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Paper Citation Record · LEDGER

Bench-Push: Benchmarking Pushing-based Navigation and Manipulation Tasks for Mobile Robots

As of 21 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2512.11736.

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

pith.paper-citation-record.v1
2512.11736 v2

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T16:50:39.747344Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

28 of 28 outbound references displayed

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Outbound references

Observation 4b70e8ee-cdfb-4d57-8a43-9a7facd74810 · outbound

This paper cites Navigation among movable obstacles: Real-time reasoning in complex environments,.

Bench-Push: Benchmarking Pushing-based Navigation and Manipulation Tasks for Mobile Robots Navigation among movable obstacles: Real-time reasoning in complex environments,

Reference 1

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source=pdf_text observed=2026-08-03T16:50:37.058006Z digest=sha256:59eefd3cb38ccfe83790231a882d3fa9ceb0098ed3d2a8bb4eb2a8cf8d182200

Observation 56d4a846-9abf-4b10-98bb-34eefd1a349f · outbound

This paper cites Probabilistic mobile manipulation in dynamic environments, with application to opening doors.

Bench-Push: Benchmarking Pushing-based Navigation and Manipulation Tasks for Mobile Robots Probabilistic mobile manipulation in dynamic environments, with application to opening doors

Reference 2

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source=pdf_text observed=2026-08-03T16:50:37.178995Z digest=sha256:44e256cea9c894e1618f25c7cf228519529f53ef73c93f9709d914532792afa1

Observation cbc2c2e5-2a40-41c3-8305-556834a66d99 · outbound

This paper cites Planning and executing navigation among movable obstacles,.

Bench-Push: Benchmarking Pushing-based Navigation and Manipulation Tasks for Mobile Robots Planning and executing navigation among movable obstacles,

Reference 3

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source=pdf_text observed=2026-08-03T16:50:37.308010Z digest=sha256:40602a2792eff821394255987e7f064998f6b160813b3932675ec5067a4b9c76

Observation f69282fc-a626-46a7-8304-05275d0ecd8a · outbound

This paper cites Local path planning among pushable objects based on reinforcement learning,.

Bench-Push: Benchmarking Pushing-based Navigation and Manipulation Tasks for Mobile Robots Local path planning among pushable objects based on reinforcement learning,

Reference 4

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source=pdf_text observed=2026-08-03T16:50:37.451980Z digest=sha256:eb280313d582bc22bc5b72896906838bfd117054f921825298847e79dce589f9

Observation 0fe309a7-ca23-4714-925c-c50cc1cb8968 · outbound

This paper cites Spatial Action Maps for Mobile Manipulation.

Bench-Push: Benchmarking Pushing-based Navigation and Manipulation Tasks for Mobile Robots Spatial Action Maps for Mobile Manipulation

Reference 5

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source=pdf_text observed=2026-08-03T16:50:37.548828Z digest=sha256:06648b5b48a031d27bf95757fa63d2d05b75c30cdca534bc466d9485aa581a72

Observation e40b6a6a-f74e-4085-9031-bc399fd34fc7 · outbound

This paper cites Pushing Through Clutter With Movability Awareness of Blocking Obstacles.

Bench-Push: Benchmarking Pushing-based Navigation and Manipulation Tasks for Mobile Robots Pushing Through Clutter With Movability Awareness of Blocking Obstacles

Reference 6

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source=pdf_text observed=2026-08-03T16:50:37.610702Z digest=sha256:66506805192172b9cbf89e46f0cfc8f36cd8184ce792eae288cb3075553bd931

Observation dea8ec6b-bdd5-47b2-9cd8-32fc9610be60 · outbound

This paper cites The ycb object and model set: Towards common benchmarks for manipulation research,.

Bench-Push: Benchmarking Pushing-based Navigation and Manipulation Tasks for Mobile Robots The ycb object and model set: Towards common benchmarks for manipulation research,

Reference 7

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source=pdf_text observed=2026-08-03T16:50:37.681140Z digest=sha256:5137a35361ff463e0e198fb02675757ada2c0e53e6b8575f33d7ad3367621f97

Observation bcd223bd-5b1a-4ca0-b421-c857174bdddd · outbound

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

Bench-Push: Benchmarking Pushing-based Navigation and Manipulation Tasks for Mobile Robots robosuite: A Modular Simulation Framework and Benchmark for Robot Learning

Reference 8

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source=pdf_text observed=2026-08-03T16:50:37.735752Z digest=sha256:3060426c400dcf2eeebc375eb710f7cc8d935fa36b7b21188787e8941eed8bb7

Observation 6d87c01a-951a-4bdb-ad60-90ba01312da0 · outbound

This paper cites Interactive gibson benchmark: A benchmark for interactive navigation in cluttered environments,.

Bench-Push: Benchmarking Pushing-based Navigation and Manipulation Tasks for Mobile Robots Interactive gibson benchmark: A benchmark for interactive navigation in cluttered environments,

Reference 9

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source=pdf_text observed=2026-08-03T16:50:37.804716Z digest=sha256:06ec65d31c73f52fa0d06b538b98b9ddd8adb7053b16222cd7237cc8d914690e

Observation 9229918c-852d-4e20-b747-ce4a5b9b034b · outbound

This paper cites Mujoco: A physics engine for model-based control,.

Bench-Push: Benchmarking Pushing-based Navigation and Manipulation Tasks for Mobile Robots Mujoco: A physics engine for model-based control,

Reference 10

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source=pdf_text observed=2026-08-03T16:50:37.894460Z digest=sha256:593497cb2191cdfa45e8254702b72497b8624f6a4520e926332f653214af9cc3

Observation 0ecea590-4adf-4f31-8f8e-9f7365db3015 · outbound

This paper cites Pymunk: A easy-to-use pythonic rigid body 2d physics library. (version 6.7.0),.

Bench-Push: Benchmarking Pushing-based Navigation and Manipulation Tasks for Mobile Robots Pymunk: A easy-to-use pythonic rigid body 2d physics library. (version 6.7.0),

Reference 11

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source=pdf_text observed=2026-08-03T16:50:37.991192Z digest=sha256:24d2a32a30d498c741bc4a6d06415977c7b49207356eecaf9908942e13ced60a

Observation c651f82d-d6df-45e0-8bc4-2d6c98d31d7a · outbound

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

Bench-Push: Benchmarking Pushing-based Navigation and Manipulation Tasks for Mobile Robots Soft actor-critic: Off- policy maximum entropy deep reinforcement learning with a stochastic actor,

Reference 12

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source=pdf_text observed=2026-08-03T16:50:38.048826Z digest=sha256:075712f8e9ef8a9c1760e3d71b46702e4b26f96c8a0e1db3f6d069ba7b61741f

Observation 3202b538-01e7-4d4e-9d4e-e75cebbbe5bc · outbound

This paper cites Proximal Policy Optimization Algorithms.

Bench-Push: Benchmarking Pushing-based Navigation and Manipulation Tasks for Mobile Robots Proximal Policy Optimization Algorithms

Reference 13

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source=pdf_text observed=2026-08-03T16:50:38.116413Z digest=sha256:ce3dd4e87cd0e32c07f65ac9bb7a49a47d8eefc9074eda7fdce6e0099cb72d22

Observation bcf218ea-d2d3-4e18-9d0f-2ac646cd5453 · outbound

This paper cites Auto-icenav: A local navigation strategy for autonomous surface ships in broken ice fields,.

Bench-Push: Benchmarking Pushing-based Navigation and Manipulation Tasks for Mobile Robots Auto-icenav: A local navigation strategy for autonomous surface ships in broken ice fields,

Reference 14

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source=pdf_text observed=2026-08-03T16:50:38.222318Z digest=sha256:e642de0883efde9948b7e966087936ee26227f71b0477bbca5bced0a7b9e7ff9

Observation a08dd4d2-5cac-4b28-a95a-0e3acd1aea7d · outbound

This paper cites Autonomous navigation in ice-covered waters with learned predictions on ship-ice interactions,.

Bench-Push: Benchmarking Pushing-based Navigation and Manipulation Tasks for Mobile Robots Autonomous navigation in ice-covered waters with learned predictions on ship-ice interactions,

Reference 15

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source=pdf_text observed=2026-08-03T16:50:38.370981Z digest=sha256:c821d88179dff74e80f27ff9d757b0141b2d09573cf421adb0c5c77366c25373

Observation e01f8e70-176a-490f-aed0-946ee5765264 · outbound

This paper cites Interactive-far: Interactive, fast and adaptable routing for navigation among movable obstacles in complex unknown environments,.

Bench-Push: Benchmarking Pushing-based Navigation and Manipulation Tasks for Mobile Robots Interactive-far: Interactive, fast and adaptable routing for navigation among movable obstacles in complex unknown environments,

Reference 16

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source=pdf_text observed=2026-08-03T16:50:38.533990Z digest=sha256:01c161564a30d894276bd15aad466d6ad8da9b25a7099acffc1b3db33d53b58a

Observation 83de4991-17f8-42b4-9567-b8994c5cd5a3 · outbound

This paper cites Search-Based Path Planning in Interactive Environments among Movable Obstacles.

Bench-Push: Benchmarking Pushing-based Navigation and Manipulation Tasks for Mobile Robots Search-Based Path Planning in Interactive Environments among Movable Obstacles

Reference 17

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source=pdf_text observed=2026-08-03T16:50:38.656681Z digest=sha256:7159d14cc524634346d43ca8075985b2f83ed7d4c06cf0c86736452f32febfbd

Observation 3bfc8914-48f5-4ff7-9391-345940988769 · outbound

This paper cites Unwieldy object delivery with nonholonomic mobile base: A stable pushing approach,.

Bench-Push: Benchmarking Pushing-based Navigation and Manipulation Tasks for Mobile Robots Unwieldy object delivery with nonholonomic mobile base: A stable pushing approach,

Reference 18

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source=pdf_text observed=2026-08-03T16:50:38.733310Z digest=sha256:6c5a17256a3fec9b23bdf9c32f5ee114435aa2319c051ea30d09072da0fb8fce

Observation fe3424f7-afd0-4776-9704-0dd232dd59a8 · outbound

This paper cites Unwieldy object delivery with nonholonomic mobile base: A free pushing approach,.

Bench-Push: Benchmarking Pushing-based Navigation and Manipulation Tasks for Mobile Robots Unwieldy object delivery with nonholonomic mobile base: A free pushing approach,

Reference 19

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source=pdf_text observed=2026-08-03T16:50:38.901767Z digest=sha256:637e45c6603af6d8dd5e7f472ebef1400e38647d3e7921e658d9c948be87fa05

Observation b38fc798-9a01-498f-a9dc-bd6015fe759c · outbound

This paper cites Autonomous multiple-trolley collection system with nonholonomic robots: Design, control, and implementation,.

Bench-Push: Benchmarking Pushing-based Navigation and Manipulation Tasks for Mobile Robots Autonomous multiple-trolley collection system with nonholonomic robots: Design, control, and implementation,

Reference 20

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source=pdf_text observed=2026-08-03T16:50:39.071678Z digest=sha256:a34565a72f73461f8098758656833380e0cf377610f1406d2dd8ca7f1ec76fbc

Observation 324d749c-866d-4b56-ab2e-05ca8c336962 · outbound

This paper cites Benchmarking metric ground navigation,.

Bench-Push: Benchmarking Pushing-based Navigation and Manipulation Tasks for Mobile Robots Benchmarking metric ground navigation,

Reference 21

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source=pdf_text observed=2026-08-03T16:50:39.182484Z digest=sha256:f21fa0879754078b10211225464cc3e11e31117366556ab363c29c563ee8776f

Observation 9ee70865-f9dc-49d4-9799-c6edde3f45fc · outbound

This paper cites Benchmarking reinforcement learning techniques for autonomous navigation,.

Bench-Push: Benchmarking Pushing-based Navigation and Manipulation Tasks for Mobile Robots Benchmarking reinforcement learning techniques for autonomous navigation,

Reference 22

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source=pdf_text observed=2026-08-03T16:50:39.305888Z digest=sha256:560470f76dfcf9a5ef4535ff074fbda87fc629ebe59755b2143cbd995062867c

Observation ecfedd96-fd6f-4384-be66-0122c10df546 · outbound

This paper cites Arena-bench: A benchmarking suite for obstacle avoidance approaches in highly dynamic environments,.

Bench-Push: Benchmarking Pushing-based Navigation and Manipulation Tasks for Mobile Robots Arena-bench: A benchmarking suite for obstacle avoidance approaches in highly dynamic environments,

Reference 23

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source=pdf_text observed=2026-08-03T16:50:39.433667Z digest=sha256:b81a28345671480d7a9014248e55f1b8a4624ba6fef6a75b77f2664280f9ea2c

Observation 6fa6eba9-beb3-414e-8c84-3f9f0a826e2d · outbound

This paper cites Gymnasium: A Standard Interface for Reinforcement Learning Environments.

Bench-Push: Benchmarking Pushing-based Navigation and Manipulation Tasks for Mobile Robots Gymnasium: A Standard Interface for Reinforcement Learning Environments

Reference 24

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source=pdf_text observed=2026-08-03T16:50:39.504717Z digest=sha256:5bf5483e57e233201306486f2dae69e3234ca31831d195b284574b58baea1532

Observation 28189054-a850-4a86-ab8e-b811b30796c1 · outbound

This paper cites Randomized Kinodynamic Planning,.

Bench-Push: Benchmarking Pushing-based Navigation and Manipulation Tasks for Mobile Robots Randomized Kinodynamic Planning,

Reference 25

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source=pdf_text observed=2026-08-03T16:50:39.559456Z digest=sha256:a1ebb1ce2b5459a5a12181890bf494e486c8d95fb4c7660cc3133d89d096f44c

Observation b51dc0d6-5065-4010-a914-ad2d2c38967b · outbound

This paper cites Streamlining object pushing: Behavior tree-based coordination of control and planning,.

Bench-Push: Benchmarking Pushing-based Navigation and Manipulation Tasks for Mobile Robots Streamlining object pushing: Behavior tree-based coordination of control and planning,

Reference 26

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source=pdf_text observed=2026-08-03T16:50:39.621850Z digest=sha256:50322b2b303bb6a7b7b12d926c005796d4e1acd664a9c39a5c7fa4122534e09b

Observation 48028838-cb0b-4a14-9d05-b6d9e653b1b8 · outbound

This paper cites Stable-baselines3: Reliable reinforcement learning im- plementations,.

Bench-Push: Benchmarking Pushing-based Navigation and Manipulation Tasks for Mobile Robots Stable-baselines3: Reliable reinforcement learning im- plementations,

Reference 27

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source=pdf_text observed=2026-08-03T16:50:39.677955Z digest=sha256:46be63dbd13534057ee69bf60cd555a36f3e0ce7fed34a5fefbf1432501e4a99

Observation 9e6f21d2-c955-4e66-b58c-2c90b509871d · outbound

This paper cites Deep residual learning for image recognition,.

Bench-Push: Benchmarking Pushing-based Navigation and Manipulation Tasks for Mobile Robots Deep residual learning for image recognition,

Reference 28

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source=pdf_text observed=2026-08-03T16:50:39.747344Z digest=sha256:59f6504d357a30bcf9bb168867108b344a5009d69eb5ab08911cffbb5cf43725

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