Paper Citation Record · LEDGER

Efficient Object-centric Representation Learning with Pre-trained Geometric Prior

As of 21 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2412.12331.

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

pith.paper-citation-record.v1
2412.12331 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:14:48.386615Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

23 of 23 outbound references displayed

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verified fuzzy21
unresolved2
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b26e6d97-12de-45fa-ba6a-f3e240ee7941 · outbound

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

Efficient Object-centric Representation Learning with Pre-trained Geometric Prior On the Binding Problem in Artificial Neural Networks

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T14:14:48.222524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2cd9882-e30d-4902-bf1f-92238d4d74eb · outbound

This paper cites Learn- ing object-centric transformation for video prediction,.

Efficient Object-centric Representation Learning with Pre-trained Geometric Prior Learn- ing object-centric transformation for video prediction,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:14:48.993069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5f4e243b-0a14-4318-9af3-5ee10e275746 · outbound

This paper cites Attention over learned object embeddings enables complex visual reasoning,.

Efficient Object-centric Representation Learning with Pre-trained Geometric Prior Attention over learned object embeddings enables complex visual reasoning,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:14:48.969130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0459be41-c433-4238-8f40-fa004669cc52 · outbound

This paper cites Contrastive Learning of Structured World Models,.

Efficient Object-centric Representation Learning with Pre-trained Geometric Prior Contrastive Learning of Structured World Models,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:14:48.946192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 523677a5-fa23-4ca6-9837-9ba60bc4724f · outbound

This paper cites Object-Centric Learning with Slot Attention.,.

Efficient Object-centric Representation Learning with Pre-trained Geometric Prior Object-Centric Learning with Slot Attention.,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:14:48.925632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c169f45a-0bd8-45e2-bf80-4eac2708b715 · outbound

This paper cites Conditional Object-Centric Learning from Video.

Efficient Object-centric Representation Learning with Pre-trained Geometric Prior Conditional Object-Centric Learning from Video

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T14:14:48.257074Z

Source-reported events for the cited work

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Observation 00da1ba6-0995-4411-a3ea-7d75ec2246e0 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale,.

Efficient Object-centric Representation Learning with Pre-trained Geometric Prior An image is worth 16x16 words: Transformers for image recognition at scale,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:14:48.896121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d11dc5f8-3675-4cb8-b557-45bce3e431c4 · outbound

This paper cites Masked autoencoders are scalable vision learners,.

Efficient Object-centric Representation Learning with Pre-trained Geometric Prior Masked autoencoders are scalable vision learners,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:14:48.869713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 93b99176-497a-4e7c-a495-0467deb8273a · outbound

This paper cites The effectiveness of MAE pre-pretraining for billion-scale pretraining.,.

Efficient Object-centric Representation Learning with Pre-trained Geometric Prior The effectiveness of MAE pre-pretraining for billion-scale pretraining.,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:14:48.848099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ca6289cc-f3a5-4728-8089-cd170eb2185e · outbound

This paper cites Contrastive Representation Learning: A Framework and Review,.

Efficient Object-centric Representation Learning with Pre-trained Geometric Prior Contrastive Representation Learning: A Framework and Review,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:14:48.821516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation add8798d-fbe3-40c2-862a-30a1ed4bfe27 · outbound

This paper cites Bootstrap your own latent-a new approach to self-supervised learning,.

Efficient Object-centric Representation Learning with Pre-trained Geometric Prior Bootstrap your own latent-a new approach to self-supervised learning,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:14:48.794703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation aafb00bc-77ed-4fbb-8d9e-d14cd43705f1 · outbound

This paper cites Emerging properties in self-supervised vision transformers,.

Efficient Object-centric Representation Learning with Pre-trained Geometric Prior Emerging properties in self-supervised vision transformers,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:14:48.761826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a98085a5-fc1e-47fe-9140-2b0ada0b99b3 · outbound

This paper cites Omnimae: Single model masked pretraining on images and videos,.

Efficient Object-centric Representation Learning with Pre-trained Geometric Prior Omnimae: Single model masked pretraining on images and videos,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:14:48.741296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ba34032f-5087-4fff-a0f0-9e1f317500de · outbound

This paper cites CroCo: Self-supervised pre- training for 3D vision tasks by cross-view completion,.

Efficient Object-centric Representation Learning with Pre-trained Geometric Prior CroCo: Self-supervised pre- training for 3D vision tasks by cross-view completion,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:14:48.722635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2af2fd98-a18c-4b88-9dcd-99d146fa8414 · outbound

This paper cites Neural expectation maximization,.

Efficient Object-centric Representation Learning with Pre-trained Geometric Prior Neural expectation maximization,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:14:48.702283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f0f47e38-75af-4450-885f-b6a2f82cf62e · outbound

This paper cites SIMONe: View-invariant, temporally-abstracted object repre- sentations via unsupervised video decomposition,.

Efficient Object-centric Representation Learning with Pre-trained Geometric Prior SIMONe: View-invariant, temporally-abstracted object repre- sentations via unsupervised video decomposition,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:14:48.682245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9211c086-af13-43ba-81fb-83b9e68abeb1 · outbound

This paper cites SA Vi++: Towards end-to-end object-centric learning from real-world videos,.

Efficient Object-centric Representation Learning with Pre-trained Geometric Prior SA Vi++: Towards end-to-end object-centric learning from real-world videos,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:14:48.657484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ab4f6a8a-2cf8-47cb-bc51-89a8fc38b845 · outbound

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

Efficient Object-centric Representation Learning with Pre-trained Geometric Prior Bridging the Gap to Real-World Object-Centric Learning.,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:14:48.634640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation dffea490-d1bb-4aac-be36-15ed76a6abc4 · outbound

This paper cites Depth-aided Camouflaged Object Detection,.

Efficient Object-centric Representation Learning with Pre-trained Geometric Prior Depth-aided Camouflaged Object Detection,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:14:48.612514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e8de26a1-418a-4762-ba48-84b8b27e14ab · outbound

This paper cites Kubric: A scalable dataset generator.,.

Efficient Object-centric Representation Learning with Pre-trained Geometric Prior Kubric: A scalable dataset generator.,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:14:48.589867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c2dadb05-7813-4c60-9e11-45a93061049f · outbound

This paper cites Masked Siamese Networks for Label-Efficient Learning.,.

Efficient Object-centric Representation Learning with Pre-trained Geometric Prior Masked Siamese Networks for Label-Efficient Learning.,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:14:48.560392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3d9b7546-7d84-49c2-9927-34718c579c8d · outbound

This paper cites Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains.,.

Efficient Object-centric Representation Learning with Pre-trained Geometric Prior Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains.,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:14:48.540843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7a63bc56-f7e5-414b-b118-6859722b8bea · outbound

This paper cites Multi-Object Representation Learning with Iterative Variational Inference,.

Efficient Object-centric Representation Learning with Pre-trained Geometric Prior Multi-Object Representation Learning with Iterative Variational Inference,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:14:48.517659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

No inbound Pith citation observations are available.