Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T04:37:30.520795Z
Paper Citation Record · LEDGER
Reinforcement learning fine-tuning of language model for instruction following and math reasoning
As of 23 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 1 inbound Pith citation observation for arXiv:2506.21560.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T00:39:40.924883Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-12T00:39:43.095193Z
Reference resolution
16 of 16 outbound references displayed
- verified exact0
- verified fuzzy2
- unresolved13
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 67b22cb6-de3c-4a24-b323-b1a84269d16e · outbound
This paper cites arXiv preprint arXiv:2412.15287 (2024).
Reinforcement learning fine-tuning of language model for instruction following and math reasoning arXiv preprint arXiv:2412.15287 (2024)
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:37:29.512978Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b4301b55-41a7-4964-a3b9-40574ff41443 · outbound
This paper cites Stream of Search (SoS): Learning to Search in Language.
Reinforcement learning fine-tuning of language model for instruction following and math reasoning Stream of Search (SoS): Learning to Search in Language
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:37:29.746418Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3b9a162a-60ac-446a-8ddc-30c8f0d508da · outbound
This paper cites RLEF: Grounding Code LLMs in Execution Feedback with Reinforcement Learning.
Reinforcement learning fine-tuning of language model for instruction following and math reasoning RLEF: Grounding Code LLMs in Execution Feedback with Reinforcement Learning
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:37:29.805270Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 46b454a4-95ff-474f-bee4-d78c48d97283 · outbound
This paper cites Qwen2.5-Coder Technical Report.
Reinforcement learning fine-tuning of language model for instruction following and math reasoning Qwen2.5-Coder Technical Report
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:37:29.960575Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 59233e2a-8955-4a6b-a21e-f05e28ca516c · outbound
This paper cites GPT-4o System Card.
Reinforcement learning fine-tuning of language model for instruction following and math reasoning GPT-4o System Card
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:37:30.042682Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9e941f99-4fb5-4202-af35-0900f6a5caa0 · outbound
This paper cites Self-Refine: Iterative Refinement with Self-Feedback.
Reinforcement learning fine-tuning of language model for instruction following and math reasoning Self-Refine: Iterative Refinement with Self-Feedback
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:37:30.178554Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 259ad9ec-5d56-40a1-b865-db09449d6c89 · outbound
This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.
Reinforcement learning fine-tuning of language model for instruction following and math reasoning Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:37:30.234365Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1ac134b5-0f06-4d92-bcf6-248a6fe79e99 · outbound
This paper cites DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter.
Reinforcement learning fine-tuning of language model for instruction following and math reasoning DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:37:30.328965Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a2596d1b-9eaa-4455-a10c-3bd2053ee55f · outbound
This paper cites Advances in Neural Information Processing Systems 36 (2023), 68539–68551.
Reinforcement learning fine-tuning of language model for instruction following and math reasoning Advances in Neural Information Processing Systems 36 (2023), 68539–68551
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:37:30.992778Z
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.
Observation 640b320e-fa86-4451-90c8-29f6488264bd · outbound
This paper cites ALJP: An Arabic Legal Judgment Prediction in Personal Status Cases Using Machine Learning Models.
Reinforcement learning fine-tuning of language model for instruction following and math reasoning ALJP: An Arabic Legal Judgment Prediction in Personal Status Cases Using Machine Learning Models
Reference 15
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-07T04:37:30.687681Z
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.
Observation 366625d7-fecf-4096-be1e-d31814a019e7 · outbound
This paper cites Least-to-Most Prompting Enables Complex Reasoning in Large Language Models.
Reinforcement learning fine-tuning of language model for instruction following and math reasoning Least-to-Most Prompting Enables Complex Reasoning in Large Language Models
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:37:30.520795Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 02b4070b-e6d0-4dc9-9a42-fcc2995941ff · outbound
This paper cites In Proceedings of the 2019 conference of the North American chapter of the association for computational linguistics: human language technologies, volume 1 (long and short papers).
Reinforcement learning fine-tuning of language model for instruction following and math reasoning In Proceedings of the 2019 conference of the North American chapter of the association for computational linguistics: human language technologies, volume 1 (long and short papers)
Reference 2019
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:37:31.172059Z
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.
Observation 5a2ca701-2b9b-4b81-b3e4-abec734aa4bc · outbound
This paper cites DeBERTa: Decoding-enhanced BERT with Disentangled Attention.
Reinforcement learning fine-tuning of language model for instruction following and math reasoning DeBERTa: Decoding-enhanced BERT with Disentangled Attention
Reference 2020
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:37:29.907111Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 787ecde3-dc8e-4df0-b6c3-4c3626bb138b · outbound
This paper cites UltraFeedback: Boosting Language Models with Scaled AI Feedback.
Reinforcement learning fine-tuning of language model for instruction following and math reasoning UltraFeedback: Boosting Language Models with Scaled AI Feedback
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:37:29.608840Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5a339a03-76b0-496e-9880-10cae60cd3d1 · outbound
This paper cites Back to Basics: Revisiting REINFORCE Style Optimization for Learning from Human Feedback in LLMs.
Reinforcement learning fine-tuning of language model for instruction following and math reasoning Back to Basics: Revisiting REINFORCE Style Optimization for Learning from Human Feedback in LLMs
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:37:29.438985Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 072ae991-3bc8-4471-9ed3-6a86b39a3cf6 · outbound
This paper cites Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning.
Reinforcement learning fine-tuning of language model for instruction following and math reasoning Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:37:30.121543Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation 8059ffd7-6d45-4600-a3c4-3192ececd1f8 · inbound
Ground-Truth Neighborhood Regularization for Reinforcement Learning Post-Training of Time Series Foundation Models cites this paper.
Ground-Truth Neighborhood Regularization for Reinforcement Learning Post-Training of Time Series Foundation Models Reinforcement learning fine-tuning of language model for instruction following and math reasoning
Reference 142
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-12T00:39:43.100701Z
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.