Paper Citation Record · LEDGER

Statistically Grounded Sparse-Feature Interventions for Activation-Space Control in Large Language Models

As of 9 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2607.19364.

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

pith.paper-citation-record.v1
2607.19364 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T12:14:24.446760Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

43 of 43 outbound references displayed

verified exact0
verified fuzzy0
unresolved42
parse uncertain1
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 15182ca5-23b2-4f7b-82d3-d82937361f24 · outbound

This paper cites Steering.

Statistically Grounded Sparse-Feature Interventions for Activation-Space Control in Large Language Models Steering

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T12:14:19.864970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6fa75ba0-a1b2-4f85-8fbe-94ca28e2b801 · outbound

This paper cites Steering Language Models With Activation Engineering.

Statistically Grounded Sparse-Feature Interventions for Activation-Space Control in Large Language Models Steering Language Models With Activation Engineering

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T12:14:19.992396Z

Source-reported events for the cited work

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Observation 0974d567-9609-41da-bd64-7444ef0aebaa · outbound

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

Statistically Grounded Sparse-Feature Interventions for Activation-Space Control in Large Language Models Representation Engineering: A Top-Down Approach to

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T12:14:20.155958Z

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Observation 6b281c3c-e5b4-4b40-9f28-4af75bf808f3 · outbound

This paper cites Refusal in Language Models Is Mediated by a Single Direction.

Statistically Grounded Sparse-Feature Interventions for Activation-Space Control in Large Language Models Refusal in Language Models Is Mediated by a Single Direction

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T12:14:20.236630Z

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Observation 16fd195e-e8f7-4d6b-b70d-a90d254b73f0 · outbound

This paper cites Transformer Circuits Thread , year =.

Statistically Grounded Sparse-Feature Interventions for Activation-Space Control in Large Language Models Transformer Circuits Thread , year =

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T12:14:20.387516Z

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Observation 6accbf9d-4ea4-4973-b48c-6e49216c7753 · outbound

This paper cites Transformer Circuits Thread , year =.

Statistically Grounded Sparse-Feature Interventions for Activation-Space Control in Large Language Models Transformer Circuits Thread , year =

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T12:14:20.511096Z

Source-reported events for the cited work

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Observation f10210d7-9d47-42bb-a375-492b6f050f97 · outbound

This paper cites Scaling Monosemanticity: Extracting Interpretable Features from.

Statistically Grounded Sparse-Feature Interventions for Activation-Space Control in Large Language Models Scaling Monosemanticity: Extracting Interpretable Features from

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T12:14:20.655056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0ebb4d0-3a09-4f25-9a14-de85f5dfeffa · outbound

This paper cites Proceedings of the International Conference on Learning Representations (ICLR) , year =.

Statistically Grounded Sparse-Feature Interventions for Activation-Space Control in Large Language Models Proceedings of the International Conference on Learning Representations (ICLR) , year =

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T12:14:20.786934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 266b7f8e-0d09-4056-b598-8e60d15df008 · outbound

This paper cites Proceedings of the International Conference on Learning Representations (ICLR) , year =.

Statistically Grounded Sparse-Feature Interventions for Activation-Space Control in Large Language Models Proceedings of the International Conference on Learning Representations (ICLR) , year =

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T12:14:20.921023Z

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Observation 7e5ea7f8-9dd2-4201-9731-1a45f81ba0e3 · outbound

This paper cites Jumping Ahead: Improving Reconstruction Fidelity with JumpReLU Sparse Autoencoders.

Statistically Grounded Sparse-Feature Interventions for Activation-Space Control in Large Language Models Jumping Ahead: Improving Reconstruction Fidelity with JumpReLU Sparse Autoencoders

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T12:14:21.082141Z

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Unavailable: canonical work link unavailable.

Observation 3afb1d55-7274-4e81-94bc-bf46262e7fcd · outbound

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

Statistically Grounded Sparse-Feature Interventions for Activation-Space Control in Large Language Models Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T12:14:21.174797Z

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Observation b58e2968-e1b5-4b27-9824-8087051d69f5 · outbound

This paper cites 2025 , howpublished =.

Statistically Grounded Sparse-Feature Interventions for Activation-Space Control in Large Language Models 2025 , howpublished =

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T12:14:21.308176Z

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Observation a75cb2c0-29c1-4d41-8117-e581fb168782 · outbound

This paper cites 2025 , pages =.

Statistically Grounded Sparse-Feature Interventions for Activation-Space Control in Large Language Models 2025 , pages =

Reference 13

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Observation 6040b962-5201-4aaa-ab86-0cde56bb5f9b · outbound

This paper cites Enhancing.

Statistically Grounded Sparse-Feature Interventions for Activation-Space Control in Large Language Models Enhancing

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T12:14:21.571371Z

Source-reported events for the cited work

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Observation c3448cfe-826c-4350-808b-586e658cea6b · outbound

This paper cites Controllable.

Statistically Grounded Sparse-Feature Interventions for Activation-Space Control in Large Language Models Controllable

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T12:14:21.705850Z

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Observation e109703e-fc9d-4f8a-ac41-132bda4543cd · outbound

This paper cites Physical Review E , volume =.

Statistically Grounded Sparse-Feature Interventions for Activation-Space Control in Large Language Models Physical Review E , volume =

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T12:14:21.822234Z

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Observation 29bf5d60-4683-4a7f-b8cc-795c810ea2df · outbound

This paper cites 1988 , edition =.

Statistically Grounded Sparse-Feature Interventions for Activation-Space Control in Large Language Models 1988 , edition =

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T12:14:21.964549Z

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Observation ee64df51-8ca7-49b1-8b87-8b06d0a931ad · outbound

This paper cites Journal of the Royal Statistical Society: Series B (Methodological) , volume =.

Statistically Grounded Sparse-Feature Interventions for Activation-Space Control in Large Language Models Journal of the Royal Statistical Society: Series B (Methodological) , volume =

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T12:14:22.048287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa3ad426-cef9-4869-8615-7f25c5b97661 · outbound

This paper cites Proceedings of the International Conference on Learning Representations (ICLR) , year =.

Statistically Grounded Sparse-Feature Interventions for Activation-Space Control in Large Language Models Proceedings of the International Conference on Learning Representations (ICLR) , year =

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T12:14:22.128316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7dc648c-4d5c-491e-8450-421747a268fc · outbound

This paper cites an unresolved cited work.

Statistically Grounded Sparse-Feature Interventions for Activation-Space Control in Large Language Models Unresolved cited work

Reference 20

Resolution: parse uncertain; no resolver link, observed 2026-08-02T12:14:22.210856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b4a7a5c-2135-4358-977b-d46e30f93189 · outbound

This paper cites OpenAI , year =.

Statistically Grounded Sparse-Feature Interventions for Activation-Space Control in Large Language Models OpenAI , year =

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-02T12:14:22.292858Z

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Observation 2d307d59-1cf3-4264-ab3d-6cb28d0408a0 · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

Statistically Grounded Sparse-Feature Interventions for Activation-Space Control in Large Language Models Gemma 2: Improving Open Language Models at a Practical Size

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-02T12:14:22.375777Z

Source-reported events for the cited work

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Observation ebf6a6ae-b287-4100-aee4-8ff82457fa54 · outbound

This paper cites Gemma 3 Technical Report.

Statistically Grounded Sparse-Feature Interventions for Activation-Space Control in Large Language Models Gemma 3 Technical Report

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-02T12:14:22.458946Z

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Observation e6ed6efa-fd40-47f7-9eb6-a9242dcde22b · outbound

This paper cites Improving Steering Vectors by Targeting Sparse Autoencoder Features.

Statistically Grounded Sparse-Feature Interventions for Activation-Space Control in Large Language Models Improving Steering Vectors by Targeting Sparse Autoencoder Features

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-02T12:14:22.541696Z

Source-reported events for the cited work

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Observation 6dcb7ec1-0357-4a43-8209-0ec9264f0332 · outbound

This paper cites Are Sparse Autoencoders Useful?.

Statistically Grounded Sparse-Feature Interventions for Activation-Space Control in Large Language Models Are Sparse Autoencoders Useful?

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-02T12:14:22.621349Z

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Unavailable: canonical work link unavailable.

Observation 0b2d0ad9-64b3-4be8-9efb-edf3ce152a76 · outbound

This paper cites Advances in Neural Information Processing Systems (NeurIPS) , year =.

Statistically Grounded Sparse-Feature Interventions for Activation-Space Control in Large Language Models Advances in Neural Information Processing Systems (NeurIPS) , year =

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-02T12:14:22.700590Z

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Observation 82a4c9fe-0bcb-4577-913f-fa28f9a9f872 · outbound

This paper cites The Twelfth International Conference on Learning Representations , year =.

Statistically Grounded Sparse-Feature Interventions for Activation-Space Control in Large Language Models The Twelfth International Conference on Learning Representations , year =

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-02T12:14:22.784667Z

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Observation 2da8cbba-e8c1-439f-8ffa-c434ee99ca7d · outbound

This paper cites Aligning.

Statistically Grounded Sparse-Feature Interventions for Activation-Space Control in Large Language Models Aligning

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-02T12:14:22.866927Z

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Observation a36018af-6799-41e6-b7b7-8f345fb4f9cb · outbound

This paper cites Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics , year =.

Statistically Grounded Sparse-Feature Interventions for Activation-Space Control in Large Language Models Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics , year =

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-02T12:14:22.984335Z

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Observation 43119aa4-0539-4196-85a2-eb9b810eb077 · outbound

This paper cites 2022 , url =.

Statistically Grounded Sparse-Feature Interventions for Activation-Space Control in Large Language Models 2022 , url =

Reference 30

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Observation 3d72ae91-9eb6-4282-95d2-bc056b0b658b · outbound

This paper cites Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics , year =.

Statistically Grounded Sparse-Feature Interventions for Activation-Space Control in Large Language Models Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics , year =

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a30d45e6-8831-4805-99c5-9dd27e531cdf · outbound

This paper cites Advances in Neural Information Processing Systems (NeurIPS) , year =.

Statistically Grounded Sparse-Feature Interventions for Activation-Space Control in Large Language Models Advances in Neural Information Processing Systems (NeurIPS) , year =

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-02T12:14:23.298444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 483ee6e5-6b8a-48e8-846f-03a1e06feca6 · outbound

This paper cites Analyzing the Generalization and Reliability of Steering Vectors.

Statistically Grounded Sparse-Feature Interventions for Activation-Space Control in Large Language Models Analyzing the Generalization and Reliability of Steering Vectors

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-02T12:14:23.357363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8675a0bb-2478-488f-99a4-f67be5a1fa3d · outbound

This paper cites Open Problems in Mechanistic Interpretability.

Statistically Grounded Sparse-Feature Interventions for Activation-Space Control in Large Language Models Open Problems in Mechanistic Interpretability

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-02T12:14:23.380605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b3a175f-ba4e-4b38-ae9e-fe6c940a92f0 · outbound

This paper cites LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models.

Statistically Grounded Sparse-Feature Interventions for Activation-Space Control in Large Language Models LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-02T12:14:23.445389Z

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Observation b0adfa73-84e8-4dc7-bc0e-7cb71b4b09c5 · outbound

This paper cites Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP '24) , year =.

Statistically Grounded Sparse-Feature Interventions for Activation-Space Control in Large Language Models Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP '24) , year =

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-02T12:14:23.573484Z

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Observation 64cab25c-598e-4005-8635-7c1863a873b2 · outbound

This paper cites Steering Llama 2 via Contrastive Activation Addition.

Statistically Grounded Sparse-Feature Interventions for Activation-Space Control in Large Language Models Steering Llama 2 via Contrastive Activation Addition

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-02T12:14:23.692985Z

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Observation 18c9bebb-d649-444d-b9e2-18013fac474c · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Statistically Grounded Sparse-Feature Interventions for Activation-Space Control in Large Language Models Advances in Neural Information Processing Systems , volume=

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-02T12:14:23.810797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64765344-6614-483e-a00e-b1ab61e8109f · outbound

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

Statistically Grounded Sparse-Feature Interventions for Activation-Space Control in Large Language Models Representation Engineering: A Top-Down Approach to AI Transparency

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-02T12:14:23.966994Z

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Observation 4081ecb0-9d9b-46e6-a17d-7109f1caa528 · outbound

This paper cites arXiv preprint arXiv:2502.02716 , year=.

Statistically Grounded Sparse-Feature Interventions for Activation-Space Control in Large Language Models arXiv preprint arXiv:2502.02716 , year=

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-02T12:14:24.065960Z

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Unavailable: canonical work link unavailable.

Observation 14f91b66-05e3-4fb9-9ae9-c6a1569db8e1 · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

Statistically Grounded Sparse-Feature Interventions for Activation-Space Control in Large Language Models Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-02T12:14:24.226481Z

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Unavailable: canonical work link unavailable.

Observation bf1277df-9268-4535-af31-3014a5ce0122 · outbound

This paper cites 2026 , month = mar, howpublished =.

Statistically Grounded Sparse-Feature Interventions for Activation-Space Control in Large Language Models 2026 , month = mar, howpublished =

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-02T12:14:24.351786Z

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Observation 0bcf11f5-5547-4fca-8f12-e20b19d03d7c · outbound

This paper cites an unresolved cited work.

Statistically Grounded Sparse-Feature Interventions for Activation-Space Control in Large Language Models Unresolved cited work

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-02T12:14:24.446760Z

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Pith citing papers

No inbound Pith citation observations are available.