelerators LightBulb: A photonic-nonvolatile-memory-based accelerator for binarized convolutional neural networks

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T18:01:56.971614Z

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Observation ee97e804-4edf-4a56-ac42-d458198664b3 · outbound

This paper cites HolyLight: A nanophotonic accelerator for deep learning in data centers.

Opto-ViT-v2: Noise-Resilient On-Chip Fine-Tuning for Photonic Near-Sensor Vision Transformer Accelerators HolyLight: A nanophotonic accelerator for deep learning in data centers

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T18:01:57.061811Z

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Observation b9069f5f-bcb7-45c8-af98-3d7cbeccc9c2 · outbound

This paper cites Sunny, Asif Mirza, Mahdi Nikdast, and Sudeep Pasricha.

Opto-ViT-v2: Noise-Resilient On-Chip Fine-Tuning for Photonic Near-Sensor Vision Transformer Accelerators Sunny, Asif Mirza, Mahdi Nikdast, and Sudeep Pasricha

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T18:01:57.146415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67046053-ba09-47c6-85c9-1d2c8d026484 · outbound

This paper cites TRON: Transformer neural network acceleration with non-coherent silicon photonics.

Opto-ViT-v2: Noise-Resilient On-Chip Fine-Tuning for Photonic Near-Sensor Vision Transformer Accelerators TRON: Transformer neural network acceleration with non-coherent silicon photonics

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T18:01:57.270116Z

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Observation 75070bac-03ae-48b2-b039-28569a2f86cb · outbound

This paper cites AdapterFusion: Non-destructive task composition for transfer learning.

Opto-ViT-v2: Noise-Resilient On-Chip Fine-Tuning for Photonic Near-Sensor Vision Transformer Accelerators AdapterFusion: Non-destructive task composition for transfer learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T18:01:57.365983Z

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Observation cd00f1dd-9aa0-483f-97c3-4038caf641d8 · outbound

This paper cites Fast and robust analog in-memory deep neural network training.Nature Communi- cations, 15(1):7133, 2024.

Opto-ViT-v2: Noise-Resilient On-Chip Fine-Tuning for Photonic Near-Sensor Vision Transformer Accelerators Fast and robust analog in-memory deep neural network training.Nature Communi- cations, 15(1):7133, 2024

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T18:01:57.457930Z

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Observation 4c5c1055-dc8b-4711-a567-ab22493b1f73 · outbound

This paper cites ReTransformer: ReRAM- based processing-in-memory architecture for transformer acceleration.

Opto-ViT-v2: Noise-Resilient On-Chip Fine-Tuning for Photonic Near-Sensor Vision Transformer Accelerators ReTransformer: ReRAM- based processing-in-memory architecture for transformer acceleration

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T18:01:57.574863Z

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Observation 99dd0c71-a713-46fa-bed4-78c1dce8efbd · outbound

This paper cites Light-Bound Transformers: Hardware-Anchored Robustness for Silicon-Photonic Computer Vision Systems.

Opto-ViT-v2: Noise-Resilient On-Chip Fine-Tuning for Photonic Near-Sensor Vision Transformer Accelerators Light-Bound Transformers: Hardware-Anchored Robustness for Silicon-Photonic Computer Vision Systems

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T18:01:57.675873Z

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Observation c0c19a0e-6107-412a-8f6e-fb23f488d637 · outbound

This paper cites Neural Prompt Search.

Opto-ViT-v2: Noise-Resilient On-Chip Fine-Tuning for Photonic Near-Sensor Vision Transformer Accelerators Neural Prompt Search

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T18:01:57.730943Z

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Observation 0712ba36-c289-4b44-93ff-a549e21f5632 · outbound

This paper cites Freepdk45: An open-source predictive process design kit.

Opto-ViT-v2: Noise-Resilient On-Chip Fine-Tuning for Photonic Near-Sensor Vision Transformer Accelerators Freepdk45: An open-source predictive process design kit

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T18:01:57.851019Z

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Observation 353bd5d0-c30a-4dba-bc42-b38945e07ab8 · outbound

This paper cites Synopsys design compiler, product version 14.9.2014, 2014.

Opto-ViT-v2: Noise-Resilient On-Chip Fine-Tuning for Photonic Near-Sensor Vision Transformer Accelerators Synopsys design compiler, product version 14.9.2014, 2014

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T18:01:57.914701Z

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Unavailable: canonical work link unavailable.

Observation fffc8b17-678d-41ca-a6aa-7e54bb1bf7fe · outbound

This paper cites A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark.

Opto-ViT-v2: Noise-Resilient On-Chip Fine-Tuning for Photonic Near-Sensor Vision Transformer Accelerators A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T18:01:58.032541Z

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Observation f3526b13-01ca-4439-ab49-d1360b466300 · outbound

This paper cites Food-101 – mining discriminative components with random forests.

Opto-ViT-v2: Noise-Resilient On-Chip Fine-Tuning for Photonic Near-Sensor Vision Transformer Accelerators Food-101 – mining discriminative components with random forests

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T18:01:58.110826Z

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Observation 65bdff12-f27e-4731-bfde-88cc2541450d · outbound

This paper cites 3D object representa- tions for fine-grained categorization.

Opto-ViT-v2: Noise-Resilient On-Chip Fine-Tuning for Photonic Near-Sensor Vision Transformer Accelerators 3D object representa- tions for fine-grained categorization

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T18:01:58.207941Z

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Observation 4241f0b7-6159-48c8-b9b5-337b90dc525c · outbound

This paper cites Automated flower classification over a large number of classes.

Opto-ViT-v2: Noise-Resilient On-Chip Fine-Tuning for Photonic Near-Sensor Vision Transformer Accelerators Automated flower classification over a large number of classes

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T18:01:58.267579Z

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Observation 0c65579c-752a-4b6a-b799-df1a4ac15826 · outbound

This paper cites Fine-Grained Visual Classification of Aircraft.

Opto-ViT-v2: Noise-Resilient On-Chip Fine-Tuning for Photonic Near-Sensor Vision Transformer Accelerators Fine-Grained Visual Classification of Aircraft

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T18:01:58.349988Z

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Observation 6c4df452-efc5-45b7-8bad-acc9712e9414 · outbound

This paper cites Parkhi, Andrea Vedaldi, Andrew Zisserman, and C.

Opto-ViT-v2: Noise-Resilient On-Chip Fine-Tuning for Photonic Near-Sensor Vision Transformer Accelerators Parkhi, Andrea Vedaldi, Andrew Zisserman, and C

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T18:01:58.408621Z

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Pith citing papers

No inbound Pith citation observations are available.