Pith. sign in

Paper Citation Record · LEDGER

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

As of 8 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 2026-08-08T06:32:00.761636+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

  • verified exact3
  • verified fuzzy38
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:25:49.591924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T12:25:48.709982Z digest=sha256:4c5deb9c34b640c473b37925e22ef651b58c4589900c177575e214bf5398e7a5

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

Resolution
unresolved
no resolver link, observed 2026-08-06T12:25:48.713450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:25:48.713450Z digest=sha256:d67546153a660609333b6a655fdd8bfa4e9026ea276ac737978fc72a0411e5f7

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:25:49.583403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T12:25:48.717491Z digest=sha256:3467f8f39de52211227864bdb4999f96354d947cadaaaaa94606f61d0b8a16dc

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:25:49.574836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T12:25:48.720786Z digest=sha256:f23300407aa713ff915106d947088bb6c3323291cdb17a54211d2564fa4c1860

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:25:49.566164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T12:25:48.723786Z digest=sha256:f80308368383719d3c32970d47de6a7115f5575c37a28f243017174c14f06422

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:25:49.557798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T12:25:48.726850Z digest=sha256:8633fba60771264a60c167e8bec0df734d5345b3bb56ea5e2e2dfad2d54947ae

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

Resolution
verified exact
raw_fallback, observed 2026-08-06T12:25:49.226746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T12:25:48.729808Z digest=sha256:6ef80c5afccda184349ab466f3e8c3c30c8cd6160e2e1f6a5c958a809470f392

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

Resolution
unresolved
no resolver link, observed 2026-08-06T12:25:48.732863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:25:48.732863Z digest=sha256:cf37869c2814c8552b4f40aee89fc43de9d2052549d0a1ec73cc40c3381e7c6d

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:25:49.549359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T12:25:48.736208Z digest=sha256:602d66bc54aeec85b7c158157eb7b6450d81602ff3ca5f0367a9acf0da4931cd

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:25:49.540646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T12:25:48.739059Z digest=sha256:01177dcf5311645d133a27d643827a20b4e813b2d13dcd1086aea6eea2cc37d2

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:25:49.532151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T12:25:48.741922Z digest=sha256:064237c2f46d38a0e38327c0adfd6568ec5af38dfa477e62da6e2305466306ff

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:25:48.744855Z digest=sha256:d296ed14647bb2d7c3785a0e63016eeb8434a9511ab5922918c174b5ab91e1f0

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:25:49.523464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T12:25:48.748036Z digest=sha256:030543b88f15abe92bd7f158def0312d2e3825161ae31a3a516dbb19f3799057

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:25:49.514810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T12:25:48.750978Z digest=sha256:443b8a1af45c6fad6b74cfe2e71253111c5acd5d03fdc02846f4dfef6d45c42c

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:25:49.506394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T12:25:48.753781Z digest=sha256:98fe2f14d810211ff370ebc9487a9b12cf83260617fc81c1b0013d255cee40bf

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

Resolution
unresolved
no resolver link, observed 2026-08-06T12:25:48.756635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:25:48.756635Z digest=sha256:feb34b0a71e8d9cf86cd2db93ef96f785410b86fa02b32b34de2393188645c9a

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:25:49.497860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T12:25:48.759934Z digest=sha256:772ccf65114d5e2dfc70b2d99b281fae945abfac6ea10295f143ea0ea5b20b12

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:25:49.489523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T12:25:48.762692Z digest=sha256:d5fe735e30e4229215c27f9761246638ccddc9d8d5c7e4cb33ad873240a06330

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:25:49.480700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T12:25:48.765406Z digest=sha256:a9b1f6b1dc5f9082465fcbbda407234300af24c21078bdecc39069927e860352

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:25:49.472038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T12:25:48.768529Z digest=sha256:9ed319adda95d5ba7e4896cab86caf2f24423779b4cb6d80dc20dc16ce888d40

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

Resolution
unresolved
no resolver link, observed 2026-08-06T12:25:48.771452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:25:48.771452Z digest=sha256:f5e7d7c06a9c6bbe6f279d68cb3d60f13373cde17c9e2dd8ea00d8feb6f01029

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:25:49.463782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T12:25:48.775105Z digest=sha256:14cc4cf5504997bab65e3ceacb82ea3929311ab00c5771b5d4236e85f21dbeb9

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:25:49.455361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T12:25:48.777985Z digest=sha256:0ebd42411a2c6ab961129e9a87955a52d84be8a8cbf393297bce7954a8df5b4b

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

Resolution
verified exact
raw_fallback, observed 2026-08-06T12:25:49.072503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T12:25:48.780877Z digest=sha256:b7ce95fa044b4954d2d59ce73a2255badb266939a880480204cb5134c18704b9

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:25:49.446690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T12:25:48.783627Z digest=sha256:beb8da88fdd076a317c240505d4446c77937f8946a575b4c3ed75236e1fc7652

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:25:49.437985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T12:25:48.786725Z digest=sha256:3f4d63d41f245389ea1d854afaf2669aa18f664d44f854effa99ba1499a7a9be

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:25:49.429312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T12:25:48.789851Z digest=sha256:4e184965e020d7368739dbf3ce3a03ebc893b8626d361643c9ab2c2c9a20e48a

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

Resolution
verified fuzzy
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T12:25:48.792902Z digest=sha256:d54b4002e095dc588d4f6507604d6ec9266571dca74f0d0a128024c68540abfd

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

Resolution
verified fuzzy
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T12:25:48.795742Z digest=sha256:f417c1079a46722d1d8fdecd78fe30a4e9db9557240732a193c904daae1141ab

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

Resolution
verified fuzzy
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T12:25:48.798467Z digest=sha256:eb38af5759e802660bc627b69c1028f8c8c4160549da4cc3e4303e927aeb94a1

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

Resolution
verified fuzzy
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T12:25:48.804115Z digest=sha256:bd88f86d6cea14d7f5e559dc1efe77fc3eed45f19bc716fac691403a76350490

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

Resolution
verified fuzzy
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T12:25:48.807008Z digest=sha256:aa2d651312ea7a560852f75595104b8db688e55bdcc1f6bef8ad2efb8247e59c

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T12:25:48.809776Z digest=sha256:7864a440607ab06203b8e4c4921c73c1e3322ae6e004e4fad92cfb52aae3cc01

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T12:25:48.812505Z digest=sha256:f6b22d25cfbe442908cb4d20533ff59ee85315d8548f820ac923f05728cbb9a4

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T12:25:48.815623Z digest=sha256:a0b81f5c54bcb7114d7871a56a784536a42122a6a484b8d61a9b3d506b4dcd87

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T12:25:48.818459Z digest=sha256:f6885c42c14787d4bc08e45710456bbfd06596de388a16eae08c928e6038b57b

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=sha256:7d4c1a1e5a490c295db0c34263ead20250c5ef9f293c459ebc52a06b9d5a9370

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:b4538583bb4429336888763e83775e1031c7d43d044eb0660b1382161d6db550

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T12:25:48.828079Z digest=sha256:536d3e9f1d4d28ca2ddc680e7dfa5c3f4fae3af424c8855c2296d7e580f22a6c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T12:25:48.830909Z digest=sha256:3d4b1ee8949736a33bc8411c176dbb56831a004e63374cf20c862aa2034c7bb5

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T12:25:48.833699Z digest=sha256:6e3dcf36cbbdc6fd7a5f927cab031a46ce346ec0722eb1825c16cd7ae4fad93c

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=sha256:8e159d9a55ee589440089b6e0f428ad416d9678819afe5fb5d15ee5075ca8260

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T12:25:48.839628Z digest=sha256:e8ec413c7a494ed5f86bc076e889fc3fad810280592cebd3bf7f2bb6a4fbb9c3

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T12:25:48.842516Z digest=sha256:b5ac6abe00f0af58189fe3e9addde51cbadf8aa0fa8517d717b734def71ee3ad

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T12:25:48.845236Z digest=sha256:f6b0388ab5617161ba19dcb1f8a01bfa5e69822df212fe9821cf4ac40f30d338

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T12:25:48.848024Z digest=sha256:2730a0ae9b64524f879cd481e2b8e7af252375405d4f19799151709dbc9b3f1c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T12:25:48.850803Z digest=sha256:a2a681ba11e62190ce63577759455c6c147d73e78c31d20059d849ba406a76b7

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=sha256:906886955c2086b7f41f9dba9d3f069d9bc0ca55354550e659256dc8fa162665

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=sha256:9213923ceed02ed840179e85d911e8170490f326277dbbe5698c47ecff8d9103

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T12:25:48.859464Z digest=sha256:c77f241ef5485fc3c92461e29aa05f8fdd0c9308e9a86b7d2c641184a3c0d5c0

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T12:25:48.862295Z digest=sha256:dc688c35812371cd68a77701935403795bf18f4b55966c3fd50480b7543d0b78

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T12:25:48.801335Z digest=sha256:7ef597c367f8b16f3c925618c70e2150f0c66195f865be81ebca09b92984942e

Pith citing papers

No inbound Pith citation observations are available.