Pith. sign in

Paper Citation Record · LEDGER

RosePO: Aligning LLM-based Recommenders with Human Values

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 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 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T17:17:41.264202Z

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 503bddb0-2f52-4d8f-9615-7a04fa96211d · inbound

SPRec: Self-Play to Debias LLM-based Recommendation cites this paper.

SPRec: Self-Play to Debias LLM-based Recommendation RosePO: Aligning LLM-based Recommenders with Human Values

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-11T17:17:41.264202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:17:41.264202Z digest=sha256:e24640b5c1c6f002d63b035af38b230e0221b2da4d9ac22c6f3cd6ecbe00a3d6

Observation 855ecc0a-cd2c-487a-8b15-822cf084beac · inbound

Multi-Grained Patch Training for Efficient LLM-based Recommendation cites this paper.

Multi-Grained Patch Training for Efficient LLM-based Recommendation RosePO: Aligning LLM-based Recommenders with Human Values

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-10T14:41:39.251200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:41:39.251200Z digest=sha256:6726d90da0b7b90b217ed6dc90c6fc2c41c1da94d1c849f7a9ef2dc3d32f3f74

Observation fe28096a-bd55-4525-b7db-8407defd8419 · inbound

Intent Representation Learning with Large Language Model for Recommendation cites this paper.

Intent Representation Learning with Large Language Model for Recommendation RosePO: Aligning LLM-based Recommenders with Human Values

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-09T05:15:43.444339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T05:15:43.444339Z digest=sha256:3a322c16d985631e066a86d3749bb30360b650e198abade6d7ff73daef3be20d

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.

source=pdf_text observed=2026-08-06T23:53:55.546384Z digest=sha256:580929cfd8c1a3a463e8aa02779b87075d9d820c003726be814e2d7e0bcffbe9

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.

source=pdf_text observed=2026-08-06T19:59:15.931194Z digest=sha256:14a19a4b9a33cd7f59244f53c61198547d6e435bf17d11f9b473e92e966e9a4b

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.

source=arxiv_source observed=2026-08-06T19:06:04.573309Z digest=sha256:c50442f12b40c433b78a56a963d9fd3fce8b0c157f9fa9accccf1d10f7e062b0

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-18T03:47:08.208082Z digest=sha256:8e1d50539ac2bcc192ea71116ead5e11729d1eb98b4b75b928c79ef65eebf686

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-17T06:16:53.140133Z digest=sha256:1459062c593525ee41e49bee725df51ae88b8f308d727a504958bedd22795b3e

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-16T09:24:48.941118Z digest=sha256:8d0fd01b052cabb7804871484d20f53b8e4fb87d8e3280f7ebd45a53f9d01dec

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.

source=pdf_text observed=2026-08-03T06:28:25.882387Z digest=sha256:5cc9a0a6617260a2abe5f8826bb6b303399270bcdd123c7c9151caf41b46ad12

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.

source=pdf_text observed=2026-08-03T00:05:09.681588Z digest=sha256:4c2c9ca1c5aabae2ccee02905d86d567663edc788cc5ef146b9e312b1c730cb3

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-08T17:06:18.050592Z digest=sha256:2288d20a25ae40002e8cf18d49a838983149c7eacaf15ce517ac33a6bb718f6b

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-20T22:37:46.345159Z digest=sha256:664ee9ff99072dd8663bb9b1db76fdd9672606ab94b1d9b53d7e8f6fc195fcd8

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-28T18:41:06.636352Z digest=sha256:4132f945f2bda9b0a9f15d824c4e21dfeb2a2643b588083ddf988dd3dd5260a1

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.

source=pdf_text observed=2026-07-11T20:29:43.700229Z digest=sha256:aa3e7499c5745cee19389362464f766b5dd65edeef0e12fca19c2a97796cd78a