Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T16:55:37.731854Z
Paper Citation Record · LEDGER
Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents
As of 16 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 5 inbound Pith citation observations for arXiv:2508.19504.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T10:20:42.094789Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
54 of 54 outbound references displayed
- verified exact0
- verified fuzzy36
- unresolved18
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
Observation 3ef801cf-fb1f-422b-aa89-a8d164e814e4 · outbound
This paper cites Introducing Claude 4, 2025.
Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents Introducing Claude 4, 2025
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T16:55:37.416855Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c9d2a663-2573-4c47-961a-0abca8e1b22f · outbound
This paper cites an unresolved cited work.
Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents Unresolved cited work
Reference 2
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T16:55:38.673162Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7d3a6ad5-86c9-4254-bb72-d37417dd9c59 · outbound
This paper cites Pan, Shuyi Yang, Lakshya A.
Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents Pan, Shuyi Yang, Lakshya A
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T16:55:37.428785Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 95738c90-7f03-43c3-8da9-e6cc869e374a · outbound
This paper cites Standard benchmarks fail – auditing llm agents in finance must prioritize risk, 2025.
Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents Standard benchmarks fail – auditing llm agents in finance must prioritize risk, 2025
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:55:38.627995Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d07e8341-0898-4bfe-9412-b09f218a05ba · outbound
This paper cites Understanding fine-tuning, 2024.
Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents Understanding fine-tuning, 2024
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:55:38.605034Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b33fa9a6-3ad3-4021-b6b5-586d89b71025 · outbound
This paper cites an unresolved cited work.
Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents Unresolved cited work
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T16:55:37.447143Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 06885efb-2913-458a-91cf-c614decc690b · outbound
This paper cites Trail: Trace reasoning and agentic issue localization, 2025.
Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents Trail: Trace reasoning and agentic issue localization, 2025
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:55:38.571423Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ef140434-5956-4dab-b977-06dc2d5e1c64 · outbound
This paper cites An overview of hierarchical task network planning, 2014.
Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents An overview of hierarchical task network planning, 2014
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:55:38.548764Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 03e65dbb-39b5-4f01-a31e-f49d4ec30653 · outbound
This paper cites Advanced version of Gemini with deep think officially achieves gold-medal standard at the international mathematical olympiad, 2025.
Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents Advanced version of Gemini with deep think officially achieves gold-medal standard at the international mathematical olympiad, 2025
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:55:38.526571Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 55716734-b961-46ad-b8ee-6f8c3877c632 · outbound
This paper cites Gemini 2.5 Pro, 2025.
Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents Gemini 2.5 Pro, 2025
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:55:38.508279Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0bb603f2-0b8b-4ba8-bf0d-c806e9e58aa3 · outbound
This paper cites Intelligent virtual assistants with llm-based process automation, 2023.
Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents Intelligent virtual assistants with llm-based process automation, 2023
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:55:38.488549Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0395e57d-05cc-4ca4-ae32-87b1d78c04a2 · outbound
This paper cites Crmarena: Understanding the capacity of llm agents to perform professional crm tasks in realistic environments.
Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents Crmarena: Understanding the capacity of llm agents to perform professional crm tasks in realistic environments
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:55:38.461334Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7caae0a4-23c6-4fd6-81f2-a5532ca3cae5 · outbound
This paper cites Crmarena-pro: Holistic assessment of llm agents across diverse business scenarios and interactions, 2025.
Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents Crmarena-pro: Holistic assessment of llm agents across diverse business scenarios and interactions, 2025
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:55:38.444768Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0e59bf87-cc1c-4928-8155-4ceeed537d3e · outbound
This paper cites Black, Gloria Geng, Danny Park, James Zou, Andrew Y.
Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents Black, Gloria Geng, Danny Park, James Zou, Andrew Y
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T16:55:37.490010Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 57e38973-8a74-4f7f-8766-4195e0d5afb5 · outbound
This paper cites Proxyllm : Llm-driven framework for customer support through text-style transfer, 2024.
Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents Proxyllm : Llm-driven framework for customer support through text-style transfer, 2024
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:55:38.413699Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation fdede9fb-e2b7-4f91-a776-67259523cc87 · outbound
This paper cites The hidden cost of ignoring llm failures, 2025.
Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents The hidden cost of ignoring llm failures, 2025
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:55:38.397428Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e144a0ca-a2d4-46cb-95ff-8c0d561b0632 · outbound
This paper cites Scaling laws for forgetting when fine-tuning large language models, 2024.
Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents Scaling laws for forgetting when fine-tuning large language models, 2024
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T16:55:37.510468Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bd6d8d84-2a3a-4a63-a016-4a8f68cbc1a4 · outbound
This paper cites Ziegler, Elizabeth Barnes, and Lawrence Chan.
Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents Ziegler, Elizabeth Barnes, and Lawrence Chan
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:55:38.366426Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ca72e421-c0f5-4afa-9259-0a9e11e6e6ca · outbound
This paper cites Llms get lost in multi-turn conversation, 2025.
Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents Llms get lost in multi-turn conversation, 2025
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T16:55:37.529018Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5ecae5b0-cc99-491f-8ae7-c96c3599424c · outbound
This paper cites Spider 2.0: Evaluating language models on real-world enterprise text-to-sql workflows, 2025.
Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents Spider 2.0: Evaluating language models on real-world enterprise text-to-sql workflows, 2025
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:55:38.337488Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2f69c910-61af-4d96-b78c-ffdc1687e598 · outbound
This paper cites Personal llm agents: Insights and survey about the capability, efficiency and security, 2024.
Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents Personal llm agents: Insights and survey about the capability, efficiency and security, 2024
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:55:38.320800Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7c6b11b0-1b4c-4877-a63a-6cb814cff3f4 · outbound
This paper cites Toolace: Winning the points of llm function calling, 2025.
Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents Toolace: Winning the points of llm function calling, 2025
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:55:38.303684Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1a09c289-47f2-4602-be10-41cd2cd88d72 · outbound
This paper cites Agentbench: Evaluating llms as agents, 2023.
Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents Agentbench: Evaluating llms as agents, 2023
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T16:55:37.557325Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bd1be5db-24fb-44c3-80fe-bdc267c5b23a · outbound
This paper cites Toolsandbox: A stateful, conversational, interactive evaluation benchmark for llm tool use capabilities, 2025.
Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents Toolsandbox: A stateful, conversational, interactive evaluation benchmark for llm tool use capabilities, 2025
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T16:55:37.563880Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 85d4371f-5214-44a2-8211-ff4bfb9834d2 · outbound
This paper cites An empirical study of catastrophic forgetting in large language models during continual fine-tuning, 2025.
Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents An empirical study of catastrophic forgetting in large language models during continual fine-tuning, 2025
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T16:55:37.569625Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b1d6eaab-dd77-47cd-958e-9f8fefa54fa8 · outbound
This paper cites Rag vs fine tuning: How to choose the right method, 2024.
Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents Rag vs fine tuning: How to choose the right method, 2024
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:55:38.254754Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e13c5f09-4af9-4383-b5ab-49718d09c88f · outbound
This paper cites Bfcl v3 multi-turn and multi-step function calling evaluation, 2024.
Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents Bfcl v3 multi-turn and multi-step function calling evaluation, 2024
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:55:38.235721Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 637fe108-dc34-4375-8ba4-ffe306ee80a9 · outbound
This paper cites Introducing meta llama 3: The most capable openly available llm to date, 2024.
Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents Introducing meta llama 3: The most capable openly available llm to date, 2024
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:55:38.217492Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6bbb5704-3174-4870-8668-480c0f9b51af · outbound
This paper cites Agentmisalignment: Measuring the propensity for misaligned behaviour in llm-based agents, 2025.
Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents Agentmisalignment: Measuring the propensity for misaligned behaviour in llm-based agents, 2025
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:55:38.199706Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a470e2ee-26ef-4b32-81b8-749fabf246ba · outbound
This paper cites Hierarchical task network (htn) planning, 2012.
Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents Hierarchical task network (htn) planning, 2012
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:55:38.181912Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 90ffb51c-b100-4ebf-b81b-bc088dde57eb · outbound
This paper cites Learning to reason with LLMs, 2024.
Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents Learning to reason with LLMs, 2024
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:55:38.160480Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation cc8a9a47-72d5-4cfb-9372-2d2868464160 · outbound
This paper cites Introducing ChatGPT agent: bridging research and action, 2025.
Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents Introducing ChatGPT agent: bridging research and action, 2025
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:55:38.142995Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e5ba2b97-bb22-434a-b030-91154076c2ea · outbound
This paper cites Introducing GPT-4.1 in the API, 2025.
Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents Introducing GPT-4.1 in the API, 2025
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T16:55:37.615750Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c3814712-724d-4a9a-abd2-0547824b58e8 · outbound
This paper cites Introducing openai o3 and o4-mini, 2025.
Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents Introducing openai o3 and o4-mini, 2025
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T16:55:37.623163Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 752bf8fb-010e-4ed6-b9f0-984315c1fb9c · outbound
This paper cites Gonzalez.
Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents Gonzalez
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:55:38.102687Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 405427b8-a266-4296-9628-8cbde688e969 · outbound
This paper cites Apigen-mt: Agentic pipeline for multi- turn data generation via simulated agent-human interplay, 2025.
Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents Apigen-mt: Agentic pipeline for multi- turn data generation via simulated agent-human interplay, 2025
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:55:38.085846Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8ea7308f-1ccf-4ec7-abca-88210b81f085 · outbound
This paper cites Maddison, and Tatsunori Hashimoto.
Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents Maddison, and Tatsunori Hashimoto
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T16:55:37.641141Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8252b4bf-71d9-42df-ab48-2c08061ad7be · outbound
This paper cites Large language models can be easily distracted by irrelevant context, 2023.
Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents Large language models can be easily distracted by irrelevant context, 2023
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T16:55:37.646474Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bd18b089-092a-4ce2-9752-109faa4b6759 · outbound
This paper cites Direct multi-turn preference optimization for language agents, 2025.
Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents Direct multi-turn preference optimization for language agents, 2025
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:55:38.047206Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d05cd24f-6f7d-44fa-b2fe-5366a028ef4d · outbound
This paper cites From commands to prompts: Llm-based semantic file system for aios, 2025.
Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents From commands to prompts: Llm-based semantic file system for aios, 2025
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:55:38.030778Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ced4d35f-fc13-4ea1-b5f1-0492aca96682 · outbound
This paper cites Salesforce study finds llm agents fail 65.
Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents Salesforce study finds llm agents fail 65
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:55:38.008380Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4e4e5159-91da-4e2b-a9b3-c9a40fc2af05 · outbound
This paper cites Understanding fine-tuning, 2025.
Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents Understanding fine-tuning, 2025
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:55:37.990438Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation fc5c1f65-5e1e-4e47-a556-fd8833c077f4 · outbound
This paper cites Understanding the weakness of large language model agents within a complex android environment, 2024.
Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents Understanding the weakness of large language model agents within a complex android environment, 2024
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T16:55:37.671037Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3d521e6e-ec4f-4ad4-8e44-3421da47aba8 · outbound
This paper cites Jimenez, Alexander Wettig, Kilian Lieret, Shunyu Yao, Karthik Narasimhan, and Ofir Press.
Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents Jimenez, Alexander Wettig, Kilian Lieret, Shunyu Yao, Karthik Narasimhan, and Ofir Press
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T16:55:37.677185Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 190a0f47-0427-4534-a7e9-b9f313b5da66 · outbound
This paper cites Agentoccam: A simple yet strong baseline for llm-based web agents, 2025.
Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents Agentoccam: A simple yet strong baseline for llm-based web agents, 2025
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:55:37.950665Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d3a11972-18d3-439e-a79e-e70d1b9654de · outbound
This paper cites 𝜏-bench: A benchmark for tool-agent-user interaction in real-world domains, 2024.
Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents 𝜏-bench: A benchmark for tool-agent-user interaction in real-world domains, 2024
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:55:37.930898Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 93d28927-8b46-4f7f-8970-dc9d70d04cb1 · outbound
This paper cites Spider: A large-scale human-labeled dataset for complex and cross-domain semantic parsing and text-to-sql task, 2019.
Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents Spider: A large-scale human-labeled dataset for complex and cross-domain semantic parsing and text-to-sql task, 2019
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T16:55:37.695229Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a4ea67a2-5074-444c-a2dd-d2209624c79e · outbound
This paper cites Actionstudio: A lightweight framework for data and training of large action models, 2025.
Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents Actionstudio: A lightweight framework for data and training of large action models, 2025
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:55:37.897884Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b1462bc0-7ef7-4250-8806-9edf7565e55f · outbound
This paper cites xlam: A family of large action models to empower ai agent systems, 2024.
Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents xlam: A family of large action models to empower ai agent systems, 2024
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:55:37.878450Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 84cee6cb-77ee-4680-a0d3-a11da064c785 · outbound
This paper cites Which agent causes task failures and when? on automated failure attribution of llm multi-agent systems, 2025.
Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents Which agent causes task failures and when? on automated failure attribution of llm multi-agent systems, 2025
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:55:37.856997Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ae5a4be7-ffa5-41be-a566-094a4b63f5fb · outbound
This paper cites General modular harness for llm agents in multi-turn gaming envi- ronments, 2025.
Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents General modular harness for llm agents in multi-turn gaming envi- ronments, 2025
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:55:37.829622Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c5bb2f69-9050-4eee-8180-6390711571c8 · outbound
This paper cites Agent-safetybench: Evaluating the safety of llm agents, 2025.
Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents Agent-safetybench: Evaluating the safety of llm agents, 2025
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:55:37.809641Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation dd041582-31a9-4b24-8f56-458fb152ceb9 · outbound
This paper cites Xu, Hao Zhu, Xuhui Zhou, Robert Lo, Abishek Sridhar, Xianyi Cheng, Tianyue Ou, Yonatan Bisk, Daniel Fried, Uri Alon, and Graham Neubig.
Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents Xu, Hao Zhu, Xuhui Zhou, Robert Lo, Abishek Sridhar, Xianyi Cheng, Tianyue Ou, Yonatan Bisk, Daniel Fried, Uri Alon, and Graham Neubig
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T16:55:37.727098Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ff30ec0a-cfab-4912-baf9-bc08e2eeea00 · outbound
This paper cites Large language model enhanced text-to-sql generation: A survey, 2024.
Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents Large language model enhanced text-to-sql generation: A survey, 2024
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:55:37.778186Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Pith citing papers
Observation 5fc8b545-4daa-4caf-9018-d1ad5b35e4dd · inbound
Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided Verification cites this paper.
Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided Verification Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T12:30:53.870904Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d7d99522-aeb0-4016-b5c3-b86392a3243b · inbound
Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided Verification cites this paper.
Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided Verification Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents
Reference 17
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-16T12:30:53.791034Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 415f4973-8f73-49df-8cc2-755e667d9014 · inbound
Diagnosis-Driven Automatic Repair for Agentic Workflow via Symbolic Inference cites this paper.
Diagnosis-Driven Automatic Repair for Agentic Workflow via Symbolic Inference Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T06:24:52.086585Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0362ab3c-6976-46e9-864c-f84a53a5dc99 · inbound
Don't Offer What Can't Be Done: Deterministic Executability Gating for LLM Skill Selection at Scale cites this paper.
Don't Offer What Can't Be Done: Deterministic Executability Gating for LLM Skill Selection at Scale Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T00:39:16.340488Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fe62e75e-1728-43a8-81e8-54901ceac076 · inbound
SkillTV-Bench: Benchmarking How Well Judges Perform on Skill-Augmented Agentic Execution cites this paper.
SkillTV-Bench: Benchmarking How Well Judges Perform on Skill-Augmented Agentic Execution Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents
Reference 76
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T10:20:42.094789Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.