Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
3D Vision and Language Pretraining with Large-Scale Synthetic Data
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2407.06084.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T21:11:41.518057Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-16T20:38:24.849071Z
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 082210d5-5156-446f-846e-b2e69e8d03a2 · inbound
GaussianVLM: Scene-centric 3D Vision-Language Models using Language-aligned Gaussian Splats for Embodied Reasoning and Beyond cites this paper.
GaussianVLM: Scene-centric 3D Vision-Language Models using Language-aligned Gaussian Splats for Embodied Reasoning and Beyond 3D Vision and Language Pretraining with Large-Scale Synthetic Data
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:11:41.518057Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0f75b524-9531-4b50-afc4-d6cb8250b81d · inbound
Chorus: Multi-Teacher Pretraining for Holistic 3D Gaussian Scene Encoding cites this paper.
Chorus: Multi-Teacher Pretraining for Holistic 3D Gaussian Scene Encoding 3D Vision and Language Pretraining with Large-Scale Synthetic Data
Reference 59
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T20:38:24.850840Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 502f1c00-f54c-4c55-9ba3-b43cbde4626b · inbound
OmniVTG: A Large-Scale Dataset and Training Paradigm for Open-World Video Temporal Grounding cites this paper.
OmniVTG: A Large-Scale Dataset and Training Paradigm for Open-World Video Temporal Grounding 3D Vision and Language Pretraining with Large-Scale Synthetic Data
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T23:31:15.746451Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.