Few-Shot Vision-Language Action-Incremental Policy Learning | Paper Citation Record

Observation 45b6e310-05e1-4f1c-af64-331aea30d7b9 · outbound

This paper cites VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models.

Few-Shot Vision-Language Action-Incremental Policy Learning VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models

Reference 1

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Observation b5b6eed3-e314-4976-b558-6988bd8ca556 · outbound

This paper cites Instruct2Act: Mapping Multi-modality Instructions to Robotic Actions with Large Language Model.

Few-Shot Vision-Language Action-Incremental Policy Learning Instruct2Act: Mapping Multi-modality Instructions to Robotic Actions with Large Language Model

Reference 2

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Observation 82c160ff-4226-4aaf-b5f2-421213d9c9de · outbound

This paper cites Manipllm: Embodied multimodal large language model for object-centric robotic manipulation,.

Few-Shot Vision-Language Action-Incremental Policy Learning Manipllm: Embodied multimodal large language model for object-centric robotic manipulation,

Reference 3

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Observation f8aefcc9-e586-47a3-b566-98f34a7f622d · outbound

This paper cites Hierarchical diffusion policy for kinematics-aware multi-task robotic manipulation,.

Few-Shot Vision-Language Action-Incremental Policy Learning Hierarchical diffusion policy for kinematics-aware multi-task robotic manipulation,

Reference 4

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Observation dfee80a3-fba9-40f4-bafe-1299e518776f · outbound

This paper cites Dexterous grasp transformer,.

Few-Shot Vision-Language Action-Incremental Policy Learning Dexterous grasp transformer,

Reference 5

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Observation ccaebaae-2638-4706-9d40-928be1b299b6 · outbound

This paper cites Unidexgrasp: Universal robotic dexterous grasping via learning diverse proposal generation and goal-conditioned policy,.

Few-Shot Vision-Language Action-Incremental Policy Learning Unidexgrasp: Universal robotic dexterous grasping via learning diverse proposal generation and goal-conditioned policy,

Reference 6

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Observation cd4b7b48-bc2e-4767-bd25-6043bb7f1067 · outbound

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

Few-Shot Vision-Language Action-Incremental Policy Learning PaLM-E: An Embodied Multimodal Language Model

Reference 7

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Observation 80ac79e0-dac4-4283-a2a2-b87bb4058a4c · outbound

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

Few-Shot Vision-Language Action-Incremental Policy Learning VIMA: General Robot Manipulation with Multimodal Prompts

Reference 8

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Observation 71e493e2-e7ca-468e-b27b-5bfdc5f744ba · outbound

This paper cites Mastering Robot Manipulation with Multimodal Prompts through Pretraining and Multi-task Fine-tuning.

Few-Shot Vision-Language Action-Incremental Policy Learning Mastering Robot Manipulation with Multimodal Prompts through Pretraining and Multi-task Fine-tuning

Reference 9

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Observation 4905bc07-f014-48fd-a638-e09a907a01af · outbound

This paper cites Instruction-driven history-aware policies for robotic manipulations,.

Few-Shot Vision-Language Action-Incremental Policy Learning Instruction-driven history-aware policies for robotic manipulations,

Reference 10

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Observation dfc89061-bdea-4928-b854-21bd5d539e74 · outbound

This paper cites Rvt: Robotic view transformer for 3d object manipulation,.

Few-Shot Vision-Language Action-Incremental Policy Learning Rvt: Robotic view transformer for 3d object manipulation,

Reference 11

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Observation ebc20fa3-01b1-49cb-acef-073d7ce5a279 · outbound

This paper cites RVT-2: Learning Precise Manipulation from Few Demonstrations.

Few-Shot Vision-Language Action-Incremental Policy Learning RVT-2: Learning Precise Manipulation from Few Demonstrations

Reference 12

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Observation 49f59e59-cb56-4d65-857c-dcb23c3a3442 · outbound

This paper cites SAM-E: Leveraging Visual Foundation Model with Sequence Imitation for Embodied Manipulation.

Few-Shot Vision-Language Action-Incremental Policy Learning SAM-E: Leveraging Visual Foundation Model with Sequence Imitation for Embodied Manipulation

Reference 13

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Observation aa2c7d9c-8dc1-47a9-bb79-9ed000ba10e8 · outbound

This paper cites Sugar: Pre-training 3d visual representations for robotics,.

Few-Shot Vision-Language Action-Incremental Policy Learning Sugar: Pre-training 3d visual representations for robotics,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:28:40.004152Z

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Observation f15bb195-a663-423e-9321-2577ab31b135 · outbound

This paper cites Semantic prompt for few-shot image recognition,.

Few-Shot Vision-Language Action-Incremental Policy Learning Semantic prompt for few-shot image recognition,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:28:39.915032Z

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Observation d9935f88-0f51-4870-9258-5ab164697838 · outbound

This paper cites Winclip: Zero-/few-shot anomaly classification and segmentation,.

Few-Shot Vision-Language Action-Incremental Policy Learning Winclip: Zero-/few-shot anomaly classification and segmentation,

Reference 16

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Observation ee1da1c6-780e-40b4-90f8-c039b1343204 · outbound

This paper cites Not all features matter: Enhancing few-shot clip with adaptive prior refinement,.

Few-Shot Vision-Language Action-Incremental Policy Learning Not all features matter: Enhancing few-shot clip with adaptive prior refinement,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:28:39.888777Z

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Observation 1231075f-ccf2-49e9-852e-cbfc1e5c2c52 · outbound

This paper cites Tip-adapter: Training-free adaption of clip for few-shot classification,.

Few-Shot Vision-Language Action-Incremental Policy Learning Tip-adapter: Training-free adaption of clip for few-shot classification,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:28:39.874393Z

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Observation efb10b7e-25c9-4c56-9f01-49a54fdf069c · outbound

This paper cites Conditional prompt learning for vision-language models,.

Few-Shot Vision-Language Action-Incremental Policy Learning Conditional prompt learning for vision-language models,

Reference 19

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Observation 54d3a263-02fa-492b-9c57-96e11e718806 · outbound

This paper cites Smae: Few-shot learning for hdr deghosting with saturation-aware masked autoencoders,.

Few-Shot Vision-Language Action-Incremental Policy Learning Smae: Few-shot learning for hdr deghosting with saturation-aware masked autoencoders,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:28:39.739692Z

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Observation 4e897649-de53-4e54-8123-bfa25fb38308 · outbound

This paper cites Styleadv: Meta style adversarial training for cross-domain few-shot learning,.

Few-Shot Vision-Language Action-Incremental Policy Learning Styleadv: Meta style adversarial training for cross-domain few-shot learning,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:28:39.642523Z

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Observation ec65f50c-6e7c-420d-94d6-163259f6ceff · outbound

This paper cites Rethinking few-shot medical segmentation: a vector quantization view,.

Few-Shot Vision-Language Action-Incremental Policy Learning Rethinking few-shot medical segmentation: a vector quantization view,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:28:39.627598Z

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Observation 51f64e91-8339-4a10-9e74-d1889ba09bf1 · outbound

This paper cites Hyperbolic insights with knowledge distillation for cross-domain few-shot learning,.

Few-Shot Vision-Language Action-Incremental Policy Learning Hyperbolic insights with knowledge distillation for cross-domain few-shot learning,

Reference 23

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Observation 3efc7876-2bb3-4cab-a6f3-416bc685b74c · outbound

This paper cites Cross-modal contrastive learning network for few-shot action recognition,.

Few-Shot Vision-Language Action-Incremental Policy Learning Cross-modal contrastive learning network for few-shot action recognition,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:28:39.596003Z

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Observation d1a0e223-9f51-4bfb-b9b7-47278773ee63 · outbound

This paper cites Transductive few-shot learning with enhanced spectral-spatial embedding for hyperspectral image classification,.

Few-Shot Vision-Language Action-Incremental Policy Learning Transductive few-shot learning with enhanced spectral-spatial embedding for hyperspectral image classification,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:28:39.580806Z

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Observation ca36be71-f1bf-4395-907d-6d7fc56c0147 · outbound

This paper cites Enhancing information maximization with distance-aware contrastive learning for source-free cross-domain few-shot learning,.

Few-Shot Vision-Language Action-Incremental Policy Learning Enhancing information maximization with distance-aware contrastive learning for source-free cross-domain few-shot learning,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:28:39.565496Z

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Observation 10e23fc2-4de2-457a-9727-5209e33edbea · outbound

This paper cites One-shot imitation learning,.

Few-Shot Vision-Language Action-Incremental Policy Learning One-shot imitation learning,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:28:39.549782Z

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Observation cecf90c9-b8ac-4834-9976-6201cacff462 · outbound

This paper cites One-shot visual imitation learning via meta-learning,.

Few-Shot Vision-Language Action-Incremental Policy Learning One-shot visual imitation learning via meta-learning,

Reference 28

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Observation a4043ee3-640a-412d-8596-a64925d3f697 · outbound

This paper cites Task-embedded control networks for few-shot imitation learning,.

Few-Shot Vision-Language Action-Incremental Policy Learning Task-embedded control networks for few-shot imitation learning,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:28:39.525444Z

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Observation f91d1f96-dab3-47b0-bbde-62bb9af8b1e5 · outbound

This paper cites One-Shot Imitation Learning with Invariance Matching for Robotic Manipulation.

Few-Shot Vision-Language Action-Incremental Policy Learning One-Shot Imitation Learning with Invariance Matching for Robotic Manipulation

Reference 30

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Observation 8904cda0-24ff-42b3-a2c4-f4320ba78da7 · outbound

This paper cites R3M: A Universal Visual Representation for Robot Manipulation.

Few-Shot Vision-Language Action-Incremental Policy Learning R3M: A Universal Visual Representation for Robot Manipulation

Reference 31

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Observation ae3dce56-2969-4f91-be76-a4bfdb9fbe35 · outbound

This paper cites Robocat: A self-improving generalist agent for robotic manipulation,.

Few-Shot Vision-Language Action-Incremental Policy Learning Robocat: A self-improving generalist agent for robotic manipulation,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:28:39.475327Z

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Observation 001322ab-2afc-494b-a596-ebfa36c0c6e3 · outbound

This paper cites Octo: An Open-Source Generalist Robot Policy.

Few-Shot Vision-Language Action-Incremental Policy Learning Octo: An Open-Source Generalist Robot Policy

Reference 33

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Observation 7f7f3444-bda7-497f-85fe-7a8dd9d77d45 · outbound

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

Few-Shot Vision-Language Action-Incremental Policy Learning OpenVLA: An Open-Source Vision-Language-Action Model

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-16T11:28:37.357311Z

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Observation c546b114-a9bb-40d0-9d60-6ad344ce8277 · outbound

This paper cites Perceiver-actor: A multi-task transformer for robotic manipulation,.

Few-Shot Vision-Language Action-Incremental Policy Learning Perceiver-actor: A multi-task transformer for robotic manipulation,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:28:39.448066Z

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Observation f02303a9-ffa8-4fc6-af9b-6b57db3dcfba · outbound

This paper cites Gnfactor: Multi-task real robot learning with generalizable neural feature fields,.

Few-Shot Vision-Language Action-Incremental Policy Learning Gnfactor: Multi-task real robot learning with generalizable neural feature fields,

Reference 36

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Observation 49e78541-aaaf-4bba-a75d-b9709ba01a32 · outbound

This paper cites Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need.

Few-Shot Vision-Language Action-Incremental Policy Learning Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need

Reference 37

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Observation d0c2a9a6-b0be-4101-886d-a6a2bcd8cc42 · outbound

This paper cites Foster: Feature boosting and compression for class-incremental learning,.

Few-Shot Vision-Language Action-Incremental Policy Learning Foster: Feature boosting and compression for class-incremental learning,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:28:39.406474Z

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Observation ab0e73df-20bb-433c-84af-df25cd0d0d45 · outbound

This paper cites Topology-preserving class-incremental learning,.

Few-Shot Vision-Language Action-Incremental Policy Learning Topology-preserving class-incremental learning,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:28:39.377336Z

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Observation 11d41a8d-e730-4594-9616-b5041fd6b769 · outbound

This paper cites Mamba-FSCIL: Dynamic Adaptation with Selective State Space Model for Few-Shot Class-Incremental Learning.

Few-Shot Vision-Language Action-Incremental Policy Learning Mamba-FSCIL: Dynamic Adaptation with Selective State Space Model for Few-Shot Class-Incremental Learning

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-16T11:28:37.620865Z

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Observation fea481b9-a149-4cc0-af9f-b7a5a8020094 · outbound

This paper cites Multimodal parameter-efficient few-shot class incremental learning,.

Few-Shot Vision-Language Action-Incremental Policy Learning Multimodal parameter-efficient few-shot class incremental learning,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:28:39.361951Z

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Observation 750d2ab2-51d9-4655-942b-3e8906215ca8 · outbound

This paper cites Few-shot class-incremental learning,.

Few-Shot Vision-Language Action-Incremental Policy Learning Few-shot class-incremental learning,

Reference 42

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Observation 60b5447e-6467-4714-b82c-1ca6f08adeed · outbound

This paper cites Few-shot incremental learning with continually evolved classifiers,.

Few-Shot Vision-Language Action-Incremental Policy Learning Few-shot incremental learning with continually evolved classifiers,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:28:39.338100Z

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Observation 249e56c2-03e1-4ed6-b81b-948961ee5f12 · outbound

This paper cites Forward compatible few-shot class-incremental learning,.

Few-Shot Vision-Language Action-Incremental Policy Learning Forward compatible few-shot class-incremental learning,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:28:39.323516Z

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Observation d5d591fd-1341-48e4-ad8b-0f047831a253 · outbound

This paper cites Gkeal: Gaussian kernel embedded analytic learning for few-shot class incremental task,.

Few-Shot Vision-Language Action-Incremental Policy Learning Gkeal: Gaussian kernel embedded analytic learning for few-shot class incremental task,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:28:39.309100Z

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Observation 8fc32642-5eee-49af-93e3-af15b0d2c475 · outbound

This paper cites Der: Dynamically expandable representation for class incremental learning,.

Few-Shot Vision-Language Action-Incremental Policy Learning Der: Dynamically expandable representation for class incremental learning,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:28:39.294257Z

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Observation 886ed712-ea57-4c06-8fee-ac43b82897a4 · outbound

This paper cites Ntk-guided few-shot class incremental learning,.

Few-Shot Vision-Language Action-Incremental Policy Learning Ntk-guided few-shot class incremental learning,

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-16T11:28:37.691213Z

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Observation 1d80a1fa-80c9-4c07-84be-85088d55d8b2 · outbound

This paper cites Relationship-incremental scene graph generation by a divide-and-conquer pipeline with feature adapter,.

Few-Shot Vision-Language Action-Incremental Policy Learning Relationship-incremental scene graph generation by a divide-and-conquer pipeline with feature adapter,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:28:39.237697Z

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Observation 338e8860-34b1-4615-9eb6-083459e72876 · outbound

This paper cites Memorizing complementation network for few-shot class-incremental learning,.

Few-Shot Vision-Language Action-Incremental Policy Learning Memorizing complementation network for few-shot class-incremental learning,

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-16T11:28:37.700689Z

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Observation f97badff-121e-4dae-ab9b-e9b7ee8a184f · outbound

This paper cites Overcoming catastrophic forgetting in neural networks,.

Few-Shot Vision-Language Action-Incremental Policy Learning Overcoming catastrophic forgetting in neural networks,

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-16T11:28:37.771344Z

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Observation 3fe86e29-5a1a-4330-b157-bd75edc964f3 · outbound

This paper cites Memory aware synapses: Learning what (not) to forget,.

Few-Shot Vision-Language Action-Incremental Policy Learning Memory aware synapses: Learning what (not) to forget,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:28:39.187536Z

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Observation 51efef6d-4a45-4a28-bcae-b4cb63fb9d20 · outbound

This paper cites Continual learning through synaptic intelligence,.

Few-Shot Vision-Language Action-Incremental Policy Learning Continual learning through synaptic intelligence,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:28:39.171818Z

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Observation c25d4fca-fb2d-4247-8454-77822d8d99b3 · outbound

This paper cites icarl: Incremental classifier and representation learning,.

Few-Shot Vision-Language Action-Incremental Policy Learning icarl: Incremental classifier and representation learning,

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-16T11:28:37.961571Z

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Observation 69f6fc49-33ae-492d-89aa-8c83928fd9a2 · outbound

This paper cites Memory-efficient incremental learning through feature adaptation,.

Few-Shot Vision-Language Action-Incremental Policy Learning Memory-efficient incremental learning through feature adaptation,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:28:39.146899Z

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Observation f4944077-6024-410a-952c-62edd7c7747d · outbound

This paper cites Incremental learning using conditional adversarial networks,.

Few-Shot Vision-Language Action-Incremental Policy Learning Incremental learning using conditional adversarial networks,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:28:39.131583Z

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Observation 181d0b2b-763b-49d6-8f51-17abec2ce897 · outbound

This paper cites Adaptive memory replay for continual learning,.

Few-Shot Vision-Language Action-Incremental Policy Learning Adaptive memory replay for continual learning,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:28:39.115310Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e82b44f8-054a-4752-b065-dc8e650f1379 · outbound

This paper cites Balanced destruction- reconstruction dynamics for memory-replay class incremental learning,.

Few-Shot Vision-Language Action-Incremental Policy Learning Balanced destruction- reconstruction dynamics for memory-replay class incremental learning,

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-16T11:28:37.978283Z

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Observation c4973e73-3e72-4196-860a-50ebd111c063 · outbound

This paper cites Coda-prompt: Continual decomposed attention-based prompting for rehearsal-free continual learning,.

Few-Shot Vision-Language Action-Incremental Policy Learning Coda-prompt: Continual decomposed attention-based prompting for rehearsal-free continual learning,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:28:39.045092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1d218712-2788-4626-958f-0b12ff82b75e · outbound

This paper cites Hierarchical decomposition of prompt-based continual learning: Rethinking obscured sub-optimality,.

Few-Shot Vision-Language Action-Incremental Policy Learning Hierarchical decomposition of prompt-based continual learning: Rethinking obscured sub-optimality,

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-16T11:28:37.988364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4a6e616-d9dc-4f90-8f63-8043970d5620 · outbound

This paper cites Dualprompt: Complementary prompting for rehearsal-free continual learning,.

Few-Shot Vision-Language Action-Incremental Policy Learning Dualprompt: Complementary prompting for rehearsal-free continual learning,

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-16T11:28:37.993060Z

Source-reported events for the cited work

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Observation 1b4be507-8415-4d3a-bd28-4f9fc41b0fef · outbound

This paper cites S-prompts learning with pre- trained transformers: An occam’s razor for domain incremental learning,.

Few-Shot Vision-Language Action-Incremental Policy Learning S-prompts learning with pre- trained transformers: An occam’s razor for domain incremental learning,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:28:38.989053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3bed6a3b-e36d-4b8e-a623-80379d190f19 · outbound

This paper cites Few-shot continual active learning by a robot,.

Few-Shot Vision-Language Action-Incremental Policy Learning Few-shot continual active learning by a robot,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:28:38.973169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a84dcf91-e1a9-4670-8034-a00027e43e5b · outbound

This paper cites Vision-Language Navigation with Continual Learning.

Few-Shot Vision-Language Action-Incremental Policy Learning Vision-Language Navigation with Continual Learning

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-16T11:28:38.007310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eba34cc5-11c5-4337-b1b6-92ece43c9894 · outbound

This paper cites Continual vision-and-language navigation,.

Few-Shot Vision-Language Action-Incremental Policy Learning Continual vision-and-language navigation,

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-16T11:28:38.012814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ae993ac-88eb-435b-bfa6-c064e9fcb9bc · outbound

This paper cites Libero: Benchmarking knowledge transfer for lifelong robot learning,.

Few-Shot Vision-Language Action-Incremental Policy Learning Libero: Benchmarking knowledge transfer for lifelong robot learning,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:28:38.917371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 309c0454-3beb-453d-aed0-b98be63b4000 · outbound

This paper cites Lotus: Continual imitation learning for robot manipulation through unsupervised skill discovery,.

Few-Shot Vision-Language Action-Incremental Policy Learning Lotus: Continual imitation learning for robot manipulation through unsupervised skill discovery,

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-16T11:28:38.083145Z

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Observation 51a470d6-e9cb-4bfd-92ac-6e7550537f40 · outbound

This paper cites M2Distill: Multi-Modal Distillation for Lifelong Imitation Learning.

Few-Shot Vision-Language Action-Incremental Policy Learning M2Distill: Multi-Modal Distillation for Lifelong Imitation Learning

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-16T11:28:38.185263Z

Source-reported events for the cited work

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Observation e93fac9f-ead8-4314-a21c-9bc8d6846927 · outbound

This paper cites TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models.

Few-Shot Vision-Language Action-Incremental Policy Learning TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-16T11:28:38.191031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65328927-efc3-4e14-9b4d-83c468585b8a · outbound

This paper cites Attention is all you need,.

Few-Shot Vision-Language Action-Incremental Policy Learning Attention is all you need,

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-16T11:28:38.195795Z

Source-reported events for the cited work

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Observation b6b915dd-4c65-42f3-a184-b20c7d16ca96 · outbound

This paper cites Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning.

Few-Shot Vision-Language Action-Incremental Policy Learning Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-16T11:28:38.200461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 750d2d91-fed4-49a5-a8d3-97a3aa504f7e · outbound

This paper cites Vision-language foundation models as effective robot imitators,.

Few-Shot Vision-Language Action-Incremental Policy Learning Vision-language foundation models as effective robot imitators,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:28:38.854683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8730354e-9aff-4c28-8731-7c872ac65aa6 · outbound

This paper cites Rlbench: The robot learning benchmark & learning environment,.

Few-Shot Vision-Language Action-Incremental Policy Learning Rlbench: The robot learning benchmark & learning environment,

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-16T11:28:38.209891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98e9e242-766d-49c0-87de-a47bd9bc4470 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Few-Shot Vision-Language Action-Incremental Policy Learning LoRA: Low-Rank Adaptation of Large Language Models

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-16T11:28:38.213648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 979c7fb0-3b49-4c5c-8fdf-379c67bb808e · outbound

This paper cites Segment anything,.

Few-Shot Vision-Language Action-Incremental Policy Learning Segment anything,

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-16T11:28:38.218572Z

Source-reported events for the cited work

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Observation 49d0e2f2-4bb4-4ab6-a0cc-b16becb0d623 · outbound

This paper cites Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation.

Few-Shot Vision-Language Action-Incremental Policy Learning Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-16T11:28:38.266401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c53faf3-80af-48da-aed4-a19e3d868c0b · outbound

This paper cites Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware.

Few-Shot Vision-Language Action-Incremental Policy Learning Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-16T11:28:38.346281Z

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