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Paper Citation Record · LEDGER

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

As of 10 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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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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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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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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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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:25:48.804115Z digest=sha256:6d3503a349bbaca912714c092117ed43942be41afee3f416d2e04865774d94bf

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:25:48.807008Z digest=sha256:5913d3b2d234b57ebf3829c9babd56cd6fe1598d3b8f1967f15fc9e9f869e542

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:25:48.809776Z digest=sha256:f0aed0e618998e2701d3b24a331ae7bda853b103c2175f67420bd34676abacb2

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:25:48.812505Z digest=sha256:52410dbd884f18a6c9a7845cd158909c829b0036e1b0c73f2b7ce7fbb389c041

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:25:48.815623Z digest=sha256:01445dcbafa694ece15d6ebcbc0f3def98988a155d4825ac49068e19c1766b7b

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:25:48.818459Z digest=sha256:c923ecd1f44b79a8a603bc2b0ec16c7b6cec1ec0a0543b79126b135f3fde5309

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:ec5ec966068f019c682b8986305e11a14a2d59cd52e6ab6a33265e799404d2ac

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=sha256:69f6bb219cb7c0b24c540c511ca8ae6b686a4f9b8fde84bbb6ed84daeb056b22

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:25:48.828079Z digest=sha256:ae1d58bcb359ad10da566192a00d74e21f7a97a158d5c26b38b378ac56d2bafd

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:25:48.830909Z digest=sha256:9f46a6e76160bcdacffa36ad548061da10c577d5fbe0ac49e5acf20de1cee19a

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:25:48.833699Z digest=sha256:a720ab4853e0cc3f0ff1984e97c08e929794396b5b5462b995c90297f8eedb5d

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:f68aa12c0e1803d7c443b831ca496249a9e19a099f0940c595a001707475d313

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:25:48.839628Z digest=sha256:adab6d43fc299abd69a7ac67610f7fb17aa311020fc634f04cb12aeb8f70d0c3

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:25:48.842516Z digest=sha256:fbc3982a8b68e1fedf6167bbf64444d4ded367845d86a47f53de5f1105ef204a

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:25:48.845236Z digest=sha256:252d9da78381e9cdcb631c6e7d46337dd20a72fc38c7eac66293ed04f274a47c

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:25:48.848024Z digest=sha256:731df28f871ec81d478c69348a741be9c139a76ae0da171b7b47cf62d5e610dc

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:25:48.850803Z digest=sha256:6a319b2a95125d9a6b8a0bd7d9a41051f864fb05c784d6a2c6c16ec503d14cb1

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:f2f7c67d71bb8aafbc115b6f29ab162d3f47ce033a0412936b16cd8b7fcf6b94

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:b4ddfaba1c305bd8ce59b25942c42536fd7c1f5328123b2410ae7ca0f9440a6e

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:25:48.859464Z digest=sha256:7fa7d6d9bb5f627cf3321134d3d331d82a191ccfbdc729ad2f6f8bde8342333f

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:25:48.862295Z digest=sha256:b78cada0a61ab64f10387abca5ade6dd4d71ca17594edb22f4bcb651c085a3a8

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:25:48.801335Z digest=sha256:45736a0d6c9f38b718c902d23920a051a41e9305bc89024c0a11b49ed4d6fb1c

Pith citing papers

No inbound Pith citation observations are available.