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Paper Citation Record · LEDGER

Continual Knowledge Consolidation LORA for Domain Incremental Learning

As of 17 August 2026, this Paper Citation Record lists 76 of 76 outbound references and 2 inbound Pith citation observations for arXiv:2510.16077.

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

pith.paper-citation-record.v1
2510.16077 v2

Coverage vector

measured 76 of 76 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T09:27:54.395507Z

measured 78 of 78 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:12:14.375833Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T06:34:19.429162Z

Reference resolution

76 of 76 outbound references displayed

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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 20378d9c-b18c-483e-8a62-4525ee355c79 · outbound

This paper cites Chen and B.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Chen and B

Reference 1

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Observation 335ba3ab-f5d1-4c05-a21a-27f21943c06e · outbound

This paper cites Continual lifelong learning with neural networks: A review,.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Continual lifelong learning with neural networks: A review,

Reference 2

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source=pdf_text observed=2026-08-04T09:27:47.920195Z digest=sha256:cdff7d697824ae409dcbd197d7bb2f6a0ac03cf7f1c344aa329b2cb9c05f93fa

Observation a5ee6e02-2588-4700-a67e-c91375270966 · outbound

This paper cites Class-incremental learning: Survey and performance evaluation on image classification,.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Class-incremental learning: Survey and performance evaluation on image classification,

Reference 3

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source=pdf_text observed=2026-08-04T09:27:48.045439Z digest=sha256:607a0b242bde3bbdfe665d5a4a6bdc0481154b307f83422eaafc0b352f7bda2d

Observation 52907483-1af8-440c-859f-a563d4361090 · outbound

This paper cites Class-incremental learning: A survey.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Class-incremental learning: A survey

Reference 4

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Observation a849921f-aa16-4a8f-b09b-1fc0d08d9f6b · outbound

This paper cites On the stability-plasticity dilemma of class- incremental learning,.

Continual Knowledge Consolidation LORA for Domain Incremental Learning On the stability-plasticity dilemma of class- incremental learning,

Reference 5

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Observation 83f0f88f-77e5-4419-aa84-8b240904ce46 · outbound

This paper cites Overcoming catastrophic forgetting in neural networks,.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Overcoming catastrophic forgetting in neural networks,

Reference 6

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Observation de09f504-d75b-4620-9b9e-73add8826291 · outbound

This paper cites Continual Learning via Inter-Task Synaptic Mapping.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Continual Learning via Inter-Task Synaptic Mapping

Reference 7

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Observation b3c596bc-0472-4757-bacb-e6386667419a · outbound

This paper cites Overcoming catastrophic forgetting by neuron-level plasticity control,.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Overcoming catastrophic forgetting by neuron-level plasticity control,

Reference 8

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Observation 4d1228cb-90ac-461d-ba39-019a6517eb2a · outbound

This paper cites Continual learning through synaptic intelligence,.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Continual learning through synaptic intelligence,

Reference 9

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Observation 9695ca68-8885-48b1-9313-c726cb8b7180 · outbound

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

Continual Knowledge Consolidation LORA for Domain Incremental Learning Memory aware synapses: Learning what (not) to forget,

Reference 10

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Observation 77fac399-12cc-42ed-be0f-03f17ccb72a4 · outbound

This paper cites Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting

Reference 11

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Observation 71da59ee-9d29-4aa9-b161-f82f93bd7dc9 · outbound

This paper cites Progress & Compress: A scalable framework for continual learning.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Progress & Compress: A scalable framework for continual learning

Reference 12

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Observation 31f21202-42b1-45e4-88c1-7d76640009a7 · outbound

This paper cites CPR: Classifier-Projection Regularization for Continual Learning.

Continual Knowledge Consolidation LORA for Domain Incremental Learning CPR: Classifier-Projection Regularization for Continual Learning

Reference 13

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Observation b8a579b5-f405-4ef1-9ec6-e3a01746e95b · outbound

This paper cites Efficient Lifelong Learning with A-GEM.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Efficient Lifelong Learning with A-GEM

Reference 14

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Observation 63388370-d3a4-43ad-980e-62cccd735c14 · outbound

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

Continual Knowledge Consolidation LORA for Domain Incremental Learning icarl: Incremental classifier and representation learning,

Reference 15

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Observation 322f66ea-6e98-4033-8f22-b90d2152b347 · outbound

This paper cites On tiny episodic memories in continual learning,.

Continual Knowledge Consolidation LORA for Domain Incremental Learning On tiny episodic memories in continual learning,

Reference 16

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Observation 4db97b2d-6a3b-482e-a4bd-885cfa870ff7 · outbound

This paper cites Using hindsight to anchor past knowledge in continual learning,.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Using hindsight to anchor past knowledge in continual learning,

Reference 17

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source=pdf_text observed=2026-08-04T09:27:50.202192Z digest=sha256:f946a1d63e957d3be1997487f6414c08acc55a40141e8191291e6e0e66738177

Observation 3a103d4b-5a39-481b-9ffc-9b592a5ea190 · outbound

This paper cites Dark Experience for General Continual Learning: a Strong, Simple Baseline.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Dark Experience for General Continual Learning: a Strong, Simple Baseline

Reference 18

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Observation cd3f3d40-c139-4f0a-b953-ccaf304074d4 · outbound

This paper cites Scalable adversarial online continual learning,.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Scalable adversarial online continual learning,

Reference 19

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Observation f304af27-e1ba-4f4b-925d-7898b2908142 · outbound

This paper cites Class- incremental learning via knowledge amalgamation,.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Class- incremental learning via knowledge amalgamation,

Reference 20

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Observation fbcc3812-f5d5-4f78-9ade-7f5ba1d0b699 · outbound

This paper cites Assessor-guided learning for continual environments,.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Assessor-guided learning for continual environments,

Reference 21

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Observation 6389b27d-47c4-416d-97f3-47810151732f · outbound

This paper cites Gradient episodic memory for continual learning,.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Gradient episodic memory for continual learning,

Reference 22

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Observation 1b701a10-ff98-482e-97d9-76fc141c4bc2 · outbound

This paper cites Continual learning with deep generative replay,.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Continual learning with deep generative replay,

Reference 23

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source=pdf_text observed=2026-08-04T09:27:50.974612Z digest=sha256:34c1cb56e10a382ef4390a1bd0297e867f806ecb62e4311a58f0c9fad49e768d

Observation 10426cc3-3478-4ada-8247-c34a6e68cbd0 · outbound

This paper cites Adaptive progressive continual learning,.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Adaptive progressive continual learning,

Reference 24

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Observation d48f348b-4417-4774-abc0-1a86ed9ea0b2 · outbound

This paper cites Available: https://api.semanticscholar.org/CorpusID: 252090326.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Available: https://api.semanticscholar.org/CorpusID: 252090326

Reference 25

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Observation e1723379-5bb2-4f36-bf17-86d15b820574 · outbound

This paper cites Unsupervised continual learning in streaming environments,.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Unsupervised continual learning in streaming environments,

Reference 26

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Observation 95145d65-61bf-433f-8f55-d5b7e31d3d52 · outbound

This paper cites Unsupervised continual learning via self-adaptive deep clustering approach,.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Unsupervised continual learning via self-adaptive deep clustering approach,

Reference 27

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Observation b63f27f3-12e3-4b5c-a896-51fc7806b6dc · outbound

This paper cites Reinforced continual learning for graphs,.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Reinforced continual learning for graphs,

Reference 28

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Observation 733b565c-0472-4d89-9323-e2226afb0469 · outbound

This paper cites Learning to prompt for continual learning,.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Learning to prompt for continual learning,

Reference 29

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Observation 790d3e05-89b2-4f23-a61e-c0014767efd5 · outbound

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

Continual Knowledge Consolidation LORA for Domain Incremental Learning Dualprompt: Complementary prompting for rehearsal-free continual learning,

Reference 30

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Observation 4a737c83-0562-45a7-94c1-262f4a14d27c · outbound

This paper cites Lifelong Learning with Dynamically Expandable Networks.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Lifelong Learning with Dynamically Expandable Networks

Reference 31

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Observation 0f6ca6a9-db8c-4b7c-8956-b9698bf172c0 · outbound

This paper cites Continual learning using a kernel-based method over foundation models,.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Continual learning using a kernel-based method over foundation models,

Reference 32

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Observation 4bcf2150-ad34-4ed6-9863-2a7e5296008f · outbound

This paper cites Continual learning with pre-trained models: A survey,.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Continual learning with pre-trained models: A survey,

Reference 33

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source=pdf_text observed=2026-08-04T09:27:51.934799Z digest=sha256:20375467e9429d8f14cb1a89c17d123cda5fe3b58c26c9802966590aec20a988

Observation 6039cbf8-f4cb-4282-a185-7ed7cd3001a3 · outbound

This paper cites Available: https://api.semanticscholar.org/CorpusID: 235658071.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Available: https://api.semanticscholar.org/CorpusID: 235658071

Reference 34

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Observation 7d3e7a3d-2b07-4f6f-9d9a-261b75307425 · outbound

This paper cites LoRA Subtraction for Drift-Resistant Space in Exemplar-Free Continual Learning.

Continual Knowledge Consolidation LORA for Domain Incremental Learning LoRA Subtraction for Drift-Resistant Space in Exemplar-Free Continual Learning

Reference 35

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source=pdf_text observed=2026-08-04T09:27:52.070829Z digest=sha256:6f59b86391600be5a2f6d8aae5ef49ba27004ecab1026b3ca5337936910e71a4

Observation 9d5374e5-8cba-4083-9c97-bdc8c6c23deb · outbound

This paper cites Available: https://api.semanticscholar.org/CorpusID: 252089650.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Available: https://api.semanticscholar.org/CorpusID: 252089650

Reference 36

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source=pdf_text observed=2026-08-04T09:27:51.470615Z digest=sha256:d30dce6f62b02578613b3e7de7ff9418fbd094d53c977c94a4e16880eafc9d30

Observation 210973c8-ab9e-4a84-bab0-fc416b08f277 · outbound

This paper cites Three scenarios for continual learning.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Three scenarios for continual learning

Reference 37

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source=pdf_text observed=2026-08-04T09:27:52.278384Z digest=sha256:586dd36ac56517c7527a8d73253577933d8416011626ca6504dfe03a1004b570

Observation 060fb5b7-2a33-4be4-a9d9-d83c9d10268c · outbound

This paper cites Compositional prompting for anti-forgetting in domain incremental learning,.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Compositional prompting for anti-forgetting in domain incremental learning,

Reference 38

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Observation 9766dd77-aad9-4dac-89ef-ae6e7251ff0f · outbound

This paper cites Available: https://api.semanticscholar.org/CorpusID: 248085201.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Available: https://api.semanticscholar.org/CorpusID: 248085201

Reference 39

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Observation 4e222073-45e2-422b-9a0d-8c73bff554eb · outbound

This paper cites Vision and language synergy for rehearsal free continual learning,.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Vision and language synergy for rehearsal free continual learning,

Reference 40

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source=pdf_text observed=2026-08-04T09:27:51.733991Z digest=sha256:8850269755f19dd827274a2f688b0740c3c180eeff9cfa3cafc808ea2faf52ec

Observation bbd9340d-b4ee-445a-abdf-34de79402715 · outbound

This paper cites Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning

Reference 41

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Observation ee7788c4-26af-4b7f-a134-99b51c72ba45 · outbound

This paper cites Few-shot class incremental learning via robust transformer approach,.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Few-shot class incremental learning via robust transformer approach,

Reference 42

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source=pdf_text observed=2026-08-04T09:27:52.781148Z digest=sha256:d6ecc7d1184ca6dd369111c5d97cbb3ba1bc210fe3f66a7b57916b99891cd25b

Observation a7909ed8-6b73-40d3-b32b-42ebcba2132b · outbound

This paper cites Ad- dressing imbalanced domain-incremental learning through dual- balance collaborative experts,.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Ad- dressing imbalanced domain-incremental learning through dual- balance collaborative experts,

Reference 43

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source=pdf_text observed=2026-08-04T09:27:52.853455Z digest=sha256:853ef983996b2f18f4d0dfa2e2168c9016b170b8590797f615aa603d48679fc0

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

This paper cites CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning.

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

Reference 44

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source=pdf_text observed=2026-08-04T09:27:51.990433Z digest=sha256:15158fedadfea54faf814effc818f78c59ea30905ce4830483de662090340c3a

Observation 60eb1aff-da33-4c3c-8051-24582a6470ff · outbound

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

Continual Knowledge Consolidation LORA for Domain Incremental Learning LoRA: Low-Rank Adaptation of Large Language Models

Reference 45

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source=pdf_text observed=2026-08-04T09:27:52.979480Z digest=sha256:271c46ac3cac14e639100fef85aebad503c09eb2642b19d630f7b46ab35deec4

Observation a98a6903-fa9b-4944-97ff-29e9b3fc6090 · outbound

This paper cites Available: https://api.semanticscholar.org/CorpusID: 277313510.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Available: https://api.semanticscholar.org/CorpusID: 277313510

Reference 46

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source=pdf_text observed=2026-08-04T09:27:52.129385Z digest=sha256:b795bd7f2daeb1aa008b7cf3299e57eff62c4df2cce7b39f96a2f277b54c35c5

Observation b1eec1a1-64ef-400f-98d0-1f8243654f3d · outbound

This paper cites Adapter Merging with Centroid Prototype Mapping for Scalable Class-Incremental Learning.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Adapter Merging with Centroid Prototype Mapping for Scalable Class-Incremental Learning

Reference 47

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source=pdf_text observed=2026-08-04T09:27:52.208321Z digest=sha256:f2db26e26ae34944a014621c7359c715214e6be3214946f1cb67d212f6c62bc3

Observation 25b91af0-b140-42da-a119-acc804e5b788 · outbound

This paper cites Calculating the singular values and pseudo- inverse of a matrix,.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Calculating the singular values and pseudo- inverse of a matrix,

Reference 48

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source=pdf_text observed=2026-08-04T09:27:53.228318Z digest=sha256:082a4ac379f25f65df2683fc17f6368763e3ffd5f50a0e536fde081c0a96025b

Observation d0a23439-a163-4cc2-8594-f7d671fa458a · outbound

This paper cites Improving continual learning performance and efficiency with auxiliary classifiers,.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Improving continual learning performance and efficiency with auxiliary classifiers,

Reference 49

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source=pdf_text observed=2026-08-04T09:27:53.315379Z digest=sha256:58ef6e2f5740381dceac9b13d2a01645addcd9d8f157a42450876ec2fc48fbf6

Observation bc170c42-76a0-4976-8f18-9d6a77fad75a · outbound

This paper cites Dualcp: Rehearsal-free domain-incremental learning via dual-level concept prototype,.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Dualcp: Rehearsal-free domain-incremental learning via dual-level concept prototype,

Reference 50

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source=pdf_text observed=2026-08-04T09:27:52.431314Z digest=sha256:63b00d0d3fd3543653a4fdd32b656363799611b95e511bd61ffc2f77cdf2e2dd

Observation b616ecdf-16f8-4031-8cee-06ae4ffe54eb · outbound

This paper cites Available: https://api.semanticscholar.org/CorpusID: 277272564.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Available: https://api.semanticscholar.org/CorpusID: 277272564

Reference 51

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source=pdf_text observed=2026-08-04T09:27:52.538812Z digest=sha256:f90ed33ae2ce518b9837452286488b91739ed3365e97b21843726deb0d4bf78f

Observation 5232f059-4817-442b-a4e3-f290abc5e234 · outbound

This paper cites Boosting Domain Incremental Learning: Selecting the Optimal Parameters is All You Need.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Boosting Domain Incremental Learning: Selecting the Optimal Parameters is All You Need

Reference 52

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source=pdf_text observed=2026-08-04T09:27:52.611645Z digest=sha256:51fa11b114e360fa75b9961c5623e2a1514c01c4c10c74a6bf0079d0a877d518

Observation ffbf5cff-ae3e-4e52-8663-b6a36d306b58 · outbound

This paper cites Core50: a new dataset and benchmark for continuous object recognition,.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Core50: a new dataset and benchmark for continuous object recognition,

Reference 53

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source=pdf_text observed=2026-08-04T09:27:53.601332Z digest=sha256:b71970aee3039aae013213992ef69db362a561acdd3a41d917b424b959ed5985

Observation d5a773bc-82f5-47d8-8610-7690ddd33c62 · outbound

This paper cites A continual deepfake detection benchmark: Dataset, methods, and essentials,.

Continual Knowledge Consolidation LORA for Domain Incremental Learning A continual deepfake detection benchmark: Dataset, methods, and essentials,

Reference 54

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source=pdf_text observed=2026-08-04T09:27:53.646438Z digest=sha256:c508abf5d30452d97a9b5e40fc030709b317f6cd15f17c484bbc2607d205ad75

Observation 1f05d8bc-89af-4adf-b59d-456143c473ed · outbound

This paper cites Deep hashing network for unsupervised domain adaptation,.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Deep hashing network for unsupervised domain adaptation,

Reference 55

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source=pdf_text observed=2026-08-04T09:27:53.725515Z digest=sha256:913bc8f27ccaef0ac08295948de2e6c61582ef83296bcaee96e32fb0b68b1162

Observation cc062dd3-f1b8-4c9b-8a9f-dcf3d92fd4f3 · outbound

This paper cites Componential prompt- knowledge alignment for domain incremental learning,.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Componential prompt- knowledge alignment for domain incremental learning,

Reference 56

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source=pdf_text observed=2026-08-04T09:27:52.911574Z digest=sha256:8d57b474152f376fde360b4950dacb3c85f2c9bca1ab4ad7559be877d1dbc649

Observation 7c6ebaf8-af43-424c-b3f2-d7eb2ac45b58 · outbound

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

Continual Knowledge Consolidation LORA for Domain Incremental Learning Coda-prompt: Continual decomposed attention-based prompting for rehearsal-free continual learning,

Reference 57

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source=pdf_text observed=2026-08-04T09:27:53.893449Z digest=sha256:7b76ee82f6a844223de79576551317165ca1288a53d9ae35e4b264854d88e5ee

Observation 8e34910f-8b6a-4846-90cb-736e62eb01c6 · outbound

This paper cites S3c: Self-supervised stochastic classifiers for few-shot class-incremental learning,.

Continual Knowledge Consolidation LORA for Domain Incremental Learning S3c: Self-supervised stochastic classifiers for few-shot class-incremental learning,

Reference 58

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source=pdf_text observed=2026-08-04T09:27:53.108999Z digest=sha256:939205d3c9cf3742f1b9bfbcc23545f7e5d989b77ed270ed44c523bfdda4f372

Observation 55ae5af7-7311-4085-a09f-dd06f661bfc6 · outbound

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

Continual Knowledge Consolidation LORA for Domain Incremental Learning Asymmetry in Low-Rank Adapters of Foundation Models

Reference 59

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source=pdf_text observed=2026-08-04T09:27:53.163283Z digest=sha256:c20ecedaaf0a97374c249cebc3797cbbdafaa9789c940337101d13cbe7475526

Observation 517e09a4-bb95-4589-b756-48a8390523fd · outbound

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

Continual Knowledge Consolidation LORA for Domain Incremental Learning Revisiting class-incremental learning with pre-trained models: Generalizability and adaptivity are all you need,

Reference 60

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source=pdf_text observed=2026-08-04T09:27:54.082930Z digest=sha256:8a49cece49b7b9e06aa2005129ab749596e9374409c419a5d8ec9085fc66f91b

Observation 278522ee-078a-4671-83f6-8d7bd19270ed · outbound

This paper cites A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning.

Continual Knowledge Consolidation LORA for Domain Incremental Learning A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning

Reference 61

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source=pdf_text observed=2026-08-04T09:27:54.163876Z digest=sha256:f346347b8ced01a708bbc72e4055dc20ea3998c042dff509bd607817658e976d

Observation 608a9599-8048-45f7-8601-581198c27321 · outbound

This paper cites an unresolved cited work.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Unresolved cited work

Reference 62

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source=pdf_text observed=2026-08-04T09:27:53.396752Z digest=sha256:1ebd097df231ae2af295ba4c0f91ba00875575b499e0e5d4d66b32f2e9c32a84

Observation a03fd23b-c4d6-46b1-9c7e-be42935301de · outbound

This paper cites Few-shot continual learning via flat-to-wide approaches,.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Few-shot continual learning via flat-to-wide approaches,

Reference 63

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source=pdf_text observed=2026-08-04T09:27:53.452311Z digest=sha256:eeee3b47ed53968627fc2d17b9a0214f16a9a7954c97d0ada8b7cfdf0e73ab1d

Observation 4c0b58e6-1eb9-4d01-981f-03cc34f2cac9 · outbound

This paper cites Moment matching for multi-source domain adaptation,.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Moment matching for multi-source domain adaptation,

Reference 64

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source=pdf_text observed=2026-08-04T09:27:53.532654Z digest=sha256:2bc5030aee893c1097b56abdf6f571123c27f7940da5bfd45b658d00840cc01e

Observation f2acb1a2-7a3e-4a33-9a74-fb3f2e4c7725 · outbound

This paper cites S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for Domain Incremental Learning.

Continual Knowledge Consolidation LORA for Domain Incremental Learning S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for Domain Incremental Learning

Reference 68

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source=pdf_text observed=2026-08-04T09:27:53.810732Z digest=sha256:c42364d4f974e198657ad0ca76fa9953f4f93b7b1699014ca22740087b7dc6fd

Observation 0b009d84-3e14-4f2a-ba42-1c7f2a6d2dc6 · outbound

This paper cites RanPAC: Random Projections and Pre-trained Models for Continual Learning.

Continual Knowledge Consolidation LORA for Domain Incremental Learning RanPAC: Random Projections and Pre-trained Models for Continual Learning

Reference 70

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source=pdf_text observed=2026-08-04T09:27:53.978072Z digest=sha256:e96c73cb1323024140c94a88bcbe6db9c88eb32f740d1d9548d17a716c731376

Observation 2b944e5f-8112-4a39-9afd-92cea7a2ca86 · outbound

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

Continual Knowledge Consolidation LORA for Domain Incremental Learning Expandable subspace ensemble for pre-trained model-based class-incremental learning,

Reference 71

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source=pdf_text observed=2026-08-04T09:27:54.040854Z digest=sha256:9e0e721e46ca6fb731b87c28633c1da492ecf80f8a7a59ea9212880a91c85e01

Observation 0fea815f-7472-42a6-801d-ab533d5ed37a · outbound

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

Continual Knowledge Consolidation LORA for Domain Incremental Learning icarl: Incremental classifier and representation learning,

Reference 74

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source=pdf_text observed=2026-08-04T09:27:54.249600Z digest=sha256:5560ff1eae2a82de5e75d92834fd7e5bd4a78ca9a168f183ffb817ca5b34dd7f

Observation eae2152f-0440-4163-b18b-bce5c6ae2df9 · outbound

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

Continual Knowledge Consolidation LORA for Domain Incremental Learning Connectionist models of recognition memory: constraints imposed by learning and forgetting functions

Reference 75

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source=pdf_text observed=2026-08-04T09:27:54.331671Z digest=sha256:4154de5f0d33490055ae312a1718aeef5e77a211bc81cbe9657b009b857933d0

Observation 38c23a6d-d2fc-434d-95f4-b7fe4f670319 · outbound

This paper cites UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction.

Continual Knowledge Consolidation LORA for Domain Incremental Learning UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Reference 76

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source=pdf_text observed=2026-08-04T09:27:54.395507Z digest=sha256:cd81bc450ef4c5001726a4b54cc25e8c601fbdfa7fd14a00fc54ded598fc0c6d

Observation ac8c01e1-969c-48a0-81ed-25ba866bcd1b · outbound

This paper cites Available: https://api.semanticscholar.org/CorpusID: 37308416.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Available: https://api.semanticscholar.org/CorpusID: 37308416

Reference 2017

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source=pdf_text observed=2026-08-04T09:27:50.909023Z digest=sha256:9ec72db30ef6805e5fb650c3d5c19690f5702c41b41d57704c907cd517ba5bec

Observation c7bcac46-0ef7-4a09-992b-6800af619fc5 · outbound

This paper cites Available: https://api.semanticscholar.org/CorpusID: 4254748.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Available: https://api.semanticscholar.org/CorpusID: 4254748

Reference 2018

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source=pdf_text observed=2026-08-04T09:27:49.427435Z digest=sha256:8b30b3bdaa311508d4d3a68c997b13ec0e27fbf3fe06fd68f75e7e0b661a42dd

Observation 4065ae79-2526-4b37-93ad-1b6a439ad18c · outbound

This paper cites Available: https://api.semanticscholar.org/CorpusID: 234353728.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Available: https://api.semanticscholar.org/CorpusID: 234353728

Reference 2020

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source=pdf_text observed=2026-08-04T09:27:48.121881Z digest=sha256:66ddcdcb00327a06caecc6a7ae65102ddad3975c0c284ccb48b6d1a360742ba3

Observation cea0a361-3e64-4084-bfca-42f7f23f6ee7 · outbound

This paper cites Available: https://api.semanticscholar.org/CorpusID: 233710658.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Available: https://api.semanticscholar.org/CorpusID: 233710658

Reference 2021

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source=pdf_text observed=2026-08-04T09:27:48.802097Z digest=sha256:17b522ccd2d582f816a8750e306cffaa25e825c8c1d489997fbf28cf0d069347

Observation 8c9adf6d-8ee0-4400-b422-7d54d28af088 · outbound

This paper cites Available: https://api.semanticscholar.org/CorpusID: 252089827.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Available: https://api.semanticscholar.org/CorpusID: 252089827

Reference 2022

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source=pdf_text observed=2026-08-04T09:27:50.492246Z digest=sha256:4b457a55f147ec811621964eb93849540bed3536c9a6b32c6e409fa2d66b32a6

Observation 22df1358-ef86-41c8-8452-3b120c950fa0 · outbound

This paper cites Available: https://api.semanticscholar.org/CorpusID: 278602871.

Continual Knowledge Consolidation LORA for Domain Incremental Learning Available: https://api.semanticscholar.org/CorpusID: 278602871

Reference 2025

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source=pdf_text observed=2026-08-04T09:27:51.798053Z digest=sha256:72cd3b80f999b59924a33810f8e363309eb8673033fc9b2ec8e49f477a2a3f90

Pith citing papers

Observation 8cfbdd03-55c4-432d-afff-e153566c375f · inbound

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

Few-Shot Domain Incremental Learning via Continual Vision-Language Consolidation Continual Knowledge Consolidation LORA for Domain Incremental Learning

Reference 37

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arxiv_id, observed 2026-07-28T02:23:19.356488Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-30T06:25:59.549875Z digest=sha256:2d1d37703741f07a1cb0b63fcb13d406d8afb652f28e1b168b21f323278587bf

Observation 60b78888-cc4b-432c-8028-35f79d410c1d · inbound

BPG: Balancing Plasticity and Generalization for Domain Incremental Learning cites this paper.

BPG: Balancing Plasticity and Generalization for Domain Incremental Learning Continual Knowledge Consolidation LORA for Domain Incremental Learning

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