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Paper Citation Record · LEDGER

Gradient-Based Language Model Red Teaming

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2401.16656.

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

pith.paper-citation-record.v1
2401.16656 v1

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 2026-08-10T06:31:04.303077+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T00:50:00.133961Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:50:11.049324Z

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 92d0f97e-dda9-4f88-ad7b-fab6b54827dc · 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 Gradient-Based Language Model Red Teaming

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-09T00:50:00.133961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T00:50:00.133961Z digest=sha256:86e7007970311813ce4c184a23b6779caeab449396a691ae0708703f9d2ad032

Observation 064236c4-74dc-4f65-b741-017df78c3397 · inbound

Adversarial Preference Learning for Robust LLM Alignment cites this paper.

Adversarial Preference Learning for Robust LLM Alignment Gradient-Based Language Model Red Teaming

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:22.881373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:22.881373Z digest=sha256:8e0c3cbf4ef3a80b907c4783102f599e6bfaa3217a88a411f59313a0fa8478b5

Observation fad229eb-11d2-41bf-ab1c-f7dffb7af810 · inbound

A Red Teaming Framework for Large Language Models: A Case Study on Faithfulness Evaluation cites this paper.

A Red Teaming Framework for Large Language Models: A Case Study on Faithfulness Evaluation Gradient-Based Language Model Red Teaming

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-07-04T19:50:11.051768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-25T20:58:53.119386Z digest=sha256:2ece21a9c28e625869cba2e252b9bc2321797203d0e1842d01a61479b51134d2

Observation ecb6b07b-efd0-4b93-b208-a00c796b8c7d · inbound

A Red Teaming Framework for Large Language Models: A Case Study on Faithfulness Evaluation cites this paper.

A Red Teaming Framework for Large Language Models: A Case Study on Faithfulness Evaluation Gradient-Based Language Model Red Teaming

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-02T10:16:41.169950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T10:16:41.169950Z digest=sha256:0039177e25fbd41d8e8e0ddaf7c7089f256fbc30042f1df6ea97929e499a0322