Paper Citation Record · LEDGER

3D-GRAND: A Million-Scale Dataset for 3D-LLMs with Better Grounding and Less Hallucination

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2406.05132.

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

pith.paper-citation-record.v1
2406.05132 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:52:39.169470Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T19:28:52.490598Z

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 bc72bc50-87ed-4809-9aa5-94633375f916 · inbound

PerLA: Perceptive 3D Language Assistant cites this paper.

PerLA: Perceptive 3D Language Assistant 3D-GRAND: A Million-Scale Dataset for 3D-LLMs with Better Grounding and Less Hallucination

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-12T05:52:39.169470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c3d2d28-f487-4537-897c-3bcef10e31c9 · inbound

LayoutVLM: Differentiable Optimization of 3D Layout via Vision-Language Models cites this paper.

LayoutVLM: Differentiable Optimization of 3D Layout via Vision-Language Models 3D-GRAND: A Million-Scale Dataset for 3D-LLMs with Better Grounding and Less Hallucination

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T23:48:15.239557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eaef4128-3b70-423e-ada1-6e307dfbd13e · inbound

ObjVariantEnsemble: Advancing Point Cloud LLM Evaluation in Challenging Scenes with Subtly Distinguished Objects cites this paper.

ObjVariantEnsemble: Advancing Point Cloud LLM Evaluation in Challenging Scenes with Subtly Distinguished Objects 3D-GRAND: A Million-Scale Dataset for 3D-LLMs with Better Grounding and Less Hallucination

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-11T11:54:12.260380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 113b5b40-d4b0-477c-b9f7-d05a9c4c79e5 · inbound

ViGiL3D: A Linguistically Diverse Dataset for 3D Visual Grounding cites this paper.

ViGiL3D: A Linguistically Diverse Dataset for 3D Visual Grounding 3D-GRAND: A Million-Scale Dataset for 3D-LLMs with Better Grounding and Less Hallucination

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-10T22:32:38.742812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba4c14e4-3ec0-4d57-bf35-ae7e34aae2ce · inbound

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds cites this paper.

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds 3D-GRAND: A Million-Scale Dataset for 3D-LLMs with Better Grounding and Less Hallucination

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-10T21:48:27.536522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 902165a0-6a26-4d05-ae92-bfeb755b600c · inbound

CoNav: Collaborative Cross-Modal Reasoning for Embodied Navigation cites this paper.

CoNav: Collaborative Cross-Modal Reasoning for Embodied Navigation 3D-GRAND: A Million-Scale Dataset for 3D-LLMs with Better Grounding and Less Hallucination

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-07T15:02:56.480933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e43dfb42-8727-4567-8a44-e6994a9b983f · inbound

SSR3D-LLM: Structured Spatial Reasoning via Latent Steps for Fine-Grained Grounding in Unified 3D-LLMs cites this paper.

SSR3D-LLM: Structured Spatial Reasoning via Latent Steps for Fine-Grained Grounding in Unified 3D-LLMs 3D-GRAND: A Million-Scale Dataset for 3D-LLMs with Better Grounding and Less Hallucination

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-06-29T14:03:29.798402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8193472b-0835-44d0-bfd3-3974a0e5e1d5 · inbound

NarrativeWorldBench: A Frontier-Saturated Benchmark and a Latent World Model for Long-Horizon Co-Creative Audio Drama cites this paper.

NarrativeWorldBench: A Frontier-Saturated Benchmark and a Latent World Model for Long-Horizon Co-Creative Audio Drama 3D-GRAND: A Million-Scale Dataset for 3D-LLMs with Better Grounding and Less Hallucination

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-07-03T19:28:52.492234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.