Paper Citation Record · LEDGER

Object-Centric Representations Improve Policy Generalization in Robot Manipulation

As of 23 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 4 inbound Pith citation observations for arXiv:2505.11563.

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

pith.paper-citation-record.v1
2505.11563 v1

Coverage vector

measured 63 of 63 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:03:28.777587Z

measured 67 of 67 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:43:39.197729Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T00:25:48.459159Z

Reference resolution

63 of 63 outbound references displayed

verified exact2
verified fuzzy6
unresolved55
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3b16303b-41dc-4504-9558-b758616f2937 · outbound

This paper cites Haldar, Z.

Object-Centric Representations Improve Policy Generalization in Robot Manipulation Haldar, Z

Reference 1

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Observation 9859d183-7343-40b6-8180-c8f399ebe8f3 · outbound

This paper cites RT-1: Robotics Transformer for Real-World Control at Scale.

Object-Centric Representations Improve Policy Generalization in Robot Manipulation RT-1: Robotics Transformer for Real-World Control at Scale

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T21:03:26.952000Z

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Observation 73d5cd65-7eff-41db-8472-1c25e5ec02e3 · outbound

This paper cites Octo: An Open-Source Generalist Robot Policy.

Object-Centric Representations Improve Policy Generalization in Robot Manipulation Octo: An Open-Source Generalist Robot Policy

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T21:03:27.092122Z

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Observation 5195aaab-d317-434e-b737-3b16116cfe8d · outbound

This paper cites OpenVLA: An Open-Source Vision-Language-Action Model.

Object-Centric Representations Improve Policy Generalization in Robot Manipulation OpenVLA: An Open-Source Vision-Language-Action Model

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T21:03:27.097768Z

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Observation 5015f0ca-4f8f-46cc-b4e9-b206220895bf · outbound

This paper cites R3M: A Universal Visual Representation for Robot Manipulation.

Object-Centric Representations Improve Policy Generalization in Robot Manipulation R3M: A Universal Visual Representation for Robot Manipulation

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T21:03:27.103638Z

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Observation 2741fd5f-1d06-4a1c-bedc-c9eec6f75577 · outbound

This paper cites Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence?.

Object-Centric Representations Improve Policy Generalization in Robot Manipulation Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence?

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T21:03:27.109336Z

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Observation 900dde1c-6358-40fa-8600-0b01be9b2bc5 · outbound

This paper cites VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training.

Object-Centric Representations Improve Policy Generalization in Robot Manipulation VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T21:03:27.115525Z

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Observation 54a0ef54-462a-492b-a145-9f1a8e825c62 · outbound

This paper cites Theia: Distilling Diverse Vision Foundation Models for Robot Learning.

Object-Centric Representations Improve Policy Generalization in Robot Manipulation Theia: Distilling Diverse Vision Foundation Models for Robot Learning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T21:03:27.121387Z

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Observation 8bcc070d-f179-4394-8dc0-a57939c56073 · outbound

This paper cites Real-World Robot Learning with Masked Visual Pre-training.

Object-Centric Representations Improve Policy Generalization in Robot Manipulation Real-World Robot Learning with Masked Visual Pre-training

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T21:03:27.126664Z

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Observation cac37ca6-90f7-467e-9683-e22029626d19 · outbound

This paper cites Robots Pre-train Robots: Manipulation-Centric Robotic Representation from Large-Scale Robot Datasets.

Object-Centric Representations Improve Policy Generalization in Robot Manipulation Robots Pre-train Robots: Manipulation-Centric Robotic Representation from Large-Scale Robot Datasets

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T21:03:27.131359Z

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Observation 88c85fd3-c597-4645-a8dd-606a012cd029 · outbound

This paper cites The Unsurprising Effectiveness of Pre-Trained Vision Models for Control.

Object-Centric Representations Improve Policy Generalization in Robot Manipulation The Unsurprising Effectiveness of Pre-Trained Vision Models for Control

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T21:03:27.190857Z

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Observation 3c47ab24-765c-4bb7-823d-a13b63d2d5e9 · outbound

This paper cites What Makes Pre-Trained Visual Representations Successful for Robust Manipulation?.

Object-Centric Representations Improve Policy Generalization in Robot Manipulation What Makes Pre-Trained Visual Representations Successful for Robust Manipulation?

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T21:03:27.291575Z

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Observation 6811023e-e1d7-44ab-9b58-85dbcb1a4d0b · outbound

This paper cites Building Machines That Learn and Think Like People.

Object-Centric Representations Improve Policy Generalization in Robot Manipulation Building Machines That Learn and Think Like People

Reference 13

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Observation 3055c856-1ccc-4b15-b0d3-ec42e806b51b · outbound

This paper cites On the Binding Problem in Artificial Neural Networks.

Object-Centric Representations Improve Policy Generalization in Robot Manipulation On the Binding Problem in Artificial Neural Networks

Reference 14

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Observation 825dbcd7-efc0-40d1-950c-86d6a07c4254 · outbound

This paper cites Kroemer, S.

Object-Centric Representations Improve Policy Generalization in Robot Manipulation Kroemer, S

Reference 15

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Observation 7ca3bc53-96b8-4d5e-9a1e-0971b25c2bef · outbound

This paper cites Representation Learning: A Review and New Perspectives.

Object-Centric Representations Improve Policy Generalization in Robot Manipulation Representation Learning: A Review and New Perspectives

Reference 16

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Observation 56d164fe-740d-4d2e-ab4c-b6ef993b5de6 · outbound

This paper cites Object-Centric Learning with Slot Attention.

Object-Centric Representations Improve Policy Generalization in Robot Manipulation Object-Centric Learning with Slot Attention

Reference 17

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Observation 50396d2f-f711-46e9-95cc-6e80246359df · outbound

This paper cites Bridging the Gap to Real-World Object-Centric Learning.

Object-Centric Representations Improve Policy Generalization in Robot Manipulation Bridging the Gap to Real-World Object-Centric Learning

Reference 18

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Observation fd6632d1-d102-4041-a6c5-44e7e9da273f · outbound

This paper cites An Investigation into Pre-Training Object-Centric Representations for Reinforcement Learning.

Object-Centric Representations Improve Policy Generalization in Robot Manipulation An Investigation into Pre-Training Object-Centric Representations for Reinforcement Learning

Reference 19

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Observation 659ffe8f-f744-49fc-83bf-300e42a88b0e · outbound

This paper cites Heravi, A.

Object-Centric Representations Improve Policy Generalization in Robot Manipulation Heravi, A

Reference 20

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Source-reported events for the cited work

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Observation 2f7f55fd-7d1d-4929-ac76-643bdbc26b3a · outbound

This paper cites Entity-Centric Reinforcement Learning for Object Manipulation from Pixels.

Object-Centric Representations Improve Policy Generalization in Robot Manipulation Entity-Centric Reinforcement Learning for Object Manipulation from Pixels

Reference 21

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Observation 4e1788d8-2468-4b98-bf4b-d2eb4f894cce · outbound

This paper cites COBRA: Data-Efficient Model-Based RL through Unsupervised Object Discovery and Curiosity-Driven Exploration.

Object-Centric Representations Improve Policy Generalization in Robot Manipulation COBRA: Data-Efficient Model-Based RL through Unsupervised Object Discovery and Curiosity-Driven Exploration

Reference 22

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Observation 9721f46c-3572-4061-a68d-553c78ed233c · outbound

This paper cites Conditional Object-Centric Learning from Video.

Object-Centric Representations Improve Policy Generalization in Robot Manipulation Conditional Object-Centric Learning from Video

Reference 23

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Observation 61ecd68f-7309-4630-85bc-08293763e66b · outbound

This paper cites Is an Object-Centric Video Representation Beneficial for Transfer?.

Object-Centric Representations Improve Policy Generalization in Robot Manipulation Is an Object-Centric Video Representation Beneficial for Transfer?

Reference 24

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Observation 211aad94-e011-4889-8747-0256ecd0aed1 · outbound

This paper cites Improved Baselines with Momentum Contrastive Learning.

Object-Centric Representations Improve Policy Generalization in Robot Manipulation Improved Baselines with Momentum Contrastive Learning

Reference 25

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Observation 3664731e-5230-4774-9ffb-a9a60abe34ec · outbound

This paper cites Emerging Properties in Self-Supervised Vision Transformers.

Object-Centric Representations Improve Policy Generalization in Robot Manipulation Emerging Properties in Self-Supervised Vision Transformers

Reference 26

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Observation 342e71d7-3852-433d-9812-56af36b11bda · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Object-Centric Representations Improve Policy Generalization in Robot Manipulation DINOv2: Learning Robust Visual Features without Supervision

Reference 27

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Observation 7e1e876a-0eba-4a3f-8712-d1619b924821 · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

Object-Centric Representations Improve Policy Generalization in Robot Manipulation Learning Transferable Visual Models From Natural Language Supervision

Reference 28

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Observation 1fbc16ea-6add-4c0e-9ea5-e284ef82f009 · outbound

This paper cites Ego4D: Around the World in 3,000 Hours of Egocentric Video.

Object-Centric Representations Improve Policy Generalization in Robot Manipulation Ego4D: Around the World in 3,000 Hours of Egocentric Video

Reference 29

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Observation 9815e60f-3ec8-49cc-b0b6-6130f809c2ec · outbound

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Object-Centric Representations Improve Policy Generalization in Robot Manipulation An Unbiased Look at Datasets for Visuo-Motor Pre-Training

Reference 30

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Observation 283304f9-0d65-43c2-a05a-7459238fa0e2 · outbound

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Object-Centric Representations Improve Policy Generalization in Robot Manipulation Hamdan and F

Reference 31

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Source-reported events for the cited work

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Observation 0d3522fd-2a2a-49a6-af2f-977483c27ff4 · outbound

This paper cites SOLD: Slot Object-Centric Latent Dynamics Models for Relational Manipulation Learning from Pixels.

Object-Centric Representations Improve Policy Generalization in Robot Manipulation SOLD: Slot Object-Centric Latent Dynamics Models for Relational Manipulation Learning from Pixels

Reference 32

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Observation d9c6fe75-d493-4164-ba98-9a0e17f0664c · outbound

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Object-Centric Representations Improve Policy Generalization in Robot Manipulation Unresolved cited work

Reference 33

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Observation 9c8fbc57-3656-44a6-9778-5816a6892416 · outbound

This paper cites CarFormer: Self-Driving with Learned Object-Centric Representations.

Object-Centric Representations Improve Policy Generalization in Robot Manipulation CarFormer: Self-Driving with Learned Object-Centric Representations

Reference 34

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Observation e16ff5d5-8d24-42f9-85d4-38c27530d9ab · outbound

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Object-Centric Representations Improve Policy Generalization in Robot Manipulation MONet: Unsupervised Scene Decomposition and Representation

Reference 35

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Observation d4321a0b-a67f-42e0-bbdb-6dc0832c1e1e · outbound

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Object-Centric Representations Improve Policy Generalization in Robot Manipulation Object-Centric Slot Diffusion

Reference 36

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Observation 5c0ec4fc-3e07-4ecf-a024-8f581e802cef · outbound

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Object-Centric Representations Improve Policy Generalization in Robot Manipulation SIMONe: View-Invariant, Temporally-Abstracted Object Representations via Unsupervised Video Decomposition

Reference 37

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Object-Centric Representations Improve Policy Generalization in Robot Manipulation Illiterate DALL-E Learns to Compose

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Observation 11adb658-c736-497a-aeb2-67dcc94eefff · outbound

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Object-Centric Representations Improve Policy Generalization in Robot Manipulation SAVi++: Towards End-to-End Object-Centric Learning from Real-World Videos

Reference 39

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Observation 7f647684-db3f-48a3-8d8a-c2a17a794269 · outbound

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Object-Centric Representations Improve Policy Generalization in Robot Manipulation SlotDiffusion: Object-Centric Generative Modeling with Diffusion Models

Reference 40

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Observation a74a4c6d-0e94-4345-ab66-1f704bc62188 · outbound

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Object-Centric Representations Improve Policy Generalization in Robot Manipulation Object-Centric Learning for Real-World Videos by Predicting Temporal Feature Similarities

Reference 41

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Object-Centric Representations Improve Policy Generalization in Robot Manipulation Zero-Shot Object-Centric Representation Learning

Reference 42

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Observation 965b8621-59f8-4aa6-891e-22eb562cb0cf · outbound

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Object-Centric Representations Improve Policy Generalization in Robot Manipulation Simple Unsupervised Object-Centric Learning for Complex and Naturalistic Videos

Reference 43

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Object-Centric Representations Improve Policy Generalization in Robot Manipulation Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware

Reference 44

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Object-Centric Representations Improve Policy Generalization in Robot Manipulation Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference

Reference 45

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Object-Centric Representations Improve Policy Generalization in Robot Manipulation Attention Is All You Need

Reference 46

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Object-Centric Representations Improve Policy Generalization in Robot Manipulation LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning

Reference 47

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Object-Centric Representations Improve Policy Generalization in Robot Manipulation Deep Residual Learning for Image Recognition

Reference 48

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Object-Centric Representations Improve Policy Generalization in Robot Manipulation Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning

Reference 49

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Object-Centric Representations Improve Policy Generalization in Robot Manipulation BridgeData V2: A Dataset for Robot Learning at Scale

Reference 50

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Object-Centric Representations Improve Policy Generalization in Robot Manipulation DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset

Reference 51

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Observation 4861f7f5-9c75-4d69-8dcf-cd7fae2e8f5f · outbound

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Object-Centric Representations Improve Policy Generalization in Robot Manipulation An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 52

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Object-Centric Representations Improve Policy Generalization in Robot Manipulation Microsoft COCO: Common Objects in Context

Reference 53

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Object-Centric Representations Improve Policy Generalization in Robot Manipulation YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark

Reference 54

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Observation 94e4d854-19d6-4ba6-a330-d716806f6405 · outbound

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Object-Centric Representations Improve Policy Generalization in Robot Manipulation ImageNet Large Scale Visual Recognition Challenge

Reference 55

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Observation f273e91c-cd58-4f5d-bb96-11aabea195e3 · outbound

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Object-Centric Representations Improve Policy Generalization in Robot Manipulation Todorov, T

Reference 56

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Source-reported events for the cited work

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Observation 962315d0-9d49-4265-9776-186137fdc72d · outbound

This paper cites Decomposing the Generalization Gap in Imitation Learning for Visual Robotic Manipulation.

Object-Centric Representations Improve Policy Generalization in Robot Manipulation Decomposing the Generalization Gap in Imitation Learning for Visual Robotic Manipulation

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-15T21:03:28.766264Z

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Observation 0460b845-e591-4355-9e7d-ab135088e905 · outbound

This paper cites Cadene, S.

Object-Centric Representations Improve Policy Generalization in Robot Manipulation Cadene, S

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:03:30.394435Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 28f5e4f2-1365-45b4-bf10-21edf69ad9b5 · outbound

This paper cites Mandlekar, D.

Object-Centric Representations Improve Policy Generalization in Robot Manipulation Mandlekar, D

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:03:30.226225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 03fcc301-3ebd-4238-a619-86ffb99b2749 · outbound

This paper cites Figure 7: Slots visualization.

Object-Centric Representations Improve Policy Generalization in Robot Manipulation Figure 7: Slots visualization

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:03:30.141533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 08e949cd-d574-4404-acaa-32841cb16428 · outbound

This paper cites Visuomotor Control in Multi-Object Scenes Using Object-Aware Representations.

Object-Centric Representations Improve Policy Generalization in Robot Manipulation Visuomotor Control in Multi-Object Scenes Using Object-Aware Representations

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-15T21:03:27.424234Z

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Observation bc780103-40df-457d-9ba8-cc1889eea211 · outbound

This paper cites BAKU: An Efficient Transformer for Multi-Task Policy Learning.

Object-Centric Representations Improve Policy Generalization in Robot Manipulation BAKU: An Efficient Transformer for Multi-Task Policy Learning

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-15T21:03:26.865833Z

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Observation 1c7fe3ea-dfa8-49eb-9874-a28b1599de54 · outbound

This paper cites doi:10.1109/IROS.2012.6386109.

Object-Centric Representations Improve Policy Generalization in Robot Manipulation doi:10.1109/IROS.2012.6386109

Reference 5033

Resolution: unresolved; no resolver link, observed 2026-08-15T21:03:28.761459Z

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Pith citing papers

Observation 100b3e74-2dc2-480b-bfb7-8f5371dfb604 · inbound

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges cites this paper.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges Object-Centric Representations Improve Policy Generalization in Robot Manipulation

Reference 109

Resolution: unresolved; no resolver link, observed 2026-08-05T16:55:52.293984Z

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Observation 825c5ccf-958e-4b63-8ff6-d5ede32fc4d5 · inbound

STORM: Slot-based Task-aware Object-centric Representation for robotic Manipulation cites this paper.

STORM: Slot-based Task-aware Object-centric Representation for robotic Manipulation Object-Centric Representations Improve Policy Generalization in Robot Manipulation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T15:43:39.197729Z

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Observation bba5fe47-62e4-453d-9722-fc4a8934b630 · inbound

SID: Sliding into Distribution for Robust Few-Demonstration Manipulation cites this paper.

SID: Sliding into Distribution for Robust Few-Demonstration Manipulation Object-Centric Representations Improve Policy Generalization in Robot Manipulation

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-14T19:17:50.477443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 493281f0-a572-44bc-a2fe-69fc14e36a4d · inbound

FORGE: Towards Functional Tool-Use Generalization via Keypoint Trajectory Reasoning cites this paper.

FORGE: Towards Functional Tool-Use Generalization via Keypoint Trajectory Reasoning Object-Centric Representations Improve Policy Generalization in Robot Manipulation

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-07-09T00:25:48.460545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.