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Paper Citation Record · LEDGER

SJEPA: Learning Elegant Latent Dynamics with Hybrid Symbolic-Neural Predictors

As of 18 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2608.04060.

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

pith.paper-citation-record.v1
2608.04060 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T00:50:22.809973Z

measured 43 of 43 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 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

43 of 43 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 739c8f12-ed51-4723-b146-609c3407b43b · outbound

This paper cites 2022 , howpublished =.

SJEPA: Learning Elegant Latent Dynamics with Hybrid Symbolic-Neural Predictors 2022 , howpublished =

Reference 1

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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 2026-08-18T06:34:40.430872+00:00.

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Observation 5e5a2cc0-4741-4b30-bba8-15e95ef93125 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages =.

SJEPA: Learning Elegant Latent Dynamics with Hybrid Symbolic-Neural Predictors Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages =

Reference 2

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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 2026-08-18T06:34:40.430872+00:00.

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Observation ec32a1f7-0720-4e76-98ab-3377ef069e00 · outbound

This paper cites Transactions on Machine Learning Research , issn=.

SJEPA: Learning Elegant Latent Dynamics with Hybrid Symbolic-Neural Predictors Transactions on Machine Learning Research , issn=

Reference 3

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Source-reported events for the cited work

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

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Observation 318e472a-dbf1-457b-98a0-1bec13b2d4bd · outbound

This paper cites 2025 , eprint=.

SJEPA: Learning Elegant Latent Dynamics with Hybrid Symbolic-Neural Predictors 2025 , eprint=

Reference 4

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-08T00:50:22.671902Z digest=sha256:05a836d0b8cf7e70fd0d0301d91b0fd4ab1a21ad8b1845af8f9cd567a4081aa9

Observation 6b828cd4-9cb3-436f-9509-82ab34109835 · outbound

This paper cites , title =.

SJEPA: Learning Elegant Latent Dynamics with Hybrid Symbolic-Neural Predictors , title =

Reference 5

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-08T00:50:22.675654Z digest=sha256:14a66e764caefdf9a002ab36ed057b3d27f940a5d46e8b69aee3d8dc21039987

Observation 5135d816-73ec-42a3-9b63-00ed7ff4eb3c · outbound

This paper cites Science , volume =.

SJEPA: Learning Elegant Latent Dynamics with Hybrid Symbolic-Neural Predictors Science , volume =

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8439b639-783c-43ee-b8cf-7bb6e397740e · outbound

This paper cites Brunton and Joshua L.

SJEPA: Learning Elegant Latent Dynamics with Hybrid Symbolic-Neural Predictors Brunton and Joshua L

Reference 7

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-08T00:50:22.683625Z digest=sha256:20dd18c8e955100ed86a54ff1f260531dd3969d33afb29dcd8efd646c1e88f24

Observation 5615d3c3-52da-4e75-a87f-600ed7cac585 · outbound

This paper cites and Kutz, J.

SJEPA: Learning Elegant Latent Dynamics with Hybrid Symbolic-Neural Predictors and Kutz, J

Reference 8

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no resolver link, observed 2026-08-08T00:50:22.687897Z

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source=arxiv_source observed=2026-08-08T00:50:22.687897Z digest=sha256:35bd6cbea03005f9214edc3d91fae4b87fe6bf9f03b0dfcca3125e84e3faea3b

Observation ea88093b-e2f0-4109-a0c5-83af82d4f691 · outbound

This paper cites Proceedings of the 34th International Conference on Neural Information Processing Systems , articleno =.

SJEPA: Learning Elegant Latent Dynamics with Hybrid Symbolic-Neural Predictors Proceedings of the 34th International Conference on Neural Information Processing Systems , articleno =

Reference 9

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Observation 0206738d-879c-46f1-be81-1ac24d269716 · outbound

This paper cites International Conference on Learning Representations , year=.

SJEPA: Learning Elegant Latent Dynamics with Hybrid Symbolic-Neural Predictors International Conference on Learning Representations , year=

Reference 10

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Observation 3d045fb2-06eb-4f2f-98d3-d4d3071901fd · outbound

This paper cites Proceedings of the 38th International Conference on Machine Learning , series =.

SJEPA: Learning Elegant Latent Dynamics with Hybrid Symbolic-Neural Predictors Proceedings of the 38th International Conference on Machine Learning , series =

Reference 11

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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.

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Observation b33f7c3e-7d3f-4ec7-8fc9-feb959aa5e35 · outbound

This paper cites 2023 , eprint=.

SJEPA: Learning Elegant Latent Dynamics with Hybrid Symbolic-Neural Predictors 2023 , eprint=

Reference 12

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Observation 0f4f0f22-1b1b-49b9-b1e3-c08c353e9c4a · outbound

This paper cites an unresolved cited work.

SJEPA: Learning Elegant Latent Dynamics with Hybrid Symbolic-Neural Predictors Unresolved cited work

Reference 13

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Unavailable: canonical work link unavailable.

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Observation cc9c27f6-eb0a-4e09-924f-5eaa1a1222d3 · outbound

This paper cites Recurrent World Models Facilitate Policy Evolution , url =.

SJEPA: Learning Elegant Latent Dynamics with Hybrid Symbolic-Neural Predictors Recurrent World Models Facilitate Policy Evolution , url =

Reference 14

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Observation 6976896a-bd59-4ea4-b6e3-9723b09a6d45 · outbound

This paper cites PLOS ONE , publisher =.

SJEPA: Learning Elegant Latent Dynamics with Hybrid Symbolic-Neural Predictors PLOS ONE , publisher =

Reference 15

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source=arxiv_source observed=2026-08-08T00:50:22.710845Z digest=sha256:e02faa2012d1ea6ae90f7069530ec049f52eb002356a4c788c37d499ab9d4fde

Observation d71de06a-27a1-4104-b7b1-b4e7d8aa14f3 · outbound

This paper cites Nathan and Brunton, Steven L.

SJEPA: Learning Elegant Latent Dynamics with Hybrid Symbolic-Neural Predictors Nathan and Brunton, Steven L

Reference 16

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unresolved
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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T00:50:22.714388Z digest=sha256:88f1c70b2445163650ade17d4d60b443510a9ea5cbbd37ed23131b5c8bc34663

Observation 9fabff64-306d-4fe1-b9b8-c8d5b6c7cc78 · outbound

This paper cites Pereira and William Bialek , title =.

SJEPA: Learning Elegant Latent Dynamics with Hybrid Symbolic-Neural Predictors Pereira and William Bialek , title =

Reference 17

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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 2026-08-18T06:34:40.430872+00:00.

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Observation 488f3ffd-ef83-4917-bdac-847ba8c9d006 · outbound

This paper cites International Conference on Learning Representations , year=.

SJEPA: Learning Elegant Latent Dynamics with Hybrid Symbolic-Neural Predictors International Conference on Learning Representations , year=

Reference 18

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Observation fbe1b6f7-94fc-48a8-a2db-cd3c1a7c3a78 · outbound

This paper cites 2022 , url=.

SJEPA: Learning Elegant Latent Dynamics with Hybrid Symbolic-Neural Predictors 2022 , url=

Reference 19

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Observation eff67541-783f-42a1-8eae-eb8970296161 · outbound

This paper cites Barlow Twins: Self-Supervised Learning via Redundancy Reduction , booktitle =.

SJEPA: Learning Elegant Latent Dynamics with Hybrid Symbolic-Neural Predictors Barlow Twins: Self-Supervised Learning via Redundancy Reduction , booktitle =

Reference 20

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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.

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Observation d3bdb72d-7787-4ef8-80d0-e36551e79d05 · outbound

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

SJEPA: Learning Elegant Latent Dynamics with Hybrid Symbolic-Neural Predictors Bootstrap your own latent a new approach to self-supervised learning , year =

Reference 21

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Observation c8f3c6c5-5d16-4ed0-98e3-e6cf8da9be5c · outbound

This paper cites International Conference on Learning Representations , year=.

SJEPA: Learning Elegant Latent Dynamics with Hybrid Symbolic-Neural Predictors International Conference on Learning Representations , year=

Reference 22

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no resolver link, observed 2026-08-08T00:50:22.734049Z

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Observation dba3eb9b-1128-4e79-98dd-3995c6c3b6e8 · outbound

This paper cites Emerging Properties in Self-Supervised Vision Transformers , booktitle =.

SJEPA: Learning Elegant Latent Dynamics with Hybrid Symbolic-Neural Predictors Emerging Properties in Self-Supervised Vision Transformers , booktitle =

Reference 23

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

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Observation 3dc09b92-5853-4610-b6c8-82a3425a02fd · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , month =.

SJEPA: Learning Elegant Latent Dynamics with Hybrid Symbolic-Neural Predictors Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , month =

Reference 24

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Observation 9b46cca5-8342-4ef1-b77c-922d9ff21d72 · outbound

This paper cites International Conference on Learning Representations , year=.

SJEPA: Learning Elegant Latent Dynamics with Hybrid Symbolic-Neural Predictors International Conference on Learning Representations , year=

Reference 25

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

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Observation 7f92cddc-774b-4b07-b787-69159fd079ef · outbound

This paper cites Bear and Elias Wang and Damian Mrowca and Felix Binder and Hsiao-Yu Fish Tung and R.

SJEPA: Learning Elegant Latent Dynamics with Hybrid Symbolic-Neural Predictors Bear and Elias Wang and Damian Mrowca and Felix Binder and Hsiao-Yu Fish Tung and R

Reference 26

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

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Observation 199b6887-ff95-4fae-9e1e-e09e13f545f6 · outbound

This paper cites 2018 , eprint=.

SJEPA: Learning Elegant Latent Dynamics with Hybrid Symbolic-Neural Predictors 2018 , eprint=

Reference 27

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Observation b4e3b538-a3e9-4810-8dd7-d3f1077d3b9f · outbound

This paper cites PDEBENCH: an extensive benchmark for scientific machine learning , year =.

SJEPA: Learning Elegant Latent Dynamics with Hybrid Symbolic-Neural Predictors PDEBENCH: an extensive benchmark for scientific machine learning , year =

Reference 28

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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 2026-08-18T06:34:40.430872+00:00.

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Observation 496313d2-b4f6-4c5e-96ee-576cf4d1bf1e · outbound

This paper cites Nathan Kutz and Steven L.

SJEPA: Learning Elegant Latent Dynamics with Hybrid Symbolic-Neural Predictors Nathan Kutz and Steven L

Reference 29

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Observation e208b48f-eae4-4945-876c-f26aa42a1dd0 · outbound

This paper cites Mars and Kutz, J.

SJEPA: Learning Elegant Latent Dynamics with Hybrid Symbolic-Neural Predictors Mars and Kutz, J

Reference 30

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Observation 1e6db6ce-26f0-40a5-8363-2eabfa7fe4c1 · outbound

This paper cites 2026 , eprint=.

SJEPA: Learning Elegant Latent Dynamics with Hybrid Symbolic-Neural Predictors 2026 , eprint=

Reference 31

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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 2026-08-18T06:34:40.430872+00:00.

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Observation 2cdb5682-b3ff-40a6-abad-24c8017d6476 · outbound

This paper cites 2025 , eprint=.

SJEPA: Learning Elegant Latent Dynamics with Hybrid Symbolic-Neural Predictors 2025 , eprint=

Reference 32

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Source-reported events for the cited work

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Observation e8406a8b-d3c2-4836-b26f-0ec31ed6df7a · outbound

This paper cites 2026 , eprint=.

SJEPA: Learning Elegant Latent Dynamics with Hybrid Symbolic-Neural Predictors 2026 , eprint=

Reference 33

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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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-08T00:50:22.774418Z digest=sha256:09f483c97514c231aba0f3d8eb411ab8d381c4dde18af9d91fcd07a1eefaacc1

Observation 3178cf33-52fd-4bb8-8596-aa1ac146afbf · outbound

This paper cites On the Information Bottleneck of.

SJEPA: Learning Elegant Latent Dynamics with Hybrid Symbolic-Neural Predictors On the Information Bottleneck of

Reference 34

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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.

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Observation b84a3352-5b3e-47b7-99da-d6c9ff6a76e7 · outbound

This paper cites Knowledge, Rules and Their Embeddings: Two Paths towards Neuro-Symbolic.

SJEPA: Learning Elegant Latent Dynamics with Hybrid Symbolic-Neural Predictors Knowledge, Rules and Their Embeddings: Two Paths towards Neuro-Symbolic

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-08T00:50:23.184740Z

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.

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Observation 43502c9d-533c-4ed5-b868-0e326e4b1522 · outbound

This paper cites an unresolved cited work.

SJEPA: Learning Elegant Latent Dynamics with Hybrid Symbolic-Neural Predictors Unresolved cited work

Reference 36

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source=arxiv_source observed=2026-08-08T00:50:22.785062Z digest=sha256:b34ce9b0746f3a71b18f20d6496de0260051f6112d368cd1aef253efeb9e3a21

Observation 35c5073a-b17e-4330-bd65-539bc99648d1 · outbound

This paper cites 2023 , eprint=.

SJEPA: Learning Elegant Latent Dynamics with Hybrid Symbolic-Neural Predictors 2023 , eprint=

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:50:23.171313Z

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.

source=arxiv_source observed=2026-08-08T00:50:22.788405Z digest=sha256:88b42a5be03ff0abfa41a6139dcfee073a9a137e920fb6c5e7231cd7096059cc

Observation 23b25358-b1ce-4c05-ab1e-9d56e84e6e57 · outbound

This paper cites 2025 , eprint=.

SJEPA: Learning Elegant Latent Dynamics with Hybrid Symbolic-Neural Predictors 2025 , eprint=

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:50:23.158127Z

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.

source=arxiv_source observed=2026-08-08T00:50:22.792038Z digest=sha256:1f6e2df92a7941e63ddd2cba0eb922774e697da5257fdfd4fa1df461eeb6e77a

Observation d07ca296-bbb0-4463-879e-7033fcf64f6e · outbound

This paper cites IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) , year=.

SJEPA: Learning Elegant Latent Dynamics with Hybrid Symbolic-Neural Predictors IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) , year=

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:50:23.146753Z

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.

source=arxiv_source observed=2026-08-08T00:50:22.795436Z digest=sha256:2d425b2d59a51f7c4f4de25e48e312fd23cf6a8884c17c50e498bb2ff85366f4

Observation 469c8cd5-327c-4931-8e29-262558b67a08 · outbound

This paper cites 2024 , eprint=.

SJEPA: Learning Elegant Latent Dynamics with Hybrid Symbolic-Neural Predictors 2024 , eprint=

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:50:23.134170Z

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.

source=arxiv_source observed=2026-08-08T00:50:22.798643Z digest=sha256:42c2a7803651a4bf2ff9045e0323573eba9243104494f9a42ab606ef0dd9f198

Observation 126e7235-713e-4f09-a302-3521c8d41111 · outbound

This paper cites 2026 , eprint=.

SJEPA: Learning Elegant Latent Dynamics with Hybrid Symbolic-Neural Predictors 2026 , eprint=

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:50:23.122928Z

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.

source=arxiv_source observed=2026-08-08T00:50:22.801811Z digest=sha256:fa145066bd6b12c03dc3bc7364ae1c5678e678fba7a198db22152dda49cb63b1

Observation f75247ba-bceb-4f89-bd84-eb8ed2c90354 · outbound

This paper cites ACT-JEPA: Novel Joint-Embedding Predictive Architecture for Efficient Policy Representation Learning.

SJEPA: Learning Elegant Latent Dynamics with Hybrid Symbolic-Neural Predictors ACT-JEPA: Novel Joint-Embedding Predictive Architecture for Efficient Policy Representation Learning

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-08T00:50:22.805190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T00:50:22.805190Z digest=sha256:a46d993f65e2139ee95cd198e6fb23e31ab4e669ecc4b0e3ab3531041543d4dc

Observation 9ebd266e-35d0-4287-9b44-7d5b8581aa94 · outbound

This paper cites 2026 , url=.

SJEPA: Learning Elegant Latent Dynamics with Hybrid Symbolic-Neural Predictors 2026 , url=

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:50:23.111405Z

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.

source=arxiv_source observed=2026-08-08T00:50:22.809973Z digest=sha256:e79c556878e3271ac4468db665e77253bf6b5ebea60b20dcdd49cd3ecaddc42e

Pith citing papers

No inbound Pith citation observations are available.