Paper Citation Record · LEDGER

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning

As of 7 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 3 inbound Pith citation observations for arXiv:2505.24816.

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

pith.paper-citation-record.v1
2505.24816 v1

Coverage vector

measured 63 of 63 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:21:40.773466Z

measured 66 of 66 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T09:27:51.990433Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-06-30T06:34:19.440445Z

Reference resolution

63 of 63 outbound references displayed

verified exact3
verified fuzzy49
unresolved11
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4bfdee9e-a843-47d9-9c9e-9c6282cc1c17 · outbound

This paper cites Il2m: Class incremen- tal learning with dual memory.

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning Il2m: Class incremen- tal learning with dual memory

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:21:52.648107Z

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Observation 64ab3b94-9232-4c66-b214-7768d9676325 · outbound

This paper cites Class-incremental continual learning into the extended der-verse.

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning Class-incremental continual learning into the extended der-verse

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:21:52.317010Z

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Observation 47a0e741-1533-45b9-980e-7c74d0d03b63 · outbound

This paper cites Dark experience for gen- eral continual learning: a strong, simple baseline.

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning Dark experience for gen- eral continual learning: a strong, simple baseline

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:21:52.113901Z

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Observation 65f1602f-151e-4230-86f6-dc6730e61019 · outbound

This paper cites Castro, Manuel J.

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning Castro, Manuel J

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:21:51.801590Z

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Observation 79644ca1-a774-4226-bf7e-24ac3a413d63 · outbound

This paper cites Efficient Lifelong Learning with A-GEM.

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning Efficient Lifelong Learning with A-GEM

Reference 5

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Observation 439d56bd-e82c-4d47-a696-1ec8e330ee84 · outbound

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

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning Imagenet: A large-scale hierarchical image database

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:21:51.586353Z

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Observation 6faeb272-1f7a-4df9-bb0f-a34c14b50c76 · outbound

This paper cites Loss of plasticity in deep continual learning.

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning Loss of plasticity in deep continual learning

Reference 7

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Observation 640581f6-d3f8-4f0a-b42b-e41539d68d89 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning An image is worth 16x16 words: Transformers for image recognition at scale

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:21:50.975351Z

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Observation 6d55fffa-4c3d-4a6b-b96a-529f65f1d227 · outbound

This paper cites Podnet: Pooled outputs distilla- tion for small-tasks incremental learning.

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning Podnet: Pooled outputs distilla- tion for small-tasks incremental learning

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:21:50.693413Z

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Observation c4c67e17-ed79-4e4c-94ed-a60896011cf5 · outbound

This paper cites A unified continual learning framework with general parameter-efficient tuning.

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning A unified continual learning framework with general parameter-efficient tuning

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:21:50.392091Z

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Observation 4b922699-a6e3-414a-ab49-061368608c46 · outbound

This paper cites Beyond prompt learning: Continual adapter for efficient rehearsal-free continual learning.

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning Beyond prompt learning: Continual adapter for efficient rehearsal-free continual learning

Reference 11

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Observation f7e5fa94-27f0-44c3-bf4c-04d582cdfd72 · outbound

This paper cites Pilora: Prototype guided incremental lora for federated class-incremental learning.

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning Pilora: Prototype guided incremental lora for federated class-incremental learning

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:21:49.673393Z

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Observation 34cf29eb-3060-4fb9-be7b-fa424b7f0aa7 · outbound

This paper cites Gradient reweighting: Towards imbalanced class-incremental learning.

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning Gradient reweighting: Towards imbalanced class-incremental learning

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:21:49.322601Z

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Observation 7d8029ed-4484-49ad-a2ed-172cd35b75cf · outbound

This paper cites Exemplar-free Online Continual Learning.

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning Exemplar-free Online Continual Learning

Reference 14

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Observation efa79b9a-45af-4a65-96a2-0869a1833003 · outbound

This paper cites Incremental learning in online scenario.

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning Incremental learning in online scenario

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:21:48.973572Z

Source-reported events for the cited work

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Observation bf25aeca-5cce-4764-a05b-5f4cc4e11bae · outbound

This paper cites The many faces of robust- ness: A critical analysis of out-of-distribution generalization.

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning The many faces of robust- ness: A critical analysis of out-of-distribution generalization

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:21:48.642306Z

Source-reported events for the cited work

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Observation d3b6ba39-a8fc-47d7-b4d1-9ea22d0c20eb · outbound

This paper cites Natural adversarial examples.

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning Natural adversarial examples

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:21:48.457176Z

Source-reported events for the cited work

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Observation b642c6f1-6f2e-4f50-a5cc-b4b8388e408c · outbound

This paper cites Learning a unified classifier incrementally via rebalancing.

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning Learning a unified classifier incrementally via rebalancing

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:21:48.290119Z

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Observation 52c046aa-1703-4667-8320-c27813d0d62a · outbound

This paper cites Parameter-efficient transfer learning for nlp.

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning Parameter-efficient transfer learning for nlp

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:21:48.141181Z

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Observation 2e68a60a-1fbf-4dee-bdb7-78651ff706eb · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning LoRA: Low-Rank Adaptation of Large Language Models

Reference 20

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Observation 7f55fcbb-fb14-47c5-827d-29594eddf3b5 · outbound

This paper cites Generating instance-level prompts for rehearsal-free continual learning.

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning Generating instance-level prompts for rehearsal-free continual learning

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:21:47.900186Z

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Observation f7c195d3-319b-4aca-aec3-fb08a78012a8 · outbound

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

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning Overcoming catastrophic forgetting in neu- ral networks

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:21:47.629381Z

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Observation b69ae651-426b-4408-8df6-31ec9f75bc54 · outbound

This paper cites The singular value decompo- sition: Its computation and some applications.

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning The singular value decompo- sition: Its computation and some applications

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:21:47.374984Z

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Observation e4513ae0-a919-4be0-8392-f16fa75e0778 · outbound

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

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning Learning multiple layers of features from tiny images

Reference 24

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Observation 166c73b4-c4db-4d8e-ad0c-ed4d111459a1 · outbound

This paper cites Learning without forgetting.

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning Learning without forgetting

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:21:47.218064Z

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Observation 59bd099c-0eaf-418a-8374-cf8944b78743 · outbound

This paper cites Inflora: Interference-free low-rank adaptation for continual learning.

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning Inflora: Interference-free low-rank adaptation for continual learning

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:21:47.028088Z

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Observation a7b027d0-9fe3-4439-a6df-eb289ca0b95e · outbound

This paper cites Rotate your networks: Better weight consolidation and less catastrophic forgetting.

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning Rotate your networks: Better weight consolidation and less catastrophic forgetting

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:21:46.894043Z

Source-reported events for the cited work

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Observation 26aacf54-1c29-4a3f-b31e-2f10c0046cba · outbound

This paper cites Generative feature replay for class- incremental learning.

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning Generative feature replay for class- incremental learning

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:21:46.703482Z

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Observation ba8be1a6-be21-45b4-8377-a7721a88a099 · outbound

This paper cites Mnemonics training: Multi-class incremental learning without forgetting.

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning Mnemonics training: Multi-class incremental learning without forgetting

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:21:46.555666Z

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Observation 9f7b20c5-ed8e-4c68-8ca2-a3b314d06a94 · outbound

This paper cites Adaptive aggre- gation networks for class-incremental learning.

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning Adaptive aggre- gation networks for class-incremental learning

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:21:46.305378Z

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Observation b12c81ac-1933-4788-96f7-a5189387ad64 · outbound

This paper cites Gradient episodic memory for continual learning.

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning Gradient episodic memory for continual learning

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:21:46.115057Z

Source-reported events for the cited work

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Observation c8262068-4909-49a4-8adc-e6b51bb68562 · outbound

This paper cites Class-incremental exemplar compression for class- incremental learning.

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning Class-incremental exemplar compression for class- incremental learning

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:21:45.896309Z

Source-reported events for the cited work

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Observation d8c7db67-938e-4145-991a-b2b7095c77af · outbound

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

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning Catastrophic inter- ference in connectionist networks: The sequential learning problem

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:21:45.718813Z

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Observation bc1e2b2e-9438-410a-bdb9-d7ab0dfc3f71 · outbound

This paper cites Ranpac: Ran- dom projections and pre-trained models for continual learn- ing.

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning Ranpac: Ran- dom projections and pre-trained models for continual learn- ing

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:21:45.514061Z

Source-reported events for the cited work

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Observation 9aff8f9c-5e42-4743-9d6e-e01ef3f8b8ad · outbound

This paper cites Online class incremental learning on stochastic blurry task boundary via mask and visual prompt tuning.

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning Online class incremental learning on stochastic blurry task boundary via mask and visual prompt tuning

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:21:45.320353Z

Source-reported events for the cited work

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Observation b98fdd71-177f-4eaf-b79c-5b8ba2613efe · outbound

This paper cites Adaptive Explicit Knowledge Transfer for Knowledge Distillation.

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning Adaptive Explicit Knowledge Transfer for Knowledge Distillation

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:21:41.159779Z

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Observation 992b9926-cdad-493d-a3cb-5a0db78fce2f · outbound

This paper cites How do vision transformers work? International Conference on Learning Representa- tions, 2022.

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning How do vision transformers work? International Conference on Learning Representa- tions, 2022

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:21:45.136360Z

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Observation 84a20719-be1a-494a-8387-a8ad945e2078 · outbound

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CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:21:44.969147Z

Source-reported events for the cited work

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Observation 2140a44f-4984-447a-9097-fa60af5dba87 · outbound

This paper cites Convolutional prompting meets language models for continual learning.

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning Convolutional prompting meets language models for continual learning

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:21:44.835438Z

Source-reported events for the cited work

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Observation 03e31358-08ee-41d0-b856-c6dfecae8e93 · outbound

This paper cites Berg, and Li Fei-Fei.

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning Berg, and Li Fei-Fei

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:21:44.680307Z

Source-reported events for the cited work

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Observation d37d8929-c5a7-4c5c-851c-0973a92ebc8c · outbound

This paper cites Coda-prompt: Con- tinual decomposed attention-based prompting for rehearsal- free continual learning.

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning Coda-prompt: Con- tinual decomposed attention-based prompting for rehearsal- free continual learning

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:21:44.519680Z

Source-reported events for the cited work

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Observation 93324d93-d46d-46e4-96ba-ef805da91f3b · outbound

This paper cites Continual dif- fusion: Continual customization of text-to-image diffusion with c-loRA.

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning Continual dif- fusion: Continual customization of text-to-image diffusion with c-loRA

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:21:44.320109Z

Source-reported events for the cited work

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Observation 6c78e687-07f8-48a0-9ebf-0f19c267154c · outbound

This paper cites PILOT: A Pre-Trained Model-Based Continual Learning Toolbox.

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning PILOT: A Pre-Trained Model-Based Continual Learning Toolbox

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T12:21:39.095713Z

Source-reported events for the cited work

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Observation eaf1c469-25ce-490f-88ad-2fb47746d7a9 · outbound

This paper cites DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation.

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T12:21:39.177022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9fe2eb29-f404-467b-90aa-f2132c9b94e1 · outbound

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

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning Foster: Feature boosting and compression for class- incremental learning

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:21:44.066310Z

Source-reported events for the cited work

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Observation 4f4814b5-479f-4e2c-9dfe-939a1cdac44c · outbound

This paper cites A comprehensive survey of continual learning: theory, method and application.

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning A comprehensive survey of continual learning: theory, method and application

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T12:21:39.350951Z

Source-reported events for the cited work

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Observation 52633b7f-6510-4f47-9516-bcf404d8d381 · outbound

This paper cites Or- thogonal subspace learning for language model continual learning.

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning Or- thogonal subspace learning for language model continual learning

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:21:43.836074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 38333f3d-d13f-4903-be2c-e0079b5358b8 · outbound

This paper cites Dualprompt: Complementary prompting for rehearsal-free continual learning.

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning Dualprompt: Complementary prompting for rehearsal-free continual learning

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:21:43.609887Z

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This paper cites Learning to prompt for continual learning.

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning Learning to prompt for continual learning

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:21:43.403979Z

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This paper cites Online-lora: Task-free online continual learning via low rank adaptation.

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning Online-lora: Task-free online continual learning via low rank adaptation

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:21:43.261617Z

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This paper cites Continual Learning with Low Rank Adaptation.

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning Continual Learning with Low Rank Adaptation

Reference 51

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:21:41.005078Z

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This paper cites Large scale in- cremental learning.

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning Large scale in- cremental learning

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:21:43.098889Z

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Observation d27df7f1-86ce-468d-9235-dbd984b156ab · outbound

This paper cites A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark.

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T12:21:40.037775Z

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This paper cites AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning.

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T12:21:40.114807Z

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Observation 60038a5c-9687-4a39-ada6-a6b89f4171f5 · outbound

This paper cites Maintaining discrimination and fairness in class incremental learning.

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning Maintaining discrimination and fairness in class incremental learning

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:21:42.915113Z

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Observation 1ed4e9b2-63ab-421c-aca1-c49cbd9e22ac · outbound

This paper cites Revisiting class-incremental learning with pre- trained models: Generalizability and adaptivity are all you need.

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning Revisiting class-incremental learning with pre- trained models: Generalizability and adaptivity are all you need

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:21:42.710974Z

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Observation af5d2f8f-10b9-46a4-b37a-c6e271f812b7 · outbound

This paper cites Continual Learning with Pre-Trained Models: A Survey.

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning Continual Learning with Pre-Trained Models: A Survey

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T12:21:40.298290Z

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Observation 7943243f-8f37-4d8c-a38e-6aa50e474491 · outbound

This paper cites Expandable subspace ensemble for pre-trained model-based class-incremental learning.

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning Expandable subspace ensemble for pre-trained model-based class-incremental learning

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:21:42.511182Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 52483fda-b8cb-4b3b-87c7-f978ba3e1e21 · outbound

This paper cites Class-incremental learning: A survey.

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning Class-incremental learning: A survey

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:21:42.311263Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 436e324b-72b3-4a00-b71d-b435137e5284 · outbound

This paper cites Prototype augmentation and self-supervision for incremental learning.

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning Prototype augmentation and self-supervision for incremental learning

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:21:42.104398Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 948b9e8f-c3c8-48b5-83cd-86b29b30bef0 · outbound

This paper cites Asymmetry in Low-Rank Adapters of Foundation Models.

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning Asymmetry in Low-Rank Adapters of Foundation Models

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T12:21:40.592421Z

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Observation 7adaae22-d195-4e35-a7d5-b095f8228aaa · outbound

This paper cites Overview of Training Algorithm Algorithm 1 presents the training process of our CL-LoRA for class-incremental learning.

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning Overview of Training Algorithm Algorithm 1 presents the training process of our CL-LoRA for class-incremental learning

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:21:41.885890Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4762d084-fbd0-4bdb-af81-7e4f9da2fe0b · outbound

This paper cites Results show last step accuracy AT and average accuracy A (%).

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning Results show last step accuracy AT and average accuracy A (%)

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:21:41.634903Z

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Pith citing papers

Observation 60576c79-3702-46d6-a611-6c1dae8d0af2 · inbound

Continual Knowledge Consolidation LORA for Domain Incremental Learning cites this paper.

Continual Knowledge Consolidation LORA for Domain Incremental Learning CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-04T09:27:51.990433Z

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Observation 3e0b266e-0701-4051-a27d-aa44fa4daaa3 · inbound

Mask the Target: A Plug-and-Play Regularizer Against LoRA Forgetting cites this paper.

Mask the Target: A Plug-and-Play Regularizer Against LoRA Forgetting CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-06-29T07:43:14.050434Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 72ad362d-9ca8-432c-8bb5-f05025a7113e · inbound

Few-Shot Domain Incremental Learning via Continual Vision-Language Consolidation cites this paper.

Few-Shot Domain Incremental Learning via Continual Vision-Language Consolidation CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-06-30T06:34:19.442124Z

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