Paper Citation Record · LEDGER

Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2409.14781.

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

pith.paper-citation-record.v1
2409.14781 v6

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:15:21.454509Z

measured 0 of 1 external citation measurements

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 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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.