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Paper Citation Record · LEDGER

Unlearning Backdoor Attacks for LLMs with Weak-to-Strong Knowledge Distillation

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2410.14425.

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

pith.paper-citation-record.v1
2410.14425 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 2026-08-21T06:32:19.484+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:42:30.664548Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-04T22:33:35.067480Z

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 90578ed8-5e8b-408d-8439-2c446dd411de · inbound

CROW: Eliminating Backdoors from Large Language Models via Internal Consistency Regularization cites this paper.

CROW: Eliminating Backdoors from Large Language Models via Internal Consistency Regularization Unlearning Backdoor Attacks for LLMs with Weak-to-Strong Knowledge Distillation

Reference 757

Resolution
malformed identifier
no resolver link, observed 2026-08-12T18:42:30.664548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:42:30.664548Z digest=sha256:5d69e8c056d896e1e1262a6972556e3434aec79ac2f97854b818295376cf3462

Observation 3f6ffaf0-b77f-4a2e-ae59-01bfc23331ff · inbound

Uni-Retrieval: A Multi-Style Retrieval Framework for STEM's Education cites this paper.

Uni-Retrieval: A Multi-Style Retrieval Framework for STEM's Education Unlearning Backdoor Attacks for LLMs with Weak-to-Strong Knowledge Distillation

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-08T17:44:36.093424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T17:44:36.093424Z digest=sha256:a070a288b0b6b85f1a800b298e7edd8b97cea11eb0a24baa464c1cb044de4b30

Observation df2c6f5e-fb7c-43c7-aa81-ff0360a41cad · inbound

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models cites this paper.

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models Unlearning Backdoor Attacks for LLMs with Weak-to-Strong Knowledge Distillation

Reference 144

Resolution
unresolved
no resolver link, observed 2026-08-07T04:08:58.609891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:08:58.609891Z digest=sha256:5a1612b009b0d7e19735728cde18d803d2d2193d1bba1cff01534fbcb88b459b

Observation 7d302e1d-ed2d-465f-b611-571f5904c23b · 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 Unlearning Backdoor Attacks for LLMs with Weak-to-Strong Knowledge Distillation

Reference 131

Resolution
verified exact
local_arxiv, observed 2026-08-04T22:33:35.128520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-04T22:33:32.092707Z digest=sha256:869d5d0f0161d7ea5102f675cf1cf8c0de81a597c2b7a0e20741652d679b5dc2