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Paper Citation Record · LEDGER

PRISM: Pointcloud Reintegrated Inference via Segmentation and Cross-attention for Manipulation

As of 7 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2507.04633.

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

pith.paper-citation-record.v1
2507.04633 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:48:11.185470Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

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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.

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Reference resolution

41 of 41 outbound references displayed

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External citation measurements

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Outbound references

Observation d29c2a8a-4ce0-4cc7-814e-bc868adbc97f · outbound

This paper cites Image-based visual servoing for enhanced cooperation of dual-arm manipulation,.

PRISM: Pointcloud Reintegrated Inference via Segmentation and Cross-attention for Manipulation Image-based visual servoing for enhanced cooperation of dual-arm manipulation,

Reference 1

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Observation 79ba07b9-c5b4-4f00-afe7-84d27c3f0500 · outbound

This paper cites SpatialBot: Precise Spatial Understanding with Vision Language Models.

PRISM: Pointcloud Reintegrated Inference via Segmentation and Cross-attention for Manipulation SpatialBot: Precise Spatial Understanding with Vision Language Models

Reference 2

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Observation 04cd5921-2728-40af-a5b0-5613ed28274c · outbound

This paper cites Trends and challenges in robot manipulation,.

PRISM: Pointcloud Reintegrated Inference via Segmentation and Cross-attention for Manipulation Trends and challenges in robot manipulation,

Reference 3

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Observation 92a6d7a3-ecf1-440a-aaa9-b21939f46152 · outbound

This paper cites High-speed autonomous robotic assembly using in-hand manipulation and re-grasping,.

PRISM: Pointcloud Reintegrated Inference via Segmentation and Cross-attention for Manipulation High-speed autonomous robotic assembly using in-hand manipulation and re-grasping,

Reference 4

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Observation dc57eea8-627b-47b5-8ed2-50e4e88de945 · outbound

This paper cites Service robots in the healthcare sector,.

PRISM: Pointcloud Reintegrated Inference via Segmentation and Cross-attention for Manipulation Service robots in the healthcare sector,

Reference 5

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Observation de8ba4a0-f00c-41df-8f64-af40b6e389ee · outbound

This paper cites A review of robot learning for manipulation: Challenges, representations, and algorithms,.

PRISM: Pointcloud Reintegrated Inference via Segmentation and Cross-attention for Manipulation A review of robot learning for manipulation: Challenges, representations, and algorithms,

Reference 6

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Observation 135b8bb6-57f1-41f4-bc9b-5430a12e6433 · outbound

This paper cites A survey on learning-based robotic grasping,.

PRISM: Pointcloud Reintegrated Inference via Segmentation and Cross-attention for Manipulation A survey on learning-based robotic grasping,

Reference 7

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Observation f6a79c0f-828d-4e12-926f-ccb505936e83 · outbound

This paper cites Survey of imitation learning for robotic manipulation,.

PRISM: Pointcloud Reintegrated Inference via Segmentation and Cross-attention for Manipulation Survey of imitation learning for robotic manipulation,

Reference 8

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation c65fc803-7a9b-4fc6-ae4c-ac38f7613c92 · outbound

This paper cites A survey of imitation learning: Algorithms, recent developments, and challenges,.

PRISM: Pointcloud Reintegrated Inference via Segmentation and Cross-attention for Manipulation A survey of imitation learning: Algorithms, recent developments, and challenges,

Reference 9

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Observation e3e74d2e-e5b3-4471-b973-7cb02454302c · outbound

This paper cites A reinforcement learning-based framework for robot manipulation skill acquisition,.

PRISM: Pointcloud Reintegrated Inference via Segmentation and Cross-attention for Manipulation A reinforcement learning-based framework for robot manipulation skill acquisition,

Reference 10

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Observation 99e0f975-79b2-4425-839d-9b8a2d0d3cd8 · outbound

This paper cites Learning for a robot: Deep reinforcement learning, imitation learning, transfer learning,.

PRISM: Pointcloud Reintegrated Inference via Segmentation and Cross-attention for Manipulation Learning for a robot: Deep reinforcement learning, imitation learning, transfer learning,

Reference 11

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Observation 48a713e4-5d5c-4ac1-8365-4a506b0efb41 · outbound

This paper cites A survey on deep reinforcement learning algorithms for robotic manipulation,.

PRISM: Pointcloud Reintegrated Inference via Segmentation and Cross-attention for Manipulation A survey on deep reinforcement learning algorithms for robotic manipulation,

Reference 12

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Observation 5d219629-8346-4ebe-b5f8-eb90d630cf2e · outbound

This paper cites Is Behavior Cloning All You Need? Understanding Horizon in Imitation Learning.

PRISM: Pointcloud Reintegrated Inference via Segmentation and Cross-attention for Manipulation Is Behavior Cloning All You Need? Understanding Horizon in Imitation Learning

Reference 13

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Observation 34d85d98-eb31-4e2d-98ee-90067adcd6ec · outbound

This paper cites Behavioral Cloning from Observation.

PRISM: Pointcloud Reintegrated Inference via Segmentation and Cross-attention for Manipulation Behavioral Cloning from Observation

Reference 14

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Observation 6d9abd88-df1e-43ad-a906-36428f8e3251 · outbound

This paper cites Implicit behavioral cloning,.

PRISM: Pointcloud Reintegrated Inference via Segmentation and Cross-attention for Manipulation Implicit behavioral cloning,

Reference 15

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Observation fb30a02f-44b2-4c43-9600-d958ba2fe22f · outbound

This paper cites Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware.

PRISM: Pointcloud Reintegrated Inference via Segmentation and Cross-attention for Manipulation Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware

Reference 16

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Observation b0e41e96-2d78-4d7c-8cfe-aae30585856e · outbound

This paper cites Diffusion policy: Visuomotor policy learning via action diffusion,.

PRISM: Pointcloud Reintegrated Inference via Segmentation and Cross-attention for Manipulation Diffusion policy: Visuomotor policy learning via action diffusion,

Reference 17

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Observation 745b9e51-c0cf-4681-a775-7fdaa0aad2e7 · outbound

This paper cites Review of learning-based robotic manipulation in cluttered environments,.

PRISM: Pointcloud Reintegrated Inference via Segmentation and Cross-attention for Manipulation Review of learning-based robotic manipulation in cluttered environments,

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation d86897e1-675a-4af5-8c9b-f60b41a88b21 · outbound

This paper cites A systematic re- view of current and emergent manipulator control approaches,.

PRISM: Pointcloud Reintegrated Inference via Segmentation and Cross-attention for Manipulation A systematic re- view of current and emergent manipulator control approaches,

Reference 19

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Observation f2e3c591-d64b-4b71-b987-f50d892834ef · outbound

This paper cites Generative adversarial imitation learning,.

PRISM: Pointcloud Reintegrated Inference via Segmentation and Cross-attention for Manipulation Generative adversarial imitation learning,

Reference 20

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Observation fbb3c497-07af-424b-a293-0bfb6097c00e · outbound

This paper cites Act3d: 3d feature field transformers for multi-task robotic manipulation,.

PRISM: Pointcloud Reintegrated Inference via Segmentation and Cross-attention for Manipulation Act3d: 3d feature field transformers for multi-task robotic manipulation,

Reference 21

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Observation db613945-493b-44b1-bbe5-e3e5ddfcd964 · outbound

This paper cites 3d diffusion policy,.

PRISM: Pointcloud Reintegrated Inference via Segmentation and Cross-attention for Manipulation 3d diffusion policy,

Reference 22

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Observation d480d626-83ce-4783-b050-a250968cfd60 · outbound

This paper cites Deep learning for 3d point clouds: A survey,.

PRISM: Pointcloud Reintegrated Inference via Segmentation and Cross-attention for Manipulation Deep learning for 3d point clouds: A survey,

Reference 23

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Observation 359ab9f1-a201-4d12-a1d7-f3d1b6d68599 · outbound

This paper cites A review of deep learning-based semantic segmentation for point cloud,.

PRISM: Pointcloud Reintegrated Inference via Segmentation and Cross-attention for Manipulation A review of deep learning-based semantic segmentation for point cloud,

Reference 24

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Observation c86dc650-3ee5-491f-9b6c-f21c33a9f6f8 · outbound

This paper cites Pointnet: Deep learning on point sets for 3d classification and segmentation,.

PRISM: Pointcloud Reintegrated Inference via Segmentation and Cross-attention for Manipulation Pointnet: Deep learning on point sets for 3d classification and segmentation,

Reference 25

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Observation 8004ec2f-edd6-4db5-8e31-a7e8bd37cbff · outbound

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

PRISM: Pointcloud Reintegrated Inference via Segmentation and Cross-attention for Manipulation Pointnet++: Deep hierarchical feature learning on point sets in a metric space,

Reference 26

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Observation 932c08ef-2f41-49bd-9a17-dd19530118dc · outbound

This paper cites Dynamic graph cnn for learning on point clouds,.

PRISM: Pointcloud Reintegrated Inference via Segmentation and Cross-attention for Manipulation Dynamic graph cnn for learning on point clouds,

Reference 27

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Observation 00ac099c-e196-4709-a15f-806c340c6117 · outbound

This paper cites A density-based algorithm for discovering clusters in large spatial databases with noise,.

PRISM: Pointcloud Reintegrated Inference via Segmentation and Cross-attention for Manipulation A density-based algorithm for discovering clusters in large spatial databases with noise,

Reference 28

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Observation 072f229f-e5f2-4104-a465-d1f9065fdef0 · outbound

This paper cites Dbscan revisited, revisited: why and how you should (still) use dbscan,.

PRISM: Pointcloud Reintegrated Inference via Segmentation and Cross-attention for Manipulation Dbscan revisited, revisited: why and how you should (still) use dbscan,

Reference 29

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Observation 8402f435-71a7-4aa4-96a7-c0d3fa959450 · outbound

This paper cites hdbscan: Hierarchical density based clustering.,.

PRISM: Pointcloud Reintegrated Inference via Segmentation and Cross-attention for Manipulation hdbscan: Hierarchical density based clustering.,

Reference 30

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Observation ae708452-fc6f-4726-9caf-4aa4f5065a56 · outbound

This paper cites 3d urban buildings extraction based on airborne lidar and photogrammetric point cloud fusion according to u-net deep learning model segmentation,.

PRISM: Pointcloud Reintegrated Inference via Segmentation and Cross-attention for Manipulation 3d urban buildings extraction based on airborne lidar and photogrammetric point cloud fusion according to u-net deep learning model segmentation,

Reference 31

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Observation 98725864-59db-4b72-9d21-006ee8b665e1 · outbound

This paper cites Attention is all you need,.

PRISM: Pointcloud Reintegrated Inference via Segmentation and Cross-attention for Manipulation Attention is all you need,

Reference 32

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Observation fb013930-d338-4f6a-bb66-7ddb6d7dfde8 · outbound

This paper cites Neural Machine Translation by Jointly Learning to Align and Translate.

PRISM: Pointcloud Reintegrated Inference via Segmentation and Cross-attention for Manipulation Neural Machine Translation by Jointly Learning to Align and Translate

Reference 33

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Observation e9404056-ba4a-465b-8850-6de6e012f3c1 · outbound

This paper cites Rethinking Positional Encoding in Language Pre-training.

PRISM: Pointcloud Reintegrated Inference via Segmentation and Cross-attention for Manipulation Rethinking Positional Encoding in Language Pre-training

Reference 34

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Observation 4c2d2e0b-2ccc-4b4a-9cdd-e99962de0082 · outbound

This paper cites Denoising diffusion probabilistic models,.

PRISM: Pointcloud Reintegrated Inference via Segmentation and Cross-attention for Manipulation Denoising diffusion probabilistic models,

Reference 35

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Observation ede029fe-6cac-4beb-9621-2018f0238178 · outbound

This paper cites U-net and its variants for medical image segmentation: A review of theory and applications,.

PRISM: Pointcloud Reintegrated Inference via Segmentation and Cross-attention for Manipulation U-net and its variants for medical image segmentation: A review of theory and applications,

Reference 36

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verified fuzzy
raw_fallback, observed 2026-08-06T19:48:11.865201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:48:10.744777Z digest=sha256:9271f4d97795e6877bba2184a34abe0d4d081403a05ba19458e43cb75b4361db

Observation 101c8eda-60be-44b7-ab75-a4c768139206 · outbound

This paper cites Denoising diffusion implicit models,.

PRISM: Pointcloud Reintegrated Inference via Segmentation and Cross-attention for Manipulation Denoising diffusion implicit models,

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T19:48:10.848834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:48:10.848834Z digest=sha256:556357fee3e0fd54597aaad75f591983454b4bacd6c073451297bed79a03b048

Observation 4dcc326c-e475-4d3f-8127-2c2e4f6a6e73 · outbound

This paper cites Film: Visual reasoning with a general conditioning layer,.

PRISM: Pointcloud Reintegrated Inference via Segmentation and Cross-attention for Manipulation Film: Visual reasoning with a general conditioning layer,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:48:11.610563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:48:10.924529Z digest=sha256:cfb4fcc235668216ce0671bf68db0bdfddb2892c148b09af880c7b233197422b

Observation b75e0d48-2b78-4dea-a28c-6e35f9366107 · outbound

This paper cites RoboTwin: Dual-Arm Robot Benchmark with Generative Digital Twins (early version).

PRISM: Pointcloud Reintegrated Inference via Segmentation and Cross-attention for Manipulation RoboTwin: Dual-Arm Robot Benchmark with Generative Digital Twins (early version)

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T19:48:11.021635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:48:11.021635Z digest=sha256:f920d50b22a35f0ac965d1e4fed1a983e13befbbc3e70a95f58c09c49c7cd270

Observation e60d6b7e-67f3-4614-84b9-95df5374d5a9 · outbound

This paper cites ManiSkill: Generalizable Manipulation Skill Benchmark with Large-Scale Demonstrations.

PRISM: Pointcloud Reintegrated Inference via Segmentation and Cross-attention for Manipulation ManiSkill: Generalizable Manipulation Skill Benchmark with Large-Scale Demonstrations

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T19:48:11.095780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:48:11.095780Z digest=sha256:c40191c9e903cb6f00917d0db5c13883112b081f053dc99070edb311ee171f3e

Observation 96a309ec-6c9b-48ca-8299-ccf35267975f · outbound

This paper cites Sapien: A simulated part-based interactive environment,.

PRISM: Pointcloud Reintegrated Inference via Segmentation and Cross-attention for Manipulation Sapien: A simulated part-based interactive environment,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:48:11.464574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:48:11.185470Z digest=sha256:13cf918f17058032dce8681a57c19ead99bf3d56a687bd8f47dfc213c97e1aa4

Pith citing papers

No inbound Pith citation observations are available.