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Paper Citation Record · LEDGER

BEEAR: Embedding-based Adversarial Removal of Safety Backdoors in Instruction-tuned Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2406.17092.

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

pith.paper-citation-record.v1
2406.17092 v1

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 2026-08-09T06:31:02.800959+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T00:50:00.769878Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T23:47:27.226675Z

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 dc40e1a5-4889-4a40-825f-56d560eaab59 · 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 BEEAR: Embedding-based Adversarial Removal of Safety Backdoors in Instruction-tuned Language Models

Reference 176

Resolution
verified exact
arxiv_id, observed 2026-05-23T20:58:25.935476Z

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.

source=pdf_text observed=2026-05-23T20:58:16.237327Z digest=sha256:ec15259eea49e445993e9a96d1f2c48a230db0ed01a17e791334a87023bbf7c4

Observation f82ec31d-fe1e-4d7e-a003-575d5e3cecf2 · 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 BEEAR: Embedding-based Adversarial Removal of Safety Backdoors in Instruction-tuned Language Models

Reference 198

Resolution
unresolved
no resolver link, observed 2026-08-09T00:50:00.769878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T00:50:00.769878Z digest=sha256:8608c9aa79899442df588e7a81f6f194d76b5b1e0595e6686b2af06228bb5ed5

Observation 6d182f9e-8673-4fc2-a16c-2ed5b9aae858 · inbound

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

Lethe: Purifying Backdoored Large Language Models with Knowledge Dilution BEEAR: Embedding-based Adversarial Removal of Safety Backdoors in Instruction-tuned Language Models

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-05T14:42:31.542848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:42:31.542848Z digest=sha256:cfa15baf8ac227e8fbfca847659db23cf0ecbebcfa9ebb6d43a8a8f36e6209fe

Observation e50f9962-085e-4cb6-add1-954b2f61a35f · inbound

Paladin: Defending LLM-enabled Phishing Emails with a New Trigger-Tag Paradigm cites this paper.

Paladin: Defending LLM-enabled Phishing Emails with a New Trigger-Tag Paradigm BEEAR: Embedding-based Adversarial Removal of Safety Backdoors in Instruction-tuned Language Models

Reference 113

Resolution
unresolved
no resolver link, observed 2026-08-04T22:33:30.961544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:33:30.961544Z digest=sha256:0347816bdab61703ea229a00fb74fcc02ded8fcd4a282473927029c995329d6a

Observation 19e1f3e2-0713-406a-9759-2155266e42ce · inbound

SCOUT: A Defense Against Data Poisoning Attacks in Fine-Tuned Language Models cites this paper.

SCOUT: A Defense Against Data Poisoning Attacks in Fine-Tuned Language Models BEEAR: Embedding-based Adversarial Removal of Safety Backdoors in Instruction-tuned Language Models

Reference 23

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T23:28:40.700929Z

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.

source=pdf_text observed=2026-05-16T23:26:48.405593Z digest=sha256:c334da43a84e9e6743e78413167f819236f9bc5c29ee88980575c07b31cf9196

Observation 9474130f-25f0-4dfd-80c1-39878784f773 · inbound

CSO-LLM: Class Subspace Orthogonalization for Post-Training Backdoor Detection and Trigger Inversion in LLMs cites this paper.

CSO-LLM: Class Subspace Orthogonalization for Post-Training Backdoor Detection and Trigger Inversion in LLMs BEEAR: Embedding-based Adversarial Removal of Safety Backdoors in Instruction-tuned Language Models

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-07-01T10:15:44.401194Z

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.

source=pdf_text observed=2026-07-01T05:42:10.497856Z digest=sha256:90e257db9232a6ba62fcc67aeefa3d687250b5575b0fc256573456387c681896

Observation 3ee4866e-b555-44a8-968b-fce36d798a07 · inbound

PRA-RAG: Provably Robust Aggregation in Retrieval-Augmented Generation against Retrieval Corruption cites this paper.

PRA-RAG: Provably Robust Aggregation in Retrieval-Augmented Generation against Retrieval Corruption BEEAR: Embedding-based Adversarial Removal of Safety Backdoors in Instruction-tuned Language Models

Reference 57

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T23:47:27.228049Z

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.

source=arxiv_source observed=2026-07-02T23:42:23.695930Z digest=sha256:6a0fd852c5e5765c2c792cb9385412378ab1c69493b35cf278898f0a31db0304