Pith. sign in

Paper Citation Record · LEDGER

The AI Data Scientist

As of 8 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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:42:02.391068Z digest=sha256:3a5eceddce9487a7a11afa8bdabb05ecfb900c71772ed51f8a94fef09d21f06c

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:42:02.564845Z digest=sha256:5ef35f84d12c2dd8d37bb7568a11e7c56cca56108cc91a356c501228f1ae1b30

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:42:02.739015Z digest=sha256:474b3145ba1e939b2bc4fb715732694f08175f5673103a89860e9e0b3d61128a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:42:02.894754Z digest=sha256:8aef23e17a9b318d40d79216ed8aa260013394f04ec95b09f80e64eb4b3c51b1

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:42:03.064827Z digest=sha256:6963e10b010c745e302fdaa64854bbcab1d409e67ff2bb00fbe8bae576d15e36

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:42:03.155450Z digest=sha256:c7d8bf319c32ff2a6b4b453970e78000c18604bf67ec971b9092f103eb502c68

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:42:03.264749Z digest=sha256:ff3ff4d4d8db4e1ab314a04530e1ee67feca174e8468f6af46f2888da0fa1558

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:42:03.495888Z digest=sha256:1444f4f152b3ad308ab56c5f9b8b88a2c029ea08383747cc286910cf6b5fe01e

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.

source=pdf_text observed=2026-08-05T16:42:03.565007Z digest=sha256:c0eaa84cd098a1370b717348bba6ea18ddaa074607438724d2835551d1bb0904

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:42:03.650769Z digest=sha256:8d93f735715094e0d6c24b13276fa69f939c8259a6fed4a12b36dae6d58d7445

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:42:03.722609Z digest=sha256:cab49a2a6ce6c361b6174db9f944b12a7b2a5615406c83f47c31acbe1be73a76

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:42:03.823072Z digest=sha256:a34c7d009d0c5b1ecbd4d96f43540d0d9a7b576ac8449e0375ed8e8106d9a1f9

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:42:03.946428Z digest=sha256:9603877ea2b0dabbf328bcf119c9a6114f2399956a0a79f38f3634b98434874b

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=sha256:82c1f186c09b6220bb521281e1cb09c29b5d72ef885420b3d15e9ae931612aae

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:42:04.197082Z digest=sha256:0e1f12e4ff67cf9c2ee2ede763e5d7438a045c9cc1c4a3dd3744013536363535

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:42:04.344899Z digest=sha256:7e8581d69887be149929253949bfcba8a3f1a764fe25df90f5e9b5c575c43356

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:42:04.501910Z digest=sha256:c1220a4dc8944d73d6382c688b7c5fa1a8f8bac8cfc0526950941399a53b8f46

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:42:04.664755Z digest=sha256:09793062ff70a3d53aefdbe21fa9de7f5022103c42ad84a5b8b976bfa465d27c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:42:04.854749Z digest=sha256:9398d3cc5b30c4e47d033d229dd93c4eec739b38e6e54d0993511e2f4d352354

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:42:05.140745Z digest=sha256:4f332726830ed0756176f16e36eff77ce6ce2e8549495062720b31bd6053b795

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
verified fuzzy
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:42:05.286517Z digest=sha256:296238dab8df57e0ccbdf01e8562345d9914f9f3a29028a78707e48c765bdc70

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
verified fuzzy
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:42:05.456729Z digest=sha256:77acb5c90d64f45895703d0fe34621b1bf1f2da5f1b740d7a43df5e2bb83755d

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

This paper cites AUTHOR CONTRIBUTIONS F.A.

The AI Data Scientist AUTHOR CONTRIBUTIONS F.A

Reference 24

Resolution
verified fuzzy
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:42:05.644072Z digest=sha256:30b1c697493ae7fe4bbe3be96bf3a5d6544d986972f78c82ac7d99d64d8284eb

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:42:04.992018Z digest=sha256:7aab2ad0dbe477d55b2bdc6c90cc4887e4d63ba6eda6848a0bd8cd4fa19e4896

Pith citing papers

No inbound Pith citation observations are available.