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Paper Citation Record · LEDGER

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection

As of 19 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 2026-08-19T06:32:44.657259+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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unresolved
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=sha256:41a2c670cc37afafc9fff4aa1e072774c6a6d8719fd91d849ba6c3b9ca08b899

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T12:09:51.316837Z digest=sha256:f027499a0e117bc199da78dbb42c2c95a08dcf799498199c2e5828e9e36b63bb

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

Resolution
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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T12:09:51.427700Z digest=sha256:d7be4f458440b605daa52a77916f9a8412cbe36641d49eacc8d00a3c600da400

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T12:09:51.530048Z digest=sha256:83ec792351ccde93dff791827f2afd63abf0f8d216fb17ceffb25e1374debb88

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=sha256:3566646b410a5ec641a81ed186b16566af3deba8367e5a6c2120978b431c3512

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T12:09:52.263588Z digest=sha256:9b45301bc14fcfc022bf35344b8dd5faf55b45945ef4cbb74a16caf129a4c295

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T12:09:53.006218Z digest=sha256:d565011a770322e465ae01755afdc6200eeef05bc3b2cc75d28aa814bc6d3890

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:ca076d4ac97149a467a36491b85caf490df2be3020bbf9f66ecf8438f730a145

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:f965e0d33986e9d6c39380563e0d4b81e5216917d361e8718c9217213a8a32cf

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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unresolved
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=sha256:09118efeca71ca057816ab4648179e51fa5e23d14df4a153463211d5d67080f7

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T12:09:53.460478Z digest=sha256:e882423f48ee518cac72e5e5494e9139ab49bc4fddeb57c5196d83add85655f1

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T12:09:53.566300Z digest=sha256:349bb21c9da5bbf76ee31e765a662fc269adda905e2ed9e970d496ae96f1a52d

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T12:09:53.684190Z digest=sha256:13a7e88f1403c215a5727de6f2d3e40640cd76ac42d0a6f3136644de3a8973eb

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=sha256:51fa13c8cea7af5d77ea2519f4b02f8fd4f994bdbeaf7d0d06d534b1d0d733e5

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T12:09:53.889964Z digest=sha256:79b468c66d1d98ed30c553a6848fa7658999ec42b265928c5ac28b7c89be0d0d

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T12:09:53.972211Z digest=sha256:7f4eea2d22a58f64cde1055cfd208892a1d25beafff3c63d8993984193b7e53f

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T12:09:54.044809Z digest=sha256:fee0c950c71541829039baffaf1818b11ab48176e2dc89f65471fbb4c835f984

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T12:09:54.120989Z digest=sha256:763b7db294bae14d398f61b6f6315482119f7ebff992c972db0ad9bceaf1503c

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

Resolution
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=sha256:2499daf7f8feccdb537f600652074832a0bbd24d24d768f0518ca303c5003ba6

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T12:09:54.295392Z digest=sha256:d7bf2c96c338eadf80308015639c3eb4cb2abf847939aef3f3b86b551c767ae7

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T12:09:54.370065Z digest=sha256:a69834eb082f51b22f5756b9a8573f2acdb362b941e365ae4275f0d0a9b78364

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:a6636ab4a0a9aef8fd1fdbd61c62314afbcd3cf31ed48cdb581b20b2e5ac89c2

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=sha256:534ca5af4a9071caf8b7667eee88c492bb87d2a5c82732ee4b488bd66cb22865

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T12:09:54.597930Z digest=sha256:0015e266010cd75de88448f065e31d0ffdf061d181d130133fdbedc1364c1b4f

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T12:09:54.686197Z digest=sha256:1d70f49d61bd9aa5cc91ebee4c36e2e923657c27953fa1f312c183ce4a7b0726

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:a17e588af6c5c5a416bc0df1e8aa37742077c7312fef2a0527e804b42aced348

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:bc53b89c38f5dc3b0f63ec476cf08f0042a13878d530a1cd91dec77f81b7a750

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:ee088832efa894884de9d91beb228b59f0e38670a56843f07dc0181edcdf9eeb

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T12:09:55.056165Z digest=sha256:c12df36ec8569aaed05e8b6380a6405d7295d7d199c329228d16d105b2eea03b

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T12:09:55.169499Z digest=sha256:820c82360aba7bd206033156d68988c3a3cd9c288636c46daa71149c0a3899af

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T12:09:55.279588Z digest=sha256:af36f57c1ddbf6f2bd4f92701449f75c6c1f431171681edc6a291c1084246f26

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=sha256:896fdbae1d568a07f41b44e7ffc055675b0ccd5eb6cd0802733e6b704c9a9759

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:a9e67d0915b0999e77a48493f30300824b7468919cf84f4e9993095131e57077

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:c828815b307735960956251220ac144435fcc96ec017d5cf6037845dcaad72b1

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=sha256:97eb0d810157bf60a2a0f746f065d4f6be1715d688c17948e790b010b842f90c

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

Resolution
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=sha256:98fac71dc19129c3d8fc764dcabab279eac37fe7d4ef8f0f4cc24f8e27d074a6

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T12:09:55.810308Z digest=sha256:6de5c5abd2a7e1dc0bdc815c38f5e7844dbbdb3eba1ec460078400ecb153e4c7

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T12:09:55.882246Z digest=sha256:d9f9c73a0945aaf9d4b75b7cbb766f3ad38d92a8f0daccd64bfed69d0c40aa41

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=sha256:4141f8e4a4a470a95aa260dfa22559e99c2daf5a97e999df7c2930de2c6a8da5

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=sha256:4127f59c78f6072deccd9b7a4319a9e5454959ef679cd966cde7990ab1d3e8b1

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T12:09:56.121393Z digest=sha256:92a059c093e44f3738089e6c95d9f80f3cacb8aa20913aab4d8040535e72ee89

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=sha256:1ad1cc50029be1f12fc6c30c55c620b5f63452182bec7771ff22ff7b6b7a78b8

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=sha256:35336f370e2d97c184dd33f97f62790be0b39d571d7802053c882c299f27b148

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T12:09:56.393957Z digest=sha256:820847554b137558aec048a2e2e6c9e8705bef85b93b21906904fd87f3b3c8f8

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T12:09:56.451419Z digest=sha256:cabb409853a43a1b6a8172d8f1cde9860a0d76566873710c5431b2f1681a67ac

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T12:09:56.508095Z digest=sha256:dfcce6908bd2ded79c40fb7a90ffdd2da042f4b6f03b9e0843c59f1949ae88be

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T12:09:56.577644Z digest=sha256:75dd41214d18ae99b89fd27c487cc7fae577f9a05192332d2cdc6abdfcd62160

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T12:09:56.669407Z digest=sha256:8357b57ee947cd92437b65c699dea1324862a54e98e1f9623dc1b0fe0df823dd

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T12:09:56.727971Z digest=sha256:7c9b4a4b52bf7cc093a70124b7176f1d9fddf7de392d9aee8ee03e2083e4ae4a

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T12:09:56.780517Z digest=sha256:3cf4a2b182a10887634db8db374d5a03aeea3244492fee346d88c9f71a7f75e7

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T12:09:56.847092Z digest=sha256:22cf054c807c6e2a8a0134dd7f543e1ff46bb1615f9062b0fc7cf0a8c1003450

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T12:09:56.908401Z digest=sha256:0ec69c93e506b0fb9b1ce65baeb402710567fcd41f79f57c5cdce6f55ec947e1

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T12:09:56.995724Z digest=sha256:3ad629e390b0c3be093dbd956b23d59e60ff1dffa9acadbf2b3661fd43bfb944

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:b9534e2baaa629aa6e9b2b300180004a5b107bbc24db9168aee41695d411e10d

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T12:09:57.139261Z digest=sha256:377d8848959b77c997bd2418f25e4a7275aaad6257aaf826c7988be62df33d52

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T12:09:57.198283Z digest=sha256:afb7f2f056f8648eb68b24a94504b96479efd2abec673be5c4fccf4c066f009d

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T12:09:57.286656Z digest=sha256:d454453d658e5c9e7452bbf67aa2c6d2bd9a7c9a524412ea311e78b2507afede

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T12:09:57.354643Z digest=sha256:3e27ba3eb0d89338f396357890963db54b2ca1659ec4d719cd756198a664b91c

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=sha256:76f26e703ce875a52bbd975895e09334e60dad17e42e3589d3e3aacfb8eeab0b

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=sha256:5165096fcc9d39aec40f3637d292a6c1c5f9faa50e970b49d02227650dbca63e

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=sha256:8f00cd6ce6ad363f68f5764053b3c24f9f80c11fc7d2e992c63f6e65a52c1f7f

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-27T22:13:34.998844Z digest=sha256:db109954c595eae39fb10fe941e38e9dc3914185daa41fa667aef1355060d512

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-27T13:40:37.935772Z digest=sha256:6e6a898c2f662f936b4b7f87fbc1b84dfe1eeb790f20a07f8f6367c188411178