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Paper Citation Record · LEDGER

Human-in-the-loop Machine Learning: A Macro-Micro Perspective

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2202.10564.

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

pith.paper-citation-record.v1
2202.10564 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 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-24T09:30:10.020006Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T09:34:17.065566Z

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 fc86436c-5597-4c04-a0b7-052e786e9788 · inbound

Natural Language Processing in the Legal Domain cites this paper.

Natural Language Processing in the Legal Domain Human-in-the-loop Machine Learning: A Macro-Micro Perspective

Reference 68

Resolution
verified exact
arxiv_id, observed 2026-05-24T09:34:17.068101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-24T09:30:10.020006Z digest=sha256:a88adf6937228c00b89d14b19c038e5a355c9fefbc330782f3f00dfb6af2d38b

Observation 869b74ea-f88b-4073-a40f-9a60c3b3af2e · inbound

Industry Practitioners Perspectives on AI Model Quality: Perceptions, Challenges, and Solutions cites this paper.

Industry Practitioners Perspectives on AI Model Quality: Perceptions, Challenges, and Solutions Human-in-the-loop Machine Learning: A Macro-Micro Perspective

Reference 125

Resolution
verified exact
arxiv_id, observed 2026-05-24T04:23:52.779468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-24T04:21:49.775278Z digest=sha256:a4a5ac329c19e7dcc41421f7502bb3bbe01fb4b160f6ec3d246589da29118aee