Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-22T06:21:56.971204Z
Paper Citation Record · LEDGER
IdleSpec: Exploiting Idle Time via Speculative Planning for LLM Agents
As of 20 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 1 inbound Pith citation observation for arXiv:2605.22154.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-12T03:14:02.219678Z
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
33 of 33 outbound references displayed
- verified exact19
- verified fuzzy11
- unresolved0
- parse uncertain0
- malformed identifier1
- metadata mismatch2
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation a3742472-5bcb-471f-b6a5-484ead44c547 · outbound
This paper cites ReAct: Synergizing reasoning and acting in language models.
IdleSpec: Exploiting Idle Time via Speculative Planning for LLM Agents ReAct: Synergizing reasoning and acting in language models
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T06:24:41.750270Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 7e13be59-e675-4c39-87d0-87265bc85e17 · outbound
This paper cites Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks.
IdleSpec: Exploiting Idle Time via Speculative Planning for LLM Agents Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T06:24:40.511870Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 0cacc608-4d0a-411a-a76f-15d4f7f1cedc · outbound
This paper cites GAIA: a benchmark for general AI assistants.
IdleSpec: Exploiting Idle Time via Speculative Planning for LLM Agents GAIA: a benchmark for general AI assistants
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T06:24:41.756374Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 7b8a5970-3bbb-42c3-ac82-61710583773a · outbound
This paper cites Humanity's Last Exam.
IdleSpec: Exploiting Idle Time via Speculative Planning for LLM Agents Humanity's Last Exam
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T06:24:40.551430Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation ea3dbec2-4d56-4db2-a0bf-41b3b87ec3ab · outbound
This paper cites WebArena: A Realistic Web Environment for Building Autonomous Agents.
IdleSpec: Exploiting Idle Time via Speculative Planning for LLM Agents WebArena: A Realistic Web Environment for Building Autonomous Agents
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T06:24:40.507109Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 927b1983-ccbe-41f0-be3d-3f8a7df6f048 · outbound
This paper cites Mind2web: Towards a generalist agent for the web.Advances in Neural Information Processing Systems, 36:28091–28114.
IdleSpec: Exploiting Idle Time via Speculative Planning for LLM Agents Mind2web: Towards a generalist agent for the web.Advances in Neural Information Processing Systems, 36:28091–28114
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T06:24:41.759497Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 206c1e83-c8db-4542-8629-7d25f9723c57 · outbound
This paper cites SWE-bench: Can Language Models Resolve Real-World GitHub Issues?.
IdleSpec: Exploiting Idle Time via Speculative Planning for LLM Agents SWE-bench: Can Language Models Resolve Real-World GitHub Issues?
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T06:24:40.488362Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 85350ddd-64b2-4a6c-b328-e22f820dc274 · outbound
This paper cites MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering.
IdleSpec: Exploiting Idle Time via Speculative Planning for LLM Agents MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T06:24:40.483673Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 9cb65f2d-a483-46d3-af25-f4ea052c95be · outbound
This paper cites The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery.
IdleSpec: Exploiting Idle Time via Speculative Planning for LLM Agents The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T06:24:40.492749Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 222dd453-0e97-4756-826c-7c9af5db1af2 · outbound
This paper cites CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding Challenges.
IdleSpec: Exploiting Idle Time via Speculative Planning for LLM Agents CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding Challenges
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T06:24:40.459549Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 2d126fbc-da39-44de-b05f-8ef1dc014e1f · outbound
This paper cites Agent-as-Tool: A Study on the Hierarchical Decision Making with Reinforcement Learning.
IdleSpec: Exploiting Idle Time via Speculative Planning for LLM Agents Agent-as-Tool: A Study on the Hierarchical Decision Making with Reinforcement Learning
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T06:24:40.531043Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 81104cfc-72ad-4169-93fd-5b63373b8c1c · outbound
This paper cites Adaptation of agentic AI: A survey of post-training, memory, and skills.
IdleSpec: Exploiting Idle Time via Speculative Planning for LLM Agents Adaptation of agentic AI: A survey of post-training, memory, and skills
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T06:24:40.526067Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 57f2dcea-25b1-4baa-9286-07e3dba0e5ec · outbound
This paper cites Asynchronous LLM Function Calling.
IdleSpec: Exploiting Idle Time via Speculative Planning for LLM Agents Asynchronous LLM Function Calling
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T06:24:40.478868Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation a66a0761-dfb3-4662-b473-2d40739993a8 · outbound
This paper cites Sleep-time Compute: Beyond Inference Scaling at Test-time.
IdleSpec: Exploiting Idle Time via Speculative Planning for LLM Agents Sleep-time Compute: Beyond Inference Scaling at Test-time
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T06:24:40.463925Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation ca4940a2-acc6-4c83-b3e3-b619ae6feca2 · outbound
This paper cites Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation.
IdleSpec: Exploiting Idle Time via Speculative Planning for LLM Agents Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T06:24:40.498309Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 16b4f019-1098-4c22-ac80-49ac03b312b9 · outbound
This paper cites Chain-of-thought prompting elicits reasoning in large language models.
IdleSpec: Exploiting Idle Time via Speculative Planning for LLM Agents Chain-of-thought prompting elicits reasoning in large language models
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T06:24:41.754165Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation ecb73ab9-6c69-4cd5-9d70-10c52deae6a9 · outbound
This paper cites Pre-Act: Multi-Step Planning and Reasoning Improves Acting in LLM Agents.
IdleSpec: Exploiting Idle Time via Speculative Planning for LLM Agents Pre-Act: Multi-Step Planning and Reasoning Improves Acting in LLM Agents
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T06:24:40.502910Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation eb4776ef-c461-48c2-a7d2-eb1679f8f53f · outbound
This paper cites Toolformer: Language models can teach themselves to use tools.Advances in Neural Information Processing Systems, 36: 68539–68551.
IdleSpec: Exploiting Idle Time via Speculative Planning for LLM Agents Toolformer: Language models can teach themselves to use tools.Advances in Neural Information Processing Systems, 36: 68539–68551
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T06:24:41.745927Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 9cfde170-75d2-46ae-8c74-426c142aaa5a · outbound
This paper cites Tool learning with large language models: A survey.Frontiers of Computer Science, 19(8):198343.
IdleSpec: Exploiting Idle Time via Speculative Planning for LLM Agents Tool learning with large language models: A survey.Frontiers of Computer Science, 19(8):198343
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T06:24:41.742977Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation ec3e9bcc-83bb-4019-ab42-44c05881fd8b · outbound
This paper cites Magentic-One: A Generalist Multi-Agent System for Solving Complex Tasks.
IdleSpec: Exploiting Idle Time via Speculative Planning for LLM Agents Magentic-One: A Generalist Multi-Agent System for Solving Complex Tasks
Reference 20
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T06:24:40.559507Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 95bbe043-c1b0-43d9-9a80-e120356ef2f1 · outbound
This paper cites AgentOrchestra: Orchestrating Multi-Agent Intelligence with the Tool-Environment-Agent(TEA) Protocol.
IdleSpec: Exploiting Idle Time via Speculative Planning for LLM Agents AgentOrchestra: Orchestrating Multi-Agent Intelligence with the Tool-Environment-Agent(TEA) Protocol
Reference 21
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-29T02:04:54.387951Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 59027106-b42f-4814-9f0c-4852b74250e6 · outbound
This paper cites Multi-Agent Verification: Scaling Test-Time Compute with Multiple Verifiers.
IdleSpec: Exploiting Idle Time via Speculative Planning for LLM Agents Multi-Agent Verification: Scaling Test-Time Compute with Multiple Verifiers
Reference 22
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-22T06:24:40.516474Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation d9f9a210-0eac-4fb6-91bd-dd732e0e0559 · outbound
This paper cites Continuum: Efficient and Robust Multi-Turn LLM Agent Scheduling with KV Cache Time-to-Live.
IdleSpec: Exploiting Idle Time via Speculative Planning for LLM Agents Continuum: Efficient and Robust Multi-Turn LLM Agent Scheduling with KV Cache Time-to-Live
Reference 23
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T06:24:40.541045Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 0b0ed9f0-bbe7-4cb9-af42-6994f7e9284a · outbound
This paper cites Sutradhara: An Intelligent Orchestrator-Engine Co-design for Tool-based Agentic Inference.
IdleSpec: Exploiting Idle Time via Speculative Planning for LLM Agents Sutradhara: An Intelligent Orchestrator-Engine Co-design for Tool-based Agentic Inference
Reference 24
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T06:24:40.555700Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation d6ef75c6-db98-4274-809e-241a813d38c3 · outbound
This paper cites Speculative actions: A lossless framework for faster AI agents.
IdleSpec: Exploiting Idle Time via Speculative Planning for LLM Agents Speculative actions: A lossless framework for faster AI agents
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T06:24:41.740322Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation fbabdb24-e506-40a8-9b72-f37b729bcec0 · outbound
This paper cites Optimizing agentic language model inference via speculative tool calls.
IdleSpec: Exploiting Idle Time via Speculative Planning for LLM Agents Optimizing agentic language model inference via speculative tool calls
Reference 26
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T06:24:40.520979Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 8daa69ba-033a-405f-9e8c-a00f719bc0b4 · outbound
This paper cites Interactive speculative planning: Enhance agent efficiency through co-design of system and user interface.
IdleSpec: Exploiting Idle Time via Speculative Planning for LLM Agents Interactive speculative planning: Enhance agent efficiency through co-design of system and user interface
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T06:24:41.748254Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 5fa9c98f-5c50-43d8-84e1-55ac7dd1a966 · outbound
This paper cites Analysis of thompson sampling for the multi-armed bandit problem.
IdleSpec: Exploiting Idle Time via Speculative Planning for LLM Agents Analysis of thompson sampling for the multi-armed bandit problem
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T06:24:41.752258Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 9847c3d3-f2bf-4878-bfff-f2fbe9fefaa5 · outbound
This paper cites Scaling Test-time Compute for LLM Agents.
IdleSpec: Exploiting Idle Time via Speculative Planning for LLM Agents Scaling Test-time Compute for LLM Agents
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T06:24:40.468558Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 4f8c48d2-936e-48ae-8c29-7a326fb2f776 · outbound
This paper cites OAgents: An Empirical Study of Building Effective Agents.
IdleSpec: Exploiting Idle Time via Speculative Planning for LLM Agents OAgents: An Empirical Study of Building Effective Agents
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T06:24:40.474558Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation ea9a42ae-674d-4ead-b9b3-4c1a7604ff7a · outbound
This paper cites The original prompt is designed for mathematical problem solving. Please minimally adapt it to better support {task}.
IdleSpec: Exploiting Idle Time via Speculative Planning for LLM Agents The original prompt is designed for mathematical problem solving. Please minimally adapt it to better support {task}
Reference 31
- Resolution
- malformed identifier
- raw_fallback, observed 2026-05-22T06:24:41.735284Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation c22c6bf0-afdc-4fe4-949e-dd2a6d554e75 · outbound
This paper cites years only.
IdleSpec: Exploiting Idle Time via Speculative Planning for LLM Agents years only
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T06:24:41.737936Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation a104eec5-02d9-4c0b-8bd1-17495dfba2bd · outbound
This paper cites Li Peng” as the unique match. 5.final_answer(.
IdleSpec: Exploiting Idle Time via Speculative Planning for LLM Agents Li Peng” as the unique match. 5.final_answer(
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T06:24:41.732049Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Pith citing papers
Observation bd29c8e2-a23e-4f92-b780-2e5488792c5d · inbound
SPORK: Self-Speculative Forking to Accelerate Agentic LLM Inference cites this paper.
SPORK: Self-Speculative Forking to Accelerate Agentic LLM Inference IdleSpec: Exploiting Idle Time via Speculative Planning for LLM Agents
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T03:14:02.219678Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.