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Paper Citation Record · LEDGER

High-Fidelity Differential-information Driven Binary Vision Transformer

As of 8 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 0 inbound Pith citation observations for arXiv:2507.02222.

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

pith.paper-citation-record.v1
2507.02222 v2

Coverage vector

measured 60 of 60 reference resolution

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measured 60 of 60 standing notices

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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

60 of 60 outbound references displayed

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External citation measurements

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Outbound references

Observation 726d54b2-c4b6-4421-b4cc-ab520cb3bc30 · outbound

This paper cites Improving vision transformers by revisit- ing high-frequency components.

High-Fidelity Differential-information Driven Binary Vision Transformer Improving vision transformers by revisit- ing high-frequency components

Reference 1

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Observation 917fcb41-e85c-4806-8912-7c79cd6f1858 · outbound

This paper cites Binarized spectral compressive imaging.

High-Fidelity Differential-information Driven Binary Vision Transformer Binarized spectral compressive imaging

Reference 2

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Observation 9e4348b9-34a5-40f1-b72e-8155094ad0b6 · outbound

This paper cites ” bnn-bn=?”: Train- ing binary neural networks without batch normalization.

High-Fidelity Differential-information Driven Binary Vision Transformer ” bnn-bn=?”: Train- ing binary neural networks without batch normalization

Reference 3

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Observation 47548a01-52b3-49fb-a79a-2f8af6af3b9b · outbound

This paper cites Binaryconnect: Training deep neural networks with binary weights during propagations.

High-Fidelity Differential-information Driven Binary Vision Transformer Binaryconnect: Training deep neural networks with binary weights during propagations

Reference 4

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Observation 94a812f5-b920-4659-9e0b-3a95b0784d58 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

High-Fidelity Differential-information Driven Binary Vision Transformer Imagenet: A large-scale hierarchical image database

Reference 5

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Observation 7af252ab-8e7c-454e-8e3f-100b931c614f · outbound

This paper cites Network pruning via performance maximization.

High-Fidelity Differential-information Driven Binary Vision Transformer Network pruning via performance maximization

Reference 6

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Observation 00985e79-ec31-4f3c-842c-82c5f606c9ba · outbound

This paper cites Gsb: Group superposition binarization for vision transformer with limited training samples.

High-Fidelity Differential-information Driven Binary Vision Transformer Gsb: Group superposition binarization for vision transformer with limited training samples

Reference 7

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Observation 6a1d28b0-3f0a-44ce-bb95-7a2d7aa614ae · outbound

This paper cites Towards optimization-friendly binary neu- ral network.

High-Fidelity Differential-information Driven Binary Vision Transformer Towards optimization-friendly binary neu- ral network

Reference 8

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Observation bc46e4f6-d928-4b7e-a4ea-506e1453ba79 · outbound

This paper cites Deep residual learning for image recognition.

High-Fidelity Differential-information Driven Binary Vision Transformer Deep residual learning for image recognition

Reference 9

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Observation 85e77748-f77e-4789-a499-5622eb9ac08b · outbound

This paper cites Bivit: Extremely com- pressed binary vision transformers.

High-Fidelity Differential-information Driven Binary Vision Transformer Bivit: Extremely com- pressed binary vision transformers

Reference 10

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Observation 1ec5eb84-b19d-4a4b-aa8f-0beb47f4fe6d · outbound

This paper cites Bolt, 2020.

High-Fidelity Differential-information Driven Binary Vision Transformer Bolt, 2020

Reference 11

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Observation b6cf4811-24b7-4bf9-ba47-a2caa70fdc94 · outbound

This paper cites Binarized neural networks.

High-Fidelity Differential-information Driven Binary Vision Transformer Binarized neural networks

Reference 12

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Observation f2ba08b0-bfaa-40e6-853e-ac98419fe80b · outbound

This paper cites Learning multiple layers of features from tiny images.

High-Fidelity Differential-information Driven Binary Vision Transformer Learning multiple layers of features from tiny images

Reference 13

Resolution
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Observation 97c706ad-3d9f-4759-94b7-7b1fde7993dd · outbound

This paper cites Binaryvit: Pushing binary vision transformers towards convolutional models.

High-Fidelity Differential-information Driven Binary Vision Transformer Binaryvit: Pushing binary vision transformers towards convolutional models

Reference 14

Resolution
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Observation 1f0f4a82-0c72-45d1-b038-e0a2321041cf · outbound

This paper cites Bfd: Binarized frequency-enhanced distillation for vision transformer.

High-Fidelity Differential-information Driven Binary Vision Transformer Bfd: Binarized frequency-enhanced distillation for vision transformer

Reference 15

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation c734133f-3d2c-4f0b-8e8e-15de98d5322d · outbound

This paper cites Exploring plain vision transformer backbones for object de- tection.

High-Fidelity Differential-information Driven Binary Vision Transformer Exploring plain vision transformer backbones for object de- tection

Reference 16

Resolution
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Observation d38f9dec-e34c-4f72-876d-4216ceb3803a · outbound

This paper cites Bi-vit: Pushing the limit of vision transformer quantization.

High-Fidelity Differential-information Driven Binary Vision Transformer Bi-vit: Pushing the limit of vision transformer quantization

Reference 17

Resolution
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Observation 10777005-7a2f-4dc5-92e1-546bc0576a5e · outbound

This paper cites Q-vit: Accurate and fully quantized low-bit vision transformer.

High-Fidelity Differential-information Driven Binary Vision Transformer Q-vit: Accurate and fully quantized low-bit vision transformer

Reference 18

Resolution
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Source-reported events for the cited work

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Observation 342a3ecb-75bf-4dfd-b786-b15cbce383a4 · outbound

This paper cites Siman: Sign-to- magnitude network binarization.

High-Fidelity Differential-information Driven Binary Vision Transformer Siman: Sign-to- magnitude network binarization

Reference 19

Resolution
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Source-reported events for the cited work

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Observation 644f686a-a0db-4a04-9afb-8797a2f8f23b · outbound

This paper cites Ro- tated binary neural network.

High-Fidelity Differential-information Driven Binary Vision Transformer Ro- tated binary neural network

Reference 20

Resolution
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Source-reported events for the cited work

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Observation 4ff3891e-74d0-455b-af7e-9b4ca54da739 · outbound

This paper cites Towards accurate binary convolutional neural network.

High-Fidelity Differential-information Driven Binary Vision Transformer Towards accurate binary convolutional neural network

Reference 21

Resolution
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Observation 0fe71188-fb2d-4f9b-9cf8-2f292b314e9f · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

High-Fidelity Differential-information Driven Binary Vision Transformer Swin transformer: Hierarchical vision transformer using shifted windows

Reference 22

Resolution
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Observation c6869155-3506-4a72-8c42-ea322b2c017c · outbound

This paper cites Bit: Robustly binarized multi-distilled trans- former.

High-Fidelity Differential-information Driven Binary Vision Transformer Bit: Robustly binarized multi-distilled trans- former

Reference 23

Resolution
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Observation 09342768-534e-45d7-80be-98748b6d436b · outbound

This paper cites Reactnet: Towards precise binary neural net- work with generalized activation functions.

High-Fidelity Differential-information Driven Binary Vision Transformer Reactnet: Towards precise binary neural net- work with generalized activation functions

Reference 24

Resolution
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Observation 09c696ed-744e-4c74-a588-b83c1066ecd8 · outbound

This paper cites Bi-real net: Enhancing the perfor- mance of 1-bit cnns with improved representational capabil- ity and advanced training algorithm.

High-Fidelity Differential-information Driven Binary Vision Transformer Bi-real net: Enhancing the perfor- mance of 1-bit cnns with improved representational capabil- ity and advanced training algorithm

Reference 25

Resolution
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Observation 7867f681-6654-4a4b-93e7-a65d3ed913cf · outbound

This paper cites Image matching from handcrafted to deep fea- tures: A survey.

High-Fidelity Differential-information Driven Binary Vision Transformer Image matching from handcrafted to deep fea- tures: A survey

Reference 26

Resolution
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Observation 870054e8-f238-48c6-b06f-8af644a824cc · outbound

This paper cites Low rank approximation: algorithms, im- plementation, applications, volume 906.

High-Fidelity Differential-information Driven Binary Vision Transformer Low rank approximation: algorithms, im- plementation, applications, volume 906

Reference 27

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Observation 7f650e5b-f9c6-4b57-b14f-037b1c95a648 · outbound

This paper cites Rectified linear units im- prove restricted boltzmann machines.

High-Fidelity Differential-information Driven Binary Vision Transformer Rectified linear units im- prove restricted boltzmann machines

Reference 28

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Observation ce087669-8261-4e37-a179-3d5dc21a5a77 · outbound

This paper cites Bibert: Accurate fully binarized bert.

High-Fidelity Differential-information Driven Binary Vision Transformer Bibert: Accurate fully binarized bert

Reference 29

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 94b11c93-2717-40e7-b9bf-0613c2a5d253 · outbound

This paper cites Binary neural networks: A survey.

High-Fidelity Differential-information Driven Binary Vision Transformer Binary neural networks: A survey

Reference 30

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 008052f6-3176-4c20-b034-509d0f9c847b · outbound

This paper cites Forward and backward information retention for accurate binary neural networks.

High-Fidelity Differential-information Driven Binary Vision Transformer Forward and backward information retention for accurate binary neural networks

Reference 31

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 3ce16ff7-bc59-4e6d-84b6-3861ebd355ac · outbound

This paper cites BiBench: Benchmarking and Analyzing Network Binarization.

High-Fidelity Differential-information Driven Binary Vision Transformer BiBench: Benchmarking and Analyzing Network Binarization

Reference 32

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 9b47a7d4-b1d7-4053-acd5-a4e03354b236 · outbound

This paper cites Xnor-net: Imagenet classification using bi- nary convolutional neural networks.

High-Fidelity Differential-information Driven Binary Vision Transformer Xnor-net: Imagenet classification using bi- nary convolutional neural networks

Reference 33

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation f4a05652-4c8f-45d1-b583-d26f2933b446 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

High-Fidelity Differential-information Driven Binary Vision Transformer U-net: Convolutional networks for biomedical image segmentation

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:42:23.311125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 89083661-d771-46d8-aa79-2c257f1f5d98 · outbound

This paper cites An attentive inductive bias for sequential recom- mendation beyond the self-attention.

High-Fidelity Differential-information Driven Binary Vision Transformer An attentive inductive bias for sequential recom- mendation beyond the self-attention

Reference 35

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation deb65359-9492-4c4f-b8c0-a0c2074ca992 · outbound

This paper cites Segmenter: Transformer for semantic segmenta- tion.

High-Fidelity Differential-information Driven Binary Vision Transformer Segmenter: Transformer for semantic segmenta- tion

Reference 36

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 64324d9a-b09f-4c3f-bf18-d17e5bdcc032 · outbound

This paper cites Training data-efficient image transformers & distillation through at- tention.

High-Fidelity Differential-information Driven Binary Vision Transformer Training data-efficient image transformers & distillation through at- tention

Reference 37

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 10420442-24c6-4d9f-a940-fd07401fdf70 · outbound

This paper cites Adabin: Improving binary neural networks with adaptive bi- nary sets.

High-Fidelity Differential-information Driven Binary Vision Transformer Adabin: Improving binary neural networks with adaptive bi- nary sets

Reference 38

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 9e6c78bf-ed46-4b96-a1b2-0b23c4869e7d · outbound

This paper cites Pyramid vision transformer: A versatile backbone for dense prediction without convolutions.

High-Fidelity Differential-information Driven Binary Vision Transformer Pyramid vision transformer: A versatile backbone for dense prediction without convolutions

Reference 39

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 93455352-109e-4ab4-9722-40b5e8f384aa · outbound

This paper cites Bvt-ima: Binary vision transformer with information-modified attention.

High-Fidelity Differential-information Driven Binary Vision Transformer Bvt-ima: Binary vision transformer with information-modified attention

Reference 40

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 3b7f3204-a6a0-46a6-ad14-3cfa58513fed · outbound

This paper cites Tiny imagenet challenge.

High-Fidelity Differential-information Driven Binary Vision Transformer Tiny imagenet challenge

Reference 41

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 70386e91-0a7b-4b3f-be9a-5746d3435b8d · outbound

This paper cites Resilient binary neural network.

High-Fidelity Differential-information Driven Binary Vision Transformer Resilient binary neural network

Reference 42

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 4499861d-e548-44cb-80d7-b3943aa4cc74 · outbound

This paper cites Recurrent bilinear optimization for binary neural networks.

High-Fidelity Differential-information Driven Binary Vision Transformer Recurrent bilinear optimization for binary neural networks

Reference 43

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 26febf82-4277-401b-a68e-170dd6d2e71d · outbound

This paper cites Learning frequency domain approxima- tion for binary neural networks.

High-Fidelity Differential-information Driven Binary Vision Transformer Learning frequency domain approxima- tion for binary neural networks

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:42:22.300489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation ba94f8b7-b445-4cc8-8674-0485061d6516 · outbound

This paper cites Lavt: Language-aware vision transformer for referring image segmentation.

High-Fidelity Differential-information Driven Binary Vision Transformer Lavt: Language-aware vision transformer for referring image segmentation

Reference 45

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation fdd71f6b-a74c-4304-9762-bdd644cbc982 · outbound

This paper cites Pathfinder for Low-altitude Aircraft with Binary Neural Network.

High-Fidelity Differential-information Driven Binary Vision Transformer Pathfinder for Low-altitude Aircraft with Binary Neural Network

Reference 46

Resolution
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Source-reported events for the cited work

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Observation 9c042380-26a5-43e9-a800-f40479d82357 · outbound

This paper cites Si-bivit: Binarizing vision transformers with spatial interaction.

High-Fidelity Differential-information Driven Binary Vision Transformer Si-bivit: Binarizing vision transformers with spatial interaction

Reference 47

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 5cbb5e43-68c8-4ccb-8fa2-1747dbc4674c · outbound

This paper cites BiDense: Binarization for Dense Prediction.

High-Fidelity Differential-information Driven Binary Vision Transformer BiDense: Binarization for Dense Prediction

Reference 48

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9de759ba-b7e4-4ce7-8652-38148a36fc78 · outbound

This paper cites Pokebnn: A binary pursuit of lightweight accuracy.

High-Fidelity Differential-information Driven Binary Vision Transformer Pokebnn: A binary pursuit of lightweight accuracy

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:42:21.911478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation febed67d-d43e-43e0-8431-bf26e844c7eb · outbound

This paper cites Vit-yolo: Transformer-based yolo for object detection.

High-Fidelity Differential-information Driven Binary Vision Transformer Vit-yolo: Transformer-based yolo for object detection

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:42:21.751705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 77bb2bdf-7404-439a-a0a4-70f26f627eb6 · outbound

This paper cites Semantic under- standing of scenes through the ade20k dataset.

High-Fidelity Differential-information Driven Binary Vision Transformer Semantic under- standing of scenes through the ade20k dataset

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:42:21.560590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation bc8d4c8e-7cf1-43b4-918a-fdde0868cee3 · outbound

This paper cites Towards effective low-bitwidth convolutional neural networks.

High-Fidelity Differential-information Driven Binary Vision Transformer Towards effective low-bitwidth convolutional neural networks

Reference 52

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 271b5a97-5dd8-4964-a7d2-5de3b28bc923 · outbound

This paper cites Let the element of O be Ok,l and the element of X be Xm,n, we have ∂Ok,l ∂Xm,n = ∂V + ∂Q + ∂K.

High-Fidelity Differential-information Driven Binary Vision Transformer Let the element of O be Ok,l and the element of X be Xm,n, we have ∂Ok,l ∂Xm,n = ∂V + ∂Q + ∂K

Reference 55

Resolution
malformed identifier
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 40d5365c-3e92-4986-9fc5-42d4e77abfbc · outbound

This paper cites 1, we take an input vector X ∈ R2×2 as an example.

High-Fidelity Differential-information Driven Binary Vision Transformer 1, we take an input vector X ∈ R2×2 as an example

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:42:21.049175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation d133b0a7-9496-4eef-865d-6e349e9168a1 · outbound

This paper cites Let A ∈ Rm×n be the original matrix.

High-Fidelity Differential-information Driven Binary Vision Transformer Let A ∈ Rm×n be the original matrix

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:42:20.826279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation e1d64084-3fe1-449b-a6ff-2755f8478255 · outbound

This paper cites In this situation, the learnable parameter becomes a scalar p ∈ R1×1.

High-Fidelity Differential-information Driven Binary Vision Transformer In this situation, the learnable parameter becomes a scalar p ∈ R1×1

Reference 58

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation c0d6e23d-1d4f-41dd-8904-442a11a3319c · outbound

This paper cites an unresolved cited work.

High-Fidelity Differential-information Driven Binary Vision Transformer Unresolved cited work

Reference 59

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:42:20.440626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 96742770-73e9-4d2d-90d9-8587a00e613a · outbound

This paper cites Then, we utilize the BOLT toolbox [11] to implement each method to the edge device based on an ARM Cortex-A76 CPU (without CUDA).

High-Fidelity Differential-information Driven Binary Vision Transformer Then, we utilize the BOLT toolbox [11] to implement each method to the edge device based on an ARM Cortex-A76 CPU (without CUDA)

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:42:20.218796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:42:19.833544Z digest=sha256:de8d56a8cf0afb068fc97a721c453c21224a795dcaa39fb23842b61eae5f6cab

Observation e1fbea9c-67ef-42c0-b885-0320a6e22a14 · outbound

This paper cites 1, 2, 5, 6, 7, 8.

High-Fidelity Differential-information Driven Binary Vision Transformer 1, 2, 5, 6, 7, 8

Reference 159

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:42:24.748171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:42:17.051512Z digest=sha256:3994507d17324880eb3c67cc9edcfe8f4d513659ea4d4e2934a458a4ba67329b

Observation 5f565091-2b05-41c2-b4c0-d983a27c5cc8 · outbound

This paper cites an unresolved cited work.

High-Fidelity Differential-information Driven Binary Vision Transformer Unresolved cited work

Reference 2018

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:42:21.434724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Pith citing papers

No inbound Pith citation observations are available.