Paper Citation Record · LEDGER

Current state of LLM Risks and AI Guardrails

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2406.12934.

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

pith.paper-citation-record.v1
2406.12934 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 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 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T19:23:59.684692Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

16
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 43bd2c5b-7202-4808-9f9a-460441c6a07b · 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 Current state of LLM Risks and AI Guardrails

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:58:25.798452Z

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.

Observation 3d3dc8c8-ba83-4031-a6dc-8155556c349d · inbound

From Cool Demos to Production-Ready FMware: Core Challenges and a Technology Roadmap cites this paper.

From Cool Demos to Production-Ready FMware: Core Challenges and a Technology Roadmap Current state of LLM Risks and AI Guardrails

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-23T19:08:20.978686Z

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.

Observation 2fdfa88c-2df6-4fa6-bffe-35ed8728c1b2 · inbound

Agentic AI Systems Applied to tasks in Financial Services: Modeling and model risk management crews cites this paper.

Agentic AI Systems Applied to tasks in Financial Services: Modeling and model risk management crews Current state of LLM Risks and AI Guardrails

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-08T19:23:59.684692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7fbef2e-60b7-42f5-851e-ab72f06bed07 · inbound

Anonymity-washing cites this paper.

Anonymity-washing Current state of LLM Risks and AI Guardrails

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T14:30:51.721164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3bb7b1d-ae58-4a2e-b656-1e7407dacb6a · inbound

ChatGPT is not A Man but Das Man: Representativeness and Structural Consistency of Silicon Samples Generated by Large Language Models cites this paper.

ChatGPT is not A Man but Das Man: Representativeness and Structural Consistency of Silicon Samples Generated by Large Language Models Current state of LLM Risks and AI Guardrails

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T22:55:51.952751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5187b6f-bd5a-4ae4-bb75-e7a85cedb736 · inbound

H2HTalk: Evaluating Large Language Models as Emotional Companion cites this paper.

H2HTalk: Evaluating Large Language Models as Emotional Companion Current state of LLM Risks and AI Guardrails

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T20:13:24.486680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a4b65dc-e703-4c74-bf6e-4852814bd122 · inbound

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? cites this paper.

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? Current state of LLM Risks and AI Guardrails

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T14:17:33.944174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c77ab2c3-718e-4d30-aa7d-d29aab246581 · inbound

The AI Data Scientist cites this paper.

The AI Data Scientist Current state of LLM Risks and AI Guardrails

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T16:42:04.046515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 916525c4-30d1-489e-bf15-2d867eb41bb7 · inbound

From Refusal to Recovery: A Control-Theoretic Approach to Generative AI Guardrails cites this paper.

From Refusal to Recovery: A Control-Theoretic Approach to Generative AI Guardrails Current state of LLM Risks and AI Guardrails

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-21T20:44:21.978362Z

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.

Observation 3b90ab01-0396-43ce-a36f-c7fa83f44846 · inbound

Agentic AI Security: Threats, Defenses, Evaluation, and Open Challenges cites this paper.

Agentic AI Security: Threats, Defenses, Evaluation, and Open Challenges Current state of LLM Risks and AI Guardrails

Reference 203

Resolution: verified exact; arxiv_id, observed 2026-05-18T03:42:22.295882Z

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.

Observation ff8d67bf-ec88-4156-be56-a4d5dc4601c5 · inbound

Bielik Guard: Efficient Polish Language Safety Classifiers for LLM Content Moderation cites this paper.

Bielik Guard: Efficient Polish Language Safety Classifiers for LLM Content Moderation Current state of LLM Risks and AI Guardrails

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T06:07:25.561399Z

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.

Observation 5c63187f-3177-4aa6-a252-0007a9e9e8b8 · inbound

Context Collapse: Barriers to Adoption for Generative AI in Workplace Settings cites this paper.

Context Collapse: Barriers to Adoption for Generative AI in Workplace Settings Current state of LLM Risks and AI Guardrails

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:35:52.629009Z

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.

Observation bdcdf383-edd3-40a1-ba75-efe9bd5aad76 · inbound

U-Define: Designing User Workflows for Hard and Soft Constraints in LLM-Based Planning cites this paper.

U-Define: Designing User Workflows for Hard and Soft Constraints in LLM-Based Planning Current state of LLM Risks and AI Guardrails

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:35:39.001194Z

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.

Observation cf131349-34ab-4699-8017-1a95b900bc38 · inbound

From Intent to AI Pipelines: A Controlled Agentic Framework for Non-AI Expert Scientists cites this paper.

From Intent to AI Pipelines: A Controlled Agentic Framework for Non-AI Expert Scientists Current state of LLM Risks and AI Guardrails

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-21T09:29:57.005206Z

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.

Observation 11a947c0-0aa1-4f04-a916-00f638d57b21 · inbound

Prompt Governance? On Governing Technologies Governed by Natural Language cites this paper.

Prompt Governance? On Governing Technologies Governed by Natural Language Current state of LLM Risks and AI Guardrails

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-01T08:25:32.855501Z

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.

Observation 66138e94-8153-4161-bf52-6de23cab89cb · inbound

AInterviewer: A Platform for Designing and Conducting AI-led Qualitative Interviews cites this paper.

AInterviewer: A Platform for Designing and Conducting AI-led Qualitative Interviews Current state of LLM Risks and AI Guardrails

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T19:45:00.943385Z

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.

Observation ee5fafa2-c378-40f7-ab88-0c82782a1230 · inbound

Agent Security Needs Redefinition through a Holistic Framework cites this paper.

Agent Security Needs Redefinition through a Holistic Framework Current state of LLM Risks and AI Guardrails

Reference 227

Resolution: unresolved; no resolver link, observed 2026-08-01T06:04:46.405429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.