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Paper Citation Record · LEDGER

BenchReAD: A systematic benchmark for retinal anomaly detection

As of 13 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2507.10492.

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

pith.paper-citation-record.v1
2507.10492 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-21T23:21:22.548351Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

29 of 29 outbound references displayed

  • verified exact3
  • verified fuzzy24
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 818428a3-e9d5-4de2-a6cd-d702721ef195 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

BenchReAD: A systematic benchmark for retinal anomaly detection In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T23:24:26.589010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 3a968da1-db2d-4645-8a54-e4bf1802ef55 · outbound

This paper cites Medical Image Analysis 86, 102794 (2023).

BenchReAD: A systematic benchmark for retinal anomaly detection Medical Image Analysis 86, 102794 (2023)

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T23:24:26.565261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-21T23:21:22.548351Z digest=sha256:2101ef9352bd2584ab284dd7806d583a3d79ddc6972b8e4b67f35801c95c1a23

Observation c5cb7094-c54d-43c0-85e2-bc9672127ba0 · outbound

This paper cites MedIAnomaly: A comparative study of anomaly detection in medical images.

BenchReAD: A systematic benchmark for retinal anomaly detection MedIAnomaly: A comparative study of anomaly detection in medical images

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-21T23:24:26.207164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-21T23:21:22.548351Z digest=sha256:c0f0250c03911dfd96988a9cf3775a3abb2bbbf9de4a20557693e47ed808098d

Observation 60bc16fc-e056-4f45-880b-f428889735b5 · outbound

This paper cites Nature communications12(1), 4828 (2021).

BenchReAD: A systematic benchmark for retinal anomaly detection Nature communications12(1), 4828 (2021)

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T23:24:26.570422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-21T23:21:22.548351Z digest=sha256:341849a1148d4eda3ba4b3b54790bfe4b0e6f3a90fa848a815d4ffec3145c3f7

Observation f1205b09-0255-4e19-965b-c40655a4fd78 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

BenchReAD: A systematic benchmark for retinal anomaly detection In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T23:24:26.603553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-21T23:21:22.548351Z digest=sha256:c19273351eec2b1ae85a35edce3c4c4185422e0178058e0da3da38774be14a71

Observation 39caf3c8-80c1-4b19-a1b1-3b81b0b0e45d · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on com- puter vision and pattern recognition.

BenchReAD: A systematic benchmark for retinal anomaly detection In: Proceedings of the IEEE/CVF conference on com- puter vision and pattern recognition

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T23:24:26.578602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-21T23:21:22.548351Z digest=sha256:6987a818f2c5786466098d13bea041bfd3c8f7c980444c3b083e1e99d7018426

Observation 93a7ce8b-3cf0-4f24-9bb3-408b63620b71 · outbound

This paper cites Computers & Electrical Engineering81, 106532 (2020).

BenchReAD: A systematic benchmark for retinal anomaly detection Computers & Electrical Engineering81, 106532 (2020)

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T23:24:26.560110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-21T23:21:22.548351Z digest=sha256:312bc9afae52435c7388fc4636b8a17d1c5b049923a75925ad005a465bb33fb8

Observation 14d85dc8-4e09-4c5d-b925-aadcbc275398 · outbound

This paper cites In: Proceedings of the IEEE/CVF interna- tional conference on computer vision.

BenchReAD: A systematic benchmark for retinal anomaly detection In: Proceedings of the IEEE/CVF interna- tional conference on computer vision

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T23:24:26.584019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-21T23:21:22.548351Z digest=sha256:bf648cdcd07e6e8af50d62f7febab2c102c916175128a46d2175eb4e6d60f070

Observation 27b16ecc-0ae8-4c98-9d5a-18c91f0dbf5e · outbound

This paper cites Advances in Neural Information Processing Systems 36 (2024).

BenchReAD: A systematic benchmark for retinal anomaly detection Advances in Neural Information Processing Systems 36 (2024)

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T23:24:26.609253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-21T23:21:22.548351Z digest=sha256:94226cc1a3504ecf89f45ee5dc0a690fd87ff5e295b2d332992409d45d502c9c

Observation 29897e54-020a-4fab-998e-b7a60f57ca9b · outbound

This paper cites IEEE Transactions on Medical Imaging (2023).

BenchReAD: A systematic benchmark for retinal anomaly detection IEEE Transactions on Medical Imaging (2023)

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T23:24:26.573160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-21T23:21:22.548351Z digest=sha256:e0edfa0a56f024a12f7ed1f238597e0e3e6a6ab9c5bbc2418e93bd00e8a3e542

Observation 9a29215f-338e-47c8-8bca-ba0c48290db9 · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence.

BenchReAD: A systematic benchmark for retinal anomaly detection In: Proceedings of the AAAI Conference on Artificial Intelligence

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T23:24:26.553992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-21T23:21:22.548351Z digest=sha256:139d15c5432c0b378ff58e37ab1c9a1f09cd1483365b9681df1fddff41f27fab

Observation e4b15d52-de7b-4b81-a6f3-a3d7c37a809c · outbound

This paper cites Journal of medical Internet research 23(7), e27822 (2021).

BenchReAD: A systematic benchmark for retinal anomaly detection Journal of medical Internet research 23(7), e27822 (2021)

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T23:24:26.562682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-21T23:21:22.548351Z digest=sha256:30e84c0c9b5d5e8fa828e4bbbf3242783297b4d2eacb84929389ec735be14f2a

Observation 08ab38bb-defe-47a7-b3ed-2a93e44f2933 · outbound

This paper cites Medical image analysis55, 216–227 (2019).

BenchReAD: A systematic benchmark for retinal anomaly detection Medical image analysis55, 216–227 (2019)

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T23:24:26.581203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-21T23:21:22.548351Z digest=sha256:6d38b2b20122db9aa4be5daef3aed643d48328be55606568f4ab120a393ddb06

Observation 6fe1b450-6c2b-4804-a892-09ad9ea06337 · outbound

This paper cites Advances in Neural In- formation Processing Systems35, 15433–15445 (2022).

BenchReAD: A systematic benchmark for retinal anomaly detection Advances in Neural In- formation Processing Systems35, 15433–15445 (2022)

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T23:24:26.557082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-21T23:21:22.548351Z digest=sha256:90a602c5b2988c4c51c528dc4b6fedaaafa088e8af2b7de327bb212a94a56744

Observation 2f7fd76c-2377-42a3-9c89-7dd8763bbe3e · outbound

This paper cites an unresolved cited work.

BenchReAD: A systematic benchmark for retinal anomaly detection Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-05-21T23:24:26.595519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-21T23:21:22.548351Z digest=sha256:a19041239cc0ba1d7a6631a2c9610e23bb9f43f6a6cfeeddfef45403e6f693f7

Observation 351dfaf4-0eed-491b-970d-8c626008e4e4 · outbound

This paper cites cell172(5), 1122–1131 (2018).

BenchReAD: A systematic benchmark for retinal anomaly detection cell172(5), 1122–1131 (2018)

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T23:24:26.551571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-21T23:21:22.548351Z digest=sha256:3bca03b9efa197ef0d33153e8747c325e5803f220b1f32dad0d3975d1f7b395a

Observation f39e333d-1919-4953-b6fd-e7f3cc8e3b10 · outbound

This paper cites Scientific Data 11(1), 365 (2024).

BenchReAD: A systematic benchmark for retinal anomaly detection Scientific Data 11(1), 365 (2024)

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T23:24:26.546467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-21T23:21:22.548351Z digest=sha256:86cb4f801ad587eeb3b69c75ad61af8c66cf6715fc4763c288006e1ce24b6410

Observation c24b79b5-d5b6-4e05-9697-cf378670f57d · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

BenchReAD: A systematic benchmark for retinal anomaly detection In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T23:24:26.593063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-21T23:21:22.548351Z digest=sha256:8c9c72f9fa9d83b3f4cf5f498875317aecaeb46f8c71b72507ddded938e7f653

Observation 111ac8f2-c73e-49d7-ba68-be8ee2efe970 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

BenchReAD: A systematic benchmark for retinal anomaly detection In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T23:24:26.575745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-21T23:21:22.548351Z digest=sha256:d9c3d09e3be9f1eb5393ead8527eed03f0bbf9abcbbc7ed90402c9f94bca537a

Observation afae1a0a-e979-405e-8722-095a1a5bb5e2 · outbound

This paper cites Current Diabetes Reports21, 1–16 (2021).

BenchReAD: A systematic benchmark for retinal anomaly detection Current Diabetes Reports21, 1–16 (2021)

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T23:24:26.567671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-21T23:21:22.548351Z digest=sha256:89bc8535ad64e65089914c058664e32e1fc1fba62775543f3dc75f3ab623ae8e

Observation 8ecc6567-5f9c-4679-b3ad-4a1f8e0149e4 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

BenchReAD: A systematic benchmark for retinal anomaly detection In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T23:24:26.549162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-21T23:21:22.548351Z digest=sha256:4e42d09e0ecf04fb0efdd168dce97ceecd80839d1bdf6e1219dc56f0fd7c9926

Observation 962c3df2-c6f0-4fa8-be11-0bfbb049d08b · outbound

This paper cites PLOS Digital Health3(7), e0000454 (2024).

BenchReAD: A systematic benchmark for retinal anomaly detection PLOS Digital Health3(7), e0000454 (2024)

Reference 22

Resolution
verified exact
doi, observed 2026-05-21T23:24:26.119094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-21T23:21:22.548351Z digest=sha256:d22d01e260ecb185f7e19798cccd933f6567c876878b974519bcc6b9ff0b6d04

Observation af074059-e67f-4a1c-aa70-6cc843ae0dea · outbound

This paper cites IEEE transac- tions on biomedical engineering53(6), 1084–1098 (2006).

BenchReAD: A systematic benchmark for retinal anomaly detection IEEE transac- tions on biomedical engineering53(6), 1084–1098 (2006)

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T23:24:26.598106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-21T23:21:22.548351Z digest=sha256:67a06537bd29dc7a68c34aa7a4e8a8c0afe3bf70a946e81070dd34fb4d5bdc11

Observation 8a0cf6a8-d5bf-4238-a7d3-975b95b693aa · outbound

This paper cites an unresolved cited work.

BenchReAD: A systematic benchmark for retinal anomaly detection Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-05-21T23:24:26.586492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-21T23:21:22.548351Z digest=sha256:84f36d26ba4dc7f00cb237b04976a37013533514996a75bebde23cc7f3d15a9f

Observation d8f55e5c-3846-4859-a2ed-e528be9ec203 · outbound

This paper cites Advances in neural information processing sys- tems 32 (2019).

BenchReAD: A systematic benchmark for retinal anomaly detection Advances in neural information processing sys- tems 32 (2019)

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T23:24:26.600884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-21T23:21:22.548351Z digest=sha256:25cacc7df89ea293fc3dcf39eccebdc8c24fbde119e19dee6659de3248de7077

Observation 3b799e30-b9cb-469c-b392-d1390f5717e2 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

BenchReAD: A systematic benchmark for retinal anomaly detection In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T23:24:26.606560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-21T23:21:22.548351Z digest=sha256:0a9bae4b89b97c07729e957439c67671ca6263a1c0b313cf203452519f479545

Observation 6f03dbb3-d38e-4e58-9f0e-09cce72a5bb3 · outbound

This paper cites Signal Processing: Image Communication 127, 117151 BenchReAD: A systematic benchmark for retinal anomaly detection 11 (2024).

BenchReAD: A systematic benchmark for retinal anomaly detection Signal Processing: Image Communication 127, 117151 BenchReAD: A systematic benchmark for retinal anomaly detection 11 (2024)

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-21T23:24:26.113790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-21T23:21:22.548351Z digest=sha256:82f6b243c1413d21bc5657dccebe78ab27a27cdfecd67fe3d13477f97c9511c7

Observation f4d8f6fa-cb9c-415c-abef-7542477bf3c0 · outbound

This paper cites IEEE Transac- tions on Cybernetics (2024).

BenchReAD: A systematic benchmark for retinal anomaly detection IEEE Transac- tions on Cybernetics (2024)

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T23:24:26.611981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-21T23:21:22.548351Z digest=sha256:388581c061d5afe3002613bb53c7276793d594cd1bfc20d54efbe39427566cc1

Observation 147f734f-a064-44df-aed8-eb6509fb7e6e · outbound

This paper cites In: 2024 International Joint Conference on Neural Networks (IJCNN).

BenchReAD: A systematic benchmark for retinal anomaly detection In: 2024 International Joint Conference on Neural Networks (IJCNN)

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T23:24:26.614773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-21T23:21:22.548351Z digest=sha256:edcce7263e182ebbb47189d4f7f7a8626af3e6183f231b2ddeedd614ae01f672

Pith citing papers

No inbound Pith citation observations are available.