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Paper Citation Record · LEDGER

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

As of 14 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 2026-08-14T06:32:32.682623+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=sha256:630d9889c332a633f8e487a46a8ef6e92b69325630e55173584525588b774491

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=sha256:4b601ff599be44688261574575a51932e128cae4f1b61bbb6cf7a9c6e94a570c

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=sha256:73a2da822d5d3a8785bb9e70bd36004eb8be3deba000ca93fcc5f118bdd06ae5

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=sha256:341d2e3855049355caf198d4472cb69828143fce045c00fcbd8cf5a2f6cd0003

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-15T15:12:23.459579Z digest=sha256:c266c9131933af46bafa95a009a75975b98798ed354aeb972b65b5b28d3dd0c6

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-22T08:47:25.712575Z digest=sha256:ce4a2edd2341dd004cb40d3741478ecc6375f6eb2c1a17b8909823fb765c1114

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-29T13:54:04.992565Z digest=sha256:4b2aeb9a87b4c9aaf784c14d310c09f4a55d404287a7059b0a56a62b2c327abc

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=sha256:37e505bf826176c2e87b1c909a46c9ce8190e1917b9892b51a87abe7cbfd104d