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Paper Citation Record · LEDGER

LLM-Grounder: Open-Vocabulary 3D Visual Grounding with Large Language Model as an Agent

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2309.12311.

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

pith.paper-citation-record.v1
2309.12311 v1

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

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T16:30:09.469915Z

measured 0 of 1 external citation measurements

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 fd84c2cd-df40-4453-9b7c-fb1d5bb418df · inbound

A Survey On Enhancing Reinforcement Learning in Complex Environments: Insights from Human and LLM Feedback cites this paper.

A Survey On Enhancing Reinforcement Learning in Complex Environments: Insights from Human and LLM Feedback LLM-Grounder: Open-Vocabulary 3D Visual Grounding with Large Language Model as an Agent

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-12T16:30:09.469915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:30:09.469915Z digest=sha256:9ab02c95c9c7b6c3e55b1b3ced82e35256050367c88ab0a457630d1c94130406

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.

source=arxiv_source observed=2026-08-10T22:32:38.746975Z digest=sha256:b83d982497b8968a7c01efc5c97c28c560518054417d7c5e1dac1e94539a08b8

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.

source=pdf_text observed=2026-08-06T16:42:13.366850Z digest=sha256:50ae777bfc05d6ee32ac0a5779293a22e57956afdd13cd6ed60ae3c5489a5ce8

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.

source=pdf_text observed=2026-08-05T13:38:21.104863Z digest=sha256:a4b8b4b87810812c3d480831e001a332608f14809e9b7585cca38edde366055a

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

source=pdf_text observed=2026-05-15T15:12:23.459579Z digest=sha256:c044ca293434214ce03917e18c17d4cfa8f2654fac1996eeee6fdde91df58731

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

source=pdf_text observed=2026-05-22T08:47:25.712575Z digest=sha256:b82be07c9f4d1a4dc99f864d113253fef690b3ed220de280efefb3c96084dbf3

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

source=pdf_text observed=2026-06-29T13:54:04.992565Z digest=sha256:5415b1d30160379a84b2608ae996cde553527998b38b2e6a693a50d6854b4299

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.

source=pdf_text observed=2026-08-01T22:37:39.245969Z digest=sha256:a982c2636034b5394d11efb62d281baf8e2a7efa6368426584029b74b289bb1c