Paper Citation Record · LEDGER

Modality-Agnostic Input Channels Enable Segmentation of Brain lesions in Multimodal MRI with Sequences Unavailable During Training

As of 10 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 2 inbound Pith citation observations for arXiv:2509.09290.

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

pith.paper-citation-record.v1
2509.09290 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T19:27:45.199268Z

measured 25 of 25 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T05:46:44.204404Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

23 of 23 outbound references displayed

verified exact0
verified fuzzy0
unresolved23
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1f0778d5-86be-487e-8a5c-4da9bf8fb92d · outbound

This paper cites International conference on medical imaging with deep learning (2022).

Modality-Agnostic Input Channels Enable Segmentation of Brain lesions in Multimodal MRI with Sequences Unavailable During Training International conference on medical imaging with deep learning (2022)

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T19:27:45.088516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 610f65ac-0056-4296-9dce-64f0f14cc4eb · outbound

This paper cites Scientific data (2017).

Modality-Agnostic Input Channels Enable Segmentation of Brain lesions in Multimodal MRI with Sequences Unavailable During Training Scientific data (2017)

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T19:27:45.094476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24cf765f-69e5-4966-85e0-f1ae4c02e5b0 · outbound

This paper cites Medical Image Analysis (2023).

Modality-Agnostic Input Channels Enable Segmentation of Brain lesions in Multimodal MRI with Sequences Unavailable During Training Medical Image Analysis (2023)

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T19:27:45.099763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5399222-fbcb-475f-be49-e4f2b208e024 · outbound

This paper cites BrainLes Workshop, International Conference on Medical Image Computing and Computer-Assisted Intervention (2019).

Modality-Agnostic Input Channels Enable Segmentation of Brain lesions in Multimodal MRI with Sequences Unavailable During Training BrainLes Workshop, International Conference on Medical Image Computing and Computer-Assisted Intervention (2019)

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T19:27:45.104671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10bf39f3-194c-4dc8-86e1-cfb77376d8bc · outbound

This paper cites Scientific Reports 2018 8:1 (2018).

Modality-Agnostic Input Channels Enable Segmentation of Brain lesions in Multimodal MRI with Sequences Unavailable During Training Scientific Reports 2018 8:1 (2018)

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T19:27:45.109829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17bbcc25-0991-42d1-aa56-67cc8bfcf6f2 · outbound

This paper cites Advances in neural information processing systems32(2019).

Modality-Agnostic Input Channels Enable Segmentation of Brain lesions in Multimodal MRI with Sequences Unavailable During Training Advances in neural information processing systems32(2019)

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T19:27:45.115270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f11f572d-28f7-4e9e-b62d-9b29925a1caf · outbound

This paper cites Interna- tional Conference on Medical Image Computing and Computer-Assisted Interven- tion (2017).

Modality-Agnostic Input Channels Enable Segmentation of Brain lesions in Multimodal MRI with Sequences Unavailable During Training Interna- tional Conference on Medical Image Computing and Computer-Assisted Interven- tion (2017)

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T19:27:45.120728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d330576-1a92-482c-a437-abc99d017a5e · outbound

This paper cites International Conference on Medical Image Computing and Computer-Assisted Intervention (2016).

Modality-Agnostic Input Channels Enable Segmentation of Brain lesions in Multimodal MRI with Sequences Unavailable During Training International Conference on Medical Image Computing and Computer-Assisted Intervention (2016)

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T19:27:45.125485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 402a5b7d-cf99-4a7a-b00d-4c85ed10903b · outbound

This paper cites Scientific Data 2022 9:1 (2022) 12 A.P.Addison et al.

Modality-Agnostic Input Channels Enable Segmentation of Brain lesions in Multimodal MRI with Sequences Unavailable During Training Scientific Data 2022 9:1 (2022) 12 A.P.Addison et al

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T19:27:45.130565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32e01ab9-6862-4efe-98a4-6e54e6b57942 · outbound

This paper cites International Conference on Medical Image Computing and Computer- Assisted Intervention (2024).

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T19:27:45.135407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b8d5080-5da0-4d8d-9398-f97e9228c16a · outbound

This paper cites Information Processing in Medical Imaging (IPMI) (2017).

Modality-Agnostic Input Channels Enable Segmentation of Brain lesions in Multimodal MRI with Sequences Unavailable During Training Information Processing in Medical Imaging (IPMI) (2017)

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T19:27:45.140208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c328ae92-61d1-4dad-ad8c-e278efc86f11 · outbound

This paper cites Medical Image Analysis (2017).

Modality-Agnostic Input Channels Enable Segmentation of Brain lesions in Multimodal MRI with Sequences Unavailable During Training Medical Image Analysis (2017)

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T19:27:45.144990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ada9d490-73f7-4ba2-871b-d7d3d85b80c1 · outbound

This paper cites IEEE TMI (2019).

Modality-Agnostic Input Channels Enable Segmentation of Brain lesions in Multimodal MRI with Sequences Unavailable During Training IEEE TMI (2019)

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T19:27:45.149909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab5edcd6-8afd-4a2b-9207-74e0819b435f · outbound

This paper cites Scientific Data 2022 9:1 (2022).

Modality-Agnostic Input Channels Enable Segmentation of Brain lesions in Multimodal MRI with Sequences Unavailable During Training Scientific Data 2022 9:1 (2022)

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T19:27:45.155667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a368eac-e79d-4339-aa8a-4791a0ef3cd5 · outbound

This paper cites Nature Communications 2024 15:1 (2024).

Modality-Agnostic Input Channels Enable Segmentation of Brain lesions in Multimodal MRI with Sequences Unavailable During Training Nature Communications 2024 15:1 (2024)

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T19:27:45.161039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bdaa2935-9d1b-46b9-9c24-2d0eabd34477 · outbound

This paper cites Medical image analysis (2017).

Modality-Agnostic Input Channels Enable Segmentation of Brain lesions in Multimodal MRI with Sequences Unavailable During Training Medical image analysis (2017)

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T19:27:45.165676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e5045b1-ecf9-44ef-bc1a-9b120efd04d7 · outbound

This paper cites IEEE Transactions on Medical Imaging (2022).

Modality-Agnostic Input Channels Enable Segmentation of Brain lesions in Multimodal MRI with Sequences Unavailable During Training IEEE Transactions on Medical Imaging (2022)

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T19:27:45.170290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68b97781-511c-4a02-93c9-1eaaaaf097d9 · outbound

This paper cites Diagnostics (2023).

Modality-Agnostic Input Channels Enable Segmentation of Brain lesions in Multimodal MRI with Sequences Unavailable During Training Diagnostics (2023)

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T19:27:45.175240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55bacce3-762e-4956-b2d6-cafe17c96644 · outbound

This paper cites Neu- roImage: Clinical (2019).

Modality-Agnostic Input Channels Enable Segmentation of Brain lesions in Multimodal MRI with Sequences Unavailable During Training Neu- roImage: Clinical (2019)

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T19:27:45.180052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e14eeada-7728-4505-91e7-f208994fdff1 · outbound

This paper cites Medical Imaging with Deep Learning (2024).

Modality-Agnostic Input Channels Enable Segmentation of Brain lesions in Multimodal MRI with Sequences Unavailable During Training Medical Imaging with Deep Learning (2024)

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T19:27:45.184635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40bfdf48-fbaa-4839-8f95-f12227f9e740 · outbound

This paper cites International Conference on Learning Representations (2018).

Modality-Agnostic Input Channels Enable Segmentation of Brain lesions in Multimodal MRI with Sequences Unavailable During Training International Conference on Learning Representations (2018)

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T19:27:45.189317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 372f5a1c-53d6-4dce-a3d0-2abf1510521a · outbound

This paper cites In: International Conference on Med- ical Image Computing and Computer-Assisted Intervention.

Modality-Agnostic Input Channels Enable Segmentation of Brain lesions in Multimodal MRI with Sequences Unavailable During Training In: International Conference on Med- ical Image Computing and Computer-Assisted Intervention

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T19:27:45.194325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a954c75-d710-43d4-9534-ab3236e94d89 · outbound

This paper cites DLMIA 2018 workshop, Inter- national Conference on Medical Image Computing and Computer-Assisted Inter- vention (2018).

Modality-Agnostic Input Channels Enable Segmentation of Brain lesions in Multimodal MRI with Sequences Unavailable During Training DLMIA 2018 workshop, Inter- national Conference on Medical Image Computing and Computer-Assisted Inter- vention (2018)

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T19:27:45.199268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 769de07e-255c-4a59-9e1f-0daa6cceda19 · inbound

Pretraining EHR Foundation Models with Patient-Aware Sampling cites this paper.

Pretraining EHR Foundation Models with Patient-Aware Sampling Modality-Agnostic Input Channels Enable Segmentation of Brain lesions in Multimodal MRI with Sequences Unavailable During Training

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T05:46:44.204404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16f88545-1bd4-490f-a82a-9fcf1653685c · inbound

Autoregressive EHR Foundation Models with Multimodal Inputs cites this paper.

Autoregressive EHR Foundation Models with Multimodal Inputs Modality-Agnostic Input Channels Enable Segmentation of Brain lesions in Multimodal MRI with Sequences Unavailable During Training

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T05:20:33.413708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.