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Paper Citation Record · LEDGER

A Generalization Error Bound for Multi-class Domain Generalization

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1905.10392.

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

pith.paper-citation-record.v1
1905.10392 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:21:13.370162Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-20T13:35:02.339735Z

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 77d96b28-9705-4c60-b910-0a0137f7a7c0 · inbound

TabICL: A Tabular Foundation Model for In-Context Learning on Large Data cites this paper.

TabICL: A Tabular Foundation Model for In-Context Learning on Large Data A Generalization Error Bound for Multi-class Domain Generalization

Reference 111

Resolution
verified exact
local_arxiv, observed 2026-05-20T13:35:02.341658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-20T13:35:02.018244Z digest=sha256:9cfc2eafd2581b440446170e39abbe7f29fd917b2bd508d65e46e02d0043cbe3

Observation 2b6cd494-0690-45da-b386-a69ad45993b9 · inbound

Epistemic Artificial Intelligence is Essential for Machine Learning Models to Truly 'Know When They Do Not Know' cites this paper.

Epistemic Artificial Intelligence is Essential for Machine Learning Models to Truly 'Know When They Do Not Know' A Generalization Error Bound for Multi-class Domain Generalization

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-15T23:21:13.370162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:21:13.370162Z digest=sha256:f8651954d6e77acb003ab6f42158658e2bf9e532ca0ebd0665964be4ec8c5666