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Paper Citation Record · LEDGER

BadEdit: Backdooring large language models by model editing

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 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 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:07:36.243300Z

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-23T20:58:16.237327Z digest=sha256:c8d54e3ab7bdf9954a2cae3fad34ca89ce854de857201bdd164beef94f066547

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-12T13:36:57.011451Z digest=sha256:c9da117086b8598b73c4ee755e96ccc4de83797556a0c7fb4b60774cfdbc739e

Observation 7b81a080-d614-4825-8d0b-482e68e2f5ed · inbound

Neutralizing Backdoors through Information Conflicts for Large Language Models cites this paper.

Neutralizing Backdoors through Information Conflicts for Large Language Models BadEdit: Backdooring large language models by model editing

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-12T11:25:31.806553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:25:31.806553Z digest=sha256:7780767174285feb073b0ef1295fa9c63833e2e8b565ed1ed401d469414393fd

Observation bc5c0926-80df-4046-9355-f3878cbba19b · inbound

A Survey on Privacy Risks and Protection in Large Language Models cites this paper.

A Survey on Privacy Risks and Protection in Large Language Models BadEdit: Backdooring large language models by model editing

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-16T04:07:36.243300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:07:36.243300Z digest=sha256:f81ddd67cfe115e8e194ea8b1afd9bed331d98fbec9fb42dc2d6ca406676563e

Observation 628fe84c-8ec4-4550-aa94-da02ecb0e4e6 · inbound

BadLingual: A Novel Lingual-Backdoor Attack against Large Language Models cites this paper.

BadLingual: A Novel Lingual-Backdoor Attack against Large Language Models BadEdit: Backdooring large language models by model editing

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-15T23:54:42.787131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:54:42.787131Z digest=sha256:d56e8980a35a97f9e283123df093073cde4a79c1af5342e8d6217ef82dd0dd04

Observation fc92ec7a-302d-4d4a-b93c-805ff9a70614 · inbound

A Survey of Attacks on Large Language Models cites this paper.

A Survey of Attacks on Large Language Models BadEdit: Backdooring large language models by model editing

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-15T20:34:34.334790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:34:34.334790Z digest=sha256:1251771cfe3b6c1bf42ce32af2e8c35814d7273e399faffc5c3482475ab8d93c

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.

source=arxiv_source observed=2026-08-06T20:03:48.183482Z digest=sha256:6465d5ecf5e8dbb47768dfe99a182b9ff012d2c2d745a1dfaf7e0029935346d6

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.

source=pdf_text observed=2026-08-06T05:05:02.428508Z digest=sha256:cdfebedc32317a283c8d09c6286ddf22b6761baa946a38beafb43f6222c790e0

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.

source=pdf_text observed=2026-08-05T14:42:31.432721Z digest=sha256:aca1d964bf400213e6e180226109bc838cd3cbbd1ed1ae78350537cc21d156dc

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-09T21:37:43.177370Z digest=sha256:b0ebf07209c5c88c6a78ed98133224b4caf0817f6babdadb94b831f2fa3fe57b

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-08T03:09:43.879809Z digest=sha256:06c027131284e643304b74a9698a261dcbdb6bfca75225586de586621dba7442

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-14T21:01:10.756844Z digest=sha256:4b6c0c773027a428aa429e9b26dcdce2c0cbcdafe2f1771079f3dad7e90ac57c

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-06-27T20:05:30.325338Z digest=sha256:ee7956786a592697b324400f2593a1b56582c1bbefe722347c2343d9d7e4d287

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-29T01:39:19.183198Z digest=sha256:72dd1927f9f2060e6983310d44ed3bce500914c4c36ac58e4a6039110a2becf4

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.

source=arxiv_source observed=2026-07-11T14:39:55.782891Z digest=sha256:d680e6a6cc522cbc08c572825fecd2fcb025682e0026ca657c7d6372cf33def9

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.

source=pdf_text observed=2026-07-13T02:46:49.236604Z digest=sha256:147ca108514df8db44e6cadf0825d422849137e7a5041b7efea43b92dd162100

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.

source=pdf_text observed=2026-08-01T17:46:59.257502Z digest=sha256:a5ab468932860a78b73943961443fe932c186ca714d4e853a79df356ed06e2ce

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.

source=pdf_text observed=2026-08-01T03:06:37.020714Z digest=sha256:0e434e1543f29aa2c6ecd1de9c6a12cd82b6c139b4891d6da277902ed061287a