Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-20T20:19:21.824216Z
Paper Citation Record · LEDGER
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents
As of 7 August 2026, this Paper Citation Record lists 100 of 101 outbound references and 0 inbound Pith citation observations for arXiv:2605.14133.
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 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
100 of 101 outbound references displayed
- verified exact3
- verified fuzzy44
- unresolved4
- parse uncertain1
- malformed identifier0
- metadata mismatch48
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation c506d781-5242-4333-ad29-2a91399bc01a · outbound
This paper cites A-MEM: Agentic Memory for LLM Agents.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents A-MEM: Agentic Memory for LLM Agents
Reference 1
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-20T20:23:43.232826Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 9d552512-599c-43ed-b6fa-b14fe3918dea · outbound
This paper cites Zep: A Temporal Knowledge Graph Architecture for Agent Memory.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents Zep: A Temporal Knowledge Graph Architecture for Agent Memory
Reference 2
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-20T20:23:43.266224Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 6dadaf98-a18c-41cb-9423-f9c534de58ca · outbound
This paper cites Proceedings of the AAAI conference on artificial intelligence , volume=.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents Proceedings of the AAAI conference on artificial intelligence , volume=
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T20:23:43.617096Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation b852cc17-53c5-45ea-b847-94f550b98c3a · outbound
This paper cites Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , pages=.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , pages=
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T20:23:43.615410Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ffbfee9d-f7f3-4273-8c74-1ce8b8c3bbca · outbound
This paper cites author=.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents author=
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T20:23:43.619234Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 98b5c3c9-90de-4059-9c5a-926d7ecce04c · outbound
This paper cites ClawEnvKit: Automatic Environment Generation for Claw-Like Agents.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents ClawEnvKit: Automatic Environment Generation for Claw-Like Agents
Reference 6
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-20T20:23:43.268782Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 0a46bae0-9e2d-4c6e-9985-dcac2444c112 · outbound
This paper cites Claw-Eval: Towards Trustworthy Evaluation of Autonomous Agents.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents Claw-Eval: Towards Trustworthy Evaluation of Autonomous Agents
Reference 7
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-20T20:23:43.205856Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 6ea8b4e0-dd3e-471f-9a61-85c3ec0be6e3 · outbound
This paper cites Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 8
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-20T20:23:43.298529Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation bca6a4ab-ed63-4795-8e11-88a06f7c86b8 · outbound
This paper cites an unresolved cited work.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents Unresolved cited work
Reference 9
- Resolution
- parse uncertain
- raw_fallback, observed 2026-05-20T20:23:43.571077Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 22bdc956-75a4-4be0-96a9-6eba6d84e67b · outbound
This paper cites ClawsBench: Evaluating Capability and Safety of LLM Productivity Agents in Simulated Workspaces.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents ClawsBench: Evaluating Capability and Safety of LLM Productivity Agents in Simulated Workspaces
Reference 10
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-20T20:23:43.305322Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 52cb93c9-9be5-468c-9956-a1a6de76fe6d · outbound
This paper cites ClawArena: Benchmarking AI Agents in Evolving Information Environments.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents ClawArena: Benchmarking AI Agents in Evolving Information Environments
Reference 11
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-20T20:23:43.252073Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 2ab436f9-2e60-425c-8d33-3fc0ae587a5b · outbound
This paper cites Advances in neural information processing systems , volume=.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents Advances in neural information processing systems , volume=
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T20:23:43.600675Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation b9857001-9f9c-4855-a558-7e3b46a98960 · outbound
This paper cites ACM transactions on intelligent systems and technology , volume=.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents ACM transactions on intelligent systems and technology , volume=
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T20:23:43.611326Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation d0f7884a-c7bf-4bb4-bc59-92c32473ec89 · outbound
This paper cites ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs
Reference 14
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-20T20:23:43.257814Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 19f9bdda-d2e2-4ca3-a8ff-cd8a95522b96 · outbound
This paper cites Advances in neural information processing systems , volume=.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents Advances in neural information processing systems , volume=
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T20:23:43.588923Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 599ed05a-99de-4a04-b221-93ae81f370f7 · outbound
This paper cites The Twelfth International Conference on Learning Representations , year=.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents The Twelfth International Conference on Learning Representations , year=
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T20:23:43.592691Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 57098780-5d3c-4871-b7d9-281a9bef4d20 · outbound
This paper cites Advances in Neural Information Processing Systems , volume=.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents Advances in Neural Information Processing Systems , volume=
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T20:23:43.584867Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation b1e0d0b2-4ee6-4a1d-a586-c5fcec4ba5d2 · outbound
This paper cites AgentBench: Evaluating LLMs as Agents.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents AgentBench: Evaluating LLMs as Agents
Reference 18
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-20T20:23:43.285765Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 849e6e08-40dd-4f34-b595-e7dbbb06b952 · outbound
This paper cites SWE-bench: Can Language Models Resolve Real-World GitHub Issues?.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents SWE-bench: Can Language Models Resolve Real-World GitHub Issues?
Reference 19
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-20T20:23:43.293321Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 4875af07-62ff-4316-b2bc-290c472ab716 · outbound
This paper cites WebArena: A Realistic Web Environment for Building Autonomous Agents.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents WebArena: A Realistic Web Environment for Building Autonomous Agents
Reference 20
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-20T20:23:43.260600Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 680341bd-9a72-488d-ba5d-48c85062a6f3 · outbound
This paper cites Proceedings of the National Academy of Sciences , volume=.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents Proceedings of the National Academy of Sciences , volume=
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T20:23:43.582909Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation e66d6e89-3311-4752-92ee-d61e00d58e49 · outbound
This paper cites 2026 , organization =.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents 2026 , organization =
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T20:23:43.587127Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 118a9a4d-f76f-411d-8306-82a721ce0e51 · outbound
This paper cites Advances in Neural Information Processing Systems , year=.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents Advances in Neural Information Processing Systems , year=
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T20:23:43.590580Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation b6726224-d691-4041-a418-b413cfdf3889 · outbound
This paper cites Efficient Lifelong Learning with.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents Efficient Lifelong Learning with
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T20:23:43.607726Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 72d81367-6f0d-404e-ab86-e04a6be6f732 · outbound
This paper cites International Conference on Machine Learning , year=.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents International Conference on Machine Learning , year=
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T20:23:43.628374Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 12348fa6-adf2-4fb6-9276-cc8b6c8f9c71 · outbound
This paper cites RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning
Reference 26
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-20T20:23:43.219405Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 80cac00d-ba5f-4267-94ff-f122e2b12672 · outbound
This paper cites International Conference on Machine Learning , year=.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents International Conference on Machine Learning , year=
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T20:23:43.574444Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation daa4816c-5381-4dea-b699-d67064d6fac7 · outbound
This paper cites International Conference on Learning Representations , year=.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents International Conference on Learning Representations , year=
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T20:23:43.572776Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 72cdc3e9-4b3e-4afe-ab5a-d1242d278fdc · outbound
This paper cites Advances in Neural Information Processing Systems , year=.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents Advances in Neural Information Processing Systems , year=
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T20:23:43.576140Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 99b41d65-ae1b-46bd-8666-2c9832c853f0 · outbound
This paper cites an unresolved cited work.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents Unresolved cited work
Reference 30
- Resolution
- unresolved
- raw_fallback, observed 2026-05-20T20:23:43.577919Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 1a422a7f-9bca-4147-bd62-267212708230 · outbound
This paper cites Kimi K2.5: Visual Agentic Intelligence.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents Kimi K2.5: Visual Agentic Intelligence
Reference 31
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T20:23:43.288369Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation e470b44a-a27a-4dd8-a77e-b05ed3ae569e · outbound
This paper cites Findings of the Association for Computational Linguistics: ACL 2025 , pages=.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents Findings of the Association for Computational Linguistics: ACL 2025 , pages=
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T20:23:43.569366Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 93e6a1d2-d111-47bc-bbeb-7937f2d5bec5 · outbound
This paper cites The eleventh international conference on learning representations , year=.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents The eleventh international conference on learning representations , year=
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T20:23:43.579687Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 60aa9139-216d-4e74-993b-2c095952c349 · outbound
This paper cites MemEvolve: Meta-Evolution of Agent Memory Systems.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents MemEvolve: Meta-Evolution of Agent Memory Systems
Reference 34
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-20T20:23:43.224817Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 030660b5-612f-4ee4-96be-096bd092e41c · outbound
This paper cites MemRL: Self-Evolving Agents via Runtime Reinforcement Learning on Episodic Memory.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents MemRL: Self-Evolving Agents via Runtime Reinforcement Learning on Episodic Memory
Reference 35
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-20T20:23:43.199913Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 5a331ca2-640f-4a46-b4d0-4a1f09a4559d · outbound
This paper cites Mem-{\alpha}: Learning Memory Construction via Reinforcement Learning.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents Mem-{\alpha}: Learning Memory Construction via Reinforcement Learning
Reference 36
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-20T20:23:43.202908Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c391b1c4-9c86-48b9-9792-9e83ce110b92 · outbound
This paper cites LoRA: Low-Rank Adaptation of Large Language Models.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents LoRA: Low-Rank Adaptation of Large Language Models
Reference 37
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-20T20:23:43.275938Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 7ad20e6a-54a8-4071-800a-b47c1866e2e0 · outbound
This paper cites Agentic Reinforced Policy Optimization.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents Agentic Reinforced Policy Optimization
Reference 38
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-20T20:23:43.281072Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 8205dc0c-86cf-4630-a061-98a061310350 · outbound
This paper cites Agent-R1: A Unified and Modular Framework for Agentic Reinforcement Learning.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents Agent-R1: A Unified and Modular Framework for Agentic Reinforcement Learning
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-06-02T02:03:36.165646Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation eba12bb7-94ab-4eb3-a90d-d3a23ea2ba79 · outbound
This paper cites Advances in neural information processing systems , volume=.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents Advances in neural information processing systems , volume=
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T20:23:43.622899Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 7875fc84-9951-4897-afe2-84d764bf24c7 · outbound
This paper cites Deep Online Learning via Meta-Learning: Continual Adaptation for Model-Based RL.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents Deep Online Learning via Meta-Learning: Continual Adaptation for Model-Based RL
Reference 41
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-20T20:23:43.295748Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 878f693c-75aa-41ca-8276-28e6bff1591b · outbound
This paper cites International conference on machine learning , pages=.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents International conference on machine learning , pages=
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T20:23:43.647243Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 28066ca5-8486-4685-822c-4ca9c2fadb81 · outbound
This paper cites Proceedings of the 2024 conference on empirical methods in natural language processing , pages=.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents Proceedings of the 2024 conference on empirical methods in natural language processing , pages=
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T20:23:43.565462Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 15682fd4-f984-49ca-afbe-b41b76c83dfd · outbound
This paper cites Agent Workflow Memory.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents Agent Workflow Memory
Reference 44
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-20T20:23:43.303034Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation e812a28a-df11-4ad8-84db-a08f174907fa · outbound
This paper cites G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems
Reference 45
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-20T20:23:43.263414Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 5f66ffa7-ff6a-4a72-a512-7a056785a20f · outbound
This paper cites Advances in neural information processing systems , volume=.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents Advances in neural information processing systems , volume=
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T20:23:43.567230Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 2eaeec4f-a6e7-4d62-addc-9ef1969c9cce · outbound
This paper cites A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 47
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-20T20:23:43.213760Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 45d3bdba-a0fa-48f3-a05a-49fa57729609 · outbound
This paper cites Agent0: Unleashing self-evolving agents from zero data via tool-integrated reasoning.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents Agent0: Unleashing self-evolving agents from zero data via tool-integrated reasoning
Reference 48
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-20T20:23:43.194138Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation d14f72ef-54cb-4916-8734-16a0957f4d5a · outbound
This paper cites Agent0 -vl: Exploring self -evolving agent for tool -integrated vision -language reasoning.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents Agent0 -vl: Exploring self -evolving agent for tool -integrated vision -language reasoning
Reference 49
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-20T20:23:43.254983Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 2de9dac4-8635-48b2-8ffd-f1451a045931 · outbound
This paper cites Neural networks , volume=.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents Neural networks , volume=
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T20:23:43.645568Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c8f9b9b9-79e2-4aaf-ac5f-112e18ef8d2d · outbound
This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T20:23:43.649194Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 64b4efdd-ebd0-495f-acb6-e8cdf66fcbfe · outbound
This paper cites IEEE transactions on pattern analysis and machine intelligence , volume=.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents IEEE transactions on pattern analysis and machine intelligence , volume=
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T20:23:43.641628Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 509e0e6e-f60c-4ce1-a9ba-11566927791b · outbound
This paper cites IEEE transactions on pattern analysis and machine intelligence , volume=.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents IEEE transactions on pattern analysis and machine intelligence , volume=
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T20:23:43.639796Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 2df3e228-70cb-4a80-8f44-3187ac8101fd · outbound
This paper cites On First-Order Meta-Learning Algorithms.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents On First-Order Meta-Learning Algorithms
Reference 54
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-20T20:23:43.283425Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c108e4e6-efd1-4716-97d5-eaabab27e103 · outbound
This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents DAPO: An Open-Source LLM Reinforcement Learning System at Scale
Reference 55
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-20T20:23:43.235537Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 1176fd6b-9a16-41f8-9334-7257b7525361 · outbound
This paper cites WebGPT: Browser-assisted question-answering with human feedback.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents WebGPT: Browser-assisted question-answering with human feedback
Reference 56
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-20T20:23:43.310355Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 0395589b-2b48-4624-97e7-66e7201ca3f8 · outbound
This paper cites International conference on machine learning , pages=.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents International conference on machine learning , pages=
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T20:23:43.637699Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 76eed3a5-7e5a-4cb8-8725-a308cc4a8fff · outbound
This paper cites Advances in Neural Information Processing Systems , volume=.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents Advances in Neural Information Processing Systems , volume=
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T20:23:43.643491Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 656a3345-2b1a-44a7-97c9-33cd94bfb0d4 · outbound
This paper cites Group Sequence Policy Optimization.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents Group Sequence Policy Optimization
Reference 59
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-20T20:23:43.182269Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 5dd3e6b2-8875-4803-9d4f-1cb3b55e528f · outbound
This paper cites MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents
Reference 60
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-20T20:23:43.273474Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation f6ffcddd-0919-425d-a233-6a54e2861649 · outbound
This paper cites SimpleMem: Efficient Lifelong Memory for LLM Agents.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents SimpleMem: Efficient Lifelong Memory for LLM Agents
Reference 61
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-22T08:10:45.412758Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c480a274-e797-43b3-a8ca-7a35bca8a40a · outbound
This paper cites Testing Language Model Agents Safely in the Wild.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents Testing Language Model Agents Safely in the Wild
Reference 62
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T20:23:43.230284Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation f0aa1872-a5ff-4330-88c7-3eee64bbcc57 · outbound
This paper cites an unresolved cited work.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents Unresolved cited work
Reference 63
- Resolution
- unresolved
- raw_fallback, observed 2026-05-20T20:23:43.635925Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation e7a1938f-aca4-4f4f-bf34-0c20b1df9780 · outbound
This paper cites AgenTracer: Who Is Inducing Failure in the LLM Agentic Systems?.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents AgenTracer: Who Is Inducing Failure in the LLM Agentic Systems?
Reference 64
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-20T20:23:43.307883Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 80e583a1-106c-492b-b2ff-080ba6a5b621 · outbound
This paper cites SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning
Reference 65
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-20T20:23:43.300937Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 2ea9022d-7cf4-4d9f-bce8-bcdd5975f5ad · outbound
This paper cites Memory in the Age of AI Agents.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents Memory in the Age of AI Agents
Reference 66
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-20T20:23:43.185292Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 570e4bb4-7db3-4ad4-a78a-88c6062da656 · outbound
This paper cites ReasoningBank: Scaling Agent Self-Evolving with Reasoning Memory.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents ReasoningBank: Scaling Agent Self-Evolving with Reasoning Memory
Reference 67
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-20T20:23:43.290691Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ccb9b716-cdf5-4de6-ae34-619a021625fe · outbound
This paper cites Agent kb: Leveraging cross-domain experience for agentic problem solving.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents Agent kb: Leveraging cross-domain experience for agentic problem solving
Reference 68
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-20T20:23:43.242300Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 8b8471d5-1755-4bce-992d-417782c54952 · outbound
This paper cites Advances in Neural Information Processing Systems , volume=.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents Advances in Neural Information Processing Systems , volume=
Reference 69
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T20:23:43.630219Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 589e422e-f02f-471d-9d21-4ddbe6f33688 · outbound
This paper cites Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=
Reference 70
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T20:23:43.632124Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 2989f9d4-7382-4301-891c-091ae6f1f227 · outbound
This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
Reference 71
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-20T20:23:43.191304Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 5d6359df-0977-4115-a374-4cb799265576 · outbound
This paper cites EvolveR: Self-Evolving LLM Agents through an Experience-Driven Lifecycle.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents EvolveR: Self-Evolving LLM Agents through an Experience-Driven Lifecycle
Reference 72
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-20T20:23:43.312709Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 1c0bcbfc-01d5-4e1e-8ab1-378d8d9d23e7 · outbound
This paper cites Memp: Exploring Agent Procedural Memory.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents Memp: Exploring Agent Procedural Memory
Reference 73
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-20T20:23:43.197029Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation d1141c40-cffb-498c-9546-d3f32f126f6d · outbound
This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 74
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-20T20:23:43.188388Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a1ccfae9-bab3-4898-93f1-3289fc5327f4 · outbound
This paper cites Group-in-Group Policy Optimization for LLM Agent Training.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents Group-in-Group Policy Optimization for LLM Agent Training
Reference 75
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-20T20:23:43.211084Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 0896cfae-2f57-47b8-97e2-77b05a8387e9 · outbound
This paper cites 2025 , author=.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents 2025 , author=
Reference 76
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T20:23:43.624591Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 66ec27b4-e54b-4a71-941d-e67d1dfd3472 · outbound
This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Reference 77
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-20T20:23:43.315717Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 0954337a-a67d-4eea-97f8-edae9dc98a5c · outbound
This paper cites 2024 , author=.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents 2024 , author=
Reference 78
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T20:23:43.620875Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 193767dd-1662-4075-929c-f4675355fe6f · outbound
This paper cites 2025 , author=.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents 2025 , author=
Reference 79
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T20:23:43.563601Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 5e10ad2d-a3ec-40a2-8227-d31963b42d11 · outbound
This paper cites 2025 , author=.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents 2025 , author=
Reference 80
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T20:23:43.581238Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation b503fd6e-69a1-43d2-b184-fa67ac06084a · outbound
This paper cites 2024 , author=.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents 2024 , author=
Reference 81
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T20:23:43.613147Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 078254ff-ecf8-4552-b090-1c1fc1e866db · outbound
This paper cites Tongyi DeepResearch Technical Report.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents Tongyi DeepResearch Technical Report
Reference 82
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-20T20:23:43.271148Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 8e158ed5-693e-4b2c-a033-26d60cf63a92 · outbound
This paper cites Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory
Reference 83
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-20T20:23:43.278367Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 093e8c82-8f7e-418b-9b27-d9c567c06f94 · outbound
This paper cites Agentic Memory: Learning Unified Long-Term and Short-Term Memory Management for Large Language Model Agents.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents Agentic Memory: Learning Unified Long-Term and Short-Term Memory Management for Large Language Model Agents
Reference 84
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-20T20:23:43.238254Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 0c003b22-810e-46b5-85f5-02c42d3b06d0 · outbound
This paper cites Findings of the Association for Computational Linguistics: ACL 2024 , pages=.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents Findings of the Association for Computational Linguistics: ACL 2024 , pages=
Reference 85
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T20:23:43.626388Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation eb5338d2-f0a9-41a7-bb42-4b6fad8d1578 · outbound
This paper cites Proximal Policy Optimization Algorithms.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents Proximal Policy Optimization Algorithms
Reference 86
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-20T20:23:43.208503Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 03da1012-3696-4a93-90a2-e6fa14d1f4d9 · outbound
This paper cites FireAct: Toward Language Agent Fine-tuning.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents FireAct: Toward Language Agent Fine-tuning
Reference 87
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-20T20:23:43.246128Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation b6e3a6a4-92ad-4296-bd33-8f6fb192b888 · outbound
This paper cites Qwen Technical Report.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents Qwen Technical Report
Reference 88
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-20T20:23:43.227288Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ef44d215-85a0-4fbc-95f9-19c312d1161a · outbound
This paper cites Advances in Neural Information Processing Systems , volume=.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents Advances in Neural Information Processing Systems , volume=
Reference 89
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T20:23:43.605880Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation bd352baf-f58a-421a-a73e-8fe55beb5764 · outbound
This paper cites an unresolved cited work.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents Unresolved cited work
Reference 90
- Resolution
- unresolved
- raw_fallback, observed 2026-05-20T20:23:43.561919Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 3f53375a-8356-48f2-b947-a85ca6ede89e · outbound
This paper cites 2023 IEEE International Conference on Robotics and Automation (ICRA) , pages=.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents 2023 IEEE International Conference on Robotics and Automation (ICRA) , pages=
Reference 91
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T20:23:43.602470Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 7b6f92bc-4103-4c0e-99b1-1c25a22b2b70 · outbound
This paper cites Advances in Neural Information Processing Systems , volume=.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents Advances in Neural Information Processing Systems , volume=
Reference 92
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T20:23:43.604189Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 201985b5-69db-472d-8c9b-d4c3abd33e7a · outbound
This paper cites Artificial intelligence , volume=.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents Artificial intelligence , volume=
Reference 93
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T20:23:43.597041Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 2b626a41-123d-40dc-be3b-156607899dfb · outbound
This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents Proceedings of the AAAI Conference on Artificial Intelligence , volume=
Reference 94
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T20:23:43.560119Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 7268c921-ab63-407b-86fe-f30b413d5e4d · outbound
This paper cites an unresolved cited work.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents Unresolved cited work
Reference 95
- Resolution
- unresolved
- raw_fallback, observed 2026-05-20T20:23:43.599011Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ec6519f3-ab46-4151-aca2-fd4c2f6d94e7 · outbound
This paper cites First Conference on Language Modeling , year=.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents First Conference on Language Modeling , year=
Reference 96
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T20:23:43.558320Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation d80640d4-a9b6-482a-83d1-d9abae162931 · outbound
This paper cites Advances in Neural Information Processing Systems , volume=.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents Advances in Neural Information Processing Systems , volume=
Reference 97
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T20:23:43.633974Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 512679d3-2900-45f1-9bb9-b348ed991bbf · outbound
This paper cites Advances in Neural Information Processing Systems , volume=.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents Advances in Neural Information Processing Systems , volume=
Reference 98
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T20:23:43.594966Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation dead71bf-aece-4abb-8e00-e3923bc08082 · outbound
This paper cites MIRIX: Multi-Agent Memory System for LLM-Based Agents.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents MIRIX: Multi-Agent Memory System for LLM-Based Agents
Reference 99
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-20T20:23:43.222323Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 0959e00a-2a79-4d39-bbed-43218083d110 · outbound
This paper cites Agentic Reasoning for Large Language Models.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents Agentic Reasoning for Large Language Models
Reference 100
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-20T20:23:43.249036Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Pith citing papers
No inbound Pith citation observations are available.