Paper Citation Record · LEDGER

SPARQL Query Generation with LLMs: Measuring the Impact of Training Data Memorization and Knowledge Injection

As of 7 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2507.13859.

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

pith.paper-citation-record.v1
2507.13859 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:19:04.188479Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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

33 of 33 outbound references displayed

verified exact0
verified fuzzy25
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 77aa6ecb-8db9-4413-ba30-e6bc956bad7f · outbound

This paper cites Available at SSRN 5009450.

SPARQL Query Generation with LLMs: Measuring the Impact of Training Data Memorization and Knowledge Injection Available at SSRN 5009450

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:19:14.524624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a09af8dc-09b2-497f-9605-e5b58c341962 · outbound

This paper cites Leveraging small language models for Text2SPARQL tasks to improve the resilience of AI assistance.

SPARQL Query Generation with LLMs: Measuring the Impact of Training Data Memorization and Knowledge Injection Leveraging small language models for Text2SPARQL tasks to improve the resilience of AI assistance

Reference 2

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Observation 01289c90-d7ef-41ea-b5fe-5e83196de656 · outbound

This paper cites Transactions of the ACL10(2022).

SPARQL Query Generation with LLMs: Measuring the Impact of Training Data Memorization and Knowledge Injection Transactions of the ACL10(2022)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:19:14.100930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0239471f-b9ac-4356-a31a-7ffeb761a99f · outbound

This paper cites IEEE Access (2024).

SPARQL Query Generation with LLMs: Measuring the Impact of Training Data Memorization and Knowledge Injection IEEE Access (2024)

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:19:13.710986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1ba065ec-c0c5-4af5-b4ea-ed0b62bb7bff · outbound

This paper cites In: Interna- tional semantic web conference.

SPARQL Query Generation with LLMs: Measuring the Impact of Training Data Memorization and Knowledge Injection In: Interna- tional semantic web conference

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:19:13.314845Z

Source-reported events for the cited work

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Observation 5fa18dbd-0086-49e9-9c17-7855353aebf7 · outbound

This paper cites LLM-based SPARQL Query Generation from Natural Language over Federated Knowledge Graphs.

SPARQL Query Generation with LLMs: Measuring the Impact of Training Data Memorization and Knowledge Injection LLM-based SPARQL Query Generation from Natural Language over Federated Knowledge Graphs

Reference 6

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Source-reported events for the cited work

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Observation 05f76729-e56b-4310-b534-4123135b2bf9 · outbound

This paper cites Open Access Series in Informatics (OASIcs)113, 1–15 (2023).

SPARQL Query Generation with LLMs: Measuring the Impact of Training Data Memorization and Knowledge Injection Open Access Series in Informatics (OASIcs)113, 1–15 (2023)

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:19:12.994835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 6597d4ce-22e8-4227-8a6c-81d176b82976 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

SPARQL Query Generation with LLMs: Measuring the Impact of Training Data Memorization and Knowledge Injection DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T16:19:00.405814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9820a2a6-c995-40d1-84c4-2561ba8d3233 · outbound

This paper cites In: The Semantic Web.

SPARQL Query Generation with LLMs: Measuring the Impact of Training Data Memorization and Knowledge Injection In: The Semantic Web

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:19:12.615438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 43de6b7a-bf7a-4fe0-a1d9-c119e1826c71 · outbound

This paper cites In: SEMANTiCS (Posters & Demos) (2023).

SPARQL Query Generation with LLMs: Measuring the Impact of Training Data Memorization and Knowledge Injection In: SEMANTiCS (Posters & Demos) (2023)

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:19:12.198067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 896a4f87-52fe-4fc1-8d4a-a685035ab1df · outbound

This paper cites Transactions of the ACL12, 786–802 (2024).

SPARQL Query Generation with LLMs: Measuring the Impact of Training Data Memorization and Knowledge Injection Transactions of the ACL12, 786–802 (2024)

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:19:11.807347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 674feb92-dfeb-49a8-abc7-b0f1f403b9fb · outbound

This paper cites In: ECAI 2023, pp.

SPARQL Query Generation with LLMs: Measuring the Impact of Training Data Memorization and Knowledge Injection In: ECAI 2023, pp

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:19:11.362361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 3bb32aa5-1a52-427e-a748-ee3d06b45b01 · outbound

This paper cites In: European Semantic Web Conference.

SPARQL Query Generation with LLMs: Measuring the Impact of Training Data Memorization and Knowledge Injection In: European Semantic Web Conference

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:19:11.040774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a86fbb74-2c39-4ae6-99b2-b138b08bce8a · outbound

This paper cites In: Findings of the Association for Computational Linguistics ACL 2024.

SPARQL Query Generation with LLMs: Measuring the Impact of Training Data Memorization and Knowledge Injection In: Findings of the Association for Computational Linguistics ACL 2024

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:19:10.715595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 8eb2d137-ab91-46d2-8b1a-de5d3191ed40 · outbound

This paper cites In: Findings of the Association for Computational Linguistics: EMNLP 2024.

SPARQL Query Generation with LLMs: Measuring the Impact of Training Data Memorization and Knowledge Injection In: Findings of the Association for Computational Linguistics: EMNLP 2024

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:19:10.319462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation ae2f5420-86f3-484c-9692-828a1bf1b5e0 · outbound

This paper cites In: Proceedings of the Workshop on Generative AI and Knowledge Graphs (GenAIK).

SPARQL Query Generation with LLMs: Measuring the Impact of Training Data Memorization and Knowledge Injection In: Proceedings of the Workshop on Generative AI and Knowledge Graphs (GenAIK)

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:19:09.999947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f1854000-860e-4716-80ca-718ae3801da7 · outbound

This paper cites Assessing SPARQL capabilities of Large Language Models.

SPARQL Query Generation with LLMs: Measuring the Impact of Training Data Memorization and Knowledge Injection Assessing SPARQL capabilities of Large Language Models

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 9dac5567-44cb-4318-8255-49226d74e180 · outbound

This paper cites In: 2022 IEEE 16th International Conference on Semantic Computing (ICSC).

SPARQL Query Generation with LLMs: Measuring the Impact of Training Data Memorization and Knowledge Injection In: 2022 IEEE 16th International Conference on Semantic Computing (ICSC)

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:19:09.752885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 801885da-b184-4c91-9865-83d9ceda2d71 · outbound

This paper cites In: International Conference on Web Engineering.

SPARQL Query Generation with LLMs: Measuring the Impact of Training Data Memorization and Knowledge Injection In: International Conference on Web Engineering

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:19:09.469241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 096259dc-0988-4f05-ab89-6210b93a11b7 · outbound

This paper cites In: International Semantic Web Conference.

SPARQL Query Generation with LLMs: Measuring the Impact of Training Data Memorization and Knowledge Injection In: International Semantic Web Conference

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:19:09.205077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 9b421890-e4de-40d8-bd6b-c54914423f29 · outbound

This paper cites Large Language Models Meet NLP: A Survey.

SPARQL Query Generation with LLMs: Measuring the Impact of Training Data Memorization and Knowledge Injection Large Language Models Meet NLP: A Survey

Reference 21

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Source-reported events for the cited work

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Observation 4123015c-5b1d-4f89-8a91-187619d41bb5 · outbound

This paper cites SWAT4HCLS 2024: The 15th International Conference on Se- mantic Web Applications and Tools for Health Care and Life Sciences (2024).

SPARQL Query Generation with LLMs: Measuring the Impact of Training Data Memorization and Knowledge Injection SWAT4HCLS 2024: The 15th International Conference on Se- mantic Web Applications and Tools for Health Care and Life Sciences (2024)

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation db422f8c-2548-4081-928e-183141112893 · outbound

This paper cites In: Proceedings of the 31st International Conference on Computational Linguistics.

SPARQL Query Generation with LLMs: Measuring the Impact of Training Data Memorization and Knowledge Injection In: Proceedings of the 31st International Conference on Computational Linguistics

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:19:08.614815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 86b20e62-c0ef-40e6-ae9f-bdf6abbccbe4 · outbound

This paper cites an unresolved cited work.

SPARQL Query Generation with LLMs: Measuring the Impact of Training Data Memorization and Knowledge Injection Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-06T16:19:08.228747Z

Source-reported events for the cited work

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Observation a4dba723-b513-450b-bc31-609a76224878 · outbound

This paper cites ACM Transactions on Computing Education (TOCE)18(3), 1–29 (2018).

SPARQL Query Generation with LLMs: Measuring the Impact of Training Data Memorization and Knowledge Injection ACM Transactions on Computing Education (TOCE)18(3), 1–29 (2018)

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:19:07.868930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation b50e9df9-2945-4ddd-a376-16b41a810bed · outbound

This paper cites Semantic Web15(6), 2193–2207 (2024).

SPARQL Query Generation with LLMs: Measuring the Impact of Training Data Memorization and Knowledge Injection Semantic Web15(6), 2193–2207 (2024)

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:19:07.570479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation ab669f5f-754a-4b60-a56f-ec7a96a7687a · outbound

This paper cites Advances in neural information processing systems35, 24824–24837 (2022).

SPARQL Query Generation with LLMs: Measuring the Impact of Training Data Memorization and Knowledge Injection Advances in neural information processing systems35, 24824–24837 (2022)

Reference 27

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Source-reported events for the cited work

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Observation 5941a354-2305-4aef-86b9-0eeb47fe8a88 · outbound

This paper cites Qwen2.5 Technical Report.

SPARQL Query Generation with LLMs: Measuring the Impact of Training Data Memorization and Knowledge Injection Qwen2.5 Technical Report

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T16:19:03.370019Z

Source-reported events for the cited work

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Observation 6c95f652-585f-4660-b05c-b78b5e16cf96 · outbound

This paper cites Information12(7), 271 (2021).

SPARQL Query Generation with LLMs: Measuring the Impact of Training Data Memorization and Knowledge Injection Information12(7), 271 (2021)

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:19:07.097968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation ff30838d-95ae-482c-af71-c4fff4ef1638 · outbound

This paper cites SEMANTiCS (2024).

SPARQL Query Generation with LLMs: Measuring the Impact of Training Data Memorization and Knowledge Injection SEMANTiCS (2024)

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:19:06.732063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0a070904-d08d-422f-9a91-e48155f9a63f · outbound

This paper cites In: 31st Interna- tional Conference on Computational Linguistics.

SPARQL Query Generation with LLMs: Measuring the Impact of Training Data Memorization and Knowledge Injection In: 31st Interna- tional Conference on Computational Linguistics

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:19:06.342516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0fde46ea-8eac-4936-bc23-a19aa2d49174 · outbound

This paper cites Advances in Neural Information Processing Systems36(2024).

SPARQL Query Generation with LLMs: Measuring the Impact of Training Data Memorization and Knowledge Injection Advances in Neural Information Processing Systems36(2024)

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:19:05.938827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 9ef8f405-ef0c-4950-a14d-95a21b041b70 · outbound

This paper cites Conference on Empirical Methods in Natural Language Processing (2024).

SPARQL Query Generation with LLMs: Measuring the Impact of Training Data Memorization and Knowledge Injection Conference on Empirical Methods in Natural Language Processing (2024)

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:19:05.500200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Pith citing papers

No inbound Pith citation observations are available.