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Paper Citation Record · LEDGER

Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science

As of 19 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 0 inbound Pith citation observations for arXiv:2509.21890.

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

pith.paper-citation-record.v1
2509.21890 v2

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:50:24.292519Z

measured 65 of 65 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

65 of 65 outbound references displayed

  • verified exact5
  • verified fuzzy6
  • unresolved49
  • parse uncertain0
  • malformed identifier3
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a14a1568-5142-442c-b1b8-458cb12f36c0 · outbound

This paper cites an unresolved cited work.

Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-15T15:50:25.214663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T15:50:24.128567Z digest=sha256:7a87c7347f1e9a68cc7e0696efc63d913a84ec3b95a3bf62cf5266f2bc0debb5

Observation dc0849be-6880-4493-ac80-81826b8b8c9d · outbound

This paper cites an unresolved cited work.

Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science Unresolved cited work

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-15T15:50:24.131926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:50:24.131926Z digest=sha256:4207be2dca24ba09f822bfc576e4bfec048a1730addf8c32c26e8ea2273a68d8

Observation a320a412-aaf1-426a-85d1-dbe13e5a5751 · outbound

This paper cites Measuring the Impact of Early-2025 AI on Experienced Open-Source Developer Productivity.

Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science Measuring the Impact of Early-2025 AI on Experienced Open-Source Developer Productivity

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-15T15:50:24.134505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:50:24.134505Z digest=sha256:a250397c53b3b2fd5160f447c51ca33cf3b4d1d941fedd986c335e96fa6cfab7

Observation c650efb1-0beb-421a-b98b-f0f49bf59b10 · outbound

This paper cites an unresolved cited work.

Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science Unresolved cited work

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-15T15:50:24.137537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:50:24.137537Z digest=sha256:270314dfc9937cac797f1aed7ec3268ae557398b4a5f880fd35d4813285ea85c

Observation b001a276-c79f-49e9-bb53-4395bdd78a7d · outbound

This paper cites an unresolved cited work.

Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science Unresolved cited work

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-15T15:50:24.140147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:50:24.140147Z digest=sha256:bf4117cd103a2e9fcdb440c54048c4909f59c3b7959cc6b5511a0bb6a9d81e62

Observation 05cd3330-d0fb-41da-b9ba-a70007ce2073 · outbound

This paper cites Generative Interfaces for Language Models.

Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science Generative Interfaces for Language Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-15T15:50:24.142775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:50:24.142775Z digest=sha256:cca9ed4aea36c2b2e59bd5e7076ad86ce503a658b13ed06a75c8ec1ab110a039

Observation 821dd4d3-f461-47c9-830c-f1dc1e528fb3 · outbound

This paper cites an unresolved cited work.

Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science Unresolved cited work

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-15T15:50:24.145755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:50:24.145755Z digest=sha256:902d7138d22f689e16e5c051afee488eefe1f4eca1d9f8177e18e8bc308c4c42

Observation 04c97774-60eb-4327-a0e3-c9b6b5ae5cae · outbound

This paper cites BISCUIT: Scaffolding LLM-Generated Code with Ephemeral UIs in Computational Notebooks.

Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science BISCUIT: Scaffolding LLM-Generated Code with Ephemeral UIs in Computational Notebooks

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-15T15:50:24.148275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:50:24.148275Z digest=sha256:e977fcd6fd2f6f3debae32db15771ac8289ffa64030356c5c1612abff79b0435

Observation ed9e1c11-4281-4394-8128-b29a4978b3c3 · outbound

This paper cites an unresolved cited work.

Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science Unresolved cited work

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-15T15:50:24.150720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:50:24.150720Z digest=sha256:19661cb2287adec590c6b7291ac1825c5b05ae4c89e4800ee9a5d40874fe39e3

Observation f8368970-c0b2-431d-9091-82a82e63a83e · outbound

This paper cites an unresolved cited work.

Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-15T15:50:25.199793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T15:50:24.153277Z digest=sha256:56ec654cefa5548e88d0b29af7a9de08d9d16806bf43fdd90ad3801381498d3a

Observation 7e93de63-3d4f-43b8-897b-85c45c44e53f · outbound

This paper cites an unresolved cited work.

Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science Unresolved cited work

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-15T15:50:24.155780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:50:24.155780Z digest=sha256:9280108370641daec08ba07cc9a847ef0a23ecf4e050919803c9db68c5a68300

Observation f5095eac-1286-4972-873a-c89a4bbceae0 · outbound

This paper cites an unresolved cited work.

Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science Unresolved cited work

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-15T15:50:24.158483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:50:24.158483Z digest=sha256:76ce845c2a08d8a28cae0c139c7b7b35f04d7ca41153da38953f892a61add2b6

Observation 19d0f4af-fbca-42d2-9972-5bcd789fc382 · outbound

This paper cites an unresolved cited work.

Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-15T15:50:25.187925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T15:50:24.160947Z digest=sha256:6f8e35a275d6af598e4efd9770cb4ce98597b3fcf0a53490ef67bc993727456a

Observation 186e0f79-f212-4530-a93f-c9d2677cbc15 · outbound

This paper cites an unresolved cited work.

Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-15T15:50:25.180216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T15:50:24.163203Z digest=sha256:60ab2cb3c78774f411c09ff35141373e01df7ea388c6d4f27a8b32df399c5cfa

Observation ea583342-da69-4852-b4b5-660c1cc0f363 · outbound

This paper cites an unresolved cited work.

Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science Unresolved cited work

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-15T15:50:24.165716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:50:24.165716Z digest=sha256:e1ecce717162054aed7fdc24452a3572b120b69bc5b0f59d8eff8ea0dc218ccc

Observation 6294d2f9-ca3f-4185-a0a5-dfc3633d7547 · outbound

This paper cites an unresolved cited work.

Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science Unresolved cited work

Reference 16

Resolution
metadata mismatch
raw_fallback, observed 2026-08-15T15:50:24.907691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T15:50:24.168524Z digest=sha256:551267e0b74186bf7c1abf35f9bac23bdda1de4a2635519ed58a79efbc0ea241

Observation 9bfb1b47-f4bc-4a43-ab55-7a992511bc57 · outbound

This paper cites White, Georg Buscher, and Kuansan Wang.

Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science White, Georg Buscher, and Kuansan Wang

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-15T15:50:24.170960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:50:24.170960Z digest=sha256:976530ba21bc3069672ee2fc7e906e72c7b4cb05f68313ae7de8c75c93db72f3

Observation 33bad193-9c4f-4636-bd37-bb8bd7540811 · outbound

This paper cites an unresolved cited work.

Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-15T15:50:25.172881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T15:50:24.173257Z digest=sha256:5e38d2ad331b9a7d7c651f3ebe0837eda010eaf70240fad9c6d8534f2d0bf15a

Observation 315551bb-85df-4603-9c2c-b1586eca5a19 · outbound

This paper cites an unresolved cited work.

Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science Unresolved cited work

Reference 19

Resolution
malformed identifier
no resolver link, observed 2026-08-15T15:50:24.175637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:50:24.175637Z digest=sha256:240b67b1775546b85277a7665dcaf8bd9a80a278b815ef8584642bb35adcafbd

Observation 676337f4-b5eb-4de4-9db1-0228aebd067c · outbound

This paper cites CodeAid: Evaluating a Classroom Deployment of an LLM-based Programming Assistant that Balances Student and Educator Needs.

Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science CodeAid: Evaluating a Classroom Deployment of an LLM-based Programming Assistant that Balances Student and Educator Needs

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-15T15:50:24.178163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:50:24.178163Z digest=sha256:693736c397b5f3f7cf1e8d4bc1da3ba7de58d4a085b0f00825203ad5ae17659a

Observation 6581035a-9cd2-44fe-ac6c-e9a767fb38bc · outbound

This paper cites an unresolved cited work.

Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science Unresolved cited work

Reference 21

Resolution
metadata mismatch
raw_fallback, observed 2026-08-15T15:50:24.755632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T15:50:24.180879Z digest=sha256:ab19babb8cbc3b9c06e8c970dd1adc36ca6138a5e48dc163a0dd7f962bdcc9b7

Observation 8b3e4db0-b188-4421-a571-337ae2920f3e · outbound

This paper cites an unresolved cited work.

Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-15T15:50:25.164089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T15:50:24.183227Z digest=sha256:2f7b576fd2a966b757e4cfccf279b37713a848f5762396b0e14fe228532497e9

Observation 4eb547b2-eaf5-469d-9006-6f0ec580cfe4 · outbound

This paper cites an unresolved cited work.

Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science Unresolved cited work

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-15T15:50:24.185706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:50:24.185706Z digest=sha256:e463589437851912548df6a1cec28cc6f97db3af95f04bddf72e4412d6f2a9bb

Observation 664fb7fa-8bfb-4f8e-b3c7-d5c9759bf523 · outbound

This paper cites an unresolved cited work.

Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science Unresolved cited work

Reference 24

Resolution
malformed identifier
no resolver link, observed 2026-08-15T15:50:24.188214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:50:24.188214Z digest=sha256:74782ab47ee588d5b7739f5fdff2e5888899ce27334a9ee2038c3699b5727626

Observation 0a6d9351-2ea6-42ee-870f-0be7f5e4ae52 · outbound

This paper cites an unresolved cited work.

Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science Unresolved cited work

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-15T15:50:24.190630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:50:24.190630Z digest=sha256:a5d53c0c9d68a8fc03c80d64d44c476c82228b608d2d300f0b65507c7fe59d8e

Observation 1ca68b1f-0f0e-40ce-bb65-95e4fd39c7da · outbound

This paper cites an unresolved cited work.

Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science Unresolved cited work

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-15T15:50:24.192956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:50:24.192956Z digest=sha256:859a6d567c2347e31519c0da34d21ed2e2fdf30d50d1ff23ecaf696e5ee7bda0

Observation a7ce7b07-aff4-402b-8715-d780566ca20e · outbound

This paper cites an unresolved cited work.

Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science Unresolved cited work

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-15T15:50:24.195440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:50:24.195440Z digest=sha256:0d4586bf9f3a4be9669f7b852ec6b1da5396dddf847abceff4c461cc2a697aab

Observation a4ee049f-cf5d-4ff8-a610-66baf7069119 · outbound

This paper cites Using Large Language Models to Develop Requirements Elicitation Skills.

Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science Using Large Language Models to Develop Requirements Elicitation Skills

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-08-15T15:50:24.685550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T15:50:24.197990Z digest=sha256:fdcc0a6521b6119a3a5774e21d3789f4b9e6c2356d2d22c8ddd36c87c20229b9

Observation aafadd33-20e9-4399-9cb1-b3d0602c8427 · outbound

This paper cites I’m not sure, but.

Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science I’m not sure, but

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-15T15:50:24.200769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:50:24.200769Z digest=sha256:2aece034fa6b5df75b014809d47e02ffe2bf0fe76699138274be74b7521b9e16

Observation 7d2a60c5-ff52-41a9-b7b6-171796eb9f0b · outbound

This paper cites an unresolved cited work.

Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science Unresolved cited work

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-15T15:50:24.203093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:50:24.203093Z digest=sha256:f9ba9f0a5c19c6a78dfc4c2153d086747d025c3efda36e7a7b3292c75c097fb8

Observation eaf7070b-bf40-41c5-b566-5af8a59d0da5 · outbound

This paper cites an unresolved cited work.

Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-15T15:50:25.147696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T15:50:24.205649Z digest=sha256:94ae5ef82b0a79c5b348e26b04d8c474acf4a0ed13e1ffe60da1257ae3acbd7a

Observation 0e28734e-7f80-4396-b523-bfe5e273570b · outbound

This paper cites an unresolved cited work.

Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science Unresolved cited work

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-15T15:50:24.208209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:50:24.208209Z digest=sha256:0811efe114539097671aebbe54616163d9974560c5413ee439281473fde10c8b

Observation 8f509028-d1e4-4d2e-b91c-7f5a15830c4a · outbound

This paper cites 2010.Mann-Whitney U Test.

Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science 2010.Mann-Whitney U Test

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-15T15:50:24.210807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:50:24.210807Z digest=sha256:0003559f806e3603fcd695d6c2c6b3bffc44632ec0007803fb2c9cafb1ceeee7

Observation 49e7fae5-3486-48ad-9dc2-6adcc197aa15 · outbound

This paper cites an unresolved cited work.

Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-15T15:50:25.139491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T15:50:24.213396Z digest=sha256:dcdafe3c5614631fdcee26d6faf5db0d736fa18c89a8343ee716f5433de2fef6

Observation 3d888c35-3b02-4598-964e-55e29536c032 · outbound

This paper cites an unresolved cited work.

Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-15T15:50:25.131673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T15:50:24.218592Z digest=sha256:16a421770137f192ac7ea5315dcb4d94572a6ef2a7d69759c70cde5eaf3ca2fd

Observation 3cfb4fa7-55a1-4d15-9001-e49342efc20c · outbound

This paper cites an unresolved cited work.

Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science Unresolved cited work

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-15T15:50:24.221120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:50:24.221120Z digest=sha256:1416002e332b8118f5fb10dd742e3f4b8f6847ba8514ea08dd3ccd56652dda22

Observation cf0ea410-d513-4c80-b804-a39ced1482be · outbound

This paper cites an unresolved cited work.

Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-15T15:50:25.123944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T15:50:24.223538Z digest=sha256:c9e80d0b9802fe8e64bae63552609e859755396b6bf001b170c4de9d639dfbf1

Observation 7bcbdb23-54ef-4c80-bcf6-ac4bad1bb256 · outbound

This paper cites an unresolved cited work.

Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-15T15:50:25.115514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T15:50:24.228767Z digest=sha256:d4649bd00e40ea7463b3801225cb672b54b435a5729bc55de78e70d7e5d28c15

Observation 268d3cc4-ba99-409c-81a3-06ec9ae0a809 · outbound

This paper cites The Impact of AI on Developer Productivity: Evidence from GitHub Copilot.

Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science The Impact of AI on Developer Productivity: Evidence from GitHub Copilot

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-15T15:50:24.231044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:50:24.231044Z digest=sha256:893767de28d80a48e354442d030fc959075369dfb70169b908ab6ba9e8555f2d

Observation 75190014-9cda-4a7b-9527-a3fec34feec0 · outbound

This paper cites an unresolved cited work.

Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science Unresolved cited work

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-15T15:50:24.233817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:50:24.233817Z digest=sha256:fb8ed1d4ea38698c68252a67e3a88e87f80ddc5d7b7556af1f7fec7fad789038

Observation f9e4f1f6-eb96-4209-8f28-7345d4d521af · outbound

This paper cites Short-term AI literacy intervention does not reduce over-reliance on incorrect ChatGPT recommendations.

Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science Short-term AI literacy intervention does not reduce over-reliance on incorrect ChatGPT recommendations

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-15T15:50:24.236305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:50:24.236305Z digest=sha256:ef5f35988dd432b429f594e1e00515a36fe76abb00b4d08008795532fda37c88

Observation 5dd911b9-08e1-4bfa-8b2c-ccd93f8ff60d · outbound

This paper cites an unresolved cited work.

Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science Unresolved cited work

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-15T15:50:24.239136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:50:24.239136Z digest=sha256:a3ef972111f96b3ec88e0884bb37bbbaf9becc823c8392947c5896796f04bbe4

Observation 4dd2eb25-6d87-4e61-8950-4744f447cbd8 · outbound

This paper cites The Impact of Generative AI on Collaborative Open-Source Software Development: Evidence from GitHub Copilot.

Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science The Impact of Generative AI on Collaborative Open-Source Software Development: Evidence from GitHub Copilot

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-15T15:50:24.241521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:50:24.241521Z digest=sha256:50d507b078c55e71aedc00da41eb311a6c43d3de762ce8f900bfa05009f943f4

Observation 2ac001cc-712f-41c3-baa4-63cf8bd5e503 · outbound

This paper cites an unresolved cited work.

Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science Unresolved cited work

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-15T15:50:24.244278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:50:24.244278Z digest=sha256:b5df9790ad31b7bd7cf53923a08426c284b610bdcd83206602a25141a1206d07

Observation 9485c347-18f5-4aa1-ac15-770e9f2babde · outbound

This paper cites an unresolved cited work.

Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science Unresolved cited work

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-15T15:50:24.246856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:50:24.246856Z digest=sha256:bc5beb69ee89f35cc346854dc6869c2ad6ed3087343fe7bb79209154c3d0e4ce

Observation 952d9e93-5807-448d-83dd-34d4f5c59d4b · outbound

This paper cites an unresolved cited work.

Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-15T15:50:25.097685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T15:50:24.249301Z digest=sha256:d9acdfee323427482e05f54fd20a11ed4bcb7fdd6220f0de7dcd88b2dbc62bd3

Observation 4a6765bc-70c4-43f8-8d74-bf6f88f259ca · outbound

This paper cites "Should I Give Up Now?" Investigating LLM Pitfalls in Software Engineering.

Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science "Should I Give Up Now?" Investigating LLM Pitfalls in Software Engineering

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-15T15:50:24.251696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:50:24.251696Z digest=sha256:8118e3870e22542e47ca5cd8cbe3ee8590d6cdc99cf65617175fa062f6c64b08

Observation aba43c31-3561-4438-9008-3056377b315d · outbound

This paper cites an unresolved cited work.

Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science Unresolved cited work

Reference 48

Resolution
verified exact
doi, observed 2026-08-15T15:50:24.329726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T15:50:24.254344Z digest=sha256:952a4d63f3e13d3e3d14d140a59582bb3c2f366d661d1c59f5a442346b373ddd

Observation 14886e8d-3484-47ac-bcf2-53d71debca0e · outbound

This paper cites an unresolved cited work.

Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-15T15:50:25.090672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T15:50:24.256832Z digest=sha256:a1da18830d46b0fcd19065405e628d850e585875973441a85513404fc7095060

Observation 13f0980a-d804-4ae1-a235-ce6b338c2ce8 · outbound

This paper cites an unresolved cited work.

Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-15T15:50:25.083875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T15:50:24.262390Z digest=sha256:1c8a796dca333f234f6f9acf264aecf58704210189cbf3d2d03e880021991255

Observation 3580e928-000c-4ffd-963b-04099f5bd5c3 · outbound

This paper cites an unresolved cited work.

Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science Unresolved cited work

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-15T15:50:24.264679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:50:24.264679Z digest=sha256:64d4845e6a1624ae0b93b6f1e4c69bac0921a8a8c7f9064623e525acd151275d

Observation 70b1f900-9e6f-4198-81d3-edac41f0a9c9 · outbound

This paper cites In AIED 2025.

Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science In AIED 2025

Reference 52

Resolution
malformed identifier
no resolver link, observed 2026-08-15T15:50:24.259648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:50:24.259648Z digest=sha256:75677784a6ca0bdc0a34159ddc10712d8b8eaef5f1a151ec3e6159042ce08047

Observation 72a46b3c-7190-4d7a-b429-27adc07bbe1f · outbound

This paper cites an unresolved cited work.

Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-08-15T15:50:25.069875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T15:50:24.269681Z digest=sha256:2f5446ce5aff57acfe81540d19145e7c3437e6cd18dd8be0e1d250189ab6ba65

Observation 1c5582dc-69c0-4f4a-870b-9f318805f753 · outbound

This paper cites Data Makes Better Data Scientists.

Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science Data Makes Better Data Scientists

Reference 54

Resolution
verified exact
local_arxiv, observed 2026-08-15T15:50:24.373374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T15:50:24.274450Z digest=sha256:d77898cfb6581d4fd8c21153ce80bf2052d11cc3e4c5064540b0095a7e3a2ff3

Observation 918052bc-43ef-45d8-9470-e9dbbc74a72d · outbound

This paper cites 2005.Understanding by Design.

Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science 2005.Understanding by Design

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:50:25.077132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T15:50:24.267288Z digest=sha256:d89dc078653789533faa00f3e62d197e575543ce36064b5cc10287e8aef6fa09

Observation 92309f56-4074-4ce9-a83b-719ae565f584 · outbound

This paper cites What were the challenges for you during the tasks when you didnotuse GenAI?.

Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science What were the challenges for you during the tasks when you didnotuse GenAI?

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:50:25.062575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T15:50:24.279555Z digest=sha256:0064cc7d569442ff8c2ab00732ba548e43a4f92cf4db62bdf9de6e959a385a0e

Observation 6cb35e84-988d-415f-b824-e834630fa03d · outbound

This paper cites InProceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI ’23, Article 437).

Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science InProceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI ’23, Article 437)

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-15T15:50:24.272170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:50:24.272170Z digest=sha256:58513092fa12bdbb99d3b2c364b0153a773db68e8111dac69fb93ef20d6f76e4

Observation d2ae615e-41b6-4a61-9b4b-eb5116e6a872 · outbound

This paper cites an unresolved cited work.

Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science Unresolved cited work

Reference 59

Resolution
verified exact
doi, observed 2026-08-15T15:50:24.313563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T15:50:24.277067Z digest=sha256:5c456f6a8b4280a393cef6a5d964a88c74e990018f417d8db4f1600f980519b2

Observation b52fda6e-5807-4872-b5f0-39aebb8da8ea · outbound

This paper cites •Ensure all log events are covered.

Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science •Ensure all log events are covered

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:50:25.054859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T15:50:24.282278Z digest=sha256:8b45242a4247e8cecc37e9c7b504ceebd6c4d4e0c317532348f0190e2cbf85ca

Observation 526b773d-8b7d-403d-8ca8-8d5e5075c17a · outbound

This paper cites episode_id.

Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science episode_id

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:50:25.047485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T15:50:24.284773Z digest=sha256:4344322756a0d5e55573ce665f7f2629c951e5410ea3059d42e98d7948c92e7d

Observation 623a50c3-8802-45be-9fd6-953c2cc30e91 · outbound

This paper cites an unresolved cited work.

Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science Unresolved cited work

Reference 63

Resolution
unresolved
raw_fallback, observed 2026-08-15T15:50:25.040512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T15:50:24.287440Z digest=sha256:9009c776a3aa89d8605f35e0168a5e1f15d568cb268095092e392396250a639e

Observation 1b2e6af9-d0dc-4067-8ef0-ac423e12a0c9 · outbound

This paper cites •If AI was used well, tag behaviors (e.g.,ai_explain_concepts,clear_instruction_in_prompt) and briefly explain how it helped.

Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science •If AI was used well, tag behaviors (e.g.,ai_explain_concepts,clear_instruction_in_prompt) and briefly explain how it helped

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:50:25.033901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T15:50:24.290066Z digest=sha256:24eaf94e49ca1e2e3fbf29e439c0335b2b12ff912944d4e0d4cc53e8d59018b6

Observation c89a4b3a-c7fb-495a-b58a-e3f7fb3c92c9 · outbound

This paper cites step_id": 1,.

Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science step_id": 1,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:50:25.025893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T15:50:24.292519Z digest=sha256:0328c24e39262ab463b7d42381e9c636aefff02560cecfddc665a9f8b1d7f2a8

Observation fd36b2aa-7ee5-4a90-9844-b0e8c8820bd3 · outbound

This paper cites InProceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI ’23, Article 434).

Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science InProceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI ’23, Article 434)

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-15T15:50:24.215903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:50:24.215903Z digest=sha256:1723c726ed0b74f925ea344da820c995c1af4f952570cf3c7e9c98bb41cb575d

Observation a3ff8f28-acb1-48a3-8918-67017cbd79bd · outbound

This paper cites Speaking the Right Language: The Impact of Expertise Alignment in User-AI Interactions.

Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science Speaking the Right Language: The Impact of Expertise Alignment in User-AI Interactions

Reference 2025

Resolution
verified exact
local_arxiv, observed 2026-08-15T15:50:24.511970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T15:50:24.226022Z digest=sha256:af81d2834366ca465946715c14d82660a655993d2d5311dfa9f7065399254505

Pith citing papers

No inbound Pith citation observations are available.