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Paper Citation Record · LEDGER

Learning from Similar Linear Representations: Adaptivity, Minimaxity, and Robustness

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2303.17765.

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

pith.paper-citation-record.v1
2303.17765 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:02:19.098512Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T02:17:35.261851Z

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 54fd2c52-f0c7-4a6e-8367-ff37fe9f186a · inbound

Few-shot Multi-Task Learning of Linear Invariant Features with Meta Subspace Pursuit cites this paper.

Few-shot Multi-Task Learning of Linear Invariant Features with Meta Subspace Pursuit Learning from Similar Linear Representations: Adaptivity, Minimaxity, and Robustness

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-23T20:53:25.613392Z

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=arxiv_source observed=2026-05-23T20:52:48.702423Z digest=sha256:c218de7f9da75fa3fa4dae1cb61a5aed5ce1fdf3dfc1f818ac876769cb8e5fc5

Observation c79fdd8d-f190-4a93-a844-478aaf3e9645 · inbound

Joint estimation of smooth graph signals from partial linear measurements cites this paper.

Joint estimation of smooth graph signals from partial linear measurements Learning from Similar Linear Representations: Adaptivity, Minimaxity, and Robustness

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T13:02:19.098512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:02:19.098512Z digest=sha256:0d226fddb21f4cabe91624044f9c04cd9717b8c4fc43b4b2235d90b2cf9bb160

Observation 404efbfa-5bf3-487b-bd8d-1c702dcffdbb · inbound

Multi-task Learning for Heterogeneous Multi-source Block-Wise Missing Data cites this paper.

Multi-task Learning for Heterogeneous Multi-source Block-Wise Missing Data Learning from Similar Linear Representations: Adaptivity, Minimaxity, and Robustness

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T12:30:38.150706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:30:38.150706Z digest=sha256:dd4a451520aaa839c1270dfb9258a383f67583f15c5a5ed91f7e3b9835e5525d

Observation 1576a90e-fee5-4a16-8c0a-5cc82a3f4ce6 · inbound

Late Fusion Multi-task Learning for Semiparametric Inference with Nuisance Parameters cites this paper.

Late Fusion Multi-task Learning for Semiparametric Inference with Nuisance Parameters Learning from Similar Linear Representations: Adaptivity, Minimaxity, and Robustness

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T18:39:03.758616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:39:03.758616Z digest=sha256:121c1400cc544f93bfcede81152b03b1219fd1a5af0090c4c5cb1690c57ed70b

Observation 13f0cb10-8f2f-49e2-a6f9-d4740b3aab6d · inbound

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

Representation-Aware Distributionally Robust Optimization: A Knowledge Transfer Framework Learning from Similar Linear Representations: Adaptivity, Minimaxity, and Robustness

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-04T19:18:48.876289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T19:18:48.876289Z digest=sha256:5f1bb17ba0a002526d3b483220aa155ef5b57151cafe2aee3c89b328f27c2838

Observation dee2d969-9a3e-4383-bfd4-c5565b1e2d39 · inbound

Model-agnostic information transfer and fusion for classification with label noise cites this paper.

Model-agnostic information transfer and fusion for classification with label noise Learning from Similar Linear Representations: Adaptivity, Minimaxity, and Robustness

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-12T00:21:22.747582Z

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=2026-05-07T15:28:44.884377Z digest=sha256:c33f9d2177863477accd91e65dc210dd5059d23672a268e12dba57aee10ef52e

Observation f24317e2-c295-4ed1-aef2-a2a3e2bc99dd · inbound

Divide-and-shrink: An efficient and heterogeneity-agnostic approach for transfer estimation using summary statistics cites this paper.

Divide-and-shrink: An efficient and heterogeneity-agnostic approach for transfer estimation using summary statistics Learning from Similar Linear Representations: Adaptivity, Minimaxity, and Robustness

Reference 36

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T02:17:35.263274Z

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=arxiv_source observed=2026-06-27T15:58:59.501627Z digest=sha256:e20c7eb84c18a690aef20a3db9604321c2ddc9e93f670b0f605b86d42ab94e84

Observation 50c993a8-f356-4547-999e-466b8b31c0ba · inbound

Contaminated Multi-task Learning with Heterogeneity: Fundamental Limits and Optimal Algorithms cites this paper.

Contaminated Multi-task Learning with Heterogeneity: Fundamental Limits and Optimal Algorithms Learning from Similar Linear Representations: Adaptivity, Minimaxity, and Robustness

Reference 300

Resolution
unresolved
no resolver link, observed 2026-07-12T07:46:03.995262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T07:46:03.995262Z digest=sha256:2df6a27a51d55d197d190c82654f04c77a22034a2d90d3d4d0a30167adaf79cc

Observation 0e13eba1-e843-46be-9f8c-5e81c9a23091 · inbound

On Non-Stationary Dynamic Pricing: Adaptivity and Optimality cites this paper.

On Non-Stationary Dynamic Pricing: Adaptivity and Optimality Learning from Similar Linear Representations: Adaptivity, Minimaxity, and Robustness

Reference 10

Resolution
unresolved
no resolver link, observed 2026-07-31T23:10:34.874068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:10:34.874068Z digest=sha256:c26f471814d90da778dc7f19a43000034b29bb8009b826bc704654bc64817c08