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Paper Citation Record · LEDGER

GAF-Guard: An Agentic Framework for Risk Management and Governance in Large Language Models

As of 20 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 1 inbound Pith citation observation for arXiv:2507.02986.

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

pith.paper-citation-record.v1
2507.02986 v2

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:16:27.015762Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T23:28:47.480408Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T15:47:06.367871Z

Reference resolution

26 of 26 outbound references displayed

  • verified exact1
  • verified fuzzy10
  • unresolved15
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4b5f610c-14a6-49fc-a5e7-77976b7a5608 · outbound

This paper cites Large language models (llms): Risks and policy implications.

GAF-Guard: An Agentic Framework for Risk Management and Governance in Large Language Models Large language models (llms): Risks and policy implications

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:16:30.879926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:16:24.255921Z digest=sha256:ccc1aee3a4940a252782542dd10c150ab235ef785f1228e1b9d74179290b453f

Observation 4e599917-1a1d-40ba-94b9-9b3c4ce6d4cb · outbound

This paper cites an unresolved cited work.

GAF-Guard: An Agentic Framework for Risk Management and Governance in Large Language Models Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:16:30.650760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:16:24.380259Z digest=sha256:61e9b11d7e72a3f2cce31910751fd3b94316cc0e7ce22a6b1bf8a94d07bb1366

Observation 15d93d8f-7bbc-44a9-98b1-4f5a45595054 · outbound

This paper cites an unresolved cited work.

GAF-Guard: An Agentic Framework for Risk Management and Governance in Large Language Models Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:16:30.460153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:16:24.528657Z digest=sha256:1b702eba1d8ae4d0e3f71eab15ec600a879c8afa1937b56140e99e0311225620

Observation 8504aaa2-4d24-4a12-a211-46e347efeae8 · outbound

This paper cites an unresolved cited work.

GAF-Guard: An Agentic Framework for Risk Management and Governance in Large Language Models Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:16:30.193978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:16:24.634187Z digest=sha256:089c431b9f44bbb35c9a62757da1837d9b37d291569c7ed3ed13ac81b7501b8a

Observation 54923377-9bd5-4f5e-bb32-0ba5ce22dacb · outbound

This paper cites Daly, Sean Rooney, Seshu Tirupathi, Luis Garces-Erice, Inge Vejsbjerg, Frank Bagehorn, Dhaval Salwala, Christopher Giblin, Mira L.

GAF-Guard: An Agentic Framework for Risk Management and Governance in Large Language Models Daly, Sean Rooney, Seshu Tirupathi, Luis Garces-Erice, Inge Vejsbjerg, Frank Bagehorn, Dhaval Salwala, Christopher Giblin, Mira L

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:16:29.926737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:16:24.737288Z digest=sha256:c859432a4038b88a0be74b2433e2c3b40482ca88f4510f5b40248ec0851ff4d4

Observation bc13a07f-473e-4e5e-885c-c7dbe09477ce · outbound

This paper cites Owasp top 10 for llms and generative ai apps.

GAF-Guard: An Agentic Framework for Risk Management and Governance in Large Language Models Owasp top 10 for llms and generative ai apps

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:16:29.688196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:16:24.850494Z digest=sha256:3b4334dd7a9f90d7fdf12de62e770414ac57cea7f63e58c3c5f06c1eb2d9eaaf

Observation 00dd11ef-5b2d-4f90-b089-bafe240847ca · outbound

This paper cites AI risk management framework.

GAF-Guard: An Agentic Framework for Risk Management and Governance in Large Language Models AI risk management framework

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:16:29.427491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:16:24.987353Z digest=sha256:3e2e10d7d60ce3b3b35e1d41f956b7a8b6bb47307f4f0568e9647ce622754a36

Observation 342fa842-c2f3-45e7-b62f-e70fcad74f09 · outbound

This paper cites an unresolved cited work.

GAF-Guard: An Agentic Framework for Risk Management and Governance in Large Language Models Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:16:29.185090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:16:25.104059Z digest=sha256:5dad3e6c8e330481fb59c32d0845c3b42e96f69783ee27258d9325f4f4a84b04

Observation 59a948b0-fa9c-4988-bb35-90b3ee20f2ca · outbound

This paper cites garak: A Framework for Security Probing Large Language Models.

GAF-Guard: An Agentic Framework for Risk Management and Governance in Large Language Models garak: A Framework for Security Probing Large Language Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T21:16:25.176468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:16:25.176468Z digest=sha256:9b69fcfe89aa636c2bb884cd739243bdbe848722ce5726dfacf28778b337ca0c

Observation 11df0195-a060-4845-971a-0e943b75082f · outbound

This paper cites NeMo guardrails: A toolkit for controllable and safe LLM applications with programmable rails.

GAF-Guard: An Agentic Framework for Risk Management and Governance in Large Language Models NeMo guardrails: A toolkit for controllable and safe LLM applications with programmable rails

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:16:28.926262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:16:25.247219Z digest=sha256:98356c2e3a67cd19147d0a6fa0629da1fb66d6e5e3f6fa4fa5d8bd9aefb7dcd4

Observation 5b526725-a761-4692-8a44-4eb6e6776eca · outbound

This paper cites Examples as the Prompt: A Scalable Approach for Efficient LLM Adaptation in E-Commerce.

GAF-Guard: An Agentic Framework for Risk Management and Governance in Large Language Models Examples as the Prompt: A Scalable Approach for Efficient LLM Adaptation in E-Commerce

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:16:27.470569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:16:25.335787Z digest=sha256:eec6976ea8d67106ef0eb94c6113d25f6c8a73f3f2d6d820d7d202e27b1933dc

Observation a6055716-808b-41ce-9478-2cd6b69474b4 · outbound

This paper cites An llm-driven chatbot in higher education for databases and information systems.

GAF-Guard: An Agentic Framework for Risk Management and Governance in Large Language Models An llm-driven chatbot in higher education for databases and information systems

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:16:28.740289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:16:25.424642Z digest=sha256:d323df540cdb61c971283f5dc5d7c30ed2067d12b4cf839d7fca3cb5b6cf6046

Observation 826b3fe2-fc5d-4872-afc3-42c242e55fcb · outbound

This paper cites Agent Q: Advanced Reasoning and Learning for Autonomous AI Agents.

GAF-Guard: An Agentic Framework for Risk Management and Governance in Large Language Models Agent Q: Advanced Reasoning and Learning for Autonomous AI Agents

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T21:16:25.599236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:16:25.599236Z digest=sha256:c5d45a2548d56815b601dcf1dd2cf7485011408f92d2cdf6f9ca8a7b8cc60c03

Observation 714adfe1-5a0d-437f-b344-891b2ed5cc6d · outbound

This paper cites Agentic ai: Autonomous intelligence for complex goals–a comprehensive survey.

GAF-Guard: An Agentic Framework for Risk Management and Governance in Large Language Models Agentic ai: Autonomous intelligence for complex goals–a comprehensive survey

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T21:16:25.697530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:16:25.697530Z digest=sha256:2157a1431d577d4c93763534af58dee7ff2db4519bc034dda3d7ec24a4190550

Observation 1669e31c-8c38-4181-8515-7060e14a4053 · outbound

This paper cites G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment.

GAF-Guard: An Agentic Framework for Risk Management and Governance in Large Language Models G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T21:16:25.811756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:16:25.811756Z digest=sha256:98329038e050b40398d8dab757b80e839ef3823557ae32a0723ff17bb532429d

Observation 4cd59389-b9cf-4f76-ae2b-c7d1ee6a4850 · outbound

This paper cites deepeval, May 2025.

GAF-Guard: An Agentic Framework for Risk Management and Governance in Large Language Models deepeval, May 2025

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:16:28.574101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:16:25.893668Z digest=sha256:d4aa93ecfaf61f817c85089932d43960fe66961c5e2488cbf67bbec7a0ca08c5

Observation e1012037-ce4f-4196-9ac4-4961c806a089 · outbound

This paper cites AgentGuard: Repurposing Agentic Orchestrator for Safety Evaluation of Tool Orchestration.

GAF-Guard: An Agentic Framework for Risk Management and Governance in Large Language Models AgentGuard: Repurposing Agentic Orchestrator for Safety Evaluation of Tool Orchestration

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T21:16:25.979328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:16:25.979328Z digest=sha256:4917a7d888e3d39d65dd71e857aa1f72527b59b9fba02ede26c876810ffa5fbc

Observation 87420fd7-106b-493e-a6bf-7f4021c75885 · outbound

This paper cites $\tau$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains.

GAF-Guard: An Agentic Framework for Risk Management and Governance in Large Language Models $\tau$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T21:16:26.081716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:16:26.081716Z digest=sha256:4a6805905f7ea03c0901e10b1a0f0e437ef1cfe0fe1f0e33832bd30ea51a7102

Observation 5ee34ed0-bceb-42fb-8c05-6c7830cda231 · outbound

This paper cites an unresolved cited work.

GAF-Guard: An Agentic Framework for Risk Management and Governance in Large Language Models Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:16:28.335719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:16:26.186882Z digest=sha256:d222d270ba4fa62b304b652a1770ab9c98dc3af97a45f883a979ba8347347436

Observation 048c0a9f-0aa6-43d1-b921-510d41bc7af1 · outbound

This paper cites Usage governance advisor: From intent to ai governance.

GAF-Guard: An Agentic Framework for Risk Management and Governance in Large Language Models Usage governance advisor: From intent to ai governance

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:16:28.103009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:16:26.294056Z digest=sha256:617078c382a18ec3b18ee99e710deccc396e980dae3292018a3c170cec549054

Observation 08c30a2b-f76f-49d9-bdfb-b961366489b6 · outbound

This paper cites Airo: An ontology for representing ai risks based on the proposed eu ai act and iso risk management standards.

GAF-Guard: An Agentic Framework for Risk Management and Governance in Large Language Models Airo: An ontology for representing ai risks based on the proposed eu ai act and iso risk management standards

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:16:27.902717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:16:26.406293Z digest=sha256:7eb4960a2d21cbad314953a1b2e571b4f128a3e1aeb4edf5c9118260b7e7a7a1

Observation 3af15caf-8795-48af-92b6-ca52e29c5b8c · outbound

This paper cites Daly, Michael Hind, Werner Geyer, Ambrish Rawat, Kush R.

GAF-Guard: An Agentic Framework for Risk Management and Governance in Large Language Models Daly, Michael Hind, Werner Geyer, Ambrish Rawat, Kush R

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:16:27.742082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:16:26.479468Z digest=sha256:a44724b2c09d750e87fbe662f508def56b2e0a7a6a527cb3c522ed831204e3c0

Observation 86920b5e-5c8a-4613-b743-109ccee0e90b · outbound

This paper cites AEGIS: Online Adaptive AI Content Safety Moderation with Ensemble of LLM Experts.

GAF-Guard: An Agentic Framework for Risk Management and Governance in Large Language Models AEGIS: Online Adaptive AI Content Safety Moderation with Ensemble of LLM Experts

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T21:16:26.615591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:16:26.615591Z digest=sha256:5040fc5f3c6b6926e9661a624cc5e62f901f06b8dd99f8d689b929b3b87c9e24

Observation 6f7eb424-77cd-433b-9791-46191ac8dfba · outbound

This paper cites HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal.

GAF-Guard: An Agentic Framework for Risk Management and Governance in Large Language Models HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T21:16:26.683091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:16:26.683091Z digest=sha256:212b029766ed5c26c23c70ca31b5db4465bf7bb214f8b4430276ebdf683e1e0e

Observation 7353ff7f-513f-4b87-80c8-4a7f4116fc1d · outbound

This paper cites Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations.

GAF-Guard: An Agentic Framework for Risk Management and Governance in Large Language Models Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T21:16:26.838437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:16:26.838437Z digest=sha256:9cbc803ccf15ba8c7bc52e4ec30ce808f3b22df4991061fc23cc60aa5d51866e

Observation a2354abe-7083-4b75-8959-589254d18fd6 · outbound

This paper cites ShieldGemma: Generative AI Content Moderation Based on Gemma.

GAF-Guard: An Agentic Framework for Risk Management and Governance in Large Language Models ShieldGemma: Generative AI Content Moderation Based on Gemma

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T21:16:27.015762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:16:27.015762Z digest=sha256:3f50c0eb11894ac223e10ec2d0871e35e93879f559116a3b6ed54d0e9993642e

Pith citing papers

Observation 5ec868dc-d064-48e8-8501-65d9cded64d0 · inbound

Data Flow Control: Data Safety Policies for AI Agents cites this paper.

Data Flow Control: Data Safety Policies for AI Agents GAF-Guard: An Agentic Framework for Risk Management and Governance in Large Language Models

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-07-02T15:47:06.369214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-27T23:28:47.480408Z digest=sha256:28d06619ffc4e9422caf446748b96502a7f3c7298c5a3ab45b4dc8a1e5068639