Paper Citation Record · LEDGER

A Survey on Progress in LLM Alignment from the Perspective of Reward Design

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2505.02666.

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

pith.paper-citation-record.v1
2505.02666 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:34:54.149826Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T15:13:24.995061Z

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 ee03b3fa-d2de-4e87-a295-f23b14920c33 · inbound

Generative RLHF-V: Learning Principles from Multi-modal Human Preference cites this paper.

Generative RLHF-V: Learning Principles from Multi-modal Human Preference A Survey on Progress in LLM Alignment from the Perspective of Reward Design

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:54.149826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f62552a-42ae-461a-a31e-025c52a5da8e · inbound

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle cites this paper.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle A Survey on Progress in LLM Alignment from the Perspective of Reward Design

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:31.458650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b2e92cf-75a6-4f93-8c34-5cefa1a641c4 · inbound

Safety, Security, and Cognitive Risks in World Models cites this paper.

Safety, Security, and Cognitive Risks in World Models A Survey on Progress in LLM Alignment from the Perspective of Reward Design

Reference 68

Resolution: verified exact; arxiv_id, observed 2026-05-13T22:38:22.250055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a4536758-faa6-4355-8e41-137def431398 · inbound

ClaHF: A Human Feedback-inspired Reinforcement Learning Framework for Improving Classification Tasks cites this paper.

ClaHF: A Human Feedback-inspired Reinforcement Learning Framework for Improving Classification Tasks A Survey on Progress in LLM Alignment from the Perspective of Reward Design

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-20T15:13:24.997088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.