Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
VideoDreamer: Customized Multi-Subject Text-to-Video Generation with Disen-Mix Finetuning on Language-Video Foundation Models
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.00990.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:00:57.039138Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T11:11:03.884231Z
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 a7ccfdea-b328-485b-9aa7-2f6d59470f66 · inbound
MOVi: Training-free Text-conditioned Multi-Object Video Generation cites this paper.
MOVi: Training-free Text-conditioned Multi-Object Video Generation VideoDreamer: Customized Multi-Subject Text-to-Video Generation with Disen-Mix Finetuning on Language-Video Foundation Models
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:00:57.039138Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation faffe768-9282-4961-a062-2db305ea5b2b · inbound
Script-a-Video: Deep Structured Audio-visual Captions via Factorized Streams and Relational Grounding cites this paper.
Script-a-Video: Deep Structured Audio-visual Captions via Factorized Streams and Relational Grounding VideoDreamer: Customized Multi-Subject Text-to-Video Generation with Disen-Mix Finetuning on Language-Video Foundation Models
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T11:11:03.887978Z
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.