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Paper Citation Record · LEDGER

Improving Instruction-Following in Language Models through Activation Steering

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 24 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 24 of 24 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 24 of 24 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:30:22.087008Z

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
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  • 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 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.

source=arxiv_source observed=2026-08-07T15:30:22.087008Z digest=sha256:e93ffd2d19ed4ca2e6533435072be3581539d88dd6c4b1fb36749c1da9550cd1

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.

source=arxiv_source observed=2026-08-07T12:13:18.854878Z digest=sha256:c6c854bce1903f8877cbb16f24e8c0b098e914d33aa8f41a1ef2b8a216fbc243

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.

source=arxiv_source observed=2026-08-07T12:07:11.509790Z digest=sha256:eb03c6a3e4e93f92917535f225453c27c96d1a164b830763c174c55542521299

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T11:34:09.428653Z digest=sha256:4be003a76f53a3dd87a25cd98cbad1730f487ba2b3f15b15b097a682d7aa88b6

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T05:39:56.467519Z digest=sha256:1f2a75a15088eb6d9dd7d9e1f9d0b8094669c84f9cb6d965fbc33fdc72712d50

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T08:20:22.658329Z digest=sha256:57605f3cd46dd6b9d58633843a36d7cff50dc57014e8b1bcf715f88865e7a72c

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.

source=pdf_text observed=2026-08-06T19:46:47.915387Z digest=sha256:b83b8d758aea44c8ba53c8702f94c5aa6e56ba82f79f256282148abb084c3f25

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-16T08:12:55.296932Z digest=sha256:e6e540f13b6fdf0ae11b1dfcf7a4a9a286744f6891b34b549c890ba3847f9e98

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-21T09:43:05.524088Z digest=sha256:05a4d342cf854596446250e2af2867b49b0dcaa84dee9231f9dab0a0aaeb3d3b

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T12:30:51.094216Z digest=sha256:8b656b38c0bbf1cb8c414a0cf2f78d115b44eb67eb42d51863b699fe12559b81

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-09T17:23:50.486306Z digest=sha256:91a046e6bdd1db004d765abe4573567b33ed175649b3567f30156bd3dd966837

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

Instruction Tuning Changes How Upstream State Conditions Late Readout: A Cross-Patching Diagnostic cites this paper.

Instruction Tuning Changes How Upstream State Conditions Late Readout: A Cross-Patching Diagnostic 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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-11T01:45:28.694041Z digest=sha256:563964b215a7b0cf5eb9f8f18eb3d4526c941bb755c0e4e992702f27cec6a159

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-12T04:27:15.490694Z digest=sha256:9c1af78941c6d7439cc2dc7155579cb8e783312d0dc7fa1caf47f6ca6697641a

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T05:27:59.011749Z digest=sha256:5eda7914e634e796be75ffdc0ded654d18b6ab125ec6dadfaa80162c9c3c702a

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T07:17:13.823853Z digest=sha256:00890dfe9d288e68940bd5275d4d3b9f03a51ce6eaab2e00c0dcdc8362e9fe09

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-21T07:44:32.054350Z digest=sha256:dc10e233ff0edefc971bb07d633870e6753925ab0527af5a05002d4b1cef40e6

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-25T05:31:29.510639Z digest=sha256:3bb650649136903e79ed2161027a656305875e6cf56b378d8f5ac032c6226c00

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-04T22:50:36.506757Z digest=sha256:bd2fa32e08615371be0f30921177f39cd953956cd79eeeef71adfac6d08403cd

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T13:53:27.306664Z digest=sha256:6d2d2cfc724eb288b931b6bca5670efa2071c2c677a5c6fb1db23aee216afbc9

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T10:22:40.055153Z digest=sha256:087133a97231f945e1648eb3a656a347c098d356c6d38043d961c6392e350782

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-26T14:13:13.678245Z digest=sha256:cf7b9d8990ac32878d5f3b7517cfbcb88eb01a3f097e70c4692659bc641f0ea8

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T08:27:28.236073Z digest=sha256:e29d1abc5a73ce7707e5673237b2e61d1b426d46805c3463d5e2b60ead0e14cc

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.

source=arxiv_source observed=2026-08-02T06:37:42.924059Z digest=sha256:84cc197a7a998934fa6239937f5b3c913f49553050a693bc7b4135ae0a3a7813

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.

source=pdf_text observed=2026-08-01T23:15:30.812196Z digest=sha256:c4296bfdbb3acfd822cabe2f71fdd44bb89dfda715474caaa0aaa49906210b5b