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Paper Citation Record · LEDGER

Understanding Imbalanced Forgetting in Rehearsal-Based Class-Incremental Learning

As of 18 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 0 inbound Pith citation observations for arXiv:2605.14785.

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

pith.paper-citation-record.v1
2605.14785 v1

Coverage vector

measured 61 of 61 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T21:42:52.275663Z

measured 61 of 61 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

61 of 61 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f367c805-4278-4834-a808-d1ba8dde0d8a · outbound

This paper cites icarl: Incremental classifier and representation learning,.

Understanding Imbalanced Forgetting in Rehearsal-Based Class-Incremental Learning icarl: Incremental classifier and representation learning,

Reference 1

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Observation c9dc7daa-fd01-4f20-a2cb-f52bf5d7d1a8 · outbound

This paper cites McCloskey and N.

Understanding Imbalanced Forgetting in Rehearsal-Based Class-Incremental Learning McCloskey and N

Reference 2

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Observation 98a10c05-b62d-4554-bac8-804b8c215e6d · outbound

This paper cites Connectionist models of recognition memory: constraints imposed by learning and forgetting functions,.

Understanding Imbalanced Forgetting in Rehearsal-Based Class-Incremental Learning Connectionist models of recognition memory: constraints imposed by learning and forgetting functions,

Reference 3

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Observation ba466d54-e101-4b0d-b3fe-33a1399466a6 · outbound

This paper cites An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks.

Understanding Imbalanced Forgetting in Rehearsal-Based Class-Incremental Learning An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks

Reference 4

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Observation 34c2691d-7429-4dfa-a662-2c38d28af3dd · outbound

This paper cites Catastrophic forgetting, rehearsal and pseudorehearsal.

Understanding Imbalanced Forgetting in Rehearsal-Based Class-Incremental Learning Catastrophic forgetting, rehearsal and pseudorehearsal

Reference 5

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This paper cites Why there are complementary learning systems in the hippocampus and neocortex: insights from the successes and failures of connectionist models of learning and memory,.

Understanding Imbalanced Forgetting in Rehearsal-Based Class-Incremental Learning Why there are complementary learning systems in the hippocampus and neocortex: insights from the successes and failures of connectionist models of learning and memory,

Reference 6

Resolution
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Observation 1f9522c5-62c8-4821-8991-8e4d5c37a259 · outbound

This paper cites Hippocampal and neocortical contributions to memory: Advances in the complementary learning systems framework,.

Understanding Imbalanced Forgetting in Rehearsal-Based Class-Incremental Learning Hippocampal and neocortical contributions to memory: Advances in the complementary learning systems framework,

Reference 7

Resolution
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Observation 3e72728e-a0ce-4371-bd8d-3535b7994fbc · outbound

This paper cites Comple- mentary learning systems,.

Understanding Imbalanced Forgetting in Rehearsal-Based Class-Incremental Learning Comple- mentary learning systems,

Reference 8

Resolution
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Observation bc58d7c9-5628-4b36-8910-124ed77dc180 · outbound

This paper cites Defying imbalanced forgetting in class incremental learning,.

Understanding Imbalanced Forgetting in Rehearsal-Based Class-Incremental Learning Defying imbalanced forgetting in class incremental learning,

Reference 9

Resolution
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Observation 69966275-cba2-4cb5-990b-ee3531ee8b78 · outbound

This paper cites Gradient episodic memory for contin- ual learning,.

Understanding Imbalanced Forgetting in Rehearsal-Based Class-Incremental Learning Gradient episodic memory for contin- ual learning,

Reference 10

Resolution
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Observation 86237f5d-c83e-4611-b34a-dcd23c1f1a07 · outbound

This paper cites Ef- ficient lifelong learning with a-gem,.

Understanding Imbalanced Forgetting in Rehearsal-Based Class-Incremental Learning Ef- ficient lifelong learning with a-gem,

Reference 11

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Observation c8e01a83-c34d-4c92-b264-c57645819529 · outbound

This paper cites Anatomy of Catastrophic Forgetting: Hidden Representations and Task Semantics.

Understanding Imbalanced Forgetting in Rehearsal-Based Class-Incremental Learning Anatomy of Catastrophic Forgetting: Hidden Representations and Task Semantics

Reference 12

Resolution
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Observation 3ec23f9b-131b-4c2e-a818-ad182ffafae9 · outbound

This paper cites Maintaining dis- crimination and fairness in class incremental learning,.

Understanding Imbalanced Forgetting in Rehearsal-Based Class-Incremental Learning Maintaining dis- crimination and fairness in class incremental learning,

Reference 13

Resolution
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Observation 492ab280-08fb-4127-b538-db7bb5f01868 · outbound

This paper cites Large scale incremental learning,.

Understanding Imbalanced Forgetting in Rehearsal-Based Class-Incremental Learning Large scale incremental learning,

Reference 14

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Observation ee21c257-b6cf-4934-81a5-f34cc2dca2e0 · outbound

This paper cites Ss- il: Separated softmax for incremental learning,.

Understanding Imbalanced Forgetting in Rehearsal-Based Class-Incremental Learning Ss- il: Separated softmax for incremental learning,

Reference 15

Resolution
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Observation 5a5b760e-7fd9-4650-b33e-21995493b9f5 · outbound

This paper cites Scail: Classifier weights scaling for class incremental learning,.

Understanding Imbalanced Forgetting in Rehearsal-Based Class-Incremental Learning Scail: Classifier weights scaling for class incremental learning,

Reference 16

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Observation 64679149-ae83-428e-8778-76a9c301a4a7 · outbound

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

Understanding Imbalanced Forgetting in Rehearsal-Based Class-Incremental Learning Learning multiple layers of features from tiny images

Reference 17

Resolution
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Observation c40149f3-d2b4-42f4-83dd-df6db099a500 · outbound

This paper cites Theory on forgetting and generalization of continual learning,.

Understanding Imbalanced Forgetting in Rehearsal-Based Class-Incremental Learning Theory on forgetting and generalization of continual learning,

Reference 18

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Observation 131fbea6-20b6-4425-8815-f3d3d6d996b8 · outbound

This paper cites Optimal task order for continual learning of multiple tasks,.

Understanding Imbalanced Forgetting in Rehearsal-Based Class-Incremental Learning Optimal task order for continual learning of multiple tasks,

Reference 19

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Observation 078e659a-3005-4ec9-97fb-c5adfe343c66 · outbound

This paper cites Tiny imagenet visual recognition challenge.

Understanding Imbalanced Forgetting in Rehearsal-Based Class-Incremental Learning Tiny imagenet visual recognition challenge

Reference 20

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Observation 8fa05cf4-9f6e-4916-ba3c-886b5f7bd655 · outbound

This paper cites Rehearsal revealed: The limits and merits of revisiting samples in continual learning,.

Understanding Imbalanced Forgetting in Rehearsal-Based Class-Incremental Learning Rehearsal revealed: The limits and merits of revisiting samples in continual learning,

Reference 21

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Observation 5931153c-f167-4716-930b-927c7b802b04 · outbound

This paper cites Multi-layer re- hearsal feature augmentation for class-incremental learning,.

Understanding Imbalanced Forgetting in Rehearsal-Based Class-Incremental Learning Multi-layer re- hearsal feature augmentation for class-incremental learning,

Reference 22

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Observation a24aeb26-6010-43eb-a68b-320df106e037 · outbound

This paper cites Improved sample complexities for deep neural networks and robust classification via an all-layer margin,.

Understanding Imbalanced Forgetting in Rehearsal-Based Class-Incremental Learning Improved sample complexities for deep neural networks and robust classification via an all-layer margin,

Reference 23

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Observation 88938958-e1bb-4a85-baaa-2e5c823666dd · outbound

This paper cites New insights on reducing abrupt representation change in online continual learning,.

Understanding Imbalanced Forgetting in Rehearsal-Based Class-Incremental Learning New insights on reducing abrupt representation change in online continual learning,

Reference 24

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Observation 0f7fb242-dc42-4514-a373-1476afd285f8 · outbound

This paper cites Continual learning by modeling intra-class variation,.

Understanding Imbalanced Forgetting in Rehearsal-Based Class-Incremental Learning Continual learning by modeling intra-class variation,

Reference 25

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Observation 04fd31f1-cfe3-40c1-a922-c2e5f81b7856 · outbound

This paper cites Continual learning in the teacher-student setup: Impact of task similarity,.

Understanding Imbalanced Forgetting in Rehearsal-Based Class-Incremental Learning Continual learning in the teacher-student setup: Impact of task similarity,

Reference 26

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Observation bc072824-e904-4741-885f-d08f1057d69a · outbound

This paper cites The joint effect of task similarity and overparameterization on catastrophic forgetting–an analytical model,.

Understanding Imbalanced Forgetting in Rehearsal-Based Class-Incremental Learning The joint effect of task similarity and overparameterization on catastrophic forgetting–an analytical model,

Reference 27

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Observation 0e54b0c5-7baf-46a9-b4e3-bc83756a69f1 · outbound

This paper cites How catastrophic can catastrophic forgetting be in linear regression?.

Understanding Imbalanced Forgetting in Rehearsal-Based Class-Incremental Learning How catastrophic can catastrophic forgetting be in linear regression?

Reference 28

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Source-reported events for the cited work

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This paper cites End-to-end incremental learning,.

Understanding Imbalanced Forgetting in Rehearsal-Based Class-Incremental Learning End-to-end incremental learning,

Reference 29

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Observation e4324246-67bf-4583-907d-ed414eb55562 · outbound

This paper cites SIESTA: Efficient Online Continual Learning with Sleep.

Understanding Imbalanced Forgetting in Rehearsal-Based Class-Incremental Learning SIESTA: Efficient Online Continual Learning with Sleep

Reference 30

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Observation d1f8aa28-4b9a-4082-a303-297626ee2604 · outbound

This paper cites Gra- dient surgery for multi-task learning.

Understanding Imbalanced Forgetting in Rehearsal-Based Class-Incremental Learning Gra- dient surgery for multi-task learning

Reference 31

Resolution
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Source-reported events for the cited work

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Observation 1f377629-0c38-4de9-9792-892c3499d38b · outbound

This paper cites Stochastic first-and zeroth-order methods for nonconvex stochastic programming.

Understanding Imbalanced Forgetting in Rehearsal-Based Class-Incremental Learning Stochastic first-and zeroth-order methods for nonconvex stochastic programming

Reference 32

Resolution
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Source-reported events for the cited work

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Observation aaf9a785-ce37-43e4-b623-89665800e8eb · outbound

This paper cites Class-incremental learning: A survey,.

Understanding Imbalanced Forgetting in Rehearsal-Based Class-Incremental Learning Class-incremental learning: A survey,

Reference 33

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 11bb90a7-88d8-4107-8ca9-5f37b1f56d45 · outbound

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

Understanding Imbalanced Forgetting in Rehearsal-Based Class-Incremental Learning Imagenet: A large-scale hierarchical image database,

Reference 34

Resolution
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raw_fallback, observed 2026-07-07T16:13:58.833944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T21:42:52.275663Z digest=sha256:228a6805954d881a023a534b252de169716ad7bbdfec22ebc33a3973a0e14cd8

Observation df1a1ad7-2baf-4d88-9f41-848bf1979130 · outbound

This paper cites Deep residual learning for image recognition,.

Understanding Imbalanced Forgetting in Rehearsal-Based Class-Incremental Learning Deep residual learning for image recognition,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T16:13:58.835637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T21:42:52.275663Z digest=sha256:c1bded3fa3637135f77f14b1b0adecf2b4cfd01471780e727b5d641614482417

Observation 0fd710eb-9dee-48cc-8a8b-9d0b3317d768 · outbound

This paper cites Gelman and J.

Understanding Imbalanced Forgetting in Rehearsal-Based Class-Incremental Learning Gelman and J

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T16:13:58.839100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T21:42:52.275663Z digest=sha256:481f85d228eefc00b299cf5d605441cbf44ce3edad7e438a7a3c6509a2adbac9

Observation e5edf8be-e020-4dda-94fa-308bddadba03 · outbound

This paper cites Memory-efficient incremental learning through feature adaptation,.

Understanding Imbalanced Forgetting in Rehearsal-Based Class-Incremental Learning Memory-efficient incremental learning through feature adaptation,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T16:13:58.825228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T21:42:52.275663Z digest=sha256:85db6be15dfcf865e34acd63d53fd335ebd7c59ee7173e718935a39d3e4feed7

Observation d465dc2b-620c-422d-bc7a-4c54962296bf · outbound

This paper cites Memory-efficient class- incremental learning for image classification,.

Understanding Imbalanced Forgetting in Rehearsal-Based Class-Incremental Learning Memory-efficient class- incremental learning for image classification,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T16:13:58.827008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T21:42:52.275663Z digest=sha256:eedfcedf09014b5a654751130b483b04794a3d1a64cb164b75caa2d7a139be07

Observation 88d36883-ba27-4c5f-9d21-be40ed172722 · outbound

This paper cites Continual learning with deep generative replay,.

Understanding Imbalanced Forgetting in Rehearsal-Based Class-Incremental Learning Continual learning with deep generative replay,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T16:13:58.828664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T21:42:52.275663Z digest=sha256:c424c8bb38dda7b1365bd7c284c623391ca239f86d1348904411dde606311676

Observation 492672ce-2000-4df0-badb-4a73bfa4c103 · outbound

This paper cites Learning to remember: A synaptic plasticity driven framework for continual learning,.

Understanding Imbalanced Forgetting in Rehearsal-Based Class-Incremental Learning Learning to remember: A synaptic plasticity driven framework for continual learning,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T16:13:58.830435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T21:42:52.275663Z digest=sha256:b01399c02a659b7389ca8cb4bc338c359a48c02807351a734ee147285af30cdf

Observation a11c67c6-87f5-49f7-819e-6a692d7407ef · outbound

This paper cites Ib-drr-incremental learning with information-back discrete representation replay,.

Understanding Imbalanced Forgetting in Rehearsal-Based Class-Incremental Learning Ib-drr-incremental learning with information-back discrete representation replay,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T16:13:58.840898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T21:42:52.275663Z digest=sha256:5ffc7ccd41cd5dee1c1793701237b479e06a2387ff0dbc0ebf152c1dec3fd360

Observation b251a8b7-59bb-40b7-a42e-39f504f2e7b6 · outbound

This paper cites Class-incremental learn- ing using diffusion model for distillation and replay,.

Understanding Imbalanced Forgetting in Rehearsal-Based Class-Incremental Learning Class-incremental learn- ing using diffusion model for distillation and replay,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T16:13:58.844578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T21:42:52.275663Z digest=sha256:7bb056abdd4ccdaf8713af7b3e7e5d4006da85b36f0aa30a36a2e26783c44cd1

Observation 153866aa-eff0-4ebc-8a44-3faa033cd131 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Understanding Imbalanced Forgetting in Rehearsal-Based Class-Incremental Learning Distilling the Knowledge in a Neural Network

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-06-30T21:45:05.662471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T21:42:52.275663Z digest=sha256:a82332c0a18087ffa7b23bf96af831b50e8429bf00c918b33833cbaa49b53e3a

Observation b76d4039-3dc3-422a-9cb2-191cac194cb0 · outbound

This paper cites Learning without forgetting.

Understanding Imbalanced Forgetting in Rehearsal-Based Class-Incremental Learning Learning without forgetting

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T16:13:58.878564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T21:42:52.275663Z digest=sha256:5ac67e60f6d0d7c810b7087976df3b6c6f17934e402b9d138888d3ee43c2f6d3

Observation c3b858c8-9bf1-42f7-b582-d5d496222dbb · outbound

This paper cites Learning a unified classifier incrementally via rebalancing,.

Understanding Imbalanced Forgetting in Rehearsal-Based Class-Incremental Learning Learning a unified classifier incrementally via rebalancing,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T16:13:58.823507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T21:42:52.275663Z digest=sha256:2c5e567278660cd57d4a4891946d4e39d5081eea941f99d65163a58fae91d770

Observation 09ba66be-21e8-43c5-b7b0-97cb30d23fd2 · outbound

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

Understanding Imbalanced Forgetting in Rehearsal-Based Class-Incremental Learning Dark experience for general continual learning: a strong, simple baseline

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T16:13:58.816380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T21:42:52.275663Z digest=sha256:9d40e382e731f7dbb01b37da98d44e6be94b4b0cc848b7c405621c2497a104c2

Observation c5b96bd1-0de5-4d1c-9cb6-f86094cd88bb · outbound

This paper cites Der: Dynamically expandable representation for class incremental learning,.

Understanding Imbalanced Forgetting in Rehearsal-Based Class-Incremental Learning Der: Dynamically expandable representation for class incremental learning,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T16:13:58.819959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T21:42:52.275663Z digest=sha256:7f2549686c38e742119249b8c2091862f8acca4472eec1a4fd2341af8a5cf624

Observation 8c255a19-c847-4555-942f-45395fd30b48 · outbound

This paper cites Foster: Feature boosting and compression for class-incremental learning,.

Understanding Imbalanced Forgetting in Rehearsal-Based Class-Incremental Learning Foster: Feature boosting and compression for class-incremental learning,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T16:13:58.818167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T21:42:52.275663Z digest=sha256:106e0e3109aac8804e7b544679aa553a08407b1dd7fbff01e89501519ac1da77

Observation 26ddc775-e153-4a93-b543-f839cb31685a · outbound

This paper cites A model or 603 exemplars: Towards memory-efficient class-incremental learning,.

Understanding Imbalanced Forgetting in Rehearsal-Based Class-Incremental Learning A model or 603 exemplars: Towards memory-efficient class-incremental learning,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T16:13:58.785587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T21:42:52.275663Z digest=sha256:9cdc6f54f0258acf484ab5c93e805c355223ac349adf2e107022d5b7cd40d362

Observation 08ca354a-b181-461d-9bad-091731b7213e · outbound

This paper cites Riemannian walk for incremental learning: Understanding forgetting and intransi- gence,.

Understanding Imbalanced Forgetting in Rehearsal-Based Class-Incremental Learning Riemannian walk for incremental learning: Understanding forgetting and intransi- gence,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T16:13:58.792935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T21:42:52.275663Z digest=sha256:ad76330e3f6e49a69d8111fb738808323177c570a2a3ee07b39c5fa6cf7962f8

Observation c805fc42-a5a7-45e0-a7f3-2bc652de4cf4 · outbound

This paper cites Rainbow memory: Continual learning with a memory of diverse samples,.

Understanding Imbalanced Forgetting in Rehearsal-Based Class-Incremental Learning Rainbow memory: Continual learning with a memory of diverse samples,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T16:13:58.780001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T21:42:52.275663Z digest=sha256:d25d6540eda03a050d5a811458002641375ed4aa049c5cb0edbdc7c3e4f5ec97

Observation f46adb8a-02ef-40b3-92eb-9aeeb7be9d7f · outbound

This paper cites Gradient based sample selection for online continual learning.

Understanding Imbalanced Forgetting in Rehearsal-Based Class-Incremental Learning Gradient based sample selection for online continual learning

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T16:13:58.796669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T21:42:52.275663Z digest=sha256:eaf9935cb1a5ede25f4ffc1b111792cbdcd53d14163f5001a4056fc8329e04db

Observation f77adf15-1f5d-4737-9291-fe4793ab190a · outbound

This paper cites Introduction to Core-sets: an Updated Survey.

Understanding Imbalanced Forgetting in Rehearsal-Based Class-Incremental Learning Introduction to Core-sets: an Updated Survey

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-06-30T21:45:05.660141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T21:42:52.275663Z digest=sha256:b44375cf69c3b8a7e8eb92b135b66db4abdc1a424317c42d3e56fee5192a0ec0

Observation b5caae26-abf9-4a20-aa8a-c9a5864caff9 · outbound

This paper cites Gcr: Gradient coreset based replay buffer selection for continual learning,.

Understanding Imbalanced Forgetting in Rehearsal-Based Class-Incremental Learning Gcr: Gradient coreset based replay buffer selection for continual learning,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T16:13:58.821719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T21:42:52.275663Z digest=sha256:06d670f4b7ba323c37ea0db3817d56a63f5deaad0fb610a11ac990414c3a8fab

Observation 1b2ace31-0eb6-48ed-8ee0-8eea13c8c27e · outbound

This paper cites An Empirical Study of Example Forgetting during Deep Neural Network Learning.

Understanding Imbalanced Forgetting in Rehearsal-Based Class-Incremental Learning An Empirical Study of Example Forgetting during Deep Neural Network Learning

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-06-30T21:45:05.657206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T21:42:52.275663Z digest=sha256:1f9c11f1cd4ff4b46835e34394afe93948bbc23a8042f8b8527e324da1a10530

Observation f2f74a30-c438-443d-9c7c-54809bb5898a · outbound

This paper cites Example forgetting and rehearsal in continual learning,.

Understanding Imbalanced Forgetting in Rehearsal-Based Class-Incremental Learning Example forgetting and rehearsal in continual learning,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T16:13:58.803667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T21:42:52.275663Z digest=sha256:59aae31e642fe38f4bf437d5f027d1a677a8156ddf74867c980581fff053ff29

Observation 4d20d47d-0348-41f2-a25f-f6b0b028927d · outbound

This paper cites Coresets via bilevel optimization for continual learning and streaming,.

Understanding Imbalanced Forgetting in Rehearsal-Based Class-Incremental Learning Coresets via bilevel optimization for continual learning and streaming,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T16:13:58.810565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T21:42:52.275663Z digest=sha256:4ac0ef525d8829262c89d8842ad3bc88f9c2d470d2ce19e32527bfa2c1e1fee6

Observation 29931614-f097-48c6-b631-b52ef6eef0ed · outbound

This paper cites Sgdr: Stochastic gradient descent with warm restarts,.

Understanding Imbalanced Forgetting in Rehearsal-Based Class-Incremental Learning Sgdr: Stochastic gradient descent with warm restarts,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T16:13:58.798445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T21:42:52.275663Z digest=sha256:41eda8b884b58ad20d7a7f7fd78a4ca85845d4cb10f08f1a499c8a47d009cd5d

Observation a8e1f9b9-0395-4bae-80da-0634c58b9977 · outbound

This paper cites Better bootstrap confidence intervals,.

Understanding Imbalanced Forgetting in Rehearsal-Based Class-Incremental Learning Better bootstrap confidence intervals,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T16:13:58.800159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T21:42:52.275663Z digest=sha256:cc586f2d5030b3a79119d23048b98ea09187a45e10d291b2f9c300504e852f9d

Observation e8f4bb9b-b0c9-4110-802b-d2e52a85045c · outbound

This paper cites Some heteroskedasticity-consistent covariance matrix estimators with improved finite sample properties,.

Understanding Imbalanced Forgetting in Rehearsal-Based Class-Incremental Learning Some heteroskedasticity-consistent covariance matrix estimators with improved finite sample properties,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T16:13:58.802012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T21:42:52.275663Z digest=sha256:ea1083b435d3b0e67f26bffb96f774e59b3410e89b6390592ad2173ee1084a8a

Observation c7f3377a-4d9f-4528-955e-62ed5ca275c1 · outbound

This paper cites FOSTER [48] improves ef- ficiency by employing a model compression process based on knowledge distillation [43].

Understanding Imbalanced Forgetting in Rehearsal-Based Class-Incremental Learning FOSTER [48] improves ef- ficiency by employing a model compression process based on knowledge distillation [43]

Reference 61

Resolution
malformed identifier
raw_fallback, observed 2026-07-07T16:13:58.812738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T21:42:52.275663Z digest=sha256:9a9012362bc72a3405b9696f948cab3deb63a5f113914b84475abfef184c80af

Pith citing papers

No inbound Pith citation observations are available.