Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-19T10:14:51.134936Z
Paper Citation Record · LEDGER
Teaching Astronomy with Large Language Models
As of 4 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 3 inbound Pith citation observations for arXiv:2506.06921.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T07:36:38.924028Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-01T20:56:14.473955Z
Reference resolution
61 of 61 outbound references displayed
- verified exact36
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation efdda3c2-69d4-40ba-81d8-f5aed25317ef · outbound
This paper cites GPT-4 Technical Report.
Teaching Astronomy with Large Language Models GPT-4 Technical Report
Reference 1
- Resolution
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Source-reported events for the cited work
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Observation def16ac1-c0fd-447b-b73e-d5c5bb219d5a · outbound
This paper cites 2022, AI and ethics, 2, doi: 10.1007/s43681-021-00096-7.
Teaching Astronomy with Large Language Models 2022, AI and ethics, 2, doi: 10.1007/s43681-021-00096-7
Reference 2
- Resolution
- verified exact
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Source-reported events for the cited work
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Observation 6ed82d68-4714-4f04-bbd8-b5b14c58240f · outbound
This paper cites Amad, Harry, Nicolás Astorga, and Mihaela van der Schaar.
Teaching Astronomy with Large Language Models Amad, Harry, Nicolás Astorga, and Mihaela van der Schaar
Reference 3
- Resolution
- verified exact
- doi, observed 2026-05-19T10:17:15.414781Z
Source-reported events for the cited work
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Observation be94b2ff-74b0-49fc-add6-cc00a3d17f9e · outbound
This paper cites M., Nguyen, S., Zi, Y., et al.
Teaching Astronomy with Large Language Models M., Nguyen, S., Zi, Y., et al
Reference 4
- Resolution
- verified exact
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Source-reported events for the cited work
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Observation fdd37072-dcf0-4ba4-afdb-dc0e122c4366 · outbound
This paper cites 2025, Social Sciences & Humanities Open, 11, 101299, doi: 10.1016/j.ssaho.2025.101299.
Teaching Astronomy with Large Language Models 2025, Social Sciences & Humanities Open, 11, 101299, doi: 10.1016/j.ssaho.2025.101299
Reference 5
- Resolution
- verified exact
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Source-reported events for the cited work
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Observation e04b2c4f-ac3a-42bb-854a-0d2a8b0ac0bc · outbound
This paper cites Grounded Copilot: How Programmers Interact with Code-Generating Models.
Teaching Astronomy with Large Language Models Grounded Copilot: How Programmers Interact with Code-Generating Models
Reference 6
- Resolution
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Source-reported events for the cited work
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Observation 37e5b07a-516b-4ab5-abe3-e3cc13e85952 · outbound
This paper cites Programming Is Hard -- Or at Least It Used to Be: Educational Opportunities And Challenges of AI Code Generation.
Teaching Astronomy with Large Language Models Programming Is Hard -- Or at Least It Used to Be: Educational Opportunities And Challenges of AI Code Generation
Reference 7
- Resolution
- verified exact
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Source-reported events for the cited work
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Observation fe0973bc-07ea-459f-a89b-d2b4658ce3a8 · outbound
This paper cites an unresolved cited work.
Teaching Astronomy with Large Language Models Unresolved cited work
Reference 8
- Resolution
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Source-reported events for the cited work
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Observation 0543d220-1c8b-4b95-b7cd-1fffa6555ea2 · outbound
This paper cites Emergent autonomous scientific research capabilities of large language models.
Teaching Astronomy with Large Language Models Emergent autonomous scientific research capabilities of large language models
Reference 9
- Resolution
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Source-reported events for the cited work
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Observation 4cb6e30c-6442-4c09-b6fa-4a7fc379dc38 · outbound
This paper cites D., Jacoby, S., Carney, K., et al.
Teaching Astronomy with Large Language Models D., Jacoby, S., Carney, K., et al
Reference 10
- Resolution
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Source-reported events for the cited work
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Observation f6e3c977-4f5d-4a38-8de6-3fc0ad7a5a6f · outbound
This paper cites The Revolution in Astronomy Education: Data Science for the Masses.
Teaching Astronomy with Large Language Models The Revolution in Astronomy Education: Data Science for the Masses
Reference 11
- Resolution
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Source-reported events for the cited work
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Observation 3f4f3145-0611-4e83-92b0-2608ed33eaa2 · outbound
This paper cites ChemCrow: Augmenting large-language models with chemistry tools.
Teaching Astronomy with Large Language Models ChemCrow: Augmenting large-language models with chemistry tools
Reference 12
- Resolution
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Source-reported events for the cited work
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Observation 9556cd6a-6fa5-41bd-97cf-e62f9aac9a43 · outbound
This paper cites A Review of Large Language Models and Autonomous Agents in Chemistry.
Teaching Astronomy with Large Language Models A Review of Large Language Models and Autonomous Agents in Chemistry
Reference 13
- Resolution
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Source-reported events for the cited work
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Observation 002ddea7-cf9a-4bcc-9349-1c19ee00c648 · outbound
This paper cites A Comprehensive AI Policy Education Framework for University Teaching and Learning.
Teaching Astronomy with Large Language Models A Comprehensive AI Policy Education Framework for University Teaching and Learning
Reference 14
- Resolution
- verified exact
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Source-reported events for the cited work
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Observation 08ef033f-6ae3-4ee8-9c6b-1320f52bb343 · outbound
This paper cites A Systematic Review on Prompt Engineering in Large Language Models for K-12 STEM Education.
Teaching Astronomy with Large Language Models A Systematic Review on Prompt Engineering in Large Language Models for K-12 STEM Education
Reference 15
- Resolution
- verified exact
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Source-reported events for the cited work
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Observation c2b8eaf6-86d8-4e0b-a1f8-08d693fa1e37 · outbound
This paper cites From Persona to Personalization: A Survey on Role-Playing Language Agents.
Teaching Astronomy with Large Language Models From Persona to Personalization: A Survey on Role-Playing Language Agents
Reference 16
- Resolution
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Source-reported events for the cited work
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Observation b516764a-901e-46b4-be55-29c652fa26d3 · outbound
This paper cites 2021, Philosophy & technology, 34.
Teaching Astronomy with Large Language Models 2021, Philosophy & technology, 34
Reference 17
- Resolution
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Source-reported events for the cited work
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Observation c59d4372-cc34-4574-8b5c-58f31870aed4 · outbound
This paper cites 2024, Methods in Ecology and Evolution, 15, 1757, doi: 10.1111/2041-210X.14325 de Haan, T., Ting, Y.-S., Ghosal, T., et al.
Teaching Astronomy with Large Language Models 2024, Methods in Ecology and Evolution, 15, 1757, doi: 10.1111/2041-210X.14325 de Haan, T., Ting, Y.-S., Ghosal, T., et al
Reference 18
- Resolution
- verified exact
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Source-reported events for the cited work
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Observation bd7ba416-18c7-40cb-8315-00bef8622883 · outbound
This paper cites DeepSeek-V3 Technical Report.
Teaching Astronomy with Large Language Models DeepSeek-V3 Technical Report
Reference 19
- Resolution
- metadata mismatch
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Source-reported events for the cited work
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Observation 9fa685aa-f6f8-4751-acd4-e1985e6f8f0c · outbound
This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.
Teaching Astronomy with Large Language Models DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 20
- Resolution
- metadata mismatch
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Source-reported events for the cited work
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Observation a7559e21-4461-43b2-8f50-2d134a0c0e3a · outbound
This paper cites Logical equivalences, homomorphism indistinguishability, and forbidden minors.
Teaching Astronomy with Large Language Models Logical equivalences, homomorphism indistinguishability, and forbidden minors
Reference 21
- Resolution
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Source-reported events for the cited work
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Observation ba075231-ff60-4364-8637-ed83b5b07157 · outbound
This paper cites Promptly: Using Prompt Problems to Teach Learners How to Effectively Utilize AI Code Generators.
Teaching Astronomy with Large Language Models Promptly: Using Prompt Problems to Teach Learners How to Effectively Utilize AI Code Generators
Reference 22
- Resolution
- verified exact
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Source-reported events for the cited work
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Observation fa1e9509-b7ce-4bad-8dd0-20e99671fa46 · outbound
This paper cites Ethical guidelines on the use of artificial intelligence (AI) and data in teaching and learning for educators.
Teaching Astronomy with Large Language Models Ethical guidelines on the use of artificial intelligence (AI) and data in teaching and learning for educators
Reference 23
- Resolution
- verified exact
- doi, observed 2026-05-19T10:17:15.497621Z
Source-reported events for the cited work
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Observation 05c9b306-7161-4bd9-ba13-17dd9199f592 · outbound
This paper cites 2021, Annual Review of Statistics and Its Application, 8, 493, doi: 10.1146/annurev-statistics-042720-112045.
Teaching Astronomy with Large Language Models 2021, Annual Review of Statistics and Its Application, 8, 493, doi: 10.1146/annurev-statistics-042720-112045
Reference 24
- Resolution
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Source-reported events for the cited work
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Observation c80ecbcc-9125-4598-8cd2-8612b4cb0896 · outbound
This paper cites Becker, Andrew Luxton-Reilly, and James Prather.
Teaching Astronomy with Large Language Models Becker, Andrew Luxton-Reilly, and James Prather
Reference 25
- Resolution
- verified exact
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Source-reported events for the cited work
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Observation 4f48bd76-0554-44e9-b83c-a59149f473bf · outbound
This paper cites What is the Role of Large Language Models in the Evolution of Astronomy Research?.
Teaching Astronomy with Large Language Models What is the Role of Large Language Models in the Evolution of Astronomy Research?
Reference 26
- Resolution
- verified exact
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Source-reported events for the cited work
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Observation c2f25b03-c3bb-4abf-959e-7bb0c5a6c58b · outbound
This paper cites 2025, Societies, 15, 6, doi: 10.3390/soc15010006.
Teaching Astronomy with Large Language Models 2025, Societies, 15, 6, doi: 10.3390/soc15010006
Reference 27
- Resolution
- verified exact
- doi, observed 2026-05-19T10:17:15.213913Z
Source-reported events for the cited work
correction dated 2025-09-10. Source: crossref record 10.3390/soc15090252->10.3390/soc15010006:correction, observed 2026-07-11T02:59:03.669877+00:00. This notice travels one citation hop only.
Observation 1f5d85a8-b3f0-4f32-8ef1-c58265079777 · outbound
This paper cites 2001, International Journal of Artificial Intelligence in Education, 12.
Teaching Astronomy with Large Language Models 2001, International Journal of Artificial Intelligence in Education, 12
Reference 28
- Resolution
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Source-reported events for the cited work
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Observation ac08def3-2ff3-435c-91e6-00cfa958d6f6 · outbound
This paper cites 2017, Disability & Society, 32, 1627, doi: 10.1080/09687599.2017.1365695.
Teaching Astronomy with Large Language Models 2017, Disability & Society, 32, 1627, doi: 10.1080/09687599.2017.1365695
Reference 29
- Resolution
- verified exact
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Source-reported events for the cited work
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Observation dfbfb96c-6f75-4c28-ae73-426ef3c03d86 · outbound
This paper cites The Power of Feedback.
Teaching Astronomy with Large Language Models The Power of Feedback
Reference 30
- Resolution
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Observation 7c772a90-6148-487c-8e26-5fe13b25a672 · outbound
This paper cites 2021, International Journal of Artificial Intelligence in Education, 32, doi: 10.1007/s40593-021-00239-1.
Teaching Astronomy with Large Language Models 2021, International Journal of Artificial Intelligence in Education, 32, doi: 10.1007/s40593-021-00239-1
Reference 31
- Resolution
- verified exact
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Source-reported events for the cited work
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Observation 28ced14d-15f2-4994-bf8a-65400e2e28a1 · outbound
This paper cites 2008, Higher Education Research & Development, 27, 55, doi: 10.1080/07294360701658765.
Teaching Astronomy with Large Language Models 2008, Higher Education Research & Development, 27, 55, doi: 10.1080/07294360701658765
Reference 32
- Resolution
- verified exact
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Source-reported events for the cited work
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Observation 3047ce82-9592-46c9-a7a9-a4bc3ccd889f · outbound
This paper cites A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions.
Teaching Astronomy with Large Language Models A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions
Reference 33
- Resolution
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Observation ad987d96-4a53-4ad1-8684-5d3b1c5d6e01 · outbound
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Teaching Astronomy with Large Language Models 2012, Assessment & Evaluation in Higher Education, 37, 125, doi: 10.1080/02602938.2010.515012
Reference 34
- Resolution
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Source-reported events for the cited work
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Observation 6508e915-8772-4322-8b36-8a0c03e1b7a7 · outbound
This paper cites ChatGPT for Good? On Opportunities and Chal- lenges of Large Language Models for Education.
Teaching Astronomy with Large Language Models ChatGPT for Good? On Opportunities and Chal- lenges of Large Language Models for Education
Reference 35
- Resolution
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Source-reported events for the cited work
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Observation 7fccfd18-0640-494b-a564-20dccb52b4c0 · outbound
This paper cites Capabilities of Large Language Models in Control Engineering: A Benchmark Study on GPT-4, Claude 3 Opus, and Gemini 1.0 Ultra.
Teaching Astronomy with Large Language Models Capabilities of Large Language Models in Control Engineering: A Benchmark Study on GPT-4, Claude 3 Opus, and Gemini 1.0 Ultra
Reference 36
- Resolution
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Source-reported events for the cited work
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Observation a76df8a4-118f-4859-a118-c8bb87755cd1 · outbound
This paper cites AI literacy and its implications for prompt engineering strategies.
Teaching Astronomy with Large Language Models AI literacy and its implications for prompt engineering strategies
Reference 37
- Resolution
- verified exact
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Source-reported events for the cited work
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Observation 4da81e72-25fb-4fb7-bdd3-622a3bae8470 · outbound
This paper cites 2024, arXiv e-prints.
Teaching Astronomy with Large Language Models 2024, arXiv e-prints
Reference 38
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 92f002ef-1c61-48a0-8f89-6b6bbe876c6e · outbound
This paper cites 2023, Int J Educ Integr, 19, doi: 10.1007/s40979-023-00130-7.
Teaching Astronomy with Large Language Models 2023, Int J Educ Integr, 19, doi: 10.1007/s40979-023-00130-7
Reference 39
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e11de8db-56d7-461c-812e-0add874ab072 · outbound
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Teaching Astronomy with Large Language Models Unresolved cited work
Reference 40
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c74c76e1-2907-46de-b2b1-ccdbfdfc8717 · outbound
This paper cites AI Meets the Classroom: When Do Large Language Models Harm Learning?.
Teaching Astronomy with Large Language Models AI Meets the Classroom: When Do Large Language Models Harm Learning?
Reference 41
- Resolution
- verified exact
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Source-reported events for the cited work
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Observation 69f837a2-b093-4b2e-9767-9d277233786d · outbound
This paper cites Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.
Teaching Astronomy with Large Language Models Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
Reference 42
- Resolution
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Source-reported events for the cited work
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Observation e5a998f7-9326-4ed9-9e4a-50e1f8790d2c · outbound
This paper cites Sycophancy in Large Language Models: Causes and Mitigations.
Teaching Astronomy with Large Language Models Sycophancy in Large Language Models: Causes and Mitigations
Reference 43
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T10:17:15.305207Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4b7c5d46-7d48-4e16-8956-009a01c4a6f1 · outbound
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Teaching Astronomy with Large Language Models M., & Schwartz, R
Reference 44
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f15b4163-a752-432d-a05c-a1c7c1c24e79 · outbound
This paper cites AstroMLab 2: AstroLLaMA-2-70B Model and Benchmarking Specialised LLMs for Astronomy.
Teaching Astronomy with Large Language Models AstroMLab 2: AstroLLaMA-2-70B Model and Benchmarking Specialised LLMs for Astronomy
Reference 45
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T10:17:15.409475Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5c2e6f08-8b80-4f39-a6b5-c84a624ca385 · outbound
This paper cites Rubric Is All You Need: Enhancing LLM-based Code Evaluation With Question-Specific Rubrics.
Teaching Astronomy with Large Language Models Rubric Is All You Need: Enhancing LLM-based Code Evaluation With Question-Specific Rubrics
Reference 46
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T10:17:15.463452Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation bbad49be-efbe-4d72-b505-cd72fe8eeef7 · outbound
This paper cites 2025, Royal Society Open Science, 12, doi: 10.1098/rsos.241776.
Teaching Astronomy with Large Language Models 2025, Royal Society Open Science, 12, doi: 10.1098/rsos.241776
Reference 47
- Resolution
- verified exact
- doi, observed 2026-05-19T10:17:15.325128Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation bc592f97-622f-4cc6-8307-e402a3f13359 · outbound
This paper cites Large Language Models in Computer Science Education: A Systematic Literature Review.
Teaching Astronomy with Large Language Models Large Language Models in Computer Science Education: A Systematic Literature Review
Reference 48
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T10:17:15.350522Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 93871abe-d373-4f29-b830-d3a0ce883d43 · outbound
This paper cites M., & Jesse, J.
Teaching Astronomy with Large Language Models M., & Jesse, J
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T10:17:18.280186Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f764f174-06d0-4abc-81dd-064f670e0e99 · outbound
This paper cites 2024, Frontiers in Education, 9, doi: 10.3389/feduc.2024.1461362.
Teaching Astronomy with Large Language Models 2024, Frontiers in Education, 9, doi: 10.3389/feduc.2024.1461362
Reference 50
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T10:17:15.289376Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9fd88036-b7f7-40bb-8a47-5be5b80c31c2 · outbound
This paper cites The Prompt Report: A Systematic Survey of Prompt Engineering Techniques.
Teaching Astronomy with Large Language Models The Prompt Report: A Systematic Survey of Prompt Engineering Techniques
Reference 51
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-19T10:17:15.189278Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e75ee025-d2f3-4be0-97ec-70e34ab13a5f · outbound
This paper cites J., Lara-Alecio, R., & Guerrero, C.
Teaching Astronomy with Large Language Models J., Lara-Alecio, R., & Guerrero, C
Reference 52
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T10:17:15.344473Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 98be676d-d8ad-48d6-b6d9-8494be5873c7 · outbound
This paper cites A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models.
Teaching Astronomy with Large Language Models A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models
Reference 53
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-19T10:17:15.249377Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation cd0f0304-4933-49db-bf71-2f6705f03608 · outbound
This paper cites 2018, European Journal of Engineering Education, 43, 507, doi: 10.1080/03043797.2017.1290585.
Teaching Astronomy with Large Language Models 2018, European Journal of Engineering Education, 43, 507, doi: 10.1080/03043797.2017.1290585
Reference 54
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T10:17:15.280992Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8ce565c1-2d39-495d-a15f-78984b5283c9 · outbound
This paper cites Large Language Models for Education: A Survey and Outlook.
Teaching Astronomy with Large Language Models Large Language Models for Education: A Survey and Outlook
Reference 55
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-19T10:17:15.541891Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e86c64f4-fad6-4f90-9927-80a3a6ac88b0 · outbound
This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.
Teaching Astronomy with Large Language Models Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Reference 56
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-19T10:17:15.391594Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 66d88f88-947a-4766-b04a-247894a2422d · outbound
This paper cites MathChat: Converse to Tackle Challenging Math Problems with LLM Agents.
Teaching Astronomy with Large Language Models MathChat: Converse to Tackle Challenging Math Problems with LLM Agents
Reference 57
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-19T10:17:15.379380Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b76a2f3f-0b6a-43a4-aeea-ccf559f0616b · outbound
This paper cites ExpertPrompting: Instructing Large Language Models to be Distinguished Experts.
Teaching Astronomy with Large Language Models ExpertPrompting: Instructing Large Language Models to be Distinguished Experts
Reference 58
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T10:17:15.398297Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 33e502f7-3a55-4fac-996c-27f0f9d94e79 · outbound
This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.
Teaching Astronomy with Large Language Models ReAct: Synergizing Reasoning and Acting in Language Models
Reference 59
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-19T10:17:15.533556Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 22556416-a837-42a1-8c10-21f0ce91580b · outbound
This paper cites 2024, Smart Learning Environments, 11, doi: 10.1186/s40561-024-00316-7.
Teaching Astronomy with Large Language Models 2024, Smart Learning Environments, 11, doi: 10.1186/s40561-024-00316-7
Reference 60
- Resolution
- verified exact
- doi, observed 2026-05-19T10:17:15.384433Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 891779b1-7c8f-4e87-914b-7d450bf2c948 · outbound
This paper cites When "A Helpful Assistant" Is Not Really Helpful: Personas in System Prompts Do Not Improve Performances of Large Language Models.
Teaching Astronomy with Large Language Models When "A Helpful Assistant" Is Not Really Helpful: Personas in System Prompts Do Not Improve Performances of Large Language Models
Reference 61
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T10:17:15.172201Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Pith citing papers
Observation b2119e87-4e59-4901-aeef-7f6e65d56743 · inbound
The Ray Tracing Sampler: Bayesian Sampling of Neural Networks for Everyone cites this paper.
The Ray Tracing Sampler: Bayesian Sampling of Neural Networks for Everyone Teaching Astronomy with Large Language Models
Reference 67
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T07:36:38.924028Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 90ba941f-51d9-4dc1-90c5-2c6408adf51d · inbound
Reasoning4Sciences: Bridging Reasoning Language Models to All Scientific Branches cites this paper.
Reasoning4Sciences: Bridging Reasoning Language Models to All Scientific Branches Teaching Astronomy with Large Language Models
Reference 271
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T20:56:14.475263Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation cd1bc438-dd6d-46ee-b10d-2c6f16228f9c · inbound
Reasoning4Sciences: Bridging Reasoning Language Models to All Scientific Branches cites this paper.
Reasoning4Sciences: Bridging Reasoning Language Models to All Scientific Branches Teaching Astronomy with Large Language Models
Reference 288
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T08:35:34.026008Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.