Pith. sign in

Paper Citation Record · LEDGER

Extending the Machine Learning Abstraction Boundary: A Complex Systems Approach to Incorporate Societal Context

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2006.09663.

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

pith.paper-citation-record.v1
2006.09663 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 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:27:31.775314Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T08:33:24.494376Z

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 83c70a9d-e3ae-484e-a813-999c175135a6 · inbound

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems cites this paper.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Extending the Machine Learning Abstraction Boundary: A Complex Systems Approach to Incorporate Societal Context

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-10T22:27:31.775314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:27:31.775314Z digest=sha256:62bd4e5f0fd5b308a42f1bddfa211fdef06b345384306b765bbcd32574c0f067

Observation 0508f59e-6aaf-490c-a917-0aa3f82ed8e0 · inbound

Evaluating Multi-turn Human-AI Interaction cites this paper.

Evaluating Multi-turn Human-AI Interaction Extending the Machine Learning Abstraction Boundary: A Complex Systems Approach to Incorporate Societal Context

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-20T08:33:24.498475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-20T08:33:08.019966Z digest=sha256:cde86b1ea02bf4b6ac3a7cfb6bc07767b8a63ec7fb8399be043ad787d78cf14c