Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
LLM-Grounder: Open-Vocabulary 3D Visual Grounding with Large Language Model as an Agent
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2309.12311.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T22:32:38.746975Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T14:03:29.801447Z
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 42d4e473-9e1d-4177-a93b-0398602821d4 · inbound
ViGiL3D: A Linguistically Diverse Dataset for 3D Visual Grounding cites this paper.
ViGiL3D: A Linguistically Diverse Dataset for 3D Visual Grounding LLM-Grounder: Open-Vocabulary 3D Visual Grounding with Large Language Model as an Agent
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:32:38.746975Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d6dc7b01-908d-49ed-9ecd-e87420f2d1d4 · inbound
Argus: Leveraging Multiview Images for Improved 3-D Scene Understanding With Large Language Models cites this paper.
Argus: Leveraging Multiview Images for Improved 3-D Scene Understanding With Large Language Models LLM-Grounder: Open-Vocabulary 3D Visual Grounding with Large Language Model as an Agent
Reference 61
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:42:13.366850Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 75192ea4-3940-4b01-9463-f20b7142107f · inbound
Embodied Spatial Intelligence: from Implicit Scene Modeling to Spatial Reasoning cites this paper.
Embodied Spatial Intelligence: from Implicit Scene Modeling to Spatial Reasoning LLM-Grounder: Open-Vocabulary 3D Visual Grounding with Large Language Model as an Agent
Reference 268
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:38:21.104863Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8a7e4510-6b5b-4bc7-890f-6cf4153443b3 · inbound
TrianguLang: Geometry-Aware Semantic Consensus for Pose-Free 3D Localization cites this paper.
TrianguLang: Geometry-Aware Semantic Consensus for Pose-Free 3D Localization LLM-Grounder: Open-Vocabulary 3D Visual Grounding with Large Language Model as an Agent
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T15:16:09.936381Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 6c9118a4-fe93-4be8-94d6-52324f786ddb · inbound
SceneGraphGrounder: Zero-Shot 3D Visual Grounding via Structured Scene Graph Matching cites this paper.
SceneGraphGrounder: Zero-Shot 3D Visual Grounding via Structured Scene Graph Matching LLM-Grounder: Open-Vocabulary 3D Visual Grounding with Large Language Model as an Agent
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T08:51:18.423132Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 17ae25aa-995b-42e2-a7f2-2fab764e25a8 · 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 LLM-Grounder: Open-Vocabulary 3D Visual Grounding with Large Language Model as an Agent
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T14:03:29.802878Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 567082f1-23ee-4f48-8178-495ea1dfd30f · inbound
Clarify Before Executing: A Self-Evolving Agent for Resolving Intent Asymmetry in 3D Tool Orchestration cites this paper.
Clarify Before Executing: A Self-Evolving Agent for Resolving Intent Asymmetry in 3D Tool Orchestration LLM-Grounder: Open-Vocabulary 3D Visual Grounding with Large Language Model as an Agent
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T22:37:39.245969Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.