Paper Citation Record · LEDGER

Instruct2Act: Mapping Multi-modality Instructions to Robotic Actions with Large Language Model

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 29 inbound Pith citation observations for arXiv:2305.11176.

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

pith.paper-citation-record.v1
2305.11176 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 29 of 29 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T22:44:50.810323Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T07:26:54.507995Z

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 14ef7f5e-d878-4474-bbb2-24627362f663 · inbound

ConfusionPrompt: Practical Private Inference for Online Large Language Models cites this paper.

ConfusionPrompt: Practical Private Inference for Online Large Language Models Instruct2Act: Mapping Multi-modality Instructions to Robotic Actions with Large Language Model

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-24T04:58:54.849006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 28ec5370-4b3d-4212-9945-02add761aeb4 · inbound

A Survey on Vision-Language-Action Models for Embodied AI cites this paper.

A Survey on Vision-Language-Action Models for Embodied AI Instruct2Act: Mapping Multi-modality Instructions to Robotic Actions with Large Language Model

Reference 107

Resolution: verified exact; arxiv_id, observed 2026-05-24T01:25:54.588575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 89f0551f-a3db-4646-a5b3-761676c6817c · inbound

Integrating LMM Planners and 3D Skill Policies for Generalizable Manipulation cites this paper.

Integrating LMM Planners and 3D Skill Policies for Generalizable Manipulation Instruct2Act: Mapping Multi-modality Instructions to Robotic Actions with Large Language Model

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-09T22:44:50.810323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4373253c-8b85-4c23-9d85-3f86929dab2c · inbound

A Real-to-Sim-to-Real Approach to Robotic Manipulation with VLM-Generated Iterative Keypoint Rewards cites this paper.

A Real-to-Sim-to-Real Approach to Robotic Manipulation with VLM-Generated Iterative Keypoint Rewards Instruct2Act: Mapping Multi-modality Instructions to Robotic Actions with Large Language Model

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-08T00:03:16.363277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89abcfe5-4980-4830-a70f-a54d6375978a · inbound

Self-Consistency of the Internal Reward Models Improves Self-Rewarding Language Models cites this paper.

Self-Consistency of the Internal Reward Models Improves Self-Rewarding Language Models Instruct2Act: Mapping Multi-modality Instructions to Robotic Actions with Large Language Model

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T23:18:39.880512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ca5bd2e-b098-457d-9d5d-a490089a89d2 · inbound

Conversational Interfaces for Parametric Conceptual Architectural Design: Integrating Mixed Reality with LLM-driven Interaction cites this paper.

Conversational Interfaces for Parametric Conceptual Architectural Design: Integrating Mixed Reality with LLM-driven Interaction Instruct2Act: Mapping Multi-modality Instructions to Robotic Actions with Large Language Model

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T06:03:23.742554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0190b68-6726-4d51-925c-eb772a4a5cb2 · inbound

ACTLLM: Action Consistency Tuned Large Language Model cites this paper.

ACTLLM: Action Consistency Tuned Large Language Model Instruct2Act: Mapping Multi-modality Instructions to Robotic Actions with Large Language Model

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T22:34:06.759535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41837580-5943-489d-86cf-d0ebd4a8e2da · inbound

A Survey on Vision-Language-Action Models: An Action Tokenization Perspective cites this paper.

A Survey on Vision-Language-Action Models: An Action Tokenization Perspective Instruct2Act: Mapping Multi-modality Instructions to Robotic Actions with Large Language Model

Reference 129

Resolution: verified exact; arxiv_id, observed 2026-05-17T14:08:35.437833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f149ce8b-d424-4047-8791-14a0fd8573fe · inbound

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

Foundation Model Driven Robotics: A Comprehensive Review Instruct2Act: Mapping Multi-modality Instructions to Robotic Actions with Large Language Model

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T17:43:53.122220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc477058-e9f4-4f03-aa57-ac6113c7ec82 · inbound

Genie Envisioner: A Unified World Foundation Platform for Robotic Manipulation cites this paper.

Genie Envisioner: A Unified World Foundation Platform for Robotic Manipulation Instruct2Act: Mapping Multi-modality Instructions to Robotic Actions with Large Language Model

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-15T21:28:42.012107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ba2340f1-f0a0-4a76-8b2a-df76d4981e15 · inbound

FaceAnonyMixer: Cancelable Faces via Identity Consistent Latent Space Mixing cites this paper.

FaceAnonyMixer: Cancelable Faces via Identity Consistent Latent Space Mixing Instruct2Act: Mapping Multi-modality Instructions to Robotic Actions with Large Language Model

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T23:17:30.341166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50b1e20c-be23-4d8f-95b1-8a6def55c66b · inbound

Large Model Empowered Embodied AI: A Survey on Decision-Making and Embodied Learning cites this paper.

Large Model Empowered Embodied AI: A Survey on Decision-Making and Embodied Learning Instruct2Act: Mapping Multi-modality Instructions to Robotic Actions with Large Language Model

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-05T20:31:42.886164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 439c4702-a860-4347-a2b3-4074bbf90a83 · inbound

Large VLM-based Vision-Language-Action Models for Robotic Manipulation: A Survey cites this paper.

Large VLM-based Vision-Language-Action Models for Robotic Manipulation: A Survey Instruct2Act: Mapping Multi-modality Instructions to Robotic Actions with Large Language Model

Reference 159

Resolution: verified exact; arxiv_id, observed 2026-05-17T20:28:16.007179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ed0b6296-7bb2-4a49-8dcb-3f090240dd80 · inbound

MARS: Multi-Agent Robotic System with Multimodal Large Language Models for Assistive Intelligence cites this paper.

MARS: Multi-Agent Robotic System with Multimodal Large Language Models for Assistive Intelligence Instruct2Act: Mapping Multi-modality Instructions to Robotic Actions with Large Language Model

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T01:10:34.249058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ff20d6fc-18c7-4d48-bbdb-df59b914bd95 · inbound

ImagineNav++: Prompting Vision-Language Models as Embodied Navigator through Scene Imagination cites this paper.

ImagineNav++: Prompting Vision-Language Models as Embodied Navigator through Scene Imagination Instruct2Act: Mapping Multi-modality Instructions to Robotic Actions with Large Language Model

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-16T21:08:32.486743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 288dafc4-074a-4583-abe1-aaee24236c04 · inbound

A Survey on Evaluating Quality and Trustworthiness in LLM-Generated Data cites this paper.

A Survey on Evaluating Quality and Trustworthiness in LLM-Generated Data Instruct2Act: Mapping Multi-modality Instructions to Robotic Actions with Large Language Model

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-03T08:15:20.295381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 995f3c54-2c1d-45fa-a8e2-970b786bc6ab · inbound

Evolvable Embodied Agent for Robotic Manipulation via Long Short-Term Reflection and Optimization cites this paper.

Evolvable Embodied Agent for Robotic Manipulation via Long Short-Term Reflection and Optimization Instruct2Act: Mapping Multi-modality Instructions to Robotic Actions with Large Language Model

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:05:24.469130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation be0a79a6-6112-47a0-aa88-ecbeb602750f · inbound

SharedRequest: Privacy-Preserving Model-Agnostic Inference for Large Language Models cites this paper.

SharedRequest: Privacy-Preserving Model-Agnostic Inference for Large Language Models Instruct2Act: Mapping Multi-modality Instructions to Robotic Actions with Large Language Model

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T09:26:51.544337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9809110e-0ecf-49d2-a9b3-76dfeb8145ba · inbound

Efficient Skill Grounding via Code Refactoring with Small Language Models cites this paper.

Efficient Skill Grounding via Code Refactoring with Small Language Models Instruct2Act: Mapping Multi-modality Instructions to Robotic Actions with Large Language Model

Reference 78

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T21:07:24.153749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0e5fb998-6181-44f1-8c8e-c8d955e8c208 · inbound

Functional Cache Grafting: Robust and Rapid Code-Policy Synthesis for Embodied Agents cites this paper.

Functional Cache Grafting: Robust and Rapid Code-Policy Synthesis for Embodied Agents Instruct2Act: Mapping Multi-modality Instructions to Robotic Actions with Large Language Model

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-06-27T05:30:35.769413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 34c3500e-747b-4446-a4f6-566ad15a71d2 · inbound

Functional Cache Grafting: Robust and Rapid Code-Policy Synthesis for Embodied Agents cites this paper.

Functional Cache Grafting: Robust and Rapid Code-Policy Synthesis for Embodied Agents Instruct2Act: Mapping Multi-modality Instructions to Robotic Actions with Large Language Model

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T11:44:03.545449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f29e2a24-7b6b-4337-81ef-652bb752d701 · inbound

Qwen-RobotWorld Technical Report: Unifying Embodied World Modeling through Language-Conditioned Video Generation cites this paper.

Qwen-RobotWorld Technical Report: Unifying Embodied World Modeling through Language-Conditioned Video Generation Instruct2Act: Mapping Multi-modality Instructions to Robotic Actions with Large Language Model

Reference 230

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T17:18:43.761394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1645445c-a951-4492-a399-749d9d4b7ff7 · inbound

Harness VLA: Steering Frozen VLAs into Reliable Manipulation Primitives via Memory-Guided Agents cites this paper.

Harness VLA: Steering Frozen VLAs into Reliable Manipulation Primitives via Memory-Guided Agents Instruct2Act: Mapping Multi-modality Instructions to Robotic Actions with Large Language Model

Reference 59

Resolution: verified exact; local_arxiv, observed 2026-07-10T07:26:54.509395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a68f4efd-fefc-40af-aaf3-647509499690 · inbound

Harness VLA: Steering Frozen VLAs into Reliable Manipulation Primitives via Memory-Guided Agents cites this paper.

Harness VLA: Steering Frozen VLAs into Reliable Manipulation Primitives via Memory-Guided Agents Instruct2Act: Mapping Multi-modality Instructions to Robotic Actions with Large Language Model

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-02T07:56:56.620153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c237d157-fea3-4b06-8ba0-d60383f9904d · inbound

Qwen-Audio-VAE Technical Report cites this paper.

Qwen-Audio-VAE Technical Report Instruct2Act: Mapping Multi-modality Instructions to Robotic Actions with Large Language Model

Reference 237

Resolution: unresolved; no resolver link, observed 2026-07-14T03:31:19.309532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c58c8a4-f760-43e9-8d79-5fa90acfec7c · inbound

Self-Evolving Just-In-Time Memory for Proactive Embodied Safety cites this paper.

Self-Evolving Just-In-Time Memory for Proactive Embodied Safety Instruct2Act: Mapping Multi-modality Instructions to Robotic Actions with Large Language Model

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T09:54:52.432986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3d210c8-b04d-4049-83ea-fe0b50d20bb5 · inbound

Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills cites this paper.

Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills Instruct2Act: Mapping Multi-modality Instructions to Robotic Actions with Large Language Model

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-04T19:45:33.996455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 766e97bd-0a28-4853-bb37-341cae407934 · inbound

Is Inter-Seed Cross-Play Enough? Evaluating the Robustness of Zero-Shot Coordination Algorithms to Implementation Details cites this paper.

Is Inter-Seed Cross-Play Enough? Evaluating the Robustness of Zero-Shot Coordination Algorithms to Implementation Details Instruct2Act: Mapping Multi-modality Instructions to Robotic Actions with Large Language Model

Reference 220

Resolution: unresolved; no resolver link, observed 2026-08-05T15:25:40.330321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54530e77-b581-4687-a48e-ad8354d3d278 · inbound

ETA: A New Agentic Paradigm for Embodied Tasks cites this paper.

ETA: A New Agentic Paradigm for Embodied Tasks Instruct2Act: Mapping Multi-modality Instructions to Robotic Actions with Large Language Model

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-05T05:44:44.230086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.