Paper Citation Record · LEDGER

Assessing the Value of Visual Input: A Benchmark of Multimodal Large Language Models for Robotic Path Planning

As of 19 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 1 inbound Pith citation observation for arXiv:2507.12391.

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

pith.paper-citation-record.v1
2507.12391 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:50:09.623638Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T11:40:21.327031Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T11:40:25.831314Z

Reference resolution

23 of 23 outbound references displayed

verified exact3
verified fuzzy10
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 08cbf44a-4b00-4086-b09c-742698c10219 · outbound

This paper cites A survey on large language model based autonomous agents.

Assessing the Value of Visual Input: A Benchmark of Multimodal Large Language Models for Robotic Path Planning A survey on large language model based autonomous agents

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:50:12.672882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9986f59e-4f4c-475a-965f-7ee8a08b25c0 · outbound

This paper cites Large language models for robotics: Opportunities, challenges, and perspectives.

Assessing the Value of Visual Input: A Benchmark of Multimodal Large Language Models for Robotic Path Planning Large language models for robotics: Opportunities, challenges, and perspectives

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:50:12.514886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c65b190b-166d-4fcc-a5f3-a3722221d776 · outbound

This paper cites Human-Robot collaboration in surgery: Advances and challenges towards autonomous surgical assis- tants.

Assessing the Value of Visual Input: A Benchmark of Multimodal Large Language Models for Robotic Path Planning Human-Robot collaboration in surgery: Advances and challenges towards autonomous surgical assis- tants

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:50:12.354229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 57623a7e-2b68-4061-abe0-f2ee19db3928 · outbound

This paper cites Language models as zero-shot planners: Extracting actionable knowledge for embodied agents.

Assessing the Value of Visual Input: A Benchmark of Multimodal Large Language Models for Robotic Path Planning Language models as zero-shot planners: Extracting actionable knowledge for embodied agents

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:50:12.147985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cbc1c722-8cdf-4b41-b90a-9a502e50e7a8 · outbound

This paper cites Do As I Can, Not As I Say: Grounding Language in Robotic Affordances.

Assessing the Value of Visual Input: A Benchmark of Multimodal Large Language Models for Robotic Path Planning Do As I Can, Not As I Say: Grounding Language in Robotic Affordances

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:50:11.952899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3f2e3fba-f0c5-4623-88d5-2bbb2c9d94e3 · outbound

This paper cites Progprompt: Generating situated robot task plans using large language models.

Assessing the Value of Visual Input: A Benchmark of Multimodal Large Language Models for Robotic Path Planning Progprompt: Generating situated robot task plans using large language models

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:50:11.717772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 19a8e19c-e42c-4bdf-ab88-6750cce49d7a · outbound

This paper cites V oice con- trol interface for surgical robot assistants.

Assessing the Value of Visual Input: A Benchmark of Multimodal Large Language Models for Robotic Path Planning V oice con- trol interface for surgical robot assistants

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:50:11.412453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a94424e7-7caa-4cee-a8cf-f67ecc0d3653 · outbound

This paper cites LLM-based ambiguity detection in natural language instructions for collaborative surgical robots.

Assessing the Value of Visual Input: A Benchmark of Multimodal Large Language Models for Robotic Path Planning LLM-based ambiguity detection in natural language instructions for collaborative surgical robots

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:50:11.129833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1a42df65-51b0-4524-ba32-23ca0dd7a425 · outbound

This paper cites Toward autonomous robotic minimally invasive surgery: A hybrid framework combining task-motion planning and dynamic behavior trees.

Assessing the Value of Visual Input: A Benchmark of Multimodal Large Language Models for Robotic Path Planning Toward autonomous robotic minimally invasive surgery: A hybrid framework combining task-motion planning and dynamic behavior trees

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:50:10.835604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4a39828d-d7e5-453d-88f5-03b56020e6eb · outbound

This paper cites Exploring embodied mul- timodal large models: Development, datasets, and future directions.

Assessing the Value of Visual Input: A Benchmark of Multimodal Large Language Models for Robotic Path Planning Exploring embodied mul- timodal large models: Development, datasets, and future directions

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:50:10.620752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 47faf2df-fb07-430d-ad0a-1957377fb85c · outbound

This paper cites Multimodal Fusion and Vision-Language Models: A Survey for Robot Vision.

Assessing the Value of Visual Input: A Benchmark of Multimodal Large Language Models for Robotic Path Planning Multimodal Fusion and Vision-Language Models: A Survey for Robot Vision

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T16:50:08.597731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16c1735e-0042-4033-abad-8427410ddd74 · outbound

This paper cites PaLM-E: An Embodied Multimodal Language Model.

Assessing the Value of Visual Input: A Benchmark of Multimodal Large Language Models for Robotic Path Planning PaLM-E: An Embodied Multimodal Language Model

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T16:50:08.663316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07c40737-2ab5-4210-8b4e-34d859072622 · outbound

This paper cites RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control.

Assessing the Value of Visual Input: A Benchmark of Multimodal Large Language Models for Robotic Path Planning RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T16:50:08.750449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c1d1cae-4389-435f-a7d6-0e4ba6a3e83e · outbound

This paper cites VIMA: General Robot Manipulation with Multimodal Prompts.

Assessing the Value of Visual Input: A Benchmark of Multimodal Large Language Models for Robotic Path Planning VIMA: General Robot Manipulation with Multimodal Prompts

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T16:50:08.815246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1d0268a-a77f-4a04-9f93-2964c0b7155d · outbound

This paper cites LLM-A*: Large Language Model Enhanced Incremental Heuristic Search on Path Planning.

Assessing the Value of Visual Input: A Benchmark of Multimodal Large Language Models for Robotic Path Planning LLM-A*: Large Language Model Enhanced Incremental Heuristic Search on Path Planning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T16:50:08.926716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ccd6026-280f-407f-892c-740167a13455 · outbound

This paper cites LLM-Advisor: An LLM Advisor for Cost-efficient Path Planning across Multiple Terrains.

Assessing the Value of Visual Input: A Benchmark of Multimodal Large Language Models for Robotic Path Planning LLM-Advisor: An LLM Advisor for Cost-efficient Path Planning across Multiple Terrains

Reference 16

Resolution: verified exact; raw_fallback, observed 2026-08-17T02:11:25.293435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 622f095f-1e64-4971-a277-1bd0feddc52a · outbound

This paper cites LLM-Enhanced Path Planning: Safe and Efficient Autonomous Navigation with Instructional Inputs.

Assessing the Value of Visual Input: A Benchmark of Multimodal Large Language Models for Robotic Path Planning LLM-Enhanced Path Planning: Safe and Efficient Autonomous Navigation with Instructional Inputs

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T16:50:09.102714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 235df9a0-fdba-4ab2-a74f-909b7a894a4e · outbound

This paper cites Guide-LLM: An Embodied LLM Agent and Text-Based Topological Map for Robotic Guidance of People with Visual Impairments.

Assessing the Value of Visual Input: A Benchmark of Multimodal Large Language Models for Robotic Path Planning Guide-LLM: An Embodied LLM Agent and Text-Based Topological Map for Robotic Guidance of People with Visual Impairments

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-06T16:50:10.109881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation acc50030-12b0-4839-a227-482856a712ca · outbound

This paper cites From Text to Space: Mapping Abstract Spatial Models in LLMs during a Grid-World Navigation Task.

Assessing the Value of Visual Input: A Benchmark of Multimodal Large Language Models for Robotic Path Planning From Text to Space: Mapping Abstract Spatial Models in LLMs during a Grid-World Navigation Task

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T16:50:09.264012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eeccf834-057c-4c69-be2d-ae4783029d6c · outbound

This paper cites Scaling and Beyond: Advancing Spatial Reasoning in MLLMs Requires New Recipes.

Assessing the Value of Visual Input: A Benchmark of Multimodal Large Language Models for Robotic Path Planning Scaling and Beyond: Advancing Spatial Reasoning in MLLMs Requires New Recipes

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T16:50:09.379020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6367c078-f26e-4924-bb48-ed3c51739195 · outbound

This paper cites Mitigating Cross-Modal Distraction and Ensuring Geometric Feasibility via Affordance- Guided, Self-Consistent MLLMs for Food Prepara- tion Task Planning.

Assessing the Value of Visual Input: A Benchmark of Multimodal Large Language Models for Robotic Path Planning Mitigating Cross-Modal Distraction and Ensuring Geometric Feasibility via Affordance- Guided, Self-Consistent MLLMs for Food Prepara- tion Task Planning

Reference 21

Resolution: verified exact; raw_fallback, observed 2026-08-06T16:50:09.900096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7f6edbf4-224d-4902-ae90-0d0f32c2d5d7 · outbound

This paper cites Can Large Language Models be Good Path Planners? A Benchmark and Investigation on Spatial-temporal Reasoning.

Assessing the Value of Visual Input: A Benchmark of Multimodal Large Language Models for Robotic Path Planning Can Large Language Models be Good Path Planners? A Benchmark and Investigation on Spatial-temporal Reasoning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T16:50:09.535109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20a633f0-d5a2-4c3f-93ba-942cbab5df6d · outbound

This paper cites EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents.

Assessing the Value of Visual Input: A Benchmark of Multimodal Large Language Models for Robotic Path Planning EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T16:50:09.623638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation ff00f254-9fce-4018-87cd-dad413f06d7e · inbound

Why Do MLLMs Struggle with Spatial Understanding? A Systematic Analysis from Data to Architecture cites this paper.

Why Do MLLMs Struggle with Spatial Understanding? A Systematic Analysis from Data to Architecture Assessing the Value of Visual Input: A Benchmark of Multimodal Large Language Models for Robotic Path Planning

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-05T11:40:25.837858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.