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Paper Citation Record · LEDGER

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection

As of 8 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 2026-08-08T06:32:00.761636+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=sha256:50e4ae4e3493411b90be37fc3497540e68b68858fc855d6bafe729a8d678346f

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:09:51.316837Z digest=sha256:700a358bf51750c1e6f172441002af007738d9761c62d2dd87e02750191e2ba7

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:09:51.427700Z digest=sha256:184253a3d3c70b1a356d67f194b1eef40965806092fedff4ff427ac0ba2f7d5a

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:09:51.530048Z digest=sha256:f87418c08cbd8a65320c6d20824b7a8c661ab54ec1799ee2baced2206c1c3f68

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=sha256:59631cf34c61fc52eeaedaff8027317963da3ba1997ba704d92057aa41c3d10f

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:09:52.263588Z digest=sha256:22e1a18d26b665e264098577784cebc937227328d7c13303b023bed298a3d280

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:09:53.006218Z digest=sha256:d492eca95951d2f00a48f742cb3b530b85564cb74d5adc1c122103070fbdd93c

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:a12f19ecc2d74cd18863693b7a819998b4ac5c752d97e79ce79d5053d628e3ec

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=sha256:48feb7e35c0d208e925085ea6a8d43c7682c36fda8224c49ed03db331e49c233

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=sha256:09f268343183cebbc15859e88bb103ce270a0cd85869d5c341b941934cf36ac6

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:09:53.460478Z digest=sha256:c7106243dbfe909f7dc54f00242caea33c7716f8559f069c7378fa34256e0c73

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:09:53.566300Z digest=sha256:473dbea48c9171758c8fd936501bcc15e48cfdbe556df63395a2028ee3ddae32

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:09:53.684190Z digest=sha256:86be98231efafc06729f1e575ff9bdeeaa367874c7512dc226fad34d51e9e9b5

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

Resolution
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=sha256:8492a0dae279e2807b09411de6af026dbdc054260f3c547b4e61834b3af635cc

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:09:53.889964Z digest=sha256:da766192b489d29b727e38d2390a16cdf6e6ad1fc6064ccd1fdbeebde1648ed2

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:09:53.972211Z digest=sha256:56db517855fc2d74cebb4b050e38e416c7a728550c2e3214be27a2656ffd0ddc

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:09:54.044809Z digest=sha256:52e36e5fb5b1ea68fff75e74bd42336a5ed7c653384fa71df718e04dbb3b0bf9

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:09:54.120989Z digest=sha256:fec443f7930f096ffcaee55353d2612bc1cf3b63d9a859d66cec9f3bc2b6d9a2

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=sha256:7dbad2d0c27807061eefc70f1174cb20666f655f2f65db73535c4fef69e92b3d

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:09:54.295392Z digest=sha256:719fe0950dc9369db941f77f6dcb30d925e5a6765f2dcc9738e5bc56e4d630c8

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:09:54.370065Z digest=sha256:8087b1212022212feb2162a3b941dc880ee000c14d9ed3158b8b8b2b12257513

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:a4347bbc6f0aefb21c041c6e8d703b53b2ae7f0fb3aa8de3878eb767acf251ce

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:f6bd2e30712059ec874727094947c10eb7fda99160115e2210775f73f51c63d3

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:09:54.597930Z digest=sha256:983c60975bec0224242ef2f9d0740632fa898045afca8334f68466ba9702693a

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:09:54.686197Z digest=sha256:4a4a17088027df25dbf7b1323811490cfb850e5a0fcfa980e93d1ed1d10c1dc6

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=sha256:52e57a7f83339b67f183f744166504a9a5b68b8148ed31c791a7cd9321af9be0

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=sha256:833a802ae9fd1095eb9396954fcccb4ca426e9f758231934cd17b5f1d903e570

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:c76afd53130d87e7bc8e6c9f757a1e721e261d90250147bd0b8f7752063a0372

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:09:55.056165Z digest=sha256:61be550f9a70d403ef9f5b4a62be14a27e12c088640080a0e758c175db607b79

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:09:55.169499Z digest=sha256:ba3734d32eac8bb74505c5ca4785bf94a3aef87f0defc1e7d29f853e947b214d

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:09:55.279588Z digest=sha256:6186fac3a51347f3d454507b3eb6e257a42561a3316e2e758699a60350448fea

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=sha256:7a3ee04c7b5f37753b43e29fb946e29eeb16c54d084850da0421c4be04e95dc2

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:a11dd75ec0d62be52f99575db50c718e70b24331228c1c0c7a498673aa14eed6

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=sha256:9aea2ab28ffde4ff202b7302f61aeaa6d11f11cbfd0426b917e78dbaed08bf68

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=sha256:10c3f6a60135a151d05c24d420529e5341125a6727c1924ba37bb5e79f077500

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=sha256:197c138fd3f031ad93dd55f033d38866a9b86dd03c80275c2a61fd0448f0a85a

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:09:55.810308Z digest=sha256:75530f428c9e22faa2f6823d1bff9e513699b54fe9bbc1078b07ae84b4cc8c5f

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:09:55.882246Z digest=sha256:7cd48a02b05da98cee723c4f892c94aa837ba98cb04d7676b29ead8505e8c1cf

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=sha256:9b2a25ff277cec8cd14930cacfcf9d0f2bc5a121ce73d1621cb3abe1cd85d67e

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:d15460f00d08af080e5a231aec4cdacc50ccd25ce456439bb2ec783fba1bca9d

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:09:56.121393Z digest=sha256:5057e9fab5968c0fcecab3966422d5debcd5f24dc42fdc112c2f78fffe6144a7

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=sha256:9cef94cbec68f4e0362b5ede4cc14263ae7ceb690a7e50c9b2b72bfd356195ee

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:de2c982c8cc60769cc885190718f14e1d017f7f2833d579b0ead2ff9694490a5

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:09:56.393957Z digest=sha256:ac06ad660c88664613fe751a833ea0ce40cf584848674a43c32c7b23f62ab0db

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:09:56.451419Z digest=sha256:f40f5d3c0eab7a686d46c4cd8376a72466b9804271e109d60bd9989f3262efca

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:09:56.508095Z digest=sha256:753408e607996301efce9cc157414fb007f5993712749bba0508ce6cc6ecf3f7

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:09:56.577644Z digest=sha256:a07b91b671867e8d50bc8ca2d7ac836dbd0eb193e4421c411b505dc1ce6debcc

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:09:56.669407Z digest=sha256:8a0ee8147a347b81a32185575cedb87282d5f9191da1785720bbed31b663dcb0

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:09:56.727971Z digest=sha256:eeccd217f1b16261a6e3420910ddef9a3ce0b85c733b9186798f055e5a2d075f

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:09:56.780517Z digest=sha256:18163a7433157be976964fcb92f30399a012ce36f041c38a00ea19134bc52e82

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:09:56.847092Z digest=sha256:901e18384913756c7b6073266262747e1f1b2021c21a4532f760d5521d9f98d2

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:09:56.908401Z digest=sha256:b954b8cef416aabf82478e2122649cdb9ed41c9fec01363c2233d73055e99607

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:09:56.995724Z digest=sha256:33188431f397fdde4694a2a80cda688acd4a0313ba25ba872d7be8f603a76ad0

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=sha256:1989d9131e06bc82e91be0bbf5ec5a4a543b3ffe50fbd5ba2f96652e2cfc807b

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:09:57.139261Z digest=sha256:578f933015784f3e6c19bf61d0a29ddea52282cabe109b035265e164b94fe230

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:09:57.198283Z digest=sha256:f409d4029287979b07174aa2c9e61ee721ee6ab3f7a8c62103899affc2c85dbf

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:09:57.286656Z digest=sha256:502f2d59da8aedd1922c1b960f8c178c60122819baab35caa691a14fbafef85a

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:09:57.354643Z digest=sha256:bbbe23f60c16abe35456f33ec83e9f35c29545b8187cedd472b10f70aee7fc2a

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=sha256:1bd43d68c8a4ea1a4ef3314f32ca35e66a93c55812350449dc3395ec6bb5c428

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:d9c3277138adb5091f33f205c6d03db764cad17cea4b20d9463e0793b8042da3

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=sha256:02c495d9b4c209b59fbc7792be633c7eca1d06c4e5d39e2476726e0c085f0d4a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T22:13:34.998844Z digest=sha256:6e6c603a6108c232b963d060216e9f59d43735ef217e3d8dabc298d63927b3e0

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T13:40:37.935772Z digest=sha256:b7a3e9439893b9f92bbcbb08a5dd03d7b59b9b346e4e4b54acdd739220c4f53b