Paper Citation Record · LEDGER

Unveiling the Potential of Vision-Language-Action Models with Open-Ended Multimodal Instructions

As of 20 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 3 inbound Pith citation observations for arXiv:2505.11214.

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

pith.paper-citation-record.v1
2505.11214 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:01:28.461260Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:56:22.911558Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T20:28:16.078786Z

Reference resolution

36 of 36 outbound references displayed

verified exact0
verified fuzzy13
unresolved23
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c2d23df2-6129-4393-ac16-292debc961be · outbound

This paper cites Training language models to follow instructions with human feedback.

Unveiling the Potential of Vision-Language-Action Models with Open-Ended Multimodal Instructions Training language models to follow instructions with human feedback

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T21:01:28.286575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86cc614d-4ae6-4aea-a45b-8b0db30e8e83 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Unveiling the Potential of Vision-Language-Action Models with Open-Ended Multimodal Instructions LLaMA: Open and Efficient Foundation Language Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T21:01:28.292368Z

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Observation 9837886e-a052-44b9-884f-cfd8efcfc023 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Unveiling the Potential of Vision-Language-Action Models with Open-Ended Multimodal Instructions Gemini: A Family of Highly Capable Multimodal Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T21:01:28.297376Z

Source-reported events for the cited work

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Observation 51b3bb3a-32b5-4421-9783-798e0704ef5a · outbound

This paper cites Visual Instruction Tuning.

Unveiling the Potential of Vision-Language-Action Models with Open-Ended Multimodal Instructions Visual Instruction Tuning

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:29.145766Z

Source-reported events for the cited work

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Observation 75a71d25-1387-4dfc-9d95-8b5bb733ce80 · outbound

This paper cites BLIP -2: Bootstrapping Language - Image Pre -training with Frozen Image Encoders and Large Language Models.

Unveiling the Potential of Vision-Language-Action Models with Open-Ended Multimodal Instructions BLIP -2: Bootstrapping Language - Image Pre -training with Frozen Image Encoders and Large Language Models

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:29.130979Z

Source-reported events for the cited work

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Observation 67836b1e-f353-4f6f-b6ee-27d5906336a7 · outbound

This paper cites OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models.

Unveiling the Potential of Vision-Language-Action Models with Open-Ended Multimodal Instructions OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T21:01:28.313787Z

Source-reported events for the cited work

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Observation 895c3502-6c74-4c1e-96ed-243edc68a864 · outbound

This paper cites Prismatic VLMs : Investigating the Design Space of Visually - Conditioned Language Models.

Unveiling the Potential of Vision-Language-Action Models with Open-Ended Multimodal Instructions Prismatic VLMs : Investigating the Design Space of Visually - Conditioned Language Models

Reference 7

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Observation 5f536b50-b7c1-4291-a734-6928c560abe1 · outbound

This paper cites LL a MA -adapter: Efficient fine-tuning of large language models with zero-initialized attention.

Unveiling the Potential of Vision-Language-Action Models with Open-Ended Multimodal Instructions LL a MA -adapter: Efficient fine-tuning of large language models with zero-initialized attention

Reference 8

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Observation a2129233-259e-4803-8872-3cfcd773837a · outbound

This paper cites Sanketi, Grecia Salazar, Michael S.

Unveiling the Potential of Vision-Language-Action Models with Open-Ended Multimodal Instructions Sanketi, Grecia Salazar, Michael S

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:29.084252Z

Source-reported events for the cited work

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Observation b2297c5f-afdc-4902-97ae-1f19e6aa7f4c · outbound

This paper cites Open X-Embodiment: Robotic Learning Datasets and RT-X Models.

Unveiling the Potential of Vision-Language-Action Models with Open-Ended Multimodal Instructions Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T21:01:28.334351Z

Source-reported events for the cited work

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Observation 62778bcf-76fa-4b56-b216-7f24a0b45018 · outbound

This paper cites OpenVLA: An Open-Source Vision-Language-Action Model.

Unveiling the Potential of Vision-Language-Action Models with Open-Ended Multimodal Instructions OpenVLA: An Open-Source Vision-Language-Action Model

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T21:01:28.339447Z

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Observation 42e2d3e5-449b-4db8-835b-5c6554cb432c · outbound

This paper cites RT -1: Robotics Transformer for Real - World Control at Scale.

Unveiling the Potential of Vision-Language-Action Models with Open-Ended Multimodal Instructions RT -1: Robotics Transformer for Real - World Control at Scale

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T21:01:28.344595Z

Source-reported events for the cited work

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Observation d59a5527-a746-42fc-a6ec-037925766b08 · outbound

This paper cites Language Conditioned Imitation Learning Over Unstructured Data.

Unveiling the Potential of Vision-Language-Action Models with Open-Ended Multimodal Instructions Language Conditioned Imitation Learning Over Unstructured Data

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T21:01:28.348934Z

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Observation f9e5cd03-7cfa-4a63-bf53-636ac935f2f2 · outbound

This paper cites Vision- Language Foundation Models as Effective Robot Imitators.

Unveiling the Potential of Vision-Language-Action Models with Open-Ended Multimodal Instructions Vision- Language Foundation Models as Effective Robot Imitators

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:29.058706Z

Source-reported events for the cited work

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Observation 74e367ab-0ddd-42bc-a9ba-b650cf217d50 · outbound

This paper cites CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation.

Unveiling the Potential of Vision-Language-Action Models with Open-Ended Multimodal Instructions CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation

Reference 15

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Source-reported events for the cited work

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Observation 35913785-6f73-4528-b94a-e1c861a9f75f · outbound

This paper cites RDT -1b: a diffusion foundation model for bimanual manipulation.

Unveiling the Potential of Vision-Language-Action Models with Open-Ended Multimodal Instructions RDT -1b: a diffusion foundation model for bimanual manipulation

Reference 16

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Source-reported events for the cited work

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Observation 6d0cbb99-6dac-4f1f-a239-d73381e74d3c · outbound

This paper cites What Matters in Building Vision-Language-Action Models for Generalist Robots.

Unveiling the Potential of Vision-Language-Action Models with Open-Ended Multimodal Instructions What Matters in Building Vision-Language-Action Models for Generalist Robots

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T21:01:28.367229Z

Source-reported events for the cited work

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Observation 0fee3452-f08e-4d51-9183-496992f53f19 · outbound

This paper cites TinyVLA: Towards Fast, Data-Efficient Vision-Language-Action Models for Robotic Manipulation.

Unveiling the Potential of Vision-Language-Action Models with Open-Ended Multimodal Instructions TinyVLA: Towards Fast, Data-Efficient Vision-Language-Action Models for Robotic Manipulation

Reference 18

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Source-reported events for the cited work

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Observation 21a7a0a9-4637-46e2-9892-ee2983bb4cba · outbound

This paper cites Diffusion-VLA: Generalizable and Interpretable Robot Foundation Model via Self-Generated Reasoning.

Unveiling the Potential of Vision-Language-Action Models with Open-Ended Multimodal Instructions Diffusion-VLA: Generalizable and Interpretable Robot Foundation Model via Self-Generated Reasoning

Reference 19

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Observation 705c1280-a39b-4398-a971-5b54c75c5ba9 · outbound

This paper cites Gomez, Łukasz Kaiser, and Illia Polosukhin.

Unveiling the Potential of Vision-Language-Action Models with Open-Ended Multimodal Instructions Gomez, Łukasz Kaiser, and Illia Polosukhin

Reference 20

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Observation 663d3148-ceb7-48e1-8f76-4a48bfcdec63 · outbound

This paper cites Diffusion Policy : Visuomotor Policy Learning via Action Diffusion.

Unveiling the Potential of Vision-Language-Action Models with Open-Ended Multimodal Instructions Diffusion Policy : Visuomotor Policy Learning via Action Diffusion

Reference 21

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Observation 91034c97-c35a-454e-82bb-a6b3caef9dd0 · outbound

This paper cites $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control.

Unveiling the Potential of Vision-Language-Action Models with Open-Ended Multimodal Instructions $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 22

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Observation e38d7c17-ca60-473a-ab00-33601141c25b · outbound

This paper cites 3D - VLA : A 3D Vision - Language - Action Generative World Model.

Unveiling the Potential of Vision-Language-Action Models with Open-Ended Multimodal Instructions 3D - VLA : A 3D Vision - Language - Action Generative World Model

Reference 23

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Observation 504d44d2-dd21-4996-ad3c-eb1fd027f004 · outbound

This paper cites Dream to manipulate: Compositional world models empowering robot imitation learning with imagination.

Unveiling the Potential of Vision-Language-Action Models with Open-Ended Multimodal Instructions Dream to manipulate: Compositional world models empowering robot imitation learning with imagination

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:28.992785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d92e8050-a612-454c-88e3-0b9330c8fa52 · outbound

This paper cites GR00T N1: An Open Foundation Model for Generalist Humanoid Robots.

Unveiling the Potential of Vision-Language-Action Models with Open-Ended Multimodal Instructions GR00T N1: An Open Foundation Model for Generalist Humanoid Robots

Reference 25

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Source-reported events for the cited work

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Observation 140de4da-d8d0-4176-9040-ba8267deab69 · outbound

This paper cites RT-H: Action Hierarchies Using Language.

Unveiling the Potential of Vision-Language-Action Models with Open-Ended Multimodal Instructions RT-H: Action Hierarchies Using Language

Reference 26

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Observation 6f229904-50ff-4ba9-a486-c6d94f54e345 · outbound

This paper cites Robotic control via embodied chain-of-thought reasoning.

Unveiling the Potential of Vision-Language-Action Models with Open-Ended Multimodal Instructions Robotic control via embodied chain-of-thought reasoning

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:28.976982Z

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Observation 02fe49ba-6f9b-4a6c-a2af-a7bb1b3a62d2 · outbound

This paper cites DayDreamer : World Models for Physical Robot Learning.

Unveiling the Potential of Vision-Language-Action Models with Open-Ended Multimodal Instructions DayDreamer : World Models for Physical Robot Learning

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:28.961902Z

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Observation 537c13e6-b982-4f62-b34a-a0fd35f8243b · outbound

This paper cites VIMA : Robot Manipulation with Multimodal Prompts.

Unveiling the Potential of Vision-Language-Action Models with Open-Ended Multimodal Instructions VIMA : Robot Manipulation with Multimodal Prompts

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:01:28.946233Z

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Observation 7e67f5d9-f7d3-4871-a214-97dd0b4c2fc2 · outbound

This paper cites Interleave- VLA : Enhancing Robot Manipulation with Interleaved Image - Text Instructions , May 2025.

Unveiling the Potential of Vision-Language-Action Models with Open-Ended Multimodal Instructions Interleave- VLA : Enhancing Robot Manipulation with Interleaved Image - Text Instructions , May 2025

Reference 30

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Observation e1d33075-eab2-4d16-8742-9deac8a80318 · outbound

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

Unveiling the Potential of Vision-Language-Action Models with Open-Ended Multimodal Instructions LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T21:01:28.435690Z

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Observation 464a12f3-9d26-428f-8762-c3b071891814 · outbound

This paper cites Sigmoid Loss for Language Image Pre - Training.

Unveiling the Potential of Vision-Language-Action Models with Open-Ended Multimodal Instructions Sigmoid Loss for Language Image Pre - Training

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-15T21:01:28.440856Z

Source-reported events for the cited work

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Observation f6fb430f-7cde-4909-b37e-648acbc336c9 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

Unveiling the Potential of Vision-Language-Action Models with Open-Ended Multimodal Instructions An image is worth 16x16 words: Transformers for image recognition at scale

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-15T21:01:28.445519Z

Source-reported events for the cited work

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Observation 2355a54a-c018-4b16-8638-10958b256fa3 · outbound

This paper cites Qwen Technical Report.

Unveiling the Potential of Vision-Language-Action Models with Open-Ended Multimodal Instructions Qwen Technical Report

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T21:01:28.450294Z

Source-reported events for the cited work

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Observation 0e364c4d-9564-4082-bdab-640e6b79ba5c · outbound

This paper cites Migician: Revealing the Magic of Free-Form Multi-Image Grounding in Multimodal Large Language Models.

Unveiling the Potential of Vision-Language-Action Models with Open-Ended Multimodal Instructions Migician: Revealing the Magic of Free-Form Multi-Image Grounding in Multimodal Large Language Models

Reference 35

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Observation d05ca3a6-9c4e-41f1-b1f9-5f3e2a272c95 · outbound

This paper cites CALVIN: A Benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation Tasks.

Unveiling the Potential of Vision-Language-Action Models with Open-Ended Multimodal Instructions CALVIN: A Benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation Tasks

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-15T21:01:28.461260Z

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Unavailable: canonical work link unavailable.

Pith citing papers

Observation a2730981-4504-4ffa-9c78-9c5e3e9f836d · 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 Unveiling the Potential of Vision-Language-Action Models with Open-Ended Multimodal Instructions

Reference 104

Resolution: verified exact; arxiv_id, observed 2026-05-17T20:28:16.081523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e9948e22-77e3-4aba-b0a1-d6a0661eb9dd · inbound

CLAW: A Vision-Language-Action Framework for Weight-Aware Robotic Grasping cites this paper.

CLAW: A Vision-Language-Action Framework for Weight-Aware Robotic Grasping Unveiling the Potential of Vision-Language-Action Models with Open-Ended Multimodal Instructions

Reference 19

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Observation 904c3149-d11a-41bc-9d72-902213218bb8 · inbound

UAOR: Uncertainty-aware Observation Reinjection for Vision-Language-Action Models cites this paper.

UAOR: Uncertainty-aware Observation Reinjection for Vision-Language-Action Models Unveiling the Potential of Vision-Language-Action Models with Open-Ended Multimodal Instructions

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-02T22:07:48.479937Z

Source-reported events for the cited work

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