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Paper Citation Record · LEDGER

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

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2410.03334.

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

pith.paper-citation-record.v1
2410.03334 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 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 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:51:52.136318Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

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

CytoSAE: Interpretable Cell Embeddings for Hematology cites this paper.

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

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T16:51:52.136318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:51:52.136318Z digest=sha256:9a52bcd087b66c8a029da0cba165afebf42c718acce30bea50f08ee4986dbd3b

Observation 22d306a6-b15b-4c9b-b98b-9099500280c1 · inbound

Insights into a radiology-specialised multimodal large language model with sparse autoencoders cites this paper.

Insights into a radiology-specialised multimodal large language model with sparse autoencoders An X-Ray Is Worth 15 Features: Sparse Autoencoders for Interpretable Radiology Report Generation

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T16:40:40.618814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:40:40.618814Z digest=sha256:67ffb5b6264c1dafd8b00d570a559bf249a954c5b85faa70f9dd473c0834a029

Observation a4bf5804-82ca-44c2-99a7-63ec9c2d6562 · inbound

SAEmnesia: Erasing Concepts in Diffusion Models with Supervised Sparse Autoencoders cites this paper.

SAEmnesia: Erasing Concepts in Diffusion Models with Supervised Sparse Autoencoders An X-Ray Is Worth 15 Features: Sparse Autoencoders for Interpretable Radiology Report Generation

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-04T15:42:34.945674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:42:34.945674Z digest=sha256:0e146f5f1f61cc22ffa6bb11b4bf397273fd233790718058c1fd9c9e957bbcb3

Observation 62c1d9f1-419e-42d9-87a3-d9d9635ceb77 · inbound

Making Interpretable Discoveries from Unstructured Data: A High-Dimensional Multiple Hypothesis Testing Approach cites this paper.

Making Interpretable Discoveries from Unstructured Data: A High-Dimensional Multiple Hypothesis Testing Approach An X-Ray Is Worth 15 Features: Sparse Autoencoders for Interpretable Radiology Report Generation

Reference 43

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T02:00:40.027592Z

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=2026-05-18T01:56:50.978054Z digest=sha256:d67d1ed28497701460d69d02a83a72b596197de46b7520d9c6923878ccf31c5f

Observation 2e6a169d-0e4d-423c-966c-1fabb43442d0 · inbound

Making Interpretable Discoveries from Unstructured Data: A High-Dimensional Multiple Hypothesis Testing Approach cites this paper.

Making Interpretable Discoveries from Unstructured Data: A High-Dimensional Multiple Hypothesis Testing Approach An X-Ray Is Worth 15 Features: Sparse Autoencoders for Interpretable Radiology Report Generation

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-04T00:23:29.673783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T00:23:29.673783Z digest=sha256:80ec89834c45ec5b7076a7f6a5a6b2b16075df9a1ac1673d5d2b02d283935d48

Observation 5bdf5319-bf9b-4550-9f40-c343be8ec257 · inbound

GeoSAE: Geometric Prior-Guided Layer-Wise Sparse Autoencoder Annotation of Brain MRI Foundation Models cites this paper.

GeoSAE: Geometric Prior-Guided Layer-Wise Sparse Autoencoder Annotation of Brain MRI Foundation Models An X-Ray Is Worth 15 Features: Sparse Autoencoders for Interpretable Radiology Report Generation

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T11:06:05.020858Z

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=2026-05-10T15:09:29.672351Z digest=sha256:5da5b3268b761fb89b8ae4876ba25e1eb453b7a7e0a1e1ebd0d1258afdaa8538

Observation 17c2f570-4c1b-4f46-8f67-bd8b63a37458 · inbound

SoftSAE: Dynamic Top-K Selection for Adaptive Sparse Autoencoders cites this paper.

SoftSAE: Dynamic Top-K Selection for Adaptive Sparse Autoencoders An X-Ray Is Worth 15 Features: Sparse Autoencoders for Interpretable Radiology Report Generation

Reference 15

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T19:21:07.250779Z

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=2026-05-08T12:16:18.696425Z digest=sha256:989b5d329d4dc2530d5ef3fe1941d3c982337bbfa739b874e91d5d63b8adfd03

Observation 95f12ab5-9bab-4270-be93-82aed3cbcbbc · inbound

SoftSAE: Dynamic Top-K Selection for Adaptive Sparse Autoencoders cites this paper.

SoftSAE: Dynamic Top-K Selection for Adaptive Sparse Autoencoders An X-Ray Is Worth 15 Features: Sparse Autoencoders for Interpretable Radiology Report Generation

Reference 15

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T04:05:57.906277Z

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=2026-05-11T01:57:20.566117Z digest=sha256:0465bf53cb639205d6f487e615845f17de983e140d55011694cc97d397059097

Observation aa1c7a04-38b9-435a-b21b-285564e3fc43 · inbound

When Language Overwrites Vision: Over-Alignment and Geometric Debiasing in Vision-Language Models cites this paper.

When Language Overwrites Vision: Over-Alignment and Geometric Debiasing in Vision-Language Models An X-Ray Is Worth 15 Features: Sparse Autoencoders for Interpretable Radiology Report Generation

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-12T00:51:15.327341Z

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=2026-05-12T00:50:06.234399Z digest=sha256:10935c1bf5a4d48faafecdfe9e6edbc7cd889ffd6b7531b3101c2de60e7958a2

Observation e4bb0c6a-b4c2-4f89-b82f-c171bab9d975 · inbound

When Language Overwrites Vision: Over-Alignment and Geometric Debiasing in Vision-Language Models cites this paper.

When Language Overwrites Vision: Over-Alignment and Geometric Debiasing in Vision-Language Models An X-Ray Is Worth 15 Features: Sparse Autoencoders for Interpretable Radiology Report Generation

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-14T21:22:58.994144Z

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=2026-05-14T21:21:37.185232Z digest=sha256:f9fa79881a2cb29610a126518c897b197ebdf43520a2d062ba3462f1b7d01aff

Observation f3c6b30c-30b2-420a-9898-d9e834c9ce29 · inbound

When Language Overwrites Vision: Over-Alignment and Geometric Debiasing in Vision-Language Models cites this paper.

When Language Overwrites Vision: Over-Alignment and Geometric Debiasing in Vision-Language Models An X-Ray Is Worth 15 Features: Sparse Autoencoders for Interpretable Radiology Report Generation

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-19T17:07:41.657039Z

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=2026-05-19T17:06:03.483247Z digest=sha256:148d7bf2b26395a21ffae8bb17ebff121d3bc7ba4bbbc329f791e2a5f32d027b

Observation 542ec2fd-d757-4a3a-a7d0-61acaf865bef · inbound

When Language Overwrites Vision: Over-Alignment and Geometric Debiasing in Vision-Language Models cites this paper.

When Language Overwrites Vision: Over-Alignment and Geometric Debiasing in Vision-Language Models An X-Ray Is Worth 15 Features: Sparse Autoencoders for Interpretable Radiology Report Generation

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-06-30T23:45:08.074996Z

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=2026-06-30T23:41:36.199099Z digest=sha256:03883b429be784f01099c2ba81af68cfc6020c60374ec1a55e7b184932a7ec4f

Observation aded0ac1-0745-4a89-bb3e-29dfe4229338 · inbound

Correcting Influence: Unboxing LLM Outputs with Orthogonal Latent Spaces cites this paper.

Correcting Influence: Unboxing LLM Outputs with Orthogonal Latent Spaces An X-Ray Is Worth 15 Features: Sparse Autoencoders for Interpretable Radiology Report Generation

Reference 47

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T20:19:27.667157Z

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=2026-05-14T20:17:01.224864Z digest=sha256:80ead5a9d3d1ab18058a6f21dfb3c86e1ed7c4fd3f667cebd66d05a0a4e59e5a

Observation c2dd7693-2377-4a00-ac4f-d12222103029 · inbound

Sparse probes and murky physics: a case study of interpretability challenges in a foundation model for continuum dynamics cites this paper.

Sparse probes and murky physics: a case study of interpretability challenges in a foundation model for continuum dynamics An X-Ray Is Worth 15 Features: Sparse Autoencoders for Interpretable Radiology Report Generation

Reference 18

Resolution
metadata mismatch
arxiv_id, observed 2026-06-27T11:00:50.685819Z

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=2026-06-27T10:55:15.050341Z digest=sha256:504f884ee326b37bdd496c6f9a5fb8db5d0afad4ba096c2669375aeab6438330