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Paper Citation Record · LEDGER

Conversational AI for Rapid Scientific Prototyping: A Case Study on ESA's ELOPE Competition

As of 9 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2601.04920.

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

pith.paper-citation-record.v1
2601.04920 v2

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T11:51:58.221106Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

25 of 25 outbound references displayed

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External citation measurements

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Outbound references

Observation c86fc24d-00af-47ec-a93d-119d875759ae · outbound

This paper cites (2025) ELOPE Challenge — Kelvins.

Conversational AI for Rapid Scientific Prototyping: A Case Study on ESA's ELOPE Competition (2025) ELOPE Challenge — Kelvins

Reference 1

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source=pdf_text observed=2026-08-03T11:51:58.160238Z digest=sha256:18da2201144485ae360e645e3b92d3e91c953e899d5760d228f2a44959620c63

Observation 886c9d15-b8ba-4f12-bb9f-d3f48df16078 · outbound

This paper cites LLM-Assisted Content Analysis: Using Large Language Models to Support Deductive Coding.

Conversational AI for Rapid Scientific Prototyping: A Case Study on ESA's ELOPE Competition LLM-Assisted Content Analysis: Using Large Language Models to Support Deductive Coding

Reference 2

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source=pdf_text observed=2026-08-03T11:51:58.163511Z digest=sha256:7419ea55c7ba15de178cf49a4701e174981b502456a3782e40e6d7918ef90a65

Observation 5cdc995b-ada6-4630-83d1-79c606b00a9a · outbound

This paper cites Using an LLM to Help With Code Understanding,.

Conversational AI for Rapid Scientific Prototyping: A Case Study on ESA's ELOPE Competition Using an LLM to Help With Code Understanding,

Reference 3

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source=pdf_text observed=2026-08-03T11:51:58.166385Z digest=sha256:ccaa722d12ea9f9b5506205d9d250d69b81bed7bc57acab0a78872459cb7877b

Observation e65b7316-6958-4a82-92a7-0a8fd91144d3 · outbound

This paper cites Benchmarking LLM for Code Smells Detection: OpenAI GPT-4.0 vs DeepSeek- V3,.

Conversational AI for Rapid Scientific Prototyping: A Case Study on ESA's ELOPE Competition Benchmarking LLM for Code Smells Detection: OpenAI GPT-4.0 vs DeepSeek- V3,

Reference 4

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source=pdf_text observed=2026-08-03T11:51:58.168926Z digest=sha256:4211f063b11f3e3cf3591a06622535aac35c0c347c21d36b7edca0708efdc7ba

Observation c8e7b69c-6ec0-4a7a-a938-d398beed336b · outbound

This paper cites How Novices Use LLM- Based Code Generators to Solve CS1 Coding Tasks in a Self-Paced Learning Environment,.

Conversational AI for Rapid Scientific Prototyping: A Case Study on ESA's ELOPE Competition How Novices Use LLM- Based Code Generators to Solve CS1 Coding Tasks in a Self-Paced Learning Environment,

Reference 5

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source=pdf_text observed=2026-08-03T11:51:58.171412Z digest=sha256:ffb839ec675e4d2a0f1683e338b78ee3eec9eb18f8afb27ab7135c6eb9f552b8

Observation c54de56f-51d2-4653-8ec0-9a53b3210917 · outbound

This paper cites “I Would Have Written My Code Differently.

Conversational AI for Rapid Scientific Prototyping: A Case Study on ESA's ELOPE Competition “I Would Have Written My Code Differently

Reference 6

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source=pdf_text observed=2026-08-03T11:51:58.174090Z digest=sha256:6865e69af7442b60b89ffdfc9c4ddee4a7b7dff6567a549916eda90e136ba68b

Observation 14d2e25f-475b-4faf-8638-c3da831cd489 · outbound

This paper cites SWE-Lancer: Can Frontier LLMs Earn $1 Million from Real-World Freelance Software Engineering?.

Conversational AI for Rapid Scientific Prototyping: A Case Study on ESA's ELOPE Competition SWE-Lancer: Can Frontier LLMs Earn $1 Million from Real-World Freelance Software Engineering?

Reference 7

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source=pdf_text observed=2026-08-03T11:51:58.176857Z digest=sha256:b6f395810e38aaf226e884b812dfd36d752978047869e84da4f66023d3bc906f

Observation 0dec7bb1-3353-411e-b2fa-23a16c606bc3 · outbound

This paper cites Analysis of Student-LLM Interaction in a Software Engineering Project,.

Conversational AI for Rapid Scientific Prototyping: A Case Study on ESA's ELOPE Competition Analysis of Student-LLM Interaction in a Software Engineering Project,

Reference 8

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source=pdf_text observed=2026-08-03T11:51:58.179477Z digest=sha256:9f0b0f5cb150849f8946b46d245497f94d1843812c0d463d5bff0484fd287684

Observation 7f730e54-5efe-48ec-873c-c64393d0b350 · outbound

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

Conversational AI for Rapid Scientific Prototyping: A Case Study on ESA's ELOPE Competition The Impact of AI on Developer Productivity: Evidence from GitHub Copilot

Reference 9

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source=pdf_text observed=2026-08-03T11:51:58.181884Z digest=sha256:49f4d0f5a7f0e48688a6de5f3ce7fd75e07bc5fb65f1fc59fa57316a6ca4b96f

Observation 9eb8a242-5ee8-4e09-a974-78f70913fd93 · outbound

This paper cites A glimpse in ChatGPT ca- pabilities and its impact for AI research,.

Conversational AI for Rapid Scientific Prototyping: A Case Study on ESA's ELOPE Competition A glimpse in ChatGPT ca- pabilities and its impact for AI research,

Reference 10

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source=pdf_text observed=2026-08-03T11:51:58.184407Z digest=sha256:cfbc8da45ecba3780ee3d058fd925d741915db13bb1c4aa31c61899a913fb15a

Observation c75ed4c9-50b1-42bf-b6ae-4a935106ad27 · outbound

This paper cites Towards Scientific Intelligence: A Sur- vey of LLM-based Scientific Agents,.

Conversational AI for Rapid Scientific Prototyping: A Case Study on ESA's ELOPE Competition Towards Scientific Intelligence: A Sur- vey of LLM-based Scientific Agents,

Reference 11

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source=pdf_text observed=2026-08-03T11:51:58.186814Z digest=sha256:a04817139267eb20752b222e7910e177bb10472c89a7aab053898b34913ac974

Observation c869e524-9983-4a61-befe-aa7f010d0d87 · outbound

This paper cites Agent Laboratory: Using LLM Agents as Research Assistants.

Conversational AI for Rapid Scientific Prototyping: A Case Study on ESA's ELOPE Competition Agent Laboratory: Using LLM Agents as Research Assistants

Reference 12

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source=pdf_text observed=2026-08-03T11:51:58.189099Z digest=sha256:01c50c80b324912d4e9bf5317b128519d7a7632d292681b566e9e79d39d399cd

Observation 3b888788-953e-401d-a121-698ee2dd8715 · outbound

This paper cites Autonomous llm-driven research—from data to human-verifiable research papers,.

Conversational AI for Rapid Scientific Prototyping: A Case Study on ESA's ELOPE Competition Autonomous llm-driven research—from data to human-verifiable research papers,

Reference 13

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source=pdf_text observed=2026-08-03T11:51:58.191685Z digest=sha256:add76eedfec146f8a7cfb2b2020933ae1416ca3ec76ad37db8e201bcb9b3d135

Observation 0c2907d3-932a-41a3-a53f-ac06c23a7822 · outbound

This paper cites LLMs for science: Usage for code generation and data analysis,.

Conversational AI for Rapid Scientific Prototyping: A Case Study on ESA's ELOPE Competition LLMs for science: Usage for code generation and data analysis,

Reference 14

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source=pdf_text observed=2026-08-03T11:51:58.194309Z digest=sha256:6cef6a347ccab1c6a86723212968af54bc0b3eafb77f889dcaa9093d720e0bf9

Observation 6b65f2ec-f952-41e4-9e7f-36eef74c90e6 · outbound

This paper cites LLMs as Research Tools: A Large Scale Survey of Researchers' Usage and Perceptions.

Conversational AI for Rapid Scientific Prototyping: A Case Study on ESA's ELOPE Competition LLMs as Research Tools: A Large Scale Survey of Researchers' Usage and Perceptions

Reference 15

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source=pdf_text observed=2026-08-03T11:51:58.196719Z digest=sha256:082929d9cb677ddb8b32c7bc91a2b7e1fd59752c06671a2c11ebb081d5722aa6

Observation 1c384be7-ce28-4587-887e-06a2388f40f4 · outbound

This paper cites LLM4SR: A Survey on Large Language Models for Scientific Research.

Conversational AI for Rapid Scientific Prototyping: A Case Study on ESA's ELOPE Competition LLM4SR: A Survey on Large Language Models for Scientific Research

Reference 16

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source=pdf_text observed=2026-08-03T11:51:58.199365Z digest=sha256:dcac78df426124f60358a2b0436587e741b74e94f05bb1a660b891879132c00c

Observation 05bc5cf3-467c-4f48-8884-5fd9565c3942 · outbound

This paper cites ChatGPT: five priorities for research,.

Conversational AI for Rapid Scientific Prototyping: A Case Study on ESA's ELOPE Competition ChatGPT: five priorities for research,

Reference 17

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source=pdf_text observed=2026-08-03T11:51:58.202008Z digest=sha256:4ac87a9cc274d53e6fed61eec30edd66068354b235fa3d4596ce0e568c2cdd65

Observation 8e67106f-083e-4f54-aca1-df1e831dfbbe · outbound

This paper cites AI- Assisted Drug Re-Purposing for Human Liver Fibrosis,.

Conversational AI for Rapid Scientific Prototyping: A Case Study on ESA's ELOPE Competition AI- Assisted Drug Re-Purposing for Human Liver Fibrosis,

Reference 18

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Observation 2c453b5a-bee1-4695-85d0-58b9e6f41601 · outbound

This paper cites AI mirrors experimental science to uncover a mechanism of gene transfer crucial to bacterial evolution,.

Conversational AI for Rapid Scientific Prototyping: A Case Study on ESA's ELOPE Competition AI mirrors experimental science to uncover a mechanism of gene transfer crucial to bacterial evolution,

Reference 19

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source=pdf_text observed=2026-08-03T11:51:58.206942Z digest=sha256:1c39f4d64b0cffb05da03715eb9d1c6134b3cfc0805251521c2eaaee5918f489

Observation 4175f0dd-12cc-4cb3-954c-76dc60d41e14 · outbound

This paper cites Event- Based Vision: A Survey,.

Conversational AI for Rapid Scientific Prototyping: A Case Study on ESA's ELOPE Competition Event- Based Vision: A Survey,

Reference 20

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source=pdf_text observed=2026-08-03T11:51:58.209210Z digest=sha256:db4cf65a114beba7271a2a914b07ad54e0ff11f99c774a60f20282a0a43c8c16

Observation 89508804-eeb2-4710-b7d8-0ef307e9ce74 · outbound

This paper cites Git – Fast Version Control System,.

Conversational AI for Rapid Scientific Prototyping: A Case Study on ESA's ELOPE Competition Git – Fast Version Control System,

Reference 21

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source=pdf_text observed=2026-08-03T11:51:58.211570Z digest=sha256:5dbde534e95da5daccdc5aa89ee0c7242e46dc0b51195c1c3fbf6434d5079d7e

Observation aba8dc68-1bf9-4a29-924f-d922442d53eb · outbound

This paper cites Hartley and A.

Conversational AI for Rapid Scientific Prototyping: A Case Study on ESA's ELOPE Competition Hartley and A

Reference 22

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source=pdf_text observed=2026-08-03T11:51:58.214013Z digest=sha256:38031223c0ea845fc227dad7c211a12085aada1926b2d4405b8ca83f7255fc57

Observation 12a489a3-cd68-4f24-84bb-afedc488ff96 · outbound

This paper cites Parametric Image Alignment Using Enhanced Correlation Coefficient Max- imization,.

Conversational AI for Rapid Scientific Prototyping: A Case Study on ESA's ELOPE Competition Parametric Image Alignment Using Enhanced Correlation Coefficient Max- imization,

Reference 23

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source=pdf_text observed=2026-08-03T11:51:58.216344Z digest=sha256:2186e85b4ce2849407612f5b40f92e752bd7d20d2c0bac367373c6e6d70e0500

Observation 296c58d9-3c65-4830-aad0-084a3f9824fe · outbound

This paper cites The OpenCV Library,.

Conversational AI for Rapid Scientific Prototyping: A Case Study on ESA's ELOPE Competition The OpenCV Library,

Reference 24

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source=pdf_text observed=2026-08-03T11:51:58.218783Z digest=sha256:5425411b475235a484bbdc4a4c3783bb8c3ea195aff9c50aca1148ec24999b9d

Observation 1d8af657-d0dd-43e6-b930-1db910991a7c · outbound

This paper cites Verbosity Bias in Preference Labeling by Large Language Models.

Conversational AI for Rapid Scientific Prototyping: A Case Study on ESA's ELOPE Competition Verbosity Bias in Preference Labeling by Large Language Models

Reference 25

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source=pdf_text observed=2026-08-03T11:51:58.221106Z digest=sha256:f62a2e83c0691e0bd40edc3df6751f0a750ffcdf97d8f79f32e26ffd96b45abc

Pith citing papers

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