Paper Citation Record · LEDGER

Representation Topology Divergence: A Method for Comparing Neural Network Representations

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2201.00058.

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

pith.paper-citation-record.v1
2201.00058 v2

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 2026-08-11T06:34:44.6726+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T04:17:55.758852Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T15:47:06.965245Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

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 eed6575a-9b18-47f0-ae6c-cf969e7ac68e · inbound

TOAST: Transformer Optimization using Adaptive and Simple Transformations cites this paper.

TOAST: Transformer Optimization using Adaptive and Simple Transformations Representation Topology Divergence: A Method for Comparing Neural Network Representations

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-23T19:48:23.061037Z

Source-reported events for the cited work

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

Observation 05dc27ee-b118-424f-a936-014a0281c8c8 · inbound

DOCS: Quantifying Weight Similarity for Deeper Insights into Large Language Models cites this paper.

DOCS: Quantifying Weight Similarity for Deeper Insights into Large Language Models Representation Topology Divergence: A Method for Comparing Neural Network Representations

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T11:47:24.789560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee59f2d0-8ab1-4510-abcc-ebae2f046d0c · inbound

Topology-Aware Representation Alignment for Semi-Supervised Vision-Language Learning cites this paper.

Topology-Aware Representation Alignment for Semi-Supervised Vision-Language Learning Representation Topology Divergence: A Method for Comparing Neural Network Representations

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:41:25.674437Z

Source-reported events for the cited work

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

Observation 7b5ca715-e748-4b6b-829d-d17be964b815 · inbound

From Layers to Networks: Comparing Neural Representations via Diffusion Geometry cites this paper.

From Layers to Networks: Comparing Neural Representations via Diffusion Geometry Representation Topology Divergence: A Method for Comparing Neural Network Representations

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-20T20:03:43.639570Z

Source-reported events for the cited work

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

Observation 0ea46acd-00e5-4961-adde-11c12bbd98f7 · inbound

Symmetric Divergence and Normalized Similarity: A Unified Topological Framework for Representation Analysis cites this paper.

Symmetric Divergence and Normalized Similarity: A Unified Topological Framework for Representation Analysis Representation Topology Divergence: A Method for Comparing Neural Network Representations

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-07-02T15:47:06.967229Z

Source-reported events for the cited work

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

Observation 99bad67a-8f11-4798-a8d3-1e4ee9868bcc · inbound

Multimodal Model Diffing for Feature Discovery and Control cites this paper.

Multimodal Model Diffing for Feature Discovery and Control Representation Topology Divergence: A Method for Comparing Neural Network Representations

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T04:17:55.758852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.