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Paper Citation Record · LEDGER

ECG-InterpBench: Benchmarking the Interpretability of ECG Foundation Models with Matched-Scale Sparse Autoencoders

As of 23 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2607.27404.

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

pith.paper-citation-record.v1
2607.27404 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T07:58:34.444159Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

42 of 42 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved35
  • parse uncertain0
  • malformed identifier6
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ef8cd01e-6526-4e78-992d-a0e1f61ccf1a · outbound

This paper cites Sanity Checks for Saliency Maps.

ECG-InterpBench: Benchmarking the Interpretability of ECG Foundation Models with Matched-Scale Sparse Autoencoders Sanity Checks for Saliency Maps

Reference 1

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Observation 60ecdaf0-0bdf-48cd-8b24-0909bda69d5b · outbound

This paper cites Attia, Suraj Kapa, Francisco Lopez-Jimenez, Paul M.

ECG-InterpBench: Benchmarking the Interpretability of ECG Foundation Models with Matched-Scale Sparse Autoencoders Attia, Suraj Kapa, Francisco Lopez-Jimenez, Paul M

Reference 2

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Observation d6dc615d-23df-4554-8970-f4f533e86c09 · outbound

This paper cites LEACE: Perfect linear concept erasure in closed form.

ECG-InterpBench: Benchmarking the Interpretability of ECG Foundation Models with Matched-Scale Sparse Autoencoders LEACE: Perfect linear concept erasure in closed form

Reference 3

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Observation d148ecec-42fe-4a18-8973-1b5db816d4cf · outbound

This paper cites an unresolved cited work.

ECG-InterpBench: Benchmarking the Interpretability of ECG Foundation Models with Matched-Scale Sparse Autoencoders Unresolved cited work

Reference 4

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Observation a8abb274-0c06-4caf-a9a8-3618ce377dfb · outbound

This paper cites an unresolved cited work.

ECG-InterpBench: Benchmarking the Interpretability of ECG Foundation Models with Matched-Scale Sparse Autoencoders Unresolved cited work

Reference 5

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Observation eba49413-a09c-4e1e-8e5d-666a80fa22d8 · outbound

This paper cites BatchTopK Sparse Autoencoders.

ECG-InterpBench: Benchmarking the Interpretability of ECG Foundation Models with Matched-Scale Sparse Autoencoders BatchTopK Sparse Autoencoders

Reference 6

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Observation 675177d7-019a-4167-ae01-5368fa0c0cf4 · outbound

This paper cites an unresolved cited work.

ECG-InterpBench: Benchmarking the Interpretability of ECG Foundation Models with Matched-Scale Sparse Autoencoders Unresolved cited work

Reference 7

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Observation 2c723375-b6f0-4f63-be17-fd0b6532c23a · outbound

This paper cites an unresolved cited work.

ECG-InterpBench: Benchmarking the Interpretability of ECG Foundation Models with Matched-Scale Sparse Autoencoders Unresolved cited work

Reference 8

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source=pdf_text observed=2026-08-01T07:58:31.539107Z digest=sha256:bae473c07b59dfbed04042cc76c8f6fa23bda4258beea35041ac2f2da4498ec0

Observation 6f8e481b-cf5d-4138-ace2-33c79f4c3c2f · outbound

This paper cites an unresolved cited work.

ECG-InterpBench: Benchmarking the Interpretability of ECG Foundation Models with Matched-Scale Sparse Autoencoders Unresolved cited work

Reference 9

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source=pdf_text observed=2026-08-01T07:58:31.735762Z digest=sha256:d680ed35b33fbfe611a9a399e14114e8866dc27c3ca3bf1442d81f2cf65b0b2c

Observation 4a750bf1-7f09-493b-856d-5eaddff7d23b · outbound

This paper cites an unresolved cited work.

ECG-InterpBench: Benchmarking the Interpretability of ECG Foundation Models with Matched-Scale Sparse Autoencoders Unresolved cited work

Reference 10

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Observation 2097e21d-01f2-46f6-8f9c-d5850bf75134 · outbound

This paper cites Nathanson, Alistair Johnson, Benjamin Moody, Catarina Fernandes, Nathaniel Greenbaum, Jonathan W.

ECG-InterpBench: Benchmarking the Interpretability of ECG Foundation Models with Matched-Scale Sparse Autoencoders Nathanson, Alistair Johnson, Benjamin Moody, Catarina Fernandes, Nathaniel Greenbaum, Jonathan W

Reference 11

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Observation cfd28bfd-290b-4aac-9aba-7b6720f2ee37 · outbound

This paper cites Gowda, Antonio H.

ECG-InterpBench: Benchmarking the Interpretability of ECG Foundation Models with Matched-Scale Sparse Autoencoders Gowda, Antonio H

Reference 12

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Observation ec5806d4-6998-4452-8110-a4bae9a12c63 · outbound

This paper cites Hannun, Pranav Rajpurkar, Masoumeh Haghpanahi, Geoffrey H.

ECG-InterpBench: Benchmarking the Interpretability of ECG Foundation Models with Matched-Scale Sparse Autoencoders Hannun, Pranav Rajpurkar, Masoumeh Haghpanahi, Geoffrey H

Reference 13

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Observation f9ff1b45-db38-49e7-b6a7-a653d2f5340c · outbound

This paper cites an unresolved cited work.

ECG-InterpBench: Benchmarking the Interpretability of ECG Foundation Models with Matched-Scale Sparse Autoencoders Unresolved cited work

Reference 14

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Observation 959c6a7f-12e1-46eb-8ee7-0a5a4c151dd9 · outbound

This paper cites SAEBench: A Comprehensive Benchmark for Sparse Autoencoders in Language Model Interpretability.

ECG-InterpBench: Benchmarking the Interpretability of ECG Foundation Models with Matched-Scale Sparse Autoencoders SAEBench: A Comprehensive Benchmark for Sparse Autoencoders in Language Model Interpretability

Reference 15

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Observation ceb0cfe0-8e83-4877-a51b-da6a35238261 · outbound

This paper cites an unresolved cited work.

ECG-InterpBench: Benchmarking the Interpretability of ECG Foundation Models with Matched-Scale Sparse Autoencoders Unresolved cited work

Reference 16

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no resolver link, observed 2026-08-01T07:58:32.430264Z

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Observation 3d0bc8a7-1614-48d6-afa2-42956d9e914a · outbound

This paper cites Learning General Representation of 12-Lead Electrocardiogram with a Joint-Embedding Predictive Architecture.

ECG-InterpBench: Benchmarking the Interpretability of ECG Foundation Models with Matched-Scale Sparse Autoencoders Learning General Representation of 12-Lead Electrocardiogram with a Joint-Embedding Predictive Architecture

Reference 17

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Observation a7480a8f-5c8f-4184-a989-4120719bc6fa · outbound

This paper cites an unresolved cited work.

ECG-InterpBench: Benchmarking the Interpretability of ECG Foundation Models with Matched-Scale Sparse Autoencoders Unresolved cited work

Reference 18

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Observation ef66246d-b8f0-42a0-a34b-9f762b47a2ed · outbound

This paper cites an unresolved cited work.

ECG-InterpBench: Benchmarking the Interpretability of ECG Foundation Models with Matched-Scale Sparse Autoencoders Unresolved cited work

Reference 19

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Observation d7f2bf69-0c8e-4694-a234-f40201e707a7 · outbound

This paper cites Mechanistic Interpretability of EEG Foundation Models via Sparse Autoencoders.

ECG-InterpBench: Benchmarking the Interpretability of ECG Foundation Models with Matched-Scale Sparse Autoencoders Mechanistic Interpretability of EEG Foundation Models via Sparse Autoencoders

Reference 20

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Observation c0141c49-d547-41ec-979c-4acd6a21dfb3 · outbound

This paper cites Brody, Vidhushei Yogeswaran, Kerri L.

ECG-InterpBench: Benchmarking the Interpretability of ECG Foundation Models with Matched-Scale Sparse Autoencoders Brody, Vidhushei Yogeswaran, Kerri L

Reference 21

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Observation 76abb478-61ae-4df8-9af1-f6119d633048 · outbound

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

ECG-InterpBench: Benchmarking the Interpretability of ECG Foundation Models with Matched-Scale Sparse Autoencoders Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2

Reference 22

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Observation 71010d37-c1f3-45ae-8575-6d01b1b947e0 · outbound

This paper cites an unresolved cited work.

ECG-InterpBench: Benchmarking the Interpretability of ECG Foundation Models with Matched-Scale Sparse Autoencoders Unresolved cited work

Reference 23

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Observation 2d105318-af90-4475-8c9a-e1097b65c764 · outbound

This paper cites an unresolved cited work.

ECG-InterpBench: Benchmarking the Interpretability of ECG Foundation Models with Matched-Scale Sparse Autoencoders Unresolved cited work

Reference 24

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Observation 0f9068f5-21f1-47b9-8911-cc05320682ef · outbound

This paper cites an unresolved cited work.

ECG-InterpBench: Benchmarking the Interpretability of ECG Foundation Models with Matched-Scale Sparse Autoencoders Unresolved cited work

Reference 25

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Observation 4f3188d0-a16a-4ea6-b349-73002f558df5 · outbound

This paper cites an unresolved cited work.

ECG-InterpBench: Benchmarking the Interpretability of ECG Foundation Models with Matched-Scale Sparse Autoencoders Unresolved cited work

Reference 26

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Observation d1105fe0-3b39-4dfb-9b9e-5ba7de2fb879 · outbound

This paper cites James Murdoch, Chandan Singh, Karl Kumbier, Reza Abbasi-Asl, and Bin Yu.

ECG-InterpBench: Benchmarking the Interpretability of ECG Foundation Models with Matched-Scale Sparse Autoencoders James Murdoch, Chandan Singh, Karl Kumbier, Reza Abbasi-Asl, and Bin Yu

Reference 27

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Observation a4234186-6a5d-4182-b0b2-17724f9c81da · outbound

This paper cites an unresolved cited work.

ECG-InterpBench: Benchmarking the Interpretability of ECG Foundation Models with Matched-Scale Sparse Autoencoders Unresolved cited work

Reference 28

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Observation df74f529-fcba-49b8-9ded-71bfdb79ff31 · outbound

This paper cites Olshausen and David J.

ECG-InterpBench: Benchmarking the Interpretability of ECG Foundation Models with Matched-Scale Sparse Autoencoders Olshausen and David J

Reference 29

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Observation 902d3185-fa0c-47b8-b3e2-f20c479bd384 · outbound

This paper cites Ribeiro, Manoel Horta Ribeiro, Gabriela M.

ECG-InterpBench: Benchmarking the Interpretability of ECG Foundation Models with Matched-Scale Sparse Autoencoders Ribeiro, Manoel Horta Ribeiro, Gabriela M

Reference 30

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Observation afb66dda-c838-436e-925d-ad21b04ac3b3 · outbound

This paper cites an unresolved cited work.

ECG-InterpBench: Benchmarking the Interpretability of ECG Foundation Models with Matched-Scale Sparse Autoencoders Unresolved cited work

Reference 31

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source=pdf_text observed=2026-08-01T07:58:33.886089Z digest=sha256:6b1a59ad497fcc454d4c893b778191e11f33a5b47111dde1c3d3abcf639c79df

Observation 1caadc7f-6a69-46c2-b3c3-9cc7c873cefd · outbound

This paper cites an unresolved cited work.

ECG-InterpBench: Benchmarking the Interpretability of ECG Foundation Models with Matched-Scale Sparse Autoencoders Unresolved cited work

Reference 32

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source=pdf_text observed=2026-08-01T07:58:33.947956Z digest=sha256:c032d5608ea746d922bab875b4e516bf14cde1ae6c048fc7cef6ef6a5ddfd2fb

Observation 31a92a9c-8bc6-4140-b67e-dfa5a8f230ec · outbound

This paper cites an unresolved cited work.

ECG-InterpBench: Benchmarking the Interpretability of ECG Foundation Models with Matched-Scale Sparse Autoencoders Unresolved cited work

Reference 33

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source=pdf_text observed=2026-08-01T07:58:34.026900Z digest=sha256:2d340f02c8a98ec866da21a51365b0e43ba53941bfecd28a814fd3ff8caf0c1a

Observation 1eee3227-a0be-4ef8-97bb-3d0f087aeb6d · outbound

This paper cites an unresolved cited work.

ECG-InterpBench: Benchmarking the Interpretability of ECG Foundation Models with Matched-Scale Sparse Autoencoders Unresolved cited work

Reference 34

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Observation 11fc461c-83aa-4fac-874d-4ec7b948c654 · outbound

This paper cites an unresolved cited work.

ECG-InterpBench: Benchmarking the Interpretability of ECG Foundation Models with Matched-Scale Sparse Autoencoders Unresolved cited work

Reference 35

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Observation f1eab2cc-2eea-4b17-b9cf-94a6d3cb4046 · outbound

This paper cites McCradden, and Anna Goldenberg.

ECG-InterpBench: Benchmarking the Interpretability of ECG Foundation Models with Matched-Scale Sparse Autoencoders McCradden, and Anna Goldenberg

Reference 36

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source=pdf_text observed=2026-08-01T07:58:34.173413Z digest=sha256:a57c6162c3ccb6aec76aeaa14e1bea1079d7b9246b97fa1abaec5679ad853fd0

Observation 9ad77f34-db6f-4638-86fc-a3095e40dc5d · outbound

This paper cites an unresolved cited work.

ECG-InterpBench: Benchmarking the Interpretability of ECG Foundation Models with Matched-Scale Sparse Autoencoders Unresolved cited work

Reference 37

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5630e1d9-ce45-482c-b50f-7b2cee7519dc · outbound

This paper cites Lunze, Wojciech Samek, and Tobias Schaeffter.

ECG-InterpBench: Benchmarking the Interpretability of ECG Foundation Models with Matched-Scale Sparse Autoencoders Lunze, Wojciech Samek, and Tobias Schaeffter

Reference 38

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Observation f71c347e-b7b9-4add-bcfa-193d0c1ce497 · outbound

This paper cites InProceedings of the 4th Machine Learning for Healthcare Conference (Proceedings of Machine Learning Research, Vol.

ECG-InterpBench: Benchmarking the Interpretability of ECG Foundation Models with Matched-Scale Sparse Autoencoders InProceedings of the 4th Machine Learning for Healthcare Conference (Proceedings of Machine Learning Research, Vol

Reference 40

Resolution
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Observation d5088f8b-7281-4934-b7bf-ad8d19db0a1c · outbound

This paper cites Proceedings of the National Academy of Sciences116, 44 (2019), 22071–22080.

ECG-InterpBench: Benchmarking the Interpretability of ECG Foundation Models with Matched-Scale Sparse Autoencoders Proceedings of the National Academy of Sciences116, 44 (2019), 22071–22080

Reference 2019

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Observation 833525f1-bf33-4b75-afd8-74e79b420e08 · outbound

This paper cites InInternational Conference on Learning Representations.

ECG-InterpBench: Benchmarking the Interpretability of ECG Foundation Models with Matched-Scale Sparse Autoencoders InInternational Conference on Learning Representations

Reference 2024

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Observation d6f4b193-cdfd-4d96-a6c0-59fdc5049dfd · outbound

This paper cites doi:10.64898/2026.03.

ECG-InterpBench: Benchmarking the Interpretability of ECG Foundation Models with Matched-Scale Sparse Autoencoders doi:10.64898/2026.03

Reference 2026

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Pith citing papers

No inbound Pith citation observations are available.