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Paper Citation Record · LEDGER

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection

As of 20 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 2026-08-20T06:33:59.587034+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=sha256:41a2c670cc37afafc9fff4aa1e072774c6a6d8719fd91d849ba6c3b9ca08b899

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T12:09:51.316837Z digest=sha256:5bf14f97c0942cc6fd64751376b53d0f905fd5a2264b723997fdcd09db475b64

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T12:09:51.427700Z digest=sha256:d0178f246a7bc7f6d54f1dc753c32a577add9d3f1f6d376dfebbf7baf50fba21

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T12:09:51.530048Z digest=sha256:de3d3d8037b4c782cb638367b0800c23abcd6d49b5a2536b2627e136339aad69

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T12:09:52.263588Z digest=sha256:18b56a3c7b2ff920c3cbefe59488d83981428bb743ffd596a22dcc4f30a67083

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T12:09:53.006218Z digest=sha256:7ccb7889542a4d60e93b3e46efec8652e36b73202b9b742601036a13604f2725

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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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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T12:09:53.460478Z digest=sha256:8d9d1bb96eaf340c0895bd8848a9afd50458d379f83f780abb500c2edff70350

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T12:09:53.566300Z digest=sha256:f8d936021f8d3c75518603c6eabf7f9ebab9e65d6d93cf98d90f01bee25b90d9

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T12:09:53.684190Z digest=sha256:372b385af20ede8656b0d5b8f44fae93d1b4b44028f08dc4aa7ab6a9c86235f8

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T12:09:53.889964Z digest=sha256:a1018053d1a01fbf6e8d2acc6218e041f5dc2fdff7cc59c973d2004c04382caa

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T12:09:53.972211Z digest=sha256:aae045b82de7975545417ce3bed6bc8bac9a38e8857226c39f29fdc7c3e473cb

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T12:09:54.044809Z digest=sha256:f737148e23e3644df03e17b1a3327c84f78a9b002d46271891d6e7cf47d2b026

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T12:09:54.120989Z digest=sha256:784f66e026e5394ce7c617a98cae286bc26a09cbeb1ef8c1cc1b89d32ac047ec

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=sha256:2499daf7f8feccdb537f600652074832a0bbd24d24d768f0518ca303c5003ba6

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T12:09:54.295392Z digest=sha256:93719d3dda41b04448f99eec93a6b0b159a2c2af3e7f1e82141f917d293c6389

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T12:09:54.370065Z digest=sha256:ef7aff9817b46316f5b4852aa8839bafe038846d01728a79e93a785d6cbf2044

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T12:09:54.597930Z digest=sha256:73952f9b84f79b212a8934cfc1ce478642142a56dda48561911868934d32a2de

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T12:09:54.686197Z digest=sha256:9613bf23fd7b350114705dafb5893d049c3312c04504df401730056ccd090046

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=sha256:714c3dd36680901f8db62b4225b4dad660779be59b3864fea89ffe1da2eb3870

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T12:09:55.056165Z digest=sha256:8e1e3c7c2b071763bc711ff0069f78fa8d34002325c7d0f423a96cae806b1814

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T12:09:55.169499Z digest=sha256:50f39abcf093cee7cea6e9b46a49654f47bd324713ab4efb2ea163cdf53e9ac0

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T12:09:55.279588Z digest=sha256:5b0d24d20ae04269558acaba6627521ceb3584c56481b64e166d65bcc5bb6748

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

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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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T12:09:55.810308Z digest=sha256:e7fc6c347ec73245bb7836e9b13f4bbea731c76e04a68e128c8844c2ccf960be

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T12:09:55.882246Z digest=sha256:782ef6d19169a18740da4de8e53b143fece4aa1a64610e25c2f526014eb602b2

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T12:09:56.121393Z digest=sha256:52948c5af706d808030ec4cecee8fd0d7601ca49560de6290e38458a5facbff7

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:bb03e76a6efb0aab801e1fb557f02c711187fd48ab14069cdf7c70c4165b4c9d

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T12:09:56.393957Z digest=sha256:4ca4db3646ce421780600e13801430981bfa1bfddf028cf038246f55fd460dfc

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T12:09:56.451419Z digest=sha256:c59fb25de3d2f3cd16869a45c45dd510301f07e79ffaf88cff1d04257dc405fa

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T12:09:56.508095Z digest=sha256:f0e75cb3a5ec8d28ac6c16e7b4579e606d9205caa7d76a768a1b992a0565e6cb

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T12:09:56.577644Z digest=sha256:1f5c07e7d7ec5cc32ff114b5dc1f326c155778fe9ac21aaf89df7b436d8be154

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T12:09:56.669407Z digest=sha256:1adf52ba415bb5582766ca6537cdecb3af30c3aafe16988da41b5896e5072fc1

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T12:09:56.727971Z digest=sha256:c5c5e3a31a41c1815ad4530061df5b4256104fd5f08d55cfc134fba584507330

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T12:09:56.780517Z digest=sha256:f46b4565c80d304405a849ba76efaa6957c420d0d358d0553b93c0931c2d96ed

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T12:09:56.847092Z digest=sha256:cb5d0426d6f9b7c4437264b4429553b5ec2f3cc8adec84944c81834934f67dce

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T12:09:56.908401Z digest=sha256:70a269620adec4ee2947535c6a3978a7a09e272e25d01d3b98fd47d373c5dd90

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T12:09:56.995724Z digest=sha256:455b457a12f430d0830c5bc746db1890c18402a3c1485cd1a3d61b1587a7aa1a

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T12:09:57.139261Z digest=sha256:07fcefbe4c198d962cef1d6158a7d3e610dad9a3b976952eda648d7b2ad338fa

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T12:09:57.198283Z digest=sha256:8c7f079df427697ec968193b695b923e10ad1612b8febf5196e4517d1b973cf2

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T12:09:57.286656Z digest=sha256:997bc2d94b5f33c4ab4caabdb9bf930bfbc1bb11d38d0b6a8eaa4ad7970b8459

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T12:09:57.354643Z digest=sha256:25ce1fe0833cac552cf9fedbefac03230af4e66b93089010a31f40fe7255ba2c

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-27T22:13:34.998844Z digest=sha256:8c728542d14c6c6d117beabafa486fe83052c525fe8f1fb86a723bd0984b12bf

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-27T13:40:37.935772Z digest=sha256:49d817a79cf63f302fad991832b990f2ab313022a9cbfa47016d66ce5ae8491e