Paper Citation Record · LEDGER

Agent-RLVR: Training Software Engineering Agents via Guidance and Environment Rewards

As of 20 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 19 inbound Pith citation observations for arXiv:2506.11425.

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

pith.paper-citation-record.v1
2506.11425 v2

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:16:08.504844Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T04:39:03.647525Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T20:18:55.557008Z

Reference resolution

29 of 29 outbound references displayed

verified exact0
verified fuzzy3
unresolved26
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2e8a4e8c-3519-4492-9a04-355aaf229ffb · outbound

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

Agent-RLVR: Training Software Engineering Agents via Guidance and Environment Rewards DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T04:16:08.416963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2be21a07-10c6-4a7e-8a2c-de4d7ffe1fbd · outbound

This paper cites Jimenez, John Yang, Leyton Ho, Tejal Patwardhan, Kevin Liu, and Aleksander Madry.

Agent-RLVR: Training Software Engineering Agents via Guidance and Environment Rewards Jimenez, John Yang, Leyton Ho, Tejal Patwardhan, Kevin Liu, and Aleksander Madry

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:16:08.792345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 26e9f587-880d-4a73-af48-7edce2138133 · outbound

This paper cites Ziegler, Ryan Lowe, Chelsea V oss, Alec Radford, Dario Amodei, and Paul Francis Christiano.

Agent-RLVR: Training Software Engineering Agents via Guidance and Environment Rewards Ziegler, Ryan Lowe, Chelsea V oss, Alec Radford, Dario Amodei, and Paul Francis Christiano

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:16:08.782440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9ef3b7a6-547a-4159-8202-4cc7b3f3955b · outbound

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

Agent-RLVR: Training Software Engineering Agents via Guidance and Environment Rewards Training language models to follow instructions with human feedback

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T04:16:08.427531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52a0bac0-0a79-48b3-9954-97d235ffae56 · outbound

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

Agent-RLVR: Training Software Engineering Agents via Guidance and Environment Rewards Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T04:16:08.431125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 648ece32-822b-46ac-bbb7-c8210ea004b3 · outbound

This paper cites Program Synthesis with Large Language Models.

Agent-RLVR: Training Software Engineering Agents via Guidance and Environment Rewards Program Synthesis with Large Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T04:16:08.434730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 296b8740-ec45-45a5-ac84-fbdb4c8ad79e · outbound

This paper cites Measuring Coding Challenge Competence With APPS.

Agent-RLVR: Training Software Engineering Agents via Guidance and Environment Rewards Measuring Coding Challenge Competence With APPS

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T04:16:08.438286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0d8936d-8db1-40fc-b6db-a3e511e0c6b0 · outbound

This paper cites Planning In Natural Language Improves LLM Search For Code Generation.

Agent-RLVR: Training Software Engineering Agents via Guidance and Environment Rewards Planning In Natural Language Improves LLM Search For Code Generation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T04:16:08.441362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4315de77-c1db-4f60-8992-5305968fe354 · outbound

This paper cites SWE-bench: Can Language Models Resolve Real-World GitHub Issues?.

Agent-RLVR: Training Software Engineering Agents via Guidance and Environment Rewards SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T04:16:08.444325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9d2ea16-8ced-45e5-b3b9-8b4c7e20e7a4 · outbound

This paper cites Training Software Engineering Agents and Verifiers with SWE-Gym.

Agent-RLVR: Training Software Engineering Agents via Guidance and Environment Rewards Training Software Engineering Agents and Verifiers with SWE-Gym

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T04:16:08.447400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca8a7a1b-1699-4885-a4f5-e1e89984aa7a · outbound

This paper cites STar: Bootstrapping reasoning with reasoning.

Agent-RLVR: Training Software Engineering Agents via Guidance and Environment Rewards STar: Bootstrapping reasoning with reasoning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T04:16:08.450383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a744ce8-b809-4fce-8d52-db70b358bad4 · outbound

This paper cites Reinforced Self-Training (ReST) for Language Modeling.

Agent-RLVR: Training Software Engineering Agents via Guidance and Environment Rewards Reinforced Self-Training (ReST) for Language Modeling

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T04:16:08.453021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation beb20196-bca5-4497-ad80-500001be350b · outbound

This paper cites Agentless: Demystifying LLM-based Software Engineering Agents.

Agent-RLVR: Training Software Engineering Agents via Guidance and Environment Rewards Agentless: Demystifying LLM-based Software Engineering Agents

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T04:16:08.456160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1326b1c1-5622-47b3-b55f-f8146d15cacb · outbound

This paper cites Xu, Xiangru Tang, Mingchen Zhuge, Jiayi Pan, Yueqi Song, Bowen Li, Jaskirat Singh, Hoang H.

Agent-RLVR: Training Software Engineering Agents via Guidance and Environment Rewards Xu, Xiangru Tang, Mingchen Zhuge, Jiayi Pan, Yueqi Song, Bowen Li, Jaskirat Singh, Hoang H

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:16:08.767942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0d47d712-a232-45d9-8689-ce8afc3db309 · outbound

This paper cites SWE-Fixer: Training Open-Source LLMs for Effective and Efficient GitHub Issue Resolution.

Agent-RLVR: Training Software Engineering Agents via Guidance and Environment Rewards SWE-Fixer: Training Open-Source LLMs for Effective and Efficient GitHub Issue Resolution

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T04:16:08.461930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23dfffdb-63d4-418f-819d-d61496ea7326 · outbound

This paper cites SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution.

Agent-RLVR: Training Software Engineering Agents via Guidance and Environment Rewards SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T04:16:08.464749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1925b323-2750-4627-87d1-38c89723b7df · outbound

This paper cites A Careful Examination of Large Language Model Performance on Grade School Arithmetic.

Agent-RLVR: Training Software Engineering Agents via Guidance and Environment Rewards A Careful Examination of Large Language Model Performance on Grade School Arithmetic

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T04:16:08.467524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e6cc14a-eafc-44b5-8a91-32cb06d268a9 · outbound

This paper cites Tulu 3: Pushing Frontiers in Open Language Model Post-Training.

Agent-RLVR: Training Software Engineering Agents via Guidance and Environment Rewards Tulu 3: Pushing Frontiers in Open Language Model Post-Training

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T04:16:08.471002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28a93968-05ef-4510-b354-23379f10466e · outbound

This paper cites DeepSeek-V3 Technical Report.

Agent-RLVR: Training Software Engineering Agents via Guidance and Environment Rewards DeepSeek-V3 Technical Report

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T04:16:08.473951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c9ef027-3deb-4379-bb19-94e1e6950ccf · outbound

This paper cites Commit0: Library Generation from Scratch.

Agent-RLVR: Training Software Engineering Agents via Guidance and Environment Rewards Commit0: Library Generation from Scratch

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T04:16:08.477293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccac6345-da87-4ac5-a2ed-e3325ea68349 · outbound

This paper cites SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering.

Agent-RLVR: Training Software Engineering Agents via Guidance and Environment Rewards SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T04:16:08.480495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76698c99-b65f-464a-9946-d155b06aff8d · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

Agent-RLVR: Training Software Engineering Agents via Guidance and Environment Rewards ReAct: Synergizing Reasoning and Acting in Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T04:16:08.483469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 110172c0-7cf8-4510-8de3-9f3642ec23ee · outbound

This paper cites Proximal Policy Optimization Algorithms.

Agent-RLVR: Training Software Engineering Agents via Guidance and Environment Rewards Proximal Policy Optimization Algorithms

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T04:16:08.486283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 228809fc-4eca-4d16-96c0-1a1a8348cfe5 · outbound

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

Agent-RLVR: Training Software Engineering Agents via Guidance and Environment Rewards DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T04:16:08.489630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e082b267-d4f3-424e-adf6-f4a1d9132bfd · outbound

This paper cites OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments.

Agent-RLVR: Training Software Engineering Agents via Guidance and Environment Rewards OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T04:16:08.492855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4f109a2-c72f-48c7-b4d2-63befd7472aa · outbound

This paper cites Mind2Web: Towards a Generalist Agent for the Web.

Agent-RLVR: Training Software Engineering Agents via Guidance and Environment Rewards Mind2Web: Towards a Generalist Agent for the Web

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T04:16:08.495825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05cff3f7-a161-4d6c-9da5-72e6cb9872cf · outbound

This paper cites ToolComp: A Multi-Tool Reasoning & Process Supervision Benchmark.

Agent-RLVR: Training Software Engineering Agents via Guidance and Environment Rewards ToolComp: A Multi-Tool Reasoning & Process Supervision Benchmark

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T04:16:08.498785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83c58c56-16f3-4c58-97a3-5084691e6531 · outbound

This paper cites UI-TARS: Pioneering Automated GUI Interaction with Native Agents.

Agent-RLVR: Training Software Engineering Agents via Guidance and Environment Rewards UI-TARS: Pioneering Automated GUI Interaction with Native Agents

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T04:16:08.501801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6aefe98-2f29-4ad0-b8e9-c6a42f5efe51 · outbound

This paper cites WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning.

Agent-RLVR: Training Software Engineering Agents via Guidance and Environment Rewards WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T04:16:08.504844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 781e070c-9bf1-4920-951e-e58502d4508d · inbound

SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks? cites this paper.

SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks? Agent-RLVR: Training Software Engineering Agents via Guidance and Environment Rewards

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-12T13:48:53.748215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5b423429-604d-4cd8-81b3-3549e256206a · inbound

SWE-IF: Aligning Code Evaluation with Human Preference cites this paper.

SWE-IF: Aligning Code Evaluation with Human Preference Agent-RLVR: Training Software Engineering Agents via Guidance and Environment Rewards

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T11:02:07.533516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be23bde6-0887-4ca3-8224-7e9394f1323a · inbound

SERA: Soft-Verified Efficient Repository Agents cites this paper.

SERA: Soft-Verified Efficient Repository Agents Agent-RLVR: Training Software Engineering Agents via Guidance and Environment Rewards

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T07:17:13.394276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5d51157-6f35-401b-8ef8-9bbce2b3ba2b · inbound

Fate of Secondary Droplets Produced by High-speed Raindrops Interacting with a Liquid Pool cites this paper.

Fate of Secondary Droplets Produced by High-speed Raindrops Interacting with a Liquid Pool Agent-RLVR: Training Software Engineering Agents via Guidance and Environment Rewards

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-12T22:37:45.905230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 185f9dde-b76d-43cc-aa4a-48b40b711c9d · inbound

SWE-Shepherd: Advancing PRMs for Reinforcing Code Agents cites this paper.

SWE-Shepherd: Advancing PRMs for Reinforcing Code Agents Agent-RLVR: Training Software Engineering Agents via Guidance and Environment Rewards

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:00:59.385102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b3de5738-ffac-4b63-a2f8-55a9dce22fc5 · inbound

Generate, Filter, Control, Replay: A Comprehensive Survey of Rollout Strategies for LLM Reinforcement Learning cites this paper.

Generate, Filter, Control, Replay: A Comprehensive Survey of Rollout Strategies for LLM Reinforcement Learning Agent-RLVR: Training Software Engineering Agents via Guidance and Environment Rewards

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:15:49.121327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 740bad67-0768-4658-9cd9-47c50619a692 · inbound

Revisiting Reinforcement Learning with Verifiable Rewards from a Contrastive Perspective cites this paper.

Revisiting Reinforcement Learning with Verifiable Rewards from a Contrastive Perspective Agent-RLVR: Training Software Engineering Agents via Guidance and Environment Rewards

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:22:54.783701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7bfd02ae-5fcf-4231-b1ec-fc33107928ff · inbound

Revisiting Reinforcement Learning with Verifiable Rewards from a Contrastive Perspective cites this paper.

Revisiting Reinforcement Learning with Verifiable Rewards from a Contrastive Perspective Agent-RLVR: Training Software Engineering Agents via Guidance and Environment Rewards

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-20T21:43:45.447084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3a167a8b-7dcc-41da-90bf-ab85eb4d7060 · inbound

ReSkill: Reconciling Skill Creation with Policy Optimization in Agentic RL cites this paper.

ReSkill: Reconciling Skill Creation with Policy Optimization in Agentic RL Agent-RLVR: Training Software Engineering Agents via Guidance and Environment Rewards

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-07-01T22:56:20.921429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 076142ad-da01-4de0-a46d-bc4db2f109f8 · inbound

Trading Human Curation for Synthetic Augmentation in RLVR cites this paper.

Trading Human Curation for Synthetic Augmentation in RLVR Agent-RLVR: Training Software Engineering Agents via Guidance and Environment Rewards

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-02T02:16:26.212323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9c15bb12-a2e7-4b9f-8422-7f29e39538a1 · inbound

Trading Human Curation for Synthetic Augmentation in RLVR cites this paper.

Trading Human Curation for Synthetic Augmentation in RLVR Agent-RLVR: Training Software Engineering Agents via Guidance and Environment Rewards

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-12T15:15:09.675778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b55f1ba7-cf7d-4b55-b1b0-60b03a905c3b · inbound

AgenticRL: Self-Refining Agentic Reinforcement Learning for Vision-Conditioned UAV Navigation cites this paper.

AgenticRL: Self-Refining Agentic Reinforcement Learning for Vision-Conditioned UAV Navigation Agent-RLVR: Training Software Engineering Agents via Guidance and Environment Rewards

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-07-02T03:26:29.320110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cdbe7401-d4c8-4938-b932-ec10e1591b6f · inbound

SENTINEL: Failure-Driven Reinforcement Learning for Training Tool-Using Language Model Agents cites this paper.

SENTINEL: Failure-Driven Reinforcement Learning for Training Tool-Using Language Model Agents Agent-RLVR: Training Software Engineering Agents via Guidance and Environment Rewards

Reference 53

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T14:58:33.180739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8f126582-5c6b-4f46-86c0-ef9ee3d9f93d · inbound

Beyond Next-Token Prediction: An RLVR Proof of Concept for Tool-Use Agents on Atlassian Workflows cites this paper.

Beyond Next-Token Prediction: An RLVR Proof of Concept for Tool-Use Agents on Atlassian Workflows Agent-RLVR: Training Software Engineering Agents via Guidance and Environment Rewards

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-07-03T20:18:55.558939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation daced041-f2dc-4f63-8d6b-cc3dd8ae344b · inbound

Agentic-DPO: From Imitation to Agentic Policy Optimization on Expert Trajectories cites this paper.

Agentic-DPO: From Imitation to Agentic Policy Optimization on Expert Trajectories Agent-RLVR: Training Software Engineering Agents via Guidance and Environment Rewards

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-14T10:33:54.851493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bd6e6ce-b523-4888-a300-1909ca46bcc4 · inbound

Masked Diffusion Language Models are Strong and Steerable Text-Based World Models for Agentic RL cites this paper.

Masked Diffusion Language Models are Strong and Steerable Text-Based World Models for Agentic RL Agent-RLVR: Training Software Engineering Agents via Guidance and Environment Rewards

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-02T14:50:10.280348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 003a6523-95fe-4860-8329-fc4f1bbafd50 · inbound

ODYSSE: Episode-wise Policy Optimization for Personalized Agentic Reasoning cites this paper.

ODYSSE: Episode-wise Policy Optimization for Personalized Agentic Reasoning Agent-RLVR: Training Software Engineering Agents via Guidance and Environment Rewards

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-01T02:44:29.759049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a67c7176-23ad-40d9-a1f1-c3825501dc7b · inbound

Self-Evolving Coding Agents cites this paper.

Self-Evolving Coding Agents Agent-RLVR: Training Software Engineering Agents via Guidance and Environment Rewards

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-05T19:47:59.075366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca4ee6f6-5d92-472b-95e6-2c5810b604f1 · inbound

Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing cites this paper.

Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing Agent-RLVR: Training Software Engineering Agents via Guidance and Environment Rewards

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-10T04:39:03.647525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.