Paper Citation Record · LEDGER

Empirical Evidences for the Effects of Feature Diversity in Open Set Recognition and Continual Learning

As of 7 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2508.13005.

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

pith.paper-citation-record.v1
2508.13005 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T19:15:34.756343Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

46 of 46 outbound references displayed

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verified fuzzy0
unresolved46
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External citation measurements

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Outbound references

Observation ac27ed92-a653-40d4-9396-223e66cce63e · outbound

This paper cites Memory aware synapses: Learning what (not) to forget.

Empirical Evidences for the Effects of Feature Diversity in Open Set Recognition and Continual Learning Memory aware synapses: Learning what (not) to forget

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-05T19:15:31.713622Z

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Observation 6053a0f2-6646-447d-9c14-289cd446c137 · outbound

This paper cites Make continual learning stronger via c-flat.

Empirical Evidences for the Effects of Feature Diversity in Open Set Recognition and Continual Learning Make continual learning stronger via c-flat

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-05T19:15:31.721778Z

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Observation 83b0ac65-1e94-4b16-839e-2a8a5d03253f · outbound

This paper cites Semi- supervised novelty detection.The Journal of Machine Learn- ing Research, 11:2973–3009, 2010.

Empirical Evidences for the Effects of Feature Diversity in Open Set Recognition and Continual Learning Semi- supervised novelty detection.The Journal of Machine Learn- ing Research, 11:2973–3009, 2010

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-05T19:15:31.730172Z

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Observation 34acb235-0773-4e25-a8c6-51363fcac204 · outbound

This paper cites Dark experience for general continual learning: a strong, simple baseline.

Empirical Evidences for the Effects of Feature Diversity in Open Set Recognition and Continual Learning Dark experience for general continual learning: a strong, simple baseline

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-05T19:15:31.735711Z

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Observation 7e6204ca-9863-4d4b-ac8c-dc642f2fdc17 · outbound

This paper cites Open-set recognition with gaussian mixture variational autoencoders.

Empirical Evidences for the Effects of Feature Diversity in Open Set Recognition and Continual Learning Open-set recognition with gaussian mixture variational autoencoders

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T19:15:31.743307Z

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Observation 5c9d892f-e85e-45e5-9426-a085bbae92c0 · outbound

This paper cites On measuring the distance between histograms.

Empirical Evidences for the Effects of Feature Diversity in Open Set Recognition and Continual Learning On measuring the distance between histograms

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T19:15:31.752408Z

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Observation 23bb8d77-ed16-41b7-8880-12d485bda701 · outbound

This paper cites Novelty Detection via Contrastive Learning with Negative Data Augmentation.

Empirical Evidences for the Effects of Feature Diversity in Open Set Recognition and Continual Learning Novelty Detection via Contrastive Learning with Negative Data Augmentation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T19:15:31.766963Z

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Observation 2063f6a4-d868-4c66-adf3-33a9eee897c3 · outbound

This paper cites Learning open set network with discriminative reciprocal points.

Empirical Evidences for the Effects of Feature Diversity in Open Set Recognition and Continual Learning Learning open set network with discriminative reciprocal points

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T19:15:31.775035Z

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Observation 6dc50562-da45-4ec3-8893-c6d58b5c7797 · outbound

This paper cites Is forgetting less a good inductive bias for forward transfer?.

Empirical Evidences for the Effects of Feature Diversity in Open Set Recognition and Continual Learning Is forgetting less a good inductive bias for forward transfer?

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T19:15:31.786795Z

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Observation b2216ef0-cc0e-4328-8193-81a520bddcf4 · outbound

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

Empirical Evidences for the Effects of Feature Diversity in Open Set Recognition and Continual Learning Imagenet: A large-scale hierarchical im- age database

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T19:15:31.807160Z

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Observation 2420c93c-5446-4dce-8a52-ba67db2ad804 · outbound

This paper cites Reducing network agnostophobia.

Empirical Evidences for the Effects of Feature Diversity in Open Set Recognition and Continual Learning Reducing network agnostophobia

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T19:15:31.839094Z

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Observation 974f2f13-12c3-4fa0-9eda-6f54d9c2bd04 · outbound

This paper cites Re- visiting deep ensemble for out-of-distribution detection: A loss landscape perspective.

Empirical Evidences for the Effects of Feature Diversity in Open Set Recognition and Continual Learning Re- visiting deep ensemble for out-of-distribution detection: A loss landscape perspective

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T19:15:31.844492Z

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Observation 8eccccf8-594e-48e7-b0b3-ec702fba8e3e · outbound

This paper cites Gen- erative openmax for multi-class open set classification.

Empirical Evidences for the Effects of Feature Diversity in Open Set Recognition and Continual Learning Gen- erative openmax for multi-class open set classification

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T19:15:31.853966Z

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Observation 58cd43b7-c19c-44f0-b5dc-632e43b104a3 · outbound

This paper cites Imagenet-trained cnns are biased towards texture; increasing shape bias improves accuracy and robustness.

Empirical Evidences for the Effects of Feature Diversity in Open Set Recognition and Continual Learning Imagenet-trained cnns are biased towards texture; increasing shape bias improves accuracy and robustness

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T19:15:31.863135Z

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Observation c7d64894-8bb3-49cf-b61f-d88df431a02f · outbound

This paper cites Learning a neural- network-based representation for open set recognition.

Empirical Evidences for the Effects of Feature Diversity in Open Set Recognition and Continual Learning Learning a neural- network-based representation for open set recognition

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T19:15:31.876780Z

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Observation 9f989af2-d131-4226-9973-3fabc1035774 · outbound

This paper cites Learning a unified classifier incrementally via rebalancing.

Empirical Evidences for the Effects of Feature Diversity in Open Set Recognition and Continual Learning Learning a unified classifier incrementally via rebalancing

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T19:15:31.887044Z

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Observation 65c20935-d075-4de1-b281-bcca7d7ff7c1 · outbound

This paper cites Overcoming catastrophic forgetting for continual learning via model adaptation.

Empirical Evidences for the Effects of Feature Diversity in Open Set Recognition and Continual Learning Overcoming catastrophic forgetting for continual learning via model adaptation

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-05T19:15:31.967123Z

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Observation 30b42798-63d9-4457-a948-9040d20dbbe4 · outbound

This paper cites Compacting, picking and growing for unforgetting continual learning.Ad- vances in neural information processing systems , 32, 2019.

Empirical Evidences for the Effects of Feature Diversity in Open Set Recognition and Continual Learning Compacting, picking and growing for unforgetting continual learning.Ad- vances in neural information processing systems , 32, 2019

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-05T19:15:32.125401Z

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Observation f562e911-e054-4829-9fd6-9eabb53f6048 · outbound

This paper cites Class- incremental learning by knowledge distillation with adaptive feature consolidation.

Empirical Evidences for the Effects of Feature Diversity in Open Set Recognition and Continual Learning Class- incremental learning by knowledge distillation with adaptive feature consolidation

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T19:15:32.216495Z

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Observation 2684ecff-71bf-43dd-963a-6d685674f43b · outbound

This paper cites Large-scale video classification with convolutional neural networks.

Empirical Evidences for the Effects of Feature Diversity in Open Set Recognition and Continual Learning Large-scale video classification with convolutional neural networks

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-05T19:15:32.347090Z

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Observation f59cc104-eeb8-484d-a9e9-d9560a955c40 · outbound

This paper cites Overcoming catastrophic forgetting in neu- ral networks.

Empirical Evidences for the Effects of Feature Diversity in Open Set Recognition and Continual Learning Overcoming catastrophic forgetting in neu- ral networks

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T19:15:32.439277Z

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Observation bfdd6082-6da8-475b-bcab-44da84cbfba3 · outbound

This paper cites Similarity of neural network represen- tations revisited.

Empirical Evidences for the Effects of Feature Diversity in Open Set Recognition and Continual Learning Similarity of neural network represen- tations revisited

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T19:15:32.449529Z

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Observation 86eae241-e3fd-4b53-838b-551341760df3 · outbound

This paper cites A simple unified framework for detecting out-of-distribution samples and adversarial attacks.

Empirical Evidences for the Effects of Feature Diversity in Open Set Recognition and Continual Learning A simple unified framework for detecting out-of-distribution samples and adversarial attacks

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-05T19:15:32.475877Z

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Observation d4d39c2c-5a3d-4d41-9de5-41ce249b5e8c · outbound

This paper cites Applications of machine learning to machine fault diagnosis: A review and roadmap.Mechanical Systems and Signal Processing, 138:106587, 2020.

Empirical Evidences for the Effects of Feature Diversity in Open Set Recognition and Continual Learning Applications of machine learning to machine fault diagnosis: A review and roadmap.Mechanical Systems and Signal Processing, 138:106587, 2020

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T19:15:32.530055Z

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Observation 5612c863-0ecd-4de3-b74c-21e1040ec7b3 · outbound

This paper cites Con- trastive continual learning with importance sampling and prototype-instance relation distillation.

Empirical Evidences for the Effects of Feature Diversity in Open Set Recognition and Continual Learning Con- trastive continual learning with importance sampling and prototype-instance relation distillation

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-05T19:15:32.618018Z

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Observation 7fb4aa18-a42a-4543-af60-bd3277cd52fe · outbound

This paper cites Learn to grow: A continual structure learn- ing framework for overcoming catastrophic forgetting.

Empirical Evidences for the Effects of Feature Diversity in Open Set Recognition and Continual Learning Learn to grow: A continual structure learn- ing framework for overcoming catastrophic forgetting

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-05T19:15:32.696604Z

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Observation f07fe84f-d4dc-4314-9170-e39a8671b10f · outbound

This paper cites Provable and Efficient Continual Representation Learning.

Empirical Evidences for the Effects of Feature Diversity in Open Set Recognition and Continual Learning Provable and Efficient Continual Representation Learning

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-05T19:15:32.795084Z

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Observation b608b856-d9c4-49bb-b010-feab18a3b612 · outbound

This paper cites Learning without forgetting.

Empirical Evidences for the Effects of Feature Diversity in Open Set Recognition and Continual Learning Learning without forgetting

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-05T19:15:32.860945Z

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Observation bac1d0c8-3f29-4f96-9846-ddc1655702aa · outbound

This paper cites Few-shot open-set recognition using meta- learning.

Empirical Evidences for the Effects of Feature Diversity in Open Set Recognition and Continual Learning Few-shot open-set recognition using meta- learning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-05T19:15:32.929986Z

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Observation d4973f6c-44d7-438d-87e6-798ca2b247ea · outbound

This paper cites Catastrophic inter- ference in connectionist networks: The sequential learning problem.

Empirical Evidences for the Effects of Feature Diversity in Open Set Recognition and Continual Learning Catastrophic inter- ference in connectionist networks: The sequential learning problem

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-05T19:15:32.987518Z

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Observation 22c4f889-ca1b-4f9c-ac9f-32b186d1c635 · outbound

This paper cites Class anchor clustering: A loss for distance- based open set recognition.

Empirical Evidences for the Effects of Feature Diversity in Open Set Recognition and Continual Learning Class anchor clustering: A loss for distance- based open set recognition

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-05T19:15:33.055849Z

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Observation 830929ec-8477-4a67-aa6b-e59b482f9706 · outbound

This paper cites Open set learning with counterfac- tual images.

Empirical Evidences for the Effects of Feature Diversity in Open Set Recognition and Continual Learning Open set learning with counterfac- tual images

Reference 32

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Observation fefe1c77-3297-40fb-a0b7-cb2473502b15 · outbound

This paper cites C2ae: Class conditioned auto-encoder for open-set recognition.

Empirical Evidences for the Effects of Feature Diversity in Open Set Recognition and Continual Learning C2ae: Class conditioned auto-encoder for open-set recognition

Reference 33

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Observation f4a2b5a0-1472-4b20-92b6-c4dca41c26f5 · outbound

This paper cites Generative-discriminative feature representations for open-set recognition.

Empirical Evidences for the Effects of Feature Diversity in Open Set Recognition and Continual Learning Generative-discriminative feature representations for open-set recognition

Reference 34

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Observation c9b53f35-e275-470d-a9d0-89c2513ee58c · outbound

This paper cites A review of novelty detection.

Empirical Evidences for the Effects of Feature Diversity in Open Set Recognition and Continual Learning A review of novelty detection

Reference 35

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Observation b0db3ab7-0720-490f-9289-20808c165084 · outbound

This paper cites icarl: Incremental classifier and representation learning.

Empirical Evidences for the Effects of Feature Diversity in Open Set Recognition and Continual Learning icarl: Incremental classifier and representation learning

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-05T19:15:33.604191Z

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Observation 39103b68-5dae-4686-a3bf-228b40113c77 · outbound

This paper cites Overcoming catastrophic forgetting with hard attention to the task.

Empirical Evidences for the Effects of Feature Diversity in Open Set Recognition and Continual Learning Overcoming catastrophic forgetting with hard attention to the task

Reference 37

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Observation d3ff99ed-789b-4a47-a1a8-487758aaba94 · outbound

This paper cites Assessing The Importance Of Colours For CNNs In Object Recognition.

Empirical Evidences for the Effects of Feature Diversity in Open Set Recognition and Continual Learning Assessing The Importance Of Colours For CNNs In Object Recognition

Reference 38

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Observation 8c8a2993-bc7b-49bf-9754-b62244c717ef · outbound

This paper cites Dice: Leveraging sparsification for out-of-distribution detection.

Empirical Evidences for the Effects of Feature Diversity in Open Set Recognition and Continual Learning Dice: Leveraging sparsification for out-of-distribution detection

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-05T19:15:33.847638Z

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Observation 431fcf62-ce39-44b3-9e13-e2360b3d8380 · outbound

This paper cites Ex- ploring diverse representations for open set recognition.

Empirical Evidences for the Effects of Feature Diversity in Open Set Recognition and Continual Learning Ex- ploring diverse representations for open set recognition

Reference 40

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Observation 6cecf683-9941-4900-8af5-05a593c8f484 · outbound

This paper cites Learning to prompt for con- tinual learning.

Empirical Evidences for the Effects of Feature Diversity in Open Set Recognition and Continual Learning Learning to prompt for con- tinual learning

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-05T19:15:34.136528Z

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Observation 67347c73-2450-45d6-bb15-61955621cc10 · outbound

This paper cites Openincre- ment: A unified framework for open set recognition and deep class-incremental learning.

Empirical Evidences for the Effects of Feature Diversity in Open Set Recognition and Continual Learning Openincre- ment: A unified framework for open set recognition and deep class-incremental learning

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-05T19:15:34.287543Z

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Observation 1e9be925-db1f-44a4-b081-43ab79ff7e74 · outbound

This paper cites Convolutional prototype network for open set recognition.

Empirical Evidences for the Effects of Feature Diversity in Open Set Recognition and Continual Learning Convolutional prototype network for open set recognition

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-05T19:15:34.429083Z

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Observation 9a3fb17a-0ff4-40eb-af8f-db08f36aea7a · outbound

This paper cites Openood: Benchmarking generalized out-of-distribution detection.

Empirical Evidences for the Effects of Feature Diversity in Open Set Recognition and Continual Learning Openood: Benchmarking generalized out-of-distribution detection

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-05T19:15:34.548532Z

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Observation ec4a5563-5f3a-43d6-910b-7210e2b20040 · outbound

This paper cites Generalized out-of-distribution detection: A survey.

Empirical Evidences for the Effects of Feature Diversity in Open Set Recognition and Continual Learning Generalized out-of-distribution detection: A survey

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-05T19:15:34.648742Z

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Observation 1dfa7e1c-0273-4bf4-811b-3457607dac35 · outbound

This paper cites Classification- reconstruction learning for open-set recognition.

Empirical Evidences for the Effects of Feature Diversity in Open Set Recognition and Continual Learning Classification- reconstruction learning for open-set recognition

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-05T19:15:34.756343Z

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Pith citing papers

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