Paper Citation Record · LEDGER

Gradient-Boosted Pseudo-Weighting: Methods for Population Inference from Nonprobability samples

As of 9 August 2026, this Paper Citation Record lists 7 of 7 outbound references and 0 inbound Pith citation observations for arXiv:2508.00089.

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

pith.paper-citation-record.v1
2508.00089 v2

Coverage vector

measured 7 of 7 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T10:29:39.217363Z

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

7 of 7 outbound references displayed

verified exact0
verified fuzzy4
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cfb2f225-bca9-44f1-8e97-b2900f006bbe · outbound

This paper cites big data.

Gradient-Boosted Pseudo-Weighting: Methods for Population Inference from Nonprobability samples big data

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:29:39.307755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a7f35427-7d47-4593-8b6f-46bead4b6621 · outbound

This paper cites an unresolved cited work.

Gradient-Boosted Pseudo-Weighting: Methods for Population Inference from Nonprobability samples Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-06T10:29:39.296735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 70fdee61-3b23-42bc-9fd2-94c51d6bec22 · outbound

This paper cites response variable.

Gradient-Boosted Pseudo-Weighting: Methods for Population Inference from Nonprobability samples response variable

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:29:39.284838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2467054c-1d49-4488-93fa-b3b4caa1f81e · outbound

This paper cites First, 10 base covariates (𝑉1, ⋯ , 𝑉7) were generated independently following standard normal distributions.

Gradient-Boosted Pseudo-Weighting: Methods for Population Inference from Nonprobability samples First, 10 base covariates (𝑉1, ⋯ , 𝑉7) were generated independently following standard normal distributions

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:29:39.274458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f5fa3d84-a10d-4ccb-9ca1-086bb1fb308d · outbound

This paper cites nonprobability sample.

Gradient-Boosted Pseudo-Weighting: Methods for Population Inference from Nonprobability samples nonprobability sample

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:29:39.264656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f662e37b-df65-47ac-ac8a-f82db2af7cba · outbound

This paper cites an unresolved cited work.

Gradient-Boosted Pseudo-Weighting: Methods for Population Inference from Nonprobability samples Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-06T10:29:39.255055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ae3f0d36-ed05-41d7-a7f1-a71237f4e5f4 · outbound

This paper cites Why resampling outperforms reweighting for correcting sampling bias with stochastic gradients.

Gradient-Boosted Pseudo-Weighting: Methods for Population Inference from Nonprobability samples Why resampling outperforms reweighting for correcting sampling bias with stochastic gradients

Reference 1997

Resolution: unresolved; no resolver link, observed 2026-08-06T10:29:39.217363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.