Paper Citation Record · LEDGER

Efficient Online RFT with Plug-and-Play LLM Judges: Unlocking State-of-the-Art Performance

As of 19 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2506.05748.

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

pith.paper-citation-record.v1
2506.05748 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:19:36.208057Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

42 of 42 outbound references displayed

verified exact1
verified fuzzy19
unresolved20
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bfc05f2a-2cd1-423e-b517-028202c5982b · outbound

This paper cites Each category of algorithms presents unique benefits and constraints, rendering their integrated application beneficial in real -world scenarios.

Efficient Online RFT with Plug-and-Play LLM Judges: Unlocking State-of-the-Art Performance Each category of algorithms presents unique benefits and constraints, rendering their integrated application beneficial in real -world scenarios

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:19:41.116682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4bf31566-4f24-4634-8570-42b5186bb4d4 · outbound

This paper cites LLM-as- a-Judge.

Efficient Online RFT with Plug-and-Play LLM Judges: Unlocking State-of-the-Art Performance LLM-as- a-Judge

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:19:41.070207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c4e8b6e8-0188-4312-a89d-4c30f929e8c7 · outbound

This paper cites score" field in [-1, 1] and a short.

Efficient Online RFT with Plug-and-Play LLM Judges: Unlocking State-of-the-Art Performance score" field in [-1, 1] and a short

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:19:40.876633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9c517a11-173d-4123-849e-a78414a33087 · outbound

This paper cites 𝑏𝑒𝑡𝑡𝑒𝑟":.

Efficient Online RFT with Plug-and-Play LLM Judges: Unlocking State-of-the-Art Performance 𝑏𝑒𝑡𝑡𝑒𝑟":

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:19:40.636409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0394a0ad-67b0-4824-8573-f5df187a27c4 · outbound

This paper cites be funnier.

Efficient Online RFT with Plug-and-Play LLM Judges: Unlocking State-of-the-Art Performance be funnier

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:19:40.765243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 21804ec0-a5c9-4bad-a29b-1e5668030674 · outbound

This paper cites plug -and-play.

Efficient Online RFT with Plug-and-Play LLM Judges: Unlocking State-of-the-Art Performance plug -and-play

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:19:40.366764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ed1ee598-6ad1-4a86-b403-bab2b8c2cefc · outbound

This paper cites Which answer is better? Return ‘A’ or ‘B’ only.

Efficient Online RFT with Plug-and-Play LLM Judges: Unlocking State-of-the-Art Performance Which answer is better? Return ‘A’ or ‘B’ only

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:19:40.499258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2966fd8d-7156-4a75-887e-f9bfc63802e3 · outbound

This paper cites an unresolved cited work.

Efficient Online RFT with Plug-and-Play LLM Judges: Unlocking State-of-the-Art Performance Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:19:39.929275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 07f5747b-7a14-49e1-9a5b-c3a911624fd7 · outbound

This paper cites A” or “B.

Efficient Online RFT with Plug-and-Play LLM Judges: Unlocking State-of-the-Art Performance A” or “B

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:19:40.160618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 008d4bbd-9253-4423-838d-373d19c01c03 · outbound

This paper cites Online and Offline Reinforcement Learning by Planning with a Learned Model,.

Efficient Online RFT with Plug-and-Play LLM Judges: Unlocking State-of-the-Art Performance Online and Offline Reinforcement Learning by Planning with a Learned Model,

Reference 10

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T10:19:37.491599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8bb93105-9cad-4e16-aae9-7de035cd3255 · outbound

This paper cites Direct Preference Optimization: Your Language Model is Secretly a Reward Model Oral,.

Efficient Online RFT with Plug-and-Play LLM Judges: Unlocking State-of-the-Art Performance Direct Preference Optimization: Your Language Model is Secretly a Reward Model Oral,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:19:39.631521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4230bc2a-447e-413d-b868-637db43f9f7d · outbound

This paper cites A Survey of Reinforcement Learning from Human Feedback,.

Efficient Online RFT with Plug-and-Play LLM Judges: Unlocking State-of-the-Art Performance A Survey of Reinforcement Learning from Human Feedback,

Reference 12

Resolution: verified exact; doi, observed 2026-08-07T10:19:36.981902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 52201413-e62d-4376-99d4-f540ac16dbc2 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Efficient Online RFT with Plug-and-Play LLM Judges: Unlocking State-of-the-Art Performance DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:33.848792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 650048c6-1110-4069-93d1-b38e3de8259a · outbound

This paper cites Security and Privacy Challenges of Large Language Models: A Survey,.

Efficient Online RFT with Plug-and-Play LLM Judges: Unlocking State-of-the-Art Performance Security and Privacy Challenges of Large Language Models: A Survey,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:33.926564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f9e4aee-6743-4532-8a83-70b6c4ab6cb9 · outbound

This paper cites A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions,.

Efficient Online RFT with Plug-and-Play LLM Judges: Unlocking State-of-the-Art Performance A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:34.046186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a466f73-917c-48b2-9f60-e20479759f8d · outbound

This paper cites Qwen2.5 Technical Report.

Efficient Online RFT with Plug-and-Play LLM Judges: Unlocking State-of-the-Art Performance Qwen2.5 Technical Report

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:34.135241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 008311f0-f88e-4e7a-a34e-34c079fed166 · outbound

This paper cites Self-rewarding language models,.

Efficient Online RFT with Plug-and-Play LLM Judges: Unlocking State-of-the-Art Performance Self-rewarding language models,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:19:39.400464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d4f62995-bf80-46ad-bb75-e2a1664aeb75 · outbound

This paper cites RLAIF: Scaling Reinforcement Learning from Human Feedback with AI Feedback,.

Efficient Online RFT with Plug-and-Play LLM Judges: Unlocking State-of-the-Art Performance RLAIF: Scaling Reinforcement Learning from Human Feedback with AI Feedback,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:19:39.116623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3cdbe7f3-4c87-41ac-8be6-f70283a8170b · outbound

This paper cites Evaluating Text -to-Visual Generation with Image -to-Text Generation,.

Efficient Online RFT with Plug-and-Play LLM Judges: Unlocking State-of-the-Art Performance Evaluating Text -to-Visual Generation with Image -to-Text Generation,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:34.415108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e689453-8921-4ec3-85a3-8d38b9adadda · outbound

This paper cites more proficient.

Efficient Online RFT with Plug-and-Play LLM Judges: Unlocking State-of-the-Art Performance more proficient

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:19:41.034025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 50ef29fd-e9e9-4a45-bdb5-a57243e42712 · outbound

This paper cites Training Language Models to Follow Instructions with Human Feedback,.

Efficient Online RFT with Plug-and-Play LLM Judges: Unlocking State-of-the-Art Performance Training Language Models to Follow Instructions with Human Feedback,

Reference 21

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T10:19:37.289842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b3f198b2-d25f-4a79-afe5-066bbddecdb4 · outbound

This paper cites Reinforcement Learning Enhanced LLMs: A Survey.

Efficient Online RFT with Plug-and-Play LLM Judges: Unlocking State-of-the-Art Performance Reinforcement Learning Enhanced LLMs: A Survey

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:34.611764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27d2466d-933e-4b88-ad92-f2b3074f42d3 · outbound

This paper cites Survey on Large Language Model -Enhanced Reinforcement Learning: Concept, Taxonomy, and Methods,.

Efficient Online RFT with Plug-and-Play LLM Judges: Unlocking State-of-the-Art Performance Survey on Large Language Model -Enhanced Reinforcement Learning: Concept, Taxonomy, and Methods,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:34.727234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74ae2aea-c188-4db3-8f8c-e0aa6aeca16a · outbound

This paper cites On-Device Qwen2.5: Efficient LLM Inference with Model Compression and Hardware Acceleration.

Efficient Online RFT with Plug-and-Play LLM Judges: Unlocking State-of-the-Art Performance On-Device Qwen2.5: Efficient LLM Inference with Model Compression and Hardware Acceleration

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:34.793339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ed344d8-cc99-4521-8a1f-236530c45dda · outbound

This paper cites Human-like Summarization Evaluation with ChatGPT.

Efficient Online RFT with Plug-and-Play LLM Judges: Unlocking State-of-the-Art Performance Human-like Summarization Evaluation with ChatGPT

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:34.827221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d96a1e9-2f2a-4270-9eba-9578b9740e94 · outbound

This paper cites Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge.

Efficient Online RFT with Plug-and-Play LLM Judges: Unlocking State-of-the-Art Performance Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:34.917509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be93dd90-2e75-4460-9faa-018aaa2009e0 · outbound

This paper cites LLM-as-a-Judge & Reward Model: What They Can and Cannot Do.

Efficient Online RFT with Plug-and-Play LLM Judges: Unlocking State-of-the-Art Performance LLM-as-a-Judge & Reward Model: What They Can and Cannot Do

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:34.977810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0a10ede-dbbe-42c8-b22f-a4d359ab22be · outbound

This paper cites RLAIF vs. RLHF: scaling reinforcement learning from human feedback with AI feedback,.

Efficient Online RFT with Plug-and-Play LLM Judges: Unlocking State-of-the-Art Performance RLAIF vs. RLHF: scaling reinforcement learning from human feedback with AI feedback,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:19:38.869784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fd153a62-f658-4573-8f88-c7e1ac52c102 · outbound

This paper cites Large Language Models Can Self -Improve,.

Efficient Online RFT with Plug-and-Play LLM Judges: Unlocking State-of-the-Art Performance Large Language Models Can Self -Improve,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:35.096249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8bac4ca2-9414-4a58-9b45-926eb8f81762 · outbound

This paper cites Advancing Large Language Model Attribution through Self-Improving,.

Efficient Online RFT with Plug-and-Play LLM Judges: Unlocking State-of-the-Art Performance Advancing Large Language Model Attribution through Self-Improving,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:19:38.691907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7c9c9731-28a4-45d0-914a-91332507933e · outbound

This paper cites Systematic Evaluation of LLM-as-a-Judge in LLM Alignment Tasks: Explainable Metrics and Diverse Prompt Templates.

Efficient Online RFT with Plug-and-Play LLM Judges: Unlocking State-of-the-Art Performance Systematic Evaluation of LLM-as-a-Judge in LLM Alignment Tasks: Explainable Metrics and Diverse Prompt Templates

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:35.386305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ed7257e-2d9d-42ea-b02f-56b633518d3b · outbound

This paper cites Can LLM be a Personalized Judge?,.

Efficient Online RFT with Plug-and-Play LLM Judges: Unlocking State-of-the-Art Performance Can LLM be a Personalized Judge?,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:35.466565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 485880b4-b338-414d-b015-92fa35054ec6 · outbound

This paper cites ReST-MCTS*: LLM Self- Training via Process Reward Guided Tree Search,.

Efficient Online RFT with Plug-and-Play LLM Judges: Unlocking State-of-the-Art Performance ReST-MCTS*: LLM Self- Training via Process Reward Guided Tree Search,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:19:38.522228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 56da1a36-06d1-4eee-a34c-2ce65173a5a5 · outbound

This paper cites Self-Play Preference Optimization for Language Model Alignment,.

Efficient Online RFT with Plug-and-Play LLM Judges: Unlocking State-of-the-Art Performance Self-Play Preference Optimization for Language Model Alignment,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:19:38.280897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 599d70aa-640b-4ce5-836e-8eaff13c67e2 · outbound

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

Efficient Online RFT with Plug-and-Play LLM Judges: Unlocking State-of-the-Art Performance Training language models to follow instructions with human feedback,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:19:37.785037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3bcf55f9-03af-4a07-bc39-bd4c46f401cb · outbound

This paper cites Constitutional AI: Harmlessness from AI Feedback.

Efficient Online RFT with Plug-and-Play LLM Judges: Unlocking State-of-the-Art Performance Constitutional AI: Harmlessness from AI Feedback

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:35.928792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b18f9567-20f9-477a-9a02-cfd1064c7b01 · outbound

This paper cites RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback.

Efficient Online RFT with Plug-and-Play LLM Judges: Unlocking State-of-the-Art Performance RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:35.995780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99d79685-81e9-4773-abbd-48ea36bbf58a · outbound

This paper cites Efficient Memory Management for Large Language Model Serving with PagedAttention.

Efficient Online RFT with Plug-and-Play LLM Judges: Unlocking State-of-the-Art Performance Efficient Memory Management for Large Language Model Serving with PagedAttention

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:36.068399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e97fd2f1-6d6e-44c7-9cc1-9fcf64545a28 · outbound

This paper cites RewardBench: Evaluating Reward Models for Language Modeling.

Efficient Online RFT with Plug-and-Play LLM Judges: Unlocking State-of-the-Art Performance RewardBench: Evaluating Reward Models for Language Modeling

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:36.134562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3be384a4-a619-4978-9f80-881a09551d7f · outbound

This paper cites Iterative Reasoning Preference Optimization,.

Efficient Online RFT with Plug-and-Play LLM Judges: Unlocking State-of-the-Art Performance Iterative Reasoning Preference Optimization,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:19:37.604055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 16b69448-1360-4ae8-affb-5f829c56681e · outbound

This paper cites Available: https://neurips.cc/virtual/2024/108142.

Efficient Online RFT with Plug-and-Play LLM Judges: Unlocking State-of-the-Art Performance Available: https://neurips.cc/virtual/2024/108142

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:19:38.000462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b797fe01-8b85-4336-b0b0-c115757d42f8 · outbound

This paper cites an unresolved cited work.

Efficient Online RFT with Plug-and-Play LLM Judges: Unlocking State-of-the-Art Performance Unresolved cited work

Reference 3836

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.