Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
3D-GRAND: A Million-Scale Dataset for 3D-LLMs with Better Grounding and Less Hallucination
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.05132.
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 2026-08-07T15:02:56.480933Z
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 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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.