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Paper Citation Record · LEDGER

Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2206.07837.

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

pith.paper-citation-record.v1
2206.07837 v4

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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T10:16:07.926801Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T04:55:43.137995Z

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 58591646-8c2d-4454-bec4-817f69a44967 · inbound

Cutting through Complexity: How Data Science Can Help Policymakers Understand the World cites this paper.

Cutting through Complexity: How Data Science Can Help Policymakers Understand the World Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-09T10:16:07.926801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T10:16:07.926801Z digest=sha256:7c6b7550fffc9c0f3f075d4e42de85c03464d0319a3dc89addd419b9e1a9f7ad

Observation 3d489eb0-fb50-44c5-9e6e-e69a11401232 · inbound

Mitigating Spurious Correlations in LLMs via Causality-Aware Post-Training cites this paper.

Mitigating Spurious Correlations in LLMs via Causality-Aware Post-Training Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-07T04:55:43.142860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T04:55:42.405171Z digest=sha256:5238f3e3fed39e60ae5ab70361e1039daf4a0a12fc1ae97f3666bc8f0c728359