Paper Citation Record · LEDGER

Observable- and Positional-Encoding-Dependent Symmetry Readout from Neural Network Weights

As of 23 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2607.03108.

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

pith.paper-citation-record.v1
2607.03108 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T04:51:08.903724Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

24 of 24 outbound references displayed

verified exact0
verified fuzzy0
unresolved24
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8323e7b4-d4ee-4e63-abb8-0e2e8696644f · outbound

This paper cites Implicit regularization in deep matrix factorization.

Observable- and Positional-Encoding-Dependent Symmetry Readout from Neural Network Weights Implicit regularization in deep matrix factorization

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-12T04:51:08.903724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93eb368c-5a05-47e2-a653-5bfc559416ef · outbound

This paper cites Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges.

Observable- and Positional-Encoding-Dependent Symmetry Readout from Neural Network Weights Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-12T04:51:08.903724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d912d22-a04c-4107-b996-be4bcd6ac0f6 · outbound

This paper cites Group equivariant convolutional networks.

Observable- and Positional-Encoding-Dependent Symmetry Readout from Neural Network Weights Group equivariant convolutional networks

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-12T04:51:08.903724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1cbc51b-6ba5-4636-937a-184c504880f4 · outbound

This paper cites Deep learning on implicit neural representations of shapes.

Observable- and Positional-Encoding-Dependent Symmetry Readout from Neural Network Weights Deep learning on implicit neural representations of shapes

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-12T04:51:08.903724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1ff247a-dc5d-42c4-8e3c-eef1772e2809 · outbound

This paper cites Automatic symmetry discovery with lie algebra convolutional network.

Observable- and Positional-Encoding-Dependent Symmetry Readout from Neural Network Weights Automatic symmetry discovery with lie algebra convolutional network

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-12T04:51:08.903724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf744a34-1b13-425f-b1a9-f2edf3f7f3d4 · outbound

This paper cites an unresolved cited work.

Observable- and Positional-Encoding-Dependent Symmetry Readout from Neural Network Weights Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-12T04:51:08.903724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 233fa43d-6204-4192-8485-768d2d46cb7a · outbound

This paper cites On the symmetries of deep learning models and their internal representations.

Observable- and Positional-Encoding-Dependent Symmetry Readout from Neural Network Weights On the symmetries of deep learning models and their internal representations

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-12T04:51:08.903724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 955f0176-ddde-47c5-b187-eeadf5ff698d · outbound

This paper cites Symmetry Discovery for Different Data Types.

Observable- and Positional-Encoding-Dependent Symmetry Readout from Neural Network Weights Symmetry Discovery for Different Data Types

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-12T04:51:08.903724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 092c6059-e23a-4884-bc87-ae559a476d0d · outbound

This paper cites Kingma and Jimmy Ba.

Observable- and Positional-Encoding-Dependent Symmetry Readout from Neural Network Weights Kingma and Jimmy Ba

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-12T04:51:08.903724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06a682f0-2fc8-42b8-abec-89710ce3d96f · outbound

This paper cites SGDR: Stochastic gradient descent with warm restarts.

Observable- and Positional-Encoding-Dependent Symmetry Readout from Neural Network Weights SGDR: Stochastic gradient descent with warm restarts

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-12T04:51:08.903724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92f5638b-5401-4e65-b38d-2fea033f6fdd · outbound

This paper cites Srinivasan, Matthew Tancik, Jonathan T.

Observable- and Positional-Encoding-Dependent Symmetry Readout from Neural Network Weights Srinivasan, Matthew Tancik, Jonathan T

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-12T04:51:08.903724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09aba1a5-6b5b-4131-8cdc-700b1b2f0d11 · outbound

This paper cites Liegg: studying learned lie group generators.

Observable- and Positional-Encoding-Dependent Symmetry Readout from Neural Network Weights Liegg: studying learned lie group generators

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-12T04:51:08.903724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bee0bdcd-ae49-4fc2-bf82-4274ffad8fc1 · outbound

This paper cites Equivariant architectures for learning in deep weight spaces.

Observable- and Positional-Encoding-Dependent Symmetry Readout from Neural Network Weights Equivariant architectures for learning in deep weight spaces

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-12T04:51:08.903724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15c3d6ad-18ca-485a-bce0-c7b64b61f69d · outbound

This paper cites Hamprecht, Yoshua Bengio, and Aaron Courville.

Observable- and Positional-Encoding-Dependent Symmetry Readout from Neural Network Weights Hamprecht, Yoshua Bengio, and Aaron Courville

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-12T04:51:08.903724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d22922a5-3370-4948-b2dd-222c0bee8f63 · outbound

This paper cites Random features for large-scale kernel machines.

Observable- and Positional-Encoding-Dependent Symmetry Readout from Neural Network Weights Random features for large-scale kernel machines

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-12T04:51:08.903724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f524a5c4-59c0-457f-96c6-ebf1df184a5a · outbound

This paper cites E(n) equivariant graph neural networks.

Observable- and Positional-Encoding-Dependent Symmetry Readout from Neural Network Weights E(n) equivariant graph neural networks

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-12T04:51:08.903724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 538cd878-b5de-41ae-9c59-9907cf0636a7 · outbound

This paper cites Saxe, James L.

Observable- and Positional-Encoding-Dependent Symmetry Readout from Neural Network Weights Saxe, James L

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-12T04:51:08.903724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a5a2f09-3de2-4a19-94da-226b71f9aabd · outbound

This paper cites Schönemann.

Observable- and Positional-Encoding-Dependent Symmetry Readout from Neural Network Weights Schönemann

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-12T04:51:08.903724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d95d5725-b966-4695-baa6-f94da3183ed2 · outbound

This paper cites an unresolved cited work.

Observable- and Positional-Encoding-Dependent Symmetry Readout from Neural Network Weights Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-12T04:51:08.903724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5fee03c-340d-4cc4-91be-771d73df20f4 · outbound

This paper cites Srinivasan, Ben Mildenhall, Sara Fridovich-Keil, Nithin Raghavan, Utkarsh Singhal, Ravi Ramamoorthi, Jonathan T.

Observable- and Positional-Encoding-Dependent Symmetry Readout from Neural Network Weights Srinivasan, Ben Mildenhall, Sara Fridovich-Keil, Nithin Raghavan, Utkarsh Singhal, Ravi Ramamoorthi, Jonathan T

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-12T04:51:08.903724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a4cacd0-c2c7-4153-9d18-3e0035f80266 · outbound

This paper cites General e(2)-equivariant steerable cnns.

Observable- and Positional-Encoding-Dependent Symmetry Readout from Neural Network Weights General e(2)-equivariant steerable cnns

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-12T04:51:08.903724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e87d653-410b-4765-95b5-6191a88fb2fb · outbound

This paper cites Group representational position embedding.

Observable- and Positional-Encoding-Dependent Symmetry Readout from Neural Network Weights Group representational position embedding

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-12T04:51:08.903724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3453fb6-a078-4e92-a8d1-3a926df94e29 · outbound

This paper cites Symmetry in neural network parameter spaces.Transac- tions on Machine Learning Research, 2026.

Observable- and Positional-Encoding-Dependent Symmetry Readout from Neural Network Weights Symmetry in neural network parameter spaces.Transac- tions on Machine Learning Research, 2026

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-12T04:51:08.903724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2521a33-80e7-40bc-b476-70eada18c351 · outbound

This paper cites Parameter Symmetry Potentially Unifies Deep Learning Theory.

Observable- and Positional-Encoding-Dependent Symmetry Readout from Neural Network Weights Parameter Symmetry Potentially Unifies Deep Learning Theory

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-12T04:51:08.903724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.