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Paper Citation Record · LEDGER

Bridging the Gap to Real-World Object-Centric Learning

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 27 inbound Pith citation observations for arXiv:2209.14860.

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

pith.paper-citation-record.v1
2209.14860 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 27 of 27 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:03:27.409164Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T11:08:03.261256Z

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Outbound references

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Pith citing papers

Observation fa6f8c80-0688-4a9e-a9a9-95e9351deaa7 · inbound

Leveraging Color Channel Independence for Improved Unsupervised Object Detection cites this paper.

Leveraging Color Channel Independence for Improved Unsupervised Object Detection Bridging the Gap to Real-World Object-Centric Learning

Reference 58

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source=arxiv_source observed=2026-08-11T11:38:16.011662Z digest=sha256:7059b95cf31acd26bb69308a8fa8d10a5e7f2561db75c9399add19000ff61d9d

Observation bb0e9dfc-239c-4b0b-92cf-a484dd9d2aa8 · inbound

Dreamweaver: Learning Compositional World Models from Pixels cites this paper.

Dreamweaver: Learning Compositional World Models from Pixels Bridging the Gap to Real-World Object-Centric Learning

Reference 28

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no resolver link, observed 2026-08-10T15:23:54.967882Z

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source=pdf_text observed=2026-08-10T15:23:54.967882Z digest=sha256:b634450b8d17650a850b450abd48e03ba47001d114e1961fd12e30f478b5b035

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

Object-Centric Representations Improve Policy Generalization in Robot Manipulation cites this paper.

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

Reference 18

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source=pdf_text observed=2026-08-15T21:03:27.409164Z digest=sha256:80ebc1ec3f32e6850794e5b406f03db470789e2b796dfee8db54bcfea33a2f91

Observation 2aa9e2f6-9a32-42e1-9ac2-f1359c5489ef · inbound

FlowCut: Unsupervised Video Instance Segmentation via Temporal Mask Matching cites this paper.

FlowCut: Unsupervised Video Instance Segmentation via Temporal Mask Matching Bridging the Gap to Real-World Object-Centric Learning

Reference 32

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source=pdf_text observed=2026-08-15T20:21:37.002560Z digest=sha256:4bb1821b093684efcb1114e6db268357b3a119b5cc6d2fec0ed87e585593e180

Observation 570ebb4a-348e-4219-86d3-5af63f0b9598 · inbound

Compositional Scene Understanding through Inverse Generative Modeling cites this paper.

Compositional Scene Understanding through Inverse Generative Modeling Bridging the Gap to Real-World Object-Centric Learning

Reference 57

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source=arxiv_source observed=2026-08-07T13:31:08.053196Z digest=sha256:2b6c2e90af25d4ca07bd1a0881120e950177f52ec5f7fcb237d8b8cd1de841f8

Observation 8b0dcb98-956f-49db-bbd7-1d48a384240a · inbound

Self-Disentanglement and Re-Composition for Cross-Domain Few-Shot Segmentation cites this paper.

Self-Disentanglement and Re-Composition for Cross-Domain Few-Shot Segmentation Bridging the Gap to Real-World Object-Centric Learning

Reference 33

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source=arxiv_source observed=2026-08-07T11:24:19.852606Z digest=sha256:c8e3234c6d344fdf1c749d37ab51f37e8a4d0ce8a195f1ac289a3d8fd1a4ed70

Observation d2df8f44-4f56-46ee-ab23-592fb421f5f9 · inbound

CoLa: Chinese Character Decomposition with Compositional Latent Components cites this paper.

CoLa: Chinese Character Decomposition with Compositional Latent Components Bridging the Gap to Real-World Object-Centric Learning

Reference 33

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source=pdf_text observed=2026-08-07T11:00:02.721987Z digest=sha256:9b916d0c962ade8af1a1087b1a4cc49a04bfc0c081a6b2f68835a51f7e50a01c

Observation 1b30982e-6436-4d6c-927c-eb499cc00399 · inbound

Object-level Self-Distillation for Vision Pretraining cites this paper.

Object-level Self-Distillation for Vision Pretraining Bridging the Gap to Real-World Object-Centric Learning

Reference 37

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source=arxiv_source observed=2026-08-07T10:52:54.925946Z digest=sha256:7f4d977c6551e7e5c6693c91a398c1678281f6819dbfee7feb9952c0281d0cc6

Observation 75ce6526-90e2-44d4-9548-2b84d82bc640 · inbound

Identifiable Object Representations under Spatial Ambiguities cites this paper.

Identifiable Object Representations under Spatial Ambiguities Bridging the Gap to Real-World Object-Centric Learning

Reference 64

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source=arxiv_source observed=2026-08-07T05:32:52.849730Z digest=sha256:74d4abdd61080143b10700ba25091fb701b432f5ee529f13ff562fb513cb501c

Observation 9851996b-b101-4fcf-a6e0-7f7695ccb030 · inbound

Is an object-centric representation beneficial for robotic manipulation ? cites this paper.

Is an object-centric representation beneficial for robotic manipulation ? Bridging the Gap to Real-World Object-Centric Learning

Reference 30

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Observation a586ce35-04fe-42b5-ac15-3f7debccec9e · inbound

Dyn-O: Building Structured World Models with Object-Centric Representations cites this paper.

Dyn-O: Building Structured World Models with Object-Centric Representations Bridging the Gap to Real-World Object-Centric Learning

Reference 35

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source=pdf_text observed=2026-08-06T20:19:06.156603Z digest=sha256:d8a543afd84edcddaf69bd2570bfdcf503ad4ad03790fc38fc18e3e26a44e86b

Observation 44e0b2cd-14b9-46cc-ba81-db32d506dc63 · inbound

CObL: Toward Zero-Shot Ordinal Layering without User Prompting cites this paper.

CObL: Toward Zero-Shot Ordinal Layering without User Prompting Bridging the Gap to Real-World Object-Centric Learning

Reference 49

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source=pdf_text observed=2026-08-05T21:35:38.657471Z digest=sha256:b8621937c4b61201291ae7ac43ccdb13f188e8fc681ecfcc72553a3d6f1d4ef3

Observation c503b148-7ae4-4151-9e9f-7be8f09581d1 · inbound

Learning Object-Centric Representations in SAR Images with Multi-Level Feature Fusion cites this paper.

Learning Object-Centric Representations in SAR Images with Multi-Level Feature Fusion Bridging the Gap to Real-World Object-Centric Learning

Reference 14

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source=pdf_text observed=2026-08-04T19:24:39.726349Z digest=sha256:fd9cf72018aebcb8d83d591c1ae8e770ad0dfa9a2d115a2c69d5c43d21ab9675

Observation 58024fc6-db88-4ca5-9aad-cf782d9bb083 · 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 Bridging the Gap to Real-World Object-Centric Learning

Reference 31

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Observation a7d7c570-3345-4534-b74a-2f3d16a49d79 · inbound

Spotlighting Task-Relevant Features: Object-Centric Representations for Better Generalization in Robotic Manipulation cites this paper.

Spotlighting Task-Relevant Features: Object-Centric Representations for Better Generalization in Robotic Manipulation Bridging the Gap to Real-World Object-Centric Learning

Reference 12

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source=pdf_text observed=2026-08-03T07:04:44.963901Z digest=sha256:507ff5cd7baaf3e31e6b4e0fe5b50229a1d93e03eade89169a87264a6181ca6f

Observation 13fa1c28-8178-409e-b2a4-415a0d041823 · inbound

ORGAN: Object-Centric Representation Learning using Cycle Consistent Generative Adversarial Networks cites this paper.

ORGAN: Object-Centric Representation Learning using Cycle Consistent Generative Adversarial Networks Bridging the Gap to Real-World Object-Centric Learning

Reference 2021

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no resolver link, observed 2026-08-02T19:30:48.931848Z

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source=pdf_text observed=2026-08-02T19:30:48.931848Z digest=sha256:6aded797488289d1bd81d2bc4069da3ac2905c9f7430694f912609d65ee85bf6

Observation 900bf576-4821-4cbb-a57d-a4d19d55baee · inbound

Scene-Agnostic Object-Centric Representation Learning for 3D Gaussian Splatting cites this paper.

Scene-Agnostic Object-Centric Representation Learning for 3D Gaussian Splatting Bridging the Gap to Real-World Object-Centric Learning

Reference 36

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arxiv_id, observed 2026-05-11T06:41:33.649354Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-10T17:29:54.777890Z digest=sha256:3b0fe49a55dead8aed08de9f36c7ba5a56b92113e34677e5cb2556155d41b0b3

Observation 7f5dbd97-77cf-4bb1-8bb7-41fa1d3a1fc4 · inbound

OFlow: Injecting Object-Aware Temporal Flow Matching for Robust Robotic Manipulation cites this paper.

OFlow: Injecting Object-Aware Temporal Flow Matching for Robust Robotic Manipulation Bridging the Gap to Real-World Object-Centric Learning

Reference 51

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arxiv_id, observed 2026-05-10T11:30:20.126554Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 315650e9-3a60-419a-9a9d-b5a43866f0ab · inbound

Learning to Theorize the World from Observation cites this paper.

Learning to Theorize the World from Observation Bridging the Gap to Real-World Object-Centric Learning

Reference 62

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arxiv_id, observed 2026-05-11T23:21:28.540365Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation a6b83d39-998f-4e24-9ed3-9372b483b170 · inbound

InfoGeo: Information-Theoretic Object-Centric Learning for Cross-View Generalizable UAV Geo-Localization cites this paper.

InfoGeo: Information-Theoretic Object-Centric Learning for Cross-View Generalizable UAV Geo-Localization Bridging the Gap to Real-World Object-Centric Learning

Reference 16

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arxiv_id, observed 2026-05-11T04:25:55.775242Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 0d9f8760-08ee-498c-9e06-f70e64224de8 · inbound

Information theoretic underpinning of self-supervised learning by clustering cites this paper.

Information theoretic underpinning of self-supervised learning by clustering Bridging the Gap to Real-World Object-Centric Learning

Reference 81

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arxiv_id, observed 2026-05-13T06:22:23.164128Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 4cac6f9c-035a-40ab-a79d-cf64f2098ed3 · inbound

Structure over Pixels: Learning Variable-Length Visual Programs cites this paper.

Structure over Pixels: Learning Variable-Length Visual Programs Bridging the Gap to Real-World Object-Centric Learning

Reference 3

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arxiv_id, observed 2026-06-29T18:13:49.014825Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 5e015247-f79d-4681-aa3c-91d115932c11 · inbound

Formalizing the Binding Problem cites this paper.

Formalizing the Binding Problem Bridging the Gap to Real-World Object-Centric Learning

Reference 89

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arxiv_id, observed 2026-07-02T03:06:29.851364Z

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Observation 1d0f9dab-259e-409e-a1c2-3caba8c698d8 · inbound

Dual-State Slot Attention: Decoupling Appearance and Identity for Video Object-Centric Learning cites this paper.

Dual-State Slot Attention: Decoupling Appearance and Identity for Video Object-Centric Learning Bridging the Gap to Real-World Object-Centric Learning

Reference 1

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arxiv_id, observed 2026-07-03T10:48:02.799924Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation c7a3a953-bb5c-4d8b-98e9-88b775b17c26 · inbound

TSA: Temporal Slot Activation for Persistent Object-Centric Video Representation cites this paper.

TSA: Temporal Slot Activation for Persistent Object-Centric Video Representation Bridging the Gap to Real-World Object-Centric Learning

Reference 26

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arxiv_id, observed 2026-07-03T11:08:03.262858Z

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Observation 122861b2-96a6-4733-b368-605299d744de · inbound

TSA: Temporal Slot Activation for Persistent Object-Centric Video Representation cites this paper.

TSA: Temporal Slot Activation for Persistent Object-Centric Video Representation Bridging the Gap to Real-World Object-Centric Learning

Reference 26

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Observation dd19611e-bf94-430a-ab81-2a6a386919e0 · inbound

Identifying Latent Concepts and Structures for Generalized Category Discovery cites this paper.

Identifying Latent Concepts and Structures for Generalized Category Discovery Bridging the Gap to Real-World Object-Centric Learning

Reference 76

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arxiv_id, observed 2026-07-02T14:47:03.340591Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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