Paper Citation Record · LEDGER

RosePO: Aligning LLM-based Recommenders with Human Values

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2410.12519.

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

pith.paper-citation-record.v1
2410.12519 v1

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 2026-08-08T06:32:00.761636+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:53:55.546384Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T18:42:29.281325Z

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 d4243e26-dda9-45d6-bf2e-85b89589fe99 · inbound

Architecture is All You Need: Improving LLM Recommenders by Dropping the Text cites this paper.

Architecture is All You Need: Improving LLM Recommenders by Dropping the Text RosePO: Aligning LLM-based Recommenders with Human Values

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T23:53:55.546384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68c0e734-014a-4aac-b1fb-743dd90b9150 · inbound

BiFair: A Fairness-aware Training Framework for LLM-enhanced Recommender Systems via Bi-level Optimization cites this paper.

BiFair: A Fairness-aware Training Framework for LLM-enhanced Recommender Systems via Bi-level Optimization RosePO: Aligning LLM-based Recommenders with Human Values

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T19:59:15.931194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6e2aa92-45bb-4f51-8e7e-24db413e3f70 · inbound

GR-LLMs: Recent Advances in Generative Recommendation Based on Large Language Models cites this paper.

GR-LLMs: Recent Advances in Generative Recommendation Based on Large Language Models RosePO: Aligning LLM-based Recommenders with Human Values

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-06T19:06:04.573309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6276a494-77a0-44d1-85f4-abc92dec7b46 · inbound

A Survey on Generative Recommendation: Data, Model, and Tasks cites this paper.

A Survey on Generative Recommendation: Data, Model, and Tasks RosePO: Aligning LLM-based Recommenders with Human Values

Reference 90

Resolution: verified exact; arxiv_id, observed 2026-05-18T03:50:52.174788Z

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 13ea6004-528d-40b4-b36f-6932595f9353 · inbound

Multimodal Large Language Models with Adaptive Preference Optimization for Sequential Recommendation cites this paper.

Multimodal Large Language Models with Adaptive Preference Optimization for Sequential Recommendation RosePO: Aligning LLM-based Recommenders with Human Values

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-17T06:19:09.843902Z

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 11fffbb4-153f-4ff3-8178-09ebf17c9008 · inbound

BEAR: Towards Beam-Search-Aware Optimization for Recommendation with Large Language Models cites this paper.

BEAR: Towards Beam-Search-Aware Optimization for Recommendation with Large Language Models RosePO: Aligning LLM-based Recommenders with Human Values

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-16T09:27:41.321655Z

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 0640dd3b-1ccc-4a17-84ea-7941ca89afd6 · inbound

BEAR: Towards Beam-Search-Aware Optimization for Recommendation with Large Language Models cites this paper.

BEAR: Towards Beam-Search-Aware Optimization for Recommendation with Large Language Models RosePO: Aligning LLM-based Recommenders with Human Values

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-03T06:28:25.882387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a261945-7f9a-45ce-995c-9ded27593164 · inbound

Uncertainty-aware Generative Recommendation cites this paper.

Uncertainty-aware Generative Recommendation RosePO: Aligning LLM-based Recommenders with Human Values

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-03T00:05:09.681588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5f14ab2-023e-4935-9247-f23a23aa2053 · inbound

Beyond Static Best-of-N: Bayesian List-wise Alignment for LLM-based Recommendation cites this paper.

Beyond Static Best-of-N: Bayesian List-wise Alignment for LLM-based Recommendation RosePO: Aligning LLM-based Recommenders with Human Values

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:51:06.601336Z

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 d6236243-f7a7-44c2-ac09-bdd225fe9109 · inbound

Goal-Conditioned Supervised Learning for LLM Fine-Tuning cites this paper.

Goal-Conditioned Supervised Learning for LLM Fine-Tuning RosePO: Aligning LLM-based Recommenders with Human Values

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-20T22:39:10.054150Z

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 428d225f-00db-4c2d-aa4d-a3beecaa6a2b · inbound

Trustworthy Recommendation in the Era of Large Language Models: Opportunities and Challenges cites this paper.

Trustworthy Recommendation in the Era of Large Language Models: Opportunities and Challenges RosePO: Aligning LLM-based Recommenders with Human Values

Reference 132

Resolution: verified exact; arxiv_id, observed 2026-06-28T18:42:29.283089Z

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 668e0bd9-f1c4-4ac0-8d49-77e976298b85 · inbound

LBR: Towards Mitigating Length Bias in Large Language Models for Recommendation cites this paper.

LBR: Towards Mitigating Length Bias in Large Language Models for Recommendation RosePO: Aligning LLM-based Recommenders with Human Values

Reference 31

Resolution: unresolved; no resolver link, observed 2026-07-11T20:29:43.700229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.