Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Survey on Personalized and Pluralistic Preference Alignment in Large Language Models
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2504.07070.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-14T04:15:38.236029Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T01:07:30.222635Z
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 a336c17b-da36-4867-a142-75b5971813e2 · inbound
Simultaneous Multi-objective Alignment Across Verifiable and Non-verifiable Rewards cites this paper.
Simultaneous Multi-objective Alignment Across Verifiable and Non-verifiable Rewards A Survey on Personalized and Pluralistic Preference Alignment in Large Language Models
Reference 66
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T13:15:47.872268Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5cb4e6ff-bdc7-4ac5-a045-7d8b40d6df42 · inbound
POPI: Personalizing LLMs via Optimized Natural Language Preference Inference cites this paper.
POPI: Personalizing LLMs via Optimized Natural Language Preference Inference A Survey on Personalized and Pluralistic Preference Alignment in Large Language Models
Reference 46
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T05:42:24.329486Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation bec524fd-1acf-4a5b-ab48-f540922d4fd2 · inbound
Mobile GUI Agent Privacy Personalization with Trajectory Induced Preference Optimization cites this paper.
Mobile GUI Agent Privacy Personalization with Trajectory Induced Preference Optimization A Survey on Personalized and Pluralistic Preference Alignment in Large Language Models
Reference 35
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T09:11:01.133184Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 8c8dbadd-aa21-4352-99fa-873dadf44e84 · inbound
ProactBench: Beyond What The User Asked For cites this paper.
ProactBench: Beyond What The User Asked For A Survey on Personalized and Pluralistic Preference Alignment in Large Language Models
Reference 72
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T02:16:16.072298Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation ac765487-c356-45aa-ba95-8253362e56ea · inbound
When to Ask a Question: Understanding Communication Strategies in Generative AI Tools cites this paper.
When to Ask a Question: Understanding Communication Strategies in Generative AI Tools A Survey on Personalized and Pluralistic Preference Alignment in Large Language Models
Reference 58
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:17:02.590280Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 52b31dbf-12fb-4510-8302-a8c82f610854 · inbound
Preference-Aware Rubric Learning for Personalized Evaluation cites this paper.
Preference-Aware Rubric Learning for Personalized Evaluation A Survey on Personalized and Pluralistic Preference Alignment in Large Language Models
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T19:36:08.239607Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c0588f92-9e52-4d98-b36e-721b04d22295 · inbound
Toward Human-Centered Multi-Agent Systems: Integrating Cognition, Culture, Values, and Cooperation in AI Agents cites this paper.
Toward Human-Centered Multi-Agent Systems: Integrating Cognition, Culture, Values, and Cooperation in AI Agents A Survey on Personalized and Pluralistic Preference Alignment in Large Language Models
Reference 35
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T22:37:25.794619Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation a460359a-2b74-4ea9-8053-45a3be2b6712 · inbound
Personalization Meets Safety:Mechanisms,Risks,and Mitigations in Personalized LLMs cites this paper.
Personalization Meets Safety:Mechanisms,Risks,and Mitigations in Personalized LLMs A Survey on Personalized and Pluralistic Preference Alignment in Large Language Models
Reference 35
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-03T01:07:30.224116Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation e19d68a7-45bd-4d12-a5aa-d51ef1e1a873 · inbound
Procedural Fairness Failures in RLHF from Preference Averaging cites this paper.
Procedural Fairness Failures in RLHF from Preference Averaging A Survey on Personalized and Pluralistic Preference Alignment in Large Language Models
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T04:15:38.236029Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.