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Paper Citation Record · LEDGER

A Generative AI-driven Metadata Modelling Approach

As of 13 August 2026, this Paper Citation Record lists 100 of 104 outbound references and 0 inbound Pith citation observations for arXiv:2501.04008.

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

pith.paper-citation-record.v1
2501.04008 v2

Coverage vector

measured 100 of 104 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T16:32:07.930366Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

100 of 104 outbound references displayed

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  • verified fuzzy74
  • unresolved26
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 63dbc5cc-7eed-40d2-81f6-3b2260017a21 · outbound

This paper cites an unresolved cited work.

A Generative AI-driven Metadata Modelling Approach Unresolved cited work

Reference 1

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Observation f7eab7e8-f9c1-45aa-a2c2-40c081d213be · outbound

This paper cites an unresolved cited work.

A Generative AI-driven Metadata Modelling Approach Unresolved cited work

Reference 2

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Observation af36e10f-7e2f-48dd-83b7-61cb03b4b5b0 · outbound

This paper cites an unresolved cited work.

A Generative AI-driven Metadata Modelling Approach Unresolved cited work

Reference 3

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Observation 87e1802a-e698-4fa4-a2d9-8575a7121b11 · outbound

This paper cites an unresolved cited work.

A Generative AI-driven Metadata Modelling Approach Unresolved cited work

Reference 4

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Observation 8f75a518-48c4-4043-86b1-3e4dbea4ccce · outbound

This paper cites In order to exemplify the stratification above, the same motivating example of the ontology-driven library metadata model for cancer domain is employed (pages 8-43).

A Generative AI-driven Metadata Modelling Approach In order to exemplify the stratification above, the same motivating example of the ontology-driven library metadata model for cancer domain is employed (pages 8-43)

Reference 5

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Observation 74a54eab-b45f-4f02-893f-0859296114a0 · outbound

This paper cites an unresolved cited work.

A Generative AI-driven Metadata Modelling Approach Unresolved cited work

Reference 6

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Observation 1844fdb7-719f-44ae-8504-99aa8742e771 · outbound

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A Generative AI-driven Metadata Modelling Approach Unresolved cited work

Reference 7

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This paper cites an unresolved cited work.

A Generative AI-driven Metadata Modelling Approach Unresolved cited work

Reference 8

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Observation a11bdac8-db12-406a-8df4-537245d319cf · outbound

This paper cites an unresolved cited work.

A Generative AI-driven Metadata Modelling Approach Unresolved cited work

Reference 9

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Observation ddd92789-03cc-4eb0-8f2a-8e27220e56e9 · outbound

This paper cites the non-trivial process of identifying valid, novel, potentially useful and ultimately understandable patterns or knowledge in data.

A Generative AI-driven Metadata Modelling Approach the non-trivial process of identifying valid, novel, potentially useful and ultimately understandable patterns or knowledge in data

Reference 10

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Observation 7c963ebf-4987-4789-80f4-f8ac05adc414 · outbound

This paper cites Function, role, and disposition in basic formal ontology.

A Generative AI-driven Metadata Modelling Approach Function, role, and disposition in basic formal ontology

Reference 11

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Observation fe8a5cb3-4d7e-4699-a5f7-2891051e1236 · outbound

This paper cites Open science for an open future.

A Generative AI-driven Metadata Modelling Approach Open science for an open future

Reference 12

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Observation 0f49dce7-6262-46c9-b5d4-b35b86b2a3ef · outbound

This paper cites A knowledge architecture using knowledge graphs.

A Generative AI-driven Metadata Modelling Approach A knowledge architecture using knowledge graphs

Reference 13

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Observation fa141c59-380e-437a-9d76-ffff1c9684a6 · outbound

This paper cites Smart Cities, Smart Libraries and Smart Knowledge Managers: Ushering in the neo-Knowledge Society.

A Generative AI-driven Metadata Modelling Approach Smart Cities, Smart Libraries and Smart Knowledge Managers: Ushering in the neo-Knowledge Society

Reference 14

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Observation 0a7c2a91-81ad-4464-8bb7-97daf02f2308 · outbound

This paper cites Domain visualization using knowledge cartography in the big data era: A knowledge graph based alternative.

A Generative AI-driven Metadata Modelling Approach Domain visualization using knowledge cartography in the big data era: A knowledge graph based alternative

Reference 15

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Observation f9e38b8b-9edc-4dee-947d-7fd1c7715e7b · outbound

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A Generative AI-driven Metadata Modelling Approach Conceptualising a Library Chatbot using Open Source Conversational Artificial Intelligence

Reference 16

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Observation 048eb9a5-fc33-4e55-90f2-f374a512083a · outbound

This paper cites A large scale, knowledge intensive domain development methodology.

A Generative AI-driven Metadata Modelling Approach A large scale, knowledge intensive domain development methodology

Reference 17

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Observation 68b6b298-b424-4c8a-a9ff-a18217fdad2c · outbound

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A Generative AI-driven Metadata Modelling Approach Towards knowledge organization ecosystem (KOE)

Reference 18

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Observation a7b71990-d078-43d0-bf4c-d6c36f11cdf3 · outbound

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A Generative AI-driven Metadata Modelling Approach A Diversity-Aware Domain Development Methodology

Reference 19

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Observation 57e8df50-3576-4508-a441-36c6d2c6e3e0 · outbound

This paper cites Conceptually Disentangled Classificatory Ontologies.

A Generative AI-driven Metadata Modelling Approach Conceptually Disentangled Classificatory Ontologies

Reference 20

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Observation de968db8-46d5-4ef4-b2ce-efc7747341b3 · outbound

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A Generative AI-driven Metadata Modelling Approach Disentangling Domain Ontologies

Reference 21

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A Generative AI-driven Metadata Modelling Approach Generative artificial intelligence

Reference 22

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A Generative AI-driven Metadata Modelling Approach Ontology-driven semantic mapping

Reference 23

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A Generative AI-driven Metadata Modelling Approach Looking for lexical gaps

Reference 24

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A Generative AI-driven Metadata Modelling Approach Ontologies as knowledge organization systems

Reference 25

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Observation 742302bf-9a01-4c7a-afd9-7e95f40f794b · outbound

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A Generative AI-driven Metadata Modelling Approach Ontology and semantic interoperability

Reference 26

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Observation a59d47e1-58b1-413d-83a2-486d28e4e079 · outbound

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A Generative AI-driven Metadata Modelling Approach What are digital libraries? Competing visions

Reference 27

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A Generative AI-driven Metadata Modelling Approach How language shapes thought

Reference 28

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Observation 66a36ff4-dc9e-4708-a04e-e50510a6398c · outbound

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A Generative AI-driven Metadata Modelling Approach A study in language and cognition

Reference 29

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A Generative AI-driven Metadata Modelling Approach The landscape of ontology reuse approaches

Reference 30

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A Generative AI-driven Metadata Modelling Approach A survey on evaluation of large language models

Reference 31

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A Generative AI-driven Metadata Modelling Approach The False Promise of ChatGPT/New York Times

Reference 32

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A Generative AI-driven Metadata Modelling Approach What are communities of practice? A comparative review of four seminal works

Reference 33

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A Generative AI-driven Metadata Modelling Approach The impact of AI, machine learning, automation and robotics on the information professions: a report for CILIP

Reference 34

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A Generative AI-driven Metadata Modelling Approach The intelligent library: Thought leaders’ views on the likely impact of artificial intelligence on academic libraries

Reference 35

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A Generative AI-driven Metadata Modelling Approach FRBR, twenty years on

Reference 36

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A Generative AI-driven Metadata Modelling Approach Pawar, eds

Reference 37

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A Generative AI-driven Metadata Modelling Approach Do nondomain experts enlist the strategies of domain experts?

Reference 38

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Observation 98e65bf9-cee8-4eca-84a1-9f2c986329d1 · outbound

This paper cites Initiatives to make standard library metadata models and structures available to the Semantic Web.

A Generative AI-driven Metadata Modelling Approach Initiatives to make standard library metadata models and structures available to the Semantic Web

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:32:08.691946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T16:32:07.713304Z digest=sha256:0a111f98e1142e44c718a9f614c4a73d585115b446a1b3c7d4c1f167f6338c12

Observation 06c7cdc5-c161-4eb9-bce8-0de1aafe5edc · outbound

This paper cites Standard library metadata models and structures for the Semantic Web.

A Generative AI-driven Metadata Modelling Approach Standard library metadata models and structures for the Semantic Web

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:32:08.681182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T16:32:07.716522Z digest=sha256:fdf2d503681330905a10f4276b0c09a113e9c8fbe08b3956235fd7372f9d9eb3

Observation 133f9b6e-4e52-476d-b856-88ea369f710b · outbound

This paper cites Symbiosis between Ontology and Linked Data.

A Generative AI-driven Metadata Modelling Approach Symbiosis between Ontology and Linked Data

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:32:08.670642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T16:32:07.719774Z digest=sha256:bab17b2d695d490cb45e4ded850665d7e74882172f0f070a8b2ab91225ca5fdc

Observation 936cca94-867a-4408-a295-575350cc691d · outbound

This paper cites Metadata for Digital Libraries: a Research Agenda.

A Generative AI-driven Metadata Modelling Approach Metadata for Digital Libraries: a Research Agenda

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:32:08.660137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T16:32:07.723042Z digest=sha256:61f8200fe2ef39e75c2f9db46e9d34c2b90fa5880f86709662c757c9a695906b

Observation 1de5dbd1-5b68-4c5d-9d4d-696573e6ae3a · outbound

This paper cites From data mining to knowledge discovery in databases.

A Generative AI-driven Metadata Modelling Approach From data mining to knowledge discovery in databases

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:32:08.649715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T16:32:07.726441Z digest=sha256:d6904a86584a27bcb78d3c7334b3a3639be423af53f72a84b7d4e8df2fe1c5d6

Observation fcf8485b-0f5e-423c-9f72-ef4a9895a600 · outbound

This paper cites Why are ontologies not reused across the same domain?.

A Generative AI-driven Metadata Modelling Approach Why are ontologies not reused across the same domain?

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:32:08.639064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T16:32:07.730166Z digest=sha256:f08eb23e024010c98f16e76d2ad729f70e9f7d079a1723a2b4bd2cf608374c22

Observation 789c3003-0dc3-4098-a4ef-1cb37a56c632 · outbound

This paper cites Library personnel's role in the creation of metadata: A survey of academic libraries.

A Generative AI-driven Metadata Modelling Approach Library personnel's role in the creation of metadata: A survey of academic libraries

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:32:08.628578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T16:32:07.733554Z digest=sha256:31dccd2b7d9f8bf3939e2fb293d592928fdadcc8ff420cf1aafd427d217c3248

Observation d8c135b2-1164-4e24-b308-1aa299f4a468 · outbound

This paper cites Generative AI and ChatGPT: Applications, challenges, and AI-human collaboration.

A Generative AI-driven Metadata Modelling Approach Generative AI and ChatGPT: Applications, challenges, and AI-human collaboration

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:32:08.618271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T16:32:07.736984Z digest=sha256:f5375b571843f379217822562d1096c7e685e3515916b119f5224a79da5b35b0

Observation 7dc0fc42-90a5-42f7-b5f2-54064e07c1de · outbound

This paper cites Understanding top-level ontological distinctions.

A Generative AI-driven Metadata Modelling Approach Understanding top-level ontological distinctions

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:32:08.607687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T16:32:07.740316Z digest=sha256:d7b257c603f1b38e0f600c2879cd106b1178e6c57608c7bb5491f75a7b0ab785

Observation 7361f991-3b8e-47c8-a66d-242343aa4c7f · outbound

This paper cites Sweetening ontologies with DOLCE.

A Generative AI-driven Metadata Modelling Approach Sweetening ontologies with DOLCE

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:32:08.597646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T16:32:07.743708Z digest=sha256:e2683b822b77e3fd08344ab60608bc377c0fdef5a379712c339ed8bdcf80d15f

Observation b6535feb-e6a4-4ee4-8e40-a8c1580805e4 · outbound

This paper cites Datasheets for datasets.

A Generative AI-driven Metadata Modelling Approach Datasheets for datasets

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:32:08.587126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T16:32:07.747170Z digest=sha256:144cbcc46e9bb0e936c4ab065df06e01a39068cd6981a097850084f243c6e7c0

Observation a2ecbc98-7ede-439b-895c-86e2030c5c43 · outbound

This paper cites Robinson, eds.

A Generative AI-driven Metadata Modelling Approach Robinson, eds

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:32:08.575803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T16:32:07.750736Z digest=sha256:198468d0e4c6bcfba53b57c7ad2babcaaa88bf32ba8400e4e8eb2333ffede66f

Observation b2f5ad78-7932-46e2-a5f8-b614a72c6f04 · outbound

This paper cites Some organizing principles for a unified top-level ontology.

A Generative AI-driven Metadata Modelling Approach Some organizing principles for a unified top-level ontology

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:32:08.565182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T16:32:07.754211Z digest=sha256:cb2e84101aa25501a6cd01b76593ce8d90e07b0c648488d741a47daa6237abf5

Observation 2c527d4a-108c-4d91-8a81-f2383f022907 · outbound

This paper cites On the philosophical foundations of conceptual models.

A Generative AI-driven Metadata Modelling Approach On the philosophical foundations of conceptual models

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:32:08.553523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T16:32:07.758039Z digest=sha256:ea4697b2fb618b5a3aba76cda1245aa13edfb430986e0e13893fc2890545d8e7

Observation cdc0233b-5b89-4275-a19d-b27c165795f2 · outbound

This paper cites Formalizing ontological commitment.

A Generative AI-driven Metadata Modelling Approach Formalizing ontological commitment

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:32:08.542353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T16:32:07.761470Z digest=sha256:8e667e6821a6f2e4d89dcca0ed5031100247c05363aeeb87647e6646c0810bf6

Observation b6a59c90-57f3-4de6-803c-642c989fa69a · outbound

This paper cites UFO: Unified foundational ontology.

A Generative AI-driven Metadata Modelling Approach UFO: Unified foundational ontology

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:32:08.532222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T16:32:07.764998Z digest=sha256:1f3612177228257f18d0eb7a50a6e751a48ede02a964ff9d8e8fa903dd12916b

Observation adb7ec6a-508f-4749-9e6c-c538c0a4fb40 · outbound

This paper cites Metadata and data catalogues.

A Generative AI-driven Metadata Modelling Approach Metadata and data catalogues

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:32:08.521430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T16:32:07.768374Z digest=sha256:1aab6e1feb7c15cbab48daa176a01a21d87f2b696c764b3863969db364e0d284

Observation 98964c46-f07f-4ca8-bceb-ce64afa7291c · outbound

This paper cites The evolving role of the metadata librarian.

A Generative AI-driven Metadata Modelling Approach The evolving role of the metadata librarian

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:32:08.510336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T16:32:07.771895Z digest=sha256:d389e4f883cc8705cec87f0b0ede8c01587b187272e1d05d7605c7ee2183827c

Observation 54054bdc-0107-4223-98c1-d9d3c37470f9 · outbound

This paper cites Metadata for Information Management and Retrieval: Understanding metadata and its use.

A Generative AI-driven Metadata Modelling Approach Metadata for Information Management and Retrieval: Understanding metadata and its use

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:32:08.499217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T16:32:07.775377Z digest=sha256:4b93fd0613802520287063fb292de2645bb189fc7ebd8e34f9af1316924f70f6

Observation e617a972-5a4e-454e-acec-5031abbc03ac · outbound

This paper cites From FAIR leading practices to FAIR implementation and back: An inclusive approach to FAIR at Leiden University Libraries.

A Generative AI-driven Metadata Modelling Approach From FAIR leading practices to FAIR implementation and back: An inclusive approach to FAIR at Leiden University Libraries

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:32:08.487965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T16:32:07.779140Z digest=sha256:a713eb60883e39cf05fcbdeb6b4233d0debbd03beb61abbc6e18af35b0465cfc

Observation 0d404464-94d7-4244-bfcf-efa3b37fdd8f · outbound

This paper cites Knowledge organization (KO).

A Generative AI-driven Metadata Modelling Approach Knowledge organization (KO)

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:32:08.477053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T16:32:07.782887Z digest=sha256:716a8a7bcca9bf982e93ede211020861ba46ecfb05c721d5a19319345a00894d

Observation 4d877812-b2ac-49bf-9c43-5b06fe9b7016 · outbound

This paper cites Reviews of Concepts in Knowledge Organization.

A Generative AI-driven Metadata Modelling Approach Reviews of Concepts in Knowledge Organization

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:32:08.466473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T16:32:07.786542Z digest=sha256:f3ee0ecf34b6ad31678cb4e14951fabfa1b38424d0ceffeca4034855ad7cd5f3

Observation 74749493-e156-4fff-aa6d-ac818dad0db1 · outbound

This paper cites Toward a new horizon in information science: Domain ‐ analysis.

A Generative AI-driven Metadata Modelling Approach Toward a new horizon in information science: Domain ‐ analysis

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:32:08.455786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T16:32:07.790113Z digest=sha256:a5b87cb1cb02534e667525714f3ec24aa5440907d3a214b3ddaf6e78a6114fb2

Observation 0e0c85c9-9785-45bc-bcbf-d76fb5e09ae3 · outbound

This paper cites Managing semantic heterogeneity in databases: a theoretical prospective.

A Generative AI-driven Metadata Modelling Approach Managing semantic heterogeneity in databases: a theoretical prospective

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:32:08.444838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T16:32:07.793665Z digest=sha256:d58c0d875fa3f2f7b51db428c3cbb292ebbfb1f44454cfa4f4ee45e20b93e1b8

Observation cbd598ed-ddeb-4241-b571-2241a84cd674 · outbound

This paper cites Big data in basic and translational cancer research.

A Generative AI-driven Metadata Modelling Approach Big data in basic and translational cancer research

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:32:08.433229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T16:32:07.797263Z digest=sha256:1c3b14443c9080d3a47787dc60f6f3947171f5e75b658e40c5aafff822fc2ef6

Observation dfb51b08-a0de-4a28-98ce-3378e8b82e22 · outbound

This paper cites The promise and peril of generative AI.

A Generative AI-driven Metadata Modelling Approach The promise and peril of generative AI

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:32:08.422027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T16:32:07.800843Z digest=sha256:4c406e0747d5907199785a985e53861cd4938a3625640e562e65e562e73fff0c

Observation 4f69adc2-5e65-491b-ade8-a8ca264febe4 · outbound

This paper cites FAIR Principles for Library, Archive and Museum Collections: A proposal for standards for reusable collections.

A Generative AI-driven Metadata Modelling Approach FAIR Principles for Library, Archive and Museum Collections: A proposal for standards for reusable collections

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:32:08.410318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T16:32:07.804293Z digest=sha256:cf5f3d144c57f3c09fac49f8e1b9c4487643dd197acddf377d9e4c3c6106b98a

Observation ad58d36d-dfdc-4857-b5fa-a0edf551da29 · outbound

This paper cites Vocabulary control for information retrieval.

A Generative AI-driven Metadata Modelling Approach Vocabulary control for information retrieval

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:32:08.397403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T16:32:07.807850Z digest=sha256:35f41cd9dacb9941ada65c7dd0d894728e572e28717009ea8c9be2a1ffe6870f

Observation 24d4414f-df42-44b7-8b4f-fe720994635c · outbound

This paper cites Holistic Evaluation of Language Models.

A Generative AI-driven Metadata Modelling Approach Holistic Evaluation of Language Models

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-11T16:32:07.811499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:32:07.811499Z digest=sha256:64e71efb9ab654b90446af21273a92970b710f5e9b4ae31ca6575c9b91aa358e

Observation 3c93a09d-3176-4f3f-adca-6d95884d2480 · outbound

This paper cites Metadata practices in academic and non-academic libraries for digital projects: A survey.

A Generative AI-driven Metadata Modelling Approach Metadata practices in academic and non-academic libraries for digital projects: A survey

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:32:08.386656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T16:32:07.816019Z digest=sha256:04606f88fff8dcbe43d356863069f9a2cdd1309eded0db9feb6b7a7fa6284802

Observation ede70f81-7779-4a89-9a64-a193104779e1 · outbound

This paper cites The 3D/4D controversy: a storm in a teacup.

A Generative AI-driven Metadata Modelling Approach The 3D/4D controversy: a storm in a teacup

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:32:08.375630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T16:32:07.819657Z digest=sha256:da72b6e7b04608f98329c3e083ffc0481c519d692e4dd3d0e4a35139c46f4518

Observation d672586d-2a8a-420b-8ad6-0cc0407f1824 · outbound

This paper cites WordNet: a lexical database for English.

A Generative AI-driven Metadata Modelling Approach WordNet: a lexical database for English

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:32:08.365003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T16:32:07.823010Z digest=sha256:cee237f7a89c4a94462be0418d4874b6ff8826838bf1f804d65ef83f454e5404

Observation 49823061-e6ae-407a-89ac-7c7d54c62e32 · outbound

This paper cites Natural language and its ontology.

A Generative AI-driven Metadata Modelling Approach Natural language and its ontology

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:32:08.354697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T16:32:07.826715Z digest=sha256:8cd9f78a9f7b8a93e7e20d457f6a4e83225f9d6cfcd1033bf847c802f0b9492a

Observation f6d23f02-729a-4f72-9225-6c89264ec8b0 · outbound

This paper cites Focus groups.

A Generative AI-driven Metadata Modelling Approach Focus groups

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:32:08.343926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T16:32:07.830259Z digest=sha256:ca59430fadfe3b299154ce5e04086f59891cd06aa358406a7531cb0a88464867

Observation c3b1ca0c-ca17-4b84-8e26-22671cd1808e · outbound

This paper cites BabelNet: The automatic construction, evaluation and application of a wide-coverage multilingual semantic network.

A Generative AI-driven Metadata Modelling Approach BabelNet: The automatic construction, evaluation and application of a wide-coverage multilingual semantic network

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:32:08.333826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T16:32:07.833845Z digest=sha256:eb64cff8d6a09304f28b5e6d1ef8dad3a957be6b0c63b9e6667c2450dc8a2642

Observation 678de5c0-f081-4a41-8e33-53811f369f5b · outbound

This paper cites Using the Concept of Warrant in Designing Metadata for Enterprise Search.

A Generative AI-driven Metadata Modelling Approach Using the Concept of Warrant in Designing Metadata for Enterprise Search

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:32:08.323751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T16:32:07.837333Z digest=sha256:1cb260c3cbc734fa1858cbbe62a4235f3ff52226df9bc15b505983a02eb766e3

Observation 8be8d0ca-6f95-4b0a-9209-0012f05435ad · outbound

This paper cites Data Interoperability.

A Generative AI-driven Metadata Modelling Approach Data Interoperability

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:32:08.312945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T16:32:07.840791Z digest=sha256:a65f6e7859f0d4afa38eb0aa9493182152c1f20ba80e0e94931a3c9f8030fbc1

Observation 6777247d-0fdd-40ee-93d2-29ffb721f18e · outbound

This paper cites Metadata quality in digital repositories: A survey of the current state of the art.

A Generative AI-driven Metadata Modelling Approach Metadata quality in digital repositories: A survey of the current state of the art

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:32:08.302343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 546840dc-e4cd-4f76-917b-891b41066d16 · outbound

This paper cites Knowledge discovery from data?.

A Generative AI-driven Metadata Modelling Approach Knowledge discovery from data?

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:32:08.291769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T16:32:07.847703Z digest=sha256:3faf580ddf05a9924b320200cea17b7ab965b1112c518bd37bf285ac7e40f2f3

Observation 30cb8975-5604-4d82-920f-031fa824b922 · outbound

This paper cites Libraries’ metadata as data in the era of the semantic web: modeling a repository of master theses and PhD dissertations for the web of data.

A Generative AI-driven Metadata Modelling Approach Libraries’ metadata as data in the era of the semantic web: modeling a repository of master theses and PhD dissertations for the web of data

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:32:08.280958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T16:32:07.851281Z digest=sha256:8614c62edcf046544698b808b687cfb9813e3483a6174054b1bd3e39792d2895

Observation c7467f4e-55dc-4d26-b304-0d28735f6ef5 · outbound

This paper cites MultiWordNet: developing an aligned multilingual database.

A Generative AI-driven Metadata Modelling Approach MultiWordNet: developing an aligned multilingual database

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:32:08.270577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T16:32:07.854832Z digest=sha256:cbc2cf82de12afd3bce233076f3a6c8e0946c07af69cd87868797635d767518b

Observation bb5b9c3d-c24d-4575-b4d0-63f99f343d70 · outbound

This paper cites Measuring the perceived semantic quality of information models.

A Generative AI-driven Metadata Modelling Approach Measuring the perceived semantic quality of information models

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:32:08.259984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T16:32:07.858211Z digest=sha256:9889364aa0745cd0c05ce677f8da55c3ab286b43818b3ae0b435fbf6500b070e

Observation 600d939f-e635-400a-8018-bb78b966a840 · outbound

This paper cites Library science and scientific method.

A Generative AI-driven Metadata Modelling Approach Library science and scientific method

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:32:08.249687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T16:32:07.861612Z digest=sha256:9792af7d5c0dae3194c5ca4413a16553f0fb7738e3e3a22ca04acea0b972bc57

Observation 99728986-33bc-4229-823c-4a94fa70bbeb · outbound

This paper cites Prolegomena to library classification.

A Generative AI-driven Metadata Modelling Approach Prolegomena to library classification

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:32:08.238985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T16:32:07.865437Z digest=sha256:b6f5ccb68f2dc4bb14cb52620accbcba4d9a13c33ca8394ec84689c5a503148d

Observation a57d552e-e0a9-4b1c-b0a3-e96b1ed11178 · outbound

This paper cites Philosophy of library classification.

A Generative AI-driven Metadata Modelling Approach Philosophy of library classification

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:32:08.228699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T16:32:07.868979Z digest=sha256:7d4d77fe13c72f902107062f78bf3f3e90af3d0d5afd70fd14687a7dc295d718

Observation 427914f9-8acd-4dc3-b553-3b366fd603dc · outbound

This paper cites A Survey of Hallucination in Large Foundation Models.

A Generative AI-driven Metadata Modelling Approach A Survey of Hallucination in Large Foundation Models

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-11T16:32:07.872664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:32:07.872664Z digest=sha256:71077282e9040bc5b9deeff1b2638a20a5df26a7d6b650da7be3f7b3303014b1

Observation 65ecaf26-945c-4871-8ce1-c0a39ce13748 · outbound

This paper cites Generative AI: Here to stay, but for good?.

A Generative AI-driven Metadata Modelling Approach Generative AI: Here to stay, but for good?

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:32:08.217433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T16:32:07.876740Z digest=sha256:f5f5e4a476664b518b8226ac084c84810360e667a72f3562994bfd7b0c0b48af

Observation ea7f8198-57d6-4949-8c69-5b770d6a1fe0 · outbound

This paper cites Knowledge discovery in digital libraries of electronic theses and dissertations: an NDLTD case study.

A Generative AI-driven Metadata Modelling Approach Knowledge discovery in digital libraries of electronic theses and dissertations: an NDLTD case study

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:32:08.205662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T16:32:07.880041Z digest=sha256:ab87d52e3be4410754a58260f3feda68613b5d107883808c9f72da156a30e0ce

Observation 43404db0-dd28-469c-8b3e-69247636080c · outbound

This paper cites Glossary of terms and definitions.

A Generative AI-driven Metadata Modelling Approach Glossary of terms and definitions

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:32:08.194210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T16:32:07.883389Z digest=sha256:22d563c4ffdba647adc35832803fce30a27669e4831cc6121203ddf4233b7a0a

Observation be4fb479-07b8-46f5-b1e0-ab48e1208a68 · outbound

This paper cites Metadata management and application.

A Generative AI-driven Metadata Modelling Approach Metadata management and application

Reference 88

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T16:32:07.887073Z digest=sha256:2dba18509a46e7ae76bb9a50461c58816e2bd58be2cd0a1c11dc7dfbc4834ca9

Observation a57269c2-26ed-4451-bd01-620bf56e061f · outbound

This paper cites Standards in healthcare data.

A Generative AI-driven Metadata Modelling Approach Standards in healthcare data

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:32:08.172247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T16:32:07.890689Z digest=sha256:a0801dec0a267e40072d7862da3cb9978e57c82b94db11c366ccd35c1cf23ad2

Observation 7b9eeb24-8c9a-4f61-bbb8-1020effb9025 · outbound

This paper cites Basic formal ontology for bioinformatics.

A Generative AI-driven Metadata Modelling Approach Basic formal ontology for bioinformatics

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:32:08.160335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T16:32:07.894222Z digest=sha256:41f5d13b5edf455536265996c834c78195be83c6c06b85f8c93876d08c36c48e

Observation 0dfa7af9-4629-4f81-bea0-074503d7376a · outbound

This paper cites Metadata schema for the description of research data repositories: Version 3.1.

A Generative AI-driven Metadata Modelling Approach Metadata schema for the description of research data repositories: Version 3.1

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:32:08.149008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T16:32:07.897934Z digest=sha256:702f9529269373ce49c1baa12032f4b546d04c6fc4b3f472a390869897d864e6

Observation befbed7f-14a5-4d84-b614-bd6ffdbf1c93 · outbound

This paper cites Guide to terminology.

A Generative AI-driven Metadata Modelling Approach Guide to terminology

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:32:08.137884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T16:32:07.901795Z digest=sha256:68349d6808193557baff2c664045204a46aa0fa3d1f4da38759f9183ac7ab3d2

Observation 15f02c8e-1db3-408a-a141-2ac6fdc53989 · outbound

This paper cites Networked library services in a research ‐ intensive university.

A Generative AI-driven Metadata Modelling Approach Networked library services in a research ‐ intensive university

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:32:08.126737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T16:32:07.905170Z digest=sha256:998d86cc7cef38b67931bff8d390e700f0ebabe64606dcbe5f860067e989bf36

Observation 3e5045a9-0a62-4e4c-a662-73814345447b · outbound

This paper cites Andrew Large.

A Generative AI-driven Metadata Modelling Approach Andrew Large

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:32:08.115052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T16:32:07.908804Z digest=sha256:fc556031ce5ecdd9f2c1ec52ea877746372afb3279d406730f1a728f57b12e2f

Observation 9e025ef4-d9ea-4b48-ad5e-594f6bb5d427 · outbound

This paper cites Understanding the nature of metadata: systematic review.

A Generative AI-driven Metadata Modelling Approach Understanding the nature of metadata: systematic review

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:32:08.103716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T16:32:07.912248Z digest=sha256:ee4f76d3790b91d4f7b97cd35e961145f7372e3387a475a28fa0e8f67510a8f1

Observation 35bba2a2-6102-45f7-8ebb-63ee8907023f · outbound

This paper cites Datafication, dataism and dataveillance: Big Data between scientific paradigm and ideology.

A Generative AI-driven Metadata Modelling Approach Datafication, dataism and dataveillance: Big Data between scientific paradigm and ideology

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:32:08.092570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T16:32:07.915660Z digest=sha256:2fa66f843ffebb4271e716db103ff6a301961597f26e956b1482c69f2643c7c2

Observation e869f8a4-aad4-4228-b288-89412987ffa6 · outbound

This paper cites Digital ethnography.

A Generative AI-driven Metadata Modelling Approach Digital ethnography

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:32:08.082082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T16:32:07.919334Z digest=sha256:6af8de76379b1ca3b3740742c5b8892c211923be690ba006037b639d07353f9e

Observation c2846fb5-dfc6-407f-9b1f-57b7b3ba1b87 · outbound

This paper cites Intensional semantics.

A Generative AI-driven Metadata Modelling Approach Intensional semantics

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:32:08.071567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T16:32:07.923057Z digest=sha256:06a31c46e96b94039fed32bb22997ec966b975241cfa9cc49e899f2f823fb017

Observation 11be1838-d0fc-47e5-b1d8-0576655158a7 · outbound

This paper cites Wikidata: a free collaborative knowledgebase.

A Generative AI-driven Metadata Modelling Approach Wikidata: a free collaborative knowledgebase

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:32:08.060074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T16:32:07.926501Z digest=sha256:b76f0ddc84948efb40e5357e25c2b81b0cac52a85527ea6f123d1b51818d28f2

Observation f2643f12-ce3f-4bd4-b293-1da8b8853073 · outbound

This paper cites RFC2413: Dublin Core Metadata for Resource Discovery.

A Generative AI-driven Metadata Modelling Approach RFC2413: Dublin Core Metadata for Resource Discovery

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:32:08.048285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T16:32:07.930366Z digest=sha256:f2ffdf495d9dd1339ea229fd6acee3f25baba4addd29fde341e43c265c2349d1

Pith citing papers

No inbound Pith citation observations are available.