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Paper Citation Record · LEDGER

Taxonomy-Driven Analysis of Open-Source AI Risk Mitigation Tools

As of 11 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2608.07446.

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

pith.paper-citation-record.v1
2608.07446 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T04:29:11.355319Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

22 of 22 outbound references displayed

  • verified exact2
  • verified fuzzy13
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b30a7b2d-a07f-4801-bbb5-93ca6fd4e08b · outbound

This paper cites Foundational Challenges in Assuring Alignment and Safety of Large Language Models.

Taxonomy-Driven Analysis of Open-Source AI Risk Mitigation Tools Foundational Challenges in Assuring Alignment and Safety of Large Language Models

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-10T04:29:11.241994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T04:29:11.241994Z digest=sha256:8815075948b331a8b828f6ff5d33d2f4e9a8d55c68d421e3e0f72b11dca30f4f

Observation 2f78d67e-1afd-4615-9ba2-b01d3ce8c22e · outbound

This paper cites Evaluating Reliability Gaps in Large Language Model Safety via Repeated Prompt Sampling.

Taxonomy-Driven Analysis of Open-Source AI Risk Mitigation Tools Evaluating Reliability Gaps in Large Language Model Safety via Repeated Prompt Sampling

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-08-10T04:29:11.757320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T04:29:11.248097Z digest=sha256:b8d907b70c6599867bdd26a1545b0d6dab51312b0a612cc099e80334ad3a8995

Observation 7209f7a0-4ebc-43a7-b0e3-a703f47c0726 · outbound

This paper cites Large language models in fi- nance,.

Taxonomy-Driven Analysis of Open-Source AI Risk Mitigation Tools Large language models in fi- nance,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T04:29:11.995932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T04:29:11.253855Z digest=sha256:aa9844e36ad8bd6d733270da31a36742d944859ef30759deb6b51595982746ee

Observation f8fa92d1-7b42-4670-8a79-db07164facc0 · outbound

This paper cites Opportunities and challenges of generative-ai in finance,.

Taxonomy-Driven Analysis of Open-Source AI Risk Mitigation Tools Opportunities and challenges of generative-ai in finance,

Reference 4

Resolution
metadata mismatch
raw_fallback, observed 2026-08-10T04:29:11.729903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T04:29:11.259875Z digest=sha256:81bac13628165b9be4a5fedb4841272cb81cd98b00a790a402703aae1143ed03

Observation 555c55e0-31f8-4979-9cb5-3ca9aa2fcab3 · outbound

This paper cites Financial stability implications of artificial intelligence,.

Taxonomy-Driven Analysis of Open-Source AI Risk Mitigation Tools Financial stability implications of artificial intelligence,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T04:29:11.980001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T04:29:11.265559Z digest=sha256:0e6ec16410e9fa04c847acf2d0fc074d4ec933d2016e037c7379a992ac2b08a9

Observation 51212f58-5bf2-496b-b6f3-6c7fd2ee2a54 · outbound

This paper cites Holistic Evaluation of Language Models.

Taxonomy-Driven Analysis of Open-Source AI Risk Mitigation Tools Holistic Evaluation of Language Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-10T04:29:11.270624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T04:29:11.270624Z digest=sha256:e329847d9ebb8c6f095f3d8b64bfb7bae8caf8916652f7f7ebb9d5d2bb1452ae

Observation d8058bf8-126e-47e7-9926-a868b6f4f80e · outbound

This paper cites Monitoring adoption of artificial in- telligence and related vulnerabilities in the financial sector,.

Taxonomy-Driven Analysis of Open-Source AI Risk Mitigation Tools Monitoring adoption of artificial in- telligence and related vulnerabilities in the financial sector,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T04:29:11.963334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T04:29:11.276669Z digest=sha256:74a70fac8d2cd36cce4523b829783df641351fa07558a30e6b8f4f9b77deeb15

Observation 6d54c4a2-492e-4d93-9953-9edb9c071f2c · outbound

This paper cites When ai fails, what works? a data-driven taxonomy of real-world ai risk mitigation strategies,.

Taxonomy-Driven Analysis of Open-Source AI Risk Mitigation Tools When ai fails, what works? a data-driven taxonomy of real-world ai risk mitigation strategies,

Reference 8

Resolution
verified exact
raw_fallback, observed 2026-08-10T04:29:11.636262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T04:29:11.281435Z digest=sha256:bb93cdf06e4ab3684c4198337e61554fb2bb71792597c07a7a906381218c1473

Observation ec6549de-1117-408d-90fe-9b75231f7f34 · outbound

This paper cites LLM-Safety Evaluations Lack Robustness.

Taxonomy-Driven Analysis of Open-Source AI Risk Mitigation Tools LLM-Safety Evaluations Lack Robustness

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-10T04:29:11.286717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T04:29:11.286717Z digest=sha256:8bd6c15a5c6477758682797ddc5227ca578e70356bb29edd95313eed4119e777

Observation eb8efc74-e116-4a98-85d7-15b23967af19 · outbound

This paper cites Revolutionizing finance with llms: An overview of applications and insights,.

Taxonomy-Driven Analysis of Open-Source AI Risk Mitigation Tools Revolutionizing finance with llms: An overview of applications and insights,

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-10T04:29:11.292270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T04:29:11.292270Z digest=sha256:0f0ded2dcf14b12773a8891b5279840617b4a4a8684ee3d1410935c679a6d57b

Observation a811da35-67a7-40f0-bff9-ecf176fcda51 · outbound

This paper cites Artificial intelligence risk management framework (ai rmf 1.0),.

Taxonomy-Driven Analysis of Open-Source AI Risk Mitigation Tools Artificial intelligence risk management framework (ai rmf 1.0),

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T04:29:11.946335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T04:29:11.297600Z digest=sha256:674bf5c588bc629cf04322f077397dcfb67faada64880a408507136d59f8a4eb

Observation 6e09518e-bb1c-40e7-a319-fc3574c37256 · outbound

This paper cites Artificial intelligence risk management framework: Generative artificial intelligence profile,.

Taxonomy-Driven Analysis of Open-Source AI Risk Mitigation Tools Artificial intelligence risk management framework: Generative artificial intelligence profile,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T04:29:11.913995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T04:29:11.307611Z digest=sha256:61709c26e0dad57deef4579170cf40aa774bb670026744c49b94b72f1b39f87d

Observation b4ff8ff5-1e67-499c-aefc-e484fc043e54 · outbound

This paper cites Large language models (llms) in finance – a survey of applications, methods, and challenges,.

Taxonomy-Driven Analysis of Open-Source AI Risk Mitigation Tools Large language models (llms) in finance – a survey of applications, methods, and challenges,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T04:29:11.897675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T04:29:11.312357Z digest=sha256:250a13b7b5d168d27aeeefb4dcf81db6dfe54893ee6087972c30eaf59ec1f613

Observation 26616563-4196-4a4c-a1fe-acb75e58f81e · outbound

This paper cites Treasury guidance brings urgency to ai governance for financial institutions,.

Taxonomy-Driven Analysis of Open-Source AI Risk Mitigation Tools Treasury guidance brings urgency to ai governance for financial institutions,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T04:29:11.879806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T04:29:11.317624Z digest=sha256:5735f1bb227f8fcbe7db6a59eb418fc40aeb858420c7eb151750c58767e16151

Observation b5fc7506-1156-436e-a093-42447cabe1e1 · outbound

This paper cites Financial services AI risk man- agement framework (FS AI RMF),.

Taxonomy-Driven Analysis of Open-Source AI Risk Mitigation Tools Financial services AI risk man- agement framework (FS AI RMF),

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T04:29:11.862046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T04:29:11.323143Z digest=sha256:1acd258a1bc6d7a8b505fb3aad47dac77226160726023e2f0e2cfb3f6a498c05

Observation 36b80388-d62b-4686-b3e6-8ed285af8172 · outbound

This paper cites Sound practices for responsible adoption of artificial intelligence (ai),.

Taxonomy-Driven Analysis of Open-Source AI Risk Mitigation Tools Sound practices for responsible adoption of artificial intelligence (ai),

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T04:29:11.844545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T04:29:11.328453Z digest=sha256:d4987b5a43801f8fbc16afec27bb6d301149ed3d88f8ffb165092220017a3450

Observation de91a5bd-36e2-43ad-93c0-8ee9e73e995f · outbound

This paper cites Conformity assessments and post-market monitoring: A guide to the role of auditing in the proposed european ai regulation,.

Taxonomy-Driven Analysis of Open-Source AI Risk Mitigation Tools Conformity assessments and post-market monitoring: A guide to the role of auditing in the proposed european ai regulation,

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-10T04:29:11.333790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T04:29:11.333790Z digest=sha256:58deb282a03be791484b65ccdf4082778cf2bf0b894e23a8f1ac61a302df8700

Observation 961b787f-3c5a-4e7a-a569-fe86176bfe05 · outbound

This paper cites Llm observability tools compared: Langfuse vs langsmith vs opik,.

Taxonomy-Driven Analysis of Open-Source AI Risk Mitigation Tools Llm observability tools compared: Langfuse vs langsmith vs opik,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T04:29:11.826443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T04:29:11.339088Z digest=sha256:c0e03943915d74204bc91f48a96141c620868b5e8e8ac8894b35b8ea93bfe8a9

Observation 23ffcc2c-3fe8-4dbc-a424-e87b591a9976 · outbound

This paper cites Open problems in technical ai governance,.

Taxonomy-Driven Analysis of Open-Source AI Risk Mitigation Tools Open problems in technical ai governance,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T04:29:11.792376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T04:29:11.349939Z digest=sha256:1264a5c16785c03c4870e12bfba846638010dda7ff52bb1169064202f5edab2d

Observation 0fe692de-270c-4828-9406-ff42120f7330 · outbound

This paper cites Available: https://airc.nist.gov/airmf-resources/playbook/.

Taxonomy-Driven Analysis of Open-Source AI Risk Mitigation Tools Available: https://airc.nist.gov/airmf-resources/playbook/

Reference 2023

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T04:29:11.930564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T04:29:11.302622Z digest=sha256:184c13d7c9d26eb6dad84d8f548bf8e255ea8aed5a8f017814fceceb8b69c1a6

Observation 42a38362-840a-43bc-b59f-1c1eb0ce00bf · outbound

This paper cites Open Problems in Technical AI Governance.

Taxonomy-Driven Analysis of Open-Source AI Risk Mitigation Tools Open Problems in Technical AI Governance

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-10T04:29:11.355319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T04:29:11.355319Z digest=sha256:77790a0a6325bf6dab08fd015162e3cd6577df89d472b56b223d9240e5abf73c

Observation f7f5e04f-d3dd-4ecc-abd3-082d14e84da7 · outbound

This paper cites Available: https://bigdataboutique.com/blog/ llm-observability-tools-compared-langfuse-vs-langsmith-vs-opik.

Taxonomy-Driven Analysis of Open-Source AI Risk Mitigation Tools Available: https://bigdataboutique.com/blog/ llm-observability-tools-compared-langfuse-vs-langsmith-vs-opik

Reference 2026

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T04:29:11.809998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T04:29:11.344345Z digest=sha256:b879867bf0213d19ec6a6b994d92235a891323110928b029b08b93b02db1c08a

Pith citing papers

No inbound Pith citation observations are available.