Paper Citation Record · LEDGER

Self-Training: A Survey

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2202.12040.

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

pith.paper-citation-record.v1
2202.12040 v6

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T00:36:36.579307Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T06:28:05.484131Z

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 3a915dfd-3f9d-48e2-86a2-b86e9c1a0674 · inbound

Large Language Models Can Self-Improve cites this paper.

Large Language Models Can Self-Improve Self-Training: A Survey

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-18T17:00:48.293382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ee208a9c-c869-452b-a35a-354ceb087ab1 · inbound

Semi-rPPG: Semi-Supervised Remote Physiological Measurement with Curriculum Pseudo-Labeling cites this paper.

Semi-rPPG: Semi-Supervised Remote Physiological Measurement with Curriculum Pseudo-Labeling Self-Training: A Survey

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-09T00:36:36.579307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd9af138-0b3d-41d1-a477-7c3d7e47ef7a · inbound

OntoTune: Ontology-Driven Self-training for Aligning Large Language Models cites this paper.

OntoTune: Ontology-Driven Self-training for Aligning Large Language Models Self-Training: A Survey

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-08T19:12:42.162831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20d4a219-d394-4691-a8f3-2baf046cbe3a · inbound

Self-Boost via Optimal Retraining: An Analysis via Approximate Message Passing cites this paper.

Self-Boost via Optimal Retraining: An Analysis via Approximate Message Passing Self-Training: A Survey

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T15:32:11.308966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b9ff56e-2def-4394-a580-ede4826a1aac · inbound

ADAPT: A Pseudo-labeling Approach to Combat Concept Drift in Malware Detection cites this paper.

ADAPT: A Pseudo-labeling Approach to Combat Concept Drift in Malware Detection Self-Training: A Survey

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T18:19:59.732045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c267596-dd47-4a67-bc64-5bbcc2a1eb38 · inbound

Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis cites this paper.

Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis Self-Training: A Survey

Reference 146

Resolution: unresolved; no resolver link, observed 2026-08-06T17:03:46.369486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31b8f2e2-ae22-4731-98c3-46f2654f88fb · inbound

Embarrassingly Simple Self-Distillation Improves Code Generation cites this paper.

Embarrassingly Simple Self-Distillation Improves Code Generation Self-Training: A Survey

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-13T14:33:35.834383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51da0c39-9689-44b6-a0f1-1261a2713b14 · inbound

SAGE: Scalable Automatic Gating Ensemble for Confident Negative Harvesting in Fraud Detection cites this paper.

SAGE: Scalable Automatic Gating Ensemble for Confident Negative Harvesting in Fraud Detection Self-Training: A Survey

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-20T06:28:05.485710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.