Paper Citation Record · LEDGER

Dynamic Guided and Domain Applicable Safeguards for Enhanced Security in Large Language Models

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2410.17922.

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

pith.paper-citation-record.v1
2410.17922 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 2026-08-19T06:32:44.657259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:21:41.837763Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-09T16:18:41.469587Z

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 e6093929-e30d-4c6a-9948-a5c1943b3a13 · inbound

Disentangling Memory and Reasoning Ability in Large Language Models cites this paper.

Disentangling Memory and Reasoning Ability in Large Language Models Dynamic Guided and Domain Applicable Safeguards for Enhanced Security in Large Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T16:25:36.812531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 834e3454-ed9c-4937-b478-b541885fde2f · inbound

On Almost Surely Safe Alignment of Large Language Models at Inference-Time cites this paper.

On Almost Surely Safe Alignment of Large Language Models at Inference-Time Dynamic Guided and Domain Applicable Safeguards for Enhanced Security in Large Language Models

Reference 96

Resolution: verified exact; local_arxiv, observed 2026-08-09T16:18:41.475394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fca86154-6e81-42d2-8d1f-61778e562eb2 · 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 Dynamic Guided and Domain Applicable Safeguards for Enhanced Security in Large Language Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-04T17:46:13.452958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac9f0e27-d326-4eec-9f14-b301ec887b20 · inbound

On Understanding, Identifying, and Mitigating Vulnerabilities in Agentic Large Language Models cites this paper.

On Understanding, Identifying, and Mitigating Vulnerabilities in Agentic Large Language Models Dynamic Guided and Domain Applicable Safeguards for Enhanced Security in Large Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T14:21:41.837763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.