Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Automated Data Curation for Robust Language Model Fine-Tuning
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2403.12776.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T05:13:41.387578Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T05:56:25.250034Z
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 23c2952e-7647-4a54-8f30-effa7d85d945 · inbound
ROSE: A Reward-Oriented Data Selection Framework for LLM Task-Specific Instruction Tuning cites this paper.
ROSE: A Reward-Oriented Data Selection Framework for LLM Task-Specific Instruction Tuning Automated Data Curation for Robust Language Model Fine-Tuning
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T05:13:41.387578Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2e9bd6db-01e7-4667-ad99-1bc02f171166 · inbound
Bridging the Gap: Enhancing LLM Performance for Low-Resource African Languages with New Benchmarks, Fine-Tuning, and Cultural Adjustments cites this paper.
Bridging the Gap: Enhancing LLM Performance for Low-Resource African Languages with New Benchmarks, Fine-Tuning, and Cultural Adjustments Automated Data Curation for Robust Language Model Fine-Tuning
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T14:11:46.484358Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 08c747b1-ddbe-4942-8abc-c6151396e9a1 · inbound
Evaluating Sample Utility for Efficient Data Selection by Mimicking Model Weights cites this paper.
Evaluating Sample Utility for Efficient Data Selection by Mimicking Model Weights Automated Data Curation for Robust Language Model Fine-Tuning
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:02:00.880561Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f23739a4-fc28-45ba-84e5-23b9f1149386 · inbound
Unsupervised Confidence Calibration for Reasoning LLMs from a Single Generation cites this paper.
Unsupervised Confidence Calibration for Reasoning LLMs from a Single Generation Automated Data Curation for Robust Language Model Fine-Tuning
Reference 88
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T03:14:07.741456Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation fa7c981b-54b6-4831-8434-744f169355f6 · inbound
Learning Multi-Indicator Weights for Data Selection: A Joint Task-Model Adaptation Framework with Efficient Proxies cites this paper.
Learning Multi-Indicator Weights for Data Selection: A Joint Task-Model Adaptation Framework with Efficient Proxies Automated Data Curation for Robust Language Model Fine-Tuning
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T05:56:25.255971Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.