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Paper Citation Record · LEDGER

Understanding Generalization through Visualizations

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1906.03291.

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

pith.paper-citation-record.v1
1906.03291 v6

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 2026-08-22T06:32:14.747728+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T10:10:09.768556Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T00:47:30.254575Z

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 29ce28d2-d79b-4dfb-8cd3-00156abaabea · inbound

Partitioned integrators for thermodynamic parameterization of neural networks cites this paper.

Partitioned integrators for thermodynamic parameterization of neural networks Understanding Generalization through Visualizations

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-14T10:10:09.768556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:10:09.768556Z digest=sha256:5f7a765c1c8a18e2a7f07fb5f08fc78177596116c8c8f6b06dcd4dabac860587

Observation 928d52ee-9748-470d-8485-23389b94b98f · inbound

From inverse problems to neural operators: prediction, mechanism, and generalization of data-driven models cites this paper.

From inverse problems to neural operators: prediction, mechanism, and generalization of data-driven models Understanding Generalization through Visualizations

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-07-03T00:47:30.256129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-27T17:03:15.379147Z digest=sha256:76e1f137b034a84837016ba76851175398b0a68c32694e6af953f26096c1f0e2

Observation 52b5f714-5d03-4c60-bd33-b16ecf8555fe · inbound

From inverse problems to neural operators: prediction, mechanism, and generalization of data-driven models cites this paper.

From inverse problems to neural operators: prediction, mechanism, and generalization of data-driven models Understanding Generalization through Visualizations

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-02T12:05:38.458908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T12:05:38.458908Z digest=sha256:1451981b0d33082be4675ea7abe2c9ae39d8520afe28b1c8778c69a096c71e54