Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-08T11:51:02.872129Z
Paper Citation Record · LEDGER
Inference-Time Budget Control for LLM Search Agents
As of 6 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 6 inbound Pith citation observations for arXiv:2605.05701.
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, observed 2026-08-04T15:12:55.725591Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-04T16:59:59.061734Z
Reference resolution
65 of 65 outbound references displayed
- verified exact25
- verified fuzzy35
- unresolved2
- parse uncertain0
- malformed identifier2
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 7fa88460-0d13-4fc4-a908-033ce8236b02 · outbound
This paper cites Graph of thoughts: Solving elaborate problems with large language models.
Inference-Time Budget Control for LLM Search Agents Graph of thoughts: Solving elaborate problems with large language models
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:57:25.511340Z
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 e9becf73-6381-4272-9ef1-c8aeb297e7fb · outbound
This paper cites Why Do Multi-Agent LLM Systems Fail?.
Inference-Time Budget Control for LLM Search Agents Why Do Multi-Agent LLM Systems Fail?
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T05:42:59.242121Z
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 b4049003-fa3e-4a8f-b961-f170e49f377f · outbound
This paper cites FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance.
Inference-Time Budget Control for LLM Search Agents FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T19:56:45.568475Z
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 b1cfea7e-7775-4408-aefb-47e623658ae6 · outbound
This paper cites Agentverse: Facilitating multi-agent collaboration and exploring emergent behaviors.
Inference-Time Budget Control for LLM Search Agents Agentverse: Facilitating multi-agent collaboration and exploring emergent behaviors
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:57:25.507785Z
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 26d7b764-b2f6-46dd-8be0-2a2e5bc49394 · outbound
This paper cites Application-Aware Twin-in-the-Loop Planning for Federated Split Learning over Wireless Edge Networks.
Inference-Time Budget Control for LLM Search Agents Application-Aware Twin-in-the-Loop Planning for Federated Split Learning over Wireless Edge Networks
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T19:31:08.011348Z
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 fe8f26ea-871a-4a7a-bc72-dbab4b51c353 · outbound
This paper cites Promptbreeder: Self-referential self-improvement via prompt evolution.
Inference-Time Budget Control for LLM Search Agents Promptbreeder: Self-referential self-improvement via prompt evolution
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:57:25.514589Z
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 738bad69-8b10-4e8e-b8de-f6036cd44fde · outbound
This paper cites Token- budget-aware llm reasoning.
Inference-Time Budget Control for LLM Search Agents Token- budget-aware llm reasoning
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:57:25.496935Z
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 44c2701f-a4e2-47c6-9785-7010f78d5794 · outbound
This paper cites Constructing a multi-hop qa dataset for comprehensive evaluation of reasoning steps.
Inference-Time Budget Control for LLM Search Agents Constructing a multi-hop qa dataset for comprehensive evaluation of reasoning steps
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:57:25.465420Z
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 fd85c42a-c81a-4b4e-b710-30086a8691c4 · outbound
This paper cites Distribution-aligned decoding for efficient llm task adaptation.
Inference-Time Budget Control for LLM Search Agents Distribution-aligned decoding for efficient llm task adaptation
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T19:31:07.818796Z
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 632cb06a-8662-4a78-aa83-02fbf234de8c · outbound
This paper cites Optimizing agentic reasoning with retrieval via synthetic semantic information gain reward.
Inference-Time Budget Control for LLM Search Agents Optimizing agentic reasoning with retrieval via synthetic semantic information gain reward
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T19:31:07.742922Z
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 e1b4b690-40c7-43ca-aed3-37c5e47975e7 · outbound
This paper cites Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning.
Inference-Time Budget Control for LLM Search Agents Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
Reference 16
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T19:31:07.977352Z
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 73e34c41-4e0b-4c7e-883a-83e4758a5597 · outbound
This paper cites Joshi, Hanna Moazam, Heather Miller, Matei Zaharia, and Christopher Potts.
Inference-Time Budget Control for LLM Search Agents Joshi, Hanna Moazam, Heather Miller, Matei Zaharia, and Christopher Potts
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:57:25.461804Z
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 eda0a0b0-6057-478f-ad95-606090fa6f86 · outbound
This paper cites The cost of dynamic reasoning: Demystifying ai agents and test- time scaling from an ai infrastructure perspective.arXiv preprint arXiv:2506.04301.
Inference-Time Budget Control for LLM Search Agents The cost of dynamic reasoning: Demystifying ai agents and test- time scaling from an ai infrastructure perspective.arXiv preprint arXiv:2506.04301
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T19:31:07.913817Z
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 98adeb74-a775-4f8f-9b01-b87694550393 · outbound
This paper cites Search-o1: Agentic Search-Enhanced Large Reasoning Models.
Inference-Time Budget Control for LLM Search Agents Search-o1: Agentic Search-Enhanced Large Reasoning Models
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T17:36:27.820666Z
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 b6be8abe-7b42-477e-90ce-02af6a45cad0 · outbound
This paper cites Escape sky-high cost: Early-stopping self-consistency for multi-step reasoning.
Inference-Time Budget Control for LLM Search Agents Escape sky-high cost: Early-stopping self-consistency for multi-step reasoning
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:57:25.395834Z
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 5eca3f4f-d3ca-46b9-b98a-356a2f004abf · outbound
This paper cites Spend less, reason better: Budget-aware value tree search for llm agents.
Inference-Time Budget Control for LLM Search Agents Spend less, reason better: Budget-aware value tree search for llm agents
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:57:25.471654Z
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 2259c0d5-75e1-430e-a6e9-9b5d7c3f1b22 · outbound
This paper cites AutoFlow: Automated Workflow Generation for Large Language Model Agents.
Inference-Time Budget Control for LLM Search Agents AutoFlow: Automated Workflow Generation for Large Language Model Agents
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T19:31:07.801081Z
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 85a00d56-4aa7-4e9f-9662-c0a2908fa97f · outbound
This paper cites SelfBudgeter: Adaptive Token Allocation for Efficient LLM Reasoning.
Inference-Time Budget Control for LLM Search Agents SelfBudgeter: Adaptive Token Allocation for Efficient LLM Reasoning
Reference 25
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T19:31:07.823599Z
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 9fd27777-b1e2-4571-b879-204ff64e3c86 · outbound
This paper cites Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model.
Inference-Time Budget Control for LLM Search Agents Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model
Reference 26
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T19:31:07.790055Z
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 1230753e-8a15-48a7-a60f-334bbf44ff1f · outbound
This paper cites Eoh-s: Evolution of heuristic set using llms for automated heuristic design.
Inference-Time Budget Control for LLM Search Agents Eoh-s: Evolution of heuristic set using llms for automated heuristic design
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:57:25.500790Z
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 a6dcfaed-0b23-4d6a-9a75-dd5aa1734bbb · outbound
This paper cites Agentbench: Evaluating llms as agents.
Inference-Time Budget Control for LLM Search Agents Agentbench: Evaluating llms as agents
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:57:25.443347Z
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 117c092d-ed66-43ab-87f2-9b49b8a0b10d · outbound
This paper cites OctoTools: An Agentic Framework with Extensible Tools for Complex Reasoning.
Inference-Time Budget Control for LLM Search Agents OctoTools: An Agentic Framework with Extensible Tools for Complex Reasoning
Reference 29
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T19:31:07.769148Z
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 b9206f08-eb4b-4ef2-aa0c-c5c37f9572a0 · outbound
This paper cites Exploring Autonomous Agents: A Closer Look at Why They Fail When Completing Tasks.
Inference-Time Budget Control for LLM Search Agents Exploring Autonomous Agents: A Closer Look at Why They Fail When Completing Tasks
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T19:31:07.777341Z
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 19e30b6f-99e0-453a-90f1-c1f78528a1d9 · outbound
This paper cites Self-refine: Iterative refinement with self-feedback.
Inference-Time Budget Control for LLM Search Agents Self-refine: Iterative refinement with self-feedback
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:57:25.447108Z
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 ba6d76d0-84a4-4b7a-8ef4-cb063ba87e10 · outbound
This paper cites Introducing GPT-5.4 mini and nano.
Inference-Time Budget Control for LLM Search Agents Introducing GPT-5.4 mini and nano
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:57:25.439430Z
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 0897ca88-1202-4400-9ff5-7aa2349ffbde · outbound
This paper cites Smith, and Mike Lewis.
Inference-Time Budget Control for LLM Search Agents Smith, and Mike Lewis
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:57:25.449990Z
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 a5e849cd-e738-4cb7-81a3-22850863e2e9 · outbound
This paper cites Autoact: Automatic agent learning from scratch via self-planning.
Inference-Time Budget Control for LLM Search Agents Autoact: Automatic agent learning from scratch via self-planning
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:57:25.433540Z
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 23894351-1bab-4377-9f43-3138f705e276 · outbound
This paper cites Mobile edge intelligence for large language models: A contemporary survey.IEEE Communications Surveys & Tutorials, 27(6):3820–3860.
Inference-Time Budget Control for LLM Search Agents Mobile edge intelligence for large language models: A contemporary survey.IEEE Communications Surveys & Tutorials, 27(6):3820–3860
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:57:25.458647Z
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 f9356b53-9ede-4d4f-ba9c-cf088eddfd6f · outbound
This paper cites Trimcaching: Parameter-sharing edge caching for ai model downloading.IEEE Transactions on Networking.
Inference-Time Budget Control for LLM Search Agents Trimcaching: Parameter-sharing edge caching for ai model downloading.IEEE Transactions on Networking
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:57:25.427534Z
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 0f6fd9af-4733-41e4-b86b-8aa746574a7e · outbound
This paper cites Qwen3.5: Towards native multimodal agents, February 2026.
Inference-Time Budget Control for LLM Search Agents Qwen3.5: Towards native multimodal agents, February 2026
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:57:25.399501Z
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 177f0ffe-5668-473d-b4de-4127bda3d2d6 · outbound
This paper cites Toolformer: Language models can teach themselves to use tools.Advances in Neural Information Processing Systems, 36:68539–68551.
Inference-Time Budget Control for LLM Search Agents Toolformer: Language models can teach themselves to use tools.Advances in Neural Information Processing Systems, 36:68539–68551
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:57:25.475451Z
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 75b195c1-f6e0-4b7a-a8b3-f85b4e6efedf · outbound
This paper cites Agentsquare: Automatic llm agent search in modular design space.
Inference-Time Budget Control for LLM Search Agents Agentsquare: Automatic llm agent search in modular design space
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:57:25.486120Z
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 771a63aa-57b4-4664-9667-c00819d32c63 · outbound
This paper cites Thinking vs.
Inference-Time Budget Control for LLM Search Agents Thinking vs
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:57:25.489347Z
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 b9158379-78c8-412d-8c54-349c05f8f3b9 · outbound
This paper cites Reflexion: Language agents with verbal reinforcement learning.Advances in neural information processing systems, 36:8634–8652.
Inference-Time Budget Control for LLM Search Agents Reflexion: Language agents with verbal reinforcement learning.Advances in neural information processing systems, 36:8634–8652
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:57:25.479152Z
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 39ae41e7-aa19-449d-85e5-e328225f0634 · outbound
This paper cites Scaling llm test-time compute optimally can be more effective than scaling parameters for reasoning.
Inference-Time Budget Control for LLM Search Agents Scaling llm test-time compute optimally can be more effective than scaling parameters for reasoning
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:57:25.482423Z
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 38bf1593-e91b-4035-853e-16ba9b57d075 · outbound
This paper cites an unresolved cited work.
Inference-Time Budget Control for LLM Search Agents Unresolved cited work
Reference 47
- Resolution
- unresolved
- raw_fallback, observed 2026-05-26T13:57:25.430339Z
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 3c278cbc-f216-498d-b8c9-552aad428612 · outbound
This paper cites Proagentbench: Evaluating llm agents for proactive assistance with real-world data.
Inference-Time Budget Control for LLM Search Agents Proagentbench: Evaluating llm agents for proactive assistance with real-world data
Reference 48
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T19:31:07.831858Z
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 e54533e3-3bd3-436a-b98c-b0db7e17bdcf · outbound
This paper cites ♫ M u S i Q ue: Multihop Questions via Single-hop Question Composition.
Inference-Time Budget Control for LLM Search Agents ♫ M u S i Q ue: Multihop Questions via Single-hop Question Composition
Reference 49
- Resolution
- verified exact
- doi, observed 2026-05-08T21:44:17.043362Z
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 f28dbaee-bf32-4fe6-8325-5e44f69cc6e7 · outbound
This paper cites Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions.
Inference-Time Budget Control for LLM Search Agents Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions
Reference 50
- Resolution
- verified exact
- doi, observed 2026-05-08T21:44:17.056840Z
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 6ab7035b-d713-40f6-af68-74050f6aa35c · outbound
This paper cites Reasoning aware self-consistency: Leveraging reasoning paths for efficient LLM sampling.
Inference-Time Budget Control for LLM Search Agents Reasoning aware self-consistency: Leveraging reasoning paths for efficient LLM sampling
Reference 51
- Resolution
- verified exact
- doi, observed 2026-05-08T21:44:17.035955Z
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 4d144f9c-1ab1-4755-a717-64f16523a6bb · outbound
This paper cites Voyager: An Open-Ended Embodied Agent with Large Language Models.
Inference-Time Budget Control for LLM Search Agents Voyager: An Open-Ended Embodied Agent with Large Language Models
Reference 52
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T19:31:07.865501Z
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 1d7755e6-8f5f-42a3-831a-0f9ec6064771 · outbound
This paper cites Xing, and Zhiting Hu.
Inference-Time Budget Control for LLM Search Agents Xing, and Zhiting Hu
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:57:25.436291Z
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 732a9823-037b-4245-bf05-5c5bc15d5307 · outbound
This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.
Inference-Time Budget Control for LLM Search Agents Self-Consistency Improves Chain of Thought Reasoning in Language Models
Reference 55
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T19:31:07.967349Z
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 1c6a0ad6-d504-4fa3-a2a8-a845992dc0bf · outbound
This paper cites BrowseComp: A Simple Yet Challenging Benchmark for Browsing Agents.
Inference-Time Budget Control for LLM Search Agents BrowseComp: A Simple Yet Challenging Benchmark for Browsing Agents
Reference 56
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T07:44:32.193354Z
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 2bbb24a8-5a0b-4821-aef0-b33e86fd2881 · outbound
This paper cites From decoding to meta-generation: Inference-time algorithms for large language models.Trans.
Inference-Time Budget Control for LLM Search Agents From decoding to meta-generation: Inference-time algorithms for large language models.Trans
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:57:25.493090Z
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 83517c4b-af20-4fce-96e1-5fea4cf852ed · outbound
This paper cites Lifecycle-Aware Federated Continual Learning in Mobile Autonomous Systems.
Inference-Time Budget Control for LLM Search Agents Lifecycle-Aware Federated Continual Learning in Mobile Autonomous Systems
Reference 59
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T19:31:07.808571Z
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 fef281da-90e3-4d3f-97f2-54e7a03818d4 · outbound
This paper cites A review of continual learning in edge ai.IEEE Transactions on Network Science and Engineering.
Inference-Time Budget Control for LLM Search Agents A review of continual learning in edge ai.IEEE Transactions on Network Science and Engineering
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:57:25.424291Z
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 9d99e1ee-161f-4196-ad5b-8dbcaf82c991 · outbound
This paper cites Osworld: Benchmarking multimodal agents for open-ended tasks in real computer environments.Advances in Neural Information Processing Systems, 37:52040–52094.
Inference-Time Budget Control for LLM Search Agents Osworld: Benchmarking multimodal agents for open-ended tasks in real computer environments.Advances in Neural Information Processing Systems, 37:52040–52094
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:57:25.420603Z
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 506dcde7-2fe3-4ad6-a141-ddff3bbcad6f · outbound
This paper cites Hyevo: Self-evolving hybrid agentic workflows for efficient reasoning.
Inference-Time Budget Control for LLM Search Agents Hyevo: Self-evolving hybrid agentic workflows for efficient reasoning
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:57:25.384125Z
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 7b7f50e8-f85e-44c4-9832-4999f59579a6 · outbound
This paper cites Qwen3 Technical Report.
Inference-Time Budget Control for LLM Search Agents Qwen3 Technical Report
Reference 64
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T19:31:07.922368Z
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 ffac4acd-d555-49b3-b9fc-8c6980a2df58 · outbound
This paper cites Swe-agent: Agent-computer interfaces enable automated software engineering.Advances in Neural Information Processing Systems, 37:50528–50652.
Inference-Time Budget Control for LLM Search Agents Swe-agent: Agent-computer interfaces enable automated software engineering.Advances in Neural Information Processing Systems, 37:50528–50652
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:57:25.416286Z
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 a9a94d47-2a69-45cf-ac1d-7adfe2eb7885 · outbound
This paper cites an unresolved cited work.
Inference-Time Budget Control for LLM Search Agents Unresolved cited work
Reference 66
- Resolution
- unresolved
- raw_fallback, observed 2026-05-26T13:57:25.468328Z
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 6aa9e6eb-f811-4187-b62d-3395e349a04a · outbound
This paper cites Tree of thoughts: Deliberate problem solving with large language models.Advances in neural informa- tion processing systems, 36:11809–11822.
Inference-Time Budget Control for LLM Search Agents Tree of thoughts: Deliberate problem solving with large language models.Advances in neural informa- tion processing systems, 36:11809–11822
Reference 67
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:57:25.411603Z
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 c62402ea-2839-4df6-9424-87440d561bc9 · outbound
This paper cites React: Synergizing reasoning and acting in language models.
Inference-Time Budget Control for LLM Search Agents React: Synergizing reasoning and acting in language models
Reference 68
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:57:25.407290Z
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 3859dbbd-139a-4a87-baf6-7ac729616fab · outbound
This paper cites Evoflow: Evolving diverse agentic workflows on the fly.
Inference-Time Budget Control for LLM Search Agents Evoflow: Evolving diverse agentic workflows on the fly
Reference 69
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:57:25.453985Z
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 6362016a-f58e-42b1-bb95-16287ce2417e · outbound
This paper cites Aflow: Automating agentic workflow generation.
Inference-Time Budget Control for LLM Search Agents Aflow: Automating agentic workflow generation
Reference 70
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:57:25.403482Z
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 f03e759e-2f40-48f2-b76f-d1863644d25e · outbound
This paper cites EcoAssistant: Using LLM Assistant More Affordably and Accurately.
Inference-Time Budget Control for LLM Search Agents EcoAssistant: Using LLM Assistant More Affordably and Accurately
Reference 71
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T19:31:07.850133Z
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 0c6c0a0d-fe57-46bf-9d73-f4a9fd3bf379 · outbound
This paper cites Cost-awareness in tree-search llm planning: A systematic study.
Inference-Time Budget Control for LLM Search Agents Cost-awareness in tree-search llm planning: A systematic study
Reference 73
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:57:25.392463Z
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 640c0e4e-0b6b-486e-9db7-dfa84b3d8f43 · outbound
This paper cites Mermaidflow: Redefining agentic workflow generation via safety- constrained evolutionary programming.
Inference-Time Budget Control for LLM Search Agents Mermaidflow: Redefining agentic workflow generation via safety- constrained evolutionary programming
Reference 74
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:57:25.388667Z
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 91c777a3-c7e4-4b89-b0ee-b220f0b1c40f · outbound
This paper cites Debug like a human: A large language model debugger via verifying runtime execution step by step.
Inference-Time Budget Control for LLM Search Agents Debug like a human: A large language model debugger via verifying runtime execution step by step
Reference 75
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:57:25.504127Z
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 61df1bb9-1931-4108-9fe4-752bcec336aa · outbound
This paper cites Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models.
Inference-Time Budget Control for LLM Search Agents Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models
Reference 76
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T23:26:04.564922Z
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 e15261fd-9b63-4759-8fb9-1fa71f3bd1f3 · outbound
This paper cites WebArena: A Realistic Web Environment for Building Autonomous Agents.
Inference-Time Budget Control for LLM Search Agents WebArena: A Realistic Web Environment for Building Autonomous Agents
Reference 77
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T19:31:07.747798Z
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 0601ba42-504c-42ff-b7f7-86680d6627e3 · outbound
This paper cites OAgents: An Empirical Study of Building Effective Agents.
Inference-Time Budget Control for LLM Search Agents OAgents: An Empirical Study of Building Effective Agents
Reference 78
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T19:31:07.878589Z
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 c5fc1cda-b125-4d2d-9bed-ebcda73f4202 · outbound
This paper cites Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment.
Inference-Time Budget Control for LLM Search Agents Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment
Reference 79
- Resolution
- malformed identifier
- doi, observed 2026-05-08T22:45:09.901754Z
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 782feeaa-f415-49e3-a1e3-c9b58861e895 · outbound
This paper cites Scaling Test-time Compute for LLM Agents.
Inference-Time Budget Control for LLM Search Agents Scaling Test-time Compute for LLM Agents
Reference 80
- Resolution
- malformed identifier
- arxiv_id, observed 2026-05-11T19:31:07.932732Z
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
Observation a425f1f5-5fe8-4f41-afb7-74f803623184 · inbound
Unified Context Evolution for LLM Agents cites this paper.
Unified Context Evolution for LLM Agents Inference-Time Budget Control for LLM Search Agents
Reference 22
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T22:56:21.171142Z
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 5586d767-1df5-4783-804d-81a5f62c7000 · inbound
Forget to Improve: On-Device LLM-Agent Continual Learning via Budget-Curated Memory cites this paper.
Forget to Improve: On-Device LLM-Agent Continual Learning via Budget-Curated Memory Inference-Time Budget Control for LLM Search Agents
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-07-04T16:59:59.063092Z
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 7fe06c23-47dd-42fc-b1b0-49fa5f01a244 · inbound
Budget-Aware LLM Discovery via Cost-Calibrated Frontier Utility cites this paper.
Budget-Aware LLM Discovery via Cost-Calibrated Frontier Utility Inference-Time Budget Control for LLM Search Agents
Reference 2026
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T19:53:04.499882Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9c9dfcf1-a7b9-4330-a27d-3c671356740e · inbound
Budget-Aware LLM Discovery via Cost-Calibrated Frontier Utility cites this paper.
Budget-Aware LLM Discovery via Cost-Calibrated Frontier Utility Inference-Time Budget Control for LLM Search Agents
Reference 2026
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T10:47:32.751238Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 827d149e-34e8-4906-b16e-83d27f597f3e · inbound
CrystalMem: Elastic Memory for Self-Evolving LLM Agents via Knowledge Crystallization cites this paper.
CrystalMem: Elastic Memory for Self-Evolving LLM Agents via Knowledge Crystallization Inference-Time Budget Control for LLM Search Agents
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T00:51:14.577335Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 51bbdbbe-35da-4e45-b082-848f3d6ee97e · inbound
Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents cites this paper.
Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents Inference-Time Budget Control for LLM Search Agents
Reference 86
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T15:12:55.725591Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.