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Paper Citation Record · LEDGER

The AI Data Scientist

As of 22 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2508.18113.

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

pith.paper-citation-record.v1
2508.18113 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T16:42:05.644072Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

24 of 24 outbound references displayed

  • verified exact0
  • verified fuzzy21
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b83a9708-03ab-47dc-a417-effa3f67bb7b · outbound

This paper cites 2023 State of Data Science Report.

The AI Data Scientist 2023 State of Data Science Report

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:14.064759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 120d6a0f-0b8c-4ba6-98af-90df60c521b7 · outbound

This paper cites Data Engineers Spend Two Days Per Week Firefighting Bad Data, Data Quality Survey Says.

The AI Data Scientist Data Engineers Spend Two Days Per Week Firefighting Bad Data, Data Quality Survey Says

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-05T16:42:13.707517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation a0d1519d-9dcd-4115-a129-cdecf9e038e4 · outbound

This paper cites New Report: Enterprises Should Avoid DIY Pipelines.

The AI Data Scientist New Report: Enterprises Should Avoid DIY Pipelines

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:13.264846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation daa33d9c-a3c9-47c6-9d5c-3a24dc4fee20 · outbound

This paper cites Why Most AI Implementations Fail, and What Enterprises Can Do to Beat the Odds.

The AI Data Scientist Why Most AI Implementations Fail, and What Enterprises Can Do to Beat the Odds

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:12.945000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation db015a80-4c9a-4a84-8ef9-4751f264ca83 · outbound

This paper cites Why 85% of Your AI Models May Fail.

The AI Data Scientist Why 85% of Your AI Models May Fail

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:12.474753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 3ae1922b-7e20-46d1-99bd-85fd1b3dbb61 · outbound

This paper cites Nearly Two-Thirds of Global Marketers Lack Confidence in Their Data, Analytics, Insights.

The AI Data Scientist Nearly Two-Thirds of Global Marketers Lack Confidence in Their Data, Analytics, Insights

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:12.184837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation a2b089b1-c0e1-4e56-b322-4f6a5344edeb · outbound

This paper cites The Data-Driven Enterprise of 2025.

The AI Data Scientist The Data-Driven Enterprise of 2025

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:11.644747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 65d8134d-1f09-4855-b8d3-0a6df4409f15 · outbound

This paper cites An Open Source AutoML Benchmark.

The AI Data Scientist An Open Source AutoML Benchmark

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:11.329990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 6f7c0677-30b4-48df-b8d9-4b1782387c6a · outbound

This paper cites Tabular Data: Deep Learning Is Not All You Need.

The AI Data Scientist Tabular Data: Deep Learning Is Not All You Need

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-05T16:42:03.565007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f5870574-4206-41ef-81b0-3674c8aca00c · outbound

This paper cites The State of AI in 2025.

The AI Data Scientist The State of AI in 2025

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:10.884890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation bbdc62e2-1128-4551-95dc-988e37b51605 · outbound

This paper cites Enterprise AI Strategy: Transforming Business with AI Agents and Advanced Models.

The AI Data Scientist Enterprise AI Strategy: Transforming Business with AI Agents and Advanced Models

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:10.572350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 720a4d38-de26-4c80-b886-c8831c295418 · outbound

This paper cites Large Language Model Operations (LL- MOps) Specialization.

The AI Data Scientist Large Language Model Operations (LL- MOps) Specialization

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:10.231658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T16:42:03.823072Z digest=sha256:0b14c6905eac08373c5154b4653ed550f4d92fba6a67c246c20a823a726c3825

Observation 30a70685-b0b6-421c-88dc-c34be30c55e3 · outbound

This paper cites LLMOps: Concepts from Ideation to Deployment.

The AI Data Scientist LLMOps: Concepts from Ideation to Deployment

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:09.748485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T16:42:03.946428Z digest=sha256:0ff3c86de058fea04a1758c4f962ba324098e070ca388d4598ceed76bc915ab2

Observation c77ab2c3-718e-4d30-aa7d-d29aab246581 · outbound

This paper cites Current state of LLM Risks and AI Guardrails.

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=sha256:446282d280412f53cefa8572737bd70ddaedb005bc557bda11c6c2be343bbfcf

Observation 68114525-090e-4613-8ffc-7fc74ebca537 · outbound

This paper cites LLM Guardrails for Secure and Accurate AI Deploy- ment.

The AI Data Scientist LLM Guardrails for Secure and Accurate AI Deploy- ment

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:09.364486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 7c781f37-058f-4ca5-96a5-7a1c61049653 · outbound

This paper cites ISO/IEC 81227:2025 — Governance of Artificial Intelligence.

The AI Data Scientist ISO/IEC 81227:2025 — Governance of Artificial Intelligence

Reference 16

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verified fuzzy
raw_fallback, observed 2026-08-05T16:42:09.084818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T16:42:04.344899Z digest=sha256:75c80b6ae0e326be9fa5df287a9da026fbf276462a00ef6d0bd26e5c4f60a881

Observation a07e612f-a691-448d-90a4-6409d74f4da0 · outbound

This paper cites The Enterprise Guide to AI Governance.

The AI Data Scientist The Enterprise Guide to AI Governance

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:08.794863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T16:42:04.501910Z digest=sha256:cb2381f36e79f28eec83000110323abe6c40b1065aa23f13bd5a87aaf7ce9954

Observation f6305b9a-218f-4135-8f01-8a527c7416cb · outbound

This paper cites Generative AI Lens — AWS Well-Architected Framework.

The AI Data Scientist Generative AI Lens — AWS Well-Architected Framework

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:08.500516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 914576dc-6693-499e-ba79-e9f82b848f36 · outbound

This paper cites What Is Retrieval-Augmented Generation (RAG)?.

The AI Data Scientist What Is Retrieval-Augmented Generation (RAG)?

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:08.220414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T16:42:04.854749Z digest=sha256:50ea31349afb166232f3e2849dc25cbe8cfcfea9d5441ecec761a2c44450bb07

Observation 7263884d-b5c0-4d29-9a93-80acffe187cd · outbound

This paper cites Retrieval-Augmented Generation Becomes the Enterprise Standard.

The AI Data Scientist Retrieval-Augmented Generation Becomes the Enterprise Standard

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:07.535784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation cc727770-0a8e-4bc4-b152-b1396202f341 · outbound

This paper cites Transform Data into Real-Time Business Insights with New Relic Pathpoint.

The AI Data Scientist Transform Data into Real-Time Business Insights with New Relic Pathpoint

Reference 21

Resolution
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raw_fallback, observed 2026-08-05T16:42:07.087069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 630630e4-b5cc-4d76-999c-00214f4f2ca4 · outbound

This paper cites Enterprise LLM Monitoring Metrics: What to Track and Why.

The AI Data Scientist Enterprise LLM Monitoring Metrics: What to Track and Why

Reference 22

Resolution
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raw_fallback, observed 2026-08-05T16:42:06.707273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 53c3fd9a-6562-4419-ba2e-70eb400884b0 · outbound

This paper cites AUTHOR CONTRIBUTIONS F.A.

The AI Data Scientist AUTHOR CONTRIBUTIONS F.A

Reference 24

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raw_fallback, observed 2026-08-05T16:42:06.324894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T16:42:05.644072Z digest=sha256:b74e68336bc0effe84a7e2ff78f415d27fe2e1149f74755c0e569cda067155fb

Observation 7f81261a-8a77-4f3e-bd57-f2d2591c5429 · outbound

This paper cites an unresolved cited work.

The AI Data Scientist Unresolved cited work

Reference 2025

Resolution
unresolved
raw_fallback, observed 2026-08-05T16:42:07.844825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T16:42:04.992018Z digest=sha256:4453163f4a1d8a62fcc3fe20901c0d0048d12a9e9efaf740cf6dc22240918762

Pith citing papers

No inbound Pith citation observations are available.