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Paper Citation Record · LEDGER

TAGTorch: A PyTorch Library for Geometry, Topology, and Symmetry-Aware Machine Learning

As of 4 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2607.28755.

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

pith.paper-citation-record.v1
2607.28755 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T00:30:52.046979Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+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

14 of 14 outbound references displayed

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  • verified fuzzy0
  • unresolved13
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8fb83ff9-8297-4f59-a418-ecda028516b9 · outbound

This paper cites Git Re-Basin: Merging Models modulo Permutation Symmetries.

TAGTorch: A PyTorch Library for Geometry, Topology, and Symmetry-Aware Machine Learning Git Re-Basin: Merging Models modulo Permutation Symmetries

Reference 1

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unresolved
no resolver link, observed 2026-08-03T00:30:51.974177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:30:51.974177Z digest=sha256:6e6596d80c4299a8d05cb48a19490be113963c1e90d1e50dab14ab94900c80ab

Observation a3539472-0378-4c05-95cf-28ab65655924 · outbound

This paper cites Geomstats: A python package for riemannian geometry in machine learning.Journal of Machine Learning Research, 21 (223):1–9, 2020a.

TAGTorch: A PyTorch Library for Geometry, Topology, and Symmetry-Aware Machine Learning Geomstats: A python package for riemannian geometry in machine learning.Journal of Machine Learning Research, 21 (223):1–9, 2020a

Reference 8

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no resolver link, observed 2026-08-03T00:30:52.014827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:30:52.014827Z digest=sha256:c19be435167cd47cd55c21a7d138762cf20386115fed40573723f0839024b6aa

Observation 51f4b2e2-0a89-4eed-bc95-e223136e00e5 · outbound

This paper cites Position: Topological Deep Learning is the New Frontier for Relational Learning.

TAGTorch: A PyTorch Library for Geometry, Topology, and Symmetry-Aware Machine Learning Position: Topological Deep Learning is the New Frontier for Relational Learning

Reference 9

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unresolved
no resolver link, observed 2026-08-03T00:30:52.019858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:30:52.019858Z digest=sha256:663729e757baf811d50991162133fbca96fd33c6ca9cecdbb860abc22b7bfbc5

Observation 105c76f1-6568-43bd-a7bf-ad748bd0e47e · outbound

This paper cites Frame Averaging for Invariant and Equivariant Network Design.

TAGTorch: A PyTorch Library for Geometry, Topology, and Symmetry-Aware Machine Learning Frame Averaging for Invariant and Equivariant Network Design

Reference 11

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unresolved
no resolver link, observed 2026-08-03T00:30:52.032087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:30:52.032087Z digest=sha256:8a7daca73dd4145b115d135c6834eba69c8f16d116f5c9074a3089610a283d48

Observation b140e846-c90a-4686-9188-19c0654eeafd · outbound

This paper cites General $E(2)$-Equivariant Steerable CNNs.

TAGTorch: A PyTorch Library for Geometry, Topology, and Symmetry-Aware Machine Learning General $E(2)$-Equivariant Steerable CNNs

Reference 14

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unresolved
no resolver link, observed 2026-08-03T00:30:52.046979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:30:52.046979Z digest=sha256:38de7aa431cf002b08ea6b55e510a25f082969aaa1e1eacbf8cf92493d5d7b35

Observation 71256b53-b466-446e-ac56-957d5eef71fa · outbound

This paper cites Julien Tierny, Guillaume Favelier, Joshua A Levine, Charles Gueunet, and Michael Michaux.

TAGTorch: A PyTorch Library for Geometry, Topology, and Symmetry-Aware Machine Learning Julien Tierny, Guillaume Favelier, Joshua A Levine, Charles Gueunet, and Michael Michaux

Reference 2007

Resolution
malformed identifier
doi_truncated, observed 2026-08-03T00:33:27.830001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-08-03T00:30:52.042155Z digest=sha256:44f928ba3fb526f90b306fcfcfa8d3a93235655d2718813cd1ff3c40fe52fc06

Observation 0a924944-3dc6-45ba-8a32-8bbd4015917e · outbound

This paper cites Gabriele Cesa, Leon Lang, and Maurice Weiler.

TAGTorch: A PyTorch Library for Geometry, Topology, and Symmetry-Aware Machine Learning Gabriele Cesa, Leon Lang, and Maurice Weiler

Reference 2010

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no resolver link, observed 2026-08-03T00:30:51.980126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:30:51.980126Z digest=sha256:ccdeff030da439da01b3e9d0eeef30a7af92d345da223b877a839145cefd7235

Observation b1799fad-0d98-4077-a1f4-876138b6e27c · outbound

This paper cites e3nn: Euclidean Neural Networks.

TAGTorch: A PyTorch Library for Geometry, Topology, and Symmetry-Aware Machine Learning e3nn: Euclidean Neural Networks

Reference 2013

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no resolver link, observed 2026-08-03T00:30:52.004605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:30:52.004605Z digest=sha256:302c67db5123313ec984d89c3b3dc4687126fe2a5625e9eee58622c63fe65ec0

Observation 01b9f5cc-6c44-4583-b1ef-fc16672ebaf3 · outbound

This paper cites Toy Models of Superposition.

TAGTorch: A PyTorch Library for Geometry, Topology, and Symmetry-Aware Machine Learning Toy Models of Superposition

Reference 2014

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unresolved
no resolver link, observed 2026-08-03T00:30:51.985076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:30:51.985076Z digest=sha256:456a47f7e5b4e682cf55004f8e282db5213b170e3206367e5bae17a7780434e4

Observation a9587e93-9940-4c7d-9b2a-7d082c46f2cf · outbound

This paper cites Jean-Pierre Serre et al.Linear representations of finite groups, volume.

TAGTorch: A PyTorch Library for Geometry, Topology, and Symmetry-Aware Machine Learning Jean-Pierre Serre et al.Linear representations of finite groups, volume

Reference 2019

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no resolver link, observed 2026-08-03T00:30:52.037000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:30:52.037000Z digest=sha256:36e93084fb5e03463e3c64c0be59d9e901273a06c683a26b9f82654104b15b6b

Observation 44a9604b-6bda-4c29-8b2b-376e86c33332 · outbound

This paper cites Nnsight and ndif: Democratizing access to open-weight foundation model internals.

TAGTorch: A PyTorch Library for Geometry, Topology, and Symmetry-Aware Machine Learning Nnsight and ndif: Democratizing access to open-weight foundation model internals

Reference 2021

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no resolver link, observed 2026-08-03T00:30:51.999581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:30:51.999581Z digest=sha256:807065abec5f89666fb2255b55ded8f5b4c6cf670a958051115e73e2771bdb89

Observation 39c98349-4a30-4521-abfd-780c2030f43e · outbound

This paper cites Fast Graph Representation Learning with PyTorch Geometric.

TAGTorch: A PyTorch Library for Geometry, Topology, and Symmetry-Aware Machine Learning Fast Graph Representation Learning with PyTorch Geometric

Reference 2022

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unresolved
no resolver link, observed 2026-08-03T00:30:51.992751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:30:51.992751Z digest=sha256:11c41bbac066b8359d818a2e18bae38b798ddec3f303206521fba8a57655eaea

Observation 1c49bcac-5eec-48eb-b273-3de8d763e68e · outbound

This paper cites The Linear Representation Hypothesis and the Geometry of Large Language Models.

TAGTorch: A PyTorch Library for Geometry, Topology, and Symmetry-Aware Machine Learning The Linear Representation Hypothesis and the Geometry of Large Language Models

Reference 2024

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unresolved
no resolver link, observed 2026-08-03T00:30:52.027208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:30:52.027208Z digest=sha256:04d43224dc7dd7d179769a3c440e838ef580132215570c5fc895b0a0ba519c2f

Observation 67e7c88b-2962-47ea-80d2-adcfdbc52ac7 · outbound

This paper cites doi: 10.21105/joss.07243.

TAGTorch: A PyTorch Library for Geometry, Topology, and Symmetry-Aware Machine Learning doi: 10.21105/joss.07243

Reference 2025

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no resolver link, observed 2026-08-03T00:30:52.009706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:30:52.009706Z digest=sha256:285131e683e65f28f0038295921bd1738305985f0eeab2842f4e7332a797ffc5

Pith citing papers

No inbound Pith citation observations are available.