Paper Citation Record · LEDGER

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data

As of 11 August 2026, this Paper Citation Record lists 69 of 69 outbound references and 2 inbound Pith citation observations for arXiv:2501.04595.

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

pith.paper-citation-record.v1
2501.04595 v2

Coverage vector

measured 69 of 69 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:31:54.137846Z

measured 71 of 71 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:51:57.582471Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T21:09:20.018740Z

Reference resolution

69 of 69 outbound references displayed

verified exact2
verified fuzzy41
unresolved25
parse uncertain0
malformed identifier1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation be5a3c1f-8ea6-4d98-bbf4-655a00eb0873 · outbound

This paper cites ShapeNet: An Information-Rich 3D Model Repository.

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data ShapeNet: An Information-Rich 3D Model Repository

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:53.890522Z

Source-reported events for the cited work

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Observation 5ae0dec9-985e-470f-b4e0-0a8a6d8f44f7 · outbound

This paper cites Dexycb: A benchmark for capturing hand grasping of objects.

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data Dexycb: A benchmark for capturing hand grasping of objects

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:54.881566Z

Source-reported events for the cited work

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Observation 44fd4f73-bb79-48cc-a9ce-0a3b0920cde1 · outbound

This paper cites Handoversim: A simulation framework and benchmark for human-to-robot object han- dovers.

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data Handoversim: A simulation framework and benchmark for human-to-robot object han- dovers

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:54.870679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 04577f20-0dce-4a72-ae11-4c82960a1cba · outbound

This paper cites SynH2R: Synthesizing Hand-Object Motions for Learning Human-to-Robot Handovers.

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data SynH2R: Synthesizing Hand-Object Motions for Learning Human-to-Robot Handovers

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:53.903622Z

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Observation ab66febb-45ee-4b19-b24a-37bdc350c8ad · outbound

This paper cites Learning human-to-robot handovers from point clouds.

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data Learning human-to-robot handovers from point clouds

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:54.859888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a56d7497-e3a6-4bd6-836c-5f84f5b5af61 · outbound

This paper cites Nonlinear model pre- dictive control for human-robot handover with application to the aerial case.

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data Nonlinear model pre- dictive control for human-robot handover with application to the aerial case

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:54.848468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 14a81703-53e6-47d9-a93a-31f30f9e45a6 · outbound

This paper cites Pybullet, a python mod- ule for physics simulation for games, robotics and machine learning.

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data Pybullet, a python mod- ule for physics simulation for games, robotics and machine learning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:53.915540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15a81078-50bb-4ea1-b9ab-7c7ca7fdb63f · outbound

This paper cites Imitating Task and Motion Planning with Visuomotor Transformers.

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data Imitating Task and Motion Planning with Visuomotor Transformers

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:53.919124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f09fe5d4-a00f-4d6e-a232-037ccd8bf554 · outbound

This paper cites Objaverse: A universe of annotated 3d objects.

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data Objaverse: A universe of annotated 3d objects

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:53.923045Z

Source-reported events for the cited work

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Observation f94a96e6-01c4-42ce-97ca-a268211ef99f · outbound

This paper cites Objaverse-xl: A universe of 10m+ 3d objects.

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data Objaverse-xl: A universe of 10m+ 3d objects

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:53.926623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c65779ce-a77c-43d9-a9c9-b4fd817a6fe5 · outbound

This paper cites Hu- man–robot object handover: Recent progress and future di- rection.

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data Hu- man–robot object handover: Recent progress and future di- rection

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:54.818093Z

Source-reported events for the cited work

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Observation ab7914b9-3b61-4d44-b615-0e16613b7146 · outbound

This paper cites Acronym: A large-scale grasp dataset based on simulation.

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data Acronym: A large-scale grasp dataset based on simulation

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:54.805664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation fe370b91-97df-4abf-9c78-5f7ca89ec81d · outbound

This paper cites Arctic: A dataset for dexterous bimanual hand- object manipulation.

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data Arctic: A dataset for dexterous bimanual hand- object manipulation

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:54.792707Z

Source-reported events for the cited work

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Observation ba03eb1c-6aae-474d-bae7-0105f53b1168 · outbound

This paper cites Graspnet-1billion: A large-scale benchmark for general ob- ject grasping.

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data Graspnet-1billion: A large-scale benchmark for general ob- ject grasping

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:54.781544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 86be029c-573b-476d-9c59-09bd17db0cf9 · outbound

This paper cites Robust grasping across diverse sensor qualities: The graspnet-1billion dataset.

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data Robust grasping across diverse sensor qualities: The graspnet-1billion dataset

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:54.771391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 83082540-9452-4056-b1ce-522927095a0c · outbound

This paper cites Anygrasp: Robust and efficient grasp perception in spa- tial and temporal domains.

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data Anygrasp: Robust and efficient grasp perception in spa- tial and temporal domains

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:54.760842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 018bef56-0b75-43ca-8232-971778747777 · outbound

This paper cites Integrated task and motion planning.

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data Integrated task and motion planning

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:54.750248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f2773e23-e3a1-4086-9c2e-892fecb8705a · outbound

This paper cites Ego4d: Around the world in 3,000 hours of egocentric video.

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data Ego4d: Around the world in 3,000 hours of egocentric video

Reference 18

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Source-reported events for the cited work

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Observation aaa13be6-af62-4f73-a0d9-8224c6da7938 · outbound

This paper cites Scaling Up and Distilling Down: Language-Guided Robot Skill Acquisition.

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data Scaling Up and Distilling Down: Language-Guided Robot Skill Acquisition

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:53.961633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6a5e1ce-da94-499d-b647-95aa033b99ad · outbound

This paper cites Human-to-robot han- dover control of an autonomous mobile robot based on hand- masked object pose estimation.

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data Human-to-robot han- dover control of an autonomous mobile robot based on hand- masked object pose estimation

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:54.732851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8af65022-8aa4-4aaa-9354-ee2e6ce33654 · outbound

This paper cites Human3.6m: Large scale datasets and predic- tive methods for 3d human sensing in natural environments.

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data Human3.6m: Large scale datasets and predic- tive methods for 3d human sensing in natural environments

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:54.722780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a48f5946-b51e-462b-8953-540f7b0dbdd2 · outbound

This paper cites Robot learning of mobile manipulation with reachability behavior priors.

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data Robot learning of mobile manipulation with reachability behavior priors

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:54.713048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 949e9e83-85c1-4141-af68-e26b92c48752 · outbound

This paper cites Guided motion diffusion for controllable human motion synthesis, 2023.

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data Guided motion diffusion for controllable human motion synthesis, 2023

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:54.702492Z

Source-reported events for the cited work

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Observation bb2194af-de17-47ee-81ed-f49fda0a19fe · outbound

This paper cites Hrl4in: Hierarchical reinforcement learning for interactive navigation with mobile manipulators.

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data Hrl4in: Hierarchical reinforcement learning for interactive navigation with mobile manipulators

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:54.692181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f5da7840-8e44-42d7-9fa2-c2a90c162628 · outbound

This paper cites Deepim: Deep iterative matching for 6d pose estimation.

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data Deepim: Deep iterative matching for 6d pose estimation

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:54.681106Z

Source-reported events for the cited work

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Observation b69e2d7a-001e-44a9-9d14-a398f598a994 · outbound

This paper cites Motion-x: A large- scale 3d expressive whole-body human motion dataset, 2024.

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data Motion-x: A large- scale 3d expressive whole-body human motion dataset, 2024

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:54.670075Z

Source-reported events for the cited work

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Observation 35719ad7-41ca-40ff-bfa2-05f3cdcd9211 · outbound

This paper cites Visual Whole-Body Control for Legged Loco-Manipulation.

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data Visual Whole-Body Control for Legged Loco-Manipulation

Reference 27

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Source-reported events for the cited work

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Observation d0f5b424-3a7e-4130-8491-c59fa8eb8fe0 · outbound

This paper cites Hoi4d: A 4d egocentric dataset for category-level human- object interaction.

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data Hoi4d: A 4d egocentric dataset for category-level human- object interaction

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:54.659112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 18771504-6ae0-4e02-a9d5-6a5a57d372ed · outbound

This paper cites an unresolved cited work.

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:31:54.647758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3f2c216a-29da-4b35-8171-bf4ce5bf1d0d · outbound

This paper cites Troje, Ger- ard Pons-Moll, and Michael J.

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data Troje, Ger- ard Pons-Moll, and Michael J

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:54.637156Z

Source-reported events for the cited work

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Observation 7ba44479-c4a4-4643-ac4f-d6a3487f7745 · outbound

This paper cites Isaac gym: High performance gpu-based physics sim- ulation for robot learning, 2021.

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data Isaac gym: High performance gpu-based physics sim- ulation for robot learning, 2021

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:54.626010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ea9b2bfe-0a50-4bec-b59a-0a2c3b4caff6 · outbound

This paper cites Guided imitation of task and motion planning.

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data Guided imitation of task and motion planning

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:54.614383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5f69c153-ddb8-45be-b3a9-5aeb83c86fe4 · outbound

This paper cites The role of robots in the service industry: Factors affecting human-robot inter- actions.

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data The role of robots in the service industry: Factors affecting human-robot inter- actions

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:54.603621Z

Source-reported events for the cited work

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Observation e0407231-9436-479e-92fb-8e72472d9cc8 · outbound

This paper cites LBAP: Improved Uncertainty Alignment of LLM Planners using Bayesian Inference.

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data LBAP: Improved Uncertainty Alignment of LLM Planners using Bayesian Inference

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:54.011792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56f2cd7d-02ad-4024-84ae-ad02745f9bb3 · outbound

This paper cites Ai and human-robot interaction: A review of recent advances and challenges.

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data Ai and human-robot interaction: A review of recent advances and challenges

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:54.592850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6731619c-349b-4041-af21-f108190bb09d · outbound

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

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:54.019663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ae45cf8-26f6-4d9d-affc-3151487a1de9 · outbound

This paper cites Gpt-4, 2023.

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data Gpt-4, 2023

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:54.582279Z

Source-reported events for the cited work

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Observation 3b597035-b37f-46f5-9b82-d02467f1c69c · outbound

This paper cites an unresolved cited work.

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:31:54.572507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ba53d234-9531-4675-a046-276cafb8936b · outbound

This paper cites Pointnet++: Deep hierarchical feature learning on point sets in a metric space.

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data Pointnet++: Deep hierarchical feature learning on point sets in a metric space

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:54.030801Z

Source-reported events for the cited work

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Observation 126484f0-872e-41cd-aba8-872db07e76a1 · outbound

This paper cites Chomp: Gradient optimization tech- niques for efficient motion planning.

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data Chomp: Gradient optimization tech- niques for efficient motion planning

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:54.556509Z

Source-reported events for the cited work

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Observation fab22ced-444e-4228-8e3f-a0befbf85de6 · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data SAM 2: Segment Anything in Images and Videos

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:54.037991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bf8018e-731b-4084-a9bd-d5f414619fce · outbound

This paper cites an unresolved cited work.

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data Unresolved cited work

Reference 42

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:31:54.545790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 45bedc37-7762-4eff-bdb3-eaac72d9ce97 · outbound

This paper cites Efficient variants of the icp algorithm.

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data Efficient variants of the icp algorithm

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:54.535281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5f9b17bb-7b02-45bb-a81f-11156c66701d · outbound

This paper cites Grasping in the wild: Learning 6dof closed- loop grasping from low-cost demonstrations.

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data Grasping in the wild: Learning 6dof closed- loop grasping from low-cost demonstrations

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:54.525228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0c7f42ca-10e6-45fb-a083-0834f1672112 · outbound

This paper cites Quadwbg: Generalizable quadrupedal whole-body grasping, 2024.

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data Quadwbg: Generalizable quadrupedal whole-body grasping, 2024

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:54.514892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c9bafe77-3f09-4f69-b975-2407945dc22a · outbound

This paper cites GenSim: Generating Robotic Simulation Tasks via Large Language Models.

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data GenSim: Generating Robotic Simulation Tasks via Large Language Models

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:54.057342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70d64d0f-1150-4903-af51-7599a55837cb · outbound

This paper cites Dexgraspnet: A large-scale robotic dexterous grasp dataset for general ob- jects based on simulation, 2023.

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data Dexgraspnet: A large-scale robotic dexterous grasp dataset for general ob- jects based on simulation, 2023

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:54.504668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c105f5a0-74db-40f5-aefe-5e5370366e18 · outbound

This paper cites RoboGen: Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation.

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data RoboGen: Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:54.065261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 584e5250-9607-4277-8df7-24ab173db035 · outbound

This paper cites Genh2r: Learning generalizable human- to-robot handover via scalable simulation demonstration and 10 imitation.

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data Genh2r: Learning generalizable human- to-robot handover via scalable simulation demonstration and 10 imitation

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:54.494023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b7a44f4a-f222-4d90-8af4-1e88a22aa0e4 · outbound

This paper cites ReLMoGen: Leveraging Motion Generation in Reinforcement Learning for Mobile Manipulation.

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data ReLMoGen: Leveraging Motion Generation in Reinforcement Learning for Mobile Manipulation

Reference 50

Resolution: verified exact; local_arxiv, observed 2026-08-10T21:31:54.201836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1fe02e1d-0a28-41c1-9e8e-926f63b17b66 · outbound

This paper cites Language models meet world models: Embodied experiences enhance lan- guage models.

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data Language models meet world models: Embodied experiences enhance lan- guage models

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:54.483176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3a6329a4-4573-4743-8aa9-db08fd3665d5 · outbound

This paper cites Harmonic Mobile Manipulation.

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data Harmonic Mobile Manipulation

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:54.079513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18554b33-5814-42d1-a4c5-2b40fa197c21 · outbound

This paper cites Reactive human-to-robot handovers of arbitrary objects.

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data Reactive human-to-robot handovers of arbitrary objects

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:54.473650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation bf1cbfcb-50f2-49ba-bc97-c0ff3731e5cf · outbound

This paper cites H2o: A benchmark for visual human-human object handover analysis.

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data H2o: A benchmark for visual human-human object handover analysis

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:54.463213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ce9ede67-e11a-482e-9b3b-415ff3e0ec17 · outbound

This paper cites Asc: Adaptive skill coordination for robotic mobile manipulation.

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data Asc: Adaptive skill coordination for robotic mobile manipulation

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:54.453170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 009f61cd-36a4-43e7-8fbb-aeb427dd65aa · outbound

This paper cites Flexible Handover with Real-Time Robust Dynamic Grasp Trajectory Generation.

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data Flexible Handover with Real-Time Robust Dynamic Grasp Trajectory Generation

Reference 56

Resolution: verified exact; local_arxiv, observed 2026-08-10T21:31:54.174996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation fd22be7d-96f6-42df-a43e-73fcf3fd9499 · outbound

This paper cites Human-to-Robot Handovers.

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data Human-to-Robot Handovers

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:54.442880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation cc9e006b-86b2-43bd-998d-f792ee142b06 · outbound

This paper cites MobileH2R-Sim.

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data MobileH2R-Sim

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:54.432293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8c0eda0d-5c10-4167-bfac-9932ee011a61 · outbound

This paper cites Evaluation on Different Methods.

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data Evaluation on Different Methods

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:54.422682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a44306e5-136c-439c-85a0-52a3b62e5f61 · outbound

This paper cites as if",.

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data as if",

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:54.412644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 006e8df4-6d9d-4e0f-bef1-856199766232 · outbound

This paper cites an unresolved cited work.

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data Unresolved cited work

Reference 61

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:31:54.402702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 53b5b45c-e785-4ef1-a860-248271773477 · outbound

This paper cites an unresolved cited work.

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data Unresolved cited work

Reference 62

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:31:54.392251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7dc63adf-82ab-4bd9-85c4-a4889f05506e · outbound

This paper cites s0” results in a significant average drop in the success rate by 34.6%. When trained on the simpler human- involved “m0.

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data s0” results in a significant average drop in the success rate by 34.6%. When trained on the simpler human- involved “m0

Reference 63

Resolution: malformed identifier; raw_fallback, observed 2026-08-10T21:31:54.381555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5ff5f372-12ca-4145-8888-a7e9bf2ad72a · outbound

This paper cites m0”. In the complex setting, users may sit, go downstairs, or perform adversarial actions to mimic “n0.

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data m0”. In the complex setting, users may sit, go downstairs, or perform adversarial actions to mimic “n0

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:54.369809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b2693a32-0505-4d60-9b2d-28b23aa4a82e · outbound

This paper cites an unresolved cited work.

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data Unresolved cited work

Reference 65

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:31:54.357402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 501461be-d5e2-494a-9ed9-5e84d637d7ce · outbound

This paper cites an unresolved cited work.

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data Unresolved cited work

Reference 66

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:31:54.345030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a45fa13d-110a-4c4c-8e48-ac9e1aa2cb3f · outbound

This paper cites an unresolved cited work.

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data Unresolved cited work

Reference 67

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:31:54.335280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c544da02-e94d-42fa-aa68-1cf19b645a51 · outbound

This paper cites an unresolved cited work.

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data Unresolved cited work

Reference 68

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:31:54.325558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation bde19c39-b818-4fb2-acb8-000fb21979b8 · outbound

This paper cites User study for sim-to-real experiments.

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data User study for sim-to-real experiments

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:31:54.315151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Pith citing papers

Observation 294da6f3-80da-48bd-ad35-b563fc6cc356 · inbound

DexH2R: A Benchmark for Dynamic Dexterous Grasping in Human-to-Robot Handover cites this paper.

DexH2R: A Benchmark for Dynamic Dexterous Grasping in Human-to-Robot Handover MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T21:51:57.582471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15aac288-7b32-4997-ab53-cf04a1b133ca · inbound

A Survey: Learning Embodied Intelligence from Physical Simulators and World Models cites this paper.

A Survey: Learning Embodied Intelligence from Physical Simulators and World Models MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data

Reference 191

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:09:20.057371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.