Paper Citation Record · LEDGER

Patch Pruning Strategy Based on Robust Statistical Measures of Attention Weight Diversity in Vision Transformers

As of 21 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2507.19175.

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

pith.paper-citation-record.v1
2507.19175 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:02:36.993489Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

20 of 20 outbound references displayed

verified exact0
verified fuzzy9
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8e08ddd8-3176-467e-8040-068278b28812 · outbound

This paper cites Neural Machine Translation by Jointly Learning to Align and Translate.

Patch Pruning Strategy Based on Robust Statistical Measures of Attention Weight Diversity in Vision Transformers Neural Machine Translation by Jointly Learning to Align and Translate

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T18:02:36.918186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f93f4dd-a6bd-4283-b4d6-86711552f3b9 · outbound

This paper cites In ICLR (2023).

Patch Pruning Strategy Based on Robust Statistical Measures of Attention Weight Diversity in Vision Transformers In ICLR (2023)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:02:37.269493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9a40fcf8-0ef2-4f0a-b12a-b523db73e077 · outbound

This paper cites Emerging Properties in Self-Supervised Vision Transformers.

Patch Pruning Strategy Based on Robust Statistical Measures of Attention Weight Diversity in Vision Transformers Emerging Properties in Self-Supervised Vision Transformers

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T18:02:36.928695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f6e6fe9-318c-4c16-9f02-ebbcc4b4d4f5 · outbound

This paper cites In CVPR (2009).

Patch Pruning Strategy Based on Robust Statistical Measures of Attention Weight Diversity in Vision Transformers In CVPR (2009)

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:02:37.257005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 227e9a22-d1d2-4f3a-96d0-7d98894a7cae · outbound

This paper cites In International Conference on Learning Representations (2021).

Patch Pruning Strategy Based on Robust Statistical Measures of Attention Weight Diversity in Vision Transformers In International Conference on Learning Representations (2021)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:02:37.244384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b91d9061-8ab7-4b15-a845-95a57fb6a727 · outbound

This paper cites In EMNLP (2019).

Patch Pruning Strategy Based on Robust Statistical Measures of Attention Weight Diversity in Vision Transformers In EMNLP (2019)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:02:37.231103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c7530b75-67d7-4abb-943b-ff99269a31cb · outbound

This paper cites In ICLR (2017).

Patch Pruning Strategy Based on Robust Statistical Measures of Attention Weight Diversity in Vision Transformers In ICLR (2017)

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:02:37.217934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e6ecb72c-2f37-4e5a-96da-a99fe754c2a9 · outbound

This paper cites In EMNLP (2020).

Patch Pruning Strategy Based on Robust Statistical Measures of Attention Weight Diversity in Vision Transformers In EMNLP (2020)

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:02:37.203077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c5b76456-ee84-4207-b394-f47fa794e3e8 · outbound

This paper cites In EMNLP (2018).

Patch Pruning Strategy Based on Robust Statistical Measures of Attention Weight Diversity in Vision Transformers In EMNLP (2018)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:02:37.191310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 540e9422-3f12-4617-9b18-685e2a4547de · outbound

This paper cites an unresolved cited work.

Patch Pruning Strategy Based on Robust Statistical Measures of Attention Weight Diversity in Vision Transformers Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-15T18:02:37.179162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d715c317-fc32-442a-b932-81fe97bba4a6 · outbound

This paper cites Decoupled Weight Decay Regularization.

Patch Pruning Strategy Based on Robust Statistical Measures of Attention Weight Diversity in Vision Transformers Decoupled Weight Decay Regularization

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T18:02:36.958921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99bbd71c-88bd-436e-8526-41194bce8e4b · outbound

This paper cites SGDR: Stochastic Gradient Descent with Warm Restarts.

Patch Pruning Strategy Based on Robust Statistical Measures of Attention Weight Diversity in Vision Transformers SGDR: Stochastic Gradient Descent with Warm Restarts

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T18:02:36.962317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8164c427-c276-4f12-ab72-194387d892c3 · outbound

This paper cites In NeurIPS (2021).

Patch Pruning Strategy Based on Robust Statistical Measures of Attention Weight Diversity in Vision Transformers In NeurIPS (2021)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:02:37.166323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a2b7e216-95af-44a1-b21d-331ca5632328 · outbound

This paper cites Contrastive Multiview Coding.

Patch Pruning Strategy Based on Robust Statistical Measures of Attention Weight Diversity in Vision Transformers Contrastive Multiview Coding

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T18:02:36.969757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6436e687-7136-4d28-a2fc-86c3d7810176 · outbound

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

Patch Pruning Strategy Based on Robust Statistical Measures of Attention Weight Diversity in Vision Transformers Training data-efficient image transformers & distillation through attention

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T18:02:36.973840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a72cb94-3516-470b-bfcf-b1bc14e9537c · outbound

This paper cites In NIPS (2017).

Patch Pruning Strategy Based on Robust Statistical Measures of Attention Weight Diversity in Vision Transformers In NIPS (2017)

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:02:37.153482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation db373f0c-fae2-471d-b29a-2fb102bd4e4a · outbound

This paper cites CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features.

Patch Pruning Strategy Based on Robust Statistical Measures of Attention Weight Diversity in Vision Transformers CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T18:02:36.981325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f41c61c-9954-4620-a333-8ca6e5245b87 · outbound

This paper cites mixup: Beyond Empirical Risk Minimization.

Patch Pruning Strategy Based on Robust Statistical Measures of Attention Weight Diversity in Vision Transformers mixup: Beyond Empirical Risk Minimization

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T18:02:36.985103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 518f8b8f-6b54-41e7-b77a-c019564906eb · outbound

This paper cites Random Erasing Data Augmentation.

Patch Pruning Strategy Based on Robust Statistical Measures of Attention Weight Diversity in Vision Transformers Random Erasing Data Augmentation

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T18:02:36.989384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22f5cc18-2dcb-4521-afdd-8b26b43ec73e · outbound

This paper cites DeepViT: Towards Deeper Vision Transformer.

Patch Pruning Strategy Based on Robust Statistical Measures of Attention Weight Diversity in Vision Transformers DeepViT: Towards Deeper Vision Transformer

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T18:02:36.993489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.