Paper Citation Record · LEDGER

3D Vision and Language Pretraining with Large-Scale Synthetic Data

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2407.06084.

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

pith.paper-citation-record.v1
2407.06084 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:58:28.426729Z

measured 0 of 1 external citation measurements

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 51be96d3-3c84-41b3-a576-df7cf73126f6 · inbound

Masked Point-Entity Contrast for Open-Vocabulary 3D Scene Understanding cites this paper.

Masked Point-Entity Contrast for Open-Vocabulary 3D Scene Understanding 3D Vision and Language Pretraining with Large-Scale Synthetic Data

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-16T05:58:28.426729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+00:00.