Paper Citation Record · LEDGER

BadEdit: Backdooring large language models by model editing

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2403.13355.

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

pith.paper-citation-record.v1
2403.13355 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:03:48.183482Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T20:47:23.476517Z

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 5a14bf60-f667-486a-b572-1b1dbcac1001 · inbound

Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey cites this paper.

Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey BadEdit: Backdooring large language models by model editing

Reference 93

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:58:26.018600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 150e10ab-4830-4988-b780-e4a23cb89c6c · inbound

Agent Security Bench (ASB): Formalizing and Benchmarking Attacks and Defenses in LLM-based Agents cites this paper.

Agent Security Bench (ASB): Formalizing and Benchmarking Attacks and Defenses in LLM-based Agents BadEdit: Backdooring large language models by model editing

Reference 118

Resolution: verified exact; arxiv_id, observed 2026-05-12T13:36:57.148449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4e7d38cf-590b-45fa-9fdc-558742853d65 · inbound

A Survey on Proactive Defense Strategies Against Misinformation in Large Language Models cites this paper.

A Survey on Proactive Defense Strategies Against Misinformation in Large Language Models BadEdit: Backdooring large language models by model editing

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T20:03:48.183482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72d1c7d9-32e5-4099-8cd9-af10e0b78999 · inbound

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

A Survey on Data Security in Large Language Models BadEdit: Backdooring large language models by model editing

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T05:05:02.428508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96acead6-99a4-4235-83b9-d97f02eb7c00 · inbound

Lethe: Purifying Backdoored Large Language Models with Knowledge Dilution cites this paper.

Lethe: Purifying Backdoored Large Language Models with Knowledge Dilution BadEdit: Backdooring large language models by model editing

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T14:42:31.432721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d818b965-0741-40c7-b5a8-74fb924f1c00 · inbound

Stealthy Backdoor Attacks against LLMs Based on Natural Style Triggers cites this paper.

Stealthy Backdoor Attacks against LLMs Based on Natural Style Triggers BadEdit: Backdooring large language models by model editing

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:31:07.689757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 12474c24-03fb-40e9-92f4-b8df7ffd5f8b · inbound

Defusing the Trigger: Plug-and-Play Defense for Backdoored LLMs via Tail-Risk Intrinsic Geometric Smoothing cites this paper.

Defusing the Trigger: Plug-and-Play Defense for Backdoored LLMs via Tail-Risk Intrinsic Geometric Smoothing BadEdit: Backdooring large language models by model editing

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:16:24.926806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f6bc9358-9eaa-4e15-baea-ed5b5cd19091 · 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 BadEdit: Backdooring large language models by model editing

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:02:58.945230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6fc63741-30eb-4c4a-8cdd-420aa259bb99 · inbound

Shared Latent Structures Enable Unified Backdoor Detection and Mitigation in LLMs cites this paper.

Shared Latent Structures Enable Unified Backdoor Detection and Mitigation in LLMs BadEdit: Backdooring large language models by model editing

Reference 67

Resolution: verified exact; arxiv_id, observed 2026-07-02T20:47:23.478007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 14b69195-6067-49fc-b654-f95d5d4da12c · inbound

When the Aggregator Cheats: Data-Free Backdoors in Federated LLM-based QA Systems cites this paper.

When the Aggregator Cheats: Data-Free Backdoors in Federated LLM-based QA Systems BadEdit: Backdooring large language models by model editing

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-07-01T18:45:58.975180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3902fdf2-5aa2-4080-a33d-596d765adeea · inbound

FORGE: Research-Trajectory Hijacking Attacks on Deep Research Agents cites this paper.

FORGE: Research-Trajectory Hijacking Attacks on Deep Research Agents BadEdit: Backdooring large language models by model editing

Reference 33

Resolution: unresolved; no resolver link, observed 2026-07-11T14:39:55.782891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f16240b-2b53-411c-97a9-d857763adc54 · inbound

Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks cites this paper.

Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks BadEdit: Backdooring large language models by model editing

Reference 65

Resolution: unresolved; no resolver link, observed 2026-07-13T02:46:49.236604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ece453c4-638c-4244-aa96-d628575fb100 · inbound

(A)iSpy: Parasitic Trojans for Machine Learning Infrastructure cites this paper.

(A)iSpy: Parasitic Trojans for Machine Learning Infrastructure BadEdit: Backdooring large language models by model editing

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-01T17:46:59.257502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7b2050d-7323-4533-bd84-53b21c34529c · inbound

Decision-Level Hijacking: Injecting Cognitive Bias into Large Language Models via Bit-Flip Attacks cites this paper.

Decision-Level Hijacking: Injecting Cognitive Bias into Large Language Models via Bit-Flip Attacks BadEdit: Backdooring large language models by model editing

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T03:06:37.020714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.