Paper Citation Record · LEDGER

PointLLM: Empowering Large Language Models to Understand Point Clouds

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 inbound Pith citation observations for arXiv:2308.16911.

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

pith.paper-citation-record.v1
2308.16911 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 21 of 21 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:38:21.594099Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

5
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 58b9a34b-0eaf-450d-acd2-6515ad04d066 · inbound

A Survey on Multimodal Large Language Models cites this paper.

A Survey on Multimodal Large Language Models PointLLM: Empowering Large Language Models to Understand Point Clouds

Reference 145

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T02:56:41.954357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b303b711-1fca-418d-8524-c287e939785d · inbound

SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language Models cites this paper.

SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language Models PointLLM: Empowering Large Language Models to Understand Point Clouds

Reference 37

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T03:03:26.779545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 19f05398-b6b3-49d5-b118-89ea80e7978f · inbound

MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems? cites this paper.

MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems? PointLLM: Empowering Large Language Models to Understand Point Clouds

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-05-17T01:29:30.146288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 84121b69-b692-4d17-b069-7a39544b3a85 · inbound

LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models cites this paper.

LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models PointLLM: Empowering Large Language Models to Understand Point Clouds

Reference 58

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T06:01:54.002228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e00940a1-fa89-420c-abb2-07f3d0ab5619 · inbound

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer cites this paper.

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer PointLLM: Empowering Large Language Models to Understand Point Clouds

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-10T22:38:21.594099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e08e82a-1f50-4ed4-9adc-c01f18a53f3b · 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 PointLLM: Empowering Large Language Models to Understand Point Clouds

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-10T21:48:27.526667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb0cf1c9-3fa3-4b9b-9c30-52b079489d09 · inbound

3UR-LLM: An End-to-End Multimodal Large Language Model for 3D Scene Understanding cites this paper.

3UR-LLM: An End-to-End Multimodal Large Language Model for 3D Scene Understanding PointLLM: Empowering Large Language Models to Understand Point Clouds

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-10T20:39:12.665081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1f4ca3b-ebdc-441c-a061-efbf5d027bd3 · inbound

Revisiting 3D LLM Benchmarks: Are We Really Testing 3D Capabilities? cites this paper.

Revisiting 3D LLM Benchmarks: Are We Really Testing 3D Capabilities? PointLLM: Empowering Large Language Models to Understand Point Clouds

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-08T04:54:02.124890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31f97f64-9b56-4d71-aa35-d99cc0f5a528 · inbound

Generating 6DoF Object Manipulation Trajectories from Action Description in Egocentric Vision cites this paper.

Generating 6DoF Object Manipulation Trajectories from Action Description in Egocentric Vision PointLLM: Empowering Large Language Models to Understand Point Clouds

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-07T11:03:01.866129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 344c3894-eb95-42dc-9bf5-a910bba323e6 · inbound

MINT-CoT: Enabling Interleaved Visual Tokens in Mathematical Chain-of-Thought Reasoning cites this paper.

MINT-CoT: Enabling Interleaved Visual Tokens in Mathematical Chain-of-Thought Reasoning PointLLM: Empowering Large Language Models to Understand Point Clouds

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-07T10:28:53.592815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e24a87e-fa6e-47ec-80aa-350393141259 · inbound

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation cites this paper.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation PointLLM: Empowering Large Language Models to Understand Point Clouds

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T21:53:02.513697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a496748-550e-4b94-9a5a-8e115ba8c9a7 · inbound

Echo-4o: Harnessing the Power of GPT-4o Synthetic Images for Improved Image Generation cites this paper.

Echo-4o: Harnessing the Power of GPT-4o Synthetic Images for Improved Image Generation PointLLM: Empowering Large Language Models to Understand Point Clouds

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-05T20:44:17.158713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44692333-e098-417a-a654-422bfac6020c · inbound

CG-MLLM: Captioning and Generating 3D content via Multi-modal Large Language Models cites this paper.

CG-MLLM: Captioning and Generating 3D content via Multi-modal Large Language Models PointLLM: Empowering Large Language Models to Understand Point Clouds

Reference 75

Resolution: verified exact; arxiv_id, observed 2026-05-21T14:50:14.728483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation fb7f232f-1d86-428d-a350-aee2585f70f7 · inbound

Chat-Scene++: Exploiting Context-Rich Object Identification for 3D LLM cites this paper.

Chat-Scene++: Exploiting Context-Rich Object Identification for 3D LLM PointLLM: Empowering Large Language Models to Understand Point Clouds

Reference 53

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T21:32:59.393660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 84ec85aa-a649-40e1-9ef7-8dde3a05a5b0 · inbound

Affordance Agent Harness: Verification-Gated Skill Orchestration cites this paper.

Affordance Agent Harness: Verification-Gated Skill Orchestration PointLLM: Empowering Large Language Models to Understand Point Clouds

Reference 76

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:06:34.630394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7f8de01e-6136-4854-b565-d4b5e9b64ae4 · inbound

Affordance Agent Harness: Verification-Gated Skill Orchestration cites this paper.

Affordance Agent Harness: Verification-Gated Skill Orchestration PointLLM: Empowering Large Language Models to Understand Point Clouds

Reference 76

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:10:55.785639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 468c9436-4a99-4780-a720-9b29f161dc2b · inbound

From 3D Perception to Safety Reasoning: A Graph-Based Framework for Real-Time Underground Mine Monitoring cites this paper.

From 3D Perception to Safety Reasoning: A Graph-Based Framework for Real-Time Underground Mine Monitoring PointLLM: Empowering Large Language Models to Understand Point Clouds

Reference 45

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T02:46:27.779918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c5a4d80e-b56e-4371-8523-ef12c672fff3 · inbound

From Symbolic to Geometric: Enabling Spatial Reasoning in Large Language Models cites this paper.

From Symbolic to Geometric: Enabling Spatial Reasoning in Large Language Models PointLLM: Empowering Large Language Models to Understand Point Clouds

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-07-02T07:26:45.808225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c563d40b-a124-4e43-a2e1-12f1e116d70e · inbound

MathVis-Fine: Aligning Visual Supervision with Necessity via Progressive Dependency-Guided Training for Multimodal Mathematical Reasoning cites this paper.

MathVis-Fine: Aligning Visual Supervision with Necessity via Progressive Dependency-Guided Training for Multimodal Mathematical Reasoning PointLLM: Empowering Large Language Models to Understand Point Clouds

Reference 79

Resolution: verified exact; arxiv_id, observed 2026-07-03T20:18:57.806629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ef0f21d6-cfd6-4951-8373-88c9de408106 · inbound

Hallo4D: Multi-Modal Hallucination Mitigation for Consistent Spatio-Temporal Generation cites this paper.

Hallo4D: Multi-Modal Hallucination Mitigation for Consistent Spatio-Temporal Generation PointLLM: Empowering Large Language Models to Understand Point Clouds

Reference 227

Resolution: unresolved; no resolver link, observed 2026-08-02T06:23:49.818915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d5cbfb9-d64d-4d45-8f92-dad97c174035 · inbound

CR-Refiner: An Object-Centric Optimal Transport Reranker for Edit-Conditioned 3D Scene Retrieval cites this paper.

CR-Refiner: An Object-Centric Optimal Transport Reranker for Edit-Conditioned 3D Scene Retrieval PointLLM: Empowering Large Language Models to Understand Point Clouds

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T13:28:41.335244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.