Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2409.14781.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:18:49.161581Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T20:57:23.314837Z
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 9e7b95e0-4ba4-4d80-8a4b-3bf523483d1a · inbound
Self-Reflective Planning with Knowledge Graphs: Enhancing LLM Reasoning Reliability for Question Answering cites this paper.
Self-Reflective Planning with Knowledge Graphs: Enhancing LLM Reasoning Reliability for Question Answering Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:18:49.161581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 637cefb0-2249-407d-885f-c228f6cf9551 · inbound
Identifying Pre-training Data in LLMs: A Neuron Activation-Based Detection Framework cites this paper.
Identifying Pre-training Data in LLMs: A Neuron Activation-Based Detection Framework Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method
Reference 61
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:15:21.454509Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7fc4b8d2-cf88-4f0a-b520-a16a19c6c187 · inbound
Investigating Training Data Detection in AI Coders cites this paper.
Investigating Training Data Detection in AI Coders Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T14:51:53.845119Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fe8683d4-a5ee-4a1b-8324-728973be40e7 · inbound
Filling the Gaps: Selective Knowledge Augmentation for LLM Recommenders cites this paper.
Filling the Gaps: Selective Knowledge Augmentation for LLM Recommenders Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method
Reference 59
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T06:31:01.654876Z
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 c8181a8a-0d7b-4f30-96d3-61fca2a7470a · inbound
MC-PDD: Masked Corpus-Level Pretraining Data Detection for Black-Box Large Language Models cites this paper.
MC-PDD: Masked Corpus-Level Pretraining Data Detection for Black-Box Large Language Models Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T20:57:23.317104Z
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.