Paper Citation Record · LEDGER

Improving Instruction-Following in Language Models through Activation Steering

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 26 inbound Pith citation observations for arXiv:2410.12877.

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

pith.paper-citation-record.v1
2410.12877 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 26 of 26 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:35:04.716640Z

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

0
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 3872075f-5a89-46f6-852f-690e582e2db1 · inbound

Neuron-Level Differentiation of Memorization and Generalization in Large Language Models cites this paper.

Neuron-Level Differentiation of Memorization and Generalization in Large Language Models Improving Instruction-Following in Language Models through Activation Steering

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T04:46:40.244823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8b930af-b4af-48f4-bf5b-2b95e844c3dd · inbound

EasyEdit2: An Easy-to-use Steering Framework for Editing Large Language Models cites this paper.

EasyEdit2: An Easy-to-use Steering Framework for Editing Large Language Models Improving Instruction-Following in Language Models through Activation Steering

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-16T11:35:04.716640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07e0aa73-af02-4598-9da3-79196be7edc4 · inbound

Denoising Concept Vectors with Sparse Autoencoders for Improved Language Model Steering cites this paper.

Denoising Concept Vectors with Sparse Autoencoders for Improved Language Model Steering Improving Instruction-Following in Language Models through Activation Steering

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T15:30:22.087008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9657af22-7b98-451f-a8a8-63c6060afb66 · inbound

Aligned but Blind: Alignment Increases Implicit Bias by Reducing Awareness of Race cites this paper.

Aligned but Blind: Alignment Increases Implicit Bias by Reducing Awareness of Race Improving Instruction-Following in Language Models through Activation Steering

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T12:13:18.854878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf416959-719e-4dd2-8b26-d21fcb152e1c · inbound

Linear Representation Transferability Hypothesis: Leveraging Small Models to Steer Large Models cites this paper.

Linear Representation Transferability Hypothesis: Leveraging Small Models to Steer Large Models Improving Instruction-Following in Language Models through Activation Steering

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T12:07:11.509790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa6bf522-9e03-40ef-8b2c-38ad555cd8be · inbound

ReGA: Model-Based Safeguard for LLMs via Representation-Guided Abstraction cites this paper.

ReGA: Model-Based Safeguard for LLMs via Representation-Guided Abstraction Improving Instruction-Following in Language Models through Activation Steering

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-05-19T11:37:16.023136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cc912a31-d527-444d-a33a-4900a9f5c33d · inbound

Generalizing Verifiable Instruction Following cites this paper.

Generalizing Verifiable Instruction Following Improving Instruction-Following in Language Models through Activation Steering

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-19T05:42:05.983512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2202ae55-dff3-46f3-9a2b-c5432d3296d1 · inbound

MemOS: A Memory OS for AI System cites this paper.

MemOS: A Memory OS for AI System Improving Instruction-Following in Language Models through Activation Steering

Reference 87

Resolution: verified exact; arxiv_id, observed 2026-05-15T08:20:22.871784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 175e4081-b561-4f54-85bf-6f7a8e9edee5 · inbound

Activation Steering for Chain-of-Thought Compression cites this paper.

Activation Steering for Chain-of-Thought Compression Improving Instruction-Following in Language Models through Activation Steering

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T19:46:47.915387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1762ac91-c22c-42a5-908a-41f022ac7149 · inbound

RACC: Representation-Aware Coverage Criteria for LLM Safety Testing cites this paper.

RACC: Representation-Aware Coverage Criteria for LLM Safety Testing Improving Instruction-Following in Language Models through Activation Steering

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-16T08:17:36.559112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5dfb1e7c-45b7-49f4-88b0-b96f06523101 · inbound

Causal Evidence that Language Models use Confidence to Drive Behavior cites this paper.

Causal Evidence that Language Models use Confidence to Drive Behavior Improving Instruction-Following in Language Models through Activation Steering

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-21T09:44:05.683170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b6cf15a7-8050-466e-b16a-50825f8e06b2 · inbound

How LLMs Detect and Correct Their Own Errors: The Role of Internal Confidence Signals cites this paper.

How LLMs Detect and Correct Their Own Errors: The Role of Internal Confidence Signals Improving Instruction-Following in Language Models through Activation Steering

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:16:06.848179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f2bf62d4-590a-48aa-b633-134e5ad69827 · inbound

Do Large Language Models Plan Answer Positions? Position Bias in Multiple-Choice Question Generation cites this paper.

Do Large Language Models Plan Answer Positions? Position Bias in Multiple-Choice Question Generation Improving Instruction-Following in Language Models through Activation Steering

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-09T21:33:29.574341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 27192e1e-ee96-4cb2-8943-175cea1a119a · inbound

Same Targets, Different Computation: How Post-Training Divides Work Across Model Layers cites this paper.

Same Targets, Different Computation: How Post-Training Divides Work Across Model Layers Improving Instruction-Following in Language Models through Activation Steering

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-11T01:45:50.958122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2a903236-bf0b-4fb6-808c-6ad9d90dc846 · inbound

Prompt-Activation Duality: Improving Activation Steering via Attention-Level Interventions cites this paper.

Prompt-Activation Duality: Improving Activation Steering via Attention-Level Interventions Improving Instruction-Following in Language Models through Activation Steering

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:16:26.123270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ae4b6eed-44cb-492a-ab68-8a8df883e2cb · inbound

Prompt-Activation Duality: Improving Activation Steering via Attention-Level Interventions cites this paper.

Prompt-Activation Duality: Improving Activation Steering via Attention-Level Interventions Improving Instruction-Following in Language Models through Activation Steering

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-15T05:29:47.028773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f962c4f0-e7c3-437b-8cbd-f18a8821220f · inbound

Enabling Performant and Flexible Model-Internal Observability for LLM Inference cites this paper.

Enabling Performant and Flexible Model-Internal Observability for LLM Inference Improving Instruction-Following in Language Models through Activation Steering

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-13T07:17:28.062769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 377bc28f-299d-46f5-9541-44f586f03e8f · inbound

Residual Paving: Diagnosing the Routing Bottleneck in Selective Refusal Editing cites this paper.

Residual Paving: Diagnosing the Routing Bottleneck in Selective Refusal Editing Improving Instruction-Following in Language Models through Activation Steering

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-21T07:44:48.830883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1bc7ceb6-110d-4db8-a725-6c0e0733e617 · inbound

Steered Generation via Gradient-Based Optimization on Sparse Query Features cites this paper.

Steered Generation via Gradient-Based Optimization on Sparse Query Features Improving Instruction-Following in Language Models through Activation Steering

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:36:40.342556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 047e3d30-9899-440a-8761-caa2b13bef61 · inbound

When Correct Beliefs Collapse: Epistemic Resilience of LLMs under Clinical Pressure cites this paper.

When Correct Beliefs Collapse: Epistemic Resilience of LLMs under Clinical Pressure Improving Instruction-Following in Language Models through Activation Steering

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-07-04T23:00:11.079134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a23c0b51-3f8b-424a-aebe-43a00c8ccd12 · inbound

Activation Steering for Synthetic Data Generation: The Role of Diversity in Downstream Safety Detection cites this paper.

Activation Steering for Synthetic Data Generation: The Role of Diversity in Downstream Safety Detection Improving Instruction-Following in Language Models through Activation Steering

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-06-29T14:03:29.931408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 84003498-a5aa-47a8-a14d-6ffdf5d1b7cc · inbound

Steer Where It Matters: Token-Level Visual-Sensitivity Steering for LVLMs Hallucination Mitigation cites this paper.

Steer Where It Matters: Token-Level Visual-Sensitivity Steering for LVLMs Hallucination Mitigation Improving Instruction-Following in Language Models through Activation Steering

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-07-02T03:06:29.625731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 144b3f93-b50e-4ad1-818a-19b90b871ab8 · inbound

Answer Engineering: Local Trajectory Editing for Protocol-Constrained Decision Making in Large Language Models cites this paper.

Answer Engineering: Local Trajectory Editing for Protocol-Constrained Decision Making in Large Language Models Improving Instruction-Following in Language Models through Activation Steering

Reference 76

Resolution: verified exact; arxiv_id, observed 2026-07-04T06:49:37.548861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9b9ff0cc-de6a-4c41-a4c8-acceedf924d6 · inbound

Plans Don't Persist: Why Context Management Is Load Bearing for LLM Agents cites this paper.

Plans Don't Persist: Why Context Management Is Load Bearing for LLM Agents Improving Instruction-Following in Language Models through Activation Steering

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-04T10:49:46.400208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bd32edc9-720c-475e-b6ff-79705dad46aa · inbound

The Computational Basis of Confidence in Large Language Models cites this paper.

The Computational Basis of Confidence in Large Language Models Improving Instruction-Following in Language Models through Activation Steering

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-02T06:37:42.924059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9718b1b5-8e56-40be-92c0-f07e112a3e91 · inbound

Verbalizable Representations Form a Global Workspace in Language Models cites this paper.

Verbalizable Representations Form a Global Workspace in Language Models Improving Instruction-Following in Language Models through Activation Steering

Reference 144

Resolution: unresolved; no resolver link, observed 2026-08-01T23:15:30.812196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.