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Paper Citation Record · LEDGER

Current state of LLM Risks and AI Guardrails

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 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 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:30:51.721164Z

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-23T20:58:16.237327Z digest=sha256:eb68c13ba2e336943f695458ba3ff69c5e4dc7d6191d3416d5ef0b97b954dafb

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-23T19:07:21.016824Z digest=sha256:f84f1fc975960be198fe78ce9dd6f899a32f7e4759bc6a068f323c10ac71d3c3

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.

source=pdf_text observed=2026-08-07T14:30:51.721164Z digest=sha256:3e7f115413bcf9620947e78d9442ee0d2241305802a96ef2d9ce051db0f48f1b

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.

source=pdf_text observed=2026-08-06T22:55:51.952751Z digest=sha256:cb611ec40a2b63798aa30b7b904471bf1ea7bb611f4761a1c45f83b3cfea2146

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.

source=pdf_text observed=2026-08-06T20:13:24.486680Z digest=sha256:3025d46d5c850fdc146e051843e1a46ddd3ee16015683118634fe4b5912651e1

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.

source=arxiv_source observed=2026-08-06T14:17:33.944174Z digest=sha256:f3a4c26506ee756f920eaf75a36ebd58f2239ecc11160eb7eed21cc6b631e024

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.

source=pdf_text observed=2026-08-05T16:42:04.046515Z digest=sha256:82c1f186c09b6220bb521281e1cb09c29b5d72ef885420b3d15e9ae931612aae

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-21T20:42:40.823721Z digest=sha256:97778b566a1573c28926b9a43ca2db88a23eac74c6053f2bc512447f5016499b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T03:42:10.703369Z digest=sha256:779072f66e64b499cea79ae9baafc5f62e90377f439bcb56704f3c64d2615dbf

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T06:07:23.060966Z digest=sha256:674b2c98be8c3a39e63638d08fcbdba8e1b1c66540352d9472afdc73714e45fe

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T18:58:18.436603Z digest=sha256:392c47f691cab282580274d63742c8ca2b2d69908542fd079f93c4a24ec6597a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T18:19:55.849451Z digest=sha256:23dbb1260ee491158b63a51b7e481bc78161930776a8073e5dd4d6c399335cb8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-21T09:27:05.332950Z digest=sha256:8cae9e4274729158e33a0db444309ee51b961462d6e4b37013e8db5b121ddc21

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T08:17:10.481202Z digest=sha256:f36498dab284455b0b798265e98980f3babab6a3084cd0bfa5542d7a8bc66844

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-30T19:37:22.523709Z digest=sha256:ead078ba68a8b61e5362bef43ed44320abc5b564a2432d6e226c3775a920d4eb

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.

source=arxiv_source observed=2026-08-01T06:04:46.405429Z digest=sha256:983829fec4c1d7ff81800cf2f27c9b6b26d125f964eef9234c0b1a47a1c98c4e