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Paper Citation Record · LEDGER

Unsupervised Domain Adaptation for Binary Classification with an Unobservable Source Subpopulation

As of 10 August 2026, this Paper Citation Record lists 6 of 6 outbound references and 0 inbound Pith citation observations for arXiv:2509.20587.

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

pith.paper-citation-record.v1
2509.20587 v3

Coverage vector

measured 6 of 6 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-18T13:37:55.439169Z

measured 6 of 6 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 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

6 of 6 outbound references displayed

  • verified exact1
  • verified fuzzy3
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0a328c84-9073-42ff-972a-3469e2b25f53 · outbound

This paper cites Invariant Risk Minimization.

Unsupervised Domain Adaptation for Binary Classification with an Unobservable Source Subpopulation Invariant Risk Minimization

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-05-18T13:41:25.644939Z

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.

source=pdf_text observed=2026-05-18T13:37:55.439169Z digest=sha256:430bba73a52037a85c6b1978dcbfc8574b80f14cdabb9531e3bec87949792bca

Observation 6328c050-4a70-4bf6-9681-1195412f22b2 · outbound

This paper cites an unresolved cited work.

Unsupervised Domain Adaptation for Binary Classification with an Unobservable Source Subpopulation Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-05-18T13:42:39.219058Z

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.

source=pdf_text observed=2026-05-18T13:37:55.439169Z digest=sha256:495104341a8352b37c14aba28c83bf81a515629f1dd85537184aa7dbbff92d37

Observation 1d773715-e097-4fe0-8ff5-ffdf5cd9b098 · outbound

This paper cites This inequality is analogous to Hoeffding’s inequality and provides a non-asymptotic concentration bound on the estimation error.

Unsupervised Domain Adaptation for Binary Classification with an Unobservable Source Subpopulation This inequality is analogous to Hoeffding’s inequality and provides a non-asymptotic concentration bound on the estimation error

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T13:42:39.211593Z

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.

source=pdf_text observed=2026-05-18T13:37:55.439169Z digest=sha256:7278edf104708e2acc1aa75f45ec59b50742864741dd65925a32125f679d2c09

Observation 3431db03-a761-4a95-b614-cf625affc870 · outbound

This paper cites The term ∂β10 bL(f0,bb1,bβ10,bϱ): We have ∂β10 bL(f0,bb1,bβ10,bϱ) − ∂β10 bL(f0, b1,bβ10, ϱ) + ∂β10 bL(f0, b1,bβ10, ϱ) = ∂β10 bL(f0, b1,bβ10, ϱ) + Op(|bb1 − b1| + |bϱ − ϱ|).

Unsupervised Domain Adaptation for Binary Classification with an Unobservable Source Subpopulation The term ∂β10 bL(f0,bb1,bβ10,bϱ): We have ∂β10 bL(f0,bb1,bβ10,bϱ) − ∂β10 bL(f0, b1,bβ10, ϱ) + ∂β10 bL(f0, b1,bβ10, ϱ) = ∂β10 bL(f0, b1,bβ10, ϱ) + Op(|bb1 − b1| + |bϱ − ϱ|)

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T13:42:39.215450Z

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.

source=pdf_text observed=2026-05-18T13:37:55.439169Z digest=sha256:13f0931d5150d3d242d870483d45da1d5b43009337ea2d59698e8964a1adad95

Observation bf8ce045-58cc-4f0e-8f0d-820f0c6ea668 · outbound

This paper cites (S.8) The proof is similar to Lemma A.3 of Maity et al.

Unsupervised Domain Adaptation for Binary Classification with an Unobservable Source Subpopulation (S.8) The proof is similar to Lemma A.3 of Maity et al

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T13:42:39.222500Z

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.

source=pdf_text observed=2026-05-18T13:37:55.439169Z digest=sha256:75bd0c7944ef200144e37f13d24ec168f528e938538082edffaf7ca2c58c6277

Observation 46aae888-5a02-4b79-901a-39ac81ea9107 · outbound

This paper cites an unresolved cited work.

Unsupervised Domain Adaptation for Binary Classification with an Unobservable Source Subpopulation Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-05-18T13:42:39.226602Z

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.

source=pdf_text observed=2026-05-18T13:37:55.439169Z digest=sha256:ba254390127ca8a41fd5755fd9455a6610d67267ea8f45e61088db7ff38c0128

Pith citing papers

No inbound Pith citation observations are available.