Paper Citation Record · LEDGER

ReAgent-V: A Reward-Driven Multi-Agent Framework for Video Understanding

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2506.01300.

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

pith.paper-citation-record.v1
2506.01300 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T13:14:48.090658Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T16:39:57.778113Z

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 e6b80ed8-feae-4fbf-bb1c-b69d507d9c7f · inbound

DAG: A Dual Correlation Network for Time Series Forecasting with Exogenous Variables cites this paper.

DAG: A Dual Correlation Network for Time Series Forecasting with Exogenous Variables ReAgent-V: A Reward-Driven Multi-Agent Framework for Video Understanding

Reference 72

Resolution: verified exact; arxiv_id, observed 2026-05-18T15:31:33.406292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1771a2f9-43da-462e-bac9-3a53fa1657a0 · inbound

Hermes: A Multi-Scale Spatial-Temporal Hypergraph Network for Stock Time Series Forecasting cites this paper.

Hermes: A Multi-Scale Spatial-Temporal Hypergraph Network for Stock Time Series Forecasting ReAgent-V: A Reward-Driven Multi-Agent Framework for Video Understanding

Reference 77

Resolution: verified exact; arxiv_id, observed 2026-05-18T12:36:22.633218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7bb90a75-89c5-41aa-874e-7cffd7629122 · inbound

GLANCE: A Global-Local Coordination Multi-Agent Framework for Music-Grounded Non-Linear Video Editing cites this paper.

GLANCE: A Global-Local Coordination Multi-Agent Framework for Music-Grounded Non-Linear Video Editing ReAgent-V: A Reward-Driven Multi-Agent Framework for Video Understanding

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:20:51.103089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b3921a8d-93da-49c9-9b9f-542e6e097ea7 · 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 ReAgent-V: A Reward-Driven Multi-Agent Framework for Video Understanding

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:26:02.242836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 67121b98-4b0d-41c1-99b7-5b3181bee725 · inbound

Agentic Collaborative Cognition for Zero-Shot 3D Understanding cites this paper.

Agentic Collaborative Cognition for Zero-Shot 3D Understanding ReAgent-V: A Reward-Driven Multi-Agent Framework for Video Understanding

Reference 63

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T16:39:57.779695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 70a1566f-46d7-4825-b7de-c0e186576dab · inbound

Agentic Collaborative Cognition for Zero-Shot 3D Understanding cites this paper.

Agentic Collaborative Cognition for Zero-Shot 3D Understanding ReAgent-V: A Reward-Driven Multi-Agent Framework for Video Understanding

Reference 63

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T12:59:52.640164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 73db7383-415f-4ca2-9be8-7d65c81c02a8 · inbound

EVLA: An Electro-Aware Multimodal Assistant for Physically-Grounded Driving Reasoning and Control cites this paper.

EVLA: An Electro-Aware Multimodal Assistant for Physically-Grounded Driving Reasoning and Control ReAgent-V: A Reward-Driven Multi-Agent Framework for Video Understanding

Reference 89

Resolution: verified exact; arxiv_id, observed 2026-06-30T10:04:36.295073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 105f4180-394b-4e53-990c-2e7c1b0159e6 · inbound

A3M: Adaptive, Adversarial and Multi-Objective Learning for Strategic Bidding in Repeated Auctions cites this paper.

A3M: Adaptive, Adversarial and Multi-Objective Learning for Strategic Bidding in Repeated Auctions ReAgent-V: A Reward-Driven Multi-Agent Framework for Video Understanding

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-06-30T09:54:34.421694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2bad20b2-32ca-4641-8968-6c61e4ae1166 · inbound

Beyond Skepticism: Evaluating LLMs Pedagogical Intent Reasoning with the Adaptive Pedagogical Vigilance Framework cites this paper.

Beyond Skepticism: Evaluating LLMs Pedagogical Intent Reasoning with the Adaptive Pedagogical Vigilance Framework ReAgent-V: A Reward-Driven Multi-Agent Framework for Video Understanding

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-07-03T15:28:33.596585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 98e38a82-915f-4527-a8f8-5882a6c71685 · inbound

FedCausal-Dyn: A Causal-Dynamic Paradigm for Federated Learning under Dynamic Feature Drift cites this paper.

FedCausal-Dyn: A Causal-Dynamic Paradigm for Federated Learning under Dynamic Feature Drift ReAgent-V: A Reward-Driven Multi-Agent Framework for Video Understanding

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-14T17:36:18.728469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94a0d757-191e-49df-9044-6f0de5e6aec7 · inbound

Child-Oriented AIGC Video Risk Reviewing: A Benchmark and Knowledge-Supported Iterative Reasoning Framework cites this paper.

Child-Oriented AIGC Video Risk Reviewing: A Benchmark and Knowledge-Supported Iterative Reasoning Framework ReAgent-V: A Reward-Driven Multi-Agent Framework for Video Understanding

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-01T13:14:48.090658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.