Paper Citation Record · LEDGER

Language Models May Verbatim Complete Text They Were Not Explicitly Trained On

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2503.17514.

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

pith.paper-citation-record.v1
2503.17514 v2

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 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:53:57.502608Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-06-28T19:42:36.165200Z

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 539d22a9-df9f-44cc-8a25-47c4f64ab77e · inbound

Counterfactual Influence as a Distributional Quantity cites this paper.

Counterfactual Influence as a Distributional Quantity Language Models May Verbatim Complete Text They Were Not Explicitly Trained On

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-06T22:53:57.502608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5d0c0a6-2ab9-44e3-b6bb-e2855e81e285 · inbound

A Unified Framework for Adversary-Aware Differential Privacy Bounds cites this paper.

A Unified Framework for Adversary-Aware Differential Privacy Bounds Language Models May Verbatim Complete Text They Were Not Explicitly Trained On

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T18:37:40.861775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3071bb95-f90f-47d1-a6d8-047a650a0c6c · inbound

Beyond Indistinguishability: Measuring Extraction Risk in LLM APIs cites this paper.

Beyond Indistinguishability: Measuring Extraction Risk in LLM APIs Language Models May Verbatim Complete Text They Were Not Explicitly Trained On

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:06:01.989326Z

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 2fb09eea-a391-471d-b24b-5de86a5f2827 · inbound

"I Strongly Suspect This Website Is a Scam": Benchmarking PII Leakage and Detection without Defense in Autonomous Web Agents cites this paper.

"I Strongly Suspect This Website Is a Scam": Benchmarking PII Leakage and Detection without Defense in Autonomous Web Agents Language Models May Verbatim Complete Text They Were Not Explicitly Trained On

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T19:42:36.166723Z

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.