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Paper Citation Record · LEDGER

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection

As of 7 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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:09:51.316837Z digest=sha256:fea16a365f621ac2b54bfe66dfa1d672d3a3ed1106e7e82e4d0078f483375f16

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:09:51.427700Z digest=sha256:c2ea730a6646a8b17640b450de60fa30f406440a336eb9723aae273e754f4459

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:09:51.530048Z digest=sha256:39cc98349c166fb0d6fb705e7a757c99925edc9be5ab047b460d172dded9e488

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:09:52.263588Z digest=sha256:71c1f7ed8e4273a4cb19d93e86813c695ff75a3176f627b1ba44655b20ae9914

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:09:53.006218Z digest=sha256:be33353e65d8724ae75162333faf0b4bc7f1dcf3a4730918650ca921f5773ea6

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:09:53.460478Z digest=sha256:475577d1230090117bb72a6c63414e08146fa5ad433b3427f493bbf852bc11d9

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:09:53.566300Z digest=sha256:6fc7a6875372f9c3dace85d1ab81ac78c1fc8bf68039a7cde0b8fe04d93a670a

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:09:53.684190Z digest=sha256:0026ff7dffb493b239e2cda37033c0a2a78baf6904c1f2950ab8adc5a44d7cd5

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=sha256:06442f1087c03a097e3a56dcd57ff72e399db32b32b716aaab680ce166683cf8

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:09:53.889964Z digest=sha256:6ed0c6f3b7ef19ea866c1e21fb85b714666eadb33f84c77cee37cff46b74aa82

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:09:53.972211Z digest=sha256:ae5234a9913059d7fd88a4f48f3d90154b37870e21afcad9d5683584f976d80b

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:09:54.044809Z digest=sha256:32c1aaa24353d6eba731cc4fb5065541f18d72d7543e8e74f3cf98febb4490a5

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:09:54.120989Z digest=sha256:d4810088f3127fe12b50e3dcdf602ea9cd21d184ad2853a05eca1575e912d8b1

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:09:54.295392Z digest=sha256:cc66b3b3f326ff6570939a6b02e124de5afeb1a4708ef698c33df02b2bf1d22e

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:09:54.370065Z digest=sha256:1f888285b1dc40ab7ba88e1c21b0499cf81e5d1b708450fd0e864ffb860962db

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:09:54.597930Z digest=sha256:0f2012fcb90c67b15c51f7f68cdd4cfbe5f38fa10917ad3db5206e850edb3151

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:09:54.686197Z digest=sha256:86238df63dec1d897e8288678353d4cb59fd7b5da08be1845b68d9068ec2040b

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:09:55.056165Z digest=sha256:6b272740e9215b64aaeb403070ecf95acf40c4486651de41cb3c157eed192e18

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:09:55.169499Z digest=sha256:5bf6304640949f872183d55b5dceaadc3b494b36963f4cb40b01a39ef3bfc0af

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:09:55.279588Z digest=sha256:d45e1b8993a3428d1846b2610c06d8b7fdcfaea11f8cb677fe3c662b20b8e0ee

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=sha256:7a3ee04c7b5f37753b43e29fb946e29eeb16c54d084850da0421c4be04e95dc2

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

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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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:09:55.810308Z digest=sha256:db3c6bef59f673da74c245bd33371e304f7e74faf3b6bbea085559dd20fbf74c

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:09:55.882246Z digest=sha256:3476046a63f2c18987c33cc7b6d623460669b3242046f10181ed461a677a9da7

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:09:56.121393Z digest=sha256:1d96a055007c7c88752d4dea64728704906cfba9e4f959d496ed665fa3b2d1c9

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:09:56.393957Z digest=sha256:f1859932c5e37250ea26b04a1ee0304be551d6bb0d5e89e221a6f7a3dd65159e

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:09:56.451419Z digest=sha256:83404f02afb4488ced16ccb12760786e1fac4ad68e427fe98989bf13029868b1

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:09:56.508095Z digest=sha256:55643bc279a28c89eadb5e49ccfa4eea2775d26b53ffb0eb01460a321683882a

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:09:56.577644Z digest=sha256:077a5f471c9397229ba6aaefdb1ec624ac19064459beea98cfc2b1916a61b53a

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:09:56.669407Z digest=sha256:8f8f4314db2a1855c2f744e7ceba92a50ab4923eb0285659a0c103d0ea753955

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:09:56.727971Z digest=sha256:ecadd72a08e8933cb82a91efb51fcca574c7174470296f11d52a717d943b5963

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:09:56.780517Z digest=sha256:3eb560aa6944c0a13bea9214d15e4db1cfab9dd7bf21cac4fe99033ba6907dbd

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:09:56.847092Z digest=sha256:20f81ddb54129c6b97cedd921b16dc9ef356a262118ca91cd703c2743ee1fe66

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:09:56.908401Z digest=sha256:1cdc030a3e6fdb936769532858ae00fd78aa485b3095af0528ada6a9ea7cbfc9

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:09:56.995724Z digest=sha256:67bb6e0279311a63e8815defa002dd1c3f52d5497040ebacc0ab43da64f24d35

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:09:57.139261Z digest=sha256:1c37b4ccaedf2a08917145d94dca1b6c5c2206b3fdabbfee3479f0b75fd2f8f8

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:09:57.198283Z digest=sha256:59e0d888d1e81edd638ae812589676c050473a4ecdd1653869140839e2f15cb8

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:09:57.286656Z digest=sha256:0960ff818e2f05b5f7eed21f46d944072766fd41d76cb6c1f61444b49e448777

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:09:57.354643Z digest=sha256:f3ca0a892b8cf00796acbbc24f94df104f619de63f51c56d97a6853723a5fb01

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T22:13:34.998844Z digest=sha256:cb13a9c27f8d3a98ac52e8f17491285536258c9f46b0a36c110f69a4c24d76ed

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T13:40:37.935772Z digest=sha256:da0845c755eef55934eb8cc3e3acd2522143d9e5b534d2af10aa3ba9085dab7e