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Paper Citation Record · LEDGER

AI, Humans, and Data Science: Optimizing Roles Across Workflows and the Workforce

As of 22 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2507.11597.

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

pith.paper-citation-record.v1
2507.11597 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:11:24.960497Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

21 of 21 outbound references displayed

  • verified exact3
  • verified fuzzy7
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 392fb264-311e-42f7-bc8e-eee5e6c51714 · outbound

This paper cites Demonstrating specification gaming in reasoning models.

AI, Humans, and Data Science: Optimizing Roles Across Workflows and the Workforce Demonstrating specification gaming in reasoning models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T17:11:23.623482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:11:23.623482Z digest=sha256:82573a718fcfbbc58a8610625ff75b1cb67cdd5bea948bf2cdb82fb918f2dbf5

Observation 21149cd2-6b54-4326-8d3b-7740a73aa974 · outbound

This paper cites Gartner report, October 21,.

AI, Humans, and Data Science: Optimizing Roles Across Workflows and the Workforce Gartner report, October 21,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:11:27.429375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:11:23.682147Z digest=sha256:5483dc5fa44c42450902b719230e9d58a885c78c231e4c10c881002171091a40

Observation 4b43d801-4e67-4883-9888-15e72cd2a79f · outbound

This paper cites an unresolved cited work.

AI, Humans, and Data Science: Optimizing Roles Across Workflows and the Workforce Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:11:27.132591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:11:23.771416Z digest=sha256:6dcea188c4431ab6876909cf2a2d58b052663ac868c877b8a37c67b694ffc343

Observation 0052e247-48d9-4082-896c-2d7f9d89ddb8 · outbound

This paper cites an unresolved cited work.

AI, Humans, and Data Science: Optimizing Roles Across Workflows and the Workforce Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:11:27.013588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:11:23.824668Z digest=sha256:47f8f2765f005a6616c8013358abc8cf624e6e69b9c9ef326673b5b6f5a2f5d0

Observation 6ad041dd-5bde-49b5-aa3b-199e4cadc46f · outbound

This paper cites An empirical investigation of the impact of ChatGPT on creativity.

AI, Humans, and Data Science: Optimizing Roles Across Workflows and the Workforce An empirical investigation of the impact of ChatGPT on creativity

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T17:11:23.925867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:11:23.925867Z digest=sha256:59dbddbd35fe3493aca6c3bb5f9c48bfc79677f874a7d38744994dbc899be225

Observation f0ac5bec-e689-4151-8288-8278a6b443aa · outbound

This paper cites Identifying and categorizing bias in AI/ML for earth sciences.

AI, Humans, and Data Science: Optimizing Roles Across Workflows and the Workforce Identifying and categorizing bias in AI/ML for earth sciences

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T17:11:23.993996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:11:23.993996Z digest=sha256:9f145d39fc10f6c64812044933525311ceaf90705922d5c37c8ecd3364231636

Observation bf16fc05-c4c7-49cd-9d7c-7b289e95d00d · outbound

This paper cites Diminished diversity-of-thought in a standard large language model.

AI, Humans, and Data Science: Optimizing Roles Across Workflows and the Workforce Diminished diversity-of-thought in a standard large language model

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T17:11:24.067876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:11:24.067876Z digest=sha256:ec181611d2c889a4a3c9ebf51c3d705f20acbbe56c27ab83582b27491a08bc63

Observation 22681a4e-1631-4ba5-8cae-56682fe01df5 · outbound

This paper cites an unresolved cited work.

AI, Humans, and Data Science: Optimizing Roles Across Workflows and the Workforce Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:11:26.848184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:11:24.115266Z digest=sha256:e8767c2a6ee22a510602d1a148d11d91092b9d8210a8f1b22cadb3a057b0d769

Observation c4c3e8fe-ec3d-453a-92ae-ebb4f5b34a26 · outbound

This paper cites Large Language Models can Strategically Deceive their Users when Put Under Pressure.

AI, Humans, and Data Science: Optimizing Roles Across Workflows and the Workforce Large Language Models can Strategically Deceive their Users when Put Under Pressure

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T17:11:24.169940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:11:24.169940Z digest=sha256:d8294e8d0e24516098a5780a40a9a33e2b4f50ed3861f992ccfbe00c010763b4

Observation ae8055ad-c8eb-4a27-b6db-d4a86a12779a · outbound

This paper cites an unresolved cited work.

AI, Humans, and Data Science: Optimizing Roles Across Workflows and the Workforce Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:11:26.708276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:11:24.322468Z digest=sha256:b336120230d60e6db291c38b09de4093af40b9cfb085c35f634a384164cd7f5f

Observation 78efa2ad-2d60-4260-a604-7081d24122b7 · outbound

This paper cites A presentation at IIEX AI 2023, virtual event, September 8,.

AI, Humans, and Data Science: Optimizing Roles Across Workflows and the Workforce A presentation at IIEX AI 2023, virtual event, September 8,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:11:26.307904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:11:24.703015Z digest=sha256:b12604c21c16671778a973ef260d8eff9d0543ba25eef93cfdc67d2f6cd1b7df

Observation 493b0687-a45c-4115-bf69-515bb8f322e4 · outbound

This paper cites Artificial Data, Real Insights: Evaluating Opportunities and Risks of Expanding the Data Ecosystem with Synthetic Data.

AI, Humans, and Data Science: Optimizing Roles Across Workflows and the Workforce Artificial Data, Real Insights: Evaluating Opportunities and Risks of Expanding the Data Ecosystem with Synthetic Data

Reference 20

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T17:11:25.547639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:11:24.846770Z digest=sha256:c6bfee0fce563a3b3804b6fb3d7303ed30243b329630334b958fe79e881c7278

Observation 8bd8786d-d22b-4bea-b973-4ed303e1842f · outbound

This paper cites Vox Populi, Vox AI? Using Large Language Models to Estimate German Vote Choice.

AI, Humans, and Data Science: Optimizing Roles Across Workflows and the Workforce Vox Populi, Vox AI? Using Large Language Models to Estimate German Vote Choice

Reference 21

Resolution
verified exact
doi, observed 2026-08-06T17:11:25.241565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:11:24.960497Z digest=sha256:e34a4ae0b5342fa10a20b6f923e456cf8aae79b71bca19ee396ece83d9652d16

Observation 9778bdb2-c367-4b07-ae64-7b9112b78d6f · outbound

This paper cites Autor, David H.

AI, Humans, and Data Science: Optimizing Roles Across Workflows and the Workforce Autor, David H

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:11:28.025062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:11:23.357764Z digest=sha256:1f52c0acfcfd925a7b9ab914d4d5e8fd1aca5af7520d286d24cf49646082b32f

Observation 43a7cffb-c76e-4315-90f9-152d64e6889c · outbound

This paper cites Developing strategic leadership: The US Army War College experience.

AI, Humans, and Data Science: Optimizing Roles Across Workflows and the Workforce Developing strategic leadership: The US Army War College experience

Reference 1992

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:11:27.774288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:11:23.522972Z digest=sha256:5d7fca8b73c5f667d29fb2c552666710175c1528ae2605f2add2b662ddcc1288

Observation 9b48476a-44f4-4542-88cb-ef550488e1af · outbound

This paper cites Zero Human Code: What I Learned from Forcing AI to Build (and Fix) Its Own Code for 27 Straight Days.

AI, Humans, and Data Science: Optimizing Roles Across Workflows and the Workforce Zero Human Code: What I Learned from Forcing AI to Build (and Fix) Its Own Code for 27 Straight Days

Reference 2014

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:11:27.600709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:11:23.578060Z digest=sha256:802ddb61780a54e151d41875102758f15cf536ed349a3aff3008404e49097eec

Observation 8deee209-ca45-4e32-ab08-fa36df8c8e30 · outbound

This paper cites Why are there still so many jobs? the history and future of workplace automation.

AI, Humans, and Data Science: Optimizing Roles Across Workflows and the Workforce Why are there still so many jobs? the history and future of workplace automation

Reference 2015

Resolution
verified exact
raw_fallback, observed 2026-08-06T17:11:26.039642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:11:23.435448Z digest=sha256:b3603184dffaece1c6dbaaadfef715e687be2f936d5f8ee49850b5a6ddb985fe

Observation 4668d20d-2181-42de-b1be-9436b776d5e2 · outbound

This paper cites Paper presented at the BigSurv 2018 Conference of the European Survey Research Association; Barcelona, Spain.

AI, Humans, and Data Science: Optimizing Roles Across Workflows and the Workforce Paper presented at the BigSurv 2018 Conference of the European Survey Research Association; Barcelona, Spain

Reference 2018

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:11:26.560188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:11:24.550725Z digest=sha256:ae79e4efb96e044e8e644ec6396f03ef512ab6c4260573064bcd100d6863a0b9

Observation d69d5038-2fae-4947-9fcd-0cd537e010a4 · outbound

This paper cites Ipsos Report.

AI, Humans, and Data Science: Optimizing Roles Across Workflows and the Workforce Ipsos Report

Reference 2023

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:11:27.291673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:11:23.712164Z digest=sha256:4987a7efc855a120ffdf58a85a171701691031852ed48857d4a2cd41e8a2c54b

Observation 5121a6a5-642d-4472-870b-05e67c228ce2 · outbound

This paper cites How AI Ideas Affect the Creativity, Diversity, and Evolution of Human Ideas: Evidence From a Large, Dynamic Experiment.

AI, Humans, and Data Science: Optimizing Roles Across Workflows and the Workforce How AI Ideas Affect the Creativity, Diversity, and Evolution of Human Ideas: Evidence From a Large, Dynamic Experiment

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-06T17:11:23.292877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:11:23.292877Z digest=sha256:650e993df232849f3d46c597bb05e96c33f20a05c25220e3261249b79da89550

Observation e746fadc-7b6c-4abf-a85b-8938a21c7496 · outbound

This paper cites Skill demand, inequality, and computerization: Connecting the dots.

AI, Humans, and Data Science: Optimizing Roles Across Workflows and the Workforce Skill demand, inequality, and computerization: Connecting the dots

Reference 2025

Resolution
verified exact
doi, observed 2026-08-06T17:11:25.780187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:11:23.489516Z digest=sha256:5062fe3cdc0b1f2e8cac53232babc5719477d3b309e24f74a20564212b400a0d

Pith citing papers

No inbound Pith citation observations are available.