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Paper Citation Record · LEDGER

GBPP: Grasp-Aware Base Placement Prediction for Robots via Two-Stage Learning

As of 22 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2509.11594.

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

pith.paper-citation-record.v1
2509.11594 v3

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T16:50:22.299097Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

19 of 19 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation da117fb0-193f-4ef4-a30a-2c07f20d84d9 · outbound

This paper cites OK-Robot: What Really Matters in Integrating Open-Knowledge Models for Robotics.

GBPP: Grasp-Aware Base Placement Prediction for Robots via Two-Stage Learning OK-Robot: What Really Matters in Integrating Open-Knowledge Models for Robotics

Reference 1

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source=pdf_text observed=2026-08-04T16:50:21.204425Z digest=sha256:02ae1553e05012fcc06727cc3f28778cf0cfa3bba59eeb7ddf555b6971c2cdca

Observation 93bad157-a46f-411d-af9c-13f2513b9d8a · outbound

This paper cites Goat: Go to any thing — a universal navigation agent for open-vocabulary, multimodal goals,.

GBPP: Grasp-Aware Base Placement Prediction for Robots via Two-Stage Learning Goat: Go to any thing — a universal navigation agent for open-vocabulary, multimodal goals,

Reference 2

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source=pdf_text observed=2026-08-04T16:50:21.236696Z digest=sha256:93c66bec3e513a0564c1c5e09f38f8438e6f7aeacfa5a16b6054016d86e3e83f

Observation 9c79020c-de68-4c5c-bb85-dd26636123c6 · outbound

This paper cites A Survey of Robotic Language Grounding: Tradeoffs between Symbols and Embeddings.

GBPP: Grasp-Aware Base Placement Prediction for Robots via Two-Stage Learning A Survey of Robotic Language Grounding: Tradeoffs between Symbols and Embeddings

Reference 3

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source=pdf_text observed=2026-08-04T16:50:21.298801Z digest=sha256:4aec313e6186cbf2c3e39d5467df2561c5bfd1a7d89ee61632810b87d7e0e427

Observation 5eb8c7ce-22ac-4ad3-934d-9463dd4768ef · outbound

This paper cites Planning Robot Placement for Object Grasping.

GBPP: Grasp-Aware Base Placement Prediction for Robots via Two-Stage Learning Planning Robot Placement for Object Grasping

Reference 4

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source=pdf_text observed=2026-08-04T16:50:21.349840Z digest=sha256:59bf89c77aa9d0cc28820e3129b5f8683e80001be02d0fc6db93f61b8c27e3e2

Observation 688028df-8dd1-49dc-b1ec-4bf9dcc4cd46 · outbound

This paper cites Integrated task and motion planning,.

GBPP: Grasp-Aware Base Placement Prediction for Robots via Two-Stage Learning Integrated task and motion planning,

Reference 5

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source=pdf_text observed=2026-08-04T16:50:21.407622Z digest=sha256:f06fe054e28c246961b0a63b3a71c1864e5430d245f172ac3ef21021a6268af4

Observation 4500b3d8-4455-4989-973f-c166ff5c5a3d · outbound

This paper cites Task and motion planning using mixed integer linear programming for solving fetch-and-carry tasks by a mobile manipulator,.

GBPP: Grasp-Aware Base Placement Prediction for Robots via Two-Stage Learning Task and motion planning using mixed integer linear programming for solving fetch-and-carry tasks by a mobile manipulator,

Reference 6

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source=pdf_text observed=2026-08-04T16:50:21.452274Z digest=sha256:0d72b656d611e204893dec609097e2e97dbacd787683af4c7bb5b9c2cbbc9e0e

Observation 294ef3f2-b38b-4483-8fb9-12ba53228d77 · outbound

This paper cites Object-centric task and motion planning in dynamic environments,.

GBPP: Grasp-Aware Base Placement Prediction for Robots via Two-Stage Learning Object-centric task and motion planning in dynamic environments,

Reference 7

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source=pdf_text observed=2026-08-04T16:50:21.512778Z digest=sha256:45589254b93abcf7fdc595c8225b192bbf3e43628df6486ac911d84baf2b82fe

Observation 1c4bb214-269a-4df4-9cc8-2aa6a017cd62 · outbound

This paper cites Reuleaux: Robot Base Placement by Reachability Analysis.

GBPP: Grasp-Aware Base Placement Prediction for Robots via Two-Stage Learning Reuleaux: Robot Base Placement by Reachability Analysis

Reference 8

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source=pdf_text observed=2026-08-04T16:50:21.538121Z digest=sha256:ccc0e11af446c3805933d8098be3e4406fcef2fd1ad59797903f2f0d647a581a

Observation ce85a925-9ef0-4635-9642-2192786e5e60 · outbound

This paper cites A task and motion planning framework for partially observable household manipulation scenes,.

GBPP: Grasp-Aware Base Placement Prediction for Robots via Two-Stage Learning A task and motion planning framework for partially observable household manipulation scenes,

Reference 9

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source=pdf_text observed=2026-08-04T16:50:21.583697Z digest=sha256:7bcb23c12927c99985700fc192e9cccd7e603240b2b0a650dca3fd29fcdf58a8

Observation eddfc2d9-9031-42fe-ad79-a1b77458c073 · outbound

This paper cites Receding horizon “next-best-view.

GBPP: Grasp-Aware Base Placement Prediction for Robots via Two-Stage Learning Receding horizon “next-best-view

Reference 10

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source=pdf_text observed=2026-08-04T16:50:21.640959Z digest=sha256:aa62cf46aa1f70c213d160a35b511f340f93fb60e9f4862f580633e20d8bf917

Observation 458c2a01-434d-4b27-b801-68ce1bc1d47b · outbound

This paper cites Pointnet++ grasping: Learning an end-to-end spatial grasp generation algorithm from sparse point clouds,.

GBPP: Grasp-Aware Base Placement Prediction for Robots via Two-Stage Learning Pointnet++ grasping: Learning an end-to-end spatial grasp generation algorithm from sparse point clouds,

Reference 11

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source=pdf_text observed=2026-08-04T16:50:21.722580Z digest=sha256:567e441ea390a8a7e263aaf1a350ebf36c5b14d41ff3a5bd2aee4542dbd37967

Observation b098273c-4b09-41d6-8d2a-ce6e64587883 · outbound

This paper cites Physics-based self-supervised grasp pose detection,.

GBPP: Grasp-Aware Base Placement Prediction for Robots via Two-Stage Learning Physics-based self-supervised grasp pose detection,

Reference 12

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source=pdf_text observed=2026-08-04T16:50:21.776978Z digest=sha256:96223bea355235f8664e28b1c0a794ab55775d57e657813274c4ceb509203d73

Observation c05834c7-9044-4a4c-b62a-6b743b713e2f · outbound

This paper cites PointNet++: Deep hierarchical feature learning on point sets in a metric space,.

GBPP: Grasp-Aware Base Placement Prediction for Robots via Two-Stage Learning PointNet++: Deep hierarchical feature learning on point sets in a metric space,

Reference 13

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source=pdf_text observed=2026-08-04T16:50:21.855583Z digest=sha256:d7a691a814fbab3fad9e8fecc6e1e16ffda74c4899dd8f4f931124e40cd09b57

Observation ad2f6ff7-bf98-43cc-a511-2487d25310e2 · outbound

This paper cites Point transformer,.

GBPP: Grasp-Aware Base Placement Prediction for Robots via Two-Stage Learning Point transformer,

Reference 14

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source=pdf_text observed=2026-08-04T16:50:21.912264Z digest=sha256:ebb3aa2624697a017a65182d47a8b5390982de7f7deab03d13a7ebf179c8b8b8

Observation 1f31b9ae-4dfa-4989-8be3-8cda2473cae2 · outbound

This paper cites ProcTHOR: Large-Scale Embodied AI Using Procedural Generation.

GBPP: Grasp-Aware Base Placement Prediction for Robots via Two-Stage Learning ProcTHOR: Large-Scale Embodied AI Using Procedural Generation

Reference 15

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source=pdf_text observed=2026-08-04T16:50:21.981970Z digest=sha256:ae631e1816bc0fbf11328c7dc0d801f7c81ea47b307557b5104a02a6cf757c67

Observation 939470e1-3dee-4f0a-8087-827dd7c5589b · outbound

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

GBPP: Grasp-Aware Base Placement Prediction for Robots via Two-Stage Learning The YCB object and model set: Towards common benchmarks for manipulation research,

Reference 16

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source=pdf_text observed=2026-08-04T16:50:22.055935Z digest=sha256:5964c3605e107a3cba9347e2915c2d4536834f776c847e7fa674f9807ab90463

Observation 0bc72bdf-dbeb-4b7f-a8d0-e209b91c789b · outbound

This paper cites Maniskill: Generalizable manipulation skill benchmark with large-scale demonstrations,.

GBPP: Grasp-Aware Base Placement Prediction for Robots via Two-Stage Learning Maniskill: Generalizable manipulation skill benchmark with large-scale demonstrations,

Reference 17

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Observation 2b9810a1-93dd-4a05-9bb7-d9c532c310de · outbound

This paper cites Detecting twenty-thousand classes using image-level supervision,.

GBPP: Grasp-Aware Base Placement Prediction for Robots via Two-Stage Learning Detecting twenty-thousand classes using image-level supervision,

Reference 18

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source=pdf_text observed=2026-08-04T16:50:22.200140Z digest=sha256:c5089530748d3411402fa26f2143e872950aa0ce92f61d276c9c735c0b48be19

Observation 80dbb77c-0a2c-45c7-a291-e6e67de11a48 · outbound

This paper cites Stretch ai — an open-source toolkit for embodied intelligence on the stretch 3 mobile manipulator,.

GBPP: Grasp-Aware Base Placement Prediction for Robots via Two-Stage Learning Stretch ai — an open-source toolkit for embodied intelligence on the stretch 3 mobile manipulator,

Reference 19

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source=pdf_text observed=2026-08-04T16:50:22.299097Z digest=sha256:5b80f0c871fb85a83a12b22c979fa5a615d0777942a51c4198c0540482ac0356

Pith citing papers

No inbound Pith citation observations are available.