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Paper Citation Record · LEDGER

Large Dimensional Analysis and Improvement of Multi Task Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2009.01591.

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

pith.paper-citation-record.v1
2009.01591 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-15T14:50:37.075540Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T19:52:44.674217Z

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 08d1e53d-dc01-4b5b-9b6e-bea3e48ad51e · inbound

Asymptotic Behavior of Multi--Task Learning: Implicit Regularization and Double Descent Effects cites this paper.

Asymptotic Behavior of Multi--Task Learning: Implicit Regularization and Double Descent Effects Large Dimensional Analysis and Improvement of Multi Task Learning

Reference 22

Resolution
unresolved
no resolver link, observed 2026-07-15T14:50:37.075540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-15T14:50:37.075540Z digest=sha256:c4535dc0da8f4ecf002727ac1b656bd19211a164803fac2698d3fedec4d02713

Observation 57f15918-d286-46b7-afe1-ca9c8de6a34c · inbound

$\alpha$-TCAV: A Unified Framework for Testing with Concept Activation Vectors cites this paper.

$\alpha$-TCAV: A Unified Framework for Testing with Concept Activation Vectors Large Dimensional Analysis and Improvement of Multi Task Learning

Reference 103

Resolution
verified exact
arxiv_id, observed 2026-05-19T19:52:44.675607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-19T19:47:59.664096Z digest=sha256:9fcda9e88198d4c557cf00d82ef9e78c4302e025d13f02eb8a83f3d434806079