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Paper Citation Record · LEDGER

AI-accelerated End-to-End Framework for Rapid Professional Upskilling

As of 8 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2607.14044.

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

pith.paper-citation-record.v1
2607.14044 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T02:59:46.502490Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

42 of 42 outbound references displayed

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External citation measurements

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Outbound references

Observation a17b0702-98f6-409c-95bd-4478be945bcd · outbound

This paper cites The future of jobs report 2025,.

AI-accelerated End-to-End Framework for Rapid Professional Upskilling The future of jobs report 2025,

Reference 1

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Observation 83413b6f-b3cf-4efd-9eea-890bd59a7764 · outbound

This paper cites Skills aren’t soft or hard — they’re durable or perishable,.

AI-accelerated End-to-End Framework for Rapid Professional Upskilling Skills aren’t soft or hard — they’re durable or perishable,

Reference 2

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source=pdf_text observed=2026-08-02T02:59:42.477103Z digest=sha256:d790c6298fc3d308c3595765d5dd9e89adec8590e028dc719e00e72279b8da9a

Observation 5668b46f-4d1e-4efd-9a05-bd874fae2c65 · outbound

This paper cites The enterprise guide to closing the skills gap: Strategies for building and maintaining a skilled workforce,.

AI-accelerated End-to-End Framework for Rapid Professional Upskilling The enterprise guide to closing the skills gap: Strategies for building and maintaining a skilled workforce,

Reference 3

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Observation a7c56834-8574-435b-a449-014a59c2aa2b · outbound

This paper cites Generative AI at work,.

AI-accelerated End-to-End Framework for Rapid Professional Upskilling Generative AI at work,

Reference 4

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source=pdf_text observed=2026-08-02T02:59:42.684930Z digest=sha256:8815a7a990910471d81a4af3c308d9255d84146a9b949696736b80ff3b95ff50

Observation 794c6a6d-8ac6-46de-928e-5177e59a0883 · outbound

This paper cites Experimental evidence on the productivity effects of generative artificial intelligence,.

AI-accelerated End-to-End Framework for Rapid Professional Upskilling Experimental evidence on the productivity effects of generative artificial intelligence,

Reference 5

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source=pdf_text observed=2026-08-02T02:59:42.780493Z digest=sha256:136da6e1715a6a6c9aa49a6229bae1b33ee3a4691d5fcd7ba29c16ac9f9aaba1

Observation a46e5d2a-a37c-4658-8f17-4d61fa0ed0d8 · outbound

This paper cites Navigating the jagged technological frontier: Field experimental evidence of the effects of artificial intelligence on knowledge worker productivity and quality,.

AI-accelerated End-to-End Framework for Rapid Professional Upskilling Navigating the jagged technological frontier: Field experimental evidence of the effects of artificial intelligence on knowledge worker productivity and quality,

Reference 6

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source=pdf_text observed=2026-08-02T02:59:42.890254Z digest=sha256:3cc7510e47f57b45ca5a89a96da6f620fe2e0523fc1d8faf66e5820a0dcc8f8c

Observation 60574494-0c9e-4665-846b-1cb88ff41bb0 · outbound

This paper cites Retraining and reskilling workers in the age of automation,.

AI-accelerated End-to-End Framework for Rapid Professional Upskilling Retraining and reskilling workers in the age of automation,

Reference 7

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source=pdf_text observed=2026-08-02T02:59:42.988280Z digest=sha256:ccd84d9fbdfeea7775415b07764f2836419a8c3b13f084edd02d07d549bb6c5c

Observation b05f4cc8-1878-4831-8b6d-11e34224e702 · outbound

This paper cites an unresolved cited work.

AI-accelerated End-to-End Framework for Rapid Professional Upskilling Unresolved cited work

Reference 8

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source=pdf_text observed=2026-08-02T02:59:43.089691Z digest=sha256:afe9e8ee833a5d996284483095657829d828747348d03fb086b2d83db9b137da

Observation d85ef946-47f1-4e08-9e88-87de931f25f5 · outbound

This paper cites Guidelines for designing AI technologies to support adult learning,.

AI-accelerated End-to-End Framework for Rapid Professional Upskilling Guidelines for designing AI technologies to support adult learning,

Reference 9

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source=pdf_text observed=2026-08-02T02:59:43.202439Z digest=sha256:4708e54e3c5f3e8e2e0edbb5fcbe035236916fdb19dd2a9024eb1fa15806a8eb

Observation 8217e4ee-8f4f-4c15-9fb3-d96a4fe4bbd4 · outbound

This paper cites PlanGlow: Personalized study planning with an explainable and controllable LLM-driven system,.

AI-accelerated End-to-End Framework for Rapid Professional Upskilling PlanGlow: Personalized study planning with an explainable and controllable LLM-driven system,

Reference 10

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source=pdf_text observed=2026-08-02T02:59:43.348542Z digest=sha256:df50e33dc8d1bef673df16dc0cd761dc859cf9440d1425a9205cdef24ed38e55

Observation 2ffbdabe-bfef-474f-aeb6-adaa7e378598 · outbound

This paper cites Short-term gains, long-term gaps: The impact of GenAI and search technologies on retention,.

AI-accelerated End-to-End Framework for Rapid Professional Upskilling Short-term gains, long-term gaps: The impact of GenAI and search technologies on retention,

Reference 11

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source=pdf_text observed=2026-08-02T02:59:43.469065Z digest=sha256:3563939cd76976749f6dbffe467c7c27810842391b026cb5bb0937cd14b9a8b0

Observation 7e8a649c-b6e4-495a-926d-a72c319b5bb7 · outbound

This paper cites Instructional agents: Reducing teaching faculty workload through multi-agent instructional design,.

AI-accelerated End-to-End Framework for Rapid Professional Upskilling Instructional agents: Reducing teaching faculty workload through multi-agent instructional design,

Reference 12

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source=pdf_text observed=2026-08-02T02:59:43.580738Z digest=sha256:566f780153911758a6937f44033a71337c948c9b4697b5f602f8c5db536a7fa1

Observation 80bfff38-2588-407a-b4a7-64dd142155e2 · outbound

This paper cites Enabling Multi-Agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design.

AI-accelerated End-to-End Framework for Rapid Professional Upskilling Enabling Multi-Agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design

Reference 13

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source=pdf_text observed=2026-08-02T02:59:43.696765Z digest=sha256:71be17481f285026b0b6a5c8af4d64cfc148baa26e5bb7899ac581c39204d988

Observation 6e3e2f4c-0df7-4ba0-a7cb-c2e91fc4e70b · outbound

This paper cites ARCHED: A human-centered framework for transparent, responsible, and collaborative AI assisted instructional design,.

AI-accelerated End-to-End Framework for Rapid Professional Upskilling ARCHED: A human-centered framework for transparent, responsible, and collaborative AI assisted instructional design,

Reference 14

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source=pdf_text observed=2026-08-02T02:59:43.812992Z digest=sha256:28f897418d986478bddc827e458ec37e0ce6040d06438827861955e0f70089c2

Observation 7c10bdf4-f702-4c2d-b06c-51dfc2d9431d · outbound

This paper cites RAG-PRISM: A personalized, rapid, and immersive skill mastery framework with adaptive retrieval-augmented tutoring,.

AI-accelerated End-to-End Framework for Rapid Professional Upskilling RAG-PRISM: A personalized, rapid, and immersive skill mastery framework with adaptive retrieval-augmented tutoring,

Reference 15

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source=pdf_text observed=2026-08-02T02:59:43.928922Z digest=sha256:5cd599d09b944169d839f09188344d810092bf58a5cdb106fecd5dcd54dc78de

Observation 827deefc-df27-4642-a89d-02ad879c1187 · outbound

This paper cites Tutor CoPilot: A human-AI approach for scaling real-time expertise,.

AI-accelerated End-to-End Framework for Rapid Professional Upskilling Tutor CoPilot: A human-AI approach for scaling real-time expertise,

Reference 16

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source=pdf_text observed=2026-08-02T02:59:44.045173Z digest=sha256:0309e640c8d68c8e2dac59efe7c7a7fd9b17869ec24df3f8ed9ea68252cb9e70

Observation a756e2e3-6432-4edd-a308-9fa24b6709b3 · outbound

This paper cites Teacher- authored prompts for configuring student-AI dialogue: K12 classroom implementation,.

AI-accelerated End-to-End Framework for Rapid Professional Upskilling Teacher- authored prompts for configuring student-AI dialogue: K12 classroom implementation,

Reference 17

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source=pdf_text observed=2026-08-02T02:59:44.143296Z digest=sha256:95eaff066ec01d5e046042fc9218a8ecb1288672febe37c0855ae5a051dffa92

Observation c2f15e25-32fb-42b7-bcce-d198914c1f13 · outbound

This paper cites A classroom study of LLM-generated feed- back intervention in introductory programming,.

AI-accelerated End-to-End Framework for Rapid Professional Upskilling A classroom study of LLM-generated feed- back intervention in introductory programming,

Reference 18

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source=pdf_text observed=2026-08-02T02:59:44.254279Z digest=sha256:1e6fafbeae65dda1e4acc96515ef7d9b8a9eda72365ab304b844ac689694b3b6

Observation 95d62738-c106-4ef2-97e7-7f597c6c1778 · outbound

This paper cites AI technicians: Developing rapid occupational training methods for a competitive AI workforce,.

AI-accelerated End-to-End Framework for Rapid Professional Upskilling AI technicians: Developing rapid occupational training methods for a competitive AI workforce,

Reference 19

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Observation c89c4de1-35ae-48b6-aff7-6498d64459b4 · outbound

This paper cites A systematic review of research on large language models for computer programming education,.

AI-accelerated End-to-End Framework for Rapid Professional Upskilling A systematic review of research on large language models for computer programming education,

Reference 20

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source=pdf_text observed=2026-08-02T02:59:44.486978Z digest=sha256:56521bd5188a22703952445a18066cacc3de0848bfedca387c562ca2cab02427

Observation c8de32ec-54f5-4b03-88b0-583f5ce08ce7 · outbound

This paper cites Quantifying cognitive bias induc- tion in LLM-generated content,.

AI-accelerated End-to-End Framework for Rapid Professional Upskilling Quantifying cognitive bias induc- tion in LLM-generated content,

Reference 21

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Observation 714babeb-943e-4bc4-8cdb-6be1dcbd174b · outbound

This paper cites Fine-grained hallucination detection and editing for language models,.

AI-accelerated End-to-End Framework for Rapid Professional Upskilling Fine-grained hallucination detection and editing for language models,

Reference 22

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source=pdf_text observed=2026-08-02T02:59:44.719357Z digest=sha256:4a956441d8efa90da414a69a8d727b83fffd6688546040cb5e39beacf9d6cd4a

Observation 54e7aaf5-8325-47d2-88c9-95db0953dd1a · outbound

This paper cites VeriScore: Evaluating the factuality of verifiable claims in long-form text generation,.

AI-accelerated End-to-End Framework for Rapid Professional Upskilling VeriScore: Evaluating the factuality of verifiable claims in long-form text generation,

Reference 23

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source=pdf_text observed=2026-08-02T02:59:44.736568Z digest=sha256:d65fe7d2f2e52b7fe3b8288ed6fde9aa37fc3b310e11830fad547a0798e71afb

Observation 4f195f41-dbb1-417f-b00b-eac91292aa21 · outbound

This paper cites TutorGym: A testbed for evaluating AI agents as tutors and students,.

AI-accelerated End-to-End Framework for Rapid Professional Upskilling TutorGym: A testbed for evaluating AI agents as tutors and students,

Reference 24

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Observation 14e5588b-c225-4ed9-adc4-b7aee510fdec · outbound

This paper cites Position: Evaluating generative AI systems is a social science measurement challenge,.

AI-accelerated End-to-End Framework for Rapid Professional Upskilling Position: Evaluating generative AI systems is a social science measurement challenge,

Reference 25

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Observation a70fc77b-1e00-48eb-abfe-92dc4464b5f6 · outbound

This paper cites From course to skill: Evaluating large language model performance in curricular analytics,.

AI-accelerated End-to-End Framework for Rapid Professional Upskilling From course to skill: Evaluating large language model performance in curricular analytics,

Reference 26

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Observation 120203c8-eac6-446d-83ad-ee91827e969f · outbound

This paper cites Modernizing ground truth: Four shifts toward improving reliability and validity in AI in education,.

AI-accelerated End-to-End Framework for Rapid Professional Upskilling Modernizing ground truth: Four shifts toward improving reliability and validity in AI in education,

Reference 27

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Observation 9a95143d-3892-460e-819f-cf9f943d7149 · outbound

This paper cites Security considerations for multi-agent AI systems: A scalable design-based framework and survey,.

AI-accelerated End-to-End Framework for Rapid Professional Upskilling Security considerations for multi-agent AI systems: A scalable design-based framework and survey,

Reference 28

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Observation 4cd836f4-e239-4d26-981b-8cbe499b31ef · outbound

This paper cites Test-enhanced learning: Taking memory tests improves long-term retention,.

AI-accelerated End-to-End Framework for Rapid Professional Upskilling Test-enhanced learning: Taking memory tests improves long-term retention,

Reference 29

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Observation bced64ee-9888-40c6-9b9e-700d0d4ac5a1 · outbound

This paper cites The relative effectiveness of human tutoring, intelligent tutoring systems, and other tutoring systems,.

AI-accelerated End-to-End Framework for Rapid Professional Upskilling The relative effectiveness of human tutoring, intelligent tutoring systems, and other tutoring systems,

Reference 30

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Observation 6adfbbd7-8ca4-43d1-bf5c-ac4c20ef0883 · outbound

This paper cites Training LLM- based tutors to improve student learning outcomes in dialogues,.

AI-accelerated End-to-End Framework for Rapid Professional Upskilling Training LLM- based tutors to improve student learning outcomes in dialogues,

Reference 31

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Observation 4a1b3053-8c6c-4f1a-9646-f9cbcf621e2e · outbound

This paper cites Productive failure in learning math,.

AI-accelerated End-to-End Framework for Rapid Professional Upskilling Productive failure in learning math,

Reference 32

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source=pdf_text observed=2026-08-02T02:59:45.758377Z digest=sha256:4340edd8f856d25cb7e2d50f3b08ae0a1c04326ac1a9b0f18eb2b4741891deac

Observation 8e90574d-51a7-49ab-9927-c43c1cefe76b · outbound

This paper cites Dynamics of affective states during complex learning,.

AI-accelerated End-to-End Framework for Rapid Professional Upskilling Dynamics of affective states during complex learning,

Reference 33

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Observation 3a62dcf1-f287-4bcf-bd45-a3ba41b16da9 · outbound

This paper cites Knowledge tracing: Modeling the acquisition of procedural knowledge,.

AI-accelerated End-to-End Framework for Rapid Professional Upskilling Knowledge tracing: Modeling the acquisition of procedural knowledge,

Reference 34

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Observation 52266f9b-30c4-4175-a379-48a3605cd02e · outbound

This paper cites Brief but impactful: How human tutoring interactions shape engagement in online learning,.

AI-accelerated End-to-End Framework for Rapid Professional Upskilling Brief but impactful: How human tutoring interactions shape engagement in online learning,

Reference 35

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Observation 86fa3257-97ee-496f-9d63-055274a79180 · outbound

This paper cites Assessing the quality of AI-generated exams: A large- scale field study,.

AI-accelerated End-to-End Framework for Rapid Professional Upskilling Assessing the quality of AI-generated exams: A large- scale field study,

Reference 36

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Observation 1f421567-b302-41cc-aba2-ec10afa6dc61 · outbound

This paper cites MCQG-SRefine: Multiple choice question generation and evaluation with iterative self-critique, correction, and comparison feed- back,.

AI-accelerated End-to-End Framework for Rapid Professional Upskilling MCQG-SRefine: Multiple choice question generation and evaluation with iterative self-critique, correction, and comparison feed- back,

Reference 37

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Observation 8628bd0a-6c32-4b9e-8387-a59086ad084c · outbound

This paper cites QG-SMS: En- hancing test item analysis via student modeling and simulation,.

AI-accelerated End-to-End Framework for Rapid Professional Upskilling QG-SMS: En- hancing test item analysis via student modeling and simulation,

Reference 38

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Observation c04bd187-6f20-4a2a-aa79-fe52a9588a88 · outbound

This paper cites The iceberg index: Measuring skills-centered exposure in the AI economy,.

AI-accelerated End-to-End Framework for Rapid Professional Upskilling The iceberg index: Measuring skills-centered exposure in the AI economy,

Reference 39

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Observation c3528b00-21a5-49ae-9b76-df7d7af84591 · outbound

This paper cites Automation experiments and inequal- ity,.

AI-accelerated End-to-End Framework for Rapid Professional Upskilling Automation experiments and inequal- ity,

Reference 40

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Observation 61d2030b-6cbf-4159-8b10-e80fd898d326 · outbound

This paper cites Some simple economics of AGI,.

AI-accelerated End-to-End Framework for Rapid Professional Upskilling Some simple economics of AGI,

Reference 41

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source=pdf_text observed=2026-08-02T02:59:46.449233Z digest=sha256:80644241c7f050af27f64f7a5b9756f62f1e4037018092f9341bbebf3488e238

Observation 355d3489-491d-4eef-a571-f335473934c4 · outbound

This paper cites Available: https://arxiv.org/abs/2602.20946.

AI-accelerated End-to-End Framework for Rapid Professional Upskilling Available: https://arxiv.org/abs/2602.20946

Reference 2026

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Pith citing papers

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