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Paper Citation Record · LEDGER

Dataset and Benchmark for Enhancing Critical Retained Foreign Object Detection

As of 21 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 2 inbound Pith citation observations for arXiv:2507.06937.

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

pith.paper-citation-record.v1
2507.06937 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:54:08.912874Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T12:41:24.208394Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T12:44:39.295174Z

Reference resolution

41 of 41 outbound references displayed

  • verified exact0
  • verified fuzzy33
  • unresolved8
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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c139fab7-5a06-4f46-bfd2-b3bddc1f76d5 · outbound

This paper cites Ct-based data generation for foreign object detection on a single x-ray projection.

Dataset and Benchmark for Enhancing Critical Retained Foreign Object Detection Ct-based data generation for foreign object detection on a single x-ray projection

Reference 1

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raw_fallback, observed 2026-08-06T18:54:17.375287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 54a1681f-915c-472b-8940-7cbcf5bce20f · outbound

This paper cites Modified map-seeking circuit: Use of computer-aided detection in locating postoperative retained foreign bodies.

Dataset and Benchmark for Enhancing Critical Retained Foreign Object Detection Modified map-seeking circuit: Use of computer-aided detection in locating postoperative retained foreign bodies

Reference 2

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raw_fallback, observed 2026-08-06T18:54:17.092780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T18:54:03.896261Z digest=sha256:fe4a24b056ef34ded83b516d15f6e729621af76f7de227b6d67e45ac699b7ccb

Observation c2682a70-1b87-4c03-8321-ff5760682f2d · outbound

This paper cites Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer.

Dataset and Benchmark for Enhancing Critical Retained Foreign Object Detection Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer

Reference 3

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source=pdf_text observed=2026-08-06T18:54:04.014094Z digest=sha256:8ed183d963c146825090c265227c44127014bc69f821bc3639416d5f181fa5ff

Observation ac963f85-d006-405a-ba68-4e5263e6dc7a · outbound

This paper cites A vision–language foundation model for the generation of realistic chest x-ray images.

Dataset and Benchmark for Enhancing Critical Retained Foreign Object Detection A vision–language foundation model for the generation of realistic chest x-ray images

Reference 4

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no resolver link, observed 2026-08-06T18:54:04.124899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:54:04.124899Z digest=sha256:d6adc98a3896227a617e31935d12e07b6864bd414973b9087ba22a5e8b2cebc0

Observation 4fe3d20f-39fd-4059-a1d5-eb3b41e07839 · outbound

This paper cites Free response approach to measurement and characterization of radiographic observer performance.

Dataset and Benchmark for Enhancing Critical Retained Foreign Object Detection Free response approach to measurement and characterization of radiographic observer performance

Reference 5

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raw_fallback, observed 2026-08-06T18:54:16.827109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T18:54:04.265157Z digest=sha256:661fd4f7a6c31fbc2a652cd2dced57829e445a616859eff0c9d7bd94ca6c4145

Observation cc1adf28-f0d7-4d24-b9c5-278164aeee36 · outbound

This paper cites Incidence and characteristics of potential and actual retained foreign object events in surgical patients.

Dataset and Benchmark for Enhancing Critical Retained Foreign Object Detection Incidence and characteristics of potential and actual retained foreign object events in surgical patients

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:54:16.618160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T18:54:04.421859Z digest=sha256:09d546de4fd0734cec371a4f906328ff42dd1d01abb6b08cb8f0a197fb4268b9

Observation 4b626bc7-8186-4abe-9173-b467cf3e6a19 · outbound

This paper cites Operating characteristics, signal detectability, and the method of free response.

Dataset and Benchmark for Enhancing Critical Retained Foreign Object Detection Operating characteristics, signal detectability, and the method of free response

Reference 7

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raw_fallback, observed 2026-08-06T18:54:16.382331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T18:54:04.581795Z digest=sha256:31f812e5cfc0c86af882972a3f580f22cb4555c6eaf366b39eebf65be7874ede

Observation a56e9c57-7ca0-41a5-81f3-a31f1cf38cef · outbound

This paper cites Preventable errors in the operating room: retained foreign bodies after surgery—part i.

Dataset and Benchmark for Enhancing Critical Retained Foreign Object Detection Preventable errors in the operating room: retained foreign bodies after surgery—part i

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-06T18:54:16.129175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T18:54:04.705886Z digest=sha256:393255796e66ade15418269c5bc96c3c11b7171e3394abcf7f27176b37959bf5

Observation fcfea931-92d6-46e3-8387-e2e8fcfcb02a · outbound

This paper cites Fast r-cnn.

Dataset and Benchmark for Enhancing Critical Retained Foreign Object Detection Fast r-cnn

Reference 9

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no resolver link, observed 2026-08-06T18:54:04.826496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:54:04.826496Z digest=sha256:68b6ce0930efa6949f979ca2fe2cdc07c52542140df8e99d18a64309072bd1ad

Observation 5df0aefa-f8f5-4959-984d-ae17881e8995 · outbound

This paper cites Foreign object detection and removal to improve automated analysis of chest radiographs.

Dataset and Benchmark for Enhancing Critical Retained Foreign Object Detection Foreign object detection and removal to improve automated analysis of chest radiographs

Reference 10

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raw_fallback, observed 2026-08-06T18:54:15.833606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T18:54:04.943434Z digest=sha256:c4d344e82589d9d05215085dca8468db2300481400b585e0cd840dcc2e843e02

Observation 1fc778fc-7f05-43d7-a3a4-c25df9c3412d · outbound

This paper cites Is synthetic data generation effective in maintaining clinical biomarkers? investigating diffusion models across diverse imaging modalities.

Dataset and Benchmark for Enhancing Critical Retained Foreign Object Detection Is synthetic data generation effective in maintaining clinical biomarkers? investigating diffusion models across diverse imaging modalities

Reference 11

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raw_fallback, observed 2026-08-06T18:54:15.592278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T18:54:05.075487Z digest=sha256:c5e2664dfe3105c0686d367fdb1262d9937613547683b4bc551e0cffa4233511

Observation acd2071a-d052-4783-be0e-3eb5ab7ad58e · outbound

This paper cites Denoising diffusion probabilistic models for addressing data limitations in chest x-ray classification.

Dataset and Benchmark for Enhancing Critical Retained Foreign Object Detection Denoising diffusion probabilistic models for addressing data limitations in chest x-ray classification

Reference 12

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raw_fallback, observed 2026-08-06T18:54:15.266230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T18:54:05.183475Z digest=sha256:34cf300d043f0fbb545ae41704e05febc2a6f7d33474f6a2e7ea3daff7a198d2

Observation 7fb9db50-fa41-42af-97a9-aa8319214c9a · outbound

This paper cites Chexpert: A large chest radiograph dataset with uncertainty labels and expert comparison.

Dataset and Benchmark for Enhancing Critical Retained Foreign Object Detection Chexpert: A large chest radiograph dataset with uncertainty labels and expert comparison

Reference 13

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no resolver link, observed 2026-08-06T18:54:05.296429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:54:05.296429Z digest=sha256:ad12f5c9aa35a54c42a480294634991f90ca4bb45d6303365ae8d582f7fc0df9

Observation 5b3ed58b-472d-41db-b4fa-813904e241cf · outbound

This paper cites Object-cxr: Automatic detection of foreign objects on chest x-rays, 2020.

Dataset and Benchmark for Enhancing Critical Retained Foreign Object Detection Object-cxr: Automatic detection of foreign objects on chest x-rays, 2020

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:54:14.968261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T18:54:05.415396Z digest=sha256:bbb1b88e9d156e46825aa140053bb15ae578bd5e97eaabc09e6ac044e8910b10

Observation 5ff639c3-ade5-46f6-9e92-06d3c3f556a4 · outbound

This paper cites Yolov5 by ultralytics, 2020.

Dataset and Benchmark for Enhancing Critical Retained Foreign Object Detection Yolov5 by ultralytics, 2020

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:54:14.721120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T18:54:05.529499Z digest=sha256:8c05ca9529ca81bac1a7ea79859a87581b018011bca2114b706529453c48be61

Observation 1287463a-199b-4461-aa87-d69bbf8bf0c1 · outbound

This paper cites Center for clinical data analysis (ccda), 2024.

Dataset and Benchmark for Enhancing Critical Retained Foreign Object Detection Center for clinical data analysis (ccda), 2024

Reference 16

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verified fuzzy
raw_fallback, observed 2026-08-06T18:54:14.448502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T18:54:05.639957Z digest=sha256:c82353def25d3341ed111ce817d2ae92711aa05fea4b4e2edec49123da712b0c

Observation 364fe56c-c4d5-4596-9289-255b1ae3227b · outbound

This paper cites A deep learning model based on fusion images of chest radiography and x-ray sponge images supports human visual character- istics of retained surgical items detection.

Dataset and Benchmark for Enhancing Critical Retained Foreign Object Detection A deep learning model based on fusion images of chest radiography and x-ray sponge images supports human visual character- istics of retained surgical items detection

Reference 17

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raw_fallback, observed 2026-08-06T18:54:14.175436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T18:54:05.805384Z digest=sha256:2d4431d6b2109fe806a0db3370f6f276ed7998c85d25dd69894c2af29de880d2

Observation 0a91bd85-c7f0-4015-b8cb-27789fcecec9 · outbound

This paper cites Synthetically enhanced: unveiling synthetic data’s potential in medical imaging research.

Dataset and Benchmark for Enhancing Critical Retained Foreign Object Detection Synthetically enhanced: unveiling synthetic data’s potential in medical imaging research

Reference 18

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raw_fallback, observed 2026-08-06T18:54:13.893709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 31e4635e-8dc5-4fae-a918-4e1b702b6512 · outbound

This paper cites Chest x-ray foreign objects detection using artificial intelligence.

Dataset and Benchmark for Enhancing Critical Retained Foreign Object Detection Chest x-ray foreign objects detection using artificial intelligence

Reference 19

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verified fuzzy
raw_fallback, observed 2026-08-06T18:54:13.644327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T18:54:06.086291Z digest=sha256:c18624f49be0dc33bfe8fab30d3459838ab1cc87da1817cf731d4689a7ab6f45

Observation 5574dcb0-7d13-4551-818a-2a940f3d1205 · outbound

This paper cites Imaging of retained surgical items: A pictorial review including new innovations.

Dataset and Benchmark for Enhancing Critical Retained Foreign Object Detection Imaging of retained surgical items: A pictorial review including new innovations

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-06T18:54:13.448989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T18:54:06.242883Z digest=sha256:f38820229b40b35b2b38c9f8a29cb310f50419cce2d7bc4a8237c4ec8c4e72ed

Observation 213f0635-ec5f-478e-b443-5cd12168c885 · outbound

This paper cites Focal loss for dense object detection.

Dataset and Benchmark for Enhancing Critical Retained Foreign Object Detection Focal loss for dense object detection

Reference 21

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no resolver link, observed 2026-08-06T18:54:06.377143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:54:06.377143Z digest=sha256:ce8dbd0eb956431aab5880e9450e7c56d03e4688b5133251218b272d0bca5382

Observation 21aefff1-b652-4f67-9843-9d8025493807 · outbound

This paper cites Retained foreign bodies after surgery.

Dataset and Benchmark for Enhancing Critical Retained Foreign Object Detection Retained foreign bodies after surgery

Reference 22

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verified fuzzy
raw_fallback, observed 2026-08-06T18:54:13.237628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 4a7576b1-6877-42ec-bcdc-35133403730f · outbound

This paper cites DDPM based X-ray Image Synthesizer.

Dataset and Benchmark for Enhancing Critical Retained Foreign Object Detection DDPM based X-ray Image Synthesizer

Reference 23

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:54:06.656155Z digest=sha256:9ecd772201d699894b4258aedef93974aee3b4900406a4282a6d347703d7523d

Observation 17bd993a-e5df-42bb-b665-219ded771d95 · outbound

This paper cites Central venous catheter guidewire retention: lessons from england’s never event database.

Dataset and Benchmark for Enhancing Critical Retained Foreign Object Detection Central venous catheter guidewire retention: lessons from england’s never event database

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:54:12.988746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T18:54:06.754819Z digest=sha256:06c79ed2645a62cbb1cccd40104a7f2b929207dcfa6d148c64c92b9bd882e425

Observation 6873c63f-7c27-46f2-90bf-002a98ba260b · outbound

This paper cites Imaging of retained surgical sponges in the abdomen and pelvis.

Dataset and Benchmark for Enhancing Critical Retained Foreign Object Detection Imaging of retained surgical sponges in the abdomen and pelvis

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:54:12.802252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 68a3a33c-8a85-47e9-b739-e0a5bd43a6a9 · outbound

This paper cites Generic foreign object detection in chest x-rays.

Dataset and Benchmark for Enhancing Critical Retained Foreign Object Detection Generic foreign object detection in chest x-rays

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:54:12.569818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T18:54:07.032012Z digest=sha256:6bbcd3d2d4526986c2a1bf853e05212d83b0a62bf868a91d82e5faec1b80615c

Observation 0c0cb499-8d90-4fea-b031-1cf861914fcb · outbound

This paper cites Characteristics of retained foreign bodies and near-miss events in the operating room: a ten-year experience at one institution.

Dataset and Benchmark for Enhancing Critical Retained Foreign Object Detection Characteristics of retained foreign bodies and near-miss events in the operating room: a ten-year experience at one institution

Reference 27

Resolution
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raw_fallback, observed 2026-08-06T18:54:12.288042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T18:54:07.167738Z digest=sha256:f38c9a2144c126bc43767b674508080084d17640b3aa75df426a1c0bd76c9150

Observation b4212147-d86d-4dd2-8856-59d16ea523ac · outbound

This paper cites Fcos: A simple and strong anchor-free object detector.

Dataset and Benchmark for Enhancing Critical Retained Foreign Object Detection Fcos: A simple and strong anchor-free object detector

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:54:12.026903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T18:54:07.306977Z digest=sha256:ad378ba9754b567ae33291107fa85dc4e524061492763ad00776b17854ec71a8

Observation ec376d16-8aeb-4975-afef-af537992e43f · outbound

This paper cites TripoSR: Fast 3D Object Reconstruction from a Single Image.

Dataset and Benchmark for Enhancing Critical Retained Foreign Object Detection TripoSR: Fast 3D Object Reconstruction from a Single Image

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-06T18:54:07.440665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:54:07.440665Z digest=sha256:23434a2e4162522ce4730175bd02426fd79a13ed306affdf9064be64299fd4c7

Observation 98f989dc-b267-4bc7-903a-b47bd7f6fcd1 · outbound

This paper cites Artificial intelligence in radiology: where are we going? EBioMedicine, 109, 2024.

Dataset and Benchmark for Enhancing Critical Retained Foreign Object Detection Artificial intelligence in radiology: where are we going? EBioMedicine, 109, 2024

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:54:11.823412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T18:54:07.580932Z digest=sha256:1ae617363a8f5ab3946f7feeb16e087cb90d6a935eb58754fea7385ecb63037b

Observation 0e0ea1b3-0f8b-4494-b36e-31ccb056353a · outbound

This paper cites Enabling machine learning in x-ray-based procedures via realistic simulation of image formation.

Dataset and Benchmark for Enhancing Critical Retained Foreign Object Detection Enabling machine learning in x-ray-based procedures via realistic simulation of image formation

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:54:11.574072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T18:54:07.712288Z digest=sha256:d558ae0e1645594527bdc8e179fbb5fbfa65bc7c1afdcd4fe051a0667548af44

Observation 1efb392c-4d0e-443b-84f5-620dc9dadd43 · outbound

This paper cites Deepdrr–a catalyst for machine learning in fluoroscopy-guided procedures.

Dataset and Benchmark for Enhancing Critical Retained Foreign Object Detection Deepdrr–a catalyst for machine learning in fluoroscopy-guided procedures

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:54:11.332389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T18:54:07.801927Z digest=sha256:adffb8edf53b98cf35e1f84b27d341c19a4c645cfa59709bbacae53b5e87dd34

Observation b57110d2-9ada-40eb-9371-8af41e510303 · outbound

This paper cites Retained guidewires after intraoperative placement of central venous catheters.

Dataset and Benchmark for Enhancing Critical Retained Foreign Object Detection Retained guidewires after intraoperative placement of central venous catheters

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:54:11.023509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T18:54:07.928420Z digest=sha256:20c6d5218fb275d8d0864a56fe1b92de8c13d40f4eac23a3707490a08142e25d

Observation d8ef0226-0b3a-4117-9f05-d1feac8ea562 · outbound

This paper cites Chestx-ray8: Hospital-scale chest x-ray database and benchmarks on weakly-supervised classification and localization of common thorax diseases.

Dataset and Benchmark for Enhancing Critical Retained Foreign Object Detection Chestx-ray8: Hospital-scale chest x-ray database and benchmarks on weakly-supervised classification and localization of common thorax diseases

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:54:10.734018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T18:54:08.043644Z digest=sha256:72e01c7d1273557b1a0f95d3e8a7482a0643748dc28177c43b04b1609a2c186a

Observation 99fc6cda-10cd-49f8-837b-cb646a36f741 · outbound

This paper cites Enhancing vision-language models for medical imaging: bridging the 3d gap with innovative slice selection.

Dataset and Benchmark for Enhancing Critical Retained Foreign Object Detection Enhancing vision-language models for medical imaging: bridging the 3d gap with innovative slice selection

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:54:10.468003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T18:54:08.165536Z digest=sha256:3ebe9e97664669a2e1dfae9b47670607502c5d204ddbfc4e3042f80e07c12b5f

Observation 7dec2cc9-51b8-4340-862a-d951f373b75a · outbound

This paper cites Car- dcros: A dataset and benchmark for enhancing cardiovascular artery segmentation through disconnected components repair and open curve snake.

Dataset and Benchmark for Enhancing Critical Retained Foreign Object Detection Car- dcros: A dataset and benchmark for enhancing cardiovascular artery segmentation through disconnected components repair and open curve snake

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:54:10.217114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T18:54:08.285121Z digest=sha256:20ebb9c12d7f40bedc007a41882896e2ddce855a2150fae4ad48ddbca3c9f6d7

Observation 2ac2c063-a97f-4d8c-bd1c-b57b116394ed · outbound

This paper cites Totalsegmentator: robust segmentation of 104 anatomic structures in ct images.

Dataset and Benchmark for Enhancing Critical Retained Foreign Object Detection Totalsegmentator: robust segmentation of 104 anatomic structures in ct images

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T18:54:08.420373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:54:08.420373Z digest=sha256:89c637571c64512e18ce65f45fa5c938d094ff337d53f22885153a0043b1edab

Observation 08b26fcf-b6ca-4ae8-b670-e94de51d29cf · outbound

This paper cites Management of foreign bodies of the upper gastrointestinal tract.

Dataset and Benchmark for Enhancing Critical Retained Foreign Object Detection Management of foreign bodies of the upper gastrointestinal tract

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:54:09.999201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T18:54:08.537406Z digest=sha256:517288285c5378258a8e39727968ff2649f0a16440f563f64ec6e461c50d4370

Observation 53bc3c8a-772e-4c63-8961-5f4068f59438 · outbound

This paper cites Retained surgical items at chest imaging.

Dataset and Benchmark for Enhancing Critical Retained Foreign Object Detection Retained surgical items at chest imaging

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:54:09.733504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T18:54:08.636165Z digest=sha256:3986d528119b1779c349f3ac97ce083e5f785134efcdf7d5772105cfe25bd2b1

Observation 30ad65a2-1562-42c3-ba83-5dd0f16a1aeb · outbound

This paper cites Retained surgical foreign bodies after surgery.

Dataset and Benchmark for Enhancing Critical Retained Foreign Object Detection Retained surgical foreign bodies after surgery

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:54:09.496972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T18:54:08.771518Z digest=sha256:6acc12a5df2433d971481973d3b4d3fbd2448a24076a8550e59fd1ef1b06704a

Observation 4e2069c6-6563-4de2-8af0-8d13d580f23d · outbound

This paper cites Utility of Artificial Intelligence to Detect Retained Foreign Objects on Radiograph.

Dataset and Benchmark for Enhancing Critical Retained Foreign Object Detection Utility of Artificial Intelligence to Detect Retained Foreign Objects on Radiograph

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:54:09.274747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T18:54:08.912874Z digest=sha256:bea74d9da98c496037840c14de15913399bc0bcf8e1fb177a7347737ed6f9bce

Pith citing papers

Observation 6fcf91e6-7a03-4101-a43a-efa7d7e932cf · inbound

SurgRFO: Foundation Model Based Compositional Synthesis of Critical Retained Foreign Objects in Intraoperative Chest X-rays cites this paper.

SurgRFO: Foundation Model Based Compositional Synthesis of Critical Retained Foreign Objects in Intraoperative Chest X-rays Dataset and Benchmark for Enhancing Critical Retained Foreign Object Detection

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-06-30T00:24:04.251749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T00:18:08.349398Z digest=sha256:548a4b556e87e6775931f9b35d421274356722fb29e0f171ba3e3785c34af36b

Observation d050dc91-10b8-4a8e-8a53-274aaf4948f6 · inbound

Self-Supervised Contrastive Learning for Cardiac MR Sequence Classification cites this paper.

Self-Supervised Contrastive Learning for Cardiac MR Sequence Classification Dataset and Benchmark for Enhancing Critical Retained Foreign Object Detection

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-06-30T12:44:39.297033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T12:41:24.208394Z digest=sha256:2f4f597b0c248e78e43718c405887df3f0b4c0180ef6eab366505f492b512363