Paper Citation Record · LEDGER

Steering Large Language Models using Conceptors: Improving Addition-Based Activation Engineering

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2410.16314.

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

pith.paper-citation-record.v1
2410.16314 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T13:56:49.249741Z

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 89612e84-0213-40b0-be31-b78f3e720efa · inbound

Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models cites this paper.

Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models Steering Large Language Models using Conceptors: Improving Addition-Based Activation Engineering

Reference 242

Resolution: verified exact; arxiv_id, observed 2026-05-16T12:40:54.788507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 46859ec1-d99c-4a09-830f-c010e8766f11 · inbound

How Do Answer Tokens Read Reasoning Traces? Self-Reading Patterns in Thinking LLMs for Quantitative Reasoning cites this paper.

How Do Answer Tokens Read Reasoning Traces? Self-Reading Patterns in Thinking LLMs for Quantitative Reasoning Steering Large Language Models using Conceptors: Improving Addition-Based Activation Engineering

Reference 25

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T02:43:24.290608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ece9a8cb-c645-415e-a2e9-973aedb4f8b8 · inbound

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

Prompt-Activation Duality: Improving Activation Steering via Attention-Level Interventions Steering Large Language Models using Conceptors: Improving Addition-Based Activation Engineering

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:16:26.086032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a64375d0-503f-416b-9231-fb1105357add · inbound

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

Prompt-Activation Duality: Improving Activation Steering via Attention-Level Interventions Steering Large Language Models using Conceptors: Improving Addition-Based Activation Engineering

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-15T05:29:47.031337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 08dfd40a-f066-49d2-b7dd-c0a4761a9bc1 · inbound

$\alpha$-TCAV: A Unified Framework for Testing with Concept Activation Vectors cites this paper.

$\alpha$-TCAV: A Unified Framework for Testing with Concept Activation Vectors Steering Large Language Models using Conceptors: Improving Addition-Based Activation Engineering

Reference 131

Resolution: verified exact; arxiv_id, observed 2026-05-19T19:52:44.709195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 40efe201-57fd-4cb2-9c00-304b3f31650f · inbound

Decomposing how prompting steers behavior cites this paper.

Decomposing how prompting steers behavior Steering Large Language Models using Conceptors: Improving Addition-Based Activation Engineering

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-02T02:46:28.541690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bb07d6db-e778-495a-a288-bb68f19796d2 · inbound

Temporal Preference Concepts and their Functions in a Large Language Model cites this paper.

Temporal Preference Concepts and their Functions in a Large Language Model Steering Large Language Models using Conceptors: Improving Addition-Based Activation Engineering

Reference 89

Resolution: verified exact; arxiv_id, observed 2026-07-01T14:05:47.189968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a20c3392-d86a-4cb4-a46d-4498d71301b5 · inbound

Temporal Preference Concepts and their Functions in a Large Language Model cites this paper.

Temporal Preference Concepts and their Functions in a Large Language Model Steering Large Language Models using Conceptors: Improving Addition-Based Activation Engineering

Reference 89

Resolution: unresolved; no resolver link, observed 2026-07-12T17:03:44.315006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49889d5e-40a8-47fd-827a-50701475574a · inbound

Probabilistic Concept-Aware Steering for Trustworthy LLM Inference cites this paper.

Probabilistic Concept-Aware Steering for Trustworthy LLM Inference Steering Large Language Models using Conceptors: Improving Addition-Based Activation Engineering

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-02T13:56:49.249741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c9965ac-060e-42a0-9db0-4acdfd9d2ca7 · inbound

Where Steering Signals Come From: Activation Source Selection in Activation Steering cites this paper.

Where Steering Signals Come From: Activation Source Selection in Activation Steering Steering Large Language Models using Conceptors: Improving Addition-Based Activation Engineering

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-01T03:00:44.918837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2c82c05-5d54-4281-b11b-6f229ae5ffac · inbound

Latent-IM: Latent Interaction Management for Speech LLMs cites this paper.

Latent-IM: Latent Interaction Management for Speech LLMs Steering Large Language Models using Conceptors: Improving Addition-Based Activation Engineering

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-30T16:46:07.357247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.