Paper Citation Record · LEDGER

Reinforcement Learning from User Feedback

As of 8 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 4 inbound Pith citation observations for arXiv:2505.14946.

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

pith.paper-citation-record.v1
2505.14946 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:31:19.984724Z

measured 19 of 19 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 2026-08-03T04:00:17.717041Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T06:41:10.730142Z

Reference resolution

15 of 15 outbound references displayed

verified exact0
verified fuzzy3
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b2ab7095-50fb-416c-87bc-9a347c2cacdb · outbound

This paper cites write newline.

Reinforcement Learning from User Feedback write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T15:31:18.136449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f263c6e-0cde-4bb6-b96b-90849af888b9 · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

Reinforcement Learning from User Feedback Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T15:31:18.262530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 523153a0-7109-4a28-bf9b-bc5488b3d8cd · outbound

This paper cites Deep neural networks for youtube recommendations.

Reinforcement Learning from User Feedback Deep neural networks for youtube recommendations

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:20.868378Z

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 7052395b-27cb-4d97-a0d3-ede20d28d8d6 · outbound

This paper cites Safe RLHF: Safe Reinforcement Learning from Human Feedback.

Reinforcement Learning from User Feedback Safe RLHF: Safe Reinforcement Learning from Human Feedback

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T15:31:18.545522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5bf7fe79-51d5-464a-9e17-d20e2c49382d · outbound

This paper cites The Llama 3 Herd of Models.

Reinforcement Learning from User Feedback The Llama 3 Herd of Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T15:31:18.652719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12575196-fd6d-46f4-a34b-dc1f0bcf13dd · outbound

This paper cites Monolith: Real Time Recommendation System With Collisionless Embedding Table.

Reinforcement Learning from User Feedback Monolith: Real Time Recommendation System With Collisionless Embedding Table

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T15:31:18.796406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation afc134b4-159d-400c-b6bf-a9a9957d135b · outbound

This paper cites Deep learning recommendation model for personalization and recommendation systems.

Reinforcement Learning from User Feedback Deep learning recommendation model for personalization and recommendation systems

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:20.630150Z

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 e0e223e9-45df-4c5b-87da-8dccd58dd865 · outbound

This paper cites GPT-4 Technical Report.

Reinforcement Learning from User Feedback GPT-4 Technical Report

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T15:31:19.088890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 187829dc-d5e9-4be6-8728-8a5decf356e1 · outbound

This paper cites Training language models to follow instructions with human feedback.

Reinforcement Learning from User Feedback Training language models to follow instructions with human feedback

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T15:31:19.258698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14511249-4d0a-4732-a8e2-58380b960387 · outbound

This paper cites Juicer: A benchmark for open domain dialogue evaluation with diverse negative responses.

Reinforcement Learning from User Feedback Juicer: A benchmark for open domain dialogue evaluation with diverse negative responses

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:20.378457Z

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 832ffd17-9217-4ad5-9f8d-1669bfd06395 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Reinforcement Learning from User Feedback Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T15:31:19.528623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd73abf3-90d8-4f4c-a164-675c57203be7 · outbound

This paper cites Improving Open Language Models by Learning from Organic Interactions.

Reinforcement Learning from User Feedback Improving Open Language Models by Learning from Organic Interactions

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T15:31:19.651643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75b57ebb-2c3e-4acd-9fe1-0523b5f07d79 · outbound

This paper cites The Perfect Blend: Redefining RLHF with Mixture of Judges.

Reinforcement Learning from User Feedback The Perfect Blend: Redefining RLHF with Mixture of Judges

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T15:31:19.744551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e8cb7dd-c969-43e7-b52d-91bbe4171d6c · outbound

This paper cites Secrets of RLHF in Large Language Models Part I: PPO.

Reinforcement Learning from User Feedback Secrets of RLHF in Large Language Models Part I: PPO

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T15:31:19.864968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba52866a-1355-43be-aa47-161221142ae4 · outbound

This paper cites Fine-Tuning Language Models from Human Preferences.

Reinforcement Learning from User Feedback Fine-Tuning Language Models from Human Preferences

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T15:31:19.984724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation d87a5206-3a8d-43b2-883a-5aa84860bd56 · inbound

Improve Large Language Model Systems with User Logs cites this paper.

Improve Large Language Model Systems with User Logs Reinforcement Learning from User Feedback

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-21T14:34:12.887504Z

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 cc288a59-2e67-4c42-8f07-1a56c70ae9e6 · inbound

Improve Large Language Model Systems with User Logs cites this paper.

Improve Large Language Model Systems with User Logs Reinforcement Learning from User Feedback

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T04:00:17.717041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53b82c74-fda3-4e75-b667-04a7ee5080d5 · inbound

Don't Let Bandit Feedback Pull Continual LLM-Recommender Updates Off Target cites this paper.

Don't Let Bandit Feedback Pull Continual LLM-Recommender Updates Off Target Reinforcement Learning from User Feedback

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-20T14:18:21.443053Z

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 be025eea-7c21-41ee-bd3e-2b19cfe6c51b · inbound

Echo: Learning from Experience Data via User-Driven Refinement cites this paper.

Echo: Learning from Experience Data via User-Driven Refinement Reinforcement Learning from User Feedback

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-22T06:41:10.732700Z

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.