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Paper Citation Record · LEDGER

Incorporating Symmetry into Deep Dynamics Models for Improved Generalization

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2002.03061.

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

pith.paper-citation-record.v1
2002.03061 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:32:14.596498Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-20T12:33:16.966030Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 81166c24-7b29-4a3b-bda1-32b782dd7d8d · inbound

Governing Equation Discovery from Data Based on Differential Invariants cites this paper.

Governing Equation Discovery from Data Based on Differential Invariants Incorporating Symmetry into Deep Dynamics Models for Improved Generalization

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-07T14:32:14.596498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:32:14.596498Z digest=sha256:e62e1372ef0700dc0b62913fc7e862ef03dacbeb91258a7e54f5774b249097b5

Observation a3f1aa91-76af-4624-b6d0-2d936273117c · inbound

Representation Learning for Equivariant Inference with Guarantees cites this paper.

Representation Learning for Equivariant Inference with Guarantees Incorporating Symmetry into Deep Dynamics Models for Improved Generalization

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-07T14:14:52.841417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:14:52.841417Z digest=sha256:d29f78cb48d0698326bc7ea2d5b5d988dc54d0ab78458bfdac8e0fe6731b751b

Observation 9fab6210-a544-4e2a-99f3-3db6d0917623 · inbound

SlotPi: Physics-informed Object-centric Reasoning Models cites this paper.

SlotPi: Physics-informed Object-centric Reasoning Models Incorporating Symmetry into Deep Dynamics Models for Improved Generalization

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-07T04:25:21.201331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:25:21.201331Z digest=sha256:a9baee86d55ff6447d726b988fa04f6a055772d5ad464a64e1f02940056175e3

Observation 7b46fbc2-6ddd-4c85-b98c-25b677fb39a9 · inbound

Diffeomorphic Neural Operator Learning cites this paper.

Diffeomorphic Neural Operator Learning Incorporating Symmetry into Deep Dynamics Models for Improved Generalization

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-05T22:39:54.578893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:39:54.578893Z digest=sha256:790af3220bf1f7720b7ceeba319eb525ab24d9439c090f393c0c8dcd97d77e51

Observation cd063b57-8b2c-4c2a-b016-81183d45f1a0 · inbound

Physics-Aligned Canonical Equivariant Fourier Neural Operator under Symmetry-Induced Shifts cites this paper.

Physics-Aligned Canonical Equivariant Fourier Neural Operator under Symmetry-Induced Shifts Incorporating Symmetry into Deep Dynamics Models for Improved Generalization

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-20T12:33:16.967809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-20T12:29:31.877451Z digest=sha256:8fa195fa65b778eb0ecdb3a5ddce3f626c51df1367a3dc3dc78baf61ff0679bd

Observation 4528d0ae-b565-4c40-8d58-749c740474c2 · inbound

LieStoNet: Learning Lie Symmetries from Spatiotemporal Data for Stochastic Dynamical Systems cites this paper.

LieStoNet: Learning Lie Symmetries from Spatiotemporal Data for Stochastic Dynamical Systems Incorporating Symmetry into Deep Dynamics Models for Improved Generalization

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-05T00:46:52.147626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:46:52.147626Z digest=sha256:b8e184a7b4b6fec74afd0d8bcc5baecb9459720602859ab9995d04fe69a2aceb