Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-14T19:56:06.762156Z
Paper Citation Record · LEDGER
Revisiting DAgger in the Era of LLM-Agents
As of 18 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 1 inbound Pith citation observation for arXiv:2605.12913.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-11T17:03:13.686066Z
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
61 of 61 outbound references displayed
- verified exact36
- verified fuzzy15
- unresolved7
- parse uncertain0
- malformed identifier0
- metadata mismatch3
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 0f338167-c8d8-4dfb-8361-fcc3fd9d278f · outbound
This paper cites GPT-4 Technical Report.
Revisiting DAgger in the Era of LLM-Agents GPT-4 Technical Report
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T19:57:53.211035Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 0c3d0106-9ea7-4a48-9a11-affce4ab7d5a · outbound
This paper cites On-policy distillation of language models: Learning from self-generated mistakes.
Revisiting DAgger in the Era of LLM-Agents On-policy distillation of language models: Learning from self-generated mistakes
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T17:21:21.976243Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 619dbdc9-3520-4728-8829-7cdc3964311c · outbound
This paper cites Dream: Deep research evaluation with agentic metrics.
Revisiting DAgger in the Era of LLM-Agents Dream: Deep research evaluation with agentic metrics
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T19:57:53.187522Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation cc2818dd-c3f1-4f69-9690-043a094e1c59 · outbound
This paper cites SWE-rebench: An Automated Pipeline for Task Collection and Decontaminated Evaluation of Software Engineering Agents.
Revisiting DAgger in the Era of LLM-Agents SWE-rebench: An Automated Pipeline for Task Collection and Decontaminated Evaluation of Software Engineering Agents
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T19:57:53.174612Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 06f21fcf-7552-41a3-9693-578dfdeeec95 · outbound
This paper cites Qwen3-Coder-Next Technical Report.
Revisiting DAgger in the Era of LLM-Agents Qwen3-Coder-Next Technical Report
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T21:12:48.468873Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation da6d06d9-ae7e-4996-af0d-a2e2c1138b09 · outbound
This paper cites arXiv preprint arXiv:2511.16108(2025).
Revisiting DAgger in the Era of LLM-Agents arXiv preprint arXiv:2511.16108(2025)
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T19:57:53.202579Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c23039ba-560c-4e0e-ba44-696fcf0d6fbf · outbound
This paper cites MARS: Modular Agent with Reflective Search for Automated AI Research.
Revisiting DAgger in the Era of LLM-Agents MARS: Modular Agent with Reflective Search for Automated AI Research
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T02:04:10.539767Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation b534405e-cd85-4345-be75-717472ff255e · outbound
This paper cites Facilitating Multi-turn Function Calling for LLMs via Compositional Instruction Tuning.
Revisiting DAgger in the Era of LLM-Agents Facilitating Multi-turn Function Calling for LLMs via Compositional Instruction Tuning
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T19:57:53.313781Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 1f76ec03-8ca9-4350-9d84-e9bd18427348 · outbound
This paper cites BrowseComp-Plus: A More Fair and Transparent Evaluation Benchmark of Deep-Research Agent.
Revisiting DAgger in the Era of LLM-Agents BrowseComp-Plus: A More Fair and Transparent Evaluation Benchmark of Deep-Research Agent
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T19:57:53.390539Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation daeeb332-a50a-4ef3-a9f2-b377543fed49 · outbound
This paper cites Agentless: Demystifying LLM-based Software Engineering Agents.
Revisiting DAgger in the Era of LLM-Agents Agentless: Demystifying LLM-based Software Engineering Agents
Reference 10
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-14T19:57:53.362813Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation cb211981-c4ba-45fc-8e1c-144680c49ffb · outbound
This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.
Revisiting DAgger in the Era of LLM-Agents Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
Reference 11
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T19:57:53.410083Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c8ade44b-5959-4279-a90b-bffac6b7c730 · outbound
This paper cites SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks?.
Revisiting DAgger in the Era of LLM-Agents SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks?
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T19:57:53.403116Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 9eb666c0-c41c-4e52-a503-419ec1963c9b · outbound
This paper cites MiniLLM: Knowledge distillation of large language models.
Revisiting DAgger in the Era of LLM-Agents MiniLLM: Knowledge distillation of large language models
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T17:21:22.023639Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 0b8c2506-8401-4135-98f3-dcec997c47c8 · outbound
This paper cites Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains.
Revisiting DAgger in the Era of LLM-Agents Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T19:57:53.451850Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation aa436afe-a220-430c-b5b5-4fcee276890c · outbound
This paper cites DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence.
Revisiting DAgger in the Era of LLM-Agents DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence
Reference 15
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T19:57:53.320219Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 0cf73e6a-ab19-4c72-9a70-c6dab9e847e9 · outbound
This paper cites Large language models for software engineering: A systematic literature review.ACM Transactions on Software Engineering and Methodology, 33(8):1–79.
Revisiting DAgger in the Era of LLM-Agents Large language models for software engineering: A systematic literature review.ACM Transactions on Software Engineering and Methodology, 33(8):1–79
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T17:21:22.040932Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 4b40848d-8da1-4381-8ad0-214d3ede2699 · outbound
This paper cites Beyond Verifiable Rewards: Rubric-Based GRM for Reinforced Fine-Tuning SWE Agents.
Revisiting DAgger in the Era of LLM-Agents Beyond Verifiable Rewards: Rubric-Based GRM for Reinforced Fine-Tuning SWE Agents
Reference 17
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T19:57:53.272134Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 59767a69-7b2b-4992-b20a-9e1d77c95c1f · outbound
This paper cites Reinforcement Learning via Self-Distillation.
Revisiting DAgger in the Era of LLM-Agents Reinforcement Learning via Self-Distillation
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T19:57:53.445431Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 9561e11b-83d9-4b19-b87d-8b9f31164a68 · outbound
This paper cites SWE-bench: Can Language Models Resolve Real-World GitHub Issues?.
Revisiting DAgger in the Era of LLM-Agents SWE-bench: Can Language Models Resolve Real-World GitHub Issues?
Reference 19
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T19:57:53.298149Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation d76b8ae0-45fe-4b66-90ca-308bec072607 · outbound
This paper cites arXiv preprint arXiv:2512.14895 , year=.
Revisiting DAgger in the Era of LLM-Agents arXiv preprint arXiv:2512.14895 , year=
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T19:57:53.194309Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 260ee51f-7f7e-4ddd-b54b-6bd8aeabb2c5 · outbound
This paper cites Large Language Model-Based Agents for Software Engineering: A Survey.
Revisiting DAgger in the Era of LLM-Agents Large Language Model-Based Agents for Software Engineering: A Survey
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T12:35:49.024248Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation e9f924e2-7439-4608-9e75-431e6ff848a7 · outbound
This paper cites On-policy distillation.Thinking Machines Lab: Con- nectionism.
Revisiting DAgger in the Era of LLM-Agents On-policy distillation.Thinking Machines Lab: Con- nectionism
Reference 22
- Resolution
- verified exact
- doi, observed 2026-05-14T19:57:52.351707Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation e3560fa6-2074-4060-b82b-87525a5b83d9 · outbound
This paper cites Training language models to follow instructions with human feedback.Advances in neural information processing systems, 35:27730–27744.
Revisiting DAgger in the Era of LLM-Agents Training language models to follow instructions with human feedback.Advances in neural information processing systems, 35:27730–27744
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T17:21:22.027042Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 527fa34d-1bb3-4629-b3ef-1c8ec9fccfc7 · outbound
This paper cites Training Software Engineering Agents and Verifiers with SWE-Gym.
Revisiting DAgger in the Era of LLM-Agents Training Software Engineering Agents and Verifiers with SWE-Gym
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T05:20:40.573423Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c4716b66-c20c-4d60-8e79-4fd9745cbe2a · outbound
This paper cites MLE-Dojo: Interactive Environments for Empowering LLM Agents in Machine Learning Engineering.
Revisiting DAgger in the Era of LLM-Agents MLE-Dojo: Interactive Environments for Empowering LLM Agents in Machine Learning Engineering
Reference 26
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T19:57:53.369729Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 7576f433-e031-40b6-9398-2cacf1c76b48 · outbound
This paper cites Mle-smith: Scaling mle tasks with automated multi-agent pipeline.
Revisiting DAgger in the Era of LLM-Agents Mle-smith: Scaling mle tasks with automated multi-agent pipeline
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T19:57:53.291793Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation acf8cdbf-cc57-4916-b9d9-5dcbc17a9e7d · outbound
This paper cites Efficient reductions for imitation learning.
Revisiting DAgger in the Era of LLM-Agents Efficient reductions for imitation learning
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T17:21:22.030139Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 3bf08f22-8d83-49dd-b4ca-e8470761cfcc · outbound
This paper cites Reinforcement and Imitation Learning via Interactive No-Regret Learning.
Revisiting DAgger in the Era of LLM-Agents Reinforcement and Imitation Learning via Interactive No-Regret Learning
Reference 29
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T19:57:53.264138Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 5c454286-9ad8-45c8-9fc2-c8dcd10eaff8 · outbound
This paper cites A reduction of imitation learning and structured prediction to no-regret online learning.
Revisiting DAgger in the Era of LLM-Agents A reduction of imitation learning and structured prediction to no-regret online learning
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T17:21:22.003131Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c16bdd4a-4ea6-4750-b0b3-029263b7e75c · outbound
This paper cites Proximal Policy Optimization Algorithms.
Revisiting DAgger in the Era of LLM-Agents Proximal Policy Optimization Algorithms
Reference 31
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T19:57:53.245712Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 36f185b7-b137-4671-bcb7-d0ea2bddae76 · outbound
This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.
Revisiting DAgger in the Era of LLM-Agents DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Reference 32
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T19:57:53.439026Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation bd3ae417-308a-43ba-8ecd-d8b60f11a7b4 · outbound
This paper cites Swe-dev: Building software engineering agents with training and inference scaling.
Revisiting DAgger in the Era of LLM-Agents Swe-dev: Building software engineering agents with training and inference scaling
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T17:21:22.007279Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 3bce33c8-dbd1-4780-8f1f-25c47ea3b937 · outbound
This paper cites Software testing with large language models: Survey, landscape, and vision.IEEE Transactions on Software Engineering, 50(4):911–936.
Revisiting DAgger in the Era of LLM-Agents Software testing with large language models: Survey, landscape, and vision.IEEE Transactions on Software Engineering, 50(4):911–936
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T17:21:22.033420Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 517b65a0-f006-47e5-ba07-366f717446b7 · outbound
This paper cites OpenHands: An Open Platform for AI Software Developers as Generalist Agents.
Revisiting DAgger in the Era of LLM-Agents OpenHands: An Open Platform for AI Software Developers as Generalist Agents
Reference 35
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T19:57:53.424827Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation ebc54fea-072f-45f2-809c-f51714c706d3 · outbound
This paper cites BrowseComp: A Simple Yet Challenging Benchmark for Browsing Agents.
Revisiting DAgger in the Era of LLM-Agents BrowseComp: A Simple Yet Challenging Benchmark for Browsing Agents
Reference 36
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T19:57:53.327350Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f6306b97-77aa-429b-a27a-88fbaa638f72 · outbound
This paper cites SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution.
Revisiting DAgger in the Era of LLM-Agents SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution
Reference 37
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T10:27:56.991478Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 3c46f3c3-6578-4e08-87cc-4480fa49308b · outbound
This paper cites Automated program repair in the era of large pre-trained language models.
Revisiting DAgger in the Era of LLM-Agents Automated program repair in the era of large pre-trained language models
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T17:21:22.038515Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 6a7d32c6-f7fc-4d5d-8f47-1eff2b7a0f04 · outbound
This paper cites Qwen3 Technical Report.
Revisiting DAgger in the Era of LLM-Agents Qwen3 Technical Report
Reference 39
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T19:57:53.235908Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 6bde1360-43e0-43e8-ad58-a28919fff1dc · outbound
This paper cites Swe-agent: Agent-computer interfaces enable automated software engineering.Advances in Neural Information Processing Systems, 37:50528–50652.
Revisiting DAgger in the Era of LLM-Agents Swe-agent: Agent-computer interfaces enable automated software engineering.Advances in Neural Information Processing Systems, 37:50528–50652
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T17:21:22.017613Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 9f97d393-789d-4cda-a4ec-5ba28789fa21 · outbound
This paper cites SWE-smith: Scaling Data for Software Engineering Agents.
Revisiting DAgger in the Era of LLM-Agents SWE-smith: Scaling Data for Software Engineering Agents
Reference 41
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T10:22:07.061654Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 83d2cc52-cd90-48ae-a519-dba65306dc3c · outbound
This paper cites Reinforcement Learning for Machine Learning Engineering Agents.
Revisiting DAgger in the Era of LLM-Agents Reinforcement Learning for Machine Learning Engineering Agents
Reference 42
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T19:57:53.418198Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation a6d9ae2b-fa2d-4991-95a4-32a88213f45b · outbound
This paper cites DCPO: Dynamic Clipping Policy Optimization.
Revisiting DAgger in the Era of LLM-Agents DCPO: Dynamic Clipping Policy Optimization
Reference 43
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T19:57:53.349495Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 7160c5ee-8e62-4740-b672-920004c215c2 · outbound
This paper cites Evaluating the Code Quality of AI-Assisted Code Generation Tools: An Empirical Study on GitHub Copilot, Amazon CodeWhisperer, and ChatGPT.
Revisiting DAgger in the Era of LLM-Agents Evaluating the Code Quality of AI-Assisted Code Generation Tools: An Empirical Study on GitHub Copilot, Amazon CodeWhisperer, and ChatGPT
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T19:57:53.334730Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation da1863f4-b4ff-4fdf-9bf7-023c4ad3ac75 · outbound
This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.
Revisiting DAgger in the Era of LLM-Agents DAPO: An Open-Source LLM Reinforcement Learning System at Scale
Reference 45
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T19:57:53.356182Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 16874846-5b3e-4a1d-a01b-1d0c9fd2a6ca · outbound
This paper cites Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving.
Revisiting DAgger in the Era of LLM-Agents Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving
Reference 46
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T06:48:50.578231Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c02b3ea4-c9f0-4dd8-b92f-f1bd79cbaf88 · outbound
This paper cites type": "function.
Revisiting DAgger in the Era of LLM-Agents type": "function
Reference 47
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T19:57:53.376666Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 2a44fc95-3095-400e-9128-f119bb5dce30 · outbound
This paper cites CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding Challenges.
Revisiting DAgger in the Era of LLM-Agents CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding Challenges
Reference 48
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T19:57:53.228204Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 897e6c6e-d49a-4d09-a7bf-331fe64c42af · outbound
This paper cites Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models.
Revisiting DAgger in the Era of LLM-Agents Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models
Reference 49
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T19:57:53.432150Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 70533bfb-237f-4ac6-8ece-62345060cbbb · outbound
This paper cites why is X happening.
Revisiting DAgger in the Era of LLM-Agents why is X happening
Reference 50
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T19:57:53.254003Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 7dbd8c85-e67c-49f8-8fe5-35813f1bb9ba · outbound
This paper cites an unresolved cited work.
Revisiting DAgger in the Era of LLM-Agents Unresolved cited work
Reference 51
- Resolution
- unresolved
- raw_fallback, observed 2026-05-15T17:21:21.981784Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 0ef470e4-df71-4411-a6b3-2c90ebfc3d28 · outbound
This paper cites an unresolved cited work.
Revisiting DAgger in the Era of LLM-Agents Unresolved cited work
Reference 52
- Resolution
- unresolved
- raw_fallback, observed 2026-05-15T17:21:21.999657Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 3c6d5856-b5fe-4376-bba2-113e55cf9b85 · outbound
This paper cites * For new features: Consider test-driven development when appropriate.
Revisiting DAgger in the Era of LLM-Agents * For new features: Consider test-driven development when appropriate
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T17:21:21.984473Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 2f485735-736a-4d3c-bea6-e7866ff37ea8 · outbound
This paper cites * Always modify existing files directly rather than creating new versions with different suffixes.
Revisiting DAgger in the Era of LLM-Agents * Always modify existing files directly rather than creating new versions with different suffixes
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T17:21:21.994555Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 9aea05ad-2c89-44f0-9a11-da9e700f5985 · outbound
This paper cites If the environment is not set up to run tests, consult with the user first before investing time to run tests.
Revisiting DAgger in the Era of LLM-Agents If the environment is not set up to run tests, consult with the user first before investing time to run tests
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T17:21:21.978756Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation aeabb3c5-f9c5-40ee-8f7f-aa80a2375a39 · outbound
This paper cites an unresolved cited work.
Revisiting DAgger in the Era of LLM-Agents Unresolved cited work
Reference 56
- Resolution
- unresolved
- raw_fallback, observed 2026-05-15T17:21:22.035833Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 05a6a184-ed50-486e-ba9d-fb5a25a99587 · outbound
This paper cites an unresolved cited work.
Revisiting DAgger in the Era of LLM-Agents Unresolved cited work
Reference 57
- Resolution
- unresolved
- raw_fallback, observed 2026-05-15T17:21:21.997213Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f8b9512c-eb3a-4a4a-890f-1e144e86fbea · outbound
This paper cites * Similarly, if you encounter missing dependencies for essential tools requested by the user, install them when possible.
Revisiting DAgger in the Era of LLM-Agents * Similarly, if you encounter missing dependencies for essential tools requested by the user, install them when possible
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T17:21:22.010648Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 6981459f-cd26-40ba-aae3-c68def5a85fd · outbound
This paper cites an unresolved cited work.
Revisiting DAgger in the Era of LLM-Agents Unresolved cited work
Reference 59
- Resolution
- unresolved
- raw_fallback, observed 2026-05-15T17:21:22.020652Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 98163856-8160-487c-a09e-45806d96673e · outbound
This paper cites an unresolved cited work.
Revisiting DAgger in the Era of LLM-Agents Unresolved cited work
Reference 60
- Resolution
- unresolved
- raw_fallback, observed 2026-05-15T17:21:21.988811Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 13d66908-21cf-4e06-adc4-d96201bc8093 · outbound
This paper cites an unresolved cited work.
Revisiting DAgger in the Era of LLM-Agents Unresolved cited work
Reference 61
- Resolution
- unresolved
- raw_fallback, observed 2026-05-15T17:21:21.991673Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation b96d38d9-6fea-40ac-b09c-577ebd858a01 · outbound
This paper cites * When you run into any major issue while executing a plan from the user, please don’t try to directly work around it.
Revisiting DAgger in the Era of LLM-Agents * When you run into any major issue while executing a plan from the user, please don’t try to directly work around it
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T17:21:22.014342Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Pith citing papers
Observation 02d6f244-0343-4cbd-a70c-83666b5ff433 · inbound
A Few Teacher Steps Go a Long Way: Cost-Efficient On-Policy Data Augmentation for Agent Post-Training cites this paper.
A Few Teacher Steps Go a Long Way: Cost-Efficient On-Policy Data Augmentation for Agent Post-Training Revisiting DAgger in the Era of LLM-Agents
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-07-11T17:03:13.686066Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.