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Paper Citation Record · LEDGER

FORML: Learning to Reweight Data for Fairness

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2202.01719.

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

pith.paper-citation-record.v1
2202.01719 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 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T18:15:11.167948Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T18:23:40.759171Z

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 602dd2c2-18fe-439b-97ff-1b0e5729ae93 · inbound

Variational Model Merging for Pareto Front Estimation in Multitask Finetuning cites this paper.

Variational Model Merging for Pareto Front Estimation in Multitask Finetuning FORML: Learning to Reweight Data for Fairness

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-11T18:15:11.167948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T18:15:11.167948Z digest=sha256:ebb18ff0efa8862c11b8a8f1b8cf912f22efee14ec5925d7b25fe791b4c38207

Observation a97650ee-6c69-4cea-9037-8420b2b8a9b3 · inbound

CaTE Data Curation for Trustworthy AI cites this paper.

CaTE Data Curation for Trustworthy AI FORML: Learning to Reweight Data for Fairness

Reference 168

Resolution
verified exact
local_arxiv, observed 2026-08-05T18:23:40.829529Z

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=2026-08-05T18:23:32.331957Z digest=sha256:ab4f5683b1d270f3412aef659646086ca50f42acac8960caadbda932f14b6787