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Paper Citation Record · LEDGER

Distributionally Robust Transfer Learning

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2309.06534.

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

pith.paper-citation-record.v1
2309.06534 v1

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 2026-08-07T06:34:17.273281+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:09:15.238284Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T09:05:36.809956Z

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 1fc437d5-b5d2-4906-bee9-ed506fcf5894 · inbound

When few labeled target data suffice: a theory of semi-supervised domain adaptation via fine-tuning from multiple adaptive starts cites this paper.

When few labeled target data suffice: a theory of semi-supervised domain adaptation via fine-tuning from multiple adaptive starts Distributionally Robust Transfer Learning

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-06T16:09:15.238284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:09:15.238284Z digest=sha256:f677552ea430d3c274be4e15a0bc00331ba010df1935d9fa4730c7b25d3d36ad

Observation 36191b78-f4d0-4412-ac5d-7aa24299e6df · inbound

Sufficiency-principled Transfer Learning via Model Averaging cites this paper.

Sufficiency-principled Transfer Learning via Model Averaging Distributionally Robust Transfer Learning

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-06T15:40:48.665565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:40:48.665565Z digest=sha256:12503fb56272f4a544d1617bcddfd466a5058db7efa7f1471537ce28dffdf911

Observation f376c436-099d-4cba-be16-4904f0b05958 · inbound

Representation-Aware Distributionally Robust Optimization: A Knowledge Transfer Framework cites this paper.

Representation-Aware Distributionally Robust Optimization: A Knowledge Transfer Framework Distributionally Robust Transfer Learning

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-04T19:18:49.478019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T19:18:49.478019Z digest=sha256:4634b407db78c1813bc00060feeb5cf65ccaad9af1fb3cb53a8580eff8ad414b

Observation 50dada06-0857-47f3-a2fa-cfb59ff9dfc3 · inbound

Privacy-preserving Meta-analysis through Low-Rank Basis Hunting cites this paper.

Privacy-preserving Meta-analysis through Low-Rank Basis Hunting Distributionally Robust Transfer Learning

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:21:13.036866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T05:48:09.393560Z digest=sha256:ff46fd16d6783b87bf7bf743e4ec45ee075ead67c318c3e87e1c10ccff73575b

Observation bb1a834c-e4f1-4c2a-8bcf-c0ea3c880353 · inbound

Privacy-preserving Meta-analysis through Low-Rank Basis Hunting cites this paper.

Privacy-preserving Meta-analysis through Low-Rank Basis Hunting Distributionally Robust Transfer Learning

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-07-01T09:05:36.812471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T08:57:56.659495Z digest=sha256:20857248c9bea529c9cbeae4062fb11e6916ff342b38ada06e4dafb2bf21cee0