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Paper Citation Record · LEDGER

Decoupled Single-Mask Annotation Noise Detection via Cross-Sectional Patch Self-Consistency

As of 10 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2607.05965.

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

pith.paper-citation-record.v1
2607.05965 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T11:50:26.030339Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

28 of 28 outbound references displayed

  • verified exact8
  • verified fuzzy9
  • unresolved4
  • parse uncertain0
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  • metadata mismatch5

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f41bbc72-d348-4235-a59d-67eda5a5ba8d · outbound

This paper cites Wiley Series in Probability and Statistics, John Wiley & Sons, Hoboken, NJ, 3rd edn.

Decoupled Single-Mask Annotation Noise Detection via Cross-Sectional Patch Self-Consistency Wiley Series in Probability and Statistics, John Wiley & Sons, Hoboken, NJ, 3rd edn

Reference 1

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Observation ffe81f64-e7c6-43da-b575-b21134a47950 · outbound

This paper cites The American Mathematical Monthly82(3), 246–251 (1975).https://doi.org/10.2307/2319846.

Decoupled Single-Mask Annotation Noise Detection via Cross-Sectional Patch Self-Consistency The American Mathematical Monthly82(3), 246–251 (1975).https://doi.org/10.2307/2319846

Reference 2

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 0bdadb30-33a2-4ada-b5e9-bc5ce62afddd · outbound

This paper cites Prentice-Hall, Englewood Cliffs, NJ (1976).

Decoupled Single-Mask Annotation Noise Detection via Cross-Sectional Patch Self-Consistency Prentice-Hall, Englewood Cliffs, NJ (1976)

Reference 3

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Observation e8cc90db-b03b-4d52-8ed9-27bc7dacc0b7 · outbound

This paper cites an unresolved cited work.

Decoupled Single-Mask Annotation Noise Detection via Cross-Sectional Patch Self-Consistency Unresolved cited work

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 20ee251a-3a5f-48aa-9d80-4e64d22477ca · outbound

This paper cites IEEE Transactions on Big Data (2025).

Decoupled Single-Mask Annotation Noise Detection via Cross-Sectional Patch Self-Consistency IEEE Transactions on Big Data (2025)

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation b49bf9f1-6fdd-4e21-bdde-20221d1d1f8c · outbound

This paper cites nnU-Net: A Self-Configuring Method for Deep Learning-Based Biomedical Image Segmentation.

Decoupled Single-Mask Annotation Noise Detection via Cross-Sectional Patch Self-Consistency nnU-Net: A Self-Configuring Method for Deep Learning-Based Biomedical Image Segmentation

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation ddc5a1e9-c282-48e6-98f1-d6e1b23b250b · outbound

This paper cites Full Duplex Hybrid A/D Beamforming with Reduced Complexity Multi-Tap Analog Cancellation.

Decoupled Single-Mask Annotation Noise Detection via Cross-Sectional Patch Self-Consistency Full Duplex Hybrid A/D Beamforming with Reduced Complexity Multi-Tap Analog Cancellation

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation ab567f30-6641-41bf-8c33-5fdd45513a2e · outbound

This paper cites In: Proceed- ings of the Second Workshop on the LLVM Compiler Infrastructure in HPC.

Decoupled Single-Mask Annotation Noise Detection via Cross-Sectional Patch Self-Consistency In: Proceed- ings of the Second Workshop on the LLVM Compiler Infrastructure in HPC

Reference 8

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation d6362043-45f9-4075-8fc8-b6fc9e614757 · outbound

This paper cites an unresolved cited work.

Decoupled Single-Mask Annotation Noise Detection via Cross-Sectional Patch Self-Consistency Unresolved cited work

Reference 9

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Observation ad5f8e0f-a13b-4261-90f0-c05bdbcca92a · outbound

This paper cites Modeling Annotator Preference and Stochastic Annotation Error for Medical Image Segmentation.

Decoupled Single-Mask Annotation Noise Detection via Cross-Sectional Patch Self-Consistency Modeling Annotator Preference and Stochastic Annotation Error for Medical Image Segmentation

Reference 10

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 547024f1-baaf-4e6b-a9f7-c08ef9d500da · outbound

This paper cites A ConvNet for the 2020s.

Decoupled Single-Mask Annotation Noise Detection via Cross-Sectional Patch Self-Consistency A ConvNet for the 2020s

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 5e744621-5955-4b57-af56-62c43c5cada0 · outbound

This paper cites In: Ourselin, S., Haynor, D.R.

Decoupled Single-Mask Annotation Noise Detection via Cross-Sectional Patch Self-Consistency In: Ourselin, S., Haynor, D.R

Reference 12

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 2fd7667a-bf49-4e8e-84a8-50ae38d4120e · outbound

This paper cites an unresolved cited work.

Decoupled Single-Mask Annotation Noise Detection via Cross-Sectional Patch Self-Consistency Unresolved cited work

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation f2df7d98-9c5c-4b52-a443-c57705d4b38d · outbound

This paper cites In: Advances in Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track (2021).

Decoupled Single-Mask Annotation Noise Detection via Cross-Sectional Patch Self-Consistency In: Advances in Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track (2021)

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 79f27e56-e8ce-4253-8090-a562fc404cad · outbound

This paper cites In: Proceedings of the 14th Python in Science Conference.

Decoupled Single-Mask Annotation Noise Detection via Cross-Sectional Patch Self-Consistency In: Proceedings of the 14th Python in Science Conference

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 5db7f7ee-efe7-41cb-99f9-d7fe05aff6ef · outbound

This paper cites In: Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T., Varol, G.

Decoupled Single-Mask Annotation Noise Detection via Cross-Sectional Patch Self-Consistency In: Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T., Varol, G

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 333bd9c2-f133-4f88-9afd-4b9581f5fc40 · outbound

This paper cites an unresolved cited work.

Decoupled Single-Mask Annotation Noise Detection via Cross-Sectional Patch Self-Consistency Unresolved cited work

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation a955bc37-8172-4ca2-a733-e4e79f9539c2 · outbound

This paper cites Annals of biomedical engineering 45(3), 525–541 (2017) Cross-Sectional Consistency Annotation Noise Detection 11.

Decoupled Single-Mask Annotation Noise Detection via Cross-Sectional Patch Self-Consistency Annals of biomedical engineering 45(3), 525–541 (2017) Cross-Sectional Consistency Annotation Noise Detection 11

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation b5625153-6175-4444-a79e-53bd7234ca8b · outbound

This paper cites Simultaneous truth and performance level estimation (STAPLE): An algorithm for the validation of image segmentation.

Decoupled Single-Mask Annotation Noise Detection via Cross-Sectional Patch Self-Consistency Simultaneous truth and performance level estimation (STAPLE): An algorithm for the validation of image segmentation

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 1a2c6168-6109-42f6-98e4-0f0cccbd7728 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence38(14), 15943–15951 (Mar 2024).https://doi.

Decoupled Single-Mask Annotation Noise Detection via Cross-Sectional Patch Self-Consistency Proceedings of the AAAI Conference on Artificial Intelligence38(14), 15943–15951 (Mar 2024).https://doi

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 0b628d7a-7566-49f9-ac94-711acbae7d8d · outbound

This paper cites IEEE Transactions on Medical Imaging41(11), 3062–3073 (Nov 2022).https://doi.

Decoupled Single-Mask Annotation Noise Detection via Cross-Sectional Patch Self-Consistency IEEE Transactions on Medical Imaging41(11), 3062–3073 (Nov 2022).https://doi

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 387ad8e1-8944-4faf-a223-7789185db533 · outbound

This paper cites Learning to Segment from Noisy Annotations: A Spatial Correction Approach.

Decoupled Single-Mask Annotation Noise Detection via Cross-Sectional Patch Self-Consistency Learning to Segment from Noisy Annotations: A Spatial Correction Approach

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 7a1f7dcd-1e6f-433b-9199-7004ab9d6cfb · outbound

This paper cites In: 2016 38th annual international confer- ence of the IEEE engineering in medicine and biology society (EMBC).

Decoupled Single-Mask Annotation Noise Detection via Cross-Sectional Patch Self-Consistency In: 2016 38th annual international confer- ence of the IEEE engineering in medicine and biology society (EMBC)

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 837ebb4b-cc67-44a8-965c-33d28718172a · outbound

This paper cites Computerized Medical Imaging and Graphics109, 102287 (2023).https://doi.org/10.

Decoupled Single-Mask Annotation Noise Detection via Cross-Sectional Patch Self-Consistency Computerized Medical Imaging and Graphics109, 102287 (2023).https://doi.org/10

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 3b8b4d79-d6cf-4e64-bc7c-82c788d55ca1 · outbound

This paper cites Understanding deep learning requires rethinking generalization.

Decoupled Single-Mask Annotation Noise Detection via Cross-Sectional Patch Self-Consistency Understanding deep learning requires rethinking generalization

Reference 25

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verified exact
local_arxiv, observed 2026-07-08T20:05:33.727706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation ea405b85-c7d3-4c44-8ca3-dc9a6c0b5cd1 · outbound

This paper cites Pattern Recognition152, 110426 (Aug 2024).

Decoupled Single-Mask Annotation Noise Detection via Cross-Sectional Patch Self-Consistency Pattern Recognition152, 110426 (Aug 2024)

Reference 26

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verified exact
arxiv_id, observed 2026-07-08T20:05:33.746439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 37fa752e-d322-45e9-8e46-3deec3ba113d · outbound

This paper cites In: De Bruijne, M., Cattin, P.C., Cotin, S., Padoy, N., Speidel, S., Zheng, Y., Essert, C.

Decoupled Single-Mask Annotation Noise Detection via Cross-Sectional Patch Self-Consistency In: De Bruijne, M., Cattin, P.C., Cotin, S., Padoy, N., Speidel, S., Zheng, Y., Essert, C

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 3bdc9670-4297-4dfd-81ad-f38e9c3a8e37 · outbound

This paper cites Nature Machine Intelligence pp.

Decoupled Single-Mask Annotation Noise Detection via Cross-Sectional Patch Self-Consistency Nature Machine Intelligence pp

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Pith citing papers

No inbound Pith citation observations are available.