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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

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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:ad738da27f4697712d333ca109d1a218ca226a6754b02ead91e5d2b7d45689c8

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=sha256:03099fcc93914aae7845b889e7c2f3bf39f40b5d3558911d434fd35948f76888

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=sha256:4b32c48052cd949cff1e33c01764590a4eb59a772bcc17907705f70e65193cf1

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=sha256:82f5f4b90331ed643be348a68bdedce1231ad6ac86c9e6494e11106316f70433

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=sha256:0d6535fe0fa80269406d9562edfd27438a6e52483b3c12fc151092728e4298ea

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:c2600c0a27e9a3bb98b3c3fbff44cbfe579b35e236660e8f584972413b77f390

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=sha256:3530a5e587ac7df34605e238139e5ecd07c8da9dfe5892c1e81c1d79e3a66186

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:c0844f0eeb07d8f11c72872ff3fee32340dc595689dc2737bd22d0dfed69b5c4

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=sha256:53e6aa0f88ecfa68695031413ba1b2a2ef093bd58492e7a3b7c7dfe77d258c71

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:eeec7815a9b3cd0e0822ebb15cad3c8928744281e5aabf249f531f618d4d6f4e

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=sha256:5a068cee8e69d8c230a9d386bf0116a64c14e65e7ee9cd36eef9c3ec869b8af1

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=sha256:8ec087c5a117d09e04e4b27e4aef22970fcdbcc7ced82d7bd77807322d10a6f4

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:b59404055c0313192ba33081c6e70ad5212e864a8b4cda36721809532cd671ad

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:d2f1542bd1272db925825743e400698f129570d73d3ac9f493fd0d4c46c16040

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=sha256:16a3f51b7361e0018263dac254008148b6cd6c679cb09fd82ae018c1bee4040b

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:be3b606674678f0212dddbe7650aff4b196215fc3d31e3f818ed4f02fec79a3c

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=sha256:09f8d70526b68e9532ddbd3bbab273e16d7575838018b05ec1db253c39a71abf

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:ae0fc38cc0333a783727d5a0943a3d12841b3d9d1160c76867815a607e342f57

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

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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=sha256:829d0d85cb4392959a7261fca8ab726dfbe1cde7ba92306c0d95d20bdc5a1cf9

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=sha256:2e8b6457fc4b78b8e026ffd9cf1b8edcbd5e5ef7dfe9cf2e86d3f6f85daab6e5

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=sha256:332ac47d37fa57696864afe099ef779a001d3f883096193f0b6d7cbfdfeb8444

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:cfa0a0da807d42619a0729958dff05674199a42a4b478c8b1f10f6abebda32d7

Pith citing papers

No inbound Pith citation observations are available.