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Paper Citation Record · LEDGER

Specific Domain Ontology Construction Using Large Language Models

As of 11 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2606.20691.

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

pith.paper-citation-record.v1
2606.20691 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T03:26:15.805999Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

36 of 36 outbound references displayed

  • verified exact13
  • verified fuzzy0
  • unresolved20
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d0ba75b2-3f3a-4e4e-9591-470d1b10c442 · outbound

This paper cites Structure and Interpretation of Computer Programs.

Specific Domain Ontology Construction Using Large Language Models Structure and Interpretation of Computer Programs

Reference 1

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Observation 8c6ba088-ad86-4bc5-ab3a-6457438bb1db · outbound

This paper cites Visual Information Extraction with Lixto.

Specific Domain Ontology Construction Using Large Language Models Visual Information Extraction with Lixto

Reference 2

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Observation 2f0925ba-7bcc-4a9b-926e-dcce92e107ed · outbound

This paper cites Brachman and James G.

Specific Domain Ontology Construction Using Large Language Models Brachman and James G

Reference 3

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Observation b317d624-324e-4297-9bcb-ab7023f63f31 · outbound

This paper cites Complexity results for nonmonotonic logics.

Specific Domain Ontology Construction Using Large Language Models Complexity results for nonmonotonic logics

Reference 4

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Observation feff78cd-fb95-4feb-875e-343925ee2179 · outbound

This paper cites Hypertree Decompositions and Tractable Queries.

Specific Domain Ontology Construction Using Large Language Models Hypertree Decompositions and Tractable Queries

Reference 5

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Observation 65a50def-b8c3-44ec-905c-3b680cd4a798 · outbound

This paper cites Levesque.

Specific Domain Ontology Construction Using Large Language Models Levesque

Reference 6

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Observation a1d47c39-9322-496c-b8dd-a1c10acf02e6 · outbound

This paper cites Levesque.

Specific Domain Ontology Construction Using Large Language Models Levesque

Reference 7

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Observation bce98a37-a075-4e2e-889c-0c6a2fc301a1 · outbound

This paper cites On the compilability and expressive power of propositional planning formalisms.

Specific Domain Ontology Construction Using Large Language Models On the compilability and expressive power of propositional planning formalisms

Reference 8

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Observation b7fceaa3-21a1-4f10-b158-c401f65c752b · outbound

This paper cites Towards Ontology Construction with Language Models.

Specific Domain Ontology Construction Using Large Language Models Towards Ontology Construction with Language Models

Reference 9

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arxiv_id, observed 2026-06-27T03:30:26.545721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 7d83c07b-5dad-48ea-bdec-3ca283ab38d1 · outbound

This paper cites Neural Comput.

Specific Domain Ontology Construction Using Large Language Models Neural Comput

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 35392bf6-a462-4108-ae02-87738fb0cd18 · outbound

This paper cites Ligabue and Anarosa Alves Franco Brand.

Specific Domain Ontology Construction Using Large Language Models Ligabue and Anarosa Alves Franco Brand

Reference 11

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arxiv_id, observed 2026-06-27T03:30:26.551718Z

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Observation 0f11369d-132b-4330-99aa-139d43516e7c · outbound

This paper cites The BLue Amazon Brain (BLAB): A Modular Architecture of Services about the Brazilian Maritime Territory.

Specific Domain Ontology Construction Using Large Language Models The BLue Amazon Brain (BLAB): A Modular Architecture of Services about the Brazilian Maritime Territory

Reference 12

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Observation 7888bf43-a33f-42f2-9e93-bcc1fce3cb23 · outbound

This paper cites Evaluating GPT-3.5 and GPT-4 Models on Brazilian University Admission Exams.

Specific Domain Ontology Construction Using Large Language Models Evaluating GPT-3.5 and GPT-4 Models on Brazilian University Admission Exams

Reference 13

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arxiv_id, observed 2026-06-27T03:30:26.542937Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation f451607f-3301-470c-b5c4-d2f56466ada0 · outbound

This paper cites Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model.

Specific Domain Ontology Construction Using Large Language Models Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model

Reference 14

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local_arxiv, observed 2026-07-03T17:58:47.538594Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation d657e45f-b0ad-4eae-8fa5-a87f8f8b5b95 · outbound

This paper cites Code Llama: Open Foundation Models for Code.

Specific Domain Ontology Construction Using Large Language Models Code Llama: Open Foundation Models for Code

Reference 15

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 24a4ed0f-71ba-49df-88f5-9e37bab6aadd · outbound

This paper cites Language Models are Few-Shot Learners.

Specific Domain Ontology Construction Using Large Language Models Language Models are Few-Shot Learners

Reference 16

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation db20cf23-f260-4788-8b1d-4131c56bb24c · outbound

This paper cites Database J.

Specific Domain Ontology Construction Using Large Language Models Database J

Reference 17

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 44ee4c0e-6242-4487-819d-15855e975783 · outbound

This paper cites and Rula, Anisa and Schmelzeisen, Lukas and Sequeda, Juan and Staab, Steffen and Zimmermann, Antoine , year=.

Specific Domain Ontology Construction Using Large Language Models and Rula, Anisa and Schmelzeisen, Lukas and Sequeda, Juan and Staab, Steffen and Zimmermann, Antoine , year=

Reference 18

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doi, observed 2026-06-27T03:30:26.538319Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 214ffc2a-fc38-41f1-a738-375a35f4e82d · outbound

This paper cites Cafarella and Stephen Soderland and Matthew Broadhead and Oren Etzioni , editor =.

Specific Domain Ontology Construction Using Large Language Models Cafarella and Stephen Soderland and Matthew Broadhead and Oren Etzioni , editor =

Reference 19

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Observation d10d42b6-3979-4442-9f9d-fc44eadad55b · outbound

This paper cites Manning, M.

Specific Domain Ontology Construction Using Large Language Models Manning, M

Reference 20

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 1687a335-5274-4138-a159-cb3ffab73fc6 · outbound

This paper cites Schneider.

Specific Domain Ontology Construction Using Large Language Models Schneider

Reference 21

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Observation 54d21f99-70b6-44c9-8437-24411fca9741 · outbound

This paper cites Towards context-based knowledge graphs: a method based on word embeddings , note =.

Specific Domain Ontology Construction Using Large Language Models Towards context-based knowledge graphs: a method based on word embeddings , note =

Reference 22

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Observation ae616bd4-6f4a-47eb-9a34-9396ba547afb · outbound

This paper cites Ontology Development 101: A Guide to Creating Your First Ontology , volume =.

Specific Domain Ontology Construction Using Large Language Models Ontology Development 101: A Guide to Creating Your First Ontology , volume =

Reference 23

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Observation 2e8bbf1c-3971-487f-a62b-d7314b11eb19 · outbound

This paper cites Pir\'a: A Bilingual Portuguese-English Dataset for Question-Answering about the Ocean.

Specific Domain Ontology Construction Using Large Language Models Pir\'a: A Bilingual Portuguese-English Dataset for Question-Answering about the Ocean

Reference 24

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arxiv_id, observed 2026-07-03T17:58:47.541917Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation dfe87365-0d3d-4aa8-aed1-a007182a81ae · outbound

This paper cites Benchmarks for Pir\'a 2.0, a Reading Comprehension Dataset about the Ocean, the Brazilian Coast, and Climate Change.

Specific Domain Ontology Construction Using Large Language Models Benchmarks for Pir\'a 2.0, a Reading Comprehension Dataset about the Ocean, the Brazilian Coast, and Climate Change

Reference 25

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arxiv_id, observed 2026-07-03T17:58:47.544639Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 0fd38a80-1746-4fb7-979b-be01566c743b · outbound

This paper cites O cenário da avaliação de ontologias: revisão de literatura , volume =.

Specific Domain Ontology Construction Using Large Language Models O cenário da avaliação de ontologias: revisão de literatura , volume =

Reference 26

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Observation deedd7d8-7eb6-4a6a-bc89-c833f3b9896a · outbound

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Specific Domain Ontology Construction Using Large Language Models Unresolved cited work

Reference 27

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 0fec7e83-72ee-4dbd-b33d-f242bcdf49b1 · outbound

This paper cites an unresolved cited work.

Specific Domain Ontology Construction Using Large Language Models Unresolved cited work

Reference 28

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation a41c8795-fc60-4832-81a2-0a33e4284858 · outbound

This paper cites Conversational agents.

Specific Domain Ontology Construction Using Large Language Models Conversational agents

Reference 29

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Observation a8fe6357-bb8c-475d-b206-0fbb9538c9a7 · outbound

This paper cites Engineering, Technology & Applied Science Research , volume=.

Specific Domain Ontology Construction Using Large Language Models Engineering, Technology & Applied Science Research , volume=

Reference 30

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Observation f67f96d3-5649-4fe1-b482-e95d775cf2d1 · outbound

This paper cites an unresolved cited work.

Specific Domain Ontology Construction Using Large Language Models Unresolved cited work

Reference 31

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Observation e7ba72db-e528-4d03-bcfb-e0bc21c939fe · outbound

This paper cites 2024 , eprint=.

Specific Domain Ontology Construction Using Large Language Models 2024 , eprint=

Reference 32

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Observation 600ed821-fa78-4eda-96b9-183699508e4a · outbound

This paper cites Advances in neural information processing systems , volume=.

Specific Domain Ontology Construction Using Large Language Models Advances in neural information processing systems , volume=

Reference 33

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Observation 39bf2607-feb9-4a07-95b0-43d1181f7a23 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Specific Domain Ontology Construction Using Large Language Models BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 34

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local_arxiv, observed 2026-07-03T17:58:47.531878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 4e9b6d0b-ff53-49be-a674-2fc51593bdb1 · outbound

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Specific Domain Ontology Construction Using Large Language Models 2018 , publisher=

Reference 35

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Observation d15a2744-9521-4e92-9c2c-6ca14a483043 · outbound

This paper cites 2023 , eprint=.

Specific Domain Ontology Construction Using Large Language Models 2023 , eprint=

Reference 36

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Pith citing papers

No inbound Pith citation observations are available.