Paper Citation Record · LEDGER

AgentGen: Enhancing Planning Abilities for Large Language Model based Agent via Environment and Task Generation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2408.00764.

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

pith.paper-citation-record.v1
2408.00764 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:22:06.147524Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T02:57:38.241251Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d2f2d871-0951-419d-94d3-722ba98d9446 · inbound

Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models cites this paper.

Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models AgentGen: Enhancing Planning Abilities for Large Language Model based Agent via Environment and Task Generation

Reference 276

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:40:41.629776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 96d7d0a2-1129-4914-8a9b-f598d2951c4e · inbound

From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review cites this paper.

From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review AgentGen: Enhancing Planning Abilities for Large Language Model based Agent via Environment and Task Generation

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-15T02:57:38.243294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0b5b9230-99c1-4f3c-9640-d40609ecf306 · inbound

X-WebAgentBench: A Multilingual Interactive Web Benchmark for Evaluating Global Agentic System cites this paper.

X-WebAgentBench: A Multilingual Interactive Web Benchmark for Evaluating Global Agentic System AgentGen: Enhancing Planning Abilities for Large Language Model based Agent via Environment and Task Generation

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T15:22:06.147524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04788b8c-aed7-4fdc-9642-9a53dbb1dd7f · inbound

Large Language Models for Planning: A Comprehensive and Systematic Survey cites this paper.

Large Language Models for Planning: A Comprehensive and Systematic Survey AgentGen: Enhancing Planning Abilities for Large Language Model based Agent via Environment and Task Generation

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-07T14:11:56.953356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87457872-452d-4681-a83a-e7d9e985fc23 · inbound

ManiTaskGen: A Comprehensive Task Generator for Benchmarking and Improving Vision-Language Agents on Embodied Decision-Making cites this paper.

ManiTaskGen: A Comprehensive Task Generator for Benchmarking and Improving Vision-Language Agents on Embodied Decision-Making AgentGen: Enhancing Planning Abilities for Large Language Model based Agent via Environment and Task Generation

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T13:53:57.326324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4cba2f8-b3b9-4ca3-96cd-faf58358ab76 · inbound

AgentDNS: A Root Domain Naming System for LLM Agents cites this paper.

AgentDNS: A Root Domain Naming System for LLM Agents AgentGen: Enhancing Planning Abilities for Large Language Model based Agent via Environment and Task Generation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T13:11:06.358532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6aa91158-e363-44bd-9de6-341a04b78bf7 · inbound

Understanding the Information Propagation Effects of Communication Topologies in LLM-based Multi-Agent Systems cites this paper.

Understanding the Information Propagation Effects of Communication Topologies in LLM-based Multi-Agent Systems AgentGen: Enhancing Planning Abilities for Large Language Model based Agent via Environment and Task Generation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T12:54:43.130407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90fa0509-8035-4ec1-8f23-c1bdc9561f78 · inbound

OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation cites this paper.

OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation AgentGen: Enhancing Planning Abilities for Large Language Model based Agent via Environment and Task Generation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T12:42:32.678440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7075c19d-3928-4696-92d9-216f700d1d63 · inbound

Self-Challenging Language Model Agents cites this paper.

Self-Challenging Language Model Agents AgentGen: Enhancing Planning Abilities for Large Language Model based Agent via Environment and Task Generation

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T11:40:12.166978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 443ff8df-0116-48ee-9f7d-fcf086d66aba · inbound

A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence cites this paper.

A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence AgentGen: Enhancing Planning Abilities for Large Language Model based Agent via Environment and Task Generation

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T22:23:15.456189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 36501121-d7b5-4b19-89eb-f6865d6eeabe · inbound

Can LLM-Reasoning Models Replace Classical Planning? A Benchmark Study cites this paper.

Can LLM-Reasoning Models Replace Classical Planning? A Benchmark Study AgentGen: Enhancing Planning Abilities for Large Language Model based Agent via Environment and Task Generation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T10:45:59.516565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a74e8a31-41a2-46ee-b059-42dd4d490b5e · inbound

Benchmarking LLM-Assisted Blue Teaming via Standardized Threat Hunting cites this paper.

Benchmarking LLM-Assisted Blue Teaming via Standardized Threat Hunting AgentGen: Enhancing Planning Abilities for Large Language Model based Agent via Environment and Task Generation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T14:42:57.447644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6842455b-529c-46a0-85d5-ce71f51b7998 · inbound

ValueFlow: Measuring the Propagation of Value Perturbations in Multi-Agent LLM Systems cites this paper.

ValueFlow: Measuring the Propagation of Value Perturbations in Multi-Agent LLM Systems AgentGen: Enhancing Planning Abilities for Large Language Model based Agent via Environment and Task Generation

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T03:17:23.437449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.