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Paper Citation Record · LEDGER

Learning Broken Symmetries with Approximate Invariance

As of 11 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 1 inbound Pith citation observation for arXiv:2412.18773.

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

pith.paper-citation-record.v1
2412.18773 v2

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T04:33:45.124965Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T02:35:29.440214Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

35 of 35 outbound references displayed

  • verified exact2
  • verified fuzzy13
  • unresolved19
  • parse uncertain0
  • malformed identifier1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8198e35c-18b4-458a-afb9-a3f516236404 · outbound

This paper cites Baldi, P.

Learning Broken Symmetries with Approximate Invariance Baldi, P

Reference 1

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Observation c337ab43-26e8-46e8-a19f-ff9197130957 · outbound

This paper cites de Oliveira, M.

Learning Broken Symmetries with Approximate Invariance de Oliveira, M

Reference 2

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Observation 2cbe19cf-f9a0-4fa2-8a40-4b8d24b5c569 · outbound

This paper cites A Living Review of Machine Learning for Particle Physics.

Learning Broken Symmetries with Approximate Invariance A Living Review of Machine Learning for Particle Physics

Reference 3

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Observation e6fdc67a-b1fd-4ccd-9e0d-b93d5801459a · outbound

This paper cites Alzubaidi, J.

Learning Broken Symmetries with Approximate Invariance Alzubaidi, J

Reference 4

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Observation 88c0972d-73bb-43f0-a7d8-162e9d53009f · outbound

This paper cites Cohen and M.

Learning Broken Symmetries with Approximate Invariance Cohen and M

Reference 5

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Observation d5f3d685-7781-45e1-aa25-2503d3674dff · outbound

This paper cites Agrawal, J.

Learning Broken Symmetries with Approximate Invariance Agrawal, J

Reference 6

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Observation 369301e3-3931-4c91-9092-b1d98a6eb8fe · outbound

This paper cites Gens and P.

Learning Broken Symmetries with Approximate Invariance Gens and P

Reference 7

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 6fb1ebfb-ec63-4507-aa78-89d7b49da754 · outbound

This paper cites PELICAN: Permutation Equivariant and Lorentz Invariant or Covariant Aggregator Network for Particle Physics.

Learning Broken Symmetries with Approximate Invariance PELICAN: Permutation Equivariant and Lorentz Invariant or Covariant Aggregator Network for Particle Physics

Reference 8

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Observation a9c2894e-13cc-4e92-92ee-210a31037388 · outbound

This paper cites Rethinking SO(3)-equivariance with Bilinear Tensor Networks.

Learning Broken Symmetries with Approximate Invariance Rethinking SO(3)-equivariance with Bilinear Tensor Networks

Reference 9

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Observation 517983a1-358b-451b-bdce-ded4989582d9 · outbound

This paper cites Particle Convolution for High Energy Physics.

Learning Broken Symmetries with Approximate Invariance Particle Convolution for High Energy Physics

Reference 10

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Observation 87c2ba9d-edd2-4fc0-a8ee-117fb14f406a · outbound

This paper cites Bogatskiy et al., in Snowmass 2021 (2022), arXiv:2203 .06153.

Learning Broken Symmetries with Approximate Invariance Bogatskiy et al., in Snowmass 2021 (2022), arXiv:2203 .06153

Reference 11

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Observation 4c0fb954-5707-4528-b79f-280ddc137ff2 · outbound

This paper cites Equivariant Flows: Exact Likelihood Generative Learning for Symmetric Densities.

Learning Broken Symmetries with Approximate Invariance Equivariant Flows: Exact Likelihood Generative Learning for Symmetric Densities

Reference 12

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Observation 617b8911-7408-4ac9-b70d-0c709a118330 · outbound

This paper cites SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks.

Learning Broken Symmetries with Approximate Invariance SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks

Reference 13

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Observation bd6febad-ef87-49b4-8799-f7525198d77a · outbound

This paper cites Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds.

Learning Broken Symmetries with Approximate Invariance Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 14

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Observation 181225d1-01e8-4b2a-a9af-811f4a116829 · outbound

This paper cites Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data.

Learning Broken Symmetries with Approximate Invariance Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data

Reference 15

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Observation a1334e7e-bc52-446e-a4aa-fdb6a208783b · outbound

This paper cites an unresolved cited work.

Learning Broken Symmetries with Approximate Invariance Unresolved cited work

Reference 16

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Observation 456acec3-1f70-4d72-b896-fbc025f17c50 · outbound

This paper cites Butter, G.

Learning Broken Symmetries with Approximate Invariance Butter, G

Reference 17

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation c7f8bc2a-3b04-42b7-90da-682f9fad42b0 · outbound

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Learning Broken Symmetries with Approximate Invariance Unresolved cited work

Reference 18

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Observation aa328683-a652-405f-b8b8-f6e9cb674e13 · outbound

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Learning Broken Symmetries with Approximate Invariance Unresolved cited work

Reference 19

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation aaae69ae-6a6b-490b-9980-792d877d187b · outbound

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Learning Broken Symmetries with Approximate Invariance Unresolved cited work

Reference 20

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Observation d189fff6-03dd-4d8d-8923-ee69012476fd · outbound

This paper cites The Effectiveness of Data Augmentation in Image Classification using Deep Learning.

Learning Broken Symmetries with Approximate Invariance The Effectiveness of Data Augmentation in Image Classification using Deep Learning

Reference 21

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Observation 8c70d461-d419-4147-a78c-6b1a5737a282 · outbound

This paper cites An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution.

Learning Broken Symmetries with Approximate Invariance An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution

Reference 22

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Observation 4058014b-fc29-489f-a25a-11a29199f2ff · outbound

This paper cites Learning Broken Symmetries with Resimulation and Encouraged Invariance.

Learning Broken Symmetries with Approximate Invariance Learning Broken Symmetries with Resimulation and Encouraged Invariance

Reference 23

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation a564d4d2-e5c8-4e77-9434-89ea1f998cad · outbound

This paper cites Alwall, R.

Learning Broken Symmetries with Approximate Invariance Alwall, R

Reference 24

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Observation 0c13bc92-7916-4598-a7b1-cc5f08b9c620 · outbound

This paper cites Aad et al.

Learning Broken Symmetries with Approximate Invariance Aad et al

Reference 25

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Observation bd422594-2581-47dc-91ab-8d21c396594b · outbound

This paper cites An implementation of neural simulation-based inference for parameter estimation in ATLAS.

Learning Broken Symmetries with Approximate Invariance An implementation of neural simulation-based inference for parameter estimation in ATLAS

Reference 26

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Observation 330feb73-c3e4-4851-a88d-d68858e63782 · outbound

This paper cites d ’Ascoli, H.

Learning Broken Symmetries with Approximate Invariance d ’Ascoli, H

Reference 27

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 13e60b6d-5326-4044-8410-548f85a2fe4c · outbound

This paper cites Finzi, G.

Learning Broken Symmetries with Approximate Invariance Finzi, G

Reference 28

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 67627925-6c25-4e3b-99c8-6bc9b1eb3d27 · outbound

This paper cites Bogatskiy, B.

Learning Broken Symmetries with Approximate Invariance Bogatskiy, B

Reference 29

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 2e78f79a-39e9-424c-abcb-61a4f69de92f · outbound

This paper cites Brehmer, V.

Learning Broken Symmetries with Approximate Invariance Brehmer, V

Reference 30

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Observation 0e5a364a-4f9f-4563-938a-7c6fdf509822 · outbound

This paper cites Murnane, S.

Learning Broken Symmetries with Approximate Invariance Murnane, S

Reference 31

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 0a26707a-8e71-49bb-aaf6-62152891e0f4 · outbound

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Learning Broken Symmetries with Approximate Invariance Unresolved cited work

Reference 32

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Observation 89d9fae1-a850-4461-963d-6c1413610fe4 · outbound

This paper cites Decoupled Weight Decay Regularization.

Learning Broken Symmetries with Approximate Invariance Decoupled Weight Decay Regularization

Reference 33

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Observation 983b2a2b-92fb-4daa-8c92-4ddd274e61f2 · outbound

This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.

Learning Broken Symmetries with Approximate Invariance PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 34

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Observation 2387bb19-8615-4345-a7ee-0d212b2d5a08 · outbound

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Learning Broken Symmetries with Approximate Invariance Unresolved cited work

Reference 35

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Pith citing papers

Observation 592ff6e1-ee5c-496d-879e-7dc4cc056429 · inbound

Explicit or Implicit? Encoding Physics at the Precision Frontier cites this paper.

Explicit or Implicit? Encoding Physics at the Precision Frontier Learning Broken Symmetries with Approximate Invariance

Reference 8

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