Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
On Targeted Manipulation and Deception when Optimizing LLMs for User Feedback
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2411.02306.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T06:07:29.471740Z
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
3
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 f988d7e4-0356-480d-96c4-767364624d4e · inbound
The Lock-in Hypothesis: Stagnation by Algorithm cites this paper.
The Lock-in Hypothesis: Stagnation by Algorithm On Targeted Manipulation and Deception when Optimizing LLMs for User Feedback
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T06:07:29.471740Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0c2aa3db-74cd-4152-8fa1-dfcef47d83d0 · inbound
Manipulation Attacks by Misaligned AI: Risk Analysis and Safety Case Framework cites this paper.
Manipulation Attacks by Misaligned AI: Risk Analysis and Safety Case Framework On Targeted Manipulation and Deception when Optimizing LLMs for User Feedback
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:39:38.443628Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1a9a12ca-456d-490e-a71b-77b9dc424b9f · inbound
Mitigating LLM biases toward spurious social contexts using direct preference optimization cites this paper.
Mitigating LLM biases toward spurious social contexts using direct preference optimization On Targeted Manipulation and Deception when Optimizing LLMs for User Feedback
Reference 32
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T20:33:14.711288Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e7853648-c97f-4152-b45e-93f4915b0e0a · inbound
Quantifying the Utility of User Simulators for Building Collaborative LLM Assistants cites this paper.
Quantifying the Utility of User Simulators for Building Collaborative LLM Assistants On Targeted Manipulation and Deception when Optimizing LLMs for User Feedback
Reference 93
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T07:36:47.497987Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 6f416061-052a-4a36-ad3b-73db504dbbe3 · inbound
Structure from Strategic Interaction & Uncertainty: Risk Sensitive Games for Robust Preference Learning cites this paper.
Structure from Strategic Interaction & Uncertainty: Risk Sensitive Games for Robust Preference Learning On Targeted Manipulation and Deception when Optimizing LLMs for User Feedback
Reference 2
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T06:26:26.433528Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 34fee9e2-f2cf-4589-9372-4ee2e14d56ed · inbound
Structure from Strategic Interaction & Uncertainty: Risk Sensitive Games for Robust Preference Learning cites this paper.
Structure from Strategic Interaction & Uncertainty: Risk Sensitive Games for Robust Preference Learning On Targeted Manipulation and Deception when Optimizing LLMs for User Feedback
Reference 2
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T22:08:05.074380Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 3895b28b-088f-46cf-9173-a7d42d07ca6f · inbound
Benchmarking and Improving Monitors for Out-Of-Distribution Alignment Failure in LLMs cites this paper.
Benchmarking and Improving Monitors for Out-Of-Distribution Alignment Failure in LLMs On Targeted Manipulation and Deception when Optimizing LLMs for User Feedback
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T09:41:22.314555Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e0525972-eb1f-4cbe-b8cf-92f9b5659cf7 · inbound
Benchmarking and Improving Monitors for Out-Of-Distribution Alignment Failure in LLMs cites this paper.
Benchmarking and Improving Monitors for Out-Of-Distribution Alignment Failure in LLMs On Targeted Manipulation and Deception when Optimizing LLMs for User Feedback
Reference 78
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T09:41:21.438931Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 32ce9421-a677-49fb-bb53-5592957b5e3a · inbound
Benchmarking and Improving Monitors for Out-Of-Distribution Alignment Failure in LLMs cites this paper.
Benchmarking and Improving Monitors for Out-Of-Distribution Alignment Failure in LLMs On Targeted Manipulation and Deception when Optimizing LLMs for User Feedback
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T17:34:58.065439Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 5af3ff9c-5371-481e-aade-f6878d2db672 · inbound
A Model of Multi-turn Human Persuadability Using Probabilistic Belief Tracing cites this paper.
A Model of Multi-turn Human Persuadability Using Probabilistic Belief Tracing On Targeted Manipulation and Deception when Optimizing LLMs for User Feedback
Reference 131
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T08:16:47.587162Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 05b8766f-9d6d-4619-8d5b-3c0d94259f68 · inbound
Against Proxy Optimization cites this paper.
Against Proxy Optimization On Targeted Manipulation and Deception when Optimizing LLMs for User Feedback
Reference 50
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-04T10:49:46.629443Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation b8249767-90a5-44c7-bcc2-52b47f825175 · inbound
Theory of Mind and Persuasion Beyond Conversation: Assessing the Capacity of LLMs to Induce Belief States via Planning and Action cites this paper.
Theory of Mind and Persuasion Beyond Conversation: Assessing the Capacity of LLMs to Induce Belief States via Planning and Action On Targeted Manipulation and Deception when Optimizing LLMs for User Feedback
Reference 74
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T10:15:44.649060Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 948a15f7-17d7-4f76-8b0f-5b311c1ea7e5 · inbound
Psychological Influences of Conversational AI: Research and Design Directions for Reducing Harm and Promoting Well-Being cites this paper.
Psychological Influences of Conversational AI: Research and Design Directions for Reducing Harm and Promoting Well-Being On Targeted Manipulation and Deception when Optimizing LLMs for User Feedback
Reference 158
- Resolution
- unresolved
- no resolver link, observed 2026-07-31T02:25:21.866266Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.