Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T18:07:16.895675Z
Paper Citation Record · LEDGER
Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning
As of 9 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2507.09183.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
57 of 57 outbound references displayed
- verified exact1
- verified fuzzy44
- unresolved12
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation eeb6233c-b87e-420a-bd74-671e41e1d98b · outbound
This paper cites an unresolved cited work.
Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning Unresolved cited work
Reference 1
- Resolution
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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 ca3cada1-60dd-4f3f-89c8-4350f7c12a0c · outbound
This paper cites Subspace regularizers for few-shot class in- cremental learning, 2022.
Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning Subspace regularizers for few-shot class in- cremental learning, 2022
Reference 2
- Resolution
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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 dd56a1e5-19ec-4e6b-982b-7d52a40f0154 · outbound
This paper cites an unresolved cited work.
Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning Unresolved cited work
Reference 3
- Resolution
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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 894d1a14-739a-40fd-937c-6dabb17a9aca · outbound
This paper cites E2vpt: An effec- tive and efficient approach for visual prompt tuning.
Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning E2vpt: An effec- tive and efficient approach for visual prompt tuning
Reference 4
- Resolution
- verified fuzzy
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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 e53ac345-c5f3-434e-8555-edecf1fc9475 · outbound
This paper cites Uncertainty-aware distillation for semi-supervised few-shot class-incremental learning.
Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning Uncertainty-aware distillation for semi-supervised few-shot class-incremental learning
Reference 5
- Resolution
- verified fuzzy
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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 a84062d6-33d8-4c4a-8ee1-bd92cdf70498 · outbound
This paper cites Lpt: Long-tailed prompt tuning for image classifica- tion, 2023.
Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning Lpt: Long-tailed prompt tuning for image classifica- tion, 2023
Reference 6
- Resolution
- verified fuzzy
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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 a1b922ce-4de9-42b8-a064-53123aef25f4 · outbound
This paper cites An image is worth 16x16 words: Transformers for image recognition at scale, 2021.
Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning An image is worth 16x16 words: Transformers for image recognition at scale, 2021
Reference 7
- Resolution
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Source-reported events for the cited work
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Observation f42c46a4-2a67-4aa9-9bb3-9d6e16e9cc43 · outbound
This paper cites an unresolved cited work.
Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning Unresolved cited work
Reference 8
- Resolution
- unresolved
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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 62c0b818-994a-4963-b331-49799f935c31 · outbound
This paper cites Decoupling represen- tation and knowledge for few-shot intent classification and slot filling.
Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning Decoupling represen- tation and knowledge for few-shot intent classification and slot filling
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:07:24.956945Z
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 86e2fa45-2942-4954-814f-d489347124f8 · outbound
This paper cites The inaturalist species classification and detection dataset.
Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning The inaturalist species classification and detection dataset
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:07:24.765538Z
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 02002ae8-ffaf-4669-b11e-417a331eaa32 · outbound
This paper cites Diversity- aware meta visual prompting, 2023.
Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning Diversity- aware meta visual prompting, 2023
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:07:24.593453Z
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 2faa4f19-9bcc-459c-8a77-edfa316e95ab · outbound
This paper cites Learning prompt with distribution-based feature replay for few-shot class-incremental learning, 2024.
Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning Learning prompt with distribution-based feature replay for few-shot class-incremental learning, 2024
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:07:24.377046Z
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 90547351-4f26-4b23-a614-ee0259eb5841 · outbound
This paper cites Vi- sual prompt tuning, 2022.
Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning Vi- sual prompt tuning, 2022
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:07:24.195694Z
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 0d61c30e-f67c-4ad7-a6df-540a1a639d1f · outbound
This paper cites an unresolved cited work.
Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning Unresolved cited work
Reference 14
- Resolution
- unresolved
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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 2830f972-d195-4bb7-af0f-c74c69368074 · outbound
This paper cites Warping the space: Weight space rotation for class- incremental few-shot learning.
Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning Warping the space: Weight space rotation for class- incremental few-shot learning
Reference 15
- Resolution
- verified fuzzy
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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 c28db224-33f1-4331-ab66-73024b309f27 · outbound
This paper cites Berg, Wan-Yen Lo, Piotr Doll ´ar, and Ross Girshick.
Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning Berg, Wan-Yen Lo, Piotr Doll ´ar, and Ross Girshick
Reference 16
- Resolution
- verified fuzzy
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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 9e97c21f-79f3-4504-98ad-5204b04926be · outbound
This paper cites Learning multiple layers of features from tiny images.
Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning Learning multiple layers of features from tiny images
Reference 17
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0a4cf309-706e-4fe7-a184-52daf1cc11d6 · outbound
This paper cites General- ized and incremental few-shot learning by explicit learning and calibration without forgetting.
Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning General- ized and incremental few-shot learning by explicit learning and calibration without forgetting
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:07:23.451665Z
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 9d8c9c45-145d-49d1-a207-cc6488f2fd5f · outbound
This paper cites The power of scale for parameter-efficient prompt tuning, 2021.
Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning The power of scale for parameter-efficient prompt tuning, 2021
Reference 19
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1771c5a5-d915-46e1-b396-4c04b8a074eb · outbound
This paper cites Few-shot class incre- mental learning with attention-aware self-adaptive prompt,.
Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning Few-shot class incre- mental learning with attention-aware self-adaptive prompt,
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:07:23.338910Z
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 d2713e3e-202c-4c36-a10a-75b6c0ecb11e · outbound
This paper cites Pre-train, prompt, and predict: A systematic survey of prompting methods in natu- ral language processing, 2021.
Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning Pre-train, prompt, and predict: A systematic survey of prompting methods in natu- ral language processing, 2021
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:07:23.212515Z
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 a72eb8a3-e8ef-4abf-ac6c-657a1904e481 · outbound
This paper cites InsVP: Efficient instance visual prompting from image itself.
Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning InsVP: Efficient instance visual prompting from image itself
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:07:23.098758Z
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 8399519b-dbea-4b08-8023-972c4820272e · outbound
This paper cites Recon- struction target matters in masked image modeling for cross- domain few-shot learning.
Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning Recon- struction target matters in masked image modeling for cross- domain few-shot learning
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:07:22.966575Z
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 4c8a73bc-7856-460d-b732-974e4a2075f2 · outbound
This paper cites Fine-grained visual classi- fication of aircraft, 2013.
Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning Fine-grained visual classi- fication of aircraft, 2013
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:07:22.840567Z
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 cf6b53e0-a5e5-45ac-bd73-c2d89ece80e5 · outbound
This paper cites Pseudo-set frequency refinement architecture for fine-grained few-shot class- incremental learning.
Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning Pseudo-set frequency refinement architecture for fine-grained few-shot class- incremental learning
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:07:22.718849Z
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 83a04789-629f-4588-8e00-471e6cd375f5 · outbound
This paper cites Pre-trained vision and language transformers are few-shot incremental learners, 2024.
Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning Pre-trained vision and language transformers are few-shot incremental learners, 2024
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:07:22.599278Z
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 9178a7b2-aae7-449b-95ef-f4f050c36c0f · outbound
This paper cites an unresolved cited work.
Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning Unresolved cited work
Reference 27
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T18:07:22.449754Z
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 63422164-3b1b-44ab-9fab-397300e4e474 · outbound
This paper cites Learning transferable visual models from natural language supervision, 2021.
Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning Learning transferable visual models from natural language supervision, 2021
Reference 28
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1108c845-5f47-46e5-9fe1-a8c1822b4c39 · outbound
This paper cites Self-supervised Knowledge Distillation for Few-shot Learning.
Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning Self-supervised Knowledge Distillation for Few-shot Learning
Reference 29
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9a89d6d0-49c4-4dff-9ca0-a57de4579892 · outbound
This paper cites an unresolved cited work.
Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning Unresolved cited work
Reference 30
- Resolution
- unresolved
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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 822ea5ab-fc9b-4fbf-86fe-050fbf8a603c · outbound
This paper cites Few-shot class incremental learning with generative feature replay.
Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning Few-shot class incremental learning with generative feature replay
Reference 31
- Resolution
- verified fuzzy
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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 a74801a5-473a-4f61-8db6-df27b5a08c1e · outbound
This paper cites Coda-prompt: Contin- ual decomposed attention-based prompting for rehearsal-free continual learning, 2023.
Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning Coda-prompt: Contin- ual decomposed attention-based prompting for rehearsal-free continual learning, 2023
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:07:21.691396Z
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 af1513f1-d717-4661-a23b-b7891ba49a53 · outbound
This paper cites Rethinking few-shot class-incremental learning: Learning from yourself.
Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning Rethinking few-shot class-incremental learning: Learning from yourself
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:07:21.428710Z
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 1a42d00f-a809-4704-b050-07402bac1e9d · outbound
This paper cites Few-shot class- incremental learning.
Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning Few-shot class- incremental learning
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:07:21.201570Z
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 10334259-7143-4d3d-8e0f-c28c20f7330f · outbound
This paper cites Matching networks for one shot learning, 2017.
Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning Matching networks for one shot learning, 2017
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:07:21.003868Z
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 784606c5-04ed-4743-b6cc-b8148e3bc38e · outbound
This paper cites Belongie.
Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning Belongie
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:07:20.825662Z
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 41989fd2-db3c-4ce8-af56-912e1e0f050a · outbound
This paper cites Foster: Feature boosting and compression for class- incremental learning, 2022.
Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning Foster: Feature boosting and compression for class- incremental learning, 2022
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:07:20.625286Z
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 413414ce-ea49-46c3-99d7-e44bafbf479f · outbound
This paper cites Hierarchical decomposition of prompt-based continual learning: Rethinking obscured sub- optimality, 2023.
Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning Hierarchical decomposition of prompt-based continual learning: Rethinking obscured sub- optimality, 2023
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:07:20.406796Z
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 a6329fe6-7392-4324-9e50-279eb912985e · outbound
This paper cites Few-shot class-incremental learning via training-free prototype calibration, 2023.
Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning Few-shot class-incremental learning via training-free prototype calibration, 2023
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:07:20.273270Z
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 2bcc4a9f-99de-4eaf-94c1-a8821f455bd7 · outbound
This paper cites On the approximation risk of few-shot class- incremental learning.
Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning On the approximation risk of few-shot class- incremental learning
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:07:20.099190Z
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 5b93e04b-d684-4de0-b201-4fb2b97344a3 · outbound
This paper cites S-prompts learning with pre-trained transformers: An occam’s razor for domain incremental learning, 2023.
Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning S-prompts learning with pre-trained transformers: An occam’s razor for domain incremental learning, 2023
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:07:19.895824Z
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 6637392d-7888-4aa4-8a54-2922cbd103a0 · outbound
This paper cites Dualprompt: Com- plementary prompting for rehearsal-free continual learning,.
Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning Dualprompt: Com- plementary prompting for rehearsal-free continual learning,
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:07:19.720214Z
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 8fa26a4b-2e60-4e8a-8cbf-07380b827481 · outbound
This paper cites Learning to prompt for continual learning, 2022.
Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning Learning to prompt for continual learning, 2022
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:07:19.455680Z
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 187acb10-0516-4df8-978a-2e302be17564 · outbound
This paper cites Dynamic sup- port network for few-shot class incremental learning.
Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning Dynamic sup- port network for few-shot class incremental learning
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:07:19.321055Z
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 75963f4f-d802-4b1f-9918-84c386ff1cb7 · outbound
This paper cites Neural collapse inspired feature- classifier alignment for few-shot class-incremental learning.
Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning Neural collapse inspired feature- classifier alignment for few-shot class-incremental learning
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:07:19.083351Z
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 feb64986-0a1e-4272-a6d9-50e4603e89a0 · outbound
This paper cites Few-shot incremental learning with contin- ually evolved classifiers.
Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning Few-shot incremental learning with contin- ually evolved classifiers
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:07:18.920885Z
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 99c33817-31d8-4e0f-b43b-089c8258258f · outbound
This paper cites Mi- haylova.
Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning Mi- haylova
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:07:18.695856Z
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 7d93c46b-6d93-416e-bf57-afa6b58b9b86 · outbound
This paper cites Few-shot class- incremental learning via class-aware bilateral distillation.
Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning Few-shot class- incremental learning via class-aware bilateral distillation
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:07:18.500704Z
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 cd6561ac-0ed2-4df0-872c-90be0f860ae3 · outbound
This paper cites Forward compatible few-shot class-incremental learning.
Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning Forward compatible few-shot class-incremental learning
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:07:18.317217Z
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 002cbd65-4373-4f6a-a79b-45485849cd93 · outbound
This paper cites Few-shot class-incremental learn- ing by sampling multi-phase tasks.
Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning Few-shot class-incremental learn- ing by sampling multi-phase tasks
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:07:18.112591Z
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 e7e2b6d6-72ce-4985-bcdd-5465de15e5f0 · outbound
This paper cites Delve into Base-Novel Confusion: Redundancy Exploration for Few-Shot Class-Incremental Learning.
Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning Delve into Base-Novel Confusion: Redundancy Exploration for Few-Shot Class-Incremental Learning
Reference 51
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T18:07:17.116083Z
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 68b34ac2-62ad-426f-a866-58b3e2c80147 · outbound
This paper cites Self-promoted prototype refinement for few-shot class- incremental learning, 2021.
Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning Self-promoted prototype refinement for few-shot class- incremental learning, 2021
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:07:17.949457Z
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 3f1ee996-475a-4611-bf9b-706fea45e0a6 · outbound
This paper cites Margin-based few-shot class-incremental learning with class-level overfitting mitigation.
Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning Margin-based few-shot class-incremental learning with class-level overfitting mitigation
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:07:17.770992Z
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 7b97481c-7fce-4867-8a17-b557a12aab8e · outbound
This paper cites Flatten long-range loss landscapes for cross-domain few- shot learning.
Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning Flatten long-range loss landscapes for cross-domain few- shot learning
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:07:17.603621Z
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 cd4a2307-2e85-4416-a7fd-eff26a60adc1 · outbound
This paper cites Atten- tion temperature matters in vit-based cross-domain few-shot learning.
Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning Atten- tion temperature matters in vit-based cross-domain few-shot learning
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:07:17.402987Z
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 aec7f8ef-4374-4eef-b14d-c37a6e8b47eb · outbound
This paper cites A closer look at the CLS token for cross-domain few-shot learning.
Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning A closer look at the CLS token for cross-domain few-shot learning
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:07:17.291276Z
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 9c932479-c6f7-4cdb-b7e8-d192ee161c5e · outbound
This paper cites Compositional Few-Shot Class-Incremental Learning.
Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning Compositional Few-Shot Class-Incremental Learning
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:07:16.895675Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.