Paper Citation Record · LEDGER

Enhancing LLM-Based Agents via Global Planning and Hierarchical Execution

As of 23 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 7 inbound Pith citation observations for arXiv:2504.16563.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2504.16563 v3

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:03:13.774248Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T13:05:30.347550Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-17T15:14:26.089280Z

Reference resolution

28 of 28 outbound references displayed

verified exact0
verified fuzzy9
unresolved19
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1b958850-6463-4674-b36c-c61cb9bf303d · outbound

This paper cites : A survey on large language model based autonomous agents.

Enhancing LLM-Based Agents via Global Planning and Hierarchical Execution : A survey on large language model based autonomous agents

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T11:03:13.640858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 872933dd-5982-4756-be02-16dd96918a6c · outbound

This paper cites : Autowebglm: A large language model-based web navigating agent.

Enhancing LLM-Based Agents via Global Planning and Hierarchical Execution : Autowebglm: A large language model-based web navigating agent

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:03:14.220592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ef28a97e-072f-439b-80bd-f8456b257b6a · outbound

This paper cites Advances in Neural Information Processing Systems 36, 68539–68551 (2023).

Enhancing LLM-Based Agents via Global Planning and Hierarchical Execution Advances in Neural Information Processing Systems 36, 68539–68551 (2023)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:03:14.204660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a5bce91e-7193-4de6-b661-65e047be2d2b · outbound

This paper cites GPT-4 Technical Report.

Enhancing LLM-Based Agents via Global Planning and Hierarchical Execution GPT-4 Technical Report

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T11:03:13.655821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d5c009a-36c0-459d-a2c4-12889446eab1 · outbound

This paper cites DeepSeek-V3 Technical Report.

Enhancing LLM-Based Agents via Global Planning and Hierarchical Execution DeepSeek-V3 Technical Report

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T11:03:13.660963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e3905df-924b-4d2d-a95e-b1d20b859b60 · outbound

This paper cites Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models.

Enhancing LLM-Based Agents via Global Planning and Hierarchical Execution Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T11:03:13.666047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f830a734-825f-4236-9820-f311a36bf49c · outbound

This paper cites In: International Conference on Learning Representations (ICLR) (2023).

Enhancing LLM-Based Agents via Global Planning and Hierarchical Execution In: International Conference on Learning Representations (ICLR) (2023)

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T11:03:13.671674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8721d825-f033-46e8-b90e-f7788d99a099 · outbound

This paper cites In: Forty-first International Conference on Machine Learning (2024).

Enhancing LLM-Based Agents via Global Planning and Hierarchical Execution In: Forty-first International Conference on Machine Learning (2024)

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T11:03:13.676239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb3fa964-e52d-4555-a526-8486d8806aac · outbound

This paper cites In: International Conference on Applied Engineering and Natural Sciences, vol.

Enhancing LLM-Based Agents via Global Planning and Hierarchical Execution In: International Conference on Applied Engineering and Natural Sciences, vol

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:03:14.167990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 986437fd-5714-45e9-84f9-7bf35d047ad7 · outbound

This paper cites CaseGen: A Benchmark for Multi-Stage Legal Case Documents Generation.

Enhancing LLM-Based Agents via Global Planning and Hierarchical Execution CaseGen: A Benchmark for Multi-Stage Legal Case Documents Generation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T11:03:13.685870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6f6341f-9652-4362-8d7b-6c11c561cb9a · outbound

This paper cites : Agentbench: Evaluating llms as agents.

Enhancing LLM-Based Agents via Global Planning and Hierarchical Execution : Agentbench: Evaluating llms as agents

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:03:14.152613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c95a90f0-9106-44bf-86a6-a241768a327b · outbound

This paper cites LegalAgentBench: Evaluating LLM Agents in Legal Domain.

Enhancing LLM-Based Agents via Global Planning and Hierarchical Execution LegalAgentBench: Evaluating LLM Agents in Legal Domain

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T11:03:13.696410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6daa218-b4a1-4662-9a80-e906bdeb72cf · outbound

This paper cites ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools.

Enhancing LLM-Based Agents via Global Planning and Hierarchical Execution ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T11:03:13.701600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d810fd7f-a111-4f56-83fa-df877e19fca0 · outbound

This paper cites GLM-130B: An Open Bilingual Pre-trained Model.

Enhancing LLM-Based Agents via Global Planning and Hierarchical Execution GLM-130B: An Open Bilingual Pre-trained Model

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T11:03:13.706646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f18d0ac3-98a9-4ab0-9d3f-bb9e35d5d370 · outbound

This paper cites Qwen Technical Report.

Enhancing LLM-Based Agents via Global Planning and Hierarchical Execution Qwen Technical Report

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T11:03:13.711848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff9e4930-2e57-4e5a-ad31-a98295e80663 · outbound

This paper cites : Language models are unsupervised multitask learners.

Enhancing LLM-Based Agents via Global Planning and Hierarchical Execution : Language models are unsupervised multitask learners

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T11:03:13.717014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e6d34ff-7baa-4dad-96dc-3039af0a04bf · outbound

This paper cites : Training language models to follow instructions with human feedback.

Enhancing LLM-Based Agents via Global Planning and Hierarchical Execution : Training language models to follow instructions with human feedback

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:03:14.126070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 76db2539-77cf-4231-b9f8-4f553343994e · outbound

This paper cites Finetuned Language Models Are Zero-Shot Learners.

Enhancing LLM-Based Agents via Global Planning and Hierarchical Execution Finetuned Language Models Are Zero-Shot Learners

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-16T11:03:13.726874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76121304-1ea7-457d-a605-3772d6c990d1 · outbound

This paper cites Advances in neural information processing systems 35, 24824–24837 (2022).

Enhancing LLM-Based Agents via Global Planning and Hierarchical Execution Advances in neural information processing systems 35, 24824–24837 (2022)

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T11:03:13.731693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2d3bd77-7c4d-4122-a530-d3adf8f16936 · outbound

This paper cites Voyager: An Open-Ended Embodied Agent with Large Language Models.

Enhancing LLM-Based Agents via Global Planning and Hierarchical Execution Voyager: An Open-Ended Embodied Agent with Large Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T11:03:13.736164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c0a39f4-2345-4095-a829-dea956101b10 · outbound

This paper cites TaskWeaver: A Code-First Agent Framework.

Enhancing LLM-Based Agents via Global Planning and Hierarchical Execution TaskWeaver: A Code-First Agent Framework

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T11:03:13.741305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4adebae2-aa55-46db-836e-b3d034183ab1 · outbound

This paper cites GPT-4o System Card.

Enhancing LLM-Based Agents via Global Planning and Hierarchical Execution GPT-4o System Card

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T11:03:13.746208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7c17f94-d1ca-40f3-9827-cb024c3213b7 · outbound

This paper cites Advances in Neural Information Processing Systems 36, 8634–8652 (2023).

Enhancing LLM-Based Agents via Global Planning and Hierarchical Execution Advances in Neural Information Processing Systems 36, 8634–8652 (2023)

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:03:14.098140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 364f6154-d942-420f-849f-e15a6087abe3 · outbound

This paper cites Thinking, Acting, and Observing.

Enhancing LLM-Based Agents via Global Planning and Hierarchical Execution Thinking, Acting, and Observing

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:03:14.081366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9a60447f-9205-4830-b2b0-7d909ffbea64 · outbound

This paper cites an unresolved cited work.

Enhancing LLM-Based Agents via Global Planning and Hierarchical Execution Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-16T11:03:14.066390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 77d591fd-d169-41ca-b4a8-31dd1a12a120 · outbound

This paper cites You can filter, sort, sum, or iterate over queried data.

Enhancing LLM-Based Agents via Global Planning and Hierarchical Execution You can filter, sort, sum, or iterate over queried data

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:03:14.050727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation acd453c4-8982-447f-a390-447e4a5ba9bd · outbound

This paper cites an unresolved cited work.

Enhancing LLM-Based Agents via Global Planning and Hierarchical Execution Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-16T11:03:14.033656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d00fb4ab-440c-469f-8abb-0208239b8328 · outbound

This paper cites json [{{ “Thinking.

Enhancing LLM-Based Agents via Global Planning and Hierarchical Execution json [{{ “Thinking

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:03:14.017195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

Observation 9ffaa490-e50c-40b2-a1b9-a0b40417f6a7 · inbound

Agentic Web: Weaving the Next Web with AI Agents cites this paper.

Agentic Web: Weaving the Next Web with AI Agents Enhancing LLM-Based Agents via Global Planning and Hierarchical Execution

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T13:05:30.347550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8341fa60-eff8-44bd-9512-e71d262761da · inbound

Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory cites this paper.

Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory Enhancing LLM-Based Agents via Global Planning and Hierarchical Execution

Reference 229

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T23:13:15.642127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ef08cc22-cb84-439a-877d-b69667c53b67 · inbound

Agentic Reasoning for Large Language Models cites this paper.

Agentic Reasoning for Large Language Models Enhancing LLM-Based Agents via Global Planning and Hierarchical Execution

Reference 130

Resolution: verified exact; arxiv_id, observed 2026-05-17T15:14:26.092267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 63839d9e-e4ea-4800-aa34-9abb98e0ec5e · inbound

Security Considerations for Multi-agent Systems cites this paper.

Security Considerations for Multi-agent Systems Enhancing LLM-Based Agents via Global Planning and Hierarchical Execution

Reference 105

Resolution: verified exact; arxiv_id, observed 2026-05-15T14:15:55.191130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4c6c6daa-8861-4a05-8920-51483473e0ed · inbound

Tools as Continuous Flow for Evolving Agentic Reasoning cites this paper.

Tools as Continuous Flow for Evolving Agentic Reasoning Enhancing LLM-Based Agents via Global Planning and Hierarchical Execution

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-11T01:45:51.727690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2b2cb5d4-2c8e-4fac-b3f9-77cf3df5d956 · inbound

PIVOT: Bridging Planning and Execution in LLM Agents via Trajectory Refinement cites this paper.

PIVOT: Bridging Planning and Execution in LLM Agents via Trajectory Refinement Enhancing LLM-Based Agents via Global Planning and Hierarchical Execution

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-13T02:22:06.159621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a64cbcf5-9d2b-4256-b49e-0059a48bc395 · inbound

State-Centric Decision Process cites this paper.

State-Centric Decision Process Enhancing LLM-Based Agents via Global Planning and Hierarchical Execution

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-14T19:37:51.552012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.