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Paper Citation Record · LEDGER

Characterizing and Measuring the Similarity of Neural Networks with Persistent Homology

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2101.07752.

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

pith.paper-citation-record.v1
2101.07752 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:44:24.574636Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T20:44:24.663691Z

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 907dfd13-af99-4df0-bef9-b49b1e641cdf · inbound

Recursive Computation of Path Homology for Stratified Digraphs cites this paper.

Recursive Computation of Path Homology for Stratified Digraphs Characterizing and Measuring the Similarity of Neural Networks with Persistent Homology

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-08-11T20:44:24.671476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T20:44:24.574636Z digest=sha256:d5628473d5621f99258360d8468622a790e89381c439146a5f06ea2ad43d34c6

Observation 7412cda3-5879-4834-9a18-a7e3509d45c4 · inbound

TopoTuner: Topological Finetuning of Large Language Models cites this paper.

TopoTuner: Topological Finetuning of Large Language Models Characterizing and Measuring the Similarity of Neural Networks with Persistent Homology

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-01T20:28:12.666939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T20:28:12.666939Z digest=sha256:a3bed369eaeee2d36dd96b9c01abfb7e145b8ab08a128a9e8faa5120b5850e9c

Observation 6e813138-a0f7-497b-834a-0384fa9dd004 · inbound

TopoTuner: Topological Finetuning of Large Language Models cites this paper.

TopoTuner: Topological Finetuning of Large Language Models Characterizing and Measuring the Similarity of Neural Networks with Persistent Homology

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-04T04:17:28.244869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T04:17:28.244869Z digest=sha256:2a1fc708c4d85bbcc5c0c680db02813f95c3977193dd832261d83155be1c6284