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Paper Citation Record · LEDGER

Learning human-to-robot handovers through 3D scene reconstruction

As of 17 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2507.08726.

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

pith.paper-citation-record.v1
2507.08726 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:18:28.491430Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

51 of 51 outbound references displayed

  • verified exact4
  • verified fuzzy40
  • unresolved7
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3e703dae-7655-468a-a674-f7db773be480 · outbound

This paper cites DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset.

Learning human-to-robot handovers through 3D scene reconstruction DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset

Reference 1

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unresolved
no resolver link, observed 2026-08-06T18:18:24.034085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0b4d867d-06c9-46e9-9839-6fa1b1746dd0 · outbound

This paper cites A Survey of Sim-to-Real Methods in RL: Progress, Prospects and Challenges with Foundation Models.

Learning human-to-robot handovers through 3D scene reconstruction A Survey of Sim-to-Real Methods in RL: Progress, Prospects and Challenges with Foundation Models

Reference 2

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unresolved
no resolver link, observed 2026-08-06T18:18:24.090778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 35f51624-eb97-4a6a-a450-531362762f57 · outbound

This paper cites Sim-to-real robot learning from pixels with progressive nets,.

Learning human-to-robot handovers through 3D scene reconstruction Sim-to-real robot learning from pixels with progressive nets,

Reference 4

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 9a7cfa34-bfd3-4729-a9fe-c8c8c2107e09 · outbound

This paper cites Sim-to-real via sim- to-sim: Data-efficient robotic grasping via randomized-to-canonical adaptation networks,.

Learning human-to-robot handovers through 3D scene reconstruction Sim-to-real via sim- to-sim: Data-efficient robotic grasping via randomized-to-canonical adaptation networks,

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-06T18:18:35.281850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 5499c7fe-f2c4-4045-873f-db15a4444174 · outbound

This paper cites Adversarial learning,.

Learning human-to-robot handovers through 3D scene reconstruction Adversarial learning,

Reference 6

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 19da9ef1-007d-49cb-8dac-3190ac388cdd · outbound

This paper cites Progressive feature alignment for unsupervised domain adaptation,.

Learning human-to-robot handovers through 3D scene reconstruction Progressive feature alignment for unsupervised domain adaptation,

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-06T18:18:34.941168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 8c8f7bf6-7724-436e-8f46-fbb4f39c6d97 · outbound

This paper cites RL-CycleGAN: Reinforcement learning aware simulation-to-real,.

Learning human-to-robot handovers through 3D scene reconstruction RL-CycleGAN: Reinforcement learning aware simulation-to-real,

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-06T18:18:34.784370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T18:18:24.714030Z digest=sha256:9ba8d5054269309175f08771d99247747b77ae57cc05fd7c8e923cf2f8eda357

Observation 81ce023d-5fad-4d5d-8469-864f6a57b004 · outbound

This paper cites Unpaired image-to-image translation using cycle-consistent adversarial networks,.

Learning human-to-robot handovers through 3D scene reconstruction Unpaired image-to-image translation using cycle-consistent adversarial networks,

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-06T18:18:34.668048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T18:18:24.764439Z digest=sha256:9b3c9d7de53bd0a2c4e2d2fb314348127793beabb898c716d1045979b4985178

Observation 8ce9b762-6f9a-4fd0-8ec9-5e33cdcfec74 · outbound

This paper cites CyCADA: Cycle-consistent adversarial domain adaptation,.

Learning human-to-robot handovers through 3D scene reconstruction CyCADA: Cycle-consistent adversarial domain adaptation,

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-06T18:18:34.517707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 8a536030-7d5f-4ec9-948d-a486061ef3df · outbound

This paper cites Learning to Read Braille: Bridging the Tactile Reality Gap with Diffusion Models.

Learning human-to-robot handovers through 3D scene reconstruction Learning to Read Braille: Bridging the Tactile Reality Gap with Diffusion Models

Reference 11

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verified exact
local_arxiv, observed 2026-08-06T18:18:29.296682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 6443d1dc-4dac-48f8-ac92-d1ba8ee4a548 · outbound

This paper cites Sim2real bilevel adaptation for object surface classification using vision-based tactile sensors,.

Learning human-to-robot handovers through 3D scene reconstruction Sim2real bilevel adaptation for object surface classification using vision-based tactile sensors,

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-06T18:18:34.401646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 3f72d861-2d24-48ee-b717-152c75a7d043 · outbound

This paper cites Crossing the reality gap: A survey on sim-to-real transferability of robot controllers in reinforcement learning,.

Learning human-to-robot handovers through 3D scene reconstruction Crossing the reality gap: A survey on sim-to-real transferability of robot controllers in reinforcement learning,

Reference 13

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verified fuzzy
raw_fallback, observed 2026-08-06T18:18:34.249279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T18:18:25.074203Z digest=sha256:5a2e94659514291b3c4a7ea4d632790460786d2706ca42fcae40c636e5a47df7

Observation 3bf551a7-5f7f-48ef-92f8-41e822a2c69a · outbound

This paper cites RL-GSBridge: 3D Gaussian Splatting Based Real2Sim2Real Method for Robotic Manipulation Learning.

Learning human-to-robot handovers through 3D scene reconstruction RL-GSBridge: 3D Gaussian Splatting Based Real2Sim2Real Method for Robotic Manipulation Learning

Reference 14

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verified exact
local_arxiv, observed 2026-08-06T18:18:29.160053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T18:18:25.232897Z digest=sha256:2d058192f660c3cea2fb96ed3a06d306fca203fdc3effd836a21d9cefa7ab332

Observation 6e18fb3a-868c-40a1-afa2-888de199957e · outbound

This paper cites NeRF2Real: Sim2real transfer of vision-guided bipedal motion skills using neural radiance fields,.

Learning human-to-robot handovers through 3D scene reconstruction NeRF2Real: Sim2real transfer of vision-guided bipedal motion skills using neural radiance fields,

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-06T18:18:34.107400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 2967e827-0f6a-44f4-84bb-4bbebbf65f23 · outbound

This paper cites Learning to see by moving,.

Learning human-to-robot handovers through 3D scene reconstruction Learning to see by moving,

Reference 16

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verified fuzzy
raw_fallback, observed 2026-08-06T18:18:33.949073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 183037a9-8145-4195-8a38-dab7b3cce59e · outbound

This paper cites OHPL: One-shot hand-eye policy learner,.

Learning human-to-robot handovers through 3D scene reconstruction OHPL: One-shot hand-eye policy learner,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:18:33.800204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 909c02cc-c7f9-45f5-b8bc-dd2eeb921ff3 · outbound

This paper cites HandoverSim: A simulation framework and benchmark for human-to-robot object handovers,.

Learning human-to-robot handovers through 3D scene reconstruction HandoverSim: A simulation framework and benchmark for human-to-robot object handovers,

Reference 18

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raw_fallback, observed 2026-08-06T18:18:33.709215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation c2517b59-eb33-4570-8f26-62cbb739c414 · outbound

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

Learning human-to-robot handovers through 3D scene reconstruction Learning human-to-robot handovers from point clouds,

Reference 19

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 015c2d4b-4571-45b6-88b3-932fc03fd8c2 · outbound

This paper cites GenH2R: Learning generalizable human-to-robot handover via scalable simu- lation demonstration and imitation,.

Learning human-to-robot handovers through 3D scene reconstruction GenH2R: Learning generalizable human-to-robot handover via scalable simu- lation demonstration and imitation,

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation dc3b5c71-479b-4598-927a-c3d852a12f16 · outbound

This paper cites DNGaussian: Optimizing sparse-view 3d gaussian radiance fields with global-local depth normalization,.

Learning human-to-robot handovers through 3D scene reconstruction DNGaussian: Optimizing sparse-view 3d gaussian radiance fields with global-local depth normalization,

Reference 21

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verified fuzzy
raw_fallback, observed 2026-08-06T18:18:33.144250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 04919925-fd9b-48fe-9ec9-cb155479d8d0 · outbound

This paper cites CoherentGS: Sparse novel view synthesis with coherent 3d gaussians,.

Learning human-to-robot handovers through 3D scene reconstruction CoherentGS: Sparse novel view synthesis with coherent 3d gaussians,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:18:32.947319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 5c6a1efc-65b2-4a34-9803-73490b3b8c17 · outbound

This paper cites FSGS: Real-time few-shot view synthesis using gaussian splatting,.

Learning human-to-robot handovers through 3D scene reconstruction FSGS: Real-time few-shot view synthesis using gaussian splatting,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:18:32.758135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 1a056951-61ba-46eb-af5c-067f13720c06 · outbound

This paper cites MVPGS: Excavating multi-view priors for gaussian splatting from sparse input views,.

Learning human-to-robot handovers through 3D scene reconstruction MVPGS: Excavating multi-view priors for gaussian splatting from sparse input views,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:18:32.627746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T18:18:26.253716Z digest=sha256:6f93249248bd2ac9d84bd7930211a15660d56f90e5ed056107eec9337ff534c9

Observation 2a856c70-5188-4727-b43e-e8d87b3111ce · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.

Learning human-to-robot handovers through 3D scene reconstruction 3d gaussian splatting for real-time radiance field rendering

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:18:32.478309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T18:18:26.329113Z digest=sha256:df3ead7a4832be841e7c4f627e6679ee9313dd1c1f48f2429625df8b9f87b865

Observation beaf7356-6bb6-4be3-aedf-63ee8fbd333a · outbound

This paper cites ManiGaussian: Dynamic gaussian splatting for multi-task robotic manipulation,.

Learning human-to-robot handovers through 3D scene reconstruction ManiGaussian: Dynamic gaussian splatting for multi-task robotic manipulation,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:18:32.327202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T18:18:26.397994Z digest=sha256:790ba23f4ea37901abc83d0cf5f6f019c93dcab353057549b99b0c5b9df3a8c1

Observation f0fbedc7-cd9a-4a4f-a593-fc0056b04ed3 · outbound

This paper cites GraspSplat: Efficient manipulation with 3d feature splatting,.

Learning human-to-robot handovers through 3D scene reconstruction GraspSplat: Efficient manipulation with 3d feature splatting,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:18:32.195719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T18:18:26.459644Z digest=sha256:be48f6aacd9d85753d983b0867a39332643d74bd4768ff1d8564cf95111ace5c

Observation 1db4e608-8a92-44c6-97b1-83f617f41ac4 · outbound

This paper cites Splat-MOVER: Multi-stage, open- vocabulary robotic manipulation via editable gaussian splatting,.

Learning human-to-robot handovers through 3D scene reconstruction Splat-MOVER: Multi-stage, open- vocabulary robotic manipulation via editable gaussian splatting,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:18:31.983975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T18:18:26.537813Z digest=sha256:e49f9f3e1ea85b93c9e5a4698c321bf324c0397e0cad1ebddc0a889043520800

Observation fc2bf35a-7201-42f2-bcbe-e02d53385571 · outbound

This paper cites Splat-Nav: Safe real-time robot naviga- tion in gaussian splatting maps,.

Learning human-to-robot handovers through 3D scene reconstruction Splat-Nav: Safe real-time robot naviga- tion in gaussian splatting maps,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:18:31.826055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T18:18:26.612844Z digest=sha256:6f2fce4831e4babeaba90683059c396b8b33427b8b93aa92b72206cb8f9c881f

Observation 0922a89a-ec0c-4f0d-984e-0897a8430c28 · outbound

This paper cites What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study.

Learning human-to-robot handovers through 3D scene reconstruction What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study

Reference 30

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no resolver link, observed 2026-08-06T18:18:26.684738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:18:26.684738Z digest=sha256:dbc94543f3c8126cb0f7e9e85772606121d7a7b3435adb45c30a7e31df596ee5

Observation 61234df8-7bbd-458d-baa4-3206d4d71dfb · outbound

This paper cites End-to-end reinforcement learning for time-optimal quadcopter flight,.

Learning human-to-robot handovers through 3D scene reconstruction End-to-end reinforcement learning for time-optimal quadcopter flight,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:18:31.675434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T18:18:26.742624Z digest=sha256:2cb43395e7fad455194d46657ad3f9272c1fa3bbd4a8040d8f58faccb62ea519

Observation 5ab09650-4f29-4ebc-8025-6e8d7d84256c · outbound

This paper cites Scalable deep reinforcement learning for vision-based robotic manipulation,.

Learning human-to-robot handovers through 3D scene reconstruction Scalable deep reinforcement learning for vision-based robotic manipulation,

Reference 32

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verified fuzzy
raw_fallback, observed 2026-08-06T18:18:31.539201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T18:18:26.812984Z digest=sha256:34d48e545c18ae785f56c2d245f82eb1be9fb640838bfa6c594461634abbc1b3

Observation cd599038-7b4a-40ea-a398-f9c5effa69c3 · outbound

This paper cites Soft actor-critic: Off- policy maximum entropy deep reinforcement learning with a stochastic actor,.

Learning human-to-robot handovers through 3D scene reconstruction Soft actor-critic: Off- policy maximum entropy deep reinforcement learning with a stochastic actor,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:18:31.289077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T18:18:26.898323Z digest=sha256:109d3db04ed9a7278e8f545a71dc9a126943a05e53791f1bdc54c91be4a2e3bc

Observation 79443451-2197-44d8-85ee-4f15f9fc2728 · outbound

This paper cites Closing the sim-to-real loop: Adapting simulation randomization with real world experience,.

Learning human-to-robot handovers through 3D scene reconstruction Closing the sim-to-real loop: Adapting simulation randomization with real world experience,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:18:31.104614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T18:18:26.989473Z digest=sha256:923be8bad68751e3ec092ad97b39f0dee1049705312993fcb83f77c0c1dd5027

Observation 70bf7bc3-b92a-4e23-9cea-c63fefd7af79 · outbound

This paper cites Domain randomization for transferring deep neural networks from simulation to the real world,.

Learning human-to-robot handovers through 3D scene reconstruction Domain randomization for transferring deep neural networks from simulation to the real world,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:18:35.712234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T18:18:27.115692Z digest=sha256:8a3a320323819b28e19b7044cd675be56503b459a01af273ee652171fbf62ed2

Observation 260e60df-5dcb-42df-ae06-807d508014e0 · outbound

This paper cites Sim-to- real transfer of robotic control with dynamics randomization,.

Learning human-to-robot handovers through 3D scene reconstruction Sim-to- real transfer of robotic control with dynamics randomization,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:18:30.958739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T18:18:27.206758Z digest=sha256:71bb00ef735e1d11eef0fce102d6b558195bfe84b44d142f191148ca0c78c003

Observation 3046121a-ca4a-44cd-acf2-c277e8a5d881 · outbound

This paper cites Generative adversarial imitation learning,.

Learning human-to-robot handovers through 3D scene reconstruction Generative adversarial imitation learning,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:18:30.732293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T18:18:27.305934Z digest=sha256:f9c9e48b33baeec2719382ff887e158cd02949157291c4b8d1033e39862ba929

Observation 209bfab0-bf42-4491-bfad-ea9edd2578b6 · outbound

This paper cites Deep imitation learning for bimanual robotic manipulation,.

Learning human-to-robot handovers through 3D scene reconstruction Deep imitation learning for bimanual robotic manipulation,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:18:30.522115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T18:18:27.375148Z digest=sha256:cf9563f3fecb40ab83f21a38f7abd27779ee7dc6654b7dcd09e0db2c35d7612e

Observation 5c2bc801-ae03-4df4-bae3-2eb7663c6b48 · outbound

This paper cites Algorithms for inverse reinforcement learning.

Learning human-to-robot handovers through 3D scene reconstruction Algorithms for inverse reinforcement learning

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:18:30.409159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T18:18:27.501807Z digest=sha256:ad376a86ee92f1ce274858c83f5a63bf2911a03d869862c3f1386feefd944f8b

Observation 90d81706-d0c0-460d-86a3-8c994626637e · outbound

This paper cites Neural inverse reinforcement learning in autonomous navigation,.

Learning human-to-robot handovers through 3D scene reconstruction Neural inverse reinforcement learning in autonomous navigation,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:18:30.257962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T18:18:27.636014Z digest=sha256:7e4fcbf6cf577324764ce596c4d71243f85d130dfdc8d99035c26ff753f345aa

Observation 01c086a6-08cd-4c9e-bc88-b8c09ff8f463 · outbound

This paper cites Recent advances in robot learning from demonstration,.

Learning human-to-robot handovers through 3D scene reconstruction Recent advances in robot learning from demonstration,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:18:30.119738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T18:18:27.707443Z digest=sha256:a25efd41e3dc3129ddf167574b27e115246e768a6ae3f8629fa0d3c4bcaa2cb4

Observation 5a032dcf-8ee3-45c9-b16b-c729cf0bfe8a · outbound

This paper cites Trail: Near-optimal imitation learning with suboptimal data,.

Learning human-to-robot handovers through 3D scene reconstruction Trail: Near-optimal imitation learning with suboptimal data,

Reference 42

Resolution
verified exact
raw_fallback, observed 2026-08-06T18:18:29.037654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T18:18:27.776599Z digest=sha256:0077015bb34396c41a5d0be9f20cd0cdea6764fb3ec932be4085d01bcb573ea0

Observation 9ca983fa-e4dd-434e-bc11-f1155e73555e · outbound

This paper cites Cross-domain imitation learning via optimal transport,.

Learning human-to-robot handovers through 3D scene reconstruction Cross-domain imitation learning via optimal transport,

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T18:18:27.848832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:18:27.848832Z digest=sha256:dd3cb86f378b50b883bc4bfc4ad213d32f5ae3dc3f29bdb9e518728a9efd71c1

Observation 012af329-82f7-4186-aba5-fdea035d6864 · outbound

This paper cites Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection,.

Learning human-to-robot handovers through 3D scene reconstruction Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:18:29.958467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T18:18:27.918002Z digest=sha256:9210676088270c452c88a88f8d695ca1dce97a6f18710b94e4f24eb31daca87c

Observation 84eaab84-33d4-4a0e-9bdc-49c858818134 · outbound

This paper cites Generalization through hand-eye coordination: An action space for learning spatially-invariant visuomotor control,.

Learning human-to-robot handovers through 3D scene reconstruction Generalization through hand-eye coordination: An action space for learning spatially-invariant visuomotor control,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:18:29.816042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T18:18:28.003378Z digest=sha256:a9ef99e8cbe4f76685b18965f1b22f8aed16d25b9982ce7db49748feba05f439

Observation 6239a348-76d0-492d-8672-db17421c5c58 · outbound

This paper cites ARCap: Collecting High-quality Human Demonstrations for Robot Learning with Augmented Reality Feedback.

Learning human-to-robot handovers through 3D scene reconstruction ARCap: Collecting High-quality Human Demonstrations for Robot Learning with Augmented Reality Feedback

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T18:18:28.078868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:18:28.078868Z digest=sha256:8f60ee922bfac41c9e531cf2d4ca27ece615409ec4f5c9b0e8a52c4c55212b0c

Observation 0fad4027-0728-4c83-8321-5d7d939c6025 · outbound

This paper cites 6-DOF GraspNet: Variational grasp generation for object manipulation,.

Learning human-to-robot handovers through 3D scene reconstruction 6-DOF GraspNet: Variational grasp generation for object manipulation,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:18:29.684277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T18:18:28.139779Z digest=sha256:08b364ed0db2980e0512a7fac4848748dccc764a8c174f0abd2f79bf5e357238

Observation 2eeac249-52d8-462f-8c2b-d825ec10426b · outbound

This paper cites Understanding human hands in contact at internet scale,.

Learning human-to-robot handovers through 3D scene reconstruction Understanding human hands in contact at internet scale,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:18:29.545100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T18:18:28.230230Z digest=sha256:9209278e3898f42bbb2f0ee0db6f6144347b7e83fe3f9ded4982494a5060d8fd

Observation 376bedc6-7f21-41f6-80d0-daed2bed8379 · outbound

This paper cites Fast Segment Anything.

Learning human-to-robot handovers through 3D scene reconstruction Fast Segment Anything

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-06T18:18:28.294064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:18:28.294064Z digest=sha256:dc3194beb0af6b76844bc6d8a2618f8967ceadeec6bc26a2de22c0d50d05dc35

Observation 8ca4f506-eb7e-4134-b97c-0df9e55fa7aa · outbound

This paper cites FrankMocap: A monocular 3d whole-body pose estimation system via regression and integration,.

Learning human-to-robot handovers through 3D scene reconstruction FrankMocap: A monocular 3d whole-body pose estimation system via regression and integration,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:18:29.431991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T18:18:28.364100Z digest=sha256:25bd4893f72ed2b4b544d59b3b1e7c4396551c0a6a08d3ddf717900bf595a20c

Observation 8f40d876-1b84-4bcc-ae56-96c931b37185 · outbound

This paper cites VTON-HandFit: Virtual Try-on for Arbitrary Hand Pose Guided by Hand Priors Embedding.

Learning human-to-robot handovers through 3D scene reconstruction VTON-HandFit: Virtual Try-on for Arbitrary Hand Pose Guided by Hand Priors Embedding

Reference 51

Resolution
verified exact
local_arxiv, observed 2026-08-06T18:18:28.693822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T18:18:28.427800Z digest=sha256:835a67d7a163ca88488fc80c52d7c9be4d26631b8d535e96ed0950215fd6f477

Observation 2f0afddc-1342-4958-8d1e-b4ec0e7088fc · outbound

This paper cites Cosmos World Foundation Model Platform for Physical AI.

Learning human-to-robot handovers through 3D scene reconstruction Cosmos World Foundation Model Platform for Physical AI

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-06T18:18:28.491430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:18:28.491430Z digest=sha256:edd5a6f78fc6e869eb99432f9aa153c2e01eb8a1f0fea6720bfb24ea79f315d9

Pith citing papers

No inbound Pith citation observations are available.