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Paper Citation Record · LEDGER

MVP-CBM:Multi-layer Visual Preference-enhanced Concept Bottleneck Model for Explainable Medical Image Classification

As of 7 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 2 inbound Pith citation observations for arXiv:2506.12568.

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

pith.paper-citation-record.v1
2506.12568 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:49:54.285653Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T07:27:56.163337Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T06:16:43.852392Z

Reference resolution

27 of 27 outbound references displayed

  • verified exact0
  • verified fuzzy18
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation de74784a-e6f2-4486-b468-920208656ae5 · outbound

This paper cites Deep learning approaches for data augmentation and classification of breast masses using ultrasound images.

MVP-CBM:Multi-layer Visual Preference-enhanced Concept Bottleneck Model for Explainable Medical Image Classification Deep learning approaches for data augmentation and classification of breast masses using ultrasound images

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-07T00:49:57.115584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T00:49:50.279766Z digest=sha256:f91feeb32aacd1c835ea0fbbf4cdb566a04f4510946a3938b6414a69e25b4ad9

Observation 8bdd742e-dfb9-418b-80a6-ab82a56696aa · outbound

This paper cites The chinese mammography database (cmmd): An online mammography database with biopsy confirmed types for machine diagnosis of breast.

MVP-CBM:Multi-layer Visual Preference-enhanced Concept Bottleneck Model for Explainable Medical Image Classification The chinese mammography database (cmmd): An online mammography database with biopsy confirmed types for machine diagnosis of breast

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:49:56.940252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T00:49:50.381020Z digest=sha256:5ea70b404ab2793c20e0c4bc438cfdef19a1e9fa8a92785a56daae8e153148d6

Observation a7ad13e6-6c85-4678-b591-da9f579568aa · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

MVP-CBM:Multi-layer Visual Preference-enhanced Concept Bottleneck Model for Explainable Medical Image Classification An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 3

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no resolver link, observed 2026-08-07T00:49:50.536137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:49:50.536137Z digest=sha256:e934440b769cb493b57d425039a6d44ce1d27453dc2d32fc37b52e8f54477543

Observation 6f57d04e-6abc-4cdf-8c14-f04d0823843d · outbound

This paper cites Aligning human knowledge with visual concepts towards explainable medical image classification.

MVP-CBM:Multi-layer Visual Preference-enhanced Concept Bottleneck Model for Explainable Medical Image Classification Aligning human knowledge with visual concepts towards explainable medical image classification

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:49:56.691494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T00:49:50.678713Z digest=sha256:b309b3b84eea3e2be3ab6f6f06f75106b6e4fd17f79e5ec81b69db0856a68aae

Observation 258c78ae-c714-4777-896d-406f52668b7a · outbound

This paper cites Deep residual learning for image recognition.

MVP-CBM:Multi-layer Visual Preference-enhanced Concept Bottleneck Model for Explainable Medical Image Classification Deep residual learning for image recognition

Reference 5

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unresolved
no resolver link, observed 2026-08-07T00:49:50.881520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:49:50.881520Z digest=sha256:3c0953d531764e0d97cbe7a4bbe12e4a380e8209bcb363ea0ef978bd4d714779

Observation 12e4c531-5085-4fe3-b35b-1d37450ffbfc · outbound

This paper cites Self-eXplainable AI for Medical Image Analysis: A Survey and New Outlooks.

MVP-CBM:Multi-layer Visual Preference-enhanced Concept Bottleneck Model for Explainable Medical Image Classification Self-eXplainable AI for Medical Image Analysis: A Survey and New Outlooks

Reference 6

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no resolver link, observed 2026-08-07T00:49:51.013715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:49:51.013715Z digest=sha256:f6b70014e6fefce39cde8d9ea7c95a079ecba2b8e00e94f36c091e29f8f93881

Observation 693bae93-d360-457e-b294-94ccb7c9e49f · outbound

This paper cites Mimic-cxr, a de-identified publicly available database of chest radiographs with free-text reports.

MVP-CBM:Multi-layer Visual Preference-enhanced Concept Bottleneck Model for Explainable Medical Image Classification Mimic-cxr, a de-identified publicly available database of chest radiographs with free-text reports

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:49:56.533498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T00:49:51.161061Z digest=sha256:e819d93d8f928c7c4134fe9f565271dcd1ffabe05911b71783e5b828bead9b45

Observation dc8ff501-a1a2-4626-ad0a-709a5b5f3485 · outbound

This paper cites 100,000 histological images of human colorectal cancer and healthy tissue.

MVP-CBM:Multi-layer Visual Preference-enhanced Concept Bottleneck Model for Explainable Medical Image Classification 100,000 histological images of human colorectal cancer and healthy tissue

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-07T00:49:56.367370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T00:49:51.308112Z digest=sha256:d67f38f7031c47c7a45f63366a18701e4b7139483215345bc7befeef5ce6533c

Observation 66dd914a-332e-4ddc-846a-6d2333ec6c66 · outbound

This paper cites Probabilistic Concept Bottleneck Models.

MVP-CBM:Multi-layer Visual Preference-enhanced Concept Bottleneck Model for Explainable Medical Image Classification Probabilistic Concept Bottleneck Models

Reference 9

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no resolver link, observed 2026-08-07T00:49:51.476388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:49:51.476388Z digest=sha256:57d770c4c24b16ddd660517c00a9c303c012f248418d9836a015545c6fcfe670

Observation 36533f0e-909c-4392-afca-558189c0d29f · outbound

This paper cites Concept bottleneck models.

MVP-CBM:Multi-layer Visual Preference-enhanced Concept Bottleneck Model for Explainable Medical Image Classification Concept bottleneck models

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:49:56.277332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T00:49:51.632491Z digest=sha256:069a47447b4c411a345feb150eb9c7ace54ed7e8078091f6fcc532640e738b1c

Observation b51b57d4-4390-436c-9fba-931f52dfa752 · outbound

This paper cites Label-free concept bottleneck models.

MVP-CBM:Multi-layer Visual Preference-enhanced Concept Bottleneck Model for Explainable Medical Image Classification Label-free concept bottleneck models

Reference 11

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raw_fallback, observed 2026-08-07T00:49:56.111829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T00:49:51.822782Z digest=sha256:342cc46a2a79c96424d9492877888898c316333a0afc2cfd15922f1492217c16

Observation f2c2366c-b183-4dce-bfc2-a1dd7aa8cf0c · outbound

This paper cites Indian diabetic retinopathy image dataset (idrid): a database for diabetic retinopathy screening research.

MVP-CBM:Multi-layer Visual Preference-enhanced Concept Bottleneck Model for Explainable Medical Image Classification Indian diabetic retinopathy image dataset (idrid): a database for diabetic retinopathy screening research

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:49:56.020113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T00:49:51.978667Z digest=sha256:a4e085c544cc852bed13069be1698d5bb231f39963a404f038dca0009f7a8b59

Observation c092e55c-e8b1-4b9b-b8ae-3186e36d41fb · outbound

This paper cites Learning transferable visual models from natural language supervision.

MVP-CBM:Multi-layer Visual Preference-enhanced Concept Bottleneck Model for Explainable Medical Image Classification Learning transferable visual models from natural language supervision

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:49:55.919868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T00:49:52.186071Z digest=sha256:1a2bf9ab2ef2877932b634efc7009b17dd95bf8c41cf508063d1493d305a73b8

Observation 666cb2ef-288a-47a3-a0a7-2cdfdb3c486d · outbound

This paper cites Incremental residual concept bottleneck models.

MVP-CBM:Multi-layer Visual Preference-enhanced Concept Bottleneck Model for Explainable Medical Image Classification Incremental residual concept bottleneck models

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:49:55.763823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T00:49:52.404199Z digest=sha256:a3cfb8e9112f97dd621c01c53134dfd7d15922be93dc32a2e1b527677bed0c72

Observation 47651677-c1f2-4038-945d-9573d7180a44 · outbound

This paper cites Conceptnet 5.5: An open multilingual graph of general knowledge.

MVP-CBM:Multi-layer Visual Preference-enhanced Concept Bottleneck Model for Explainable Medical Image Classification Conceptnet 5.5: An open multilingual graph of general knowledge

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:49:55.663988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T00:49:52.616336Z digest=sha256:413dbce2a65e7c066176a4d73a244a3604d3bcd843cbef03d010751503e65221

Observation 57429d6f-ec0d-42ee-be67-6cf25a050ff4 · outbound

This paper cites The ham10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions.

MVP-CBM:Multi-layer Visual Preference-enhanced Concept Bottleneck Model for Explainable Medical Image Classification The ham10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions

Reference 16

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verified fuzzy
raw_fallback, observed 2026-08-07T00:49:55.455497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T00:49:52.824778Z digest=sha256:8ac953ff6bdd4463d3bd587461ab6d657c7f76e3ea5705e5fc5640e9261a3728

Observation 3f68f20c-702a-4af0-b689-81a51843b648 · outbound

This paper cites Molecular classification of breast cancer.

MVP-CBM:Multi-layer Visual Preference-enhanced Concept Bottleneck Model for Explainable Medical Image Classification Molecular classification of breast cancer

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:49:55.285950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T00:49:52.958615Z digest=sha256:42a73bf6f89a666fe84ec750b12659c6ebb30b6b9691517f2402ab491bb170f2

Observation cc6b7c98-4ad3-4690-830e-72c4c48c5f28 · outbound

This paper cites MedCLIP: Contrastive Learning from Unpaired Medical Images and Text.

MVP-CBM:Multi-layer Visual Preference-enhanced Concept Bottleneck Model for Explainable Medical Image Classification MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 18

Resolution
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no resolver link, observed 2026-08-07T00:49:53.064874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:49:53.064874Z digest=sha256:a27d4c670767175c9a27960c8bc515063b63bcad2bf0b98b17f253648d7c574d

Observation df19df9f-b9a5-4e6c-b093-ff1ff1461d78 · outbound

This paper cites Language in a bottle: Language model guided concept bottlenecks for interpretable image classification.

MVP-CBM:Multi-layer Visual Preference-enhanced Concept Bottleneck Model for Explainable Medical Image Classification Language in a bottle: Language model guided concept bottlenecks for interpretable image classification

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:49:55.091101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T00:49:53.215316Z digest=sha256:1a41c268113b6ce646a568be47a1cbfeecdea4aef80717f351891e75e4405581

Observation 460a044d-4ddb-431a-87f7-c0383263c933 · outbound

This paper cites DeCo: Decoupling Token Compression from Semantic Abstraction in Multimodal Large Language Models.

MVP-CBM:Multi-layer Visual Preference-enhanced Concept Bottleneck Model for Explainable Medical Image Classification DeCo: Decoupling Token Compression from Semantic Abstraction in Multimodal Large Language Models

Reference 20

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unresolved
no resolver link, observed 2026-08-07T00:49:53.341803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:49:53.341803Z digest=sha256:dd29d1861349cb220d4294b932b75e1aa390b0a06348f31ce90a95cb596d0f22

Observation 64d8766f-dfda-40b4-9f38-50881d1a75fe · outbound

This paper cites Post-hoc Concept Bottleneck Models.

MVP-CBM:Multi-layer Visual Preference-enhanced Concept Bottleneck Model for Explainable Medical Image Classification Post-hoc Concept Bottleneck Models

Reference 21

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no resolver link, observed 2026-08-07T00:49:53.452664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:49:53.452664Z digest=sha256:b21fbadda13edfc3aa0c79fefd21893cf4aaee075c4fd875262d2e526e6586fd

Observation 657f961a-97b2-4f1c-80db-530f9c2827e7 · outbound

This paper cites Concept embedding models.

MVP-CBM:Multi-layer Visual Preference-enhanced Concept Bottleneck Model for Explainable Medical Image Classification Concept embedding models

Reference 22

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verified fuzzy
raw_fallback, observed 2026-08-07T00:49:54.985916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T00:49:53.601290Z digest=sha256:189afbfe9c61f5a9e1b9c7920a755e9cd466f64d64e924077374517a9c916d9b

Observation 21a85407-2569-45d9-9e24-ccd55427b10e · outbound

This paper cites Siim-acr pneumothorax segmentation.

MVP-CBM:Multi-layer Visual Preference-enhanced Concept Bottleneck Model for Explainable Medical Image Classification Siim-acr pneumothorax segmentation

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-07T00:49:54.849939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T00:49:53.720586Z digest=sha256:332dfd35f31479f6dc33f2d16243752ed0af275b0672a5874e8e6eafb0ab15e0

Observation 07e422f1-fc0c-4188-aaf3-46853a3a9b33 · outbound

This paper cites Negative-aware attention framework for image-text matching.

MVP-CBM:Multi-layer Visual Preference-enhanced Concept Bottleneck Model for Explainable Medical Image Classification Negative-aware attention framework for image-text matching

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:49:54.707040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T00:49:53.936421Z digest=sha256:5e173153babf44426712acd0ef85ed488684487c0bb243f9b116f7a34258aa3b

Observation 2bf79baf-450a-4abe-aec1-fd662a345944 · outbound

This paper cites Unified adaptive relevance distinguishable attention network for image-text matching.

MVP-CBM:Multi-layer Visual Preference-enhanced Concept Bottleneck Model for Explainable Medical Image Classification Unified adaptive relevance distinguishable attention network for image-text matching

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-07T00:49:54.546271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T00:49:54.106635Z digest=sha256:f93ff9c47c4e67b4d2dbb28b3ed25fab7d66224ea84bed4514a1ae76e0d2c3e0

Observation eb0736f1-e86e-4f6e-8865-9b46288822bc · outbound

This paper cites BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs.

MVP-CBM:Multi-layer Visual Preference-enhanced Concept Bottleneck Model for Explainable Medical Image Classification BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs

Reference 26

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no resolver link, observed 2026-08-07T00:49:54.183897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:49:54.183897Z digest=sha256:ae7c0011ebfbd688c44b090c05550b37d198958e61b05403f60bb98b8525a1c4

Observation 849f59d5-c338-449e-8bed-e6c9bcfe1cf5 · outbound

This paper cites write newline.

MVP-CBM:Multi-layer Visual Preference-enhanced Concept Bottleneck Model for Explainable Medical Image Classification write newline

Reference 27

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unresolved
no resolver link, observed 2026-08-07T00:49:54.285653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:49:54.285653Z digest=sha256:eee38a0e1083c77ccbb320630cfb3108d7ec5b174899badeb9570297beb28be0

Pith citing papers

Observation f90e1e97-121a-4b70-a84c-c47ccbc835b5 · inbound

Towards Fine-Grained and Verifiable Concept Bottleneck Models cites this paper.

Towards Fine-Grained and Verifiable Concept Bottleneck Models MVP-CBM:Multi-layer Visual Preference-enhanced Concept Bottleneck Model for Explainable Medical Image Classification

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:18:31.409133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T02:13:56.238388Z digest=sha256:29db1ce81c0aec07a818862c07107b2e14c86e52910f4fc351441ef38ca0702c

Observation 9ab63f9a-5f1e-4f1b-95cb-8c23fbed45f7 · inbound

Measuring What Matters: Synthetic Benchmarks for Concept Bottleneck Models cites this paper.

Measuring What Matters: Synthetic Benchmarks for Concept Bottleneck Models MVP-CBM:Multi-layer Visual Preference-enhanced Concept Bottleneck Model for Explainable Medical Image Classification

Reference 90

Resolution
verified exact
arxiv_id, observed 2026-07-02T06:16:43.853849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T07:27:56.163337Z digest=sha256:e2c97922af2144a81c8247dd6e4cbe60fc088dc28b8c925f41668cb9c976d7be