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Paper Citation Record · LEDGER

Text2Cypher Across Languages: Evaluating and Finetuning LLMs

As of 9 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 2 inbound Pith citation observations for arXiv:2506.21445.

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

pith.paper-citation-record.v1
2506.21445 v2

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:28:18.452019Z

measured 46 of 46 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T04:46:56.654470Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T07:36:45.328457Z

Reference resolution

44 of 44 outbound references displayed

  • verified exact2
  • verified fuzzy18
  • unresolved19
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch5

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 60967c70-32f4-4f16-9174-a74246bb6409 · outbound

This paper cites ACM Computing Surveys (Csur) 54(4), 1–37 (2021).

Text2Cypher Across Languages: Evaluating and Finetuning LLMs ACM Computing Surveys (Csur) 54(4), 1–37 (2021)

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:28:24.583183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T22:28:15.147165Z digest=sha256:91d1051c187ad795c76e3126c26a24ddc883062628379c63aef56c55da9a5ce9

Observation c23f6a65-66e6-4bf3-8b91-ec5f54d0373a · outbound

This paper cites Emerging Science Journal 8(5), 2003–2022 (2024).

Text2Cypher Across Languages: Evaluating and Finetuning LLMs Emerging Science Journal 8(5), 2003–2022 (2024)

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-06T22:28:24.308333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T22:28:15.194150Z digest=sha256:103a386944c6bab7ae6de79e3e2793131d74357eef3fcd744fad4df2b3fb8266

Observation 2fea92f5-2004-448d-bd2a-85c3faba6d0a · outbound

This paper cites Why Not Transform Chat Large Language Models to Non-English?.

Text2Cypher Across Languages: Evaluating and Finetuning LLMs Why Not Transform Chat Large Language Models to Non-English?

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-08-06T22:28:20.484994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T22:28:15.271889Z digest=sha256:0a2b1cd2447b2a2495a3f86f62d16ecc262f8b47ac744a419b02c867b68a25ae

Observation d842614c-5c99-4730-bc1e-b5f1b5338dc5 · outbound

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

Text2Cypher Across Languages: Evaluating and Finetuning LLMs In: Proceedings of the Workshop on Generative AI and Knowledge Graphs (GenAIK), pp

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:28:24.114743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T22:28:15.356347Z digest=sha256:40eafa56ba679d8e34390980fa1826703c98f016c3000d1a2c06e8a738887c79

Observation 7f85be77-c6aa-4cff-86cc-55a4d1cd084f · outbound

This paper cites Lost in Translation: Large Language Models in Non-English Content Analysis.

Text2Cypher Across Languages: Evaluating and Finetuning LLMs Lost in Translation: Large Language Models in Non-English Content Analysis

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T22:28:15.425436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:28:15.425436Z digest=sha256:00b81855f6a1dfd76e986d044084ac128b68b946004439ddb3a1441658727d00

Observation f554f94f-e468-485c-8c9c-dbf5927c0a24 · outbound

This paper cites LLMs Beyond English: Scaling the Multilingual Capability of LLMs with Cross-Lingual Feedback.

Text2Cypher Across Languages: Evaluating and Finetuning LLMs LLMs Beyond English: Scaling the Multilingual Capability of LLMs with Cross-Lingual Feedback

Reference 6

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no resolver link, observed 2026-08-06T22:28:15.513831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:28:15.513831Z digest=sha256:aa9abaf0c3c0c77d7324522362b1e85ca17a16db1f883383b9039fe9ffa5035d

Observation e8941401-e0ac-4857-ba94-cd6fa535f4fd · outbound

This paper cites BigTranslate: Augmenting Large Language Models with Multilingual Translation Capability over 100 Languages.

Text2Cypher Across Languages: Evaluating and Finetuning LLMs BigTranslate: Augmenting Large Language Models with Multilingual Translation Capability over 100 Languages

Reference 7

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unresolved
no resolver link, observed 2026-08-06T22:28:15.584249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:28:15.584249Z digest=sha256:5f9cc6db91125adf984a7f2dd2cd4af34d37dae5316527ce65a5713295adfbfa

Observation ff83a1c7-1e72-4647-b431-9ee89ffb44e5 · outbound

This paper cites Extrapolating Large Language Models to Non-English by Aligning Languages.

Text2Cypher Across Languages: Evaluating and Finetuning LLMs Extrapolating Large Language Models to Non-English by Aligning Languages

Reference 8

Resolution
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no resolver link, observed 2026-08-06T22:28:15.666333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:28:15.666333Z digest=sha256:6ca13f2611861df97443955d8e2dcff46cffe38e657fd20709dfde99569742d9

Observation 26f6f25a-db01-4f53-b440-b101fa5bfde2 · outbound

This paper cites Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model.

Text2Cypher Across Languages: Evaluating and Finetuning LLMs Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T22:28:15.724242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:28:15.724242Z digest=sha256:911f1990aa90dcfe9e1436bf69700602406ca0105aa617fd6c0071e250f61ea4

Observation 0697d273-66f7-421d-995a-291b582db8e0 · outbound

This paper cites YAYI 2: Multilingual Open-Source Large Language Models.

Text2Cypher Across Languages: Evaluating and Finetuning LLMs YAYI 2: Multilingual Open-Source Large Language Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T22:28:15.803836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:28:15.803836Z digest=sha256:aa7f1248d5998dfe53e3fd0e083d47f3b99f7991b94587d1148837e7ce43b57c

Observation cf96891d-e445-465d-9e6c-c2a5e7f533bc · outbound

This paper cites Bactrian-X: Multilingual Replicable Instruction-Following Models with Low-Rank Adaptation.

Text2Cypher Across Languages: Evaluating and Finetuning LLMs Bactrian-X: Multilingual Replicable Instruction-Following Models with Low-Rank Adaptation

Reference 11

Resolution
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no resolver link, observed 2026-08-06T22:28:15.901614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:28:15.901614Z digest=sha256:463eafec5ce76c9108a3c6a61b13c9a64e5103c9a1019c16b24fabd5cee2820a

Observation 044a60ca-8786-4521-92db-f6a9ac95860f · outbound

This paper cites Okapi: Instruction-tuned Large Language Models in Multiple Languages with Reinforcement Learning from Human Feedback.

Text2Cypher Across Languages: Evaluating and Finetuning LLMs Okapi: Instruction-tuned Large Language Models in Multiple Languages with Reinforcement Learning from Human Feedback

Reference 12

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no resolver link, observed 2026-08-06T22:28:15.984713Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:28:15.984713Z digest=sha256:bfae6bc46fa70f47ee521a4c52b1bb61633b97d91582a02fa05f33ae2e89222c

Observation 5e9c82dd-03c9-4479-8719-f8c6acd4d78f · outbound

This paper cites Not All Languages Are Created Equal in LLMs: Improving Multilingual Capability by Cross-Lingual-Thought Prompting.

Text2Cypher Across Languages: Evaluating and Finetuning LLMs Not All Languages Are Created Equal in LLMs: Improving Multilingual Capability by Cross-Lingual-Thought Prompting

Reference 13

Resolution
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no resolver link, observed 2026-08-06T22:28:16.032774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:28:16.032774Z digest=sha256:4169354926998b72350996c804f688c2f183947400811c4ac65777d324140efe

Observation e86816a5-b2c2-46f3-bb9c-388bc8bb332d · outbound

This paper cites Do Multilingual Language Models Think Better in English?.

Text2Cypher Across Languages: Evaluating and Finetuning LLMs Do Multilingual Language Models Think Better in English?

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T22:28:16.114580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:28:16.114580Z digest=sha256:e39a39b7fbf52a895fbcd494795d71b650fdfd7b43357b629a2e102563a01eb1

Observation 11812c6d-09ce-4299-a4e3-0141ef1d65af · outbound

This paper cites LLaMA Beyond English: An Empirical Study on Language Capability Transfer.

Text2Cypher Across Languages: Evaluating and Finetuning LLMs LLaMA Beyond English: An Empirical Study on Language Capability Transfer

Reference 15

Resolution
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no resolver link, observed 2026-08-06T22:28:16.175717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:28:16.175717Z digest=sha256:4da03bd0a7f7819a9442a5a55ba27cea84bbc93acf69ae3348d33ecd66e8bb39

Observation ed24bef1-c53d-4554-a908-d41c8ec133ec · outbound

This paper cites MEXA: Multilingual Evaluation of English-Centric LLMs via Cross-Lingual Alignment.

Text2Cypher Across Languages: Evaluating and Finetuning LLMs MEXA: Multilingual Evaluation of English-Centric LLMs via Cross-Lingual Alignment

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T22:28:16.274718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:28:16.274718Z digest=sha256:c936d14cddd5526c17b90b18be7210b0195cdd89d5357aba369906906834be4c

Observation b2d28b33-859d-4179-9c84-d28e0488daf6 · outbound

This paper cites Beyond English-Centric LLMs: What Language Do Multilingual Language Models Think in?.

Text2Cypher Across Languages: Evaluating and Finetuning LLMs Beyond English-Centric LLMs: What Language Do Multilingual Language Models Think in?

Reference 17

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no resolver link, observed 2026-08-06T22:28:16.347805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:28:16.347805Z digest=sha256:ed1f662948a3e8740eb3fa40405205592630a29e795f7a32c011a64d6f5bf44d

Observation 839deaa6-6b11-4eb1-8ebc-53e496c089ad · outbound

This paper cites Do Multilingual LLMs Think In English?.

Text2Cypher Across Languages: Evaluating and Finetuning LLMs Do Multilingual LLMs Think In English?

Reference 18

Resolution
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no resolver link, observed 2026-08-06T22:28:16.437656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:28:16.437656Z digest=sha256:de311b63c3ae2fc80523d534e429a36627981173ba85d67b4fb159f5f206eb2f

Observation 217d13fa-9470-4ff1-ba77-619c35ec5d36 · outbound

This paper cites Layer Swapping for Zero-Shot Cross-Lingual Transfer in Large Language Models.

Text2Cypher Across Languages: Evaluating and Finetuning LLMs Layer Swapping for Zero-Shot Cross-Lingual Transfer in Large Language Models

Reference 19

Resolution
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no resolver link, observed 2026-08-06T22:28:16.533228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:28:16.533228Z digest=sha256:7b88257bc20430c752d1bfc591c8c3a8154cc8d1737019503343d45165d2dc8b

Observation 7f6889b5-7d61-45a9-abca-c05e5e03d84d · outbound

This paper cites Multilingual Prompts in LLM-Based Recommenders: Performance Across Languages.

Text2Cypher Across Languages: Evaluating and Finetuning LLMs Multilingual Prompts in LLM-Based Recommenders: Performance Across Languages

Reference 20

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T22:28:19.964388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T22:28:16.607162Z digest=sha256:a3f5b5060863dc30306e9129b25461d0191373d892b22edf7bc3acf800ee5d0a

Observation 549de2bd-ba37-419a-b953-cfbbf36b8946 · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence, vol.

Text2Cypher Across Languages: Evaluating and Finetuning LLMs In: Proceedings of the AAAI Conference on Artificial Intelligence, vol

Reference 21

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raw_fallback, observed 2026-08-06T22:28:23.923030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T22:28:16.664057Z digest=sha256:64c233d6ea1f3fbd86497646971b35eea1970466f828b0b5a9ff98316999d9cc

Observation 961954f2-cb78-4716-b875-c2883ad8a3f8 · outbound

This paper cites In: Intelligent Systems: 10th Brazilian Conference, BRACIS 2021, Virtual Event, November 29–December 3, 2021, Proceedings, Part II 10, pp.

Text2Cypher Across Languages: Evaluating and Finetuning LLMs In: Intelligent Systems: 10th Brazilian Conference, BRACIS 2021, Virtual Event, November 29–December 3, 2021, Proceedings, Part II 10, pp

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:28:23.731626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T22:28:16.771688Z digest=sha256:20b7bfa240c9702b00ba4cff06b2ae62a41745f0ff7fba8ad5dd138f92a182d4

Observation 30d02799-60f8-469f-8b12-24889f7d931b · outbound

This paper cites Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities.

Text2Cypher Across Languages: Evaluating and Finetuning LLMs Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities

Reference 23

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T22:28:19.800609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T22:28:16.842537Z digest=sha256:aada0ef6fac0a1da5d17d57146f1cfeb70d35c43c1338e82abeef4831de9da57

Observation 2a0d6948-d175-46b3-9d0a-b8ab49c72f91 · outbound

This paper cites Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task.

Text2Cypher Across Languages: Evaluating and Finetuning LLMs Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task

Reference 24

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no resolver link, observed 2026-08-06T22:28:16.928413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:28:16.928413Z digest=sha256:a0aefb081769fb08296a9aac9cc20dc13f1f98ccd20343db535f3f84e3735f1d

Observation b83354ea-302c-48b0-b80d-2a8778ff5601 · outbound

This paper cites A Pilot Study for Chinese SQL Semantic Parsing.

Text2Cypher Across Languages: Evaluating and Finetuning LLMs A Pilot Study for Chinese SQL Semantic Parsing

Reference 25

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metadata mismatch
local_arxiv, observed 2026-08-06T22:28:19.555545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T22:28:17.011579Z digest=sha256:63141f6330e959bf19c0a170473a4a242a11879f179123da395bc3d7179afb29

Observation 8d28ced0-5c24-4b0f-821e-ce5c84f86ed4 · outbound

This paper cites IEEE Access (2024).

Text2Cypher Across Languages: Evaluating and Finetuning LLMs IEEE Access (2024)

Reference 26

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verified fuzzy
raw_fallback, observed 2026-08-06T22:28:23.553759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T22:28:17.093961Z digest=sha256:52ee280b6246af4b26ff85e79be6d646010b898b586d8764744b628b42eebb75

Observation e3b7b183-31b5-466d-a688-6f944188ad13 · outbound

This paper cites In: Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, pp.

Text2Cypher Across Languages: Evaluating and Finetuning LLMs In: Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, pp

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:28:23.367832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T22:28:17.175711Z digest=sha256:0e56cf03f580ea2303ad43614064542bdd1ad80bb70763ef1ed26df7015db95c

Observation 61c32c2f-5c9c-4c1e-8951-251f3120bc93 · outbound

This paper cites StatBot.Swiss: Bilingual Open Data Exploration in Natural Language.

Text2Cypher Across Languages: Evaluating and Finetuning LLMs StatBot.Swiss: Bilingual Open Data Exploration in Natural Language

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-08-06T22:28:19.266755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T22:28:17.257159Z digest=sha256:198fe7fc2b5da600fdd5ae2aee1ed76fd163120138adb8734a0cff1a04d82b04

Observation 38d87c32-7c4c-4ba1-870b-3179c7393e2a · outbound

This paper cites In: Simp´ osio Brasileiro de Sistemas de Informa¸ c˜ ao (SBSI), pp.

Text2Cypher Across Languages: Evaluating and Finetuning LLMs In: Simp´ osio Brasileiro de Sistemas de Informa¸ c˜ ao (SBSI), pp

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:28:23.216498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T22:28:17.324222Z digest=sha256:60a75f76674cc03d18b689f710a9bca30eff1c5baa5365b317410166e19a3a39

Observation 6e3defcd-4883-4869-b5c5-f95d56eb8923 · outbound

This paper cites In: Findings of the Association for Computational Linguistics: EMNLP 2022, pp.

Text2Cypher Across Languages: Evaluating and Finetuning LLMs In: Findings of the Association for Computational Linguistics: EMNLP 2022, pp

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:28:23.088364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T22:28:17.389894Z digest=sha256:2208aaf655a05be3369837e6a7c311860f6f1c21da59f9f0277d5158d7fcbb9c

Observation 77b8df0f-ea8e-44a1-86fb-3639b7e524c9 · outbound

This paper cites Transactions of the Association for Computational Linguistics (2022).

Text2Cypher Across Languages: Evaluating and Finetuning LLMs Transactions of the Association for Computational Linguistics (2022)

Reference 31

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verified fuzzy
raw_fallback, observed 2026-08-06T22:28:22.872091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T22:28:17.474141Z digest=sha256:9e1d473e10692f056eb54296e732bc98b26564fddd8c95aceb50820b96b3a653

Observation ee8e1e4d-5ef8-483c-9961-361a5863b578 · outbound

This paper cites MST5 -- Multilingual Question Answering over Knowledge Graphs.

Text2Cypher Across Languages: Evaluating and Finetuning LLMs MST5 -- Multilingual Question Answering over Knowledge Graphs

Reference 32

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unresolved
no resolver link, observed 2026-08-06T22:28:17.561931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:28:17.561931Z digest=sha256:299e8c281cce67e533e9e3cee6cde49e4be602c13faaa520b978fe0e384996a5

Observation a709c2c6-39ef-4d8b-a0ed-2db3352d7981 · outbound

This paper cites Semantic Web 15(5), 2089–2124 (2024) Text2Cypher Across Languages: Evaluating and Finetuning LLMs 15.

Text2Cypher Across Languages: Evaluating and Finetuning LLMs Semantic Web 15(5), 2089–2124 (2024) Text2Cypher Across Languages: Evaluating and Finetuning LLMs 15

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:28:22.581614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T22:28:17.642433Z digest=sha256:cb6236963c3a017c3d597844e3db324c4a1ad98abb062177be067a4975f0fb35

Observation ea8845a1-5eba-4b36-b99d-838d79c1d59e · outbound

This paper cites https://text2sparql.aksw.org/.

Text2Cypher Across Languages: Evaluating and Finetuning LLMs https://text2sparql.aksw.org/

Reference 34

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verified fuzzy
raw_fallback, observed 2026-08-06T22:28:22.350055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T22:28:17.726024Z digest=sha256:5f42ba1b134f7c01506fc5f54e55ba2722b8da6791f2c42480e23906b83b36d1

Observation 185193e8-4fba-4def-8198-42620e87f736 · outbound

This paper cites Text2KG (2024).

Text2Cypher Across Languages: Evaluating and Finetuning LLMs Text2KG (2024)

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:28:22.098084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T22:28:17.792698Z digest=sha256:7ebbd587005837d80dcfdfc2583576ed11fd05e4a71ce172002ef3af07c52c1d

Observation c73e7da4-dc39-4d72-a249-46baa2307897 · outbound

This paper cites JAIT 15(10), 1157–1162 (2024).

Text2Cypher Across Languages: Evaluating and Finetuning LLMs JAIT 15(10), 1157–1162 (2024)

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:28:21.789402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T22:28:17.882241Z digest=sha256:7be9b2506c68781390bc674fb0f4391c250b07bd17cb174831282d62352ad64d

Observation 8c7d3f50-d67e-47ee-8960-2fe67dedd611 · outbound

This paper cites The State and Fate of Linguistic Diversity and Inclusion in the NLP World.

Text2Cypher Across Languages: Evaluating and Finetuning LLMs The State and Fate of Linguistic Diversity and Inclusion in the NLP World

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T22:28:17.943065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:28:17.943065Z digest=sha256:f9cc260f63903aabdbef1fd2f3ceb98e5465922e1e0e64492940a228c4dacb5e

Observation 2651cb7e-feca-4a55-9c61-1e4de331a294 · outbound

This paper cites Role of Language Relatedness in Multilingual Fine-tuning of Language Models: A Case Study in Indo-Aryan Languages.

Text2Cypher Across Languages: Evaluating and Finetuning LLMs Role of Language Relatedness in Multilingual Fine-tuning of Language Models: A Case Study in Indo-Aryan Languages

Reference 38

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T22:28:19.031568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T22:28:18.026181Z digest=sha256:530454f1f7df6f998d94dc89034a87eade4b4336bb1f6c9311fc47b2d2a6acbb

Observation d9b53986-d931-4055-b753-c42b86f6175b · outbound

This paper cites Setting Standards in Turkish NLP: TR-MMLU for Large Language Model Evaluation.

Text2Cypher Across Languages: Evaluating and Finetuning LLMs Setting Standards in Turkish NLP: TR-MMLU for Large Language Model Evaluation

Reference 39

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T22:28:18.739177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T22:28:18.094632Z digest=sha256:6044cc8b5ba316bfa2c30e1b6fd8916393ec11ffa779e7ab596f2f06ee9f2ece

Observation 4a08e4db-0020-4a44-a7bc-bc232ff467a5 · outbound

This paper cites In: Proceedings of the 2022 Conference of the North Amer- ican Chapter of the Association for Computational Linguistics: Human Language Technologies: System Demonstrations, pp.

Text2Cypher Across Languages: Evaluating and Finetuning LLMs In: Proceedings of the 2022 Conference of the North Amer- ican Chapter of the Association for Computational Linguistics: Human Language Technologies: System Demonstrations, pp

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:28:21.459919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T22:28:18.214700Z digest=sha256:55e6311604dc5d34d5131ff74f7734cf22299f95ff5d5a86b295efcc23c7c8e6

Observation 55f02de2-1b73-498a-82ad-92708a2e03d6 · outbound

This paper cites Natural and Engineering Sciences 5(3), 204–211 (2020).

Text2Cypher Across Languages: Evaluating and Finetuning LLMs Natural and Engineering Sciences 5(3), 204–211 (2020)

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:28:21.203894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T22:28:18.272848Z digest=sha256:832ba8f8fa49ae7e3e122ad2b518b7da2e9e4973066b2b0776271472fe0313e2

Observation 7c8941fc-e4dc-44f4-a59d-fe8749c1324f · outbound

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

Text2Cypher Across Languages: Evaluating and Finetuning LLMs In: Proceedings of the 31st International Conference on Computational Linguistics, pp

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:28:21.021546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T22:28:18.343419Z digest=sha256:270c51c244b7c6468b673920ca24107f60f949545610b56bfded2fbcd4ebc80f

Observation 0cb240ac-3a08-4798-b253-d8a7f3cdac24 · outbound

This paper cites CometKiwi: IST-Unbabel 2022 Submission for the Quality Estimation Shared Task.

Text2Cypher Across Languages: Evaluating and Finetuning LLMs CometKiwi: IST-Unbabel 2022 Submission for the Quality Estimation Shared Task

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T22:28:18.396716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:28:18.396716Z digest=sha256:e8615a77a776cbe33b94f64e8f55e06f690dda55b72a35e51277f9e3ed6a84a4

Observation 42c5c5b9-8470-4547-8528-4a5dc3c39307 · outbound

This paper cites https://huggingface.co/ evaluate-metric (2024).

Text2Cypher Across Languages: Evaluating and Finetuning LLMs https://huggingface.co/ evaluate-metric (2024)

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:28:20.752505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T22:28:18.452019Z digest=sha256:75e1d03a88f340887dc63a4d9fe4e06e43ba92d3c866aa061f99fdd6ebb913cb

Pith citing papers

Observation 4ef2a70b-3d57-4d0f-bd32-6ec0cc99012b · inbound

CYGNET: Cypher Gate for Neural Execution Triage and Cost Containment cites this paper.

CYGNET: Cypher Gate for Neural Execution Triage and Cost Containment Text2Cypher Across Languages: Evaluating and Finetuning LLMs

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-07-02T07:36:45.329915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T06:49:23.432383Z digest=sha256:506119a8afe61c2039634b69e084932655fb8745584f40d0126a94eb0a201816

Observation f67ebbcf-5d62-4259-b534-8c958f5c0179 · inbound

KG2Cypher: Data-Centric Pipeline for Building Enterprise Text-to-Cypher Systems cites this paper.

KG2Cypher: Data-Centric Pipeline for Building Enterprise Text-to-Cypher Systems Text2Cypher Across Languages: Evaluating and Finetuning LLMs

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-06-29T19:13:53.466852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T04:46:56.654470Z digest=sha256:e9026ce956f9f443ae73304b3ca25619263d536fdf6786a5a3bc73328387ac18