Paper Citation Record · LEDGER

Distributional encoding for Gaussian process regression with qualitative inputs

As of 10 August 2026, this Paper Citation Record lists 3 of 3 outbound references and 1 inbound Pith citation observation for arXiv:2506.04813.

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

pith.paper-citation-record.v1
2506.04813 v1

Coverage vector

measured 3 of 3 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:39:46.663977Z

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-18T05:21:48.348129Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T05:22:24.008665Z

Reference resolution

3 of 3 outbound references displayed

verified exact0
verified fuzzy2
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2983b13d-b1d2-4013-b133-e0adb3c1c7e1 · outbound

This paper cites an unresolved cited work.

Distributional encoding for Gaussian process regression with qualitative inputs Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:39:47.106456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d668db4a-7744-4f5f-97cf-023f39f2749b · outbound

This paper cites > 5 − 10%), use the standard distributional encoding (b) Otherwise, compute its second-order interaction with all quantitative inputs.

Distributional encoding for Gaussian process regression with qualitative inputs > 5 − 10%), use the standard distributional encoding (b) Otherwise, compute its second-order interaction with all quantitative inputs

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:39:46.958358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 331ea6ba-0351-45c6-b394-534e35a688ae · outbound

This paper cites We plan to investigate further its potential on large datasets in future work.

Distributional encoding for Gaussian process regression with qualitative inputs We plan to investigate further its potential on large datasets in future work

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:39:46.818946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

Observation 0e89c8df-c5ec-4781-92f3-f3b72c2e467e · inbound

Staying on Track: Efficient Trajectory Discovery with Adaptive Batch Sampling cites this paper.

Staying on Track: Efficient Trajectory Discovery with Adaptive Batch Sampling Distributional encoding for Gaussian process regression with qualitative inputs

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-18T05:22:24.010505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.