Paper Citation Record · LEDGER

Targeted Attack on GPT-Neo for the SATML Language Model Data Extraction Challenge

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2302.07735.

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

pith.paper-citation-record.v1
2302.07735 v1

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 2026-08-18T06:34:40.430872+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:28:00.160426Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T10:16:09.499324Z

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 bf73594a-befb-4461-960b-209e12a93f59 · inbound

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures cites this paper.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Targeted Attack on GPT-Neo for the SATML Language Model Data Extraction Challenge

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T04:28:00.160426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6efd890-be3b-4d6b-9edc-651a73634121 · inbound

Data Compressibility Quantifies LLM Memorization cites this paper.

Data Compressibility Quantifies LLM Memorization Targeted Attack on GPT-Neo for the SATML Language Model Data Extraction Challenge

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-19T06:02:07.720920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e0f00680-95f7-4058-bfd6-78fd524e36b2 · inbound

MATRIX: Multi-Layer Code Watermarking via Dual-Channel Constrained Parity-Check Encoding cites this paper.

MATRIX: Multi-Layer Code Watermarking via Dual-Channel Constrained Parity-Check Encoding Targeted Attack on GPT-Neo for the SATML Language Model Data Extraction Challenge

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:08:26.632643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e647ebe5-fcc6-4762-9153-98d834ff1cf8 · inbound

The Poisoned Chalice of LLM Evaluation Report cites this paper.

The Poisoned Chalice of LLM Evaluation Report Targeted Attack on GPT-Neo for the SATML Language Model Data Extraction Challenge

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-07-09T10:16:09.501199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.