Paper Citation Record · LEDGER

SAVi++: Towards End-to-End Object-Centric Learning from Real-World Videos

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2206.07764.

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

pith.paper-citation-record.v1
2206.07764 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:12:33.210499Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T20:35:02.744111Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation fad55c0d-d26b-42c3-8a0b-718296639139 · inbound

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

Leveraging Color Channel Independence for Improved Unsupervised Object Detection SAVi++: Towards End-to-End Object-Centric Learning from Real-World Videos

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T11:38:15.907675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93a7eac3-358c-43ad-b772-cae8c193b8ed · inbound

Object Learning and Robust 3D Reconstruction cites this paper.

Object Learning and Robust 3D Reconstruction SAVi++: Towards End-to-End Object-Centric Learning from Real-World Videos

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-16T11:12:33.210499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

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

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-15T21:03:28.262008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41c5eeae-993e-43ed-8866-cc10e0ee5c59 · inbound

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

Is an object-centric representation beneficial for robotic manipulation ? SAVi++: Towards End-to-End Object-Centric Learning from Real-World Videos

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:49.960144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ef0bc16-0272-47b2-abbb-58bf3c01dac2 · inbound

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

Dyn-O: Building Structured World Models with Object-Centric Representations SAVi++: Towards End-to-End Object-Centric Learning from Real-World Videos

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-06T20:19:03.120159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1eed1104-3104-48a6-9a4f-f704c261d8bf · 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 SAVi++: Towards End-to-End Object-Centric Learning from Real-World Videos

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-03T07:04:45.078311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff62c510-5527-4c52-937f-145ecd359c02 · inbound

OA-WAM: Object-Addressable World Action Model for Robust Robot Manipulation cites this paper.

OA-WAM: Object-Addressable World Action Model for Robust Robot Manipulation SAVi++: Towards End-to-End Object-Centric Learning from Real-World Videos

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T20:31:10.959005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 64263a3b-df8e-49fb-bef8-1880a2a007f5 · inbound

Entity-Centric World Models: Interaction-Aware Masking for Causal Video Prediction cites this paper.

Entity-Centric World Models: Interaction-Aware Masking for Causal Video Prediction SAVi++: Towards End-to-End Object-Centric Learning from Real-World Videos

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-19T14:57:36.550461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9a559a95-ad1a-469a-99c0-0b5bc7a13ad8 · inbound

Entity-Centric World Models: Interaction-Aware Masking for Causal Video Prediction cites this paper.

Entity-Centric World Models: Interaction-Aware Masking for Causal Video Prediction SAVi++: Towards End-to-End Object-Centric Learning from Real-World Videos

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-06-30T20:35:02.746220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e7416b40-63e3-494d-bb78-1412bd421228 · inbound

HERA: Historical Evidence Routing Adapter for Physical Prediction in Latent World Models cites this paper.

HERA: Historical Evidence Routing Adapter for Physical Prediction in Latent World Models SAVi++: Towards End-to-End Object-Centric Learning from Real-World Videos

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-08T11:36:53.723234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.