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Paper Citation Record · LEDGER

SR-JEPA: Learning Predictive Latent State in 3D Scenes

As of 8 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2608.05774.

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

pith.paper-citation-record.v1
2608.05774 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T23:47:03.627074Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

33 of 33 outbound references displayed

  • verified exact1
  • verified fuzzy23
  • unresolved9
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c3f37127-811a-4418-a3ac-63c8525cabb6 · outbound

This paper cites Point2vec for self-supervised representa- tion learning on point clouds.

SR-JEPA: Learning Predictive Latent State in 3D Scenes Point2vec for self-supervised representa- tion learning on point clouds

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 29fe8fd6-dbfa-421b-b974-d4222045f63d · outbound

This paper cites Referit3d: Neural listeners for fine-grained 3d object identification in real-world scenes.

SR-JEPA: Learning Predictive Latent State in 3D Scenes Referit3d: Neural listeners for fine-grained 3d object identification in real-world scenes

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 868524de-30d5-4666-bd46-21f0b39aeebb · outbound

This paper cites Self-supervised learning from images with a joint-embedding predictive architecture.

SR-JEPA: Learning Predictive Latent State in 3D Scenes Self-supervised learning from images with a joint-embedding predictive architecture

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation c8a66b04-5d89-4855-8518-234c151800b3 · outbound

This paper cites V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning.

SR-JEPA: Learning Predictive Latent State in 3D Scenes V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:47:03.467935Z digest=sha256:865700b4eb88bee2b752abae9e418bb88628ef88423f95872ebad9c1e9df3bfd

Observation 1ebcde51-2340-4672-8992-839a283a13c5 · outbound

This paper cites data2vec: A general framework for self-supervised learning in speech, vision and language.

SR-JEPA: Learning Predictive Latent State in 3D Scenes data2vec: A general framework for self-supervised learning in speech, vision and language

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T23:47:03.473563Z digest=sha256:886cd6d102a704cc9bcf15199611c482a792ef9540be743da6b6fbbbacbde77a

Observation ebe60a60-94fc-4191-83cb-5a0e60fffc81 · outbound

This paper cites Revisiting feature prediction for learning visual representations from video (v-jepa).Transactions on Machine Learning Research (TMLR), 2024.

SR-JEPA: Learning Predictive Latent State in 3D Scenes Revisiting feature prediction for learning visual representations from video (v-jepa).Transactions on Machine Learning Research (TMLR), 2024

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-07T23:47:04.201475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 38d3db9b-9719-4aff-9650-0734e4f53120 · outbound

This paper cites Arkitscenes: A diverse real-world dataset for 3d indoor scene understanding using mobile rgb-d data.

SR-JEPA: Learning Predictive Latent State in 3D Scenes Arkitscenes: A diverse real-world dataset for 3d indoor scene understanding using mobile rgb-d data

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T23:47:03.484806Z digest=sha256:98d3845aef452b562b5b29b2d2e759aa8506894fae4e79721b1d72fc3fad8d0c

Observation 82597952-896d-42b3-9ea1-aabcc411277a · outbound

This paper cites Chang, Manolis Savva, Maciej Halber, Thomas Funkhouser, and Matthias Nießner.

SR-JEPA: Learning Predictive Latent State in 3D Scenes Chang, Manolis Savva, Maciej Halber, Thomas Funkhouser, and Matthias Nießner

Reference 8

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raw_fallback, observed 2026-08-07T23:47:04.171257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T23:47:03.490038Z digest=sha256:1aced09137a4c9df893c56c7eae5707e34db68563405b6a63f403fccee70df9b

Observation d1c13e67-c5d0-4a44-868a-e50868c7a153 · outbound

This paper cites Learning and Leveraging World Models in Visual Representation Learning.

SR-JEPA: Learning Predictive Latent State in 3D Scenes Learning and Leveraging World Models in Visual Representation Learning

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5218d998-507a-4e2c-b7e5-13f2271ec6ab · outbound

This paper cites Rel3d: A minimally contrastive benchmark for grounding spatial relations in 3d.

SR-JEPA: Learning Predictive Latent State in 3D Scenes Rel3d: A minimally contrastive benchmark for grounding spatial relations in 3d

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 3b2d0120-c36b-43f5-b17d-fccf0e5151b5 · outbound

This paper cites Designing and interpreting probes with control tasks.

SR-JEPA: Learning Predictive Latent State in 3D Scenes Designing and interpreting probes with control tasks

Reference 11

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:47:03.505365Z digest=sha256:5ae723cb206c8493b8742cc82aa1993b1641b789d618c5f8e040fc28a42ebd6e

Observation 57e62297-9673-4165-b6cf-886d8fd72fa1 · outbound

This paper cites Exploring data-efficient 3d scene understanding with contrastive scene contexts.

SR-JEPA: Learning Predictive Latent State in 3D Scenes Exploring data-efficient 3d scene understanding with contrastive scene contexts

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:47:04.133504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 9e4bf98b-a60d-4f64-bd0b-c42f945a397a · outbound

This paper cites 3D-JEPA: A Joint Embedding Predictive Architecture for 3D Self-Supervised Representation Learning.

SR-JEPA: Learning Predictive Latent State in 3D Scenes 3D-JEPA: A Joint Embedding Predictive Architecture for 3D Self-Supervised Representation Learning

Reference 13

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no resolver link, observed 2026-08-07T23:47:03.516542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:47:03.516542Z digest=sha256:9b7169a02a9ee20014c46a5dae98eb033ef9083ad409d8e1e003c3465578ceb5

Observation 49a2c4c0-19d3-417a-91ca-3e15badc6c44 · outbound

This paper cites Self-supervised pre-training with masked shape prediction for 3d scene understanding.

SR-JEPA: Learning Predictive Latent State in 3D Scenes Self-supervised pre-training with masked shape prediction for 3d scene understanding

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-07T23:47:04.119570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 43712f1c-a227-46d8-8bb2-45cdf0e92c4d · outbound

This paper cites A path towards autonomous machine intelligence.OpenReview preprint, 2022.

SR-JEPA: Learning Predictive Latent State in 3D Scenes A path towards autonomous machine intelligence.OpenReview preprint, 2022

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 9de184af-f2ec-46f5-ab16-d47e59571bc2 · outbound

This paper cites Sscbench: A large-scale 3d semantic scene completion benchmark for autonomous driving.

SR-JEPA: Learning Predictive Latent State in 3D Scenes Sscbench: A large-scale 3d semantic scene completion benchmark for autonomous driving

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 7e62f88e-2c7f-4bb3-a03c-2d5dbb71804b · outbound

This paper cites Poma-3d: The point map way to 3d scene understanding.

SR-JEPA: Learning Predictive Latent State in 3D Scenes Poma-3d: The point map way to 3d scene understanding

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation d88b9ff5-898a-443b-9668-a270d814cb57 · outbound

This paper cites Locate 3d: Real-world object localization via self-supervised learning in 3d.

SR-JEPA: Learning Predictive Latent State in 3D Scenes Locate 3d: Real-world object localization via self-supervised learning in 3d

Reference 18

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raw_fallback, observed 2026-08-07T23:47:04.060901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 0667133c-ef74-4e63-854c-9c687844ac08 · outbound

This paper cites V-JEPA 2.1: Unlocking Dense Features in Video Self-Supervised Learning.

SR-JEPA: Learning Predictive Latent State in 3D Scenes V-JEPA 2.1: Unlocking Dense Features in Video Self-Supervised Learning

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:47:03.549339Z digest=sha256:db200cbccbf7924ba965f14123a7a83158a8237467e348a1ad7cb48e8e0a0dc8

Observation 32efd2e8-614c-45a7-960d-f884fa340c48 · outbound

This paper cites Causal-JEPA: Learning World Models through Object-Level Latent Masking.

SR-JEPA: Learning Predictive Latent State in 3D Scenes Causal-JEPA: Learning World Models through Object-Level Latent Masking

Reference 20

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Unavailable: canonical work link unavailable.

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Observation 0c078f98-8ef5-48ed-8ae2-c82a8b82a6ef · outbound

This paper cites Tay, Wei Liu, Yonghong Tian, and Li Yuan.

SR-JEPA: Learning Predictive Latent State in 3D Scenes Tay, Wei Liu, Yonghong Tian, and Li Yuan

Reference 21

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verified fuzzy
raw_fallback, observed 2026-08-07T23:47:04.045035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 0934e3c5-1c60-4bb1-894d-7843b6f60101 · outbound

This paper cites Point-jepa: A joint embedding predictive architecture for self-supervised learning on point cloud.

SR-JEPA: Learning Predictive Latent State in 3D Scenes Point-jepa: A joint embedding predictive architecture for self-supervised learning on point cloud

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 0f3f0185-e062-46d7-8a33-20e20d16eb28 · outbound

This paper cites Learning 3d semantic scene graphs from 3d indoor reconstructions.

SR-JEPA: Learning Predictive Latent State in 3D Scenes Learning 3d semantic scene graphs from 3d indoor reconstructions

Reference 23

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raw_fallback, observed 2026-08-07T23:47:04.015435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 3082db8b-83f8-4deb-8462-1e01f1ee403e · outbound

This paper cites Can transformers capture spatial relations between objects? In ICLR, 2024.

SR-JEPA: Learning Predictive Latent State in 3D Scenes Can transformers capture spatial relations between objects? In ICLR, 2024

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 4389e447-d652-4b32-82eb-465d9bdfc187 · outbound

This paper cites Masked scene contrast: A scalable framework for unsupervised 3d representation learning.

SR-JEPA: Learning Predictive Latent State in 3D Scenes Masked scene contrast: A scalable framework for unsupervised 3d representation learning

Reference 25

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raw_fallback, observed 2026-08-07T23:47:03.985460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation b95c63f7-76e5-42e3-ae81-baa6f8a136cc · outbound

This paper cites Point transformer v3: Simpler, faster, stronger.

SR-JEPA: Learning Predictive Latent State in 3D Scenes Point transformer v3: Simpler, faster, stronger

Reference 26

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no resolver link, observed 2026-08-07T23:47:03.591061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 34b77b7e-21ed-4d69-9de1-435bec68f8cf · outbound

This paper cites Sonata: Self-supervised learning of reliable point representations.

SR-JEPA: Learning Predictive Latent State in 3D Scenes Sonata: Self-supervised learning of reliable point representations

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-07T23:47:03.960441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 9a092eb8-79d5-4934-82b5-3032ee07f90b · outbound

This paper cites Qi, Leonidas Guibas, and Or Litany.

SR-JEPA: Learning Predictive Latent State in 3D Scenes Qi, Leonidas Guibas, and Or Litany

Reference 28

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raw_fallback, observed 2026-08-07T23:47:03.945560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 4dbdd838-d74c-4c6a-a981-5bee32a07adf · outbound

This paper cites Monocular occupancy prediction for scalable indoor scenes.

SR-JEPA: Learning Predictive Latent State in 3D Scenes Monocular occupancy prediction for scalable indoor scenes

Reference 29

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raw_fallback, observed 2026-08-07T23:47:03.930219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T23:47:03.607166Z digest=sha256:aece412800eb90ba3967b78aac728fe711d89fbc4fd157dc987c05d128f51563

Observation 96975961-b43e-4196-884e-fac01488ae8e · outbound

This paper cites Point-m2ae: Multi-scale masked autoencoders for hierarchical point cloud pre-training.

SR-JEPA: Learning Predictive Latent State in 3D Scenes Point-m2ae: Multi-scale masked autoencoders for hierarchical point cloud pre-training

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-07T23:47:03.915056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T23:47:03.612436Z digest=sha256:984d3439e474e3b6ffaf4023e97f912fde1e0d86360c587ac56870a10157bb11

Observation ec619e4e-22b6-494b-8e4e-601a00fd28c8 · outbound

This paper cites Concerto: Joint 2d-3d self-supervised learning emerges spatial representations.

SR-JEPA: Learning Predictive Latent State in 3D Scenes Concerto: Joint 2d-3d self-supervised learning emerges spatial representations

Reference 31

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unresolved
no resolver link, observed 2026-08-07T23:47:03.616702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:47:03.616702Z digest=sha256:9d7fdc0cddc9df39fce80f607918456e14b33d97c11c18670179ea49380c5c93

Observation 1e8c0b06-0298-4f1d-8324-07dff51387d2 · outbound

This paper cites Self-supervised jepa-based world models for lidar occupancy completion and forecasting.arXiv preprint arXiv:2602.12540, 2026.

SR-JEPA: Learning Predictive Latent State in 3D Scenes Self-supervised jepa-based world models for lidar occupancy completion and forecasting.arXiv preprint arXiv:2602.12540, 2026

Reference 32

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no resolver link, observed 2026-08-07T23:47:03.620887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:47:03.620887Z digest=sha256:c859e32bbc06160090138ac044dd689a280895bbc166c81275358f8ddcd4ceb7

Observation 8d0a8f03-3d8b-4838-a10a-02af6b096134 · outbound

This paper cites union-hole.

SR-JEPA: Learning Predictive Latent State in 3D Scenes union-hole

Reference 33

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verified exact
raw_fallback, observed 2026-08-07T23:47:03.732772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Pith citing papers

No inbound Pith citation observations are available.