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Paper Citation Record · LEDGER

Improving Instruction-Following in Language Models through Activation Steering

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 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 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T06:37:42.924059Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-10T06:15:00.866473Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T11:34:09.428653Z digest=sha256:eb4ffbbc39cd73b12fa1eb02897b5bff58720c3c3fef3ef09c35be38b350c8f7

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T05:39:56.467519Z digest=sha256:44bcc3b794bcc8a449178914a6e172c53477655c5f6900633703294d030e45cc

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T08:20:22.658329Z digest=sha256:f42d5b5b900e450727f4518a0f3a3b27258198c21af068f447879c1ec238912b

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T08:12:55.296932Z digest=sha256:0d1f11c1a6b80b8280a4e4995c0e0ccf4ef01ed07eba42f19716fabf4d82eeff

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T09:43:05.524088Z digest=sha256:486d8db47746b8915b3b6e5189452cdaab463de6eb493b0657fcef4946e5e7db

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T12:30:51.094216Z digest=sha256:6d31f29381847ebfb8730d67ecdcee5ae08ad1e734760bdcea54e5c925ffb7da

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 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-09T17:23:50.486306Z digest=sha256:9316ba067279350db29004e4bf2bbbe971cb4b900b4a38ffb9da63e2b5f61427

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-11T01:45:28.694041Z digest=sha256:18371141ed5f0060dd7ae916cbf5894146e833cfd4394435f5f7be6cd75219d3

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-12T04:27:15.490694Z digest=sha256:98eb7210bc022ac7e18f544d757ed6a419e1e75282419f110f4a9132133988cc

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T05:27:59.011749Z digest=sha256:7ddaf26eeca5b901f9b297671e613773aeed8dd9588c8fb4eb936c6c2d8bf4ed

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T07:17:13.823853Z digest=sha256:bc2db877a9c926347940b804db8714f2e19a3afd9e8940b37984216272ef4f3c

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 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-21T07:44:32.054350Z digest=sha256:175de4923992467aa2256461870907dcd9194c9d17f9ff5ad33b3cda96d739b0

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-25T05:31:29.510639Z digest=sha256:4d4e3f5734102a03d38ed40dc4f25656e7e8c20a9ea145dc7bc2d7695cd85015

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-07-04T22:50:36.506757Z digest=sha256:f3f5f6d34efb3eff7a998e31102c0092af432cd4c167c2659860473ab6a84d33

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-29T13:53:27.306664Z digest=sha256:af9aaed34a50458fb66ddde6bf25d1278f2532f22cef3d7071f4ca132830571f

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T10:22:40.055153Z digest=sha256:3a60e421a2d010eb8d4651b2e790f1462f94776b4a584b47c7cb2bf0ca569b2d

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 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-06-26T14:13:13.678245Z digest=sha256:fc2319d960548b30ac8fc0d5fc846d4611e5621204bf88339f67c3ddab5fc195

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-26T08:27:28.236073Z digest=sha256:90fe900046d2795838109499cefd49dd2861677fdc5b786cc42efd377772d676

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=sha256:168800533b88e54ae7ce1558c0bf2914c81dde4f846dd6d2afb372416d42d0ae

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=sha256:5d52d818cb13185fdd532284ec1125d9539efaae89d943a8582d19804362a557