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Paper Citation Record · LEDGER

RosePO: Aligning LLM-based Recommenders with Human Values

As of 14 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 2026-08-14T06:32:32.682623+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:c6affe12d207527f0b90ab36d728cc7c8f18132c4554594f90348556016dbc1e

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=sha256:9fb39129b65bee75117be03628f63fdb0c1c1aaceac7a5b837f1c5300dad95f4

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:a51f219257c6d7a113e0e5780ade530f4f81e9949ad244fb747da5239247681b

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=sha256:154fe32dbbaedcbf9b4a24b3b8716d7260a57ef40f508ceaa5479342893b2f51

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=sha256:3c53b1d9c33ddb383df8cd1032e6f1b41430eea2eaffb6aaa0c52aae62f2cb6c

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:dc50c6d8c8f53895b88fc6316a35c2ccda5b7d46442cc6f9bc8f8c09c150eda9

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-18T03:47:08.208082Z digest=sha256:1015a77e7bfcdb0eade68f71133c02ab2d34c18f8d6d0f3013cbe702cd917f66

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-17T06:16:53.140133Z digest=sha256:ff343122cf18f12845b6c331061f76a8a012af3a6b2f8c7821180589abe3b963

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-16T09:24:48.941118Z digest=sha256:cf8665a8541e456edb000e2b17204ff56a5584d684c9f7f7f1835263ffc37e6f

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=sha256:608a0caf75807c99e162f01bd16de06f0cae9a2c3aa1d95d06f2bb49742709f1

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=sha256:5db9d964c6957f751f10f4dc4a79f32133f7591c9d74e4652705b0aa05697e90

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-08T17:06:18.050592Z digest=sha256:f6c14fae065fe6a58948c704409b5917629d0df203dbdc32591e83f7ad604aef

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-20T22:37:46.345159Z digest=sha256:843ce1f41fc2fa5d0363174b954087ec67b334f438543311d20e8d4bee51013e

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-28T18:41:06.636352Z digest=sha256:332e0fdeba02e5657ab31a283d9db6eeb9df9dee24e8f9cbe48acc5990e1d429

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:f453e0676b0b92de0a09d13e55098422bd95877d4a846ccb391c48a509d53a42