Paper Citation Record · LEDGER

RainbowPrompt: Diversity-Enhanced Prompt-Evolving for Continual Learning

As of 9 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 1 inbound Pith citation observation for arXiv:2507.22553.

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

pith.paper-citation-record.v1
2507.22553 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:37:31.907001Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-21T06:09:58.907203Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T06:13:59.666811Z

Reference resolution

48 of 48 outbound references displayed

verified exact0
verified fuzzy37
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4be54eff-224a-4676-9f7f-8293ad3e57a1 · outbound

This paper cites Mem- ory aware synapses: Learning what (not) to forget.

RainbowPrompt: Diversity-Enhanced Prompt-Evolving for Continual Learning Mem- ory aware synapses: Learning what (not) to forget

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:37:36.533893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9aaf7a60-16ee-49e1-a526-6c6f71d046cf · outbound

This paper cites Activitynet: A large-scale video benchmark for human activity un- derstanding.

RainbowPrompt: Diversity-Enhanced Prompt-Evolving for Continual Learning Activitynet: A large-scale video benchmark for human activity un- derstanding

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:37:36.511803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3f7cc4a9-f22c-4bea-affe-d1af8346dafe · outbound

This paper cites Co2l: Contrastive continual learning.

RainbowPrompt: Diversity-Enhanced Prompt-Evolving for Continual Learning Co2l: Contrastive continual learning

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:37:36.492588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 838e3f82-49ce-4e15-9047-9631c87e5181 · outbound

This paper cites Efficient Lifelong Learning with A-GEM.

RainbowPrompt: Diversity-Enhanced Prompt-Evolving for Continual Learning Efficient Lifelong Learning with A-GEM

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T11:37:31.593349Z

Source-reported events for the cited work

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Observation 7e2871b2-c9c4-4c51-8e3b-d5e6531f8712 · outbound

This paper cites Morgan & Claypool Publishers, 2018.

RainbowPrompt: Diversity-Enhanced Prompt-Evolving for Continual Learning Morgan & Claypool Publishers, 2018

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:37:36.468064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d68979d1-5bd1-421b-accd-a965d0fa9b38 · outbound

This paper cites Towards discrim- inability and diversity: Batch nuclear-norm maximiza- tion under label insufficient situations.

RainbowPrompt: Diversity-Enhanced Prompt-Evolving for Continual Learning Towards discrim- inability and diversity: Batch nuclear-norm maximiza- tion under label insufficient situations

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:37:36.448948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 519ab70a-8192-4349-ae85-0a04369cd9c0 · outbound

This paper cites A continual learn- ing survey: Defying forgetting in classification tasks.

RainbowPrompt: Diversity-Enhanced Prompt-Evolving for Continual Learning A continual learn- ing survey: Defying forgetting in classification tasks

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:37:36.432604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 20e4a088-e85f-44ca-88dc-f917bec21e6f · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

RainbowPrompt: Diversity-Enhanced Prompt-Evolving for Continual Learning An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T11:37:31.614263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2556eb81-134a-469c-88ff-55077470f21b · outbound

This paper cites Catastrophic forgetting in connec- tionist networks.Trends in Cognitive Sciences, 3(4): 128–135, 1999.

RainbowPrompt: Diversity-Enhanced Prompt-Evolving for Continual Learning Catastrophic forgetting in connec- tionist networks.Trends in Cognitive Sciences, 3(4): 128–135, 1999

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:37:36.415432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0242fe8d-9c0b-4032-9080-acd34ebb6e7a · outbound

This paper cites Compact bilinear pooling.

RainbowPrompt: Diversity-Enhanced Prompt-Evolving for Continual Learning Compact bilinear pooling

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:37:36.397466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 721cdd59-3d9b-4578-83ab-a639b8dbde4b · outbound

This paper cites Consis- tent prompting for rehearsal-free continual learning.

RainbowPrompt: Diversity-Enhanced Prompt-Evolving for Continual Learning Consis- tent prompting for rehearsal-free continual learning

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:37:36.381460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 93c38db3-cce0-45fc-9a32-0501677b045a · outbound

This paper cites Transformer Feed-Forward Layers Are Key-Value Memories.

RainbowPrompt: Diversity-Enhanced Prompt-Evolving for Continual Learning Transformer Feed-Forward Layers Are Key-Value Memories

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T11:37:31.631879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8d5c7d7-17bc-423b-ac92-60fe9950916d · outbound

This paper cites Rethinking channel dimensions for efficient model design.

RainbowPrompt: Diversity-Enhanced Prompt-Evolving for Continual Learning Rethinking channel dimensions for efficient model design

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:37:36.364624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ae55c924-d2e2-4780-8d43-5608cdabfe36 · outbound

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

RainbowPrompt: Diversity-Enhanced Prompt-Evolving for Continual Learning The many faces of robustness: A critical analysis of out- of-distribution generalization

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:37:36.347213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d6fc66ae-39b0-4fcf-a086-334fe1de3622 · outbound

This paper cites Exploration and exploitation in continual learning.Neural Networks, 188:107444, 2025.

RainbowPrompt: Diversity-Enhanced Prompt-Evolving for Continual Learning Exploration and exploitation in continual learning.Neural Networks, 188:107444, 2025

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:37:36.329679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5e1057c0-5770-4eaf-82fb-a4a8f36099a0 · outbound

This paper cites Re-evaluating Continual Learning Scenarios: A Categorization and Case for Strong Baselines.

RainbowPrompt: Diversity-Enhanced Prompt-Evolving for Continual Learning Re-evaluating Continual Learning Scenarios: A Categorization and Case for Strong Baselines

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T11:37:31.650239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66d0cadb-bd3d-4964-b622-6086fd8e3b78 · outbound

This paper cites Compacting, picking and growing for unfor- getting continual learning.Advances in Neural Infor- mation Processing Systems, 32, 2019.

RainbowPrompt: Diversity-Enhanced Prompt-Evolving for Continual Learning Compacting, picking and growing for unfor- getting continual learning.Advances in Neural Infor- mation Processing Systems, 32, 2019

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:37:36.304867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 663c5282-ca74-424d-b213-a44325a1725a · outbound

This paper cites Categorical Reparameterization with Gumbel-Softmax.

RainbowPrompt: Diversity-Enhanced Prompt-Evolving for Continual Learning Categorical Reparameterization with Gumbel-Softmax

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T11:37:31.659639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8a7e406-eb77-4d45-8df8-29610bfb9443 · outbound

This paper cites Helpful or harmful: Inter-task association in continual learning.

RainbowPrompt: Diversity-Enhanced Prompt-Evolving for Continual Learning Helpful or harmful: Inter-task association in continual learning

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:37:36.116718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 542b2fea-1619-4c7d-9f4e-d0dba2ff8b87 · outbound

This paper cites Growing a brain with sparsity-inducing generation for continual learning.

RainbowPrompt: Diversity-Enhanced Prompt-Evolving for Continual Learning Growing a brain with sparsity-inducing generation for continual learning

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:37:35.913768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 44d061b2-9e38-42ea-803d-ee75125752d6 · outbound

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

RainbowPrompt: Diversity-Enhanced Prompt-Evolving for Continual Learning Generating instance-level prompts for rehearsal-free continual learning

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:37:35.679522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b74e6084-b6b9-4e88-b24b-4f3b5c14e76f · outbound

This paper cites Continual learning with node- importance based adaptive group sparse regulariza- tion.Advances in Neural Information Processing Sys- tems, 33:3647–3658, 2020.

RainbowPrompt: Diversity-Enhanced Prompt-Evolving for Continual Learning Continual learning with node- importance based adaptive group sparse regulariza- tion.Advances in Neural Information Processing Sys- tems, 33:3647–3658, 2020

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:37:35.499691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d3a2e3e2-e5ec-47a2-980e-ee9e2a4c030d · outbound

This paper cites Self-regulating prompts: Foun- dational model adaptation without forgetting.

RainbowPrompt: Diversity-Enhanced Prompt-Evolving for Continual Learning Self-regulating prompts: Foun- dational model adaptation without forgetting

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:37:35.315761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f8475aed-b7b2-4757-91a7-27249ac8ea1a · outbound

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

RainbowPrompt: Diversity-Enhanced Prompt-Evolving for Continual Learning Learning multiple layers of features from tiny images

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T11:37:31.688354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 692a7906-7831-4286-a1d2-0da2526b5274 · outbound

This paper cites The Power of Scale for Parameter-Efficient Prompt Tuning.

RainbowPrompt: Diversity-Enhanced Prompt-Evolving for Continual Learning The Power of Scale for Parameter-Efficient Prompt Tuning

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T11:37:31.692745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 893ed412-ca5c-4faf-b3e0-f06588022aea · outbound

This paper cites Prefix-Tuning: Optimizing Continuous Prompts for Generation.

RainbowPrompt: Diversity-Enhanced Prompt-Evolving for Continual Learning Prefix-Tuning: Optimizing Continuous Prompts for Generation

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T11:37:31.698089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 938bdaf0-b6e9-4eea-b510-77aa640a7142 · outbound

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

RainbowPrompt: Diversity-Enhanced Prompt-Evolving for Continual Learning Inflora: Interference- free low-rank adaptation for continual learning

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:37:35.174628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 967e5b9e-b180-4b65-a23f-2caeb756c3ab · outbound

This paper cites Pre-train, prompt, and predict: A systematic survey of prompt- ing methods in natural language processing.ACM Computing Surveys, 55(9):1–35, 2023.

RainbowPrompt: Diversity-Enhanced Prompt-Evolving for Continual Learning Pre-train, prompt, and predict: A systematic survey of prompt- ing methods in natural language processing.ACM Computing Surveys, 55(9):1–35, 2023

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:37:34.985209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 66a6f2d3-bd21-4adc-afaa-53de0f3f31f4 · outbound

This paper cites Gradi- ent episodic memory for continual learning.Advances in Neural Information Processing Systems, 30, 2017.

RainbowPrompt: Diversity-Enhanced Prompt-Evolving for Continual Learning Gradi- ent episodic memory for continual learning.Advances in Neural Information Processing Systems, 30, 2017

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:37:34.821298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 089b8cd8-ede0-4d59-ae5a-83db55c81247 · outbound

This paper cites Under- standing and mitigating overfitting in prompt tuning for vision-language models.IEEE Transactions on Circuits and Systems for Video Technology, 33(9): 4616–4629, 2023.

RainbowPrompt: Diversity-Enhanced Prompt-Evolving for Continual Learning Under- standing and mitigating overfitting in prompt tuning for vision-language models.IEEE Transactions on Circuits and Systems for Video Technology, 33(9): 4616–4629, 2023

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:37:34.641246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 444079df-3c7e-4811-8dcc-17dc5caa7e46 · outbound

This paper cites Locating and editing factual associations in gpt.Advances in Neural Information Processing Systems, 35:17359–17372, 2022.

RainbowPrompt: Diversity-Enhanced Prompt-Evolving for Continual Learning Locating and editing factual associations in gpt.Advances in Neural Information Processing Systems, 35:17359–17372, 2022

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:37:34.464045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation cdae60fe-2ee1-4608-b921-4d306464a4bf · outbound

This paper cites Learning to re- member: A synaptic plasticity driven framework for continual learning.

RainbowPrompt: Diversity-Enhanced Prompt-Evolving for Continual Learning Learning to re- member: A synaptic plasticity driven framework for continual learning

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:37:34.314691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7b900e76-7a41-48a2-936f-be1188c35f96 · outbound

This paper cites Prompt gradient projec- tion for continual learning.

RainbowPrompt: Diversity-Enhanced Prompt-Evolving for Continual Learning Prompt gradient projec- tion for continual learning

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:37:34.103589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation eb50398c-134e-469b-aa46-726a28afaeda · outbound

This paper cites icarl: Incre- mental classifier and representation learning.

RainbowPrompt: Diversity-Enhanced Prompt-Evolving for Continual Learning icarl: Incre- mental classifier and representation learning

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:37:33.964500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation abd0569f-f7e5-4f91-87bd-9e1eaa9a70dc · outbound

This paper cites Convolutional prompting meets language models for continual learn- ing.

RainbowPrompt: Diversity-Enhanced Prompt-Evolving for Continual Learning Convolutional prompting meets language models for continual learn- ing

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:37:33.801668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a49b85d3-da68-4815-9d6e-7ad8e4d30546 · outbound

This paper cites Gradient Projection Memory for Continual Learning.

RainbowPrompt: Diversity-Enhanced Prompt-Evolving for Continual Learning Gradient Projection Memory for Continual Learning

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T11:37:31.785543Z

Source-reported events for the cited work

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Observation 4864dd20-89e2-467e-98d3-ed7265cefa8a · outbound

This paper cites Continual learning with deep generative replay.

RainbowPrompt: Diversity-Enhanced Prompt-Evolving for Continual Learning Continual learning with deep generative replay

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:37:33.653129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e15fadb8-569a-47f7-9d9d-e95faa36fb31 · outbound

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

RainbowPrompt: Diversity-Enhanced Prompt-Evolving for Continual Learning Coda-prompt: Continual decomposed attention- based prompting for rehearsal-free continual learning

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:37:33.505941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b165ba58-b5ee-484d-a1fa-3ee6b5b9e1b3 · outbound

This paper cites UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild.

RainbowPrompt: Diversity-Enhanced Prompt-Evolving for Continual Learning UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T11:37:31.812826Z

Source-reported events for the cited work

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Observation 318f5443-8f34-4e63-afce-0ea346d72eec · outbound

This paper cites vclimb: A novel video class incremental learning benchmark.

RainbowPrompt: Diversity-Enhanced Prompt-Evolving for Continual Learning vclimb: A novel video class incremental learning benchmark

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:37:33.360633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9598c405-aad7-47b2-a557-7317c097727a · outbound

This paper cites Pivot: Prompting for video continual learning.

RainbowPrompt: Diversity-Enhanced Prompt-Evolving for Continual Learning Pivot: Prompting for video continual learning

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:37:33.218487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 664306c6-ba94-4e2d-8389-24f800822ec5 · outbound

This paper cites The caltech-ucsd birds- 200-2011 dataset.

RainbowPrompt: Diversity-Enhanced Prompt-Evolving for Continual Learning The caltech-ucsd birds- 200-2011 dataset

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:37:33.038443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2cd80eb8-0d87-4150-ba22-2040ba704eac · outbound

This paper cites Tempo- ral segment networks for action recognition in videos.

RainbowPrompt: Diversity-Enhanced Prompt-Evolving for Continual Learning Tempo- ral segment networks for action recognition in videos

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:37:32.890046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 62cee90a-b629-4c5e-ab91-f33c4ee00bbd · outbound

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

RainbowPrompt: Diversity-Enhanced Prompt-Evolving for Continual Learning Dualprompt: Complementary prompting for rehearsal-free contin- ual learning

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:37:32.749587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c591d8e2-307e-4b80-b30d-92ac6739e4d8 · outbound

This paper cites Learning to prompt for continual learning.

RainbowPrompt: Diversity-Enhanced Prompt-Evolving for Continual Learning Learning to prompt for continual learning

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:37:32.593213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 71a651b3-8353-40d6-a4e4-387be713c53e · outbound

This paper cites Memory replay gans: Learning to generate new categories without for- getting.Advances in Neural Information Processing Systems, 31, 2018.

RainbowPrompt: Diversity-Enhanced Prompt-Evolving for Continual Learning Memory replay gans: Learning to generate new categories without for- getting.Advances in Neural Information Processing Systems, 31, 2018

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:37:32.460621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9503e6de-0bc3-4cfc-9c3d-0fcfec1056f2 · outbound

This paper cites Der: Dynamically expandable representation for class in- cremental learning.

RainbowPrompt: Diversity-Enhanced Prompt-Evolving for Continual Learning Der: Dynamically expandable representation for class in- cremental learning

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:37:32.259846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 13e84a26-74d1-4d21-91eb-65d620657e22 · outbound

This paper cites Lifelong Learning with Dynamically Expandable Networks.

RainbowPrompt: Diversity-Enhanced Prompt-Evolving for Continual Learning Lifelong Learning with Dynamically Expandable Networks

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-06T11:37:31.907001Z

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Pith citing papers

Observation f420b7d7-3881-4053-ba29-036b4db24c51 · inbound

STAR-IOD: Scale-decoupled Topology Alignment with Pseudo-label Refinement for Remote Sensing Incremental Object Detection cites this paper.

STAR-IOD: Scale-decoupled Topology Alignment with Pseudo-label Refinement for Remote Sensing Incremental Object Detection RainbowPrompt: Diversity-Enhanced Prompt-Evolving for Continual Learning

Reference 151

Resolution: verified exact; arxiv_id, observed 2026-05-21T06:13:59.668732Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.