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Paper Citation Record · LEDGER

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

As of 7 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 2026-08-07T06:34:17.273281+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=sha256:2849c2157d7cf6699b098af1b11cbc1709a5db74b902a978262935614eb39e1c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T17:11:23.682147Z digest=sha256:30e1c141c215133770852bc0b8e97d8dc7d1e9db181106d9d84b8e316af753fd

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T17:11:23.771416Z digest=sha256:1fa75ce8f02bec88f9258f31e1453c15cfa966980412ed2824c99e143f746b42

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T17:11:23.824668Z digest=sha256:8c0709efcfc4514165bf08a2aa2b3fc67342ae33a1c1fc81817c9d8b259444a3

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:ffa99736d32c781e8de7a610d53410f501f290b21845a8af24a66cc9352e20af

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:d1869836cb11324a48d39fac4cdeb4f6783d684211d6cfaf0c84a5d36e7911c5

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=sha256:78a9cfaf2f6fe260cb13b36b961dd101cface80f8963d19ac884f88843d0f1cf

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T17:11:24.115266Z digest=sha256:3e4cb483da347ec4f0b39ab50454e9dda9ad91340e19e49659c5caa7441dc635

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:f11872248e4bd2c8751688d0d3bbe6f25b582923521b54474c0bfa08ccdf2439

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T17:11:24.322468Z digest=sha256:267d90cd3fea2f9e00256aae4919c5fead173cc2818e30f3ff953c7cc846d263

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T17:11:24.703015Z digest=sha256:3f535fec102e160b00dd5d7263d8f418f41d3c522f1ce13f3bff0a8aa67ac9e7

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T17:11:24.846770Z digest=sha256:b6e9d5d40ee073001e9666cd33c9f433ef232b44937041976acaabe6253d0c91

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T17:11:24.960497Z digest=sha256:8891854d43f9cd7e92d89ade3b272aa179c03b9270378e43f7b9d13b2c16a7e9

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T17:11:23.357764Z digest=sha256:6ccc6cbb2817c2bd024f59c2089e5eb5a95b9ef37e626ec86b430213985eb493

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T17:11:23.522972Z digest=sha256:1903c8f7b050df69f821e7e6be1b6a4550a2193b04b459ac4cd6749bc0b596b7

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T17:11:23.578060Z digest=sha256:49a6b6b3a1cc502968cd23231db8b8fd91f9ec37bf62e2a3a1382974069223f0

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T17:11:23.435448Z digest=sha256:ad18aea4df58b13917028b82721a6713ab3db153ec02dd3a8e0a4f983492243e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T17:11:24.550725Z digest=sha256:4a998c2806d1b1b28964b107fa6a308316da8f24f13356adfa98b58426816a87

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T17:11:23.712164Z digest=sha256:c771dbab7f50f3707d45e41999bf83cfa2407532da3a0b31be75bcceee01f4c3

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:ed77f93205ee024e3cde8a33aaaa6696f3874c543599467af400b1e54f4458a9

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T17:11:23.489516Z digest=sha256:87db86c913f870d70fdc413d4cd3a18b4b60c186174dfc461595c807891a6ab6

Pith citing papers

No inbound Pith citation observations are available.