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Paper Citation Record · LEDGER

GenBFA: An Evolutionary Optimization Approach to Bit-Flip Attacks on LLMs

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2411.13757.

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

pith.paper-citation-record.v1
2411.13757 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T17:46:16.161695Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T08:29:42.356230Z

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 f3c48745-4f6c-4202-8252-e15559ad48f3 · inbound

LLM in the Middle: A Systematic Review of Threats and Mitigations to Real-World LLM-based Systems cites this paper.

LLM in the Middle: A Systematic Review of Threats and Mitigations to Real-World LLM-based Systems GenBFA: An Evolutionary Optimization Approach to Bit-Flip Attacks on LLMs

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-04T17:46:16.161695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:46:16.161695Z digest=sha256:1814c16faffa425eeffcb7edcd4378408f7fefbb7e65a6ab56fcda0d1460590c

Observation a0c8b0b3-e6ef-441f-9f16-d0f9391c54a0 · inbound

CacheTrap: Unveiling a Stealthier Gray-Box Trojan against LLMs cites this paper.

CacheTrap: Unveiling a Stealthier Gray-Box Trojan against LLMs GenBFA: An Evolutionary Optimization Approach to Bit-Flip Attacks on LLMs

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-17T04:14:00.210760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-17T04:13:13.231293Z digest=sha256:07e83d285290ac806afe77cfaf3865a3d92bca6e67884d8f78598d5530dcaf6c

Observation 0832b4c8-2fe7-4356-94e0-8bb995c05a57 · inbound

Enhancing Operational Safety via Agentic Dialogue Hazard Identification Analysis cites this paper.

Enhancing Operational Safety via Agentic Dialogue Hazard Identification Analysis GenBFA: An Evolutionary Optimization Approach to Bit-Flip Attacks on LLMs

Reference 20

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T03:46:32.513144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T09:43:35.007410Z digest=sha256:a9e061992e94de1e09f297af1d11be208b41882971cfa9ea9f383b887985172f

Observation 8f64111e-8db5-4523-a5f7-0f8b5e84ff41 · inbound

Investigating The Security of Modern AI and Cloud Infrastructure cites this paper.

Investigating The Security of Modern AI and Cloud Infrastructure GenBFA: An Evolutionary Optimization Approach to Bit-Flip Attacks on LLMs

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-07-04T08:29:42.357848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-26T11:31:39.910784Z digest=sha256:5857d884daf8143d4ca886dffed21bb31d00bc60285ef5d52c48ff9cd536959b

Observation 03e4d2d8-c38b-4358-8cad-134c67f47699 · 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 GenBFA: An Evolutionary Optimization Approach to Bit-Flip Attacks on LLMs

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-01T03:06:36.002936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T03:06:36.002936Z digest=sha256:7c32156f653af65024b01cd114dd37e15c166953a84cce32cb5395fdc49850cd