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Paper Citation Record · LEDGER

A Survey on Ordinal Regression: Applications, Advances and Prospects

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2503.00952.

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

pith.paper-citation-record.v1
2503.00952 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-30T18:33:46.962224Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T05:49:36.877334Z

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 5af1c404-280a-4c07-aa38-475f5f7064a4 · inbound

DiffoR: A Unified Continuous Generative Framework for Universal Ordinal Regression cites this paper.

DiffoR: A Unified Continuous Generative Framework for Universal Ordinal Regression A Survey on Ordinal Regression: Applications, Advances and Prospects

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-06-28T23:42:49.640748Z

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=2026-06-28T23:38:17.403918Z digest=sha256:e4340891a291809a7b1a35e948ca13bb2fe832b39252ce2ae2b154918237fa2b

Observation 2d8f7520-ba99-4410-936f-d5e793ccb151 · inbound

A large-scale foundation model enables simulation-to-real adaptation for nuclear magnetic resonance-based molecular structure analysis cites this paper.

A large-scale foundation model enables simulation-to-real adaptation for nuclear magnetic resonance-based molecular structure analysis A Survey on Ordinal Regression: Applications, Advances and Prospects

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-07-04T05:49:36.879828Z

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=2026-06-26T15:31:07.140232Z digest=sha256:5c591132c5dda4daaaba911120ce9df956bab00b1e541a34301602a31425d9a5

Observation 6362d67e-6130-4bbb-b551-43ea2563e507 · inbound

D3O: Dynamic Distribution Distillation for Ordinal Regression cites this paper.

D3O: Dynamic Distribution Distillation for Ordinal Regression A Survey on Ordinal Regression: Applications, Advances and Prospects

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-07-30T18:33:46.962224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T18:33:46.962224Z digest=sha256:fa1ecf7044c53985bee72b20f66705a430f87b0d2c6d878728288089aba59188