Paper Citation Record · LEDGER

Group Preference Optimization: Few-Shot Alignment of Large Language Models

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2310.11523.

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

pith.paper-citation-record.v1
2310.11523 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T16:46:58.512718Z

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 4e9f0256-508d-485b-a5d4-bc53983a8ad9 · inbound

A Roadmap to Pluralistic Alignment cites this paper.

A Roadmap to Pluralistic Alignment Group Preference Optimization: Few-Shot Alignment of Large Language Models

Reference 132

Resolution: verified exact; arxiv_id, observed 2026-05-16T14:37:53.420006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ac8525f9-df10-409c-a4e9-1adee3072190 · inbound

Task-driven Layerwise Additive Activation Intervention cites this paper.

Task-driven Layerwise Additive Activation Intervention Group Preference Optimization: Few-Shot Alignment of Large Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-08T16:46:58.512718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5587ce27-fca4-47b7-93b5-ccf918efeccf · inbound

POPI: Personalizing LLMs via Optimized Natural Language Preference Inference cites this paper.

POPI: Personalizing LLMs via Optimized Natural Language Preference Inference Group Preference Optimization: Few-Shot Alignment of Large Language Models

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-18T05:42:24.378418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f9660416-4055-46af-bcb8-2b04af2f83eb · inbound

What's In My Human Feedback? Learning Interpretable Descriptions of Preference Data cites this paper.

What's In My Human Feedback? Learning Interpretable Descriptions of Preference Data Group Preference Optimization: Few-Shot Alignment of Large Language Models

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T03:40:50.436067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a846ecc6-d550-43aa-960f-54d6fdbb94f3 · inbound

Context Engineering: A Practitioner Methodology for Structured Human-AI Collaboration cites this paper.

Context Engineering: A Practitioner Methodology for Structured Human-AI Collaboration Group Preference Optimization: Few-Shot Alignment of Large Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-13T10:27:28.560210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6acfcdc6-a9c5-40b6-ae19-dc20ab01e67a · inbound

Personalized RewardBench: Evaluating Reward Models with Human Aligned Personalization cites this paper.

Personalized RewardBench: Evaluating Reward Models with Human Aligned Personalization Group Preference Optimization: Few-Shot Alignment of Large Language Models

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:46:17.736420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d135c689-0cd4-4346-b753-6917f544f758 · inbound

Personalized RewardBench: Evaluating Reward Models with Human Aligned Personalization cites this paper.

Personalized RewardBench: Evaluating Reward Models with Human Aligned Personalization Group Preference Optimization: Few-Shot Alignment of Large Language Models

Reference 1905

Resolution: unresolved; no resolver link, observed 2026-08-02T16:39:51.110839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa460126-2a43-4739-85bd-07c483956a13 · inbound

Efficient Personalization of Generative User Interfaces cites this paper.

Efficient Personalization of Generative User Interfaces Group Preference Optimization: Few-Shot Alignment of Large Language Models

Reference 109

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:00:57.602642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 80f78f64-f29d-4440-a803-0c5a3431eef4 · inbound

Three Models of RLHF Annotation: Extension, Evidence, and Authority cites this paper.

Three Models of RLHF Annotation: Extension, Evidence, and Authority Group Preference Optimization: Few-Shot Alignment of Large Language Models

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-12T00:46:12.356158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 79071978-666a-4e2d-b38f-f3085cb49873 · inbound

PAFO: Pareto Fairness Optimization for Personalized Reward Modeling cites this paper.

PAFO: Pareto Fairness Optimization for Personalized Reward Modeling Group Preference Optimization: Few-Shot Alignment of Large Language Models

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-07-02T20:57:23.627346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 96a6d5b6-b5ec-4741-a3ff-ac1fd174b222 · inbound

Beyond the Golden Teacher: Enhancing Graph Learning through LLM-GNN Co-teaching cites this paper.

Beyond the Golden Teacher: Enhancing Graph Learning through LLM-GNN Co-teaching Group Preference Optimization: Few-Shot Alignment of Large Language Models

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-07-03T09:07:47.639938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 67f7c8f4-8f90-4505-a1c2-488501e43fa9 · inbound

Constructive Alignment: Governing Preference Dynamics in Human-AI Interaction cites this paper.

Constructive Alignment: Governing Preference Dynamics in Human-AI Interaction Group Preference Optimization: Few-Shot Alignment of Large Language Models

Reference 146

Resolution: unresolved; no resolver link, observed 2026-07-13T14:35:55.709732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.