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Paper Citation Record · LEDGER

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection

As of 9 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 2 inbound Pith citation observations for arXiv:2506.00406.

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

pith.paper-citation-record.v1
2506.00406 v1

Coverage vector

measured 61 of 61 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:09:57.503467Z

measured 63 of 63 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T22:13:34.998844Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T04:47:37.900719Z

Reference resolution

61 of 61 outbound references displayed

  • verified exact1
  • verified fuzzy31
  • unresolved29
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8a7e9de6-b745-4dd8-98f6-ff5398008616 · outbound

This paper cites Flamingo: a visual language model for few-shot learning.

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection Flamingo: a visual language model for few-shot learning

Reference 1

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no resolver link, observed 2026-08-07T12:09:51.265761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:09:51.265761Z digest=sha256:e1bc45d2e36610d0e30086a5d324d98f76f58fc603d11ed7cfddfee7c2e8e8bb

Observation 4865df6d-f57e-4584-a17a-32f7cf1aaff4 · outbound

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

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection Memory aware synapses: Learning what (not) to forget

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:10:07.813846Z

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.

source=arxiv_source observed=2026-08-07T12:09:51.316837Z digest=sha256:66dd1af9d815a962f8d9cb6f5a7c7e4e04c02380a297c389eb3bf9b790387616

Observation 3f093b5e-8b77-43eb-b4c7-98ce9d55bb62 · outbound

This paper cites J., Fern \'a ndez-Esparrach, G., Gil, D., Rodr \' guez, C., and Vilari \ n o, F.

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection J., Fern \'a ndez-Esparrach, G., Gil, D., Rodr \' guez, C., and Vilari \ n o, F

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-07T12:10:07.658310Z

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.

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Observation adf83d29-f78b-4a63-930a-cc4979b6d83b · outbound

This paper cites C., Collins, D.

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection C., Collins, D

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:10:07.500367Z

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.

source=arxiv_source observed=2026-08-07T12:09:51.530048Z digest=sha256:02669ddbdf808c1dd103a517414cfa73e8d91b2df4c4eec9df09a8233af683fa

Observation b4411f91-5a08-4b0a-ad8f-d8e99ec8732d · outbound

This paper cites End-to-end object detection with transformers.

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection End-to-end object detection with transformers

Reference 5

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no resolver link, observed 2026-08-07T12:09:51.742625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:09:51.742625Z digest=sha256:963fefbea1faa71cf0f8b0cb814ad8d5a2e2bbf157f8fe99764c558177cdf509

Observation 12745709-4332-4edb-ab9f-343fb022524a · outbound

This paper cites D., Pappachan, J.

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection D., Pappachan, J

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:10:07.339984Z

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.

source=arxiv_source observed=2026-08-07T12:09:52.263588Z digest=sha256:50dc11a5a60d98d32d4b5e9bdb2d246140204ba22126dd63db4ea5c8351ab81c

Observation 76c3c548-d25b-42e7-bfff-d3e433b652c2 · outbound

This paper cites Yolo-world: Real-time open-vocabulary object detection.

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection Yolo-world: Real-time open-vocabulary object detection

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:10:07.095457Z

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.

source=arxiv_source observed=2026-08-07T12:09:53.006218Z digest=sha256:fe17810eea5e933ed37e2126c7675127aabe08695b69763b7cfe240c2efe8f0d

Observation fac2a35e-ee2a-409c-9bb0-c147a2271d3d · outbound

This paper cites Zero-shot Generalizable Incremental Learning for Vision-Language Object Detection.

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection Zero-shot Generalizable Incremental Learning for Vision-Language Object Detection

Reference 8

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no resolver link, observed 2026-08-07T12:09:53.113192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:09:53.113192Z digest=sha256:594f37203dff0c5aad92a602bbe606530a3e26715869f74f22887adc59ed1da0

Observation d6ace3cd-8c10-4bf1-aa31-cd05094396df · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 9

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unresolved
no resolver link, observed 2026-08-07T12:09:53.261357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:09:53.261357Z digest=sha256:a43c3186c50ec32b226438eb01fb549c63b18619a4387dda64b088c519852172

Observation da1c2c62-0633-40ff-bca9-a282f8048de9 · outbound

This paper cites Don't Stop Learning: Towards Continual Learning for the CLIP Model.

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection Don't Stop Learning: Towards Continual Learning for the CLIP Model

Reference 10

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no resolver link, observed 2026-08-07T12:09:53.347856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:09:53.347856Z digest=sha256:06567916e3ef0a1154a010fb10bd052caadca133dfe85d32b05a3679f7b874f6

Observation 7b4ea1dd-93a2-4546-b9f7-c952b7df4fb3 · outbound

This paper cites Dytox: Transformers for continual learning with dynamic token expansion.

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection Dytox: Transformers for continual learning with dynamic token expansion

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:10:06.910479Z

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.

source=arxiv_source observed=2026-08-07T12:09:53.460478Z digest=sha256:792b843459fea1b60180f6811047ba54a71081409c9f7b3cba4c47129de94ce1

Observation f3bfa260-3b68-4b89-8cd2-b0a1c655f739 · outbound

This paper cites Multi-task learning for thyroid nodule segmentation with thyroid region prior.

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection Multi-task learning for thyroid nodule segmentation with thyroid region prior

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:10:06.732854Z

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.

source=arxiv_source observed=2026-08-07T12:09:53.566300Z digest=sha256:2654c5e96ed8894bf191a0ff3c7a1340e0fd1457e458b1a426db34b42e12e8c7

Observation a698e40e-ed80-4324-b95f-9a34b7e5eaa4 · outbound

This paper cites Multiple prompt fusion for zero-shot lesion detection using vision-language models.

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection Multiple prompt fusion for zero-shot lesion detection using vision-language models

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:10:06.565353Z

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.

source=arxiv_source observed=2026-08-07T12:09:53.684190Z digest=sha256:4ea2fd284e925a99b601c7eae1d3860092b003a2630675de303ed0f052ebd114

Observation bca62f34-9983-4b60-8047-5cac9c8e506c · outbound

This paper cites Towards a Unified View of Parameter-Efficient Transfer Learning.

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection Towards a Unified View of Parameter-Efficient Transfer Learning

Reference 14

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unresolved
no resolver link, observed 2026-08-07T12:09:53.778616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:09:53.778616Z digest=sha256:bb28e964214dad2d273acfd8e4b9128763920df31dfcb0c9444933e5cd0f34cd

Observation f008cf80-2d98-4b11-9dba-ab585b92a68e · outbound

This paper cites H., Riegler, M.

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection H., Riegler, M

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:10:06.422643Z

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.

source=arxiv_source observed=2026-08-07T12:09:53.889964Z digest=sha256:ef111058816eae8fd847d6278845f44bd56da3d3fc0d7f15b702050c9ce3e80f

Observation 2220893a-4e81-4838-ae39-7f8a1a083d72 · outbound

This paper cites Video polyp segmentation: A deep learning perspective.

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection Video polyp segmentation: A deep learning perspective

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:10:04.809466Z

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.

source=arxiv_source observed=2026-08-07T12:09:53.972211Z digest=sha256:8050e511150b1320cdc59ead8bd418bced627538e2b95ed427b8a3f02391ff6c

Observation 3b9f6085-9107-457d-811b-b611e04e2082 · outbound

This paper cites Visual prompt tuning.

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection Visual prompt tuning

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:10:04.043975Z

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.

source=arxiv_source observed=2026-08-07T12:09:54.044809Z digest=sha256:8ea707260926804bcac4b428284ef6b7e1a11e062ad71f529b6a23291ab45bf1

Observation 82da26d7-cbbb-43ae-b730-de495b3a243d · outbound

This paper cites an unresolved cited work.

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection Unresolved cited work

Reference 18

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unresolved
raw_fallback, observed 2026-08-07T12:10:03.713335Z

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.

source=arxiv_source observed=2026-08-07T12:09:54.120989Z digest=sha256:b65fc7fc477bfa47291ed594bc9e2347e54fca28de681a34ff9041d31bc918c2

Observation 8e90a9cb-3c58-4b51-a919-1a49d5a03239 · outbound

This paper cites A., Milan, K., Quan, J., Ramalho, T., Grabska-Barwinska, A., et al.

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection A., Milan, K., Quan, J., Ramalho, T., Grabska-Barwinska, A., et al

Reference 19

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unresolved
no resolver link, observed 2026-08-07T12:09:54.221257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:09:54.221257Z digest=sha256:05e0845ceb632edf084448557b6deb1faae3cfe6346739d592db54263b08cc30

Observation fcbc2e3c-7b1c-4c9d-bc1d-0f9e7f3595d2 · outbound

This paper cites A two-stream continual learning system with variational domain-agnostic feature replay.

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection A two-stream continual learning system with variational domain-agnostic feature replay

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:10:03.420268Z

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.

source=arxiv_source observed=2026-08-07T12:09:54.295392Z digest=sha256:c317f376a73f355cea02808c13f366d90369f5b0249b6213f8c84db370e2031f

Observation ace32207-91ef-4d29-8bc3-4c80b7af9311 · outbound

This paper cites Focl: Feature-oriented continual learning for generative models.

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection Focl: Feature-oriented continual learning for generative models

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:10:03.129160Z

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.

source=arxiv_source observed=2026-08-07T12:09:54.370065Z digest=sha256:4621a21289cfbcc362f00e75774e979c51543ed5fbcfe651ba2b5408800d7de7

Observation 4d8552f8-9826-4986-b2f2-3f4a9912fa28 · outbound

This paper cites Mixture of Experts Meets Prompt-Based Continual Learning.

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection Mixture of Experts Meets Prompt-Based Continual Learning

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T12:09:54.445777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:09:54.445777Z digest=sha256:4bc695600da51d2092ae0097a185c535be5cb34eed90c1dab28320fbbafb745a

Observation 87dfc384-d863-414a-8909-ac2f6d14d53f · outbound

This paper cites an unresolved cited work.

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection Unresolved cited work

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T12:09:54.528220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:09:54.528220Z digest=sha256:db4aa1f10e290a9a0c27ca3dbf3c4f250b5192ba4ef75ad02ce9f43aaf09d8c2

Observation 53664c71-6f43-4ac9-82ab-601fcbc17bb2 · outbound

This paper cites H., Zhang, P., Zhang, H., Yang, J., Li, C., Zhong, Y., Wang, L., Yuan, L., Zhang, L., Hwang, J.-N., et al.

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection H., Zhang, P., Zhang, H., Yang, J., Li, C., Zhong, Y., Wang, L., Yuan, L., Zhang, L., Hwang, J.-N., et al

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:10:02.844206Z

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.

source=arxiv_source observed=2026-08-07T12:09:54.597930Z digest=sha256:248a62afbf4d26c9cb882b602b78ae7fd64b8d5f17d04a9792aa385f4f36560e

Observation 36397c11-7bd6-42e9-a968-b61f27cd690d · outbound

This paper cites Learn to grow: A continual structure learning framework for overcoming catastrophic forgetting.

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection Learn to grow: A continual structure learning framework for overcoming catastrophic forgetting

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:10:02.648843Z

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.

source=arxiv_source observed=2026-08-07T12:09:54.686197Z digest=sha256:e42559312327398c0aa182eb5634687c965d9545d688e07f792e583c8329c986

Observation 146b0cec-c3c2-4593-b590-821604f0f975 · outbound

This paper cites and Hoiem, D.

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection and Hoiem, D

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T12:09:54.808006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:09:54.808006Z digest=sha256:ec828c6c26a6ffe483a97c24b6884870fd6cb30b305bc43f25e015b96ed1d60c

Observation 17ca8cb7-b697-419f-aae0-eaf234109321 · outbound

This paper cites an unresolved cited work.

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection Unresolved cited work

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T12:09:54.880910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:09:54.880910Z digest=sha256:f7f3d2c21361265adce18012ef2ba914dbd88bda37d90f59bc12741525a582f1

Observation f1326614-6126-4f58-a76b-1613313037f4 · outbound

This paper cites Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T12:09:54.991434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:09:54.991434Z digest=sha256:3e2cea9606ee2552643f587ff8376c305055aa58b0e4f5af48a48b0bc5814119

Observation 5cec2343-137b-45dd-99c5-961fa91bdd31 · outbound

This paper cites Grounding dino: Marrying dino with grounded pre-training for open-set object detection.

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection Grounding dino: Marrying dino with grounded pre-training for open-set object detection

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:10:02.421430Z

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.

source=arxiv_source observed=2026-08-07T12:09:55.056165Z digest=sha256:4754ee319dc8d43ba4d599fbad7f0a0b80b3826c47ffa50a1ffdbf083591ed6c

Observation 3245d571-26ab-4ef4-87a4-98375ec5bb76 · outbound

This paper cites Rethinking computer-aided tuberculosis diagnosis.

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection Rethinking computer-aided tuberculosis diagnosis

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:10:02.190057Z

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.

source=arxiv_source observed=2026-08-07T12:09:55.169499Z digest=sha256:67985396ad02b2c9e9ff87d413eaa92cd54daec9ff9e5a70865707c3f2a045b1

Observation 871d9dca-ebb5-438a-895d-314bdb3af4cc · outbound

This paper cites Continual detection transformer for incremental object detection.

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection Continual detection transformer for incremental object detection

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:10:01.861896Z

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.

source=arxiv_source observed=2026-08-07T12:09:55.279588Z digest=sha256:dca8165b8fb1e7e79620d569ebc8631488517f55398815b1907de9253b0fa924

Observation 79b72d08-a15d-4346-a9c7-096388532cf7 · outbound

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

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection Swin transformer: Hierarchical vision transformer using shifted windows

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T12:09:55.363395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:09:55.363395Z digest=sha256:aaf7e240b12f4a9d19df0864f9961b5aeaf62673ff73daab2fa6ad2cf56a5f5c

Observation 0b418be5-fd00-47d5-8ff6-e54f4dcb74df · outbound

This paper cites and Ranzato, M.

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection and Ranzato, M

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T12:09:55.479607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:09:55.479607Z digest=sha256:0b8aaece9bc695881e4705a0952848bf80774680748a86ff2240c4ecd74b675d

Observation 9011382f-ca49-46b8-a432-332a8517d115 · outbound

This paper cites Decoupled Weight Decay Regularization.

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection Decoupled Weight Decay Regularization

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T12:09:55.567969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:09:55.567969Z digest=sha256:a889d33fb1f9dcbec720dfba9e1c8083b1a2dc0afb4de7c0e6905bfc2fea8d64

Observation 6be747ee-56c6-4d60-96eb-f7b42c3ed999 · outbound

This paper cites Segment anything in medical images.

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection Segment anything in medical images

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T12:09:55.650256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:09:55.650256Z digest=sha256:8b8ba41b9a185ab5b43abc4465f98d05ef104c3ac8765791df9bbfe6209568a0

Observation 66d76e1d-6a20-4d43-b974-b6a51370a62f · outbound

This paper cites and Lazebnik, S.

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection and Lazebnik, S

Reference 36

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unresolved
no resolver link, observed 2026-08-07T12:09:55.739836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:09:55.739836Z digest=sha256:0851da43c3806f55a60c83c4f08c790a4bc88c8761a259df66b730a411cc537a

Observation 9a1abcf9-1b88-45d1-aa73-c9ab994331c2 · outbound

This paper cites S., Hang, D.

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection S., Hang, D

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:10:01.529806Z

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.

source=arxiv_source observed=2026-08-07T12:09:55.810308Z digest=sha256:ca4e25649fe16860fcde16d8b64551babf58841c04d0d92a2f3e5f8049adaddf

Observation 74c13b58-ea20-40aa-9236-8569bba269b0 · outbound

This paper cites Medical image understanding with pretrained vision language models: A comprehensive study.

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection Medical image understanding with pretrained vision language models: A comprehensive study

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:10:01.240752Z

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.

source=arxiv_source observed=2026-08-07T12:09:55.882246Z digest=sha256:a7885176aed9c2b9411a80e06e669f5626c93f3b6c26f7eff78da508741d36de

Observation 567545f2-ef72-4857-9d60-05ac17868b6a · outbound

This paper cites W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al.

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T12:09:55.965405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:09:55.965405Z digest=sha256:c5c35fe14788a5323abcbf77ef3667eb30df20acd23c2b1ea05435bf7aaf9c52

Observation 4fe2f304-ef7c-4c51-bf3b-b1c2a9bc1e6c · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection SAM 2: Segment Anything in Images and Videos

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T12:09:56.030231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:09:56.030231Z digest=sha256:b0aeab9f11cf087b458733d154474b71f727a7e971197b0cb9bf5dfc77170884

Observation b43d3a68-5d98-499c-9499-e7b72889fdab · outbound

This paper cites an unresolved cited work.

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:10:01.024764Z

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.

source=arxiv_source observed=2026-08-07T12:09:56.121393Z digest=sha256:44a1ee9366cde8f7c80cce92ad973ec9a079c5a22d4f7c302847cad1ec31f8ef

Observation 0567b45d-f88f-4238-ba72-88302d8a934c · outbound

This paper cites Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks.

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T12:09:56.236902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:09:56.236902Z digest=sha256:48b6785685601dc4f35a58c6e6c52872771c79642648f6e14f407f0f9b8e8439

Observation 2a91b72e-0252-4dd4-b6ce-ab3f8a2e6ab1 · outbound

This paper cites Experience replay for continual learning.

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection Experience replay for continual learning

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T12:09:56.309861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:09:56.309861Z digest=sha256:83e5c820069f81a8db65c3b0b8a723937faceeb482e8758f7b067b15da96540a

Observation 8b027420-6d22-4147-b237-b5acdb56f34a · outbound

This paper cites an unresolved cited work.

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:10:00.797204Z

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.

source=arxiv_source observed=2026-08-07T12:09:56.393957Z digest=sha256:10db30682656f2ad0743fb25d59deca2c83a8f41027315efe1368b024fd93f5a

Observation 863411e7-45e0-415f-ba2c-93c8b0f943a8 · outbound

This paper cites Objects365: A large-scale, high-quality dataset for object detection.

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection Objects365: A large-scale, high-quality dataset for object detection

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:10:00.636082Z

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.

source=arxiv_source observed=2026-08-07T12:09:56.451419Z digest=sha256:876e6aa5999764a630a97677a0408291654962d65a454a8c2513f9456cb00010

Observation 18e22af2-91b6-4cd4-8a73-97409b6c680b · outbound

This paper cites K., Kim, J., and Kim, J.

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection K., Kim, J., and Kim, J

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:10:00.423837Z

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.

source=arxiv_source observed=2026-08-07T12:09:56.508095Z digest=sha256:83bfa676ac8c5142092fe2f25202b8ed3a4ce242aab54ac57df7c945dcc37352

Observation 2d253b15-57c0-4609-827a-cfa765716f64 · outbound

This paper cites Incremental learning of object detectors without catastrophic forgetting.

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection Incremental learning of object detectors without catastrophic forgetting

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:10:00.264979Z

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.

source=arxiv_source observed=2026-08-07T12:09:56.577644Z digest=sha256:dee3667b4c2a3b13b1f317f3e4a3c62f37fbbbfe72de8a6200731cb2829b918c

Observation fc59b6d5-53a0-45be-b3cf-02355a1bf3cb · outbound

This paper cites S., Karlinsky, L., Gutta, V., Cascante-Bonilla, P., Kim, D., Arbelle, A., Panda, R., Feris, R., and Kira, Z.

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection S., Karlinsky, L., Gutta, V., Cascante-Bonilla, P., Kim, D., Arbelle, A., Panda, R., Feris, R., and Kira, Z

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:10:00.094312Z

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.

source=arxiv_source observed=2026-08-07T12:09:56.669407Z digest=sha256:227600dc90882834d55c4f45326d2e78a896e40d398f5b870c39805575c223d8

Observation 4ad9fa0a-9467-4c5b-942a-82254a81862a · outbound

This paper cites Mind the interference: Retaining pre-trained knowledge in parameter efficient continual learning of vision-language models.

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection Mind the interference: Retaining pre-trained knowledge in parameter efficient continual learning of vision-language models

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:09:59.883201Z

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.

source=arxiv_source observed=2026-08-07T12:09:56.727971Z digest=sha256:0e871124f2ae60de991f454a79c70b8b6c99b2a0c4049acf0e819738a2b7cc39

Observation 6c169a81-7173-4b15-8908-11a7d4f7f301 · outbound

This paper cites D., Graham, S., Kurc, T., To, M.

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection D., Graham, S., Kurc, T., To, M

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:09:59.652530Z

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.

source=arxiv_source observed=2026-08-07T12:09:56.780517Z digest=sha256:6788ccf243e2aa2f1fb5c7addb927d5c797b731f7e2fb035f7ef42aaeedba7fa

Observation 17ff155c-698c-488b-ac26-38afc9d79fe9 · outbound

This paper cites S-prompts learning with pre-trained transformers: An occam’s razor for domain incremental learning.

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection S-prompts learning with pre-trained transformers: An occam’s razor for domain incremental learning

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:09:59.462124Z

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.

source=arxiv_source observed=2026-08-07T12:09:56.847092Z digest=sha256:42c3a8d73bde3266fdb5f935eba26f52ba119eea9a7870c7d53be2b182fdcff0

Observation 01ae126f-61f4-4923-882d-77089a1fec6a · outbound

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

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection Dualprompt: Complementary prompting for rehearsal-free continual learning

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:09:59.274206Z

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.

source=arxiv_source observed=2026-08-07T12:09:56.908401Z digest=sha256:11fba3b8c03f9fcdae4f6febfcd3a5ca2ef118044b2871e31660128b0038f8f8

Observation c300f5af-6882-42bc-94ec-10e93e54775a · outbound

This paper cites Learning to prompt for continual learning.

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection Learning to prompt for continual learning

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:09:58.996457Z

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.

source=arxiv_source observed=2026-08-07T12:09:56.995724Z digest=sha256:838ed1fa3894d81dc4fad5e2a509ed6a25cda4e02489e8206e0dacf82d2f87ea

Observation d2df0a7c-c5a0-4694-a406-41b9bc4ba370 · outbound

This paper cites W., Li, M., Kornblith, S., Roelofs, R., Lopes, R.

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection W., Li, M., Kornblith, S., Roelofs, R., Lopes, R

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-07T12:09:57.073423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:09:57.073423Z digest=sha256:6a11bc4b09f0e6dfd4547e6893c5854347f59cdb9b2733ea42720fb3b19b8d9a

Observation 889cd6ce-a319-4d6c-84b6-9306baa2fdc6 · outbound

This paper cites an unresolved cited work.

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:09:58.700336Z

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.

source=arxiv_source observed=2026-08-07T12:09:57.139261Z digest=sha256:c5e6e9717a5f1949dc8b04f0c7cb262020d0f515e0d95edcb2b6315c080ca7e4

Observation f7b1d921-107a-494f-9ebb-af25e3bafdae · outbound

This paper cites Multi-modal queried object detection in the wild.

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection Multi-modal queried object detection in the wild

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:09:58.385113Z

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.

source=arxiv_source observed=2026-08-07T12:09:57.198283Z digest=sha256:efefd2aa2b221494c654cc792b8907839a2a00d62fc78eed4921edc5f1a283a3

Observation ba9e61a4-2e08-4aed-ab41-7f75ac71c8ae · outbound

This paper cites Continual self-supervised learning: Towards universal multi-modal medical data representation learning.

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection Continual self-supervised learning: Towards universal multi-modal medical data representation learning

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:09:58.066800Z

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.

source=arxiv_source observed=2026-08-07T12:09:57.286656Z digest=sha256:2647b19b3427b6fc090b93370c419639fbd4e4bba4e0bb8c30989c2a08edfefa

Observation c805b899-ce14-42d5-97f5-9194ffe5b821 · outbound

This paper cites Towards General Purpose Medical AI: Continual Learning Medical Foundation Model.

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection Towards General Purpose Medical AI: Continual Learning Medical Foundation Model

Reference 58

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:09:57.676160Z

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.

source=arxiv_source observed=2026-08-07T12:09:57.354643Z digest=sha256:12f5021b9e8dd648ce9e2fedc7e0ee04757b50d86979643d2d67099e0dcea91f

Observation e0e3e3c4-82a7-443a-ac4f-3e098325210e · outbound

This paper cites Lifelong Learning with Dynamically Expandable Networks.

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection Lifelong Learning with Dynamically Expandable Networks

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-07T12:09:57.413061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:09:57.413061Z digest=sha256:d1a2b8be2d0f3d7bd6b10ddf77720e38e1e3e6725b018dd78982940580c09f09

Observation a0e7bfcc-444b-442b-95f3-f8d954c20348 · outbound

This paper cites Medical SAM 2: Segment medical images as video via Segment Anything Model 2.

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection Medical SAM 2: Segment medical images as video via Segment Anything Model 2

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-07T12:09:57.443836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:09:57.443836Z digest=sha256:2c0f3e4fef9f3691d16a0fd595da4828cb876fab4c258759856269dbcf114df8

Observation b1963ded-3caa-43ae-93ae-a758bf1f762f · outbound

This paper cites write newline.

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection write newline

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-07T12:09:57.503467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:09:57.503467Z digest=sha256:0a5363724440d1cf2edcc113de2f513f9f5a84a15a970388c1051335b14a562c

Pith citing papers

Observation 1d80765e-c5cc-49b7-a98b-77fcab2c0545 · inbound

CL-CLIP: CLIP-Based Continual Learning Framework with Cost-Volume Category Decoupling for Object Detection cites this paper.

CL-CLIP: CLIP-Based Continual Learning Framework with Cost-Volume Category Decoupling for Object Detection iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-07-02T17:07:12.585275Z

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.

source=pdf_text observed=2026-06-27T22:13:34.998844Z digest=sha256:3670befee82daefbd360974143f47276055d1aa1de88b84bc12587481cc9c133

Observation d3fa6e19-6912-4ce1-a194-952087767598 · inbound

Listen, Look, and Learn: Learning Without Forgetting through SAM-Audio cites this paper.

Listen, Look, and Learn: Learning Without Forgetting through SAM-Audio iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-07-03T04:47:37.902301Z

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.

source=pdf_text observed=2026-06-27T13:40:37.935772Z digest=sha256:b507cc2014d6cc05f590554b1ffd8672f6bf652f696ccaeba8a80bd60664480b