Paper Citation Record · LEDGER

AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2206.08023.

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

pith.paper-citation-record.v1
2206.08023 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T22:30:01.399394Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-08T03:04:28.416189Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 6b9ca674-3adf-4e94-8f12-b92430aac683 · inbound

Good Enough? An Investigation on the Impact of Label Quality in Large-Scale Medical Datasets cites this paper.

Good Enough? An Investigation on the Impact of Label Quality in Large-Scale Medical Datasets AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T13:47:30.837272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 269942c0-872a-4abe-9b1c-34578e81452e · inbound

DrVD-Bench: Do Vision-Language Models Reason Like Human Doctors in Medical Image Diagnosis? cites this paper.

DrVD-Bench: Do Vision-Language Models Reason Like Human Doctors in Medical Image Diagnosis? AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:07.673304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92377259-3bd5-483a-ad35-0ae2f09d1543 · inbound

HyperSORT: Self-Organising Robust Training with hyper-networks cites this paper.

HyperSORT: Self-Organising Robust Training with hyper-networks AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T22:30:05.553454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74237d85-a39d-4b5e-bcdb-24443c2d574d · inbound

Is Visual in-Context Learning for Compositional Medical Tasks within Reach? cites this paper.

Is Visual in-Context Learning for Compositional Medical Tasks within Reach? AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-06T21:12:05.916185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f3d2885-dc90-4893-9224-0fade570ce7b · inbound

Learning Segmentation from Radiology Reports cites this paper.

Learning Segmentation from Radiology Reports AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T19:30:54.414392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09bf0915-9432-4b2c-9788-b249b7721222 · inbound

Large-scale Multi-sequence Pretraining for Generalizable MRI Analysis in Versatile Clinical Applications cites this paper.

Large-scale Multi-sequence Pretraining for Generalizable MRI Analysis in Versatile Clinical Applications AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-05T22:24:20.902051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9aa6436-5aa3-4b9d-ab26-c44e8aed5802 · inbound

Semantic-aware Random Convolution and Source Matching for Domain Generalization in Medical Image Segmentation cites this paper.

Semantic-aware Random Convolution and Source Matching for Domain Generalization in Medical Image Segmentation AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation

Reference 17

Resolution: malformed identifier; arxiv_id, observed 2026-05-17T03:21:28.452305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0c924aed-a242-4f43-bc3e-0637a57c6695 · inbound

In search of truth: Evaluating concordance of AI-based anatomy segmentation models cites this paper.

In search of truth: Evaluating concordance of AI-based anatomy segmentation models AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-16T21:08:32.938936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f4282e66-e61c-48cf-a435-bcc4db4eb205 · inbound

SegMoTE: Token-Level Mixture of Experts for Medical Image Segmentation cites this paper.

SegMoTE: Token-Level Mixture of Experts for Medical Image Segmentation AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T21:47:25.175801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f2fbcde-2c47-46d3-b869-f37e3b30de2a · inbound

Geometrical Cross-Attention and Nonvoid Voxelization for Efficient 3D Medical Image Segmentation cites this paper.

Geometrical Cross-Attention and Nonvoid Voxelization for Efficient 3D Medical Image Segmentation AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:10:49.661516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a14df97c-5c5d-41c7-aa6c-d60d4fb21a4d · inbound

Probing Intrinsic Medical Task Relationships: A Contrastive Learning Perspective cites this paper.

Probing Intrinsic Medical Task Relationships: A Contrastive Learning Perspective AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:25:50.226834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0a9d90f0-c8d5-4968-9aff-81753edd5cb9 · inbound

Co-distilled attention guided masked image modeling with noisy teacher for self-supervised learning on medical images cites this paper.

Co-distilled attention guided masked image modeling with noisy teacher for self-supervised learning on medical images AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-10T12:20:22.921814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d65fa13c-baf3-4c62-91cf-b9d7e2dac25a · inbound

Knowledge Transfer Scaling Laws for 3D Medical Imaging cites this paper.

Knowledge Transfer Scaling Laws for 3D Medical Imaging AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T01:45:51.625910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4e66f3ed-1c48-45fc-a010-205a35dee209 · inbound

Vision Transformer-Conditioned UNet for Domain-Adaptive Semantic Segmentation cites this paper.

Vision Transformer-Conditioned UNet for Domain-Adaptive Semantic Segmentation AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-05-20T22:43:51.195970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c93c064a-c527-4327-85c3-2d8d658bc3cd · inbound

TriALS: Triphasic-Aided Liver Lesion Segmentation Benchmark in Non-Contrast CT cites this paper.

TriALS: Triphasic-Aided Liver Lesion Segmentation Benchmark in Non-Contrast CT AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-20T18:58:53.956156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ca0fbb48-84d2-48d3-87e0-757363544546 · inbound

Benchmarking transferability of SSL pretraining to same and different modality segmentation tasks cites this paper.

Benchmarking transferability of SSL pretraining to same and different modality segmentation tasks AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-20T11:33:14.520538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7c19da9d-1f8d-4d36-8270-17e3d2c8c655 · inbound

The Large Cancer Assistant (LCA): A Model-Agnostic Orchestration Framework for Scalable Clinical Decision Support in Oncology cites this paper.

The Large Cancer Assistant (LCA): A Model-Agnostic Orchestration Framework for Scalable Clinical Decision Support in Oncology AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-07-08T03:04:28.417546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a5c73079-21a2-49db-9360-f87fc4014d7a · inbound

Curia-MAE: Multi-Modal Multi-Anatomy MAE Pre-Training for 3D Medical Image Segmentation cites this paper.

Curia-MAE: Multi-Modal Multi-Anatomy MAE Pre-Training for 3D Medical Image Segmentation AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T22:30:01.399394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.