Paper Citation Record · LEDGER

Short-Term Gain, Long-Term Fragility: AI Labor Substitution and the Erosion of Sustainable Capability

As of 7 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2605.27399.

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

pith.paper-citation-record.v1
2605.27399 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-05T01:39:02.068361Z

measured 40 of 40 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

40 of 40 outbound references displayed

verified exact11
verified fuzzy24
unresolved4
parse uncertain0
malformed identifier1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4f993f05-eb35-474b-bf78-30c27b9efe2d · outbound

This paper cites Evaluating the Code Quality of AI-Assisted Code Generation Tools: An Empirical Study on GitHub Copilot, Amazon CodeWhisperer, and ChatGPT.

Short-Term Gain, Long-Term Fragility: AI Labor Substitution and the Erosion of Sustainable Capability Evaluating the Code Quality of AI-Assisted Code Generation Tools: An Empirical Study on GitHub Copilot, Amazon CodeWhisperer, and ChatGPT

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-05T01:40:34.395921Z

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.

Observation 0eb551e0-70fc-4c00-8002-90df0c4faea3 · outbound

This paper cites Security Weaknesses of Copilot-Generated Code in GitHub Projects: An Empirical Study.

Short-Term Gain, Long-Term Fragility: AI Labor Substitution and the Erosion of Sustainable Capability Security Weaknesses of Copilot-Generated Code in GitHub Projects: An Empirical Study

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-07-05T01:40:34.400611Z

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.

Observation 4fd6e20f-d00b-4ddf-bb45-11825b52ed0c · outbound

This paper cites RepoCoder: Repository-Level Code Completion Through Iterative Retrieval and Generation.

Short-Term Gain, Long-Term Fragility: AI Labor Substitution and the Erosion of Sustainable Capability RepoCoder: Repository-Level Code Completion Through Iterative Retrieval and Generation

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-07-05T01:40:34.386715Z

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.

Observation 02e1ab29-e400-4a9f-a6fa-0ede5df48771 · outbound

This paper cites RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems.

Short-Term Gain, Long-Term Fragility: AI Labor Substitution and the Erosion of Sustainable Capability RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-07-05T01:40:34.404800Z

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.

Observation fab3dbe8-5258-447a-be1b-a1e925990f4f · outbound

This paper cites (2025, July 10).Measuring the impact of early-2025 AI on experienced open-source developer productivity.https://metr.org/blog/2025-07-10-early-2025-ai-experienced -os-dev-study/.

Short-Term Gain, Long-Term Fragility: AI Labor Substitution and the Erosion of Sustainable Capability (2025, July 10).Measuring the impact of early-2025 AI on experienced open-source developer productivity.https://metr.org/blog/2025-07-10-early-2025-ai-experienced -os-dev-study/

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T01:40:34.456769Z

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.

Observation a9337973-a948-4ba1-b852-6a582d919b67 · outbound

This paper cites (2024, October 3).Introducing canvas.https://openai.com/index/introducing-c anvas/.

Short-Term Gain, Long-Term Fragility: AI Labor Substitution and the Erosion of Sustainable Capability (2024, October 3).Introducing canvas.https://openai.com/index/introducing-c anvas/

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T01:40:34.443736Z

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.

Observation 4a24cc2e-e2ec-4760-9367-b44607b8ef71 · outbound

This paper cites (2025, September 23).

Short-Term Gain, Long-Term Fragility: AI Labor Substitution and the Erosion of Sustainable Capability (2025, September 23)

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-05T01:40:34.396090Z

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.

Observation 87856b98-1ddb-4967-b408-d04545bb3f52 · outbound

This paper cites an unresolved cited work.

Short-Term Gain, Long-Term Fragility: AI Labor Substitution and the Erosion of Sustainable Capability Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-07-05T01:40:34.472348Z

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.

Observation ab15f98a-c4b0-4ff3-947d-11757e32ccc8 · outbound

This paper cites (2025).How retrainable are AI-exposed workers? Federal Reserve Bank of New York Staff Reports, No.

Short-Term Gain, Long-Term Fragility: AI Labor Substitution and the Erosion of Sustainable Capability (2025).How retrainable are AI-exposed workers? Federal Reserve Bank of New York Staff Reports, No

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T01:40:34.499903Z

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.

Observation 4fe6dfe0-8980-4fe9-8beb-9ade0e213454 · outbound

This paper cites (2025).The ethics of AI or techno-solutionism?.Journal of Education Policy.https: //www.tandfonline.com/doi/abs/10.1080/01425692.2025.2502808.

Short-Term Gain, Long-Term Fragility: AI Labor Substitution and the Erosion of Sustainable Capability (2025).The ethics of AI or techno-solutionism?.Journal of Education Policy.https: //www.tandfonline.com/doi/abs/10.1080/01425692.2025.2502808

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-07-05T01:40:34.371795Z

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.

Observation 0ce707de-589a-4153-891b-b67d60140e53 · outbound

This paper cites (2024, March 26).AI washing and SEC enforcement.https://www.thomso nreuters.com/en-us/posts/investigation-fraud-and-risk/ai-washing-enforcement/.

Short-Term Gain, Long-Term Fragility: AI Labor Substitution and the Erosion of Sustainable Capability (2024, March 26).AI washing and SEC enforcement.https://www.thomso nreuters.com/en-us/posts/investigation-fraud-and-risk/ai-washing-enforcement/

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T01:40:34.497439Z

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.

Observation 564ccca4-fd93-489a-b916-1758e544a9de · outbound

This paper cites (2024).Global investor survey 2024.https://www.pwc.com/th/en/press-room/pres s-release/2024/press-release-26-12-24-en.html.

Short-Term Gain, Long-Term Fragility: AI Labor Substitution and the Erosion of Sustainable Capability (2024).Global investor survey 2024.https://www.pwc.com/th/en/press-room/pres s-release/2024/press-release-26-12-24-en.html

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T01:40:34.487766Z

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.

Observation df96f40a-7863-45c9-aacb-888991a7d0de · outbound

This paper cites (2025).Competition in artificial intelligence infrastructure.https://www.oecd.org/e n/publications/competition-in-artificial-intelligence-infrastructure_623d1874-e n.html.

Short-Term Gain, Long-Term Fragility: AI Labor Substitution and the Erosion of Sustainable Capability (2025).Competition in artificial intelligence infrastructure.https://www.oecd.org/e n/publications/competition-in-artificial-intelligence-infrastructure_623d1874-e n.html

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T01:40:34.455109Z

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.

Observation 4a0a9193-dfb0-425d-bd0f-3354d02b0a1a · outbound

This paper cites an unresolved cited work.

Short-Term Gain, Long-Term Fragility: AI Labor Substitution and the Erosion of Sustainable Capability Unresolved cited work

Reference 14

Resolution: verified exact; doi, observed 2026-07-05T01:40:34.372143Z

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.

Observation b199d3e8-be05-4437-b929-569aa79da2bd · outbound

This paper cites an unresolved cited work.

Short-Term Gain, Long-Term Fragility: AI Labor Substitution and the Erosion of Sustainable Capability Unresolved cited work

Reference 15

Resolution: verified exact; doi, observed 2026-07-05T01:40:34.374293Z

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.

Observation c5ff3fc7-aa93-48ed-9fe5-2d53d2dbc740 · outbound

This paper cites an unresolved cited work.

Short-Term Gain, Long-Term Fragility: AI Labor Substitution and the Erosion of Sustainable Capability Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-07-05T01:40:34.429202Z

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.

Observation c100457a-4eea-40c6-9c2d-9424b724ecfd · outbound

This paper cites (2025, June 17).Message from CEO Andy Jassy: Some thoughts on Generative AI.

Short-Term Gain, Long-Term Fragility: AI Labor Substitution and the Erosion of Sustainable Capability (2025, June 17).Message from CEO Andy Jassy: Some thoughts on Generative AI

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T01:40:34.463025Z

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.

Observation ed618794-d98c-4981-863d-7b1243193059 · outbound

This paper cites (2025c, June 26).AI is doing up to 50% of the work at Salesforce, CEO Marc Benioff says.https://www.cnbc.com/2025/06/26/ai-salesforce-benioff.html.

Short-Term Gain, Long-Term Fragility: AI Labor Substitution and the Erosion of Sustainable Capability (2025c, June 26).AI is doing up to 50% of the work at Salesforce, CEO Marc Benioff says.https://www.cnbc.com/2025/06/26/ai-salesforce-benioff.html

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T01:40:34.491886Z

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.

Observation 75eccc48-2796-4c17-9e79-e2b949f7fae2 · outbound

This paper cites (2026, January 29).Top engineers at Anthropic, OpenAI say AI now writes 100% of their code, with big implications for the future of software development jobs.https://fortune.

Short-Term Gain, Long-Term Fragility: AI Labor Substitution and the Erosion of Sustainable Capability (2026, January 29).Top engineers at Anthropic, OpenAI say AI now writes 100% of their code, with big implications for the future of software development jobs.https://fortune

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T01:40:34.504073Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4696d8ae-4d04-4102-a5ae-e947619665b5 · outbound

This paper cites Senate Commerce Committee.

Short-Term Gain, Long-Term Fragility: AI Labor Substitution and the Erosion of Sustainable Capability Senate Commerce Committee

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T01:40:34.492236Z

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.

Observation dee092ae-e16c-44b3-b82f-f318b06f2630 · outbound

This paper cites Less Hype, More Help: AI That Improves Safety, Productivity, and Care.

Short-Term Gain, Long-Term Fragility: AI Labor Substitution and the Erosion of Sustainable Capability Less Hype, More Help: AI That Improves Safety, Productivity, and Care

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T01:40:34.461177Z

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.

Observation 8ec66660-c254-4d6c-8049-a1dc19d77b43 · outbound

This paper cites (2026, March 6).The Employment Situation - February 2026.

Short-Term Gain, Long-Term Fragility: AI Labor Substitution and the Erosion of Sustainable Capability (2026, March 6).The Employment Situation - February 2026

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T01:40:34.468578Z

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.

Observation cffeb20d-012a-42d1-93c1-1197bd98e0c1 · outbound

This paper cites an unresolved cited work.

Short-Term Gain, Long-Term Fragility: AI Labor Substitution and the Erosion of Sustainable Capability Unresolved cited work

Reference 23

Resolution: verified exact; doi, observed 2026-07-05T01:40:34.374123Z

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.

Observation 449457b5-50ec-4ba1-8c1b-3aa2ddf6b9aa · outbound

This paper cites an unresolved cited work.

Short-Term Gain, Long-Term Fragility: AI Labor Substitution and the Erosion of Sustainable Capability Unresolved cited work

Reference 24

Resolution: verified exact; doi, observed 2026-07-05T01:40:34.345901Z

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.

Observation 3b120a3a-1bd8-41f2-beb3-f32e4f6efce0 · outbound

This paper cites Artificial intelligence and management: The automation–augmentation paradox.Academy of Management Review, 46(1):192–210.

Short-Term Gain, Long-Term Fragility: AI Labor Substitution and the Erosion of Sustainable Capability Artificial intelligence and management: The automation–augmentation paradox.Academy of Management Review, 46(1):192–210

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-07-05T01:40:34.378342Z

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.

Observation f6bb061a-df41-4e25-8d8d-7fa0693f38a1 · outbound

This paper cites J., & Aguirre, T.

Short-Term Gain, Long-Term Fragility: AI Labor Substitution and the Erosion of Sustainable Capability J., & Aguirre, T

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T01:40:34.439818Z

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.

Observation fe21e2b4-407f-47b7-a3ac-0fc2817f96fc · outbound

This paper cites (2025, May 16).AI labor displacement and the limits of worker retraining.https: //www.brookings.edu/articles/ai-labor-displacement-and-the-limits-of-worker-ret raining/.

Short-Term Gain, Long-Term Fragility: AI Labor Substitution and the Erosion of Sustainable Capability (2025, May 16).AI labor displacement and the limits of worker retraining.https: //www.brookings.edu/articles/ai-labor-displacement-and-the-limits-of-worker-ret raining/

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T01:40:34.424382Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5e6947d2-dc3d-4af6-8281-0ff76a04c918 · outbound

This paper cites F., Lin, K., Hewitt, J., Paranjape, A., Bevilacqua, M., Petroni, F., & Liang, P.

Short-Term Gain, Long-Term Fragility: AI Labor Substitution and the Erosion of Sustainable Capability F., Lin, K., Hewitt, J., Paranjape, A., Bevilacqua, M., Petroni, F., & Liang, P

Reference 28

Resolution: malformed identifier; raw_fallback, observed 2026-07-05T01:40:34.489437Z

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.

Observation 634d888e-81d0-4106-9236-70d3d00c7ece · outbound

This paper cites (2025).State of AI-assisted software development.https://dora.dev/dora-r eport-2025.

Short-Term Gain, Long-Term Fragility: AI Labor Substitution and the Erosion of Sustainable Capability (2025).State of AI-assisted software development.https://dora.dev/dora-r eport-2025

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T01:40:34.501983Z

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.

Observation 00cad675-9047-4210-883e-9294fb010366 · outbound

This paper cites (2026a, January 8).

Short-Term Gain, Long-Term Fragility: AI Labor Substitution and the Erosion of Sustainable Capability (2026a, January 8)

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T01:40:34.484401Z

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.

Observation 8a6e145f-9a85-4e8f-b53f-6eaac2bd11f7 · outbound

This paper cites (2024, November 18).Does GitHub Copilot improve code quality? Here’s what the data says.

Short-Term Gain, Long-Term Fragility: AI Labor Substitution and the Erosion of Sustainable Capability (2024, November 18).Does GitHub Copilot improve code quality? Here’s what the data says

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T01:40:34.493645Z

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.

Observation 34c091e2-5c48-459d-b1f7-a3647e0becd0 · outbound

This paper cites (2025).Information technology: Agencies need to plan for modernizing critical decades-old legacy systems(GAO-25-107795).https://files.gao.gov/reports/GAO-25-107795/index.

Short-Term Gain, Long-Term Fragility: AI Labor Substitution and the Erosion of Sustainable Capability (2025).Information technology: Agencies need to plan for modernizing critical decades-old legacy systems(GAO-25-107795).https://files.gao.gov/reports/GAO-25-107795/index

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T01:40:34.465230Z

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.

Observation a07b8b26-75a3-4ec6-8048-dc1b8ea89b1f · outbound

This paper cites an unresolved cited work.

Short-Term Gain, Long-Term Fragility: AI Labor Substitution and the Erosion of Sustainable Capability Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-07-05T01:40:34.490083Z

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.

Observation 4282e49a-4c99-4026-9ce6-3dcc199f472c · outbound

This paper cites (2024).AI models collapse when trained on recursively generated data.Nature, 631, 755-759.h t t p s : //www.nature.com/articles/s41586-024-07566-y 18.

Short-Term Gain, Long-Term Fragility: AI Labor Substitution and the Erosion of Sustainable Capability (2024).AI models collapse when trained on recursively generated data.Nature, 631, 755-759.h t t p s : //www.nature.com/articles/s41586-024-07566-y 18

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T01:40:34.467675Z

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.

Observation fe828399-608e-4966-bc56-afe8b2b748b9 · outbound

This paper cites (2025).Demystifying synthetic data in LLM pre-training: A sys- tematic study of scaling laws, benefits, and pitfalls.

Short-Term Gain, Long-Term Fragility: AI Labor Substitution and the Erosion of Sustainable Capability (2025).Demystifying synthetic data in LLM pre-training: A sys- tematic study of scaling laws, benefits, and pitfalls

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T01:40:34.432358Z

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.

Observation b6fac094-47f5-4fd1-94c7-9fc8610bdcab · outbound

This paper cites (2025).The 2025 Foundation Model Transparency Index.

Short-Term Gain, Long-Term Fragility: AI Labor Substitution and the Erosion of Sustainable Capability (2025).The 2025 Foundation Model Transparency Index

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T01:40:34.451197Z

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.

Observation aa0b99d5-ea61-44c2-ae38-44c853251e6f · outbound

This paper cites (2025, January 31).

Short-Term Gain, Long-Term Fragility: AI Labor Substitution and the Erosion of Sustainable Capability (2025, January 31)

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T01:40:34.465675Z

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.

Observation cdcfb2ef-f300-4e95-8cf3-be9561de9bba · outbound

This paper cites an unresolved cited work.

Short-Term Gain, Long-Term Fragility: AI Labor Substitution and the Erosion of Sustainable Capability Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-07-05T01:40:34.494885Z

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.

Observation 888ce8da-6b89-4069-801f-975632cde782 · outbound

This paper cites (2025, January 21).Microsoft and OpenAI evolve partnership to drive the next phase of AI.

Short-Term Gain, Long-Term Fragility: AI Labor Substitution and the Erosion of Sustainable Capability (2025, January 21).Microsoft and OpenAI evolve partnership to drive the next phase of AI

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T01:40:34.463071Z

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.

Observation d68849be-d9c5-45e8-8729-376644d2f87b · outbound

This paper cites (2025, September 22).Nvidia to invest up to $100 billion in OpenAI, linking two artificial intelligence titans.

Short-Term Gain, Long-Term Fragility: AI Labor Substitution and the Erosion of Sustainable Capability (2025, September 22).Nvidia to invest up to $100 billion in OpenAI, linking two artificial intelligence titans

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T01:40:34.446562Z

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.

Pith citing papers

No inbound Pith citation observations are available.