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Paper Citation Record · LEDGER

Reasoning Grasping via Multimodal Large Language Model

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 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 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:20:41.189053Z

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 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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-23T04:30:38.804702Z digest=sha256:04ed4e1ff7b0de7194db7fe70bcc7fa83fa9d4569523cf1c1811c13c128763df

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.

source=pdf_text observed=2026-08-06T23:20:41.189053Z digest=sha256:c458a7d7961b13a687ce871283351d7412763abd7c95b8d207d0f7b225a01f07

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.

source=pdf_text observed=2026-08-06T17:43:53.198058Z digest=sha256:2cc5851143b39015153016b885cd73d6ba124c0366e0ad097f30a652148e4633

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.

source=pdf_text observed=2026-08-04T21:18:50.362985Z digest=sha256:56e72e2a2cd76213c47f5881bb42677d3364328da82f1c270f37cde00efe28a6

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.

source=pdf_text observed=2026-08-04T18:58:12.716366Z digest=sha256:ad347ac0239f16a8c4e34c4b4c8c3d544b310f004b4512e1bf01fad67e95cea7

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.

source=pdf_text observed=2026-08-03T20:42:54.576971Z digest=sha256:dc3449bafe7505dc49ad3250db57678a5b45d467ef2095e77d703f9e61adf536

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.

source=pdf_text observed=2026-08-06T14:54:47.669546Z digest=sha256:7389978bb5124bdcdf86d3a299e4739be642fd27adef37afaa6730b9770d54c0