Paper Citation Record · LEDGER

Lessons from Training Grounded LLMs with Verifiable Rewards

As of 7 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 2 inbound Pith citation observations for arXiv:2506.15522.

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

pith.paper-citation-record.v1
2506.15522 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:59:49.564233Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T08:07:34.112333Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T11:09:47.204727Z

Reference resolution

17 of 17 outbound references displayed

verified exact0
verified fuzzy2
unresolved15
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 35225b90-78d7-4752-be6b-ec1e6cd2e9f6 · outbound

This paper cites I apologize, but I couldn't find an answer to your question in the search results.

Lessons from Training Grounded LLMs with Verifiable Rewards I apologize, but I couldn't find an answer to your question in the search results

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:59:50.547041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0230525b-aa15-4555-b9e9-234d6bde6b96 · outbound

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

Lessons from Training Grounded LLMs with Verifiable Rewards DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T23:59:48.123573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45617367-ef31-4fb2-9d91-6a7148d34bca · outbound

This paper cites Training Language Models to Generate Text with Citations via Fine-grained Rewards.

Lessons from Training Grounded LLMs with Verifiable Rewards Training Language Models to Generate Text with Citations via Fine-grained Rewards

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T23:59:48.358493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3daa139d-305f-433a-ab13-407f4c4408fc · outbound

This paper cites RAG-Star: Enhancing Deliberative Reasoning with Retrieval Augmented Verification and Refinement.

Lessons from Training Grounded LLMs with Verifiable Rewards RAG-Star: Enhancing Deliberative Reasoning with Retrieval Augmented Verification and Refinement

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T23:59:48.438690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 300387b0-b5d7-485e-a35a-6b66106dc482 · outbound

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

Lessons from Training Grounded LLMs with Verifiable Rewards Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T23:59:48.887449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7343cb3-fb7d-42ca-b9e2-6bbd434ee48e · outbound

This paper cites Attribute First, then Generate: Locally-attributable Grounded Text Generation.

Lessons from Training Grounded LLMs with Verifiable Rewards Attribute First, then Generate: Locally-attributable Grounded Text Generation

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T23:59:48.945371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38d883f4-49ef-47d8-9173-84b1fcecba0e · outbound

This paper cites Qwen3 Technical Report.

Lessons from Training Grounded LLMs with Verifiable Rewards Qwen3 Technical Report

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T23:59:49.122177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a973654-1c0c-499d-bdfe-82e746fde4a2 · outbound

This paper cites Ground Every Sentence: Improving Retrieval-Augmented LLMs with Interleaved Reference-Claim Generation.

Lessons from Training Grounded LLMs with Verifiable Rewards Ground Every Sentence: Improving Retrieval-Augmented LLMs with Interleaved Reference-Claim Generation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T23:59:49.203531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc6b8e4e-2b09-48c3-8f94-c45a11e00523 · outbound

This paper cites RECOMP: Improving Retrieval-Augmented LMs with Compression and Selective Augmentation.

Lessons from Training Grounded LLMs with Verifiable Rewards RECOMP: Improving Retrieval-Augmented LMs with Compression and Selective Augmentation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T23:59:49.286759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18acf74a-00a1-4c3b-9ccc-2daf31e15d24 · outbound

This paper cites Effective Large Language Model Adaptation for Improved Grounding and Citation Generation.

Lessons from Training Grounded LLMs with Verifiable Rewards Effective Large Language Model Adaptation for Improved Grounding and Citation Generation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T23:59:49.340475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 125741e5-9e1a-47bc-8313-69b1c8f423f7 · outbound

This paper cites Making Retrieval-Augmented Language Models Robust to Irrelevant Context.

Lessons from Training Grounded LLMs with Verifiable Rewards Making Retrieval-Augmented Language Models Robust to Irrelevant Context

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T23:59:49.441945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d956c89f-400c-4804-9a74-e5be51119b0c · outbound

This paper cites In Webber, B.; Cohn, T.; He, Y .; and Liu, Y ., eds.,Proceedings of the 2020 Confer- ence on Empirical Methods in Natural Language Processing (EMNLP), 6769–6781.

Lessons from Training Grounded LLMs with Verifiable Rewards In Webber, B.; Cohn, T.; He, Y .; and Liu, Y ., eds.,Proceedings of the 2020 Confer- ence on Empirical Methods in Natural Language Processing (EMNLP), 6769–6781

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:59:50.767047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ee134af0-4c9d-4123-91d5-14d8f7f6ab1d · outbound

This paper cites Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.

Lessons from Training Grounded LLMs with Verifiable Rewards Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-06T23:59:48.657029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c66798b-d9aa-4d47-8cd1-81052fcb18f4 · outbound

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

Lessons from Training Grounded LLMs with Verifiable Rewards Training language models to follow instructions with human feedback

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-06T23:59:48.756238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96fcc4ea-7249-48d0-9135-ca1ca25c81ce · outbound

This paper cites Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection.

Lessons from Training Grounded LLMs with Verifiable Rewards Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T23:59:47.915712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9fe83f6a-6464-4523-bb30-8bd7adb02a88 · outbound

This paper cites The Llama 3 Herd of Models.

Lessons from Training Grounded LLMs with Verifiable Rewards The Llama 3 Herd of Models

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T23:59:48.240829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb49ac51-e732-439e-9968-a068c4997491 · outbound

This paper cites ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning.

Lessons from Training Grounded LLMs with Verifiable Rewards ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-06T23:59:47.976127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 49264500-90d5-4536-82ab-ac3512717904 · inbound

Position: The Hidden Costs and Measurement Gaps of Reinforcement Learning with Verifiable Rewards cites this paper.

Position: The Hidden Costs and Measurement Gaps of Reinforcement Learning with Verifiable Rewards Lessons from Training Grounded LLMs with Verifiable Rewards

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-18T14:26:28.297833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dc08d080-03c2-41cf-88a2-737c511970a8 · inbound

Do LLM Attribution Metrics Transfer? Auditing Retrieval-Augmented Generation Evaluation Across Datasets and Constructs cites this paper.

Do LLM Attribution Metrics Transfer? Auditing Retrieval-Augmented Generation Evaluation Across Datasets and Constructs Lessons from Training Grounded LLMs with Verifiable Rewards

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-07-04T11:09:47.206413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.