Paper Citation Record · LEDGER

Reasoning Grasping via Multimodal Large Language Model

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2402.06798.

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

pith.paper-citation-record.v1
2402.06798 v3

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 2026-08-22T06:32:14.747728+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T17:50:17.335611Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T04:32:33.313479Z

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 9b4cfa91-5b1e-4222-8d97-9c9e72dd6785 · inbound

Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation cites this paper.

Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation Reasoning Grasping via Multimodal Large Language Model

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T17:50:17.335611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30afc24b-230f-4080-906b-2b7e2002ccaa · inbound

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning cites this paper.

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning Reasoning Grasping via Multimodal Large Language Model

Reference 78

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:32:33.316476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2cbfa97f-36f7-4c9f-9613-01c5960b4086 · inbound

GraspMAS: Zero-Shot Language-driven Grasp Detection with Multi-Agent System cites this paper.

GraspMAS: Zero-Shot Language-driven Grasp Detection with Multi-Agent System Reasoning Grasping via Multimodal Large Language Model

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-06T23:20:41.189053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1cac8f07-29b3-4369-bd23-deb5eb4bae02 · inbound

Foundation Model Driven Robotics: A Comprehensive Review cites this paper.

Foundation Model Driven Robotics: A Comprehensive Review Reasoning Grasping via Multimodal Large Language Model

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-06T17:43:53.198058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26f4e140-14d6-4a00-a112-57117dff0897 · inbound

Attribute-based Object Grounding and Robot Grasp Detection with Spatial Reasoning cites this paper.

Attribute-based Object Grounding and Robot Grasp Detection with Spatial Reasoning Reasoning Grasping via Multimodal Large Language Model

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T21:18:50.362985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 365d9293-7417-48a4-b042-b05158d8f7b4 · inbound

Boosting Embodied AI Agents through Perception-Generation Disaggregation and Asynchronous Pipeline Execution cites this paper.

Boosting Embodied AI Agents through Perception-Generation Disaggregation and Asynchronous Pipeline Execution Reasoning Grasping via Multimodal Large Language Model

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-04T18:58:12.716366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5923b7c1-8962-479a-bab7-ce755340f02b · inbound

Beyond Description: Cognitively Benchmarking Fine-Grained Action for Embodied Agents cites this paper.

Beyond Description: Cognitively Benchmarking Fine-Grained Action for Embodied Agents Reasoning Grasping via Multimodal Large Language Model

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T20:42:54.576971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80bc7932-476c-4068-94f8-8c90a5f4fc10 · inbound

Transforming Remanufacturing Automation with Large Language Models: A Forward-Looking Analysis with Case Studies cites this paper.

Transforming Remanufacturing Automation with Large Language Models: A Forward-Looking Analysis with Case Studies Reasoning Grasping via Multimodal Large Language Model

Reference 123

Resolution: unresolved; no resolver link, observed 2026-08-06T14:54:47.669546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.