Paper Citation Record · LEDGER

DPFormer: Dynamic Prompt Transformer for Continual Learning

As of 19 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2506.07414.

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

pith.paper-citation-record.v1
2506.07414 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:39:29.706259Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

47 of 47 outbound references displayed

verified exact1
verified fuzzy42
unresolved4
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f05705f1-6b83-4cb9-b4c6-5558519b953c · outbound

This paper cites How does a brain build a cogni- tive code?.

DPFormer: Dynamic Prompt Transformer for Continual Learning How does a brain build a cogni- tive code?

Reference 1

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Observation 3799fa6d-0e0f-4cfe-932f-f585ba4dd541 · outbound

This paper cites The stability-plasticity dilemma: Investigating the continuum from catastrophic forget- ting to age-limited learning effects,.

DPFormer: Dynamic Prompt Transformer for Continual Learning The stability-plasticity dilemma: Investigating the continuum from catastrophic forget- ting to age-limited learning effects,

Reference 2

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Observation a02a1367-973a-44ce-b1e3-7305f3fc8b8a · outbound

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

DPFormer: Dynamic Prompt Transformer for Continual Learning Continual lifelong learning with neural networks: A review,

Reference 3

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Observation 29d3a7a0-e130-45ba-b1dc-7c31ac382ece · outbound

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

DPFormer: Dynamic Prompt Transformer for Continual Learning Class-incremental learning: Survey and performance evaluation on image classification,

Reference 4

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Observation 994c592b-a0c7-4ac9-a163-27be4a0aa3de · outbound

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

DPFormer: Dynamic Prompt Transformer for Continual Learning icarl: Incremental classifier and representation learning,

Reference 5

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Observation d4e849cd-c087-4092-9484-adbb48071e85 · outbound

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

DPFormer: Dynamic Prompt Transformer for Continual Learning End-to-end incremental learning,

Reference 6

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Source-reported events for the cited work

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Observation 9d197250-cd39-4ac5-a4cc-e9e72635a0c3 · outbound

This paper cites Rie- mannian walk for incremental learning: Understanding forgetting and intransigence,.

DPFormer: Dynamic Prompt Transformer for Continual Learning Rie- mannian walk for incremental learning: Understanding forgetting and intransigence,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:39:37.344569Z

Source-reported events for the cited work

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Observation 8bcfb0ae-5ced-462c-9b15-3eea7d78e047 · outbound

This paper cites Experience replay for continual learning,.

DPFormer: Dynamic Prompt Transformer for Continual Learning Experience replay for continual learning,

Reference 8

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Observation b7317f9b-10e0-4708-8484-516d944c7841 · outbound

This paper cites Gdumb: A simple approach that questions our progress in continual learning,.

DPFormer: Dynamic Prompt Transformer for Continual Learning Gdumb: A simple approach that questions our progress in continual learning,

Reference 9

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Observation 0d975fee-a237-4bd2-a2cb-f9aff3b20715 · outbound

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

DPFormer: Dynamic Prompt Transformer for Continual Learning Class-incremental continual learning into the extended der- verse,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:39:36.472728Z

Source-reported events for the cited work

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Observation 7cb40f7c-f600-4699-9005-be41becc3301 · outbound

This paper cites Overcoming catastrophic forgetting in neural networks,.

DPFormer: Dynamic Prompt Transformer for Continual Learning Overcoming catastrophic forgetting in neural networks,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:39:36.277986Z

Source-reported events for the cited work

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Observation 3d321a62-391a-4151-b14d-b7be82c8022a · outbound

This paper cites Rotate your networks: Better weight consolida- tion and less catastrophic forgetting,.

DPFormer: Dynamic Prompt Transformer for Continual Learning Rotate your networks: Better weight consolida- tion and less catastrophic forgetting,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:39:36.120232Z

Source-reported events for the cited work

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Observation 90228487-8e75-472c-988d-06c2f24b9d27 · outbound

This paper cites Continual learning with ex- tended kronecker-factored approximate curvature,.

DPFormer: Dynamic Prompt Transformer for Continual Learning Continual learning with ex- tended kronecker-factored approximate curvature,

Reference 13

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Observation d6852f88-2c6c-4e80-9534-b6204ad42106 · outbound

This paper cites Continual learning through synaptic intelligence,.

DPFormer: Dynamic Prompt Transformer for Continual Learning Continual learning through synaptic intelligence,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:39:35.803066Z

Source-reported events for the cited work

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Observation 8b9dffd3-1264-47a2-8745-2a20534c3e49 · outbound

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

DPFormer: Dynamic Prompt Transformer for Continual Learning Memory aware synapses: Learning what (not) to forget,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:39:35.625308Z

Source-reported events for the cited work

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Observation 4e2be5f7-18f6-4619-9ece-a31ecf451e26 · outbound

This paper cites Learning without forgetting,.

DPFormer: Dynamic Prompt Transformer for Continual Learning Learning without forgetting,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:39:35.492644Z

Source-reported events for the cited work

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Observation ab149ad2-c5de-4e7c-8b7b-6c320132922e · outbound

This paper cites Class-incremental learning via deep model consolidation,.

DPFormer: Dynamic Prompt Transformer for Continual Learning Class-incremental learning via deep model consolidation,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:39:35.183752Z

Source-reported events for the cited work

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Observation 5d3e4e22-72c3-4fe0-919a-e683aab35e27 · outbound

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

DPFormer: Dynamic Prompt Transformer for Continual Learning Learning a unified classifier incrementally via rebalancing,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:39:35.348744Z

Source-reported events for the cited work

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Observation 43f83e4b-1dcc-4561-b378-5706cc87b47a · outbound

This paper cites Large scale incremental learning,.

DPFormer: Dynamic Prompt Transformer for Continual Learning Large scale incremental learning,

Reference 20

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Source-reported events for the cited work

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Observation 3b1e7c4d-e034-4ee9-9dbe-9dd85faf3108 · outbound

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

DPFormer: Dynamic Prompt Transformer for Continual Learning Maintaining discrimination and fairness in class incremental learning,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:39:34.823087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4be374f6-89d6-4963-b2e4-ee1f45f290d0 · outbound

This paper cites Podnet: Pooled outputs distillation for small-tasks incremental learning,.

DPFormer: Dynamic Prompt Transformer for Continual Learning Podnet: Pooled outputs distillation for small-tasks incremental learning,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:39:34.690745Z

Source-reported events for the cited work

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Observation 999574f6-7e9d-45f8-a871-f263a326bbcf · outbound

This paper cites Overcoming catastrophic forgetting with hard attention to the task,.

DPFormer: Dynamic Prompt Transformer for Continual Learning Overcoming catastrophic forgetting with hard attention to the task,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:39:34.562243Z

Source-reported events for the cited work

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Observation 1346eafb-71cf-4e0d-876b-98292199ee63 · outbound

This paper cites Achieving forgetting prevention and knowledge transfer in continual learning,.

DPFormer: Dynamic Prompt Transformer for Continual Learning Achieving forgetting prevention and knowledge transfer in continual learning,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:39:34.385507Z

Source-reported events for the cited work

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Observation ba61c546-6bb6-425f-b833-82a1a857feea · outbound

This paper cites Ternary feature masks: Zero-forgetting for task-incremental learning,.

DPFormer: Dynamic Prompt Transformer for Continual Learning Ternary feature masks: Zero-forgetting for task-incremental learning,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:39:34.230848Z

Source-reported events for the cited work

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Observation de9222af-80dd-4bc9-9dc5-a7214a35241a · outbound

This paper cites Self-growing binary activation network: A novel deep learning model with dynamic architec- ture,.

DPFormer: Dynamic Prompt Transformer for Continual Learning Self-growing binary activation network: A novel deep learning model with dynamic architec- ture,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:39:34.076352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9973b9a0-864b-4f1d-8cf2-e8635ca166da · outbound

This paper cites Ef- ficient feature transformations for discriminative and generative continual learning,.

DPFormer: Dynamic Prompt Transformer for Continual Learning Ef- ficient feature transformations for discriminative and generative continual learning,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:39:33.919391Z

Source-reported events for the cited work

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Observation 4f86153f-fd8b-459b-adb5-822720f8e15e · outbound

This paper cites Continual learning by using information of each class holistically,.

DPFormer: Dynamic Prompt Transformer for Continual Learning Continual learning by using information of each class holistically,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:39:33.735664Z

Source-reported events for the cited work

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Observation 3ea9f741-9b25-418b-9f98-f5a82e7fac86 · outbound

This paper cites Random path selection for incremental learning,.

DPFormer: Dynamic Prompt Transformer for Continual Learning Random path selection for incremental learning,

Reference 29

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Source-reported events for the cited work

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Observation 3eea49c4-e2f9-42f3-82e4-0c6bd655b4ce · outbound

This paper cites Der: Dynamically expandable represen- tation for class incremental learning,.

DPFormer: Dynamic Prompt Transformer for Continual Learning Der: Dynamically expandable represen- tation for class incremental learning,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:39:33.409456Z

Source-reported events for the cited work

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Observation 71447ec3-a2ec-46f9-9f64-e500ae3c3816 · outbound

This paper cites Preserving Earlier Knowledge in Continual Learning with the Help of All Previous Feature Extractors.

DPFormer: Dynamic Prompt Transformer for Continual Learning Preserving Earlier Knowledge in Continual Learning with the Help of All Previous Feature Extractors

Reference 31

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Source-reported events for the cited work

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Observation eb0d65e9-3a74-491b-9b38-3669cd8cb0dd · outbound

This paper cites Dytox: Trans- formers for continual learning with dynamic token expansion,.

DPFormer: Dynamic Prompt Transformer for Continual Learning Dytox: Trans- formers for continual learning with dynamic token expansion,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:39:33.203053Z

Source-reported events for the cited work

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Observation bffb04a0-23a6-4bb6-84e3-05a3d70842eb · outbound

This paper cites Transformer with task selection for continual learning,.

DPFormer: Dynamic Prompt Transformer for Continual Learning Transformer with task selection for continual learning,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:39:32.955494Z

Source-reported events for the cited work

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Observation 6342af6e-e5e6-4950-a1f8-6ce393f24a52 · outbound

This paper cites Herding dynamical weights to learn,.

DPFormer: Dynamic Prompt Transformer for Continual Learning Herding dynamical weights to learn,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:39:32.683519Z

Source-reported events for the cited work

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Observation f92bca87-4438-485d-9ee1-84e10f5ff331 · outbound

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

DPFormer: Dynamic Prompt Transformer for Continual Learning An image is worth 16x16 words: Transformers for image recognition at scale,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:39:32.430877Z

Source-reported events for the cited work

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Observation 0199c3ff-cd64-4d63-9417-5bc07dba2573 · outbound

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

DPFormer: Dynamic Prompt Transformer for Continual Learning A continual learn- ing survey: Defying forgetting in classification tasks,

Reference 36

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Source-reported events for the cited work

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Observation 6b549525-afce-405f-9547-899019e6304b · outbound

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

DPFormer: Dynamic Prompt Transformer for Continual Learning A comprehensive survey of continual learning: Theory, method and application,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:39:31.974755Z

Source-reported events for the cited work

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Observation 20ea2b9c-5dbe-4362-ac84-01b1e24b94e0 · outbound

This paper cites Distilling the knowledge in a neural network,.

DPFormer: Dynamic Prompt Transformer for Continual Learning Distilling the knowledge in a neural network,

Reference 38

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Source-reported events for the cited work

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Observation e4a43080-b393-4041-a07d-0cbe8f5dc012 · outbound

This paper cites Training data-efficient image transformers & distilla- tion through attention,.

DPFormer: Dynamic Prompt Transformer for Continual Learning Training data-efficient image transformers & distilla- tion through attention,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:39:31.728114Z

Source-reported events for the cited work

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Observation 0a1d6c17-2eab-4181-b892-abf69b4e9488 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows,.

DPFormer: Dynamic Prompt Transformer for Continual Learning Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:39:31.499122Z

Source-reported events for the cited work

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Observation cb239090-7edd-4980-afaf-d5a55afa4016 · outbound

This paper cites Neighborhood attention transformer,.

DPFormer: Dynamic Prompt Transformer for Continual Learning Neighborhood attention transformer,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:39:31.294538Z

Source-reported events for the cited work

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Observation aabc5b6d-7000-413a-a889-62ab41e277f1 · outbound

This paper cites Dilated Neighborhood Attention Transformer.

DPFormer: Dynamic Prompt Transformer for Continual Learning Dilated Neighborhood Attention Transformer

Reference 42

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Source-reported events for the cited work

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Observation b147b7e9-97e9-4563-a8e7-fa8757ffd1c8 · outbound

This paper cites Decoupled weight decay regulariza- tion,.

DPFormer: Dynamic Prompt Transformer for Continual Learning Decoupled weight decay regulariza- tion,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:39:31.114165Z

Source-reported events for the cited work

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Observation 857af88e-74f4-4c9b-898f-dbaafc0164cf · outbound

This paper cites ADMM- SRNet: Alternating direction method of multipliers based sparse representation network for one-class classification,.

DPFormer: Dynamic Prompt Transformer for Continual Learning ADMM- SRNet: Alternating direction method of multipliers based sparse representation network for one-class classification,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:39:30.910066Z

Source-reported events for the cited work

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Observation 56cb9e05-d895-42f1-aaed-1a9f61150062 · outbound

This paper cites Mixup: Beyond empirical risk minimization,.

DPFormer: Dynamic Prompt Transformer for Continual Learning Mixup: Beyond empirical risk minimization,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:39:30.646154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 72b0317f-9e35-4e41-a1d9-3fb9a5096a91 · outbound

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

DPFormer: Dynamic Prompt Transformer for Continual Learning Learning multiple layers of features from tiny images,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T05:39:29.528212Z

Source-reported events for the cited work

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Observation b4c23d1b-bfab-4206-b53f-a05e850798b4 · outbound

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

DPFormer: Dynamic Prompt Transformer for Continual Learning Im- agenet: A large-scale hierarchical image database,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:39:30.422266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 976112a1-9a7b-4ce3-a4f8-6fb1c6109de0 · outbound

This paper cites His research in- terests include computer vision, computer graphics, multimedia signal processing, image processing, and medical image processing.

DPFormer: Dynamic Prompt Transformer for Continual Learning His research in- terests include computer vision, computer graphics, multimedia signal processing, image processing, and medical image processing

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:39:30.180166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

No inbound Pith citation observations are available.