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Paper Citation Record · LEDGER

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

As of 14 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 2026-08-14T06:32:32.682623+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=sha256:5513c6c65de809a5c2a5dbcabec250b3a874ab3e9402015faf50bd9385e5cfc6

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T04:29:11.248097Z digest=sha256:b5f621a9c6a75ac3c72f195f20ef0bab2d32a88879446aa689ce71cb6d2cbb2b

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T04:29:11.253855Z digest=sha256:5f03feacd42c6183e0f24c33d76e2a4c20a54f323ea5dcedfa414e01838220bb

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T04:29:11.259875Z digest=sha256:41b068b5c70166ba24f94b5f138380d25eb0e5d782e8cd01a39c19c1ddf52c03

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T04:29:11.265559Z digest=sha256:23ae41345257e4fa7e9a1bd2b412360c6770cb4980283fd5695820e6b857d93d

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:dc5dc386b36330f28e1251a947e068ca43d2439cd71969b5648975c10cc21585

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T04:29:11.276669Z digest=sha256:83f6da2f245ca4c1e77ad3c8b7332e8d21ec24ae7d723a223d45489d552e94b8

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T04:29:11.281435Z digest=sha256:5e04447483fedba5c948677a2b3ca30117da7580debb090679858699985feb15

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=sha256:90dd0fac30e50cc53f7cb6eec673634a2440ed036c0c4221d6e0603995f63504

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

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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:eeb4ec94ac5b9a57ed66875489a63457acd63b5dc23cbe36f16412afcf16ad7f

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T04:29:11.297600Z digest=sha256:ff78b37d0424db7ad6d5d209dbb9bf98a8442bce7a09442238149de32a1769b9

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T04:29:11.307611Z digest=sha256:d11b40493b6ab1ed3f23e0def634b4ebc89c6f70af8632fe1b6f2a15e2629582

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T04:29:11.312357Z digest=sha256:53f1819d0d162a2ea7a661829264b06cc583fac527445782a73ad358b0139acb

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T04:29:11.317624Z digest=sha256:ec0be8073a110def17e729d6c149f479e9bd66ca20a94764dd99a6af9aae5d8b

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T04:29:11.323143Z digest=sha256:d28d1a009ddbaf0bcd9ddcb16a1b6b6947e2d42a1f337188d8db8f09833bae91

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T04:29:11.328453Z digest=sha256:f337dd2d008cf8245fdd45eea8733c30a26044e37c70353afee89036a397da2b

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=sha256:4e815ec99c575a6e55f9fd43d20668e31ab40f66107f7c9a48c90b9830107603

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T04:29:11.339088Z digest=sha256:d1e64e9e7993e6857766834100779815aeee20f7977646ba315699a05ab9ec45

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T04:29:11.349939Z digest=sha256:74dc796e6fb69fd7251e860c009ff0d1b616fe4143fa303a3a3f63113be6efa0

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T04:29:11.302622Z digest=sha256:85c2686f3c3c4a510f22a1dfac30df50fe7d11d9832b5526fb22b50631594d8d

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=sha256:85369a78e9a23d123dbbeac25ff7564838d15a5f34c666291777a2c465d4a3d0

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T04:29:11.344345Z digest=sha256:d74323d02d319dab3118eebb93bf9455acf12d4d4aff7bd742e0dad4143638c1

Pith citing papers

No inbound Pith citation observations are available.