Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Bring Your Own Data! Self-Supervised Evaluation for Large Language Models
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2306.13651.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T22:36:35.226801Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-24T04:13:52.538741Z
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 66c9d1d6-847e-490b-9b9c-80c427841ed6 · inbound
Baseline Defenses for Adversarial Attacks Against Aligned Language Models cites this paper.
Baseline Defenses for Adversarial Attacks Against Aligned Language Models Bring Your Own Data! Self-Supervised Evaluation for Large Language Models
Reference 26
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T23:24:40.143576Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 6f9a5829-ef34-4bf2-b5d0-3bb75e41c97a · inbound
Data-Centric Foundation Models in Computational Healthcare: A Survey cites this paper.
Data-Centric Foundation Models in Computational Healthcare: A Survey Bring Your Own Data! Self-Supervised Evaluation for Large Language Models
Reference 126
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T04:13:52.542909Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 175468ec-4f7d-45fd-8f04-b898cede2d09 · inbound
Benchmark Data Contamination of Large Language Models: A Survey cites this paper.
Benchmark Data Contamination of Large Language Models: A Survey Bring Your Own Data! Self-Supervised Evaluation for Large Language Models
Reference 71
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T23:10:40.993713Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 648363cf-e420-45be-87f3-e164805f6cec · inbound
Verifiable Format Control for Large Language Model Generations cites this paper.
Verifiable Format Control for Large Language Model Generations Bring Your Own Data! Self-Supervised Evaluation for Large Language Models
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T22:36:35.226801Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1ff757e7-e5de-49e2-bc5b-8721fff27bb0 · inbound
Guardians and Offenders: A Survey on Harmful Content Generation and Safety Mitigation of LLM cites this paper.
Guardians and Offenders: A Survey on Harmful Content Generation and Safety Mitigation of LLM Bring Your Own Data! Self-Supervised Evaluation for Large Language Models
Reference 187
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T23:13:05.114655Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.