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Paper Citation Record · LEDGER

BOTM: Echocardiography Segmentation via Bi-directional Optimal Token Matching

As of 20 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2505.18052.

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

pith.paper-citation-record.v1
2505.18052 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:41:32.046989Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

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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

36 of 36 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5411aba8-0dca-4d85-90de-9aaf543ba172 · outbound

This paper cites Multi-frame attention network for left ventricle segmentation in 3d echocardiography.

BOTM: Echocardiography Segmentation via Bi-directional Optimal Token Matching Multi-frame attention network for left ventricle segmentation in 3d echocardiography

Reference 1

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Observation 8ec378a5-5eea-48a7-8a9c-cadb1cef8554 · outbound

This paper cites Swin-unet: Unet-like pure transformer for medical image segmenta- tion.

BOTM: Echocardiography Segmentation via Bi-directional Optimal Token Matching Swin-unet: Unet-like pure transformer for medical image segmenta- tion

Reference 2

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Observation 8b066329-c519-4534-8eca-a050cc7f978e · outbound

This paper cites Crossvit: Cross-attention multi-scale vision transformer for image classification.

BOTM: Echocardiography Segmentation via Bi-directional Optimal Token Matching Crossvit: Cross-attention multi-scale vision transformer for image classification

Reference 3

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Observation a5d0b1f0-06cb-4c07-a456-01e789ef04e7 · outbound

This paper cites Deep semi-supervised ultrasound image segmen- tation by using a shadow aware network with boundary refinement.IEEE TMI, 2023.

BOTM: Echocardiography Segmentation via Bi-directional Optimal Token Matching Deep semi-supervised ultrasound image segmen- tation by using a shadow aware network with boundary refinement.IEEE TMI, 2023

Reference 4

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Source-reported events for the cited work

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Observation 9523bf42-8efe-492c-9154-f3102b31083b · outbound

This paper cites Lungren, Shaoting Zhang, Lei Xing, Le Lu, Alan Yuille, and Yuyin Zhou.

BOTM: Echocardiography Segmentation via Bi-directional Optimal Token Matching Lungren, Shaoting Zhang, Lei Xing, Le Lu, Alan Yuille, and Yuyin Zhou

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 53bab6a4-cde3-4e6a-b967-661293e35520 · outbound

This paper cites Sinkhorn distances: Lightspeed computation of optimal transport.

BOTM: Echocardiography Segmentation via Bi-directional Optimal Token Matching Sinkhorn distances: Lightspeed computation of optimal transport

Reference 6

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Source-reported events for the cited work

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Observation 92423436-7f4d-4d02-91d0-99c9692fa4c9 · outbound

This paper cites Cyclical self- supervision for semi-supervised ejection fraction prediction from echocardiogram videos.IEEE TMI, 2022.

BOTM: Echocardiography Segmentation via Bi-directional Optimal Token Matching Cyclical self- supervision for semi-supervised ejection fraction prediction from echocardiogram videos.IEEE TMI, 2022

Reference 7

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Source-reported events for the cited work

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Observation e1c0bbb8-0ce1-4b2c-b458-e7140e64c1da · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

BOTM: Echocardiography Segmentation via Bi-directional Optimal Token Matching An image is worth 16x16 words: Transformers for image recognition at scale

Reference 8

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Source-reported events for the cited work

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Observation 6752ec5c-54ef-4729-bd7c-9167a738a80e · outbound

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BOTM: Echocardiography Segmentation via Bi-directional Optimal Token Matching Unresolved cited work

Reference 9

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Source-reported events for the cited work

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Observation 30feb7e7-e78f-4692-bd2f-e4f185b41d6e · outbound

This paper cites Cc-sam: Sam with cross-feature attention and context for ultrasound image segmentation.

BOTM: Echocardiography Segmentation via Bi-directional Optimal Token Matching Cc-sam: Sam with cross-feature attention and context for ultrasound image segmentation

Reference 10

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Source-reported events for the cited work

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Observation d1117bbb-c668-419c-ac15-432d7dd3bd4b · outbound

This paper cites H2former: An efficient hierarchical hybrid transformer for medical image segmentation.IEEE Transactions on Medical Imaging, 42(9):2763–2775, 2023.

BOTM: Echocardiography Segmentation via Bi-directional Optimal Token Matching H2former: An efficient hierarchical hybrid transformer for medical image segmentation.IEEE Transactions on Medical Imaging, 42(9):2763–2775, 2023

Reference 11

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Source-reported events for the cited work

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Observation 3bce8129-a589-4a9f-a64c-ad88855d5fb3 · outbound

This paper cites Accurate multi-contrast mri super-resolution via a dual cross-attention transformer network.

BOTM: Echocardiography Segmentation via Bi-directional Optimal Token Matching Accurate multi-contrast mri super-resolution via a dual cross-attention transformer network

Reference 12

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Source-reported events for the cited work

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Observation 238ad40e-0e8a-438f-9dd7-7326d624df89 · outbound

This paper cites Diffusemorph: Unsupervised deformable image registration using diffusion model.

BOTM: Echocardiography Segmentation via Bi-directional Optimal Token Matching Diffusemorph: Unsupervised deformable image registration using diffusion model

Reference 13

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Source-reported events for the cited work

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Observation 046631f3-f2fb-4efe-b5bf-7b40d993b6e0 · outbound

This paper cites Seg- ment anything.

BOTM: Echocardiography Segmentation via Bi-directional Optimal Token Matching Seg- ment anything

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 4ba7435a-f6c5-4277-b7b8-684f4535583a · outbound

This paper cites an unresolved cited work.

BOTM: Echocardiography Segmentation via Bi-directional Optimal Token Matching Unresolved cited work

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 5daf8162-2748-4c5d-9aaa-dcb406502545 · outbound

This paper cites Deep learning for segmentation using an open large-scale dataset in 2d echocardiography.IEEE TMI, 38(9):2198–2210, 2019.

BOTM: Echocardiography Segmentation via Bi-directional Optimal Token Matching Deep learning for segmentation using an open large-scale dataset in 2d echocardiography.IEEE TMI, 38(9):2198–2210, 2019

Reference 16

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Source-reported events for the cited work

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Observation 0e298152-35f5-4196-a3c3-d7ad2233e19d · outbound

This paper cites Beyond adapting sam: To- wards end-to-end ultrasound image segmentation via auto prompting.

BOTM: Echocardiography Segmentation via Bi-directional Optimal Token Matching Beyond adapting sam: To- wards end-to-end ultrasound image segmentation via auto prompting

Reference 17

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Source-reported events for the cited work

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Observation 56b22efe-2eca-492c-8482-3acf1d29f5f4 · outbound

This paper cites Few shot medical image segmentation with cross attention transformer.

BOTM: Echocardiography Segmentation via Bi-directional Optimal Token Matching Few shot medical image segmentation with cross attention transformer

Reference 18

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Source-reported events for the cited work

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Observation 2afc5e92-3171-429d-a8ce-6e75f7e603ac · outbound

This paper cites Heart failure incidence and survival (from the atherosclerosis risk in com- munities study).The American journal of cardiology, 101(7):1016–1022, 2008.

BOTM: Echocardiography Segmentation via Bi-directional Optimal Token Matching Heart failure incidence and survival (from the atherosclerosis risk in com- munities study).The American journal of cardiology, 101(7):1016–1022, 2008

Reference 19

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Source-reported events for the cited work

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Observation 0108ec99-0bfc-48d2-890e-3749b76d7b11 · outbound

This paper cites Algorithms for the assignment and transportation problems.Journal of the society for industrial and applied mathematics, 5(1):32–38, 1957.

BOTM: Echocardiography Segmentation via Bi-directional Optimal Token Matching Algorithms for the assignment and transportation problems.Journal of the society for industrial and applied mathematics, 5(1):32–38, 1957

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 666c893d-9d5b-4442-b364-d11a94da3448 · outbound

This paper cites Anatomically constrained neural networks (acnns): application to car- diac image enhancement and segmentation.IEEE TMI, 37(2):384–395, 2017.

BOTM: Echocardiography Segmentation via Bi-directional Optimal Token Matching Anatomically constrained neural networks (acnns): application to car- diac image enhancement and segmentation.IEEE TMI, 37(2):384–395, 2017

Reference 21

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Observation 74c6c8a3-b7f3-4f54-b07d-ab6b245421d4 · outbound

This paper cites Attention u-net: Learning where to look for the pancreas.

BOTM: Echocardiography Segmentation via Bi-directional Optimal Token Matching Attention u-net: Learning where to look for the pancreas

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 4f071e56-ae33-479b-829f-0ad7e4f6a475 · outbound

This paper cites Cardiac segmentation with strong anatomical guarantees.

BOTM: Echocardiography Segmentation via Bi-directional Optimal Token Matching Cardiac segmentation with strong anatomical guarantees

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation d0e4a750-33fe-4e2f-931e-55bf4f351838 · outbound

This paper cites Echocardiography segmentation with enforced temporal consistency.IEEE TMI, 41 (10):2867–2878, 2022.

BOTM: Echocardiography Segmentation via Bi-directional Optimal Token Matching Echocardiography segmentation with enforced temporal consistency.IEEE TMI, 41 (10):2867–2878, 2022

Reference 24

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Source-reported events for the cited work

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Observation 39e7e43d-71da-44d1-a1d0-19d72e57bdf2 · outbound

This paper cites Computational optimal transport: With applications to data science.Foundations and Trends® in Machine Learning, 11(5-6):355–607, 2019.

BOTM: Echocardiography Segmentation via Bi-directional Optimal Token Matching Computational optimal transport: With applications to data science.Foundations and Trends® in Machine Learning, 11(5-6):355–607, 2019

Reference 25

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Source-reported events for the cited work

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Observation b593e6ac-cca8-4014-ba90-05642c3564d8 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

BOTM: Echocardiography Segmentation via Bi-directional Optimal Token Matching U-net: Convolutional networks for biomedical image segmentation

Reference 26

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Source-reported events for the cited work

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Observation 31ff9e2c-1ca7-4187-a8cc-7f61352a797f · outbound

This paper cites Superglue: Learning feature matching with graph neural networks.

BOTM: Echocardiography Segmentation via Bi-directional Optimal Token Matching Superglue: Learning feature matching with graph neural networks

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation e05425ee-9161-4fa7-adea-e3c3d88e4446 · outbound

This paper cites Temporal-consistent segmentation of echocardiography with co-learning from ap- pearance and shape.

BOTM: Echocardiography Segmentation via Bi-directional Optimal Token Matching Temporal-consistent segmentation of echocardiography with co-learning from ap- pearance and shape

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 0f515935-c13b-4a40-8e36-8bca64a011d6 · outbound

This paper cites Learning super-features for image retrieval.

BOTM: Echocardiography Segmentation via Bi-directional Optimal Token Matching Learning super-features for image retrieval

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation a331fda1-6fc8-48fd-ade6-c492e423a1b4 · outbound

This paper cites Fat-net: Feature adaptive transformers for automated skin lesion segmentation.Medi- cal image analysis, 76:102327, 2022.

BOTM: Echocardiography Segmentation via Bi-directional Optimal Token Matching Fat-net: Feature adaptive transformers for automated skin lesion segmentation.Medi- cal image analysis, 76:102327, 2022

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 641a2f03-868e-4ea9-b8f2-3a306537d5bb · outbound

This paper cites Segformer: Simple and efficient design for semantic segmentation with trans- formers.NeurIPS, 34:12077–12090, 2021.

BOTM: Echocardiography Segmentation via Bi-directional Optimal Token Matching Segformer: Simple and efficient design for semantic segmentation with trans- formers.NeurIPS, 34:12077–12090, 2021

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 91954c21-58eb-4504-abee-6d460f848577 · outbound

This paper cites Sam: Self-supervised learning of pixel-wise anatomical embeddings in radiological images.IEEE TMI, 41(10):2658–2669, 2022.

BOTM: Echocardiography Segmentation via Bi-directional Optimal Token Matching Sam: Self-supervised learning of pixel-wise anatomical embeddings in radiological images.IEEE TMI, 41(10):2658–2669, 2022

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T14:41:31.386301Z digest=sha256:dc02187aecff21cd1d8841710ad21dc02f2dd014a328b3a3ccc0b9545d12c344

Observation 8c227b2f-21f4-4d24-9dbf-cda9f29a2aae · outbound

This paper cites Bidirectional recurrence for cardiac motion tracking with gaussian process latent coding.Advances in Neural Information Processing Systems, 37:34800–34823, 2024.

BOTM: Echocardiography Segmentation via Bi-directional Optimal Token Matching Bidirectional recurrence for cardiac motion tracking with gaussian process latent coding.Advances in Neural Information Processing Systems, 37:34800–34823, 2024

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:41:33.325290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T14:41:31.549309Z digest=sha256:33f0b6dac769f8230310f24537e380cca1f057b121d7027d2a4f9abdcdbfa420

Observation 6f82a6fb-1287-4865-8e81-503cfefdad0e · outbound

This paper cites Dun- can.

BOTM: Echocardiography Segmentation via Bi-directional Optimal Token Matching Dun- can

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:41:33.046789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T14:41:31.694674Z digest=sha256:42f24fc987f7a9ee65092f2e156d9c591aca25e9336fac7d4b00beb293e70054

Observation 8792a46a-07bd-4497-8c09-671b4516066a · outbound

This paper cites Gl-fusion: Global-local fusion network for multi-view echocardiogram video segmentation.

BOTM: Echocardiography Segmentation via Bi-directional Optimal Token Matching Gl-fusion: Global-local fusion network for multi-view echocardiogram video segmentation

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:41:32.727252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T14:41:31.902753Z digest=sha256:362ee6b9c3df7bf04ecf91680946b999309466c2606b71f13309e4e970a1e828

Observation df4c44a8-952a-48d7-b482-81d8685113b7 · outbound

This paper cites Epidemiology and aetiology of heart failure.

BOTM: Echocardiography Segmentation via Bi-directional Optimal Token Matching Epidemiology and aetiology of heart failure

Reference 36

Resolution
malformed identifier
raw_fallback, observed 2026-08-07T14:41:32.413363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T14:41:32.046989Z digest=sha256:ac1b82243a68bd807b14c0ade08f90d85e93fd1bb6e633eadfd8fc944885ae19

Pith citing papers

No inbound Pith citation observations are available.