Paper Citation Record · LEDGER

Large Language Models Reasoning Abilities Under Non-Ideal Conditions After RL-Fine-Tuning

As of 14 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 3 inbound Pith citation observations for arXiv:2508.04848.

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

pith.paper-citation-record.v1
2508.04848 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T23:49:05.708180Z

measured 24 of 24 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T18:23:52.536677Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T16:01:22.618150Z

Reference resolution

21 of 21 outbound references displayed

verified exact1
verified fuzzy0
unresolved17
parse uncertain0
malformed identifier0
metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4cd5b0c6-2b61-4a8b-802e-9cd4f7868183 · outbound

This paper cites Evaluating LLMs and Prompting Strategies for Automated Hardware Diagnosis from Textual User-Reports.

Large Language Models Reasoning Abilities Under Non-Ideal Conditions After RL-Fine-Tuning Evaluating LLMs and Prompting Strategies for Automated Hardware Diagnosis from Textual User-Reports

Reference 2

Resolution: metadata mismatch; local_arxiv, observed 2026-08-05T23:49:07.511703Z

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.

Observation 26e2ce09-01a4-4690-ac40-280bd2d77a25 · outbound

This paper cites an unresolved cited work.

Large Language Models Reasoning Abilities Under Non-Ideal Conditions After RL-Fine-Tuning Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-05T23:49:07.820130Z

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.

Observation 3a6443b6-1c35-4fb7-a39b-93fcaba8ab0b · outbound

This paper cites arXiv preprint arXiv:2503.12434.

Large Language Models Reasoning Abilities Under Non-Ideal Conditions After RL-Fine-Tuning arXiv preprint arXiv:2503.12434

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T23:49:02.715209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc53431a-943a-4af7-afb6-ffb268577a7a · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Large Language Models Reasoning Abilities Under Non-Ideal Conditions After RL-Fine-Tuning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T23:49:02.929694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eed7fb36-b81f-4e42-afde-45576bac2ccc · outbound

This paper cites VinePPO: Refining Credit Assignment in RL Training of LLMs.

Large Language Models Reasoning Abilities Under Non-Ideal Conditions After RL-Fine-Tuning VinePPO: Refining Credit Assignment in RL Training of LLMs

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T23:49:03.216906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c089ee1b-f9ea-4421-8d1d-ce90170f4779 · outbound

This paper cites LLM Post-Training: A Deep Dive into Reasoning Large Language Models.

Large Language Models Reasoning Abilities Under Non-Ideal Conditions After RL-Fine-Tuning LLM Post-Training: A Deep Dive into Reasoning Large Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T23:49:03.474747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5069f2cf-b853-4e39-a927-395baf2b1c31 · outbound

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

Large Language Models Reasoning Abilities Under Non-Ideal Conditions After RL-Fine-Tuning DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T23:49:04.041085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a099c1a-ee77-4545-bebb-118df17d7438 · outbound

This paper cites Using Causality for Enhanced Prediction of Web Traffic Time Series.

Large Language Models Reasoning Abilities Under Non-Ideal Conditions After RL-Fine-Tuning Using Causality for Enhanced Prediction of Web Traffic Time Series

Reference 14

Resolution: metadata mismatch; local_arxiv, observed 2026-08-05T23:49:06.723730Z

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.

Observation 9453a80a-4f89-45ac-adb3-85b33cfdf8d6 · outbound

This paper cites What is the Alignment Objective of GRPO?.

Large Language Models Reasoning Abilities Under Non-Ideal Conditions After RL-Fine-Tuning What is the Alignment Objective of GRPO?

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T23:49:04.813342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da8eb2be-757c-408d-9572-55982b3900b1 · outbound

This paper cites Monte Carlo Tree Search Boosts Reasoning via Iterative Preference Learning.

Large Language Models Reasoning Abilities Under Non-Ideal Conditions After RL-Fine-Tuning Monte Carlo Tree Search Boosts Reasoning via Iterative Preference Learning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-05T23:49:05.025670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4dd15b6d-ed00-430b-b9bf-739dc07bb09e · outbound

This paper cites An Expectation-Maximization Perspective on Reinforcement Learning for LLM Reasoning.

Large Language Models Reasoning Abilities Under Non-Ideal Conditions After RL-Fine-Tuning An Expectation-Maximization Perspective on Reinforcement Learning for LLM Reasoning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-05T23:49:05.199743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b51dbaea-cabf-458e-bd33-21a885642e6d · outbound

This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.

Large Language Models Reasoning Abilities Under Non-Ideal Conditions After RL-Fine-Tuning DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T23:49:05.395955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8197227e-d83e-46e8-b5bb-5485649366a8 · outbound

This paper cites arXiv preprint arXiv:2505.17508.

Large Language Models Reasoning Abilities Under Non-Ideal Conditions After RL-Fine-Tuning arXiv preprint arXiv:2505.17508

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-05T23:49:05.541952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a413b4d-c7e9-4a91-b607-8b6cf0a66171 · outbound

This paper cites Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design.

Large Language Models Reasoning Abilities Under Non-Ideal Conditions After RL-Fine-Tuning Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T23:49:05.708180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5a07c9f-a069-4938-9dbe-c3d61df449e2 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Large Language Models Reasoning Abilities Under Non-Ideal Conditions After RL-Fine-Tuning Proximal Policy Optimization Algorithms

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-05T23:49:03.820612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9fbee50-7381-4d9e-9880-7e86a8620486 · outbound

This paper cites A Generic Method for Fine-grained Category Discovery in Natural Language Texts.

Large Language Models Reasoning Abilities Under Non-Ideal Conditions After RL-Fine-Tuning A Generic Method for Fine-grained Category Discovery in Natural Language Texts

Reference 2019

Resolution: verified exact; local_arxiv, observed 2026-08-05T23:49:07.013350Z

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.

Observation 10b799cd-fa19-409b-8e5e-13ff2688b4a9 · outbound

This paper cites Measuring Massive Multitask Language Understanding.

Large Language Models Reasoning Abilities Under Non-Ideal Conditions After RL-Fine-Tuning Measuring Massive Multitask Language Understanding

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-05T23:49:03.062950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9fdfde4a-26c7-4548-9b83-561e8375ee4e · outbound

This paper cites Paint4Poem: A Dataset for Artistic Visualization of Classical Chinese Poems.

Large Language Models Reasoning Abilities Under Non-Ideal Conditions After RL-Fine-Tuning Paint4Poem: A Dataset for Artistic Visualization of Classical Chinese Poems

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-05T23:49:03.658162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8585f12-a48c-4d6d-b420-834437982951 · outbound

This paper cites Anti-Overestimation Dialogue Policy Learning for Task-Completion Dialogue System.

Large Language Models Reasoning Abilities Under Non-Ideal Conditions After RL-Fine-Tuning Anti-Overestimation Dialogue Policy Learning for Task-Completion Dialogue System

Reference 2022

Resolution: metadata mismatch; local_arxiv, observed 2026-08-05T23:49:06.307243Z

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.

Observation 22c06452-16ca-4c32-b0ab-d55ec42d5471 · outbound

This paper cites Meta-Models: An Architecture for Decoding LLM Behaviors Through Interpreted Embeddings and Natural Language.

Large Language Models Reasoning Abilities Under Non-Ideal Conditions After RL-Fine-Tuning Meta-Models: An Architecture for Decoding LLM Behaviors Through Interpreted Embeddings and Natural Language

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-05T23:49:02.409134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c9329a9-57f5-468f-aeec-0c66a4b91d01 · outbound

This paper cites Qwen2.5-VL Technical Report.

Large Language Models Reasoning Abilities Under Non-Ideal Conditions After RL-Fine-Tuning Qwen2.5-VL Technical Report

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-05T23:49:02.173108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation f869d388-280c-4d69-8949-c4af9c297b9e · inbound

Using Causality for Enhanced Prediction of Web Traffic Time Series cites this paper.

Using Causality for Enhanced Prediction of Web Traffic Time Series Large Language Models Reasoning Abilities Under Non-Ideal Conditions After RL-Fine-Tuning

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-09T18:23:52.536677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b426df3d-129f-4e23-a706-9cb26d330ce0 · inbound

Persistent Visual Memory: Sustaining Perception for Deep Generation in LVLMs cites this paper.

Persistent Visual Memory: Sustaining Perception for Deep Generation in LVLMs Large Language Models Reasoning Abilities Under Non-Ideal Conditions After RL-Fine-Tuning

Reference 67

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:01:22.621931Z

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.

Observation b60805a6-808a-4981-b738-8bea31069308 · inbound

Persistent Visual Memory: Sustaining Perception for Deep Generation in LVLMs cites this paper.

Persistent Visual Memory: Sustaining Perception for Deep Generation in LVLMs Large Language Models Reasoning Abilities Under Non-Ideal Conditions After RL-Fine-Tuning

Reference 67

Resolution: verified exact; arxiv_id, observed 2026-05-11T01:50:51.662264Z

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.