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Paper Citation Record · LEDGER

Distributionally Robust Learning for Multi-source Unsupervised Domain Adaptation

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2309.02211.

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

pith.paper-citation-record.v1
2309.02211 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:51:41.158750Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T07:02:41.599096Z

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 c7b97218-0cbf-4be4-bb37-f3ffc6fc0af4 · inbound

Minimax Regret Estimation for Generalizing Heterogeneous Treatment Effects with Multisite Data cites this paper.

Minimax Regret Estimation for Generalizing Heterogeneous Treatment Effects with Multisite Data Distributionally Robust Learning for Multi-source Unsupervised Domain Adaptation

Reference 67

Resolution
verified exact
arxiv_id, observed 2026-05-23T07:02:41.601943Z

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=arxiv_source observed=2026-05-23T06:59:05.927239Z digest=sha256:7d50cbb50374bb42c03d33a5207d65c88b9b45380c606f5cd2f858500b9805cc

Observation d4c4bf06-b5b9-49ca-a7b8-62d3410177e0 · inbound

Optimal Empirical Risk Minimization under Temporal Distribution Shifts cites this paper.

Optimal Empirical Risk Minimization under Temporal Distribution Shifts Distributionally Robust Learning for Multi-source Unsupervised Domain Adaptation

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-06T16:38:56.144299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:38:56.144299Z digest=sha256:18b2def4f330f84a17fc984e6195f406d8f691d5868ef88e20737ec45ce141ba

Observation 2c327c8d-8b49-4cfb-88ad-a4270fd0c37d · inbound

Latent Factor Point Processes for Patient Representation in Electronic Health Records cites this paper.

Latent Factor Point Processes for Patient Representation in Electronic Health Records Distributionally Robust Learning for Multi-source Unsupervised Domain Adaptation

Reference 1622

Resolution
unresolved
no resolver link, observed 2026-08-15T16:51:41.158750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:51:41.158750Z digest=sha256:4f02e2c5abaf2458dde3f26438afad8f823e70493baccaec0cb6bcbbe220a1e1

Observation ae870b79-83ae-4994-9af8-a6617edd5e15 · inbound

Multiply Robust Inference of Average Treatment Effects by High-dimensional Empirical Likelihood cites this paper.

Multiply Robust Inference of Average Treatment Effects by High-dimensional Empirical Likelihood Distributionally Robust Learning for Multi-source Unsupervised Domain Adaptation

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-05T13:52:52.764487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:52:52.764487Z digest=sha256:81f7d6b2cbcc5f2cf86089cb05222b3f1965f9561413edaf67ce3f7157c50a2a

Observation 01cd956c-687c-4f25-948d-91b73c6d3f35 · inbound

Stable Transport Meta-Analysis for Heterogeneous Cardiovascular Trials: A Nuisance-Anchor Framework with a Sign-Stability Diagnostic cites this paper.

Stable Transport Meta-Analysis for Heterogeneous Cardiovascular Trials: A Nuisance-Anchor Framework with a Sign-Stability Diagnostic Distributionally Robust Learning for Multi-source Unsupervised Domain Adaptation

Reference 22

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T09:38:42.898665Z

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=arxiv_source observed=2026-05-10T05:11:54.297899Z digest=sha256:d64092938c20c04fc062dd800907cf41e178fc7726092a570c0140953bd13837