Pith. sign in

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
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:47:04.260610Z

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=2026-08-07T23:47:03.448929Z digest=sha256:17df8889e1155e7fc7f800383d28cd57e241ce011d99ab798449b54e6336300b

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

Resolution
verified fuzzy
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T23:47:03.455946Z digest=sha256:f685913e83b73644cde176c75014518c392e5a75decf2411abba66ec1cbd5377

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:47:04.231903Z

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=2026-08-07T23:47:03.461963Z digest=sha256:ad93510b33271eae9810221f42993964b3dc02812dbbb34c25a7fc641fcf679c

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

Resolution
unresolved
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:ff12a28a392c88553ddd643b89d148e30d1ae80da27b008e67cba10c697d227b

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:47:04.216037Z

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=sha256:1c8956c6f71afc5b264a49a443ae04c093ed5f8e782ad85284ef6d2f44f228ee

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

Resolution
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.

source=pdf_text observed=2026-08-07T23:47:03.478952Z digest=sha256:d639c78acc325e6a237101ac6f78a86be364bba20a821be13c3977cf0d6ba27f

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:47:04.185907Z

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=sha256:05b0aa3bd48dbb33921492ec75671b7a728779d6f9af2d2ef8dec2c4dd82e376

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

Resolution
verified fuzzy
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=sha256:884fb8a5e994de513da73dded4de4e9bfd1b6cad2c0239c07e32cce4631fba54

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

Resolution
unresolved
no resolver link, observed 2026-08-07T23:47:03.495059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:47:03.495059Z digest=sha256:313749f99445a4b95e3a083c9fdc3e602993692057ff6c4044a7bc0645215adc

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

Resolution
verified fuzzy
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T23:47:03.500358Z digest=sha256:6f6717d215e65952d83ff305730c7daaf56e657ffa7cd550922fbb5d3c5fbb55

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

Resolution
unresolved
no resolver link, observed 2026-08-07T23:47:03.505365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:47:03.505365Z digest=sha256:2c8ad921d787a3bd138da1a2140fa2f69c46a92e3a145ff0b3b8be7459a6183c

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.

source=pdf_text observed=2026-08-07T23:47:03.510745Z digest=sha256:c3e926eac963391cecd11860b7fed814eb2b27b283c73061747160667579805e

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

Resolution
unresolved
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:ba350757cf9aabdd9fee333d4c8a18be71ad279fbe50e3ae145995fa5acf1ea9

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

Resolution
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.

source=pdf_text observed=2026-08-07T23:47:03.522105Z digest=sha256:b384583130c30f7bb4f3e85bb22dcfb3d895ebe9d23eba8ee0e94831db349617

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

Resolution
verified fuzzy
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T23:47:03.527123Z digest=sha256:a40255ca58211e49627289cef20a54db6a55a20d3fc156dff18b9db4454e81da

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:47:04.090656Z

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=2026-08-07T23:47:03.533513Z digest=sha256:728a242720f7e1c975439a73c8c20de4133753d7daed7e0d6e1a993d9d605010

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

Resolution
verified fuzzy
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T23:47:03.538640Z digest=sha256:1658dca389d3974310b4d78363dac7f13f4da7c35ce1d39e1d472f55c745154c

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

Resolution
verified fuzzy
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.

source=pdf_text observed=2026-08-07T23:47:03.544207Z digest=sha256:6b34962a61a40f1fa3ceb04982f652747e3f2b6cc815692662cbd5c03d0bcce6

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

Resolution
unresolved
no resolver link, observed 2026-08-07T23:47:03.549339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:47:03.549339Z digest=sha256:e38d5085e6ea274e5fd93d9c417125b6ebcd8b0c5d3709a9540145d591a6f687

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

Resolution
unresolved
no resolver link, observed 2026-08-07T23:47:03.555333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:47:03.555333Z digest=sha256:4eb2bd6ea4de97076536157ef9f94b677dfc926bc7630f83d712c5c9ffd19fa4

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

Resolution
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.

source=pdf_text observed=2026-08-07T23:47:03.560961Z digest=sha256:f626c207e4ca66a025d2ade912cd5a88dddcbbd6fe807e696d19fd7da28547d0

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

Resolution
verified fuzzy
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T23:47:03.566233Z digest=sha256:ebd812cc030a233218a5b0fd72013c84b0fc6f11dae72e586e7e40f873a3b736

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

Resolution
verified fuzzy
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.

source=pdf_text observed=2026-08-07T23:47:03.571384Z digest=sha256:cb69576ec3df74b7c9d0f5f92ae131eabbf9d6169a9df2aebf9488274a6d8f4c

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

Resolution
verified fuzzy
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T23:47:03.577858Z digest=sha256:0178622a15afd964c98e6eeb8af8dd7275ba140d6b2ab5fbc194a509d99c6d93

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

Resolution
verified fuzzy
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.

source=pdf_text observed=2026-08-07T23:47:03.583014Z digest=sha256:103ed4c8108d989e0175150ca226e377532b7fa6b7a184b8f54d4984f3b953e7

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:47:03.591061Z digest=sha256:03536c4103a0672dabb631f0c27be27d8afe775a8ebeaa884ad99d25217efd3e

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

Resolution
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.

source=pdf_text observed=2026-08-07T23:47:03.596281Z digest=sha256:9c3ef58664c0b6cabc3f26e2f19f9a2991e018e31c470804a7989e53d85e1a3c

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

Resolution
verified fuzzy
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.

source=pdf_text observed=2026-08-07T23:47:03.601707Z digest=sha256:a4fcab802369878628bd18b0d460ac2c6a64a72faf7fe0ffe959266c97c51467

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T23:47:03.607166Z digest=sha256:a8a13b90044f812050930867a051316a8c7efaa0f782f00f42007e59a9c00f7b

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

Resolution
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:f305803720c8de76e2b270e7ea689d1fe54ef4251934beaa8c9efa4b45393c50

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

Resolution
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=sha256:0a7986cf94264d3d8295968b304014813afb3666f5a01c16f13b18b35d1a9f51

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

Resolution
unresolved
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=sha256:3d2a1332538b8dad1c7fc2c6e60226add645414d0e3a563e9e340bed9b7adc93

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

Resolution
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.

source=pdf_text observed=2026-08-07T23:47:03.627074Z digest=sha256:4155f7db0413b691c1e4c0812618c894be690e23642b1030f0ce5dafb81ae1f1

Pith citing papers

No inbound Pith citation observations are available.