Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Adaptive Pre-training Data Detection for Large Language Models via Surprising Tokens
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2407.21248.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T06:04:53.020257Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T16:49:57.314679Z
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 a98a9ab1-6b8a-4b80-9c24-153edb60978f · inbound
Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness cites this paper.
Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness Adaptive Pre-training Data Detection for Large Language Models via Surprising Tokens
Reference 74
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T06:04:53.020257Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4bf2253b-178e-4c61-8585-dbfa2db9c286 · inbound
Natural Identifiers for Privacy and Data Audits in Large Language Models cites this paper.
Natural Identifiers for Privacy and Data Audits in Large Language Models Adaptive Pre-training Data Detection for Large Language Models via Surprising Tokens
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T16:49:57.316421Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation b2e09395-5936-4da2-a409-2b3afc24ed94 · inbound
Dataset Usage Inference without Shadow Models or Held-out Data cites this paper.
Dataset Usage Inference without Shadow Models or Held-out Data Adaptive Pre-training Data Detection for Large Language Models via Surprising Tokens
Reference 54
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T15:09:54.801543Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.