Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T19:58:11.377777Z
Paper Citation Record · LEDGER
Machine learning approaches for automatic cleaning of investigative drilling data
As of 17 August 2026, this Paper Citation Record lists 5 of 5 outbound references and 0 inbound Pith citation observations for arXiv:2506.14289.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
5 of 5 outbound references displayed
- verified exact3
- verified fuzzy0
- unresolved1
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 0b1087c6-62a7-4f7d-9634-785acfdd5e80 · outbound
This paper cites an unresolved cited work.
Machine learning approaches for automatic cleaning of investigative drilling data Unresolved cited work
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T19:58:11.355565Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a63d4adb-1bbb-46a9-9980-8882bd888941 · outbound
This paper cites Q., Lee, C.
Machine learning approaches for automatic cleaning of investigative drilling data Q., Lee, C
Reference 2
- Resolution
- verified exact
- doi, observed 2026-08-15T19:58:11.412673Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a2f132ce-f0f1-41f2-927c-967f15c0f3bb · outbound
This paper cites an unresolved cited work.
Machine learning approaches for automatic cleaning of investigative drilling data Unresolved cited work
Reference 146
- Resolution
- verified exact
- doi, observed 2026-08-15T19:58:11.427308Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 54f23f32-d262-4fb9-a203-0b6d4fcb6d57 · outbound
This paper cites an unresolved cited work.
Machine learning approaches for automatic cleaning of investigative drilling data Unresolved cited work
Reference 227
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-15T19:58:11.554177Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation bd01ba48-1454-4ccb-86ac-29eca4ab90ae · outbound
This paper cites W., Soga, K., Bolton, M.
Machine learning approaches for automatic cleaning of investigative drilling data W., Soga, K., Bolton, M
Reference 4565
- Resolution
- verified exact
- doi, observed 2026-08-15T19:58:11.442744Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Pith citing papers
No inbound Pith citation observations are available.