Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:35:56.715966Z
Paper Citation Record · LEDGER
PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation
As of 22 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 1 inbound Pith citation observation for arXiv:2505.21652.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-29T17:19:04.477325Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T17:23:44.944253Z
Reference resolution
65 of 65 outbound references displayed
- verified exact1
- verified fuzzy23
- unresolved40
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation e66acdad-935e-429a-b4ac-ceb7eaa315b2 · outbound
This paper cites Do As I Can, Not As I Say: Grounding Language in Robotic Affordances.
PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:35:49.583081Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation db6e3df0-2f33-4fbe-928a-87006d3962d1 · outbound
This paper cites V olumetric grasping network: Real- time 6 dof grasp detection in clutter.
PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation V olumetric grasping network: Real- time 6 dof grasp detection in clutter
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:40:14.979447Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 00af9c65-f85d-4cee-8000-c9d0b1154606 · outbound
This paper cites RT-1: Robotics Transformer for Real-World Control at Scale.
PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation RT-1: Robotics Transformer for Real-World Control at Scale
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:35:49.780748Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c3a04c4c-2efd-4d29-825a-4071608a1a2e · outbound
This paper cites ShapeNet: An Information-Rich 3D Model Repository.
PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation ShapeNet: An Information-Rich 3D Model Repository
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:35:49.917497Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 60808c01-0a0a-477d-80da-86449e2c712b · outbound
This paper cites Diffusion Policy: Visuomotor Policy Learning via Action Diffusion.
PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation Diffusion Policy: Visuomotor Policy Learning via Action Diffusion
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:35:50.013800Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 45a6fd92-476f-48f2-941d-e5fb4b00a4d3 · outbound
This paper cites Pybullet, a python module for physics simulation for games, robotics and machine learning.
PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation Pybullet, a python module for physics simulation for games, robotics and machine learning
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:35:50.164564Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a27c6490-9a3e-400f-b0d5-0d17e5389760 · outbound
This paper cites Open6dor: Benchmarking open- instruction 6-dof object rearrangement and a vlm-based approach.
PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation Open6dor: Benchmarking open- instruction 6-dof object rearrangement and a vlm-based approach
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:36:03.965609Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation d27a06b3-d17c-4e91-b38e-961700fdf788 · outbound
This paper cites Self- supervised correspondence in visuomotor policy learn- ing.IEEE Robotics and Automation Letters, 5(2):492– 499, 2019.
PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation Self- supervised correspondence in visuomotor policy learn- ing.IEEE Robotics and Automation Letters, 5(2):492– 499, 2019
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:36:03.764478Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 4d235d0a-c55c-4c0f-8d9d-3f1bde34ce19 · outbound
This paper cites Partmanip: Learning cross-category generalizable part manipulation policy from point cloud observations.
PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation Partmanip: Learning cross-category generalizable part manipulation policy from point cloud observations
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:35:50.613161Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 723c5945-0c0a-4f0e-9312-7af2bc2e08a8 · outbound
This paper cites SAGE: Bridging Semantic and Actionable Parts for GEneralizable Manipulation of Articulated Objects.
PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation SAGE: Bridging Semantic and Actionable Parts for GEneralizable Manipulation of Articulated Objects
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:35:50.691406Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d737bb0e-24d1-490f-aaa5-1ebf12db08ff · outbound
This paper cites Act3d: 3d feature field transform- ers for multi-task robotic manipulation.
PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation Act3d: 3d feature field transform- ers for multi-task robotic manipulation
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:36:03.567560Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation e161643e-c19f-4303-ba14-23f5a4cedaa3 · outbound
This paper cites Rvt: Robotic view transformer for 3d object manipulation.
PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation Rvt: Robotic view transformer for 3d object manipulation
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:35:50.986102Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d668f55e-27f6-49d0-86f4-0446a1f7764e · outbound
This paper cites RVT-2: Learning Precise Manipulation from Few Demonstrations.
PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation RVT-2: Learning Precise Manipulation from Few Demonstrations
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:35:51.083897Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 61a8649e-47d3-4b20-867c-c680c4bdd0ae · outbound
This paper cites Deep residual learning for image recognition.
PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation Deep residual learning for image recognition
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:35:51.214742Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 780f86ad-ecc7-4b68-aff9-b317704d4653 · outbound
This paper cites Gpt-4o: The cutting-edge advancement in multimodal llm.Authorea Preprints, 2024.
PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation Gpt-4o: The cutting-edge advancement in multimodal llm.Authorea Preprints, 2024
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:36:03.314993Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 5ed71e3b-21a0-41ec-8390-182bfe6f8cce · outbound
This paper cites Rlbench: The robot learning bench- mark & learning environment.IEEE Robotics and Automation Letters, 5(2):3019–3026, 2020.
PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation Rlbench: The robot learning bench- mark & learning environment.IEEE Robotics and Automation Letters, 5(2):3019–3026, 2020
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:35:51.427712Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 73d4b582-0fab-41f3-8e91-8cbcbbb83445 · outbound
This paper cites A unified Bayesian inversion approach for a class of tumor growth models with different pressure laws.
PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation A unified Bayesian inversion approach for a class of tumor growth models with different pressure laws
Reference 17
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-07T13:35:57.783830Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 77311db2-4bb6-4ce4-91f1-2241affa5b9a · outbound
This paper cites 3D Diffuser Actor: Policy Diffusion with 3D Scene Representations.
PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation 3D Diffuser Actor: Policy Diffusion with 3D Scene Representations
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:35:51.603528Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2d2b69a4-150f-44e9-b740-e78058a9d12a · outbound
This paper cites OpenVLA: An Open-Source Vision-Language-Action Model.
PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation OpenVLA: An Open-Source Vision-Language-Action Model
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:35:51.716685Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4afae2cf-a45f-4b54-b412-ade8e40fcc1b · outbound
This paper cites Rrt-connect: An efficient approach to single-query path planning.
PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation Rrt-connect: An efficient approach to single-query path planning
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:36:03.054029Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 21339f4c-b588-4a35-a8bc-a3a32bee72a9 · outbound
This paper cites Code as policies: Language model programs for em- bodied control.
PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation Code as policies: Language model programs for em- bodied control
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:35:51.944885Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation adc5b2ea-269a-47b1-a98a-60794b00414f · outbound
This paper cites Composable Part-Based Manipulation.
PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation Composable Part-Based Manipulation
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:35:52.105194Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 95faf741-fb88-42d8-843c-816a621e24f3 · outbound
This paper cites Learning to Generalize Across Long-Horizon Tasks from Human Demonstrations.
PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation Learning to Generalize Across Long-Horizon Tasks from Human Demonstrations
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:35:52.216964Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c2fc301b-9804-4d70-b0c3-fbdbd0c03a3a · outbound
This paper cites Calvin: A benchmark for language- conditioned policy learning for long-horizon robot ma- nipulation tasks.IEEE Robotics and Automation Letters, 7(3):7327–7334, 2022.
PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation Calvin: A benchmark for language- conditioned policy learning for long-horizon robot ma- nipulation tasks.IEEE Robotics and Automation Letters, 7(3):7327–7334, 2022
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:35:52.280112Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8cd7b85a-01d8-47ed-a47f-5afab2c23ae3 · outbound
This paper cites GameVLM: A Decision-making Framework for Robotic Task Planning Based on Visual Language Models and Zero-sum Games.
PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation GameVLM: A Decision-making Framework for Robotic Task Planning Based on Visual Language Models and Zero-sum Games
Reference 25
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T13:35:57.442744Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 8230625c-6793-4ae4-99a4-3be50767f884 · outbound
This paper cites Chang, Li Yi, Subarna Tripathi, Leonidas J.
PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation Chang, Li Yi, Subarna Tripathi, Leonidas J
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:36:02.823440Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation a7e980f5-23d6-4640-9145-8c89d2b2a79a · outbound
This paper cites ManiSkill: Generalizable Manipulation Skill Benchmark with Large-Scale Demonstrations.
PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation ManiSkill: Generalizable Manipulation Skill Benchmark with Large-Scale Demonstrations
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:35:52.601805Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 042fc0c1-10fb-49a7-847a-3b5068e7a7fe · outbound
This paper cites Open x-embodiment: Robotic learning datasets and rt-x models.
PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation Open x-embodiment: Robotic learning datasets and rt-x models
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:35:52.682337Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7b73de08-ba62-4091-8aef-dcf69c267e71 · outbound
This paper cites PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space.
PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:35:52.854751Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e9a2554f-ae1c-4a9a-b2cb-0543b9cfaa25 · outbound
This paper cites Learning transferable visual models from natural lan- guage supervision.
PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation Learning transferable visual models from natural lan- guage supervision
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:35:52.974072Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c9a9ee56-075d-4d9e-bb2e-2f0b3020cb2b · outbound
This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.Journal of machine learning research, 21(140):1–67, 2020.
PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation Exploring the limits of transfer learning with a unified text-to-text transformer.Journal of machine learning research, 21(140):1–67, 2020
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:35:53.100604Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ec80524a-29ba-4473-b4ec-89be86a5be91 · outbound
This paper cites Vision-based multi-task manipulation for inexpensive robots using end-to-end learning from demonstration.
PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation Vision-based multi-task manipulation for inexpensive robots using end-to-end learning from demonstration
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:36:02.440482Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation f3c7bf42-2b71-4a64-b419-3b5b5a5297cb · outbound
This paper cites Sam 2: Segment anything in images and videos, 2024.
PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation Sam 2: Segment anything in images and videos, 2024
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:35:53.534322Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f4a3593e-dfc0-4a2f-a5e3-a112a808cced · outbound
This paper cites Grounded sam: Assembling open-world models for di- verse visual tasks, 2024.
PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation Grounded sam: Assembling open-world models for di- verse visual tasks, 2024
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:35:53.648727Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e0b43f80-0302-4f7f-982f-7da89e86414f · outbound
This paper cites A comprehensive overview of deep learning techniques for 3d point cloud classification and semantic segmentation.Machine Vision and Applications, 35(4): 67, 2024.
PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation A comprehensive overview of deep learning techniques for 3d point cloud classification and semantic segmentation.Machine Vision and Applications, 35(4): 67, 2024
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:36:02.197555Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 1b1dac74-3846-49ff-a3d8-6501cc827cf2 · outbound
This paper cites Perceiver-actor: A multi-task transformer for robotic ma- nipulation.
PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation Perceiver-actor: A multi-task transformer for robotic ma- nipulation
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:35:53.862717Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 706b397a-f9ee-49ff-a052-27f8a9b2fbb1 · outbound
This paper cites Llm-planner: Few-shot grounded planning for embodied agents with large language models.
PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation Llm-planner: Few-shot grounded planning for embodied agents with large language models
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:36:01.939103Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 117349c7-002e-4485-956a-871c2cb80049 · outbound
This paper cites A review of point cloud segmentation for understanding 3d indoor scenes.Visual Intelligence, 2(1):14, 2024.
PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation A review of point cloud segmentation for understanding 3d indoor scenes.Visual Intelligence, 2(1):14, 2024
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:36:01.581974Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 10720829-881f-400c-93cc-7b2f92207e14 · outbound
This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.
PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:35:54.173767Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b1ae4b24-4bfb-43e1-8e11-4ac41fd34a3a · outbound
This paper cites Octo: An Open-Source Generalist Robot Policy.
PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation Octo: An Open-Source Generalist Robot Policy
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:35:54.279340Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation db414160-fbe0-4869-9a61-658ac6faf558 · outbound
This paper cites Vlm see, robot do: Human demo video to robot action plan via vision language model.
PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation Vlm see, robot do: Human demo video to robot action plan via vision language model
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:35:54.351487Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 576e9fd0-5872-4415-8a0e-28d4b7da5efd · outbound
This paper cites Learning adaptive planning representations with natural language guidance.
PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation Learning adaptive planning representations with natural language guidance
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:35:54.445779Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4aa7c587-dd1e-4fe4-8467-11fc3d9b63fd · outbound
This paper cites Embodied Task Planning with Large Language Models.
PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation Embodied Task Planning with Large Language Models
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:35:54.551219Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4bb8697f-2637-4064-bda9-3b48bd4b786e · outbound
This paper cites Chang, Leonidas J.
PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation Chang, Leonidas J
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:35:54.669376Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 349d9d40-efbf-48cc-9187-11edef270eb5 · outbound
This paper cites Sapien: A simulated part-based interactive environment.
PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation Sapien: A simulated part-based interactive environment
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:35:54.846083Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8be2bea4-2890-496c-bca7-06d60f75503d · outbound
This paper cites RoboPoint: A Vision-Language Model for Spatial Affordance Prediction for Robotics.
PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation RoboPoint: A Vision-Language Model for Spatial Affordance Prediction for Robotics
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:35:54.956409Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b62f4619-dcc6-447c-9830-b15c7b02a7fc · outbound
This paper cites A survey of imitation learning: Al- gorithms, recent developments, and challenges.IEEE Transactions on Cybernetics, 2024.
PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation A survey of imitation learning: Al- gorithms, recent developments, and challenges.IEEE Transactions on Cybernetics, 2024
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:35:55.041578Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c6dc25ff-8e54-45c8-8498-0e76d56bf0bf · outbound
This paper cites 3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations.
PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation 3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:35:55.134175Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8e1f138e-9942-438d-8699-e76ee63bb819 · outbound
This paper cites LoHoRavens: A Long-Horizon Language-Conditioned Benchmark for Robotic Tabletop Manipulation.
PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation LoHoRavens: A Long-Horizon Language-Conditioned Benchmark for Robotic Tabletop Manipulation
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:35:55.256912Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f97a1a1d-de47-4ce2-aacf-032a49dd7bd0 · outbound
This paper cites Deep imitation learning for complex manipulation tasks from virtual reality teleoperation.
PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation Deep imitation learning for complex manipulation tasks from virtual reality teleoperation
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:36:01.299613Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 935651e2-4893-4188-95ac-5c8af53fb2ce · outbound
This paper cites Table IX: Definition of Predicates Predicate Description ON(obj, part, contact) Whetherobjis on thecontact.
PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation Table IX: Definition of Predicates Predicate Description ON(obj, part, contact) Whetherobjis on thecontact
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:36:01.056167Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 11ce36d4-8dba-467c-8ae9-ff1a6cdd1baa · outbound
This paper cites Table X: Definition of Base Skills Skill Description Preconditions Effects grasp_obj(obj, part) Robot graspsobjatpart.
PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation Table X: Definition of Base Skills Skill Description Preconditions Effects grasp_obj(obj, part) Robot graspsobjatpart
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:36:00.745901Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation e0dd9e4b-fe77-4589-8095-a424433441b8 · outbound
This paper cites an unresolved cited work.
PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation Unresolved cited work
Reference 55
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T13:36:00.519007Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation ee8df9e7-af4d-4d85-99c3-0e33e9c6b4a1 · outbound
This paper cites Table XIII: Observation and Action Space details.
PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation Table XIII: Observation and Action Space details
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:36:00.333129Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 57f3aca1-3c77-46eb-97d1-8fb66a4e8c8e · outbound
This paper cites PartGym supports real-time rendering of different visual modalities (see Figure 9).
PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation PartGym supports real-time rendering of different visual modalities (see Figure 9)
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:36:00.101797Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation db7fc843-d5ae-4558-a618-44b362e17600 · outbound
This paper cites Additionally, PartGym provides a framework to implement bi-level planning models for part-level manipulation tasks in simulation environments.
PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation Additionally, PartGym provides a framework to implement bi-level planning models for part-level manipulation tasks in simulation environments
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:35:59.919095Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 78311cf7-fe74-482a-a468-fb7e983b7c91 · outbound
This paper cites Figure 10: Left: Training set.
PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation Figure 10: Left: Training set
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:35:59.646687Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 8a7b64ee-e370-433a-b393-9666959b74e5 · outbound
This paper cites an unresolved cited work.
PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation Unresolved cited work
Reference 60
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T13:35:59.363878Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 841b1b88-9ad3-4eec-8d50-5aac322eb5ef · outbound
This paper cites For RVT2 [12] and Octo [41], we implemented both fine-tuning of the pretrained models and training from scratch on our dataset.
PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation For RVT2 [12] and Octo [41], we implemented both fine-tuning of the pretrained models and training from scratch on our dataset
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:35:59.147883Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 9bb59127-de34-4058-8778-0726344caabc · outbound
This paper cites For RT-1, we followed the implementation of Open X-Embodiment project and used the releasedrt_1_x_tf_trained_for_002272480_stepcheckpoint for inference.
PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation For RT-1, we followed the implementation of Open X-Embodiment project and used the releasedrt_1_x_tf_trained_for_002272480_stepcheckpoint for inference
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:35:58.956722Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 3812e171-12ce-421a-b061-e9e192f9223a · outbound
This paper cites an unresolved cited work.
PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation Unresolved cited work
Reference 63
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T13:35:58.790514Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation fb4d5704-0c94-45b6-9a6c-54063d080c59 · outbound
This paper cites The executed skill instructions show the sequence of actions taken so far.
PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation The executed skill instructions show the sequence of actions taken so far
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:35:58.651612Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 8d9e9ecc-9fcf-4637-9a9c-2c77b4366103 · outbound
This paper cites The TCP poses and images together illustrate the state transitions of the previous action.
PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation The TCP poses and images together illustrate the state transitions of the previous action
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:35:58.454398Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation dccba558-f7ce-4998-b97d-69b138f2f2b0 · outbound
This paper cites Move the box in the air towards the right while keeping in touch with the right, then put it down.
PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation Move the box in the air towards the right while keeping in touch with the right, then put it down
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:35:58.181118Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 782056a5-48bc-405f-a3c8-57a15e7dec31 · outbound
This paper cites SAM 2: Segment Anything in Images and Videos.
PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation SAM 2: Segment Anything in Images and Videos
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:35:53.438587Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation 9eed3036-5fa9-433b-a62a-17c7bddfe3eb · inbound
FineVLA: Fine-Grained Instruction Alignment for Steerable Vision-Language-Action Policies cites this paper.
FineVLA: Fine-Grained Instruction Alignment for Steerable Vision-Language-Action Policies PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T17:23:44.946075Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.