Pith. sign in

Paper Citation Record · LEDGER

Universal Boosts, Specific Suppressors: Sparse Autoencoder Steering of Medical Vision-Language Models

As of 6 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2605.24977.

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

pith.paper-citation-record.v1
2605.24977 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T12:35:36.979407Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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

14 of 14 outbound references displayed

  • verified exact3
  • verified fuzzy9
  • unresolved0
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0c99b5ee-403f-4055-a639-c9a0799e3980 · outbound

This paper cites InProceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, pages 10241–10259, Suzhou, China.

Universal Boosts, Specific Suppressors: Sparse Autoencoder Steering of Medical Vision-Language Models InProceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, pages 10241–10259, Suzhou, China

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T05:05:59.771380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T12:35:36.979407Z digest=sha256:0d954b0f069071e2b041a424ff5135da5c2c706140cb6cedfda0dff21f928294

Observation 84207bda-76fb-4a17-a723-0423982d4c81 · outbound

This paper cites Technical Report MSR-TR- 2024-18, Microsoft.

Universal Boosts, Specific Suppressors: Sparse Autoencoder Steering of Medical Vision-Language Models Technical Report MSR-TR- 2024-18, Microsoft

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T05:05:59.755908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T12:35:36.979407Z digest=sha256:d5570eb492cc78ff3d87947401fe344c4a3ab630f713d86de50aa8d4bab78e6e

Observation e3c33fec-e539-4f6f-ae8c-ac51b2edfc11 · outbound

This paper cites Radiology-Aware Model-Based Evaluation Metric for Report Generation.

Universal Boosts, Specific Suppressors: Sparse Autoencoder Steering of Medical Vision-Language Models Radiology-Aware Model-Based Evaluation Metric for Report Generation

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-06-30T12:44:39.486268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T12:35:36.979407Z digest=sha256:6aea7bab87bd84f76261e575d55a28ee0a2c28019224e76794a752935baccc0f

Observation 28ceb351-c685-41c9-8031-a4879f6f27aa · outbound

This paper cites InInternational Conference on Learning Representations, volume 2024, pages 54158–54183.

Universal Boosts, Specific Suppressors: Sparse Autoencoder Steering of Medical Vision-Language Models InInternational Conference on Learning Representations, volume 2024, pages 54158–54183

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T05:05:59.756637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T12:35:36.979407Z digest=sha256:5f0050425a9f2700eee84de04c5f9931af7dc1805eda067d2d932eae64c8b441

Observation 12e554bb-2fb1-473b-9bc0-eb1c30e38a91 · outbound

This paper cites Available: [https://arxiv.org/abs/2502.03333](https://arxiv.org/abs/2502.03333).

Universal Boosts, Specific Suppressors: Sparse Autoencoder Steering of Medical Vision-Language Models Available: [https://arxiv.org/abs/2502.03333](https://arxiv.org/abs/2502.03333)

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-06-30T12:44:39.489192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T12:35:36.979407Z digest=sha256:fb56ec0298a32b29fbbd2e3ec586a3c9c3c7eef68f13c4bc7d92cadc10549bdb

Observation 03f22726-47c6-4739-84bd-4cef5cd47064 · outbound

This paper cites InICML 2025 Workshop on Reliable and Responsible Founda- tion Models.

Universal Boosts, Specific Suppressors: Sparse Autoencoder Steering of Medical Vision-Language Models InICML 2025 Workshop on Reliable and Responsible Founda- tion Models

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T05:05:59.758659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T12:35:36.979407Z digest=sha256:2fe59aed316373800e456a1a0edec36e9c4b1daf8c6284fe7bf244fbb34f5854

Observation cb763f02-59dd-4dcd-b158-1b3e98300c30 · outbound

This paper cites InFindings of the Asso- ciation for Computational Linguistics: EMNLP 2024, pages 374–390, Miami, Florida, USA.

Universal Boosts, Specific Suppressors: Sparse Autoencoder Steering of Medical Vision-Language Models InFindings of the Asso- ciation for Computational Linguistics: EMNLP 2024, pages 374–390, Miami, Florida, USA

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T05:05:59.760733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T12:35:36.979407Z digest=sha256:31842ad0b0e7ec4b5f4b14aeaf3e03661ca1d256e756db47a558bd2999e1ee9c

Observation 9763d2a8-a003-4ae6-8a8b-0d3480a64f11 · outbound

This paper cites In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 1500–1519, Online.

Universal Boosts, Specific Suppressors: Sparse Autoencoder Steering of Medical Vision-Language Models In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 1500–1519, Online

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T05:05:59.769341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T12:35:36.979407Z digest=sha256:50652b86470fbcb72b423493ed344cac834ade152f77ee39ee02d4f1aef64546

Observation ca8015fc-8461-4a4c-a20e-1e1afeb586fb · outbound

This paper cites InProceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 546–557, Suzhou, China.

Universal Boosts, Specific Suppressors: Sparse Autoencoder Steering of Medical Vision-Language Models InProceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 546–557, Suzhou, China

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T05:05:59.773280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T12:35:36.979407Z digest=sha256:521e88588f5759bd4c21ca7227ce804c176b21235bd03f676c3fd953baea3e6e

Observation 5f6b62d9-86e7-403a-acb8-018d08d600db · outbound

This paper cites arXiv preprint arXiv:2604.00493 , year =.

Universal Boosts, Specific Suppressors: Sparse Autoencoder Steering of Medical Vision-Language Models arXiv preprint arXiv:2604.00493 , year =

Reference 10

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T12:44:39.480466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T12:35:36.979407Z digest=sha256:d25eff53c79ce078e321209fb329a23111922716c7f08ab9890d208d5e4e3de7

Observation e272e317-0c3b-4688-9902-b6e4b66b00d7 · outbound

This paper cites Representation Engineering: A Top-Down Approach to AI Transparency.

Universal Boosts, Specific Suppressors: Sparse Autoencoder Steering of Medical Vision-Language Models Representation Engineering: A Top-Down Approach to AI Transparency

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-06-30T12:44:39.482917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T12:35:36.979407Z digest=sha256:e01199b40f6daf2e76fd4853d9806e64c37d3ad84c1d023ae3d929dc046a5e89

Observation 863c58a3-0eee-438f-afcc-26833e843aee · outbound

This paper cites top-activating contexts.

Universal Boosts, Specific Suppressors: Sparse Autoencoder Steering of Medical Vision-Language Models top-activating contexts

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T05:05:59.762809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T12:35:36.979407Z digest=sha256:2c77ae4bb48874020b712ed7e2008c413b70724ae246410a10da8efdda2a3e55

Observation 5472434e-65cb-42d5-a8ab-b39cc984f9d9 · outbound

This paper cites There is no evidence of pneumothorax. There is no evidence of pul- monary edema.

Universal Boosts, Specific Suppressors: Sparse Autoencoder Steering of Medical Vision-Language Models There is no evidence of pneumothorax. There is no evidence of pul- monary edema

Reference 13

Resolution
malformed identifier
raw_fallback, observed 2026-07-09T05:05:59.765170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T12:35:36.979407Z digest=sha256:f8c2194f24e76cdcc741517d94d09befa1fd7625000a857a566337a0a8bd2fef

Observation 3485ff6c-744b-41d7-bf44-372801089934 · outbound

This paper cites Good Reporting.

Universal Boosts, Specific Suppressors: Sparse Autoencoder Steering of Medical Vision-Language Models Good Reporting

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T05:05:59.767288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T12:35:36.979407Z digest=sha256:61a70bdec7965bd891ee06ed1c81c2433930634b27d0cad505679d091f552cc4

Pith citing papers

No inbound Pith citation observations are available.