Paper Citation Record · LEDGER

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field

As of 15 August 2026, this Paper Citation Record lists 100 of 115 outbound references and 2 inbound Pith citation observations for arXiv:2412.08258.

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

pith.paper-citation-record.v1
2412.08258 v2

Coverage vector

measured 100 of 115 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T18:05:58.982877Z

measured 102 of 102 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:33:47.975760Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T14:06:02.946733Z

Reference resolution

100 of 115 outbound references displayed

verified exact3
verified fuzzy19
unresolved74
parse uncertain0
malformed identifier3
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b569009c-0e75-4a96-8317-142b1b9f3f95 · outbound

This paper cites Salatino, T.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Salatino, T

Reference 1

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Source-reported events for the cited work

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Observation 9b008872-8bb9-4cf9-a9ec-e2bb63c9b065 · outbound

This paper cites Dunne, K.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Dunne, K

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T18:05:58.420811Z

Source-reported events for the cited work

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Observation e8323a3c-306a-4540-b1fc-28417dea5735 · outbound

This paper cites an unresolved cited work.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T18:05:58.426525Z

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Observation 03e3fc5a-367f-468d-a96a-3d0d4f9f3d75 · outbound

This paper cites Rous, Major update to acm’s computing classification system, Communications of the ACM 55 (11) (2012) 12–12.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Rous, Major update to acm’s computing classification system, Communications of the ACM 55 (11) (2012) 12–12

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T18:05:58.431940Z

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Observation b059d58e-b7b7-4852-b7de-97b2af28fbd2 · outbound

This paper cites Osborne, E.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Osborne, E

Reference 5

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Observation f50c2a58-3be6-4b27-b0ae-462681c83208 · outbound

This paper cites an unresolved cited work.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T18:05:58.443351Z

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Observation f9cc77e0-090a-48df-a208-f7a0861ec6c0 · outbound

This paper cites Gusenbauer, N.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Gusenbauer, N

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T18:05:58.449759Z

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Observation 922d0dde-3a30-4cc9-b840-beba0c83ae64 · outbound

This paper cites Meloni, S.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Meloni, S

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T18:05:58.454768Z

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Observation 071ef383-ffce-4bc7-9ad8-cec69d74cd13 · outbound

This paper cites Angioni, A.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Angioni, A

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T18:05:58.460271Z

Source-reported events for the cited work

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Observation 40460ca2-a7a5-4f54-a80e-3f55fcabe202 · outbound

This paper cites Osborne, E.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Osborne, E

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T18:05:58.465580Z

Source-reported events for the cited work

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Observation f1ef40a3-d297-4fc4-98f9-0d3e570a8f34 · outbound

This paper cites Wang, A.-L.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Wang, A.-L

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T18:05:58.470912Z

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Observation 1acca4ab-25cf-4619-9465-81f63244fa77 · outbound

This paper cites Bornmann, R.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Bornmann, R

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T18:05:58.475963Z

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Observation 1ca3157e-1dc2-4a32-aea7-706b64c2d849 · outbound

This paper cites Sanderson, B.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Sanderson, B

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T18:05:58.481246Z

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Observation 30e2fcf3-49d5-4403-9d9b-6b6b7eba59cc · outbound

This paper cites Osborne, E.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Osborne, E

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T18:05:58.486042Z

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Observation a02708ff-8fd0-47ff-aec1-55e18d06e097 · outbound

This paper cites an unresolved cited work.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Unresolved cited work

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T18:05:58.491367Z

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Observation 499f5c54-98c3-4aa5-b4e1-f38181917c91 · outbound

This paper cites an unresolved cited work.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T18:05:58.496345Z

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Observation 302a9f21-c84e-4a5d-b4f1-bb5fc0ef5377 · outbound

This paper cites an unresolved cited work.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T18:05:58.501193Z

Source-reported events for the cited work

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Observation 37a341ad-3588-41bc-828f-b7031c9bd882 · outbound

This paper cites Large Language Models are Zero-Shot Reasoners.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Large Language Models are Zero-Shot Reasoners

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T18:05:58.505966Z

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Observation 5925640a-b2ce-4fde-9590-223a5193c793 · outbound

This paper cites an unresolved cited work.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T18:05:58.511720Z

Source-reported events for the cited work

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Observation 9fdac2cb-5e2f-471c-8192-8f8949055541 · outbound

This paper cites Hedden, Taxonomies and controlled vocabularies best practices for metadata, Journal of Digital Asset Man- agement 6 (2010) 279–284.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Hedden, Taxonomies and controlled vocabularies best practices for metadata, Journal of Digital Asset Man- agement 6 (2010) 279–284

Reference 20

Resolution: verified exact; doi, observed 2026-08-11T18:05:59.212181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5f4f8b83-575e-44df-aaab-f4a9bc95c95c · outbound

This paper cites Zaharee, Building controlled vocabularies for metadata harmonization, Bulletin of the American Society for Information Science and Technology 39 (2) (2013) 39–42.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Zaharee, Building controlled vocabularies for metadata harmonization, Bulletin of the American Society for Information Science and Technology 39 (2) (2013) 39–42

Reference 21

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Source-reported events for the cited work

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Observation e67efe92-d834-44ed-86d4-9aa41e00c8ad · outbound

This paper cites an unresolved cited work.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Unresolved cited work

Reference 22

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Observation 4c6a484e-0395-4b59-aee4-02066fdf75cb · outbound

This paper cites thesauri and interoperability with othervocabularies.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field thesauri and interoperability with othervocabularies

Reference 23

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Observation 82181143-ca15-4202-aafb-c18ba9a2c24b · outbound

This paper cites an unresolved cited work.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Unresolved cited work

Reference 24

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Observation 6fcea1bf-e3fc-459d-b5ae-575a24e74f86 · outbound

This paper cites an unresolved cited work.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Unresolved cited work

Reference 25

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Observation c9c88de5-8efc-4f3f-bf7a-316cb133e9af · outbound

This paper cites an unresolved cited work.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Unresolved cited work

Reference 26

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Source-reported events for the cited work

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Observation 2e8ed72f-ff8a-49a9-bdfb-518eb23b369c · outbound

This paper cites an unresolved cited work.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Unresolved cited work

Reference 27

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Observation 0006e5c3-9475-4caa-924f-61751bb31524 · outbound

This paper cites an unresolved cited work.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Unresolved cited work

Reference 28

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Observation 10e28598-3cba-4f00-af99-2b81b15274c2 · outbound

This paper cites an unresolved cited work.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Unresolved cited work

Reference 29

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Observation c845c6db-a2c7-4365-b215-2e897ac06904 · outbound

This paper cites F ¨arber, D.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field F ¨arber, D

Reference 30

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Observation a669e38d-ba01-462c-b446-a35b69950f6a · outbound

This paper cites an unresolved cited work.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Unresolved cited work

Reference 31

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Observation 40382d3f-cca9-4b3c-a201-fb35e1fc46d2 · outbound

This paper cites Dess ´ı, F.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Dess ´ı, F

Reference 32

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Observation 3ccb6617-3f4a-4167-8392-51ba057c8dbc · outbound

This paper cites an unresolved cited work.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Unresolved cited work

Reference 33

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Observation 5fbe96ad-adaf-4926-897b-8b23724baf58 · outbound

This paper cites Maedche, S.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Maedche, S

Reference 34

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Observation a571093c-1a01-4a48-9ec9-931f99310041 · outbound

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Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Cimiano, J

Reference 35

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Observation dd6ff039-75e6-4594-ae53-677a8f1af4a2 · outbound

This paper cites Navigli, P.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Navigli, P

Reference 36

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Observation 80d56b56-7c7c-44d1-a498-992b24991b6f · outbound

This paper cites Velardi, S.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Velardi, S

Reference 37

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Observation 72dd0548-7258-40b5-af9a-972dca48e4f5 · outbound

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

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 38

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Observation bd4613f2-d09b-4068-99bf-024317b88187 · outbound

This paper cites BERTopic: Neural topic modeling with a class-based TF-IDF procedure.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field BERTopic: Neural topic modeling with a class-based TF-IDF procedure

Reference 39

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Observation cc61dbe2-8a47-48b4-aabd-ae9b024f5e8a · outbound

This paper cites Inferring Concept Hierarchies from Text Corpora via Hyperbolic Embeddings.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Inferring Concept Hierarchies from Text Corpora via Hyperbolic Embeddings

Reference 40

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Observation 6d2a0b94-17f8-4086-b8f7-a3e5d72d7e81 · outbound

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Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Constructing Taxonomies from Pretrained Language Models

Reference 41

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Observation 0164a834-7a50-4dc5-8c5f-420bec4a3b12 · outbound

This paper cites Canito, J.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Canito, J

Reference 42

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Observation 16ed0b03-80b9-438d-911d-93a74c5a4b84 · outbound

This paper cites Osborne, E.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Osborne, E

Reference 43

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Observation 9e27047b-2e64-4b65-8383-7f652910c31b · outbound

This paper cites Babaei Giglou, J.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Babaei Giglou, J

Reference 44

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Observation 10493231-9ba7-49f7-83cd-9df269f57ca7 · outbound

This paper cites an unresolved cited work.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Unresolved cited work

Reference 45

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Observation 4e8b748f-c92a-4f86-9eaf-95cde1c04815 · outbound

This paper cites From human experts to machines: An LLM supported approach to ontology and knowledge graph construction.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field From human experts to machines: An LLM supported approach to ontology and knowledge graph construction

Reference 46

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Observation 6d0f4d60-45ae-49c6-980a-fa7c5b5b4c8a · outbound

This paper cites Zhang, V.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Zhang, V

Reference 47

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Observation 3db7b882-dfe7-4bc8-9b2d-3c7562eda753 · outbound

This paper cites Are Large Language Models a Good Replacement of Taxonomies?.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Are Large Language Models a Good Replacement of Taxonomies?

Reference 48

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Observation ae6e178c-f57e-45ea-84bd-61873bb1ddaf · outbound

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Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field A Web-scale system for scientific knowledge exploration

Reference 49

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Observation c20cc604-e552-4033-ad04-621f2074c488 · outbound

This paper cites Cadeddu, A.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Cadeddu, A

Reference 50

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Observation 91b500da-3b76-4bff-b550-063aa17a1ce3 · outbound

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Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Unresolved cited work

Reference 51

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Observation bd3e5908-4e73-4663-b1fb-d0695b7c8c12 · outbound

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Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Bolanos, A

Reference 52

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Observation ca9a653f-32dd-45c4-abea-1dae10834caa · outbound

This paper cites Buscaldi, D.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Buscaldi, D

Reference 53

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Observation 61a2cc72-afae-4deb-b5c5-efc7b6099d23 · outbound

This paper cites Brody, Scite, Journal of the Medical Library Association: JMLA 109 (4) (2021) 707.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Brody, Scite, Journal of the Medical Library Association: JMLA 109 (4) (2021) 707

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:06:01.510394Z

Source-reported events for the cited work

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Observation e1561384-2dd5-4ac6-98dc-d8a0463d3b21 · outbound

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Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Smith, Physics subject headings (physh), KO KNOWLEDGE ORGANIZATION 47 (3) (2020) 257–266

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:06:01.492896Z

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Observation 26abc41e-70df-4052-84dc-23644befe941 · outbound

This paper cites doi:10.3789/ansi.niso.z39.4-2021.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field doi:10.3789/ansi.niso.z39.4-2021

Reference 56

Resolution: verified exact; doi, observed 2026-08-11T18:05:59.156592Z

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Observation 0f9fc17f-c32a-4c18-9222-892635c3a734 · outbound

This paper cites Mistral 7B.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Mistral 7B

Reference 57

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Observation c19675de-4b5b-491e-befb-b0df8db95204 · outbound

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Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Mixtral of Experts

Reference 58

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Observation ddacfe25-9be9-452a-98b9-34b7b6e64968 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 59

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Observation a5b9d4ed-7fd6-44c0-b75b-86430ad5dafe · outbound

This paper cites Orca: Progressive Learning from Complex Explanation Traces of GPT-4.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Orca: Progressive Learning from Complex Explanation Traces of GPT-4

Reference 60

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Observation a43859d6-d84c-4f79-b5df-584dc97d414c · outbound

This paper cites The Truth is in There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field The Truth is in There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction

Reference 61

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Observation abe52f78-8394-4cc8-b7e6-d925ef7885d9 · outbound

This paper cites Yadav, D.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Yadav, D

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:06:01.472338Z

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Observation 014c0f5f-429a-4f3d-a01f-1bd12c226b73 · outbound

This paper cites OpenChat: Advancing Open-source Language Models with Mixed-Quality Data.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field OpenChat: Advancing Open-source Language Models with Mixed-Quality Data

Reference 63

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This paper cites de Bruin, J.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field de Bruin, J

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:06:01.447167Z

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Observation 7ca7ad14-e688-4a8a-a284-b03b5c3c6ea7 · outbound

This paper cites SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Reference 65

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Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Unresolved cited work

Reference 66

Resolution: unresolved; raw_fallback, observed 2026-08-11T18:06:01.427181Z

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Observation 04398b2c-8c6d-481a-bd02-4058199d3b57 · outbound

This paper cites The Flan Collection: Designing Data and Methods for Effective Instruction Tuning.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field The Flan Collection: Designing Data and Methods for Effective Instruction Tuning

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-11T18:05:58.783674Z

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This paper cites Advancing LLM Reasoning Generalists with Preference Trees.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Advancing LLM Reasoning Generalists with Preference Trees

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-11T18:05:58.788948Z

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Observation fbf52ddc-77a1-436f-a65e-68f71c5ade65 · outbound

This paper cites URL https://github.com/meta-llama/llama3/blob/main/MODEL_CARD.md.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field URL https://github.com/meta-llama/llama3/blob/main/MODEL_CARD.md

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:06:01.409018Z

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Observation 74fa3cbc-b942-428c-a3bd-21470d004408 · outbound

This paper cites Orca 2: Teaching Small Language Models How to Reason.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Orca 2: Teaching Small Language Models How to Reason

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-11T18:05:58.801918Z

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Observation ac3fbdce-6bc9-4a5b-a253-6bcbf5adbec9 · outbound

This paper cites A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-11T18:05:58.808125Z

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Observation 9ce24e31-777e-4035-99cd-80cd2296ccc4 · outbound

This paper cites GPT-4 Technical Report.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field GPT-4 Technical Report

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-11T18:05:58.813630Z

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Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Unresolved cited work

Reference 73

Resolution: unresolved; raw_fallback, observed 2026-08-11T18:06:01.389568Z

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Observation 83b30386-2bb9-488b-8f01-23316b614422 · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-11T18:05:58.824435Z

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Observation 3c6f8981-eeba-4460-b319-b1da93c27061 · outbound

This paper cites Kojima, S.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Kojima, S

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:06:01.371702Z

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Observation df326fa5-1d08-4897-bc61-c4257012e3a5 · outbound

This paper cites Aligning with Logic: Measuring, Evaluating and Improving Logical Preference Consistency in Large Language Models.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Aligning with Logic: Measuring, Evaluating and Improving Logical Preference Consistency in Large Language Models

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-11T18:05:58.835804Z

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Observation 2424d304-a68f-484f-99ff-465dc33ad641 · outbound

This paper cites Zhang, L.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Zhang, L

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-11T18:05:58.841201Z

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Observation 73d02331-393c-4da1-9aa2-e6390743ebd1 · outbound

This paper cites Bubeck, V.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Bubeck, V

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-11T18:05:58.846186Z

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This paper cites A Survey of Large Language Models.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field A Survey of Large Language Models

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-11T18:05:58.851536Z

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Observation 2fd3ad3e-f62e-417b-8dd8-fba347f244ae · outbound

This paper cites Kandpal, E.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Kandpal, E

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:06:01.330376Z

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Observation 5aea8e12-7167-4a15-ad5c-d97242f4832c · outbound

This paper cites Pushing Mixture of Experts to the Limit: Extremely Parameter Efficient MoE for Instruction Tuning.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Pushing Mixture of Experts to the Limit: Extremely Parameter Efficient MoE for Instruction Tuning

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-11T18:05:58.861654Z

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Observation bfcde187-52a1-421d-8c32-87c1c1b9e5aa · outbound

This paper cites Rafailov, A.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Rafailov, A

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:06:01.313518Z

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Observation f387917e-7894-4171-ae4a-ffa8b3173ce3 · outbound

This paper cites Self-Verification Improves Few-Shot Clinical Information Extraction.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Self-Verification Improves Few-Shot Clinical Information Extraction

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-11T18:05:58.873297Z

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This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-11T18:05:58.879398Z

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This paper cites Mind Your Step (by Step): Chain-of-Thought can Reduce Performance on Tasks where Thinking Makes Humans Worse.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Mind Your Step (by Step): Chain-of-Thought can Reduce Performance on Tasks where Thinking Makes Humans Worse

Reference 85

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Observation ac991c25-4e72-4a0a-92cf-7e1ffe76d5e1 · outbound

This paper cites Dettmers, M.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Dettmers, M

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:06:01.295533Z

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Observation c9445b14-defa-4f17-a89f-2666421d803c · outbound

This paper cites Frantar, S.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Frantar, S

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:06:01.275925Z

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Observation a8285724-7ecd-4513-92a7-7f40dc716e95 · outbound

This paper cites Chang, X.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Chang, X

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:06:01.254257Z

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Observation 9556776d-0f4f-45ec-aaf7-eeed87d4d44b · outbound

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Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Unresolved cited work

Reference 89

Resolution: unresolved; raw_fallback, observed 2026-08-11T18:06:01.235009Z

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Observation 09df8b38-6065-4ff6-9f89-8c7601af13b1 · outbound

This paper cites Zheng, W.-L.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Zheng, W.-L

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:06:01.213992Z

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Observation 92e8bf38-6790-4391-8c8b-7058a2322dd2 · outbound

This paper cites SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-11T18:05:58.920211Z

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Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Unresolved cited work

Reference 92

Resolution: unresolved; raw_fallback, observed 2026-08-11T18:06:01.195209Z

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Observation ac357280-c94c-4977-98e9-2200c2e71960 · outbound

This paper cites 3759, CEUR, 2024.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field 3759, CEUR, 2024

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:06:01.176563Z

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Observation 09432cd1-888d-4756-a362-c779709f6b43 · outbound

This paper cites Tsaneva, D.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Tsaneva, D

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:06:01.156341Z

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Observation f1db989d-b72e-4099-996f-5ab6684e0cfa · outbound

This paper cites Nenov, R.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Nenov, R

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:06:01.137010Z

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Observation 235d9406-6ea4-4d7b-927e-51c4e17aa0ab · outbound

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Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Unresolved cited work

Reference 96

Resolution: unresolved; raw_fallback, observed 2026-08-11T18:06:01.119955Z

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Observation c0bd5edc-b21c-4ce3-a1f5-b3863b1be27f · outbound

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Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Unresolved cited work

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-11T18:05:58.954313Z

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Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field Templeton, T

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:06:01.101508Z

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Observation c1ca301e-c677-4ba2-ba96-db0de8e440a1 · outbound

This paper cites ,→ ,→ ,→.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field ,→ ,→ ,→

Reference 101

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:06:01.046993Z

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Observation b148f5a2-8303-484f-a3cb-5461440ad3f9 · outbound

This paper cites ,→ ,→ Given the previous definitions, determine which one of the following statements is correct:,→.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field ,→ ,→ Given the previous definitions, determine which one of the following statements is correct:,→

Reference 102

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:06:01.029617Z

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Pith citing papers

Observation 0932b514-b1dc-4df4-9b39-db3eee34c9e9 · inbound

Agentic Retrieval of Topics and Insights from Earnings Calls cites this paper.

Agentic Retrieval of Topics and Insights from Earnings Calls Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T18:33:47.975760Z

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Observation 4da5f6ae-4fe4-443d-8e3a-3a99f9f7c338 · inbound

Automatic Ontology Construction Using LLMs as an External Layer of Memory, Verification, and Planning for Hybrid Intelligent Systems cites this paper.

Automatic Ontology Construction Using LLMs as an External Layer of Memory, Verification, and Planning for Hybrid Intelligent Systems Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field

Reference 15

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.