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Paper Citation Record · LEDGER

CenSynCMB: Centre Maps and Physics-Guided Synthesis for Microbleed Detection

As of 9 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2607.05325.

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

pith.paper-citation-record.v1
2607.05325 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-07T17:15:56.040108Z

measured 25 of 25 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 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

25 of 25 outbound references displayed

  • verified exact5
  • verified fuzzy16
  • unresolved1
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bd21ef77-dd15-4048-af7e-7fa6716adda0 · outbound

This paper cites Where is V ALDO? V Ascular Lesions Detection and segmentatiOn challenge at MICCAI 2021,.

CenSynCMB: Centre Maps and Physics-Guided Synthesis for Microbleed Detection Where is V ALDO? V Ascular Lesions Detection and segmentatiOn challenge at MICCAI 2021,

Reference 1

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Source-reported events for the cited work

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Observation c5aa7908-6d01-415b-bd38-6d41630f58d8 · outbound

This paper cites Neuroimaging standards for research into small vessel disease and its contribution to ageing and neurodegeneration,.

CenSynCMB: Centre Maps and Physics-Guided Synthesis for Microbleed Detection Neuroimaging standards for research into small vessel disease and its contribution to ageing and neurodegeneration,

Reference 2

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verified fuzzy
raw_fallback, observed 2026-07-07T17:24:01.421112Z

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.

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Observation 08c1c2eb-8e59-4a1a-b8cc-62f202ca87d4 · outbound

This paper cites Cerebral microbleeds: a guide to detection and interpretation,.

CenSynCMB: Centre Maps and Physics-Guided Synthesis for Microbleed Detection Cerebral microbleeds: a guide to detection and interpretation,

Reference 3

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verified fuzzy
raw_fallback, observed 2026-07-07T17:24:01.417417Z

Source-reported events for the cited work

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Observation 67c7b629-a961-4529-b06c-5f00de02a7cf · outbound

This paper cites The Microbleed Anatomical Rating Scale (MARS): reliability of a tool to map brain microbleeds,.

CenSynCMB: Centre Maps and Physics-Guided Synthesis for Microbleed Detection The Microbleed Anatomical Rating Scale (MARS): reliability of a tool to map brain microbleeds,

Reference 4

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verified fuzzy
raw_fallback, observed 2026-07-07T17:24:01.423893Z

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.

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Observation 306d173e-0d26-44c1-829a-a1fa0059bfbf · outbound

This paper cites Improving interrater agreement about brain microbleeds: development of the Brain Observer MicroBleed Scale (BOMBS),.

CenSynCMB: Centre Maps and Physics-Guided Synthesis for Microbleed Detection Improving interrater agreement about brain microbleeds: development of the Brain Observer MicroBleed Scale (BOMBS),

Reference 5

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raw_fallback, observed 2026-07-07T17:24:01.426511Z

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.

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Observation 777e9372-dd8d-4aaa-9626-047fb8585d6d · outbound

This paper cites an unresolved cited work.

CenSynCMB: Centre Maps and Physics-Guided Synthesis for Microbleed Detection Unresolved cited work

Reference 6

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unresolved
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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.

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Observation a4f0c325-a602-4006-9fc2-4c0d909b3c4a · outbound

This paper cites Synthetic Cerebral Microbleed on SWI Images,.

CenSynCMB: Centre Maps and Physics-Guided Synthesis for Microbleed Detection Synthetic Cerebral Microbleed on SWI Images,

Reference 7

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doi_truncated, observed 2026-07-07T17:24:00.420677Z

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.

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Observation 6512fcc1-4bc4-4cd2-82e2-29a801344756 · outbound

This paper cites A fast calculation method for magnetic field inhomogeneity due to an arbitrary distribution of bulk susceptibility,.

CenSynCMB: Centre Maps and Physics-Guided Synthesis for Microbleed Detection A fast calculation method for magnetic field inhomogeneity due to an arbitrary distribution of bulk susceptibility,

Reference 8

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raw_fallback, observed 2026-07-07T17:24:01.437215Z

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.

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Observation 443f9c55-e198-4c24-9d16-b9fde47f5b7f · outbound

This paper cites MONAI: An open-source framework for deep learning in healthcare.

CenSynCMB: Centre Maps and Physics-Guided Synthesis for Microbleed Detection MONAI: An open-source framework for deep learning in healthcare

Reference 9

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verified exact
local_arxiv, observed 2026-07-07T17:24:00.998223Z

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.

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Observation 713aa059-4c0f-4cca-85b4-984a07b65a12 · outbound

This paper cites Isambard-AI: a leadership class supercomputer optimised specifically for Artificial Intelligence.

CenSynCMB: Centre Maps and Physics-Guided Synthesis for Microbleed Detection Isambard-AI: a leadership class supercomputer optimised specifically for Artificial Intelligence

Reference 10

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metadata mismatch
local_arxiv, observed 2026-07-07T17:24:00.986467Z

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.

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Observation 40f6c661-5fea-467f-a0f0-287ca807c8c5 · outbound

This paper cites Multi-task learning using uncer- tainty to weigh losses for scene geometry and semantics,.

CenSynCMB: Centre Maps and Physics-Guided Synthesis for Microbleed Detection Multi-task learning using uncer- tainty to weigh losses for scene geometry and semantics,

Reference 11

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verified fuzzy
raw_fallback, observed 2026-07-07T17:24:01.414189Z

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.

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Observation 8eb1e36c-0a6c-4d25-b34f-ec0b3fb1a771 · outbound

This paper cites nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation,.

CenSynCMB: Centre Maps and Physics-Guided Synthesis for Microbleed Detection nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation,

Reference 12

Resolution
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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.

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Observation 8d2f6ce4-febe-4eb3-8678-7e0c55624ab0 · outbound

This paper cites Attention U-Net: Learning Where to Look for the Pancreas.

CenSynCMB: Centre Maps and Physics-Guided Synthesis for Microbleed Detection Attention U-Net: Learning Where to Look for the Pancreas

Reference 13

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verified exact
local_arxiv, observed 2026-07-07T17:24:00.995253Z

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.

source=pdf_text observed=2026-07-07T17:15:56.040108Z digest=sha256:27dad1c197a4975a0ae6fe80ff2e8b90a8d8e44ada13d32e49f7ceb4882985e6

Observation 41a742b8-a14a-44ba-8951-303f06ba6835 · outbound

This paper cites Swin UNETR: Swin transformers for semantic segmentation of brain tumors in MRI images,.

CenSynCMB: Centre Maps and Physics-Guided Synthesis for Microbleed Detection Swin UNETR: Swin transformers for semantic segmentation of brain tumors in MRI images,

Reference 14

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verified fuzzy
raw_fallback, observed 2026-07-07T17:24:01.433299Z

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.

source=pdf_text observed=2026-07-07T17:15:56.040108Z digest=sha256:caf917318c9626bc0bcbef7142ab37ae82e01cd40da89cb8ea410bea0a829a96

Observation 147cb89a-1856-41d9-bd5d-73ee6324d702 · outbound

This paper cites VISTA3D: A unified segmentation foundation model for 3D medical imaging,.

CenSynCMB: Centre Maps and Physics-Guided Synthesis for Microbleed Detection VISTA3D: A unified segmentation foundation model for 3D medical imaging,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:24:01.435111Z

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.

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Observation 452b22b9-963d-4c15-a2ff-6e258746f02f · outbound

This paper cites A multi-stage framework for cerebral microbleeds detection and segmentation,.

CenSynCMB: Centre Maps and Physics-Guided Synthesis for Microbleed Detection A multi-stage framework for cerebral microbleeds detection and segmentation,

Reference 16

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Source-reported events for the cited work

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

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Observation 9a85ff64-abbe-4558-bcfa-02589faa2839 · outbound

This paper cites MixMicrobleedNet: segmentation of cerebral microbleeds using nnU-Net.

CenSynCMB: Centre Maps and Physics-Guided Synthesis for Microbleed Detection MixMicrobleedNet: segmentation of cerebral microbleeds using nnU-Net

Reference 17

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verified exact
local_arxiv, observed 2026-07-07T17:24:00.992471Z

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.

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Observation d9f74d1d-154b-4e9c-a1df-cdc281d6e545 · outbound

This paper cites Automated detection of cerebral microbleeds in MR images: A two- stage deep learning approach,.

CenSynCMB: Centre Maps and Physics-Guided Synthesis for Microbleed Detection Automated detection of cerebral microbleeds in MR images: A two- stage deep learning approach,

Reference 18

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verified fuzzy
raw_fallback, observed 2026-07-07T17:24:01.431389Z

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.

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Observation 61696dac-66ff-48ff-b080-9cef7b24929b · outbound

This paper cites Toward automated detection of microbleeds with anatomical scale localization using deep learning,.

CenSynCMB: Centre Maps and Physics-Guided Synthesis for Microbleed Detection Toward automated detection of microbleeds with anatomical scale localization using deep learning,

Reference 19

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verified fuzzy
raw_fallback, observed 2026-07-07T17:24:01.405529Z

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.

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Observation 996c6e9a-bb42-45ce-a2ae-761ddb3edcce · outbound

This paper cites Automated detection of cerebral microbleeds on MR images using knowledge distillation framework,.

CenSynCMB: Centre Maps and Physics-Guided Synthesis for Microbleed Detection Automated detection of cerebral microbleeds on MR images using knowledge distillation framework,

Reference 20

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raw_fallback, observed 2026-07-07T17:24:01.409866Z

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.

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Observation 25b5eb5f-199c-4f35-9802-a0621af8e2f3 · outbound

This paper cites SHIV A-CMB: a deep-learning-based robust cerebral microbleed segmentation tool trained on multi-source T2*GRE- and susceptibility-weighted MRI,.

CenSynCMB: Centre Maps and Physics-Guided Synthesis for Microbleed Detection SHIV A-CMB: a deep-learning-based robust cerebral microbleed segmentation tool trained on multi-source T2*GRE- and susceptibility-weighted MRI,

Reference 21

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raw_fallback, observed 2026-07-07T17:24:01.441447Z

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.

source=pdf_text observed=2026-07-07T17:15:56.040108Z digest=sha256:cd75ab693bc7a8facee862af4bf227b1b1cf54821d4a855ebeab02205b61221c

Observation be212939-bb62-4e3f-8016-6b36b20cd911 · outbound

This paper cites A robust deep learning framework for cerebral microbleeds recognition in GRE and SWI MRI,.

CenSynCMB: Centre Maps and Physics-Guided Synthesis for Microbleed Detection A robust deep learning framework for cerebral microbleeds recognition in GRE and SWI MRI,

Reference 22

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verified fuzzy
raw_fallback, observed 2026-07-07T17:24:01.412013Z

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.

source=pdf_text observed=2026-07-07T17:15:56.040108Z digest=sha256:41ce211b5de4cbbb3d87baf34de7ef4fd73940abb0dc1b7a1f3879cbded949a4

Observation af377a0a-1981-44b0-8f4b-2d9abaf49c43 · outbound

This paper cites Automated quantification of cerebral mi- crobleeds for ARIA-H monitoring in aging and Alzheimer’s dis- ease: a multicenter deep learning validation,.

CenSynCMB: Centre Maps and Physics-Guided Synthesis for Microbleed Detection Automated quantification of cerebral mi- crobleeds for ARIA-H monitoring in aging and Alzheimer’s dis- ease: a multicenter deep learning validation,

Reference 23

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verified exact
doi, observed 2026-07-07T17:24:00.422662Z

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.

source=pdf_text observed=2026-07-07T17:15:56.040108Z digest=sha256:41a9e41d47dadac48e3fb02ffbba6b9d92d26ac387170b39d5e3e5cd9e6bd64e

Observation e8e1c348-c053-444e-89aa-ffc50d5a791c · outbound

This paper cites Higher-Order Feature Attribution: Bridging Statistics, Explainable AI, and Topological Signal Processing.

CenSynCMB: Centre Maps and Physics-Guided Synthesis for Microbleed Detection Higher-Order Feature Attribution: Bridging Statistics, Explainable AI, and Topological Signal Processing

Reference 24

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metadata mismatch
arxiv_id, observed 2026-07-07T17:24:00.427805Z

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.

source=pdf_text observed=2026-07-07T17:15:56.040108Z digest=sha256:3b076acb95797981bcb21abc90275e3ecbcfe3b0d17c6c66b82bcd50d0366316

Observation 70514691-0fcb-45f1-9514-a8a95680807c · outbound

This paper cites A unified framework for joint detection of lacunes and enlarged perivascular spaces,.

CenSynCMB: Centre Maps and Physics-Guided Synthesis for Microbleed Detection A unified framework for joint detection of lacunes and enlarged perivascular spaces,

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-07-07T17:24:00.989892Z

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.

source=pdf_text observed=2026-07-07T17:15:56.040108Z digest=sha256:239502eb255dc7fae06b55ddc54bee660693ed2da7c61563660221ed0bd6bcda

Pith citing papers

No inbound Pith citation observations are available.