Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
TDAG: A Multi-Agent Framework based on Dynamic Task Decomposition and Agent Generation
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2402.10178.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T22:33:52.335624Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T04:18:27.748280Z
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 04391f85-37cd-4123-82f2-a2c0171700fc · inbound
LLM Agents can Autonomously Exploit One-day Vulnerabilities cites this paper.
LLM Agents can Autonomously Exploit One-day Vulnerabilities TDAG: A Multi-Agent Framework based on Dynamic Task Decomposition and Agent Generation
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T04:18:27.751448Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation ab8aaa4c-7330-4f47-a4a6-04059ce3e22a · inbound
Adaptable and Precise: Enterprise-Scenario LLM Function-Calling Capability Training Pipeline cites this paper.
Adaptable and Precise: Enterprise-Scenario LLM Function-Calling Capability Training Pipeline TDAG: A Multi-Agent Framework based on Dynamic Task Decomposition and Agent Generation
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T11:17:26.838332Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2c39519e-8f59-4a25-b951-7d4b23dd6400 · inbound
Flow: Modularized Agentic Workflow Automation cites this paper.
Flow: Modularized Agentic Workflow Automation TDAG: A Multi-Agent Framework based on Dynamic Task Decomposition and Agent Generation
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:37:40.443925Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7d9a7e0e-6b1e-461c-a986-e0cd283ca649 · inbound
AdaptBot: Combining LLM with Knowledge Graphs and Human Input for Generic-to-Specific Task Decomposition and Knowledge Refinement cites this paper.
AdaptBot: Combining LLM with Knowledge Graphs and Human Input for Generic-to-Specific Task Decomposition and Knowledge Refinement TDAG: A Multi-Agent Framework based on Dynamic Task Decomposition and Agent Generation
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T13:31:47.262173Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9485f337-5695-47c9-aa58-cf01a788436a · inbound
Adaptive Graph of Thoughts: Test-Time Adaptive Reasoning Unifying Chain, Tree, and Graph Structures cites this paper.
Adaptive Graph of Thoughts: Test-Time Adaptive Reasoning Unifying Chain, Tree, and Graph Structures TDAG: A Multi-Agent Framework based on Dynamic Task Decomposition and Agent Generation
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T20:25:49.503621Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a247f233-06a2-41c3-b00a-6936220a6bc1 · inbound
RedTeamLLM: an Agentic AI framework for offensive security cites this paper.
RedTeamLLM: an Agentic AI framework for offensive security TDAG: A Multi-Agent Framework based on Dynamic Task Decomposition and Agent Generation
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:33:52.335624Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cd23210d-cf3a-4a93-bd89-b8e0d1e1990b · inbound
Single-agent or Multi-agent Systems? Why Not Both? cites this paper.
Single-agent or Multi-agent Systems? Why Not Both? TDAG: A Multi-Agent Framework based on Dynamic Task Decomposition and Agent Generation
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:38:04.341258Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1263b38c-1d68-4a86-ae87-cd8b87099c85 · inbound
COALESCE: Economic and Security Dynamics of Skill-Based Task Outsourcing Among Team of Autonomous LLM Agents cites this paper.
COALESCE: Economic and Security Dynamics of Skill-Based Task Outsourcing Among Team of Autonomous LLM Agents TDAG: A Multi-Agent Framework based on Dynamic Task Decomposition and Agent Generation
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:38:15.506602Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.