Paper Citation Record · LEDGER

Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2205.12679.

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

pith.paper-citation-record.v1
2205.12679 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:59:18.266978Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T13:17:39.485879Z

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 290f3a91-3963-42fc-b09c-9f70de7d98fe · inbound

ShieldGemma: Generative AI Content Moderation Based on Gemma cites this paper.

ShieldGemma: Generative AI Content Moderation Based on Gemma Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-20T13:17:39.488263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 535c660a-2eb5-4e4a-8c8c-2d803839f901 · inbound

Engineering AI Judge Systems cites this paper.

Engineering AI Judge Systems Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-12T11:59:18.266978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c902d0f-9ccf-4409-a9fb-472638cf007f · inbound

Improving Multimodal LLMs Ability In Geometry Problem Solving, Reasoning, And Multistep Scoring cites this paper.

Improving Multimodal LLMs Ability In Geometry Problem Solving, Reasoning, And Multistep Scoring Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T04:59:45.012104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69ff358c-c0ed-411b-8227-8e09868ec054 · inbound

Few-shot LLM Synthetic Data with Distribution Matching cites this paper.

Few-shot LLM Synthetic Data with Distribution Matching Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-08T17:20:36.478212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b478ff1-c744-4863-b47d-ed88d23ab3f3 · inbound

ExeSQL: Self-Taught Text-to-SQL Models with Execution-Driven Bootstrapping for SQL Dialects cites this paper.

ExeSQL: Self-Taught Text-to-SQL Models with Execution-Driven Bootstrapping for SQL Dialects Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T14:56:01.049430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33813681-eb5d-418f-ad11-efa2fd5388e3 · inbound

All in One: A Unified Synthetic Data Pipeline for Multimodal Video Understanding cites this paper.

All in One: A Unified Synthetic Data Pipeline for Multimodal Video Understanding Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:31:03.933237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d2469264-f6d1-4aa5-9bff-23483fb9e404 · inbound

Optimizing the Preconditioner: A Black-box Online-to-Nonconvex Conversion with Static Regret Minimization Oracles cites this paper.

Optimizing the Preconditioner: A Black-box Online-to-Nonconvex Conversion with Static Regret Minimization Oracles Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning

Reference 204

Resolution: unresolved; no resolver link, observed 2026-08-01T17:38:09.384123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.