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Paper Citation Record · LEDGER

VRAgent-R1: Boosting Video Recommendation with MLLM-based Agents via Reinforcement Learning

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2507.02626.

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

pith.paper-citation-record.v1
2507.02626 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T03:30:33.547880Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T14:28:32.191399Z

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 132d98db-681f-453c-8c02-be8b69d6427b · inbound

HYDRA-X: Native Unified Multimodal Models with Holistic Visual Tokenizers cites this paper.

HYDRA-X: Native Unified Multimodal Models with Holistic Visual Tokenizers VRAgent-R1: Boosting Video Recommendation with MLLM-based Agents via Reinforcement Learning

Reference 125

Resolution
verified exact
arxiv_id, observed 2026-07-03T14:28:32.192754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-27T07:01:07.362430Z digest=sha256:efaa7edbab719a006f9c4706acda51355be3c6cbfed4fdd19be1c40bdc67559a

Observation b1811375-dcea-4ff1-a46a-efa589f2d289 · inbound

Autonomous Information Seeking: A Roadmap for Agentic Recommender Systems cites this paper.

Autonomous Information Seeking: A Roadmap for Agentic Recommender Systems VRAgent-R1: Boosting Video Recommendation with MLLM-based Agents via Reinforcement Learning

Reference 58

Resolution
unresolved
no resolver link, observed 2026-07-11T19:14:13.105401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:14:13.105401Z digest=sha256:278c5e5b85e13d48fee811e918a990d487420356227558bf7474882377249601

Observation 5805d1c6-11f2-414b-9a7f-d539fca235be · inbound

Twins: Learn to Predict Unified Representations with Focal Loss cites this paper.

Twins: Learn to Predict Unified Representations with Focal Loss VRAgent-R1: Boosting Video Recommendation with MLLM-based Agents via Reinforcement Learning

Reference 131

Resolution
unresolved
no resolver link, observed 2026-08-01T04:29:57.111627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T04:29:57.111627Z digest=sha256:b64ba60f5521cb69d7c328551c10ddb1cd922e403835be6e48a4473cc74062e5

Observation f10cab37-556f-4522-ab6c-a021264665b4 · inbound

RecoReward: Recommender-Guided Multimodal Description Generation for Recommendation cites this paper.

RecoReward: Recommender-Guided Multimodal Description Generation for Recommendation VRAgent-R1: Boosting Video Recommendation with MLLM-based Agents via Reinforcement Learning

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-01T01:13:58.899400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T01:13:58.899400Z digest=sha256:8ff61176f132ef84f5caefd27726b9944345cfe96813af5ed7993c1fdc131a6b

Observation b0f102fa-431a-46be-a074-4fb0e1c4dac1 · inbound

RecoReward: Recommender-Guided Multimodal Description Generation for Recommendation cites this paper.

RecoReward: Recommender-Guided Multimodal Description Generation for Recommendation VRAgent-R1: Boosting Video Recommendation with MLLM-based Agents via Reinforcement Learning

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-04T03:30:33.547880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T03:30:33.547880Z digest=sha256:33dbdd6f64a1b37ea29de21375dc99adad25544c6c34a7d4656824ac55c06f50