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Paper Citation Record · LEDGER

Minimum-Norm Interpolation Under Covariate Shift

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2404.00522.

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

pith.paper-citation-record.v1
2404.00522 v2

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 2026-08-07T13:12:15.203994Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T13:12:18.413925Z

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 74109a72-65b3-46b2-9392-95571b25d365 · inbound

Multi-Environment GLAMP: Approximate Message Passing for Transfer Learning with Applications to Lasso-based Estimators cites this paper.

Multi-Environment GLAMP: Approximate Message Passing for Transfer Learning with Applications to Lasso-based Estimators Minimum-Norm Interpolation Under Covariate Shift

Reference 63

Resolution
verified exact
local_arxiv, observed 2026-08-07T13:12:18.592010Z

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=pdf_text observed=2026-08-07T13:12:15.203994Z digest=sha256:fe318cd471dad7821032e813cfe9b60f9db1f428bad201ecb854591871fe9733

Observation 5a0be415-1c4c-4fb3-88dc-dd93db2b96fb · inbound

Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion cites this paper.

Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion Minimum-Norm Interpolation Under Covariate Shift

Reference 103

Resolution
unresolved
no resolver link, observed 2026-08-02T02:24:43.479028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T02:24:43.479028Z digest=sha256:30afd9cd315ca9b4bb2e2931cd22bf32fb901303c16823e5eae03911ed21bea7