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Paper Citation Record · LEDGER

Learn2Zinc: Fine-tuning Small Language Models for Text-to-Model Translation in MiniZinc

As of 9 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2607.20456.

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

pith.paper-citation-record.v1
2607.20456 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T13:59:25.088249Z

measured 20 of 20 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

20 of 20 outbound references displayed

  • verified exact3
  • verified fuzzy0
  • unresolved17
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation df6bed4e-ca0a-4166-bcd3-eb4d86401e35 · outbound

This paper cites Tias Guns.

Learn2Zinc: Fine-tuning Small Language Models for Text-to-Model Translation in MiniZinc Tias Guns

Reference 5

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no resolver link, observed 2026-08-02T13:59:23.421812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:59:23.421812Z digest=sha256:3f7ccede20a25e28159c302993052652106c40d9c71aa3816346ff42a6280d46

Observation acf9cbab-e0db-4495-b343-f2129e8c0569 · outbound

This paper cites ORLM: A Customizable Framework in Training Large Models for Automated Optimization Modeling.

Learn2Zinc: Fine-tuning Small Language Models for Text-to-Model Translation in MiniZinc ORLM: A Customizable Framework in Training Large Models for Automated Optimization Modeling

Reference 6

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:59:23.552200Z digest=sha256:6833e147e3435f7ab2a8225674412af22242728483710efbf9524a3372404696

Observation abb0b81f-488b-4d7c-8978-83b6d7e367d0 · outbound

This paper cites Synthesizing mixed-integer linear programming models from natural language descriptions.

Learn2Zinc: Fine-tuning Small Language Models for Text-to-Model Translation in MiniZinc Synthesizing mixed-integer linear programming models from natural language descriptions

Reference 10

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:59:23.869763Z digest=sha256:ede5ba4d1000779ddf67ae18fccc0ee5a7d4172a166d730cd0cf850569fb919a

Observation 1bfc0dbf-da2c-424e-ad27-cc7752ef44e6 · outbound

This paper cites KostisMichailidis,DimosTsouros,andTiasGuns.ConstraintModellingwithLLMsUsingIn-ContextLearning.

Learn2Zinc: Fine-tuning Small Language Models for Text-to-Model Translation in MiniZinc KostisMichailidis,DimosTsouros,andTiasGuns.ConstraintModellingwithLLMsUsingIn-ContextLearning

Reference 11

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no resolver link, observed 2026-08-02T13:59:24.038180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:59:24.038180Z digest=sha256:76fac42c80b4e7c573030fa6be7d4188d61a4af13001ea9251f14ffa4405047d

Observation baec07a9-d3f8-40a6-ab91-6686c05e2dc8 · outbound

This paper cites Nicholas Nethercote, Peter J.

Learn2Zinc: Fine-tuning Small Language Models for Text-to-Model Translation in MiniZinc Nicholas Nethercote, Peter J

Reference 12

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:59:24.247304Z digest=sha256:38249a644235ee5910a2365f82b326268c63beacfd5701d8ef76064f58ec6558

Observation e965884d-5d17-4026-a631-82627011f763 · outbound

This paper cites GPT-4 Technical Report.

Learn2Zinc: Fine-tuning Small Language Models for Text-to-Model Translation in MiniZinc GPT-4 Technical Report

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-02T13:59:24.339168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:59:24.339168Z digest=sha256:0687051603af20f7286a85c8c8da56d7e2cb63c63dfd7b7d95e6f61a7eb337b6

Observation 5f691207-df24-4ea7-8cd1-777566e1b0f2 · outbound

This paper cites EsoLang-Bench: Evaluating Genuine Reasoning in Large Language Models via Esoteric Programming Languages.

Learn2Zinc: Fine-tuning Small Language Models for Text-to-Model Translation in MiniZinc EsoLang-Bench: Evaluating Genuine Reasoning in Large Language Models via Esoteric Programming Languages

Reference 15

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:59:24.515535Z digest=sha256:1c780c5f92c274e77ed309d4728831888212ed890fb9781452029d63d931f506

Observation e5d855a9-485d-421a-9804-11d035d7b392 · outbound

This paper cites Text2zinc: A cross-domain dataset for modeling optimizationandsatisfactionproblemsinminizinc,2025.

Learn2Zinc: Fine-tuning Small Language Models for Text-to-Model Translation in MiniZinc Text2zinc: A cross-domain dataset for modeling optimizationandsatisfactionproblemsinminizinc,2025

Reference 16

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no resolver link, observed 2026-08-02T13:59:24.709076Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:59:24.709076Z digest=sha256:9c114bdd7cff2606d8a4e3201824d9884fd8a04bad48708f3e469d8155f7f812

Observation fbc8c2fa-25fd-4dc4-a917-e9f4897f795f · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Learn2Zinc: Fine-tuning Small Language Models for Text-to-Model Translation in MiniZinc Gemini: A Family of Highly Capable Multimodal Models

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-02T13:59:24.810582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:59:24.810582Z digest=sha256:cde63719e2d8b5f83ed2d03387b5974f671f9fa2b71be3f0ff67bc764eef9d26

Observation 3c8d663b-757c-447f-b79b-0af4086e55f2 · outbound

This paper cites Ziyang Xiao, Dongxiang Zhang, Yangjun Wu, Lilin Xu, Yuan Jessica Wang, Xiongwei Han, Xiaojin Fu, Tao Zhong, Jia Zeng, Mingli Song, et al.

Learn2Zinc: Fine-tuning Small Language Models for Text-to-Model Translation in MiniZinc Ziyang Xiao, Dongxiang Zhang, Yangjun Wu, Lilin Xu, Yuan Jessica Wang, Xiongwei Han, Xiaojin Fu, Tao Zhong, Jia Zeng, Mingli Song, et al

Reference 18

Resolution
verified exact
doi, observed 2026-08-02T14:03:33.571090Z

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=2026-08-02T13:59:24.913395Z digest=sha256:f823bf9017dac1d02dc841ec19d1be5fbc2ef124f7f62b7a4b932f968270047a

Observation b068dcce-d134-459a-b447-293b1e7fbf5d · outbound

This paper cites Optimind: Teachingllmstothinklikeoptimizationexperts,2026.

Learn2Zinc: Fine-tuning Small Language Models for Text-to-Model Translation in MiniZinc Optimind: Teachingllmstothinklikeoptimizationexperts,2026

Reference 19

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no resolver link, observed 2026-08-02T13:59:24.975894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:59:24.975894Z digest=sha256:a5e409a997b04540e1ca593bfeb655451cd98174b9ee8194c702920445710cb4

Observation 91f47e1c-92e2-484c-9822-0a7e96e830f5 · outbound

This paper cites A","B","C.

Learn2Zinc: Fine-tuning Small Language Models for Text-to-Model Translation in MiniZinc A","B","C

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-02T13:59:25.088249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:59:25.088249Z digest=sha256:80dec5a2c2ee949a6750eef70ce9ad19037ce3b9118ef13128d3fa346b24eb09

Observation 698d31fa-df55-4c61-b0e7-972578ccd94e · outbound

This paper cites doi: 10.1007/978-1-4613-0215-5_8.

Learn2Zinc: Fine-tuning Small Language Models for Text-to-Model Translation in MiniZinc doi: 10.1007/978-1-4613-0215-5_8

Reference 2004

Resolution
verified exact
doi, observed 2026-08-02T14:03:33.858559Z

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=2026-08-02T13:59:23.130944Z digest=sha256:c5f3c6f572a4fbf063e23afe50e0c6c001a2a06714dbedc6619553808b6f3c35

Observation 1cb92683-6b3f-4479-8059-31aa2432dd64 · outbound

This paper cites Caigao Jiang, Xiang Shu, Hong Qian, Xingyu Lu, Jun Zhou, Aimin Zhou, and Yang Yu.

Learn2Zinc: Fine-tuning Small Language Models for Text-to-Model Translation in MiniZinc Caigao Jiang, Xiang Shu, Hong Qian, Xingyu Lu, Jun Zhou, Aimin Zhou, and Yang Yu

Reference 2020

Resolution
verified exact
doi, observed 2026-08-02T14:03:33.719417Z

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=2026-08-02T13:59:23.733983Z digest=sha256:3a904171cd6fb92d670b91ac03077413a9434805ec1a2a9d19a486e117334fd2

Observation a1932910-9a09-4935-a944-42c7892c9259 · outbound

This paper cites ElgunJabrayilzadeandSelmaTekir.LGPSolver–solvinglogicgridpuzzlesautomatically.InFindingsoftheAs- sociation for Computational Linguistics: EMNLP 2020, pp.

Learn2Zinc: Fine-tuning Small Language Models for Text-to-Model Translation in MiniZinc ElgunJabrayilzadeandSelmaTekir.LGPSolver–solvinglogicgridpuzzlesautomatically.InFindingsoftheAs- sociation for Computational Linguistics: EMNLP 2020, pp

Reference 2021

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:59:23.676365Z digest=sha256:a8ad9ed836e4d0313b24ef01d0530cbaa33617dcc35bedb670541f80b625b4db

Observation 9a9080fc-cb1e-45e3-85f9-fa3747443361 · outbound

This paper cites Augmenting Operations Research with Auto-Formulation of Optimization Models from Problem Descriptions.

Learn2Zinc: Fine-tuning Small Language Models for Text-to-Model Translation in MiniZinc Augmenting Operations Research with Auto-Formulation of Optimization Models from Problem Descriptions

Reference 2022

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Unavailable: canonical work link unavailable.

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Observation 511edfac-1240-4d7f-a3a9-9e75f622dddc · outbound

This paper cites DeepSeek-V3 Technical Report.

Learn2Zinc: Fine-tuning Small Language Models for Text-to-Model Translation in MiniZinc DeepSeek-V3 Technical Report

Reference 2023

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no resolver link, observed 2026-08-02T13:59:23.346252Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:59:23.346252Z digest=sha256:5b3edba7dddb79111526f3156a9e4b59e0a4e8532030cc9c8bc420bfc006fa12

Observation d68ccfff-1681-4e98-b9a5-60af83982ae2 · outbound

This paper cites OptiMUS-0.3: Using Large Language Models to Model and Solve Optimization Problems at Scale.

Learn2Zinc: Fine-tuning Small Language Models for Text-to-Model Translation in MiniZinc OptiMUS-0.3: Using Large Language Models to Model and Solve Optimization Problems at Scale

Reference 2024

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no resolver link, observed 2026-08-02T13:59:23.041674Z

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Unavailable: canonical work link unavailable.

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Observation 078b6193-be03-4034-b51b-6f0c819304fa · outbound

This paper cites 14 ParagPravinDakle,SerdarKadıoğlu,KarthikUppuluri,ReginaPoliti,PreethiRaghavan,SaiKrishnaRallabandi, and Ravisutha Srinivasamurthy.

Learn2Zinc: Fine-tuning Small Language Models for Text-to-Model Translation in MiniZinc 14 ParagPravinDakle,SerdarKadıoğlu,KarthikUppuluri,ReginaPoliti,PreethiRaghavan,SaiKrishnaRallabandi, and Ravisutha Srinivasamurthy

Reference 2025

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Unavailable: canonical work link unavailable.

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Observation 35f08910-7cf8-4f47-8b94-2de557bd66d9 · outbound

This paper cites Text2Model: Modeling Copilots for Text-to-Model Translation.

Learn2Zinc: Fine-tuning Small Language Models for Text-to-Model Translation in MiniZinc Text2Model: Modeling Copilots for Text-to-Model Translation

Reference 2026

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no resolver link, observed 2026-08-02T13:59:23.802281Z

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Pith citing papers

No inbound Pith citation observations are available.