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Paper Citation Record · LEDGER

MoDeSuite: Robot Learning Task Suite for Benchmarking Mobile Manipulation with Deformable Objects

As of 14 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2507.21796.

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

pith.paper-citation-record.v1
2507.21796 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:25:48.862295Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

52 of 52 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 67be6799-148e-4d52-aa3e-2bcffa98d5e2 · outbound

This paper cites M 2 diffuser: Diffusion-based trajectory optimization for mobile manipulation in 3d scenes,.

MoDeSuite: Robot Learning Task Suite for Benchmarking Mobile Manipulation with Deformable Objects M 2 diffuser: Diffusion-based trajectory optimization for mobile manipulation in 3d scenes,

Reference 1

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Observation cf768149-b8be-4bbe-a7b5-5ef8640e8fcc · outbound

This paper cites Learning to Open and Traverse Doors with a Legged Manipulator.

MoDeSuite: Robot Learning Task Suite for Benchmarking Mobile Manipulation with Deformable Objects Learning to Open and Traverse Doors with a Legged Manipulator

Reference 2

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Observation 59ce123a-02bc-4677-8794-211ba1315426 · outbound

This paper cites Cherry-picking with reinforcement learning.

MoDeSuite: Robot Learning Task Suite for Benchmarking Mobile Manipulation with Deformable Objects Cherry-picking with reinforcement learning

Reference 3

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Observation 4209fc86-2e75-4e62-92f9-e1f8c4a1f261 · outbound

This paper cites Real-time dynamic ges- ture recognition for human-robot collaboration in rescue operations,.

MoDeSuite: Robot Learning Task Suite for Benchmarking Mobile Manipulation with Deformable Objects Real-time dynamic ges- ture recognition for human-robot collaboration in rescue operations,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation a03eea0d-d45a-40c1-b853-2e490874875f · outbound

This paper cites Motion planning for mobile manipulators—a systematic review,.

MoDeSuite: Robot Learning Task Suite for Benchmarking Mobile Manipulation with Deformable Objects Motion planning for mobile manipulators—a systematic review,

Reference 5

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 80cf00bb-202d-4313-ae25-267fb6daac3a · outbound

This paper cites Callister and D.

MoDeSuite: Robot Learning Task Suite for Benchmarking Mobile Manipulation with Deformable Objects Callister and D

Reference 6

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Source-reported events for the cited work

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Observation 5c8c7025-92d8-40ed-a5d1-fb1b9ef4f47a · outbound

This paper cites ManipulaTHOR: A framework for visual object manipulation,.

MoDeSuite: Robot Learning Task Suite for Benchmarking Mobile Manipulation with Deformable Objects ManipulaTHOR: A framework for visual object manipulation,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation f3b75114-d6d0-4761-9ffd-3c95fd2de764 · outbound

This paper cites robosuite: A Modular Simulation Framework and Benchmark for Robot Learning.

MoDeSuite: Robot Learning Task Suite for Benchmarking Mobile Manipulation with Deformable Objects robosuite: A Modular Simulation Framework and Benchmark for Robot Learning

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7b054904-3442-4966-8ef7-89626bdf7859 · outbound

This paper cites SoftGym: Benchmarking deep reinforcement learning for deformable object manipulation.

MoDeSuite: Robot Learning Task Suite for Benchmarking Mobile Manipulation with Deformable Objects SoftGym: Benchmarking deep reinforcement learning for deformable object manipulation

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 1ecd8621-5d37-4d6a-98de-932ce7b518b5 · outbound

This paper cites Reform: A robot learning sandbox for deformable linear object manipulation,.

MoDeSuite: Robot Learning Task Suite for Benchmarking Mobile Manipulation with Deformable Objects Reform: A robot learning sandbox for deformable linear object manipulation,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 24e98e91-65e6-41d5-a472-5f85da050651 · outbound

This paper cites Behavior-1k: A benchmark for embodied ai with 1,000 everyday activities and realistic simulation,.

MoDeSuite: Robot Learning Task Suite for Benchmarking Mobile Manipulation with Deformable Objects Behavior-1k: A benchmark for embodied ai with 1,000 everyday activities and realistic simulation,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 2ba95108-0d47-42a1-81ff-89d81045138a · outbound

This paper cites AI2-THOR: An Interactive 3D Environment for Visual AI.

MoDeSuite: Robot Learning Task Suite for Benchmarking Mobile Manipulation with Deformable Objects AI2-THOR: An Interactive 3D Environment for Visual AI

Reference 12

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no resolver link, observed 2026-08-06T12:25:48.744855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 68a5de0d-cc71-416d-a1aa-a132ba574efa · outbound

This paper cites The threedworld transport challenge: A visually guided task-and-motion planning benchmark towards physically real- istic embodied ai,.

MoDeSuite: Robot Learning Task Suite for Benchmarking Mobile Manipulation with Deformable Objects The threedworld transport challenge: A visually guided task-and-motion planning benchmark towards physically real- istic embodied ai,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 47fdcca5-af4a-40b4-9111-f9056b995493 · outbound

This paper cites Habitat 3.0: A co-habitat for humans, avatars and robots,.

MoDeSuite: Robot Learning Task Suite for Benchmarking Mobile Manipulation with Deformable Objects Habitat 3.0: A co-habitat for humans, avatars and robots,

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 3e0bacaa-de55-42f5-9e03-0095fce5c1b6 · outbound

This paper cites Maniskill3: Gpu parallelized robotics simulation and rendering for generalizable embodied ai,.

MoDeSuite: Robot Learning Task Suite for Benchmarking Mobile Manipulation with Deformable Objects Maniskill3: Gpu parallelized robotics simulation and rendering for generalizable embodied ai,

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 663b1465-c31a-4369-8ffe-52a5caa26822 · outbound

This paper cites Orbit: A Unified Simulation Framework for Interactive Robot Learning Environments.

MoDeSuite: Robot Learning Task Suite for Benchmarking Mobile Manipulation with Deformable Objects Orbit: A Unified Simulation Framework for Interactive Robot Learning Environments

Reference 16

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Source-reported events for the cited work

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Observation 1d8ff1e4-0889-4e9d-a48e-5e56f4e8416b · outbound

This paper cites Learning to Rearrange Deformable Cables, Fabrics, and Bags with Goal-Conditioned Transporter Networks,.

MoDeSuite: Robot Learning Task Suite for Benchmarking Mobile Manipulation with Deformable Objects Learning to Rearrange Deformable Cables, Fabrics, and Bags with Goal-Conditioned Transporter Networks,

Reference 17

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Source-reported events for the cited work

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Observation eaac96da-2c3c-4b8b-93f9-23477cd92f80 · outbound

This paper cites Dynamic environments with deformable objects,.

MoDeSuite: Robot Learning Task Suite for Benchmarking Mobile Manipulation with Deformable Objects Dynamic environments with deformable objects,

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation a682cffb-3c78-4e77-8b2e-3231c9ab244d · outbound

This paper cites Daxbench: Benchmarking deformable object ma- nipulation with differentiable physics,.

MoDeSuite: Robot Learning Task Suite for Benchmarking Mobile Manipulation with Deformable Objects Daxbench: Benchmarking deformable object ma- nipulation with differentiable physics,

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation d74d17c8-24a9-4f4d-9f64-4a711a440d6b · outbound

This paper cites Plasticinelab: A soft-body manipulation benchmark with differentiable physics,.

MoDeSuite: Robot Learning Task Suite for Benchmarking Mobile Manipulation with Deformable Objects Plasticinelab: A soft-body manipulation benchmark with differentiable physics,

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 07953fe8-bf54-42c8-a9fa-ea6f76da08f2 · outbound

This paper cites Dexgarmentlab: Dexterous garment manip- ulation environment with generalizable policy,.

MoDeSuite: Robot Learning Task Suite for Benchmarking Mobile Manipulation with Deformable Objects Dexgarmentlab: Dexterous garment manip- ulation environment with generalizable policy,

Reference 21

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Unavailable: canonical work link unavailable.

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Observation 1b4ee416-5b34-4c46-8d3f-b3b35b1880da · outbound

This paper cites Nvidia isaac sim,.

MoDeSuite: Robot Learning Task Suite for Benchmarking Mobile Manipulation with Deformable Objects Nvidia isaac sim,

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation aab1a2a5-a278-4219-a20e-e5ec5dd405dc · outbound

This paper cites Collaborative object manipulation through indirect control of a deformable sheet by a mobile robotic team,.

MoDeSuite: Robot Learning Task Suite for Benchmarking Mobile Manipulation with Deformable Objects Collaborative object manipulation through indirect control of a deformable sheet by a mobile robotic team,

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 9d52c4c0-40cf-4399-a6fe-e924662f83bb · outbound

This paper cites Planning and control for deformable linear object manipulation,.

MoDeSuite: Robot Learning Task Suite for Benchmarking Mobile Manipulation with Deformable Objects Planning and control for deformable linear object manipulation,

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation ad301040-e836-48fa-9f7b-87cba6fea007 · outbound

This paper cites Combining learning-based locomotion policy with model-based manipulation for legged mobile manipulators,.

MoDeSuite: Robot Learning Task Suite for Benchmarking Mobile Manipulation with Deformable Objects Combining learning-based locomotion policy with model-based manipulation for legged mobile manipulators,

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 89e8f44c-e580-4bcb-a89d-b86b48167b2e · outbound

This paper cites Learning kinematic feasibility for mobile manipulation through deep reinforcement learn- ing,.

MoDeSuite: Robot Learning Task Suite for Benchmarking Mobile Manipulation with Deformable Objects Learning kinematic feasibility for mobile manipulation through deep reinforcement learn- ing,

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 19c1dab4-4927-4ea9-a4bd-12fe02c0784c · outbound

This paper cites Learning shape control of elastoplas- tic deformable linear objects,.

MoDeSuite: Robot Learning Task Suite for Benchmarking Mobile Manipulation with Deformable Objects Learning shape control of elastoplas- tic deformable linear objects,

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 3ca79b12-00c6-427b-8daa-6f2ced268d44 · outbound

This paper cites Cloth manipulation using random-forest-based imitation learning,.

MoDeSuite: Robot Learning Task Suite for Benchmarking Mobile Manipulation with Deformable Objects Cloth manipulation using random-forest-based imitation learning,

Reference 28

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raw_fallback, observed 2026-08-06T12:25:49.420548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation e6c40684-ca14-4c6c-87b5-441f6f131388 · outbound

This paper cites Learning deformable object manipulation from expert demonstra- tions,.

MoDeSuite: Robot Learning Task Suite for Benchmarking Mobile Manipulation with Deformable Objects Learning deformable object manipulation from expert demonstra- tions,

Reference 29

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raw_fallback, observed 2026-08-06T12:25:49.411804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation b55c65ce-0a78-48c9-aba4-a5cc5ce112eb · outbound

This paper cites Demobot: Deformable mobile manipulation with vision-based sub-goal retrieval,.

MoDeSuite: Robot Learning Task Suite for Benchmarking Mobile Manipulation with Deformable Objects Demobot: Deformable mobile manipulation with vision-based sub-goal retrieval,

Reference 30

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raw_fallback, observed 2026-08-06T12:25:49.403140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 7fe7b5b4-18d8-4fc1-80d3-d593d4e0bba1 · outbound

This paper cites Exploring 3-d reconstruction techniques: A bench- marking tool for underwater robotics,.

MoDeSuite: Robot Learning Task Suite for Benchmarking Mobile Manipulation with Deformable Objects Exploring 3-d reconstruction techniques: A bench- marking tool for underwater robotics,

Reference 31

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raw_fallback, observed 2026-08-06T12:25:49.394104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 5ac8fa43-500f-4da6-be57-8c002b54113a · outbound

This paper cites Benchmarks for aerial manipulation,.

MoDeSuite: Robot Learning Task Suite for Benchmarking Mobile Manipulation with Deformable Objects Benchmarks for aerial manipulation,

Reference 32

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raw_fallback, observed 2026-08-06T12:25:49.384158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T12:25:48.807008Z digest=sha256:fe61eebb41b693d40ae9b8786b7bc8e09ef0d2d664e5fbabc420a8c6502fe91b

Observation a8039467-aa88-436c-9c60-798ffb17bb26 · outbound

This paper cites Aerial gym simulator: A framework for highly parallelized simulation of aerial robots,.

MoDeSuite: Robot Learning Task Suite for Benchmarking Mobile Manipulation with Deformable Objects Aerial gym simulator: A framework for highly parallelized simulation of aerial robots,

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-06T12:25:49.375590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T12:25:48.809776Z digest=sha256:832b05a6d4dd660b926cbfbbc6f571fbe17e16ba05d66754dcf888b7620fb43f

Observation 2cb2cf87-4953-4a67-8624-865fb0bbcb47 · outbound

This paper cites Omnidrones: An efficient and flexible platform for reinforcement learning in drone control,.

MoDeSuite: Robot Learning Task Suite for Benchmarking Mobile Manipulation with Deformable Objects Omnidrones: An efficient and flexible platform for reinforcement learning in drone control,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:25:49.366639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T12:25:48.812505Z digest=sha256:bcee018e7921af16588b7534754e78c052aff2a69c1b9b47683da1aa01983ecc

Observation 45b40e46-558d-4e66-b4fb-d136450c3f60 · outbound

This paper cites Assistive gym: A physics simulation framework for assistive robotics,.

MoDeSuite: Robot Learning Task Suite for Benchmarking Mobile Manipulation with Deformable Objects Assistive gym: A physics simulation framework for assistive robotics,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:25:49.355927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T12:25:48.815623Z digest=sha256:ee3b4b49bcd3a045f65c581c14ece5a7cb6f6086dabe45319478acbaad9fb044

Observation 92b15138-2f95-43f2-87f7-e45c808b519b · outbound

This paper cites Rlroverlab: An advanced reinforce- ment learning suite for planetary rover simulation and training,.

MoDeSuite: Robot Learning Task Suite for Benchmarking Mobile Manipulation with Deformable Objects Rlroverlab: An advanced reinforce- ment learning suite for planetary rover simulation and training,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:25:49.347158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T12:25:48.818459Z digest=sha256:24ac9aa252029e469d75c228a28f45c9a8d519c1a2373353deff37efd63d4b08

Observation a0b27531-8555-4544-bfcf-401199b3d8ef · outbound

This paper cites BEHAVIOR Robot Suite: Streamlining Real-World Whole-Body Manipulation for Everyday Household Activities.

MoDeSuite: Robot Learning Task Suite for Benchmarking Mobile Manipulation with Deformable Objects BEHAVIOR Robot Suite: Streamlining Real-World Whole-Body Manipulation for Everyday Household Activities

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T12:25:48.821372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:25:48.821372Z digest=sha256:4333fc5b59abcfb791e92c33710a18ee06012021c9cff05562917fa632741f5f

Observation 3bcef111-933c-45fc-90d3-7132618c00f4 · outbound

This paper cites Empowering Embodied Manipulation: A Bimanual-Mobile Robot Manipulation Dataset for Household Tasks.

MoDeSuite: Robot Learning Task Suite for Benchmarking Mobile Manipulation with Deformable Objects Empowering Embodied Manipulation: A Bimanual-Mobile Robot Manipulation Dataset for Household Tasks

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T12:25:48.824953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:25:48.824953Z digest=sha256:4d4c2dc6943f70f3ae8243ed9ea5f0763586191ee65c7abf61c2409ad5653d35

Observation 501a7cff-156e-41fe-a2df-e069b3a40bba · outbound

This paper cites Habitat 2.0: Training home assistants to rearrange their habitat,.

MoDeSuite: Robot Learning Task Suite for Benchmarking Mobile Manipulation with Deformable Objects Habitat 2.0: Training home assistants to rearrange their habitat,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:25:49.337834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T12:25:48.828079Z digest=sha256:b3dba97daaca0957b500710f06c3eabf736ac4dca18770abdd47b30c3de70d0f

Observation 35b47c4e-dd73-4d65-8e4a-445388c76ed5 · outbound

This paper cites Benchmarking and simulating bimanual robot shoe lacing,.

MoDeSuite: Robot Learning Task Suite for Benchmarking Mobile Manipulation with Deformable Objects Benchmarking and simulating bimanual robot shoe lacing,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:25:49.328333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T12:25:48.830909Z digest=sha256:77b83055ce2193fb6b15c0a5d94970f3ff27380dcb12594d738f33af71f55966

Observation 5ff5b707-6846-47e2-aa0f-c599b48b1ade · outbound

This paper cites Orbit-surgical: An open-simulation framework for learning surgical augmented dexterity,.

MoDeSuite: Robot Learning Task Suite for Benchmarking Mobile Manipulation with Deformable Objects Orbit-surgical: An open-simulation framework for learning surgical augmented dexterity,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:25:49.318579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T12:25:48.833699Z digest=sha256:b36723899ad9115e54faf9389b36870c44f29a2bade7ff267a0826f130dd95f1

Observation 88a7ad8f-bb23-4db1-880f-2e4f8e628114 · outbound

This paper cites Modeling, learning, perception, and control methods for deformable object manipulation,.

MoDeSuite: Robot Learning Task Suite for Benchmarking Mobile Manipulation with Deformable Objects Modeling, learning, perception, and control methods for deformable object manipulation,

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T12:25:48.836529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:25:48.836529Z digest=sha256:b2783d54608a07f98a545a76a8bbbb807919709de805694bc3f2a0191df283ed

Observation 7f54ff2c-afd0-4394-9aff-6d78095c4391 · outbound

This paper cites Available: \url{https://www.franka.de/}.

MoDeSuite: Robot Learning Task Suite for Benchmarking Mobile Manipulation with Deformable Objects Available: \url{https://www.franka.de/}

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:25:49.303397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T12:25:48.839628Z digest=sha256:6692bfd1a7299fd66d4b3680765f0db83dc753a03cb05871eed4c50241b6ff55

Observation 71e92d5f-544d-4609-aa8f-e8093b46aecd · outbound

This paper cites Ridgeback,.

MoDeSuite: Robot Learning Task Suite for Benchmarking Mobile Manipulation with Deformable Objects Ridgeback,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:25:49.294441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T12:25:48.842516Z digest=sha256:5eeed8da3b43a8d4b2fe049cc67d7e5e24f5e0c3c9a38296a67447b5d2faccc5

Observation aeaa1851-6478-4038-a069-0b42866dfd99 · outbound

This paper cites an unresolved cited work.

MoDeSuite: Robot Learning Task Suite for Benchmarking Mobile Manipulation with Deformable Objects Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-06T12:25:49.285440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T12:25:48.845236Z digest=sha256:62a04e38acb485a61e57c07935242a8a2bed931c9d3008ef9526f434ccecb8b9

Observation f7d1afd1-696c-48e2-a2e4-152d2881da98 · outbound

This paper cites Spot arm,.

MoDeSuite: Robot Learning Task Suite for Benchmarking Mobile Manipulation with Deformable Objects Spot arm,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:25:49.277039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T12:25:48.848024Z digest=sha256:56e191f7e10ec56ea1618dc5aa4bc0e454656a2506abe8225b033b70bfc5bc8b

Observation 809718db-9f13-4029-a5a2-063c70035656 · outbound

This paper cites Dinov2: Learning robust visual features without supervision,.

MoDeSuite: Robot Learning Task Suite for Benchmarking Mobile Manipulation with Deformable Objects Dinov2: Learning robust visual features without supervision,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:25:49.268432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T12:25:48.850803Z digest=sha256:7942579cb2fdd5342b71bf989caaa733afdb5375f9fed5dd76d118db6c4b0dc5

Observation 884985ce-66c4-4954-9524-0b8e14ea94c6 · outbound

This paper cites Proximal Policy Optimization Algorithms.

MoDeSuite: Robot Learning Task Suite for Benchmarking Mobile Manipulation with Deformable Objects Proximal Policy Optimization Algorithms

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-06T12:25:48.853534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:25:48.853534Z digest=sha256:20eb67297d040fa7012a755c8c01189c44155802e40a45facd16874db8461d5a

Observation 353f5567-7efe-452b-bb60-d590d5a8b030 · outbound

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

MoDeSuite: Robot Learning Task Suite for Benchmarking Mobile Manipulation with Deformable Objects Soft actor-critic: Off- policy maximum entropy deep reinforcement learning with a stochastic actor,

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-06T12:25:48.856598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:25:48.856598Z digest=sha256:8752c9e8571607ab01dd71f481e255ea9bf12456cf858b73f8aa1cad690ab814

Observation 02df2a98-0354-41bd-8435-bf8b734519f0 · outbound

This paper cites rl-games: A high-performance framework for reinforcement learning,.

MoDeSuite: Robot Learning Task Suite for Benchmarking Mobile Manipulation with Deformable Objects rl-games: A high-performance framework for reinforcement learning,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:25:49.254546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T12:25:48.859464Z digest=sha256:f1e90a276f58fcca0081b68969257713b5c5dee0f71fe3aeacae4db9163bd63f

Observation 980ca689-9a17-4392-aabc-6b939687219c · outbound

This paper cites A framework for behavioural cloning.

MoDeSuite: Robot Learning Task Suite for Benchmarking Mobile Manipulation with Deformable Objects A framework for behavioural cloning

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:25:49.245020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T12:25:48.862295Z digest=sha256:edb597ec35376f8d90417e61e946118fb27c71aaea688f4458889ff4a147c5b3

Observation 477d96ea-1c0c-480e-87b6-7bf0e17dd03b · outbound

This paper cites Available: https://arxiv.org/abs/2408.15919.

MoDeSuite: Robot Learning Task Suite for Benchmarking Mobile Manipulation with Deformable Objects Available: https://arxiv.org/abs/2408.15919

Reference 2024

Resolution
verified exact
raw_fallback, observed 2026-08-06T12:25:48.986232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T12:25:48.801335Z digest=sha256:adf391c2c9d4e3b16779c394581049e7e278a2922afb8be68a41f4b88a41e280

Pith citing papers

No inbound Pith citation observations are available.