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Paper Citation Record · LEDGER

Informed Mixing -- Improving Open Set Recognition via Attribution-based Augmentation

As of 22 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2505.12803.

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

pith.paper-citation-record.v1
2505.12803 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:31:43.204245Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

14 of 14 outbound references displayed

  • verified exact2
  • verified fuzzy5
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 612e99bf-545e-4e6b-b378-3b4a7158bd31 · outbound

This paper cites To ensure fair- ness, all models were trained for 600 epochs using default augmentations for contrastive learning as specified in their respective original papers.

Informed Mixing -- Improving Open Set Recognition via Attribution-based Augmentation To ensure fair- ness, all models were trained for 600 epochs using default augmentations for contrastive learning as specified in their respective original papers

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:31:43.409713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T20:31:43.194323Z digest=sha256:41f732b2b45c7fd38de9a70e7b4d351ca9f1d0975bbcc3c5db529895d10638d5

Observation b15e9577-1710-45d3-b976-579424bcaeb3 · outbound

This paper cites and Chan, P.

Informed Mixing -- Improving Open Set Recognition via Attribution-based Augmentation and Chan, P

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-15T20:31:43.458950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T20:31:43.150719Z digest=sha256:e00f21e5154cf734d37f8e1c32f5dfe58344787d95e7e1fad3d19d2ea4ebf667

Observation 204f10dc-6ea8-4b7c-bd0d-20bd25af67b1 · outbound

This paper cites an unresolved cited work.

Informed Mixing -- Improving Open Set Recognition via Attribution-based Augmentation Unresolved cited work

Reference 7

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unresolved
raw_fallback, observed 2026-08-15T20:31:43.425279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T20:31:43.169689Z digest=sha256:7a961a279e6865b063e881ee07f9191cf8a4068695a86160b49a927e750319a5

Observation 1c8a30b1-a302-4939-89bd-e18db2fee570 · outbound

This paper cites Understanding the effect of sparsity on neural networks robustness.

Informed Mixing -- Improving Open Set Recognition via Attribution-based Augmentation Understanding the effect of sparsity on neural networks robustness

Reference 9

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verified exact
local_arxiv, observed 2026-08-15T20:31:43.285825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T20:31:43.178913Z digest=sha256:fdda5159c9c73b0364beb1a301cd123f8c9e373be01e86c04dc70ee59aeafdc9

Observation 4f27cbee-297b-4499-9800-111ccb714d29 · outbound

This paper cites Figure 10: Attribution maps from CIFAR10 and TinyIma- geNet datasets computed using LayerCAM: Row 1,3,5,7: model trained without GradMix; Row 2,4,6,8: model trained with GradMix.

Informed Mixing -- Improving Open Set Recognition via Attribution-based Augmentation Figure 10: Attribution maps from CIFAR10 and TinyIma- geNet datasets computed using LayerCAM: Row 1,3,5,7: model trained without GradMix; Row 2,4,6,8: model trained with GradMix

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:31:43.377589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T20:31:43.204245Z digest=sha256:e9d6af12846ec7e329f81d564346355958e6d438bf41f0312bb9239468e4a93e

Observation ea4edf72-14c7-4f88-8723-6c8d77714db1 · outbound

This paper cites We list the final applied hyper-parameters in Table 8, including γ andλ in the learning objective,k in the detection method, the number of training epochs, and batch size (BS).

Informed Mixing -- Improving Open Set Recognition via Attribution-based Augmentation We list the final applied hyper-parameters in Table 8, including γ andλ in the learning objective,k in the detection method, the number of training epochs, and batch size (BS)

Reference 128

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:31:43.393459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T20:31:43.198924Z digest=sha256:1d0fbbf8f09dd5ace3a850d8a9d6df49eb7b2eb50b03680d9e25f4291809f057

Observation ce62385e-2329-4b9a-b8d9-095cedbde99f · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

Informed Mixing -- Improving Open Set Recognition via Attribution-based Augmentation Representation Learning with Contrastive Predictive Coding

Reference 2011

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unresolved
no resolver link, observed 2026-08-15T20:31:43.164902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:31:43.164902Z digest=sha256:f7da0e7609e78c32bb0f8843429c44f525e839d32e43b9ac20677c1f42f17352

Observation d7410632-60ac-4ac5-98de-4724e4f4cf77 · outbound

This paper cites Improved Regularization of Convolutional Neural Networks with Cutout.

Informed Mixing -- Improving Open Set Recognition via Attribution-based Augmentation Improved Regularization of Convolutional Neural Networks with Cutout

Reference 2012

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unresolved
no resolver link, observed 2026-08-15T20:31:43.145596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:31:43.145596Z digest=sha256:7136c0f34a8cc066b06b267a49d271aaebbd83ae55c728f63950c16fcc63d34e

Observation 9a6e2cc9-dd51-4f32-8a35-4971d982820c · outbound

This paper cites Unsupervised hard Negative Augmentation for contrastive learning.

Informed Mixing -- Improving Open Set Recognition via Attribution-based Augmentation Unsupervised hard Negative Augmentation for contrastive learning

Reference 2017

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unresolved
no resolver link, observed 2026-08-15T20:31:43.174089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:31:43.174089Z digest=sha256:1f480171bbdeb73b8e1ec6ec1e73e85b61fe97a79df97786c1e91d232916f340

Observation 8a4ac1f6-2b07-4483-9d01-0654c4abb67f · outbound

This paper cites mixup: Beyond Empirical Risk Minimization.

Informed Mixing -- Improving Open Set Recognition via Attribution-based Augmentation mixup: Beyond Empirical Risk Minimization

Reference 2019

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unresolved
no resolver link, observed 2026-08-15T20:31:43.189085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:31:43.189085Z digest=sha256:1679421845371f6b99d0c73c1323db73ae0ca30dda381836bb010c3115c945a7

Observation 9d2ce34d-811b-4584-bceb-01cc3ec6ccf6 · outbound

This paper cites Sparsity Winning Twice: Better Robust Generalization from More Efficient Training.

Informed Mixing -- Improving Open Set Recognition via Attribution-based Augmentation Sparsity Winning Twice: Better Robust Generalization from More Efficient Training

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-15T20:31:43.140140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:31:43.140140Z digest=sha256:8015499e440673019a89bc15134f4bf082329a71ae8298a4044ac92780d3b3f4

Observation 87e4352e-76c8-4410-9118-07b4f3709cc7 · outbound

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

Informed Mixing -- Improving Open Set Recognition via Attribution-based Augmentation Understanding Dimensional Collapse in Contrastive Self-supervised Learning

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-15T20:31:43.155537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:31:43.155537Z digest=sha256:739e0835c17f6a9385d670b32ce45ddc62d74cef197299ce5fbf08c9b1442edd

Observation 218206f0-e7bd-4096-9fe3-6337b28fa44d · outbound

This paper cites Attentive CutMix: An Enhanced Data Augmentation Approach for Deep Learning Based Image Classification.

Informed Mixing -- Improving Open Set Recognition via Attribution-based Augmentation Attentive CutMix: An Enhanced Data Augmentation Approach for Deep Learning Based Image Classification

Reference 2022

Resolution
verified exact
local_arxiv, observed 2026-08-15T20:31:43.263416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T20:31:43.184295Z digest=sha256:8ef0657b4122fa3f75d171cf1400e2fd56ff52f7789eab6858dea27a382ac33f

Observation d11d4ed7-33e7-4088-8591-6291e214b225 · outbound

This paper cites and Carvalho, M.

Informed Mixing -- Improving Open Set Recognition via Attribution-based Augmentation and Carvalho, M

Reference 2024

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:31:43.441361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T20:31:43.160386Z digest=sha256:bebff8cacfd55100f84c8246eeb8e481ae0c5f761d8258d615c0c9e13bcbaaad

Pith citing papers

No inbound Pith citation observations are available.