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Paper Citation Record · LEDGER

On the Exploitability of Instruction Tuning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2306.17194.

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

pith.paper-citation-record.v1
2306.17194 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T00:50:00.293834Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T10:45:42.816500Z

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 f2f9759f-c822-489a-ab22-46df4cd0806d · 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 On the Exploitability of Instruction Tuning

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-09T00:50:00.293834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T00:50:00.293834Z digest=sha256:0672c1bdb7e33f75341427a203712371aa3f336e8b24c785778b294729c7a5c0

Observation 55dc127c-b70b-45b9-b271-af0b6492bc1c · inbound

Large Language Models in Cybersecurity: Applications, Vulnerabilities, and Defense Techniques cites this paper.

Large Language Models in Cybersecurity: Applications, Vulnerabilities, and Defense Techniques On the Exploitability of Instruction Tuning

Reference 175

Resolution
unresolved
no resolver link, observed 2026-08-06T16:24:30.452166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:24:30.452166Z digest=sha256:44cfde418cd11b1d2cd95b037d4293a35b0c3ddcbef6c01f3463186f4bf8abbc

Observation 3acc0f2b-26b7-4fdf-a8c0-9e619d7cac16 · inbound

Self-Study Reconsidered: The Hidden Fragility of Learning from Self-Generated QA cites this paper.

Self-Study Reconsidered: The Hidden Fragility of Learning from Self-Generated QA On the Exploitability of Instruction Tuning

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-07-01T10:45:42.817846Z

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=2026-07-01T05:07:58.441326Z digest=sha256:decc785472bc9ea6c7b4bfecd21dd05dc3281eb9ec837a067d18c5ef1e8bde58