Paper Citation Record · LEDGER

MEGen: Generative Backdoor into Large Language Models via Model Editing

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2408.10722.

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

pith.paper-citation-record.v1
2408.10722 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 2026-08-09T10:32:31.313592Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T21:02:58.833547Z

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 0b9b8b54-a29f-4226-812d-fdfb12ec3cc4 · inbound

Position: Editing Large Language Models Poses Serious Safety Risks cites this paper.

Position: Editing Large Language Models Poses Serious Safety Risks MEGen: Generative Backdoor into Large Language Models via Model Editing

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-09T10:32:31.313592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d67f5933-14fd-4983-9f2f-b5e4a2fdf67f · 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 MEGen: Generative Backdoor into Large Language Models via Model Editing

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-09T00:50:00.159324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98057691-fa9a-41f3-ad28-007443f452f3 · inbound

Benchmarking Safety Risks of Knowledge-Intensive Reasoning under Malicious Knowledge Editing cites this paper.

Benchmarking Safety Risks of Knowledge-Intensive Reasoning under Malicious Knowledge Editing MEGen: Generative Backdoor into Large Language Models via Model Editing

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:06:28.304465Z

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 c466dccb-ba5d-48ba-a227-5ed31243e1dd · inbound

BackFlush: Knowledge-Free Backdoor Detection and Elimination with Watermark Preservation in Large Language Models cites this paper.

BackFlush: Knowledge-Free Backdoor Detection and Elimination with Watermark Preservation in Large Language Models MEGen: Generative Backdoor into Large Language Models via Model Editing

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:02:58.835956Z

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.