Paper Citation Record · LEDGER

Turning Generative Models Degenerate: The Power of Data Poisoning Attacks

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2407.12281.

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

pith.paper-citation-record.v1
2407.12281 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:24:12.385022Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T19:36:48.164696Z

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 de7be2f5-6984-44a4-9b89-035e0cde70ec · inbound

A Survey on Backdoor Threats in Large Language Models (LLMs): Attacks, Defenses, and Evaluations cites this paper.

A Survey on Backdoor Threats in Large Language Models (LLMs): Attacks, Defenses, and Evaluations Turning Generative Models Degenerate: The Power of Data Poisoning Attacks

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-09T00:50:00.267302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b471c27-1e93-4171-af90-0857c4df408c · inbound

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment cites this paper.

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment Turning Generative Models Degenerate: The Power of Data Poisoning Attacks

Reference 138

Resolution: unresolved; no resolver link, observed 2026-08-16T11:24:12.385022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8849ca2f-e013-46f3-b864-1cee1b6a3e8f · inbound

A Systematic Review of Poisoning Attacks Against Large Language Models cites this paper.

A Systematic Review of Poisoning Attacks Against Large Language Models Turning Generative Models Degenerate: The Power of Data Poisoning Attacks

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T05:59:32.236884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee4435dc-9bbe-4e29-8814-7d0ae6bdd191 · inbound

Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead cites this paper.

Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead Turning Generative Models Degenerate: The Power of Data Poisoning Attacks

Reference 148

Resolution: unresolved; no resolver link, observed 2026-08-06T21:36:33.829276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0c20b02-a535-423c-8c36-e7b66860fc62 · inbound

A Survey on Data Security in Large Language Models cites this paper.

A Survey on Data Security in Large Language Models Turning Generative Models Degenerate: The Power of Data Poisoning Attacks

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T05:05:01.918531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd022b9d-44ea-42cd-a008-1db11b12af63 · inbound

Layer-Wise Perturbations via Sparse Autoencoders for Adversarial Text Generation cites this paper.

Layer-Wise Perturbations via Sparse Autoencoders for Adversarial Text Generation Turning Generative Models Degenerate: The Power of Data Poisoning Attacks

Reference 175

Resolution: unresolved; no resolver link, observed 2026-08-05T20:31:49.641144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 631e639f-f704-498e-b00a-352104565a80 · inbound

Scam2Prompt: A Scalable Framework for Auditing Malicious Scam Endpoints in Production LLMs cites this paper.

Scam2Prompt: A Scalable Framework for Auditing Malicious Scam Endpoints in Production LLMs Turning Generative Models Degenerate: The Power of Data Poisoning Attacks

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-18T19:36:48.168548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.