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Paper Citation Record · LEDGER

CytoSAE: Interpretable Cell Embeddings for Hematology

As of 17 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2507.12464.

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

pith.paper-citation-record.v1
2507.12464 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:51:54.538825Z

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

29 of 29 outbound references displayed

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External citation measurements

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Outbound references

Observation 0ae40c50-b2b9-49f9-b66a-d9e34f6b7219 · outbound

This paper cites An X-Ray Is Worth 15 Features: Sparse Autoencoders for Interpretable Radiology Report Generation.

CytoSAE: Interpretable Cell Embeddings for Hematology An X-Ray Is Worth 15 Features: Sparse Autoencoders for Interpretable Radiology Report Generation

Reference 1

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Observation 742c8be5-1163-49cd-8f1a-77687eb14bb4 · outbound

This paper cites Quantifying Attention Flow in Transformers.

CytoSAE: Interpretable Cell Embeddings for Hematology Quantifying Attention Flow in Transformers

Reference 2

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Observation 34fdfc45-d5a0-4775-a0ea-33615819bcc4 · outbound

This paper cites Data in brief30, 105474 (2020).

CytoSAE: Interpretable Cell Embeddings for Hematology Data in brief30, 105474 (2020)

Reference 3

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Observation c4713bac-4669-4bd0-a692-443759d9741a · outbound

This paper cites Transformer Circuits Thread (2023), https://transformer-circuits.pub/2023/monosemantic- features/index.html.

CytoSAE: Interpretable Cell Embeddings for Hematology Transformer Circuits Thread (2023), https://transformer-circuits.pub/2023/monosemantic- features/index.html

Reference 4

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Observation fcdb8217-80bd-4c06-a802-7c77ec29b94c · outbound

This paper cites NPJ digital medicine5(1), 156 (2022).

CytoSAE: Interpretable Cell Embeddings for Hematology NPJ digital medicine5(1), 156 (2022)

Reference 5

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Observation bf43a176-3c16-4c7b-b02f-cbf4a9c9cbcf · outbound

This paper cites Nature Medicine30(3), 850–862 (2024).

CytoSAE: Interpretable Cell Embeddings for Hematology Nature Medicine30(3), 850–862 (2024)

Reference 6

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Observation 0948aa01-7971-4734-9463-b8d9d28ee367 · outbound

This paper cites SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders.

CytoSAE: Interpretable Cell Embeddings for Hematology SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders

Reference 7

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Observation ad474f41-cb6a-4349-ac66-402c1c9700d7 · outbound

This paper cites Transformer Circuits Thread (2021), https://transformer-circuits.pub/2021/framework/index.html.

CytoSAE: Interpretable Cell Embeddings for Hematology Transformer Circuits Thread (2021), https://transformer-circuits.pub/2021/framework/index.html

Reference 8

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CytoSAE: Interpretable Cell Embeddings for Hematology Unresolved cited work

Reference 9

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CytoSAE: Interpretable Cell Embeddings for Hematology Unresolved cited work

Reference 10

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Observation a455d3bb-4fe4-490d-98e4-3432fc062fc7 · outbound

This paper cites Scaling and evaluating sparse autoencoders.

CytoSAE: Interpretable Cell Embeddings for Hematology Scaling and evaluating sparse autoencoders

Reference 11

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Observation ffd7fb34-32f8-419d-b967-47c0705135db · outbound

This paper cites PLOS Digital Health2(3), e0000187 (2023).

CytoSAE: Interpretable Cell Embeddings for Hematology PLOS Digital Health2(3), e0000187 (2023)

Reference 12

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Observation 9ff0d8f3-b253-4de7-a295-88a73b9df58f · outbound

This paper cites In: The Twelfth In- ternational Conference on Learning Representations (2023).

CytoSAE: Interpretable Cell Embeddings for Hematology In: The Twelfth In- ternational Conference on Learning Representations (2023)

Reference 13

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Observation 1534b83d-1d0a-46c0-8b25-b895f11f70e7 · outbound

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

CytoSAE: Interpretable Cell Embeddings for Hematology In: International Conference on Medical Image Computing and Computer-Assisted Intervention

Reference 14

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Observation 380acfeb-8cfd-4fd0-bd10-e39c64da0acb · outbound

This paper cites In: Advancements In Medical Foundation Models: Explain- ability, Robustness, Security, and Beyond (2024).

CytoSAE: Interpretable Cell Embeddings for Hematology In: Advancements In Medical Foundation Models: Explain- ability, Robustness, Security, and Beyond (2024)

Reference 15

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Observation cf8dedc7-26c3-46b1-97a6-22baaf200c9c · outbound

This paper cites Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2.

CytoSAE: Interpretable Cell Embeddings for Hematology Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2

Reference 16

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Observation ef8a2197-cd36-465e-8b9a-e31c28926ad1 · outbound

This paper cites Sparse autoencoders reveal selective remapping of visual concepts during adaptation.

CytoSAE: Interpretable Cell Embeddings for Hematology Sparse autoencoders reveal selective remapping of visual concepts during adaptation

Reference 17

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Observation 36bf8f6c-19b6-4866-be0a-88ea48d89301 · outbound

This paper cites k-Sparse Autoencoders.

CytoSAE: Interpretable Cell Embeddings for Hematology k-Sparse Autoencoders

Reference 18

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Observation f12c9198-0d42-4735-83f7-400048c686ce · outbound

This paper cites Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models.

CytoSAE: Interpretable Cell Embeddings for Hematology Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models

Reference 19

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This paper cites https://doi.org/10.7937/TCIA.AXH3-T579, data set.

CytoSAE: Interpretable Cell Embeddings for Hematology https://doi.org/10.7937/TCIA.AXH3-T579, data set

Reference 20

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This paper cites https: //doi.org/10.7937/tcia.2019.36f5o9ld, data set.

CytoSAE: Interpretable Cell Embeddings for Hematology https: //doi.org/10.7937/tcia.2019.36f5o9ld, data set

Reference 21

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Observation 5300136f-b3bb-48bf-ab3b-9d067d76db26 · outbound

This paper cites Na- ture616(7956), 259–265 (2023) CytoSAE: Interpretable Cell Embeddings for Hematology 11.

CytoSAE: Interpretable Cell Embeddings for Hematology Na- ture616(7956), 259–265 (2023) CytoSAE: Interpretable Cell Embeddings for Hematology 11

Reference 22

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Observation dba9ae2e-7c51-48ae-afad-4c8a1f20f06e · outbound

This paper cites Improving Dictionary Learning with Gated Sparse Autoencoders.

CytoSAE: Interpretable Cell Embeddings for Hematology Improving Dictionary Learning with Gated Sparse Autoencoders

Reference 23

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Observation 414bdef2-d59a-4fa1-b464-57ccf9deb578 · outbound

This paper cites Open Problems in Mechanistic Interpretability.

CytoSAE: Interpretable Cell Embeddings for Hematology Open Problems in Mechanistic Interpretability

Reference 24

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CytoSAE: Interpretable Cell Embeddings for Hematology medRxiv pp

Reference 25

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Observation bf4b6a22-7f1a-4585-939a-a7230006eb1f · outbound

This paper cites arXiv preprint arXiv:2502.06755 (2025).

CytoSAE: Interpretable Cell Embeddings for Hematology arXiv preprint arXiv:2502.06755 (2025)

Reference 26

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Observation f5aabcc9-ac92-4ae2-b847-a9c4ad9f6b93 · outbound

This paper cites Anthropic (2024).

CytoSAE: Interpretable Cell Embeddings for Hematology Anthropic (2024)

Reference 27

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Observation ad5fa899-82a6-4455-a9e2-8df39d825b7c · outbound

This paper cites Cancer Cell41(9), 1650–1661 (2023).

CytoSAE: Interpretable Cell Embeddings for Hematology Cancer Cell41(9), 1650–1661 (2023)

Reference 28

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Observation 8322d2ca-efc7-4c8b-b98c-4c1ab3454cfa · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

CytoSAE: Interpretable Cell Embeddings for Hematology In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 29

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Pith citing papers

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