Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
OmAgent: A Multi-modal Agent Framework for Complex Video Understanding with Task Divide-and-Conquer
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2406.16620.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:29:19.180784Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-15T16:20:09.935203Z
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 a763b4dd-309a-469e-97ae-4bcfc830733a · inbound
Unifying Language Agent Algorithms with Graph-based Orchestration Engine for Reproducible Agent Research cites this paper.
Unifying Language Agent Algorithms with Graph-based Orchestration Engine for Reproducible Agent Research OmAgent: A Multi-modal Agent Framework for Complex Video Understanding with Task Divide-and-Conquer
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:29:19.180784Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9fb880f2-dc92-4e74-840c-74ba33e7b7f9 · inbound
ReAgent-V: A Reward-Driven Multi-Agent Framework for Video Understanding cites this paper.
ReAgent-V: A Reward-Driven Multi-Agent Framework for Video Understanding OmAgent: A Multi-modal Agent Framework for Complex Video Understanding with Task Divide-and-Conquer
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:52:05.252358Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a9ac7489-b3d6-4f32-920e-63af69d2677e · inbound
HAWK: A Hierarchical Workflow Framework for Multi-Agent Collaboration cites this paper.
HAWK: A Hierarchical Workflow Framework for Multi-Agent Collaboration OmAgent: A Multi-modal Agent Framework for Complex Video Understanding with Task Divide-and-Conquer
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:58:43.265046Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 48af6161-facf-47ea-ba7e-40949260274e · inbound
A Survey on Agent Workflow -- Status and Future cites this paper.
A Survey on Agent Workflow -- Status and Future OmAgent: A Multi-modal Agent Framework for Complex Video Understanding with Task Divide-and-Conquer
Reference 90
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T05:52:42.081782Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b5006b62-ef59-4931-9699-9a836a6fca2b · inbound
Murakkab: Resource-Efficient Agentic Workflow Orchestration in Cloud Platforms cites this paper.
Murakkab: Resource-Efficient Agentic Workflow Orchestration in Cloud Platforms OmAgent: A Multi-modal Agent Framework for Complex Video Understanding with Task Divide-and-Conquer
Reference 83
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T17:19:07.255847Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 042c3d9b-1346-4b04-96af-65f5656c9242 · inbound
Benchmarking Compound AI Applications for Hardware-Software Co-Design cites this paper.
Benchmarking Compound AI Applications for Hardware-Software Co-Design OmAgent: A Multi-modal Agent Framework for Complex Video Understanding with Task Divide-and-Conquer
Reference 35
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T16:20:09.938510Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 4e4a0f4a-5c21-42ce-93bc-4865f5ada557 · inbound
HiCrew: Hierarchical Reasoning for Long-Form Video Understanding via Question-Aware Multi-Agent Collaboration cites this paper.
HiCrew: Hierarchical Reasoning for Long-Form Video Understanding via Question-Aware Multi-Agent Collaboration OmAgent: A Multi-modal Agent Framework for Complex Video Understanding with Task Divide-and-Conquer
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T14:26:02.271942Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.