Paper Citation Record · LEDGER

MoLe-VLA: Dynamic Layer-skipping Vision Language Action Model via Mixture-of-Layers for Efficient Robot Manipulation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 25 inbound Pith citation observations for arXiv:2503.20384.

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

pith.paper-citation-record.v1
2503.20384 v2

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measured 0 of 0 reference resolution

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measured 25 of 25 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 25 of 25 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:44:06.343233Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T11:18:03.368562Z

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Outbound references

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Pith citing papers

Observation 6f11c451-0ad3-4ec4-acac-2e7d5d3fa5d5 · inbound

Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction cites this paper.

Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction MoLe-VLA: Dynamic Layer-skipping Vision Language Action Model via Mixture-of-Layers for Efficient Robot Manipulation

Reference 38

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Source-reported events for the cited work

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Observation 25aa3d8d-ae22-4f6a-993b-bf3401d4953a · inbound

EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models cites this paper.

EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models MoLe-VLA: Dynamic Layer-skipping Vision Language Action Model via Mixture-of-Layers for Efficient Robot Manipulation

Reference 21

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Observation fbe82f9c-440f-4a16-9397-b85d4f3eb02a · inbound

ROSA: Harnessing Robot States for Vision-Language and Action Alignment cites this paper.

ROSA: Harnessing Robot States for Vision-Language and Action Alignment MoLe-VLA: Dynamic Layer-skipping Vision Language Action Model via Mixture-of-Layers for Efficient Robot Manipulation

Reference 34

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Observation dbda5eef-5153-4d3e-96b8-c310951c7fc8 · 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 MoLe-VLA: Dynamic Layer-skipping Vision Language Action Model via Mixture-of-Layers for Efficient Robot Manipulation

Reference 225

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Observation 43cff229-7ab5-4968-8f65-e7429a7f0a18 · 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 MoLe-VLA: Dynamic Layer-skipping Vision Language Action Model via Mixture-of-Layers for Efficient Robot Manipulation

Reference 114

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T20:28:16.234775Z

Source-reported events for the cited work

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Observation 648c7342-4248-4cc0-8237-93756c7b40a4 · inbound

CogVLA: Cognition-Aligned Vision-Language-Action Model via Instruction-Driven Routing & Sparsification cites this paper.

CogVLA: Cognition-Aligned Vision-Language-Action Model via Instruction-Driven Routing & Sparsification MoLe-VLA: Dynamic Layer-skipping Vision Language Action Model via Mixture-of-Layers for Efficient Robot Manipulation

Reference 78

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Observation 0e1c2132-cd29-4bf8-b471-2df10c350181 · inbound

Align-Then-stEer: Adapting the Vision-Language Action Models through Unified Latent Guidance cites this paper.

Align-Then-stEer: Adapting the Vision-Language Action Models through Unified Latent Guidance MoLe-VLA: Dynamic Layer-skipping Vision Language Action Model via Mixture-of-Layers for Efficient Robot Manipulation

Reference 24

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Observation e264d137-52b2-49f5-a909-fb6c40e667f3 · inbound

Efficient Vision-Language-Action Models for Embodied Manipulation: A Systematic Survey cites this paper.

Efficient Vision-Language-Action Models for Embodied Manipulation: A Systematic Survey MoLe-VLA: Dynamic Layer-skipping Vision Language Action Model via Mixture-of-Layers for Efficient Robot Manipulation

Reference 33

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Observation 9d5bd1c3-fafa-46c5-929f-a125e385d4ae · inbound

ActDistill: General Action-Guided Self-Derived Distillation for Efficient Vision-Language-Action Models cites this paper.

ActDistill: General Action-Guided Self-Derived Distillation for Efficient Vision-Language-Action Models MoLe-VLA: Dynamic Layer-skipping Vision Language Action Model via Mixture-of-Layers for Efficient Robot Manipulation

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-17T06:09:09.414448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d1649ef9-99ab-4c83-8cad-070952e4b976 · inbound

Continually Evolving Skill Knowledge in Vision Language Action Model cites this paper.

Continually Evolving Skill Knowledge in Vision Language Action Model MoLe-VLA: Dynamic Layer-skipping Vision Language Action Model via Mixture-of-Layers for Efficient Robot Manipulation

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-17T06:04:09.148437Z

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Observation 54e94133-9306-4a81-9099-c7a388037d25 · inbound

TIDAL: Temporally Interleaved Diffusion and Action Loop for High-Frequency VLA Control cites this paper.

TIDAL: Temporally Interleaved Diffusion and Action Loop for High-Frequency VLA Control MoLe-VLA: Dynamic Layer-skipping Vision Language Action Model via Mixture-of-Layers for Efficient Robot Manipulation

Reference 25

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Observation b3c46f3f-6801-4a6a-a226-9396b404342d · inbound

QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models cites this paper.

QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models MoLe-VLA: Dynamic Layer-skipping Vision Language Action Model via Mixture-of-Layers for Efficient Robot Manipulation

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-15T20:20:17.369582Z

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Observation ff03193e-5367-4280-8aa8-b112ab5cfea7 · inbound

KERV: Kinematic-Rectified Speculative Decoding for Embodied VLA Models cites this paper.

KERV: Kinematic-Rectified Speculative Decoding for Embodied VLA Models MoLe-VLA: Dynamic Layer-skipping Vision Language Action Model via Mixture-of-Layers for Efficient Robot Manipulation

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-15T18:40:14.548333Z

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Observation b6d4d615-0113-4f1d-86a0-97987c6e12b1 · inbound

The Latent Color Subspace: Emergent Order in High-Dimensional Chaos cites this paper.

The Latent Color Subspace: Emergent Order in High-Dimensional Chaos MoLe-VLA: Dynamic Layer-skipping Vision Language Action Model via Mixture-of-Layers for Efficient Robot Manipulation

Reference 31

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Source-reported events for the cited work

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Observation 56fc1280-524d-4639-b2fe-4b25a6d07616 · inbound

OxyGen: Unified KV Cache Management for VLA Inference under Multi-Task Parallelism cites this paper.

OxyGen: Unified KV Cache Management for VLA Inference under Multi-Task Parallelism MoLe-VLA: Dynamic Layer-skipping Vision Language Action Model via Mixture-of-Layers for Efficient Robot Manipulation

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-21T11:50:03.795413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 92a861db-b6ed-4abe-b07a-e6cbf71bbaeb · inbound

HeiSD: Hybrid Speculative Decoding for Embodied Vision-Language-Action Models with Kinematic Awareness cites this paper.

HeiSD: Hybrid Speculative Decoding for Embodied Vision-Language-Action Models with Kinematic Awareness MoLe-VLA: Dynamic Layer-skipping Vision Language Action Model via Mixture-of-Layers for Efficient Robot Manipulation

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-15T09:19:54.385906Z

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Observation dc99f12e-66d8-486b-b2fc-75191ba4d7a0 · inbound

RoboECC: Multi-Factor-Aware Edge-Cloud Collaborative Deployment for VLA Models cites this paper.

RoboECC: Multi-Factor-Aware Edge-Cloud Collaborative Deployment for VLA Models MoLe-VLA: Dynamic Layer-skipping Vision Language Action Model via Mixture-of-Layers for Efficient Robot Manipulation

Reference 10

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Observation b24c322c-e9a0-4f78-b45c-bd7d7c10fb82 · inbound

A1: A Fully Transparent Open-Source, Adaptive and Efficient Truncated Vision-Language-Action Model cites this paper.

A1: A Fully Transparent Open-Source, Adaptive and Efficient Truncated Vision-Language-Action Model MoLe-VLA: Dynamic Layer-skipping Vision Language Action Model via Mixture-of-Layers for Efficient Robot Manipulation

Reference 55

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T22:50:51.326127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c52d2cea-cf37-4101-b497-6cd5ef54132f · inbound

ConsisVLA-4D: Advancing Spatiotemporal Consistency in Efficient 3D-Perception and 4D-Reasoning for Robotic Manipulation cites this paper.

ConsisVLA-4D: Advancing Spatiotemporal Consistency in Efficient 3D-Perception and 4D-Reasoning for Robotic Manipulation MoLe-VLA: Dynamic Layer-skipping Vision Language Action Model via Mixture-of-Layers for Efficient Robot Manipulation

Reference 85

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f5edacb1-c78f-48e2-bf86-7ecf19eb2920 · inbound

ElegantVLA: Learning When to Think for Efficient Vision-Language-Action Models cites this paper.

ElegantVLA: Learning When to Think for Efficient Vision-Language-Action Models MoLe-VLA: Dynamic Layer-skipping Vision Language Action Model via Mixture-of-Layers for Efficient Robot Manipulation

Reference 36

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Observation e02b5006-061d-4e9d-ae8d-862a0840f7e9 · inbound

SAFE-Pruner: Semantic Attention-Guided Future-Aware Token Pruning for Efficient Vision-Language-Action Manipulation cites this paper.

SAFE-Pruner: Semantic Attention-Guided Future-Aware Token Pruning for Efficient Vision-Language-Action Manipulation MoLe-VLA: Dynamic Layer-skipping Vision Language Action Model via Mixture-of-Layers for Efficient Robot Manipulation

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:43:14.958648Z

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Observation 8693073a-602d-45a2-b9df-7a1f2b9d3e3c · inbound

SAFE-Pruner: Semantic Attention-Guided Future-Aware Token Pruning for Efficient Vision-Language-Action Manipulation cites this paper.

Reference 48

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Observation 88aa6e0c-32d1-4b32-ac6c-c3ecd25f707b · inbound

World Pilot: Steering Vision-Language-Action Models with World-Action Priors cites this paper.

World Pilot: Steering Vision-Language-Action Models with World-Action Priors MoLe-VLA: Dynamic Layer-skipping Vision Language Action Model via Mixture-of-Layers for Efficient Robot Manipulation

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-07-03T11:18:03.369857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation edade014-2e2b-4fda-9e2a-88d3288e1b49 · inbound

Revisiting Parameter Redundancy in Vision-Language-Action Models: Insights from VLM-to-VLA Adaptation cites this paper.

Revisiting Parameter Redundancy in Vision-Language-Action Models: Insights from VLM-to-VLA Adaptation MoLe-VLA: Dynamic Layer-skipping Vision Language Action Model via Mixture-of-Layers for Efficient Robot Manipulation

Reference 38

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T10:45:42.895181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a14612d1-b8d3-4c1b-9c13-4cdad4a1e87a · inbound

ActionCache: Training-Free Acceleration for Vision-Language-Action Models with Action Caching and Refinement cites this paper.

ActionCache: Training-Free Acceleration for Vision-Language-Action Models with Action Caching and Refinement MoLe-VLA: Dynamic Layer-skipping Vision Language Action Model via Mixture-of-Layers for Efficient Robot Manipulation

Reference 8

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