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Paper Citation Record · LEDGER

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

As of 14 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 2026-08-14T06:32:32.682623+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
  • parse uncertain0
  • malformed identifier0
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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 2026-08-14T06:32:32.682623+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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raw_fallback, observed 2026-08-07T23:47:04.246442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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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no resolver link, observed 2026-08-07T23:47:03.467935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:47:03.467935Z digest=sha256:79ada7c8991038533a53082f9dab28ece43464f19fa1c1b70dbeee2d1c500bfa

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T23:47:03.473563Z digest=sha256:5a4c66bd52a00ed239e280e2c243d093f79a129d2aa8d75f3b0a404221b990aa

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+00:00.

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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 2026-08-14T06:32:32.682623+00:00.

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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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:47:03.495059Z digest=sha256:49a9652db089e83b0f356b586e3cded9920c9819b40ca670e5a47d70f1134cc6

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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raw_fallback, observed 2026-08-07T23:47:04.156487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T23:47:03.500358Z digest=sha256:232991f71feda70269ddf987673d3e3cea55a38c09ee740657a3974fb4893873

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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source=pdf_text observed=2026-08-07T23:47:03.505365Z digest=sha256:c8e2e2f6e8cc31ea3e602a2fdc2d964e3cc5c1b619afaf90455a581f6d86799c

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

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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 2026-08-14T06:32:32.682623+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:a683dc070fcbdf60a244a1e6d28a182be0317b6810a9c9ceca503b192f8f97e6

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T23:47:03.522105Z digest=sha256:ddcd09932f9a547c1c96e6169982415ac1b3621b63644cf1bb127e2c9d9e6ffb

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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raw_fallback, observed 2026-08-07T23:47:04.104866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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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raw_fallback, observed 2026-08-07T23:47:04.076019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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=sha256:2345171b178a65171bd3a98e06ac7f893d85e8ef98d01ad55649722c7e43ac74

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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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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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 2026-08-14T06:32:32.682623+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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raw_fallback, observed 2026-08-07T23:47:04.030235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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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raw_fallback, observed 2026-08-07T23:47:04.000798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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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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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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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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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verified fuzzy
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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T23:47:03.607166Z digest=sha256:e0b2dfb5aad268fc39ece6d050dcaef6dd8781c5bcae24c98e6d2a4e5b29ec4c

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T23:47:03.612436Z digest=sha256:df578b6d5be64605d479868a75b57978d11a2d063908007061680961ebd3db45

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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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=sha256:3f7f87a0a48bd03ee709b61fb644d9de0e665b26be5a876549c817816242ddc3

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=sha256:0294431e3b5e7693c22be3dd4068474d0efc22ee046ca375074376ac0f4829af

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 2026-08-14T06:32:32.682623+00:00.

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Pith citing papers

No inbound Pith citation observations are available.