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Paper Citation Record · LEDGER

A Methodology for Creating AI FactSheets

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2006.13796.

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

pith.paper-citation-record.v1
2006.13796 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 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:24:43.073534Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-08T15:37:19.345843Z

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 7f62ff9f-2f22-4fef-b87e-21ae31da51ad · inbound

Regulating Multifunctionality cites this paper.

Regulating Multifunctionality A Methodology for Creating AI FactSheets

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-10T14:24:43.073534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:24:43.073534Z digest=sha256:7ee41c4036629b813188ecb9c95d7b2746f3c43b2f93972568b91019e4af35f3

Observation 877b8091-b56f-4846-b035-9c3eaf01f9b6 · inbound

Completeness of Datasets Documentation on ML/AI repositories: an Empirical Investigation cites this paper.

Completeness of Datasets Documentation on ML/AI repositories: an Empirical Investigation A Methodology for Creating AI FactSheets

Reference 18

Resolution
metadata mismatch
local_arxiv, observed 2026-08-08T15:37:19.349723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T15:37:19.074139Z digest=sha256:f4056c3cee20619ccbcce0f70d49ec44f7b990dd544038d7a88f154e1997a917