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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 2026-08-12T06:34:41.77262+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

This paper cites an unresolved cited work.

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

This paper cites Conceptualising a Library Chatbot using Open Source Conversational Artificial Intelligence.

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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Observation bc25f565-c80f-4753-b64f-c5986c2c17a2 · outbound

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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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Observation d299b80d-78c0-42ea-941d-9e749607dd0e · outbound

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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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Observation b20fa945-b637-46b3-9afc-a313a5e40681 · outbound

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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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Observation 07a06a46-396d-42d5-b5ef-fcdbaafab6f2 · outbound

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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

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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 2026-08-12T06:34:41.77262+00:00.

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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
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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:32:07.716522Z digest=sha256:ef388ecfed170713bdc7fcb5f2eb436f3ef2d0cefb242954769f83262cce952c

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:32:07.719774Z digest=sha256:4646103943258120dd3a48d1bc4c24fcceda32b8bafb85c1a63e4c5a3ba50ada

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
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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:32:07.723042Z digest=sha256:c3e29eb7639121153f40b5b3f44b68470acf3533f70edbed5e19822cc7900781

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 2026-08-12T06:34:41.77262+00:00.

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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:32:07.730166Z digest=sha256:df794b9809efbaa477f47a954aa4c40d193a6f7d59c3a0c7b22e79e44a83a548

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:32:07.733554Z digest=sha256:dd666ad95cf8162e05760bccc5e937510505dd4acc64bd032842e87458e902b5

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:32:07.736984Z digest=sha256:0d94f893319c555d70faa047b2623cb099d9b8fefd0d2642782f4f3b9eba08a0

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:32:07.740316Z digest=sha256:d7e4fc9bc8c9b3849ae4075a507806740718ad40e2b85c0fbe93865c1db12149

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:32:07.743708Z digest=sha256:e0f05b64b1990866e8344d9f377a13e7c649770af7b7394b81682aaf94fe662f

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:32:07.747170Z digest=sha256:07990ef5b570a96c7fa97b2e2de77ec0beb5de67c6ee48489feabfa7637ba733

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:32:07.750736Z digest=sha256:e96e77b99ab5cedfb9f6923533f3c23ec0bc1015db3ee493f9f6043b2745eab8

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:32:07.754211Z digest=sha256:970481ee6afb7f21c8e0fdb8c40b632fd5c7bed744694b7fe706daba1d5f9551

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:32:07.758039Z digest=sha256:39fbb0fea544b5a7b1e5265a45b205fa41fdfc5bc55c0b071c6acf0d1b5e5adf

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:32:07.761470Z digest=sha256:21926732c3b1c872954c48e2846d9985e78181ff3d2c9fad2df6844e63878feb

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:32:07.764998Z digest=sha256:caf5f0e6a077985df14c1af413d33eef456ae1cc47913c6be9da022b63be70a8

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:32:07.768374Z digest=sha256:c6127319d4e29c1618d6487bf8af5da51522d05fd54197d0a6ff72ce773ef8c5

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:32:07.771895Z digest=sha256:29bfed69743203751f640727b7e32ca93619780942b561910e4eb3f854e8bb3e

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:32:07.775377Z digest=sha256:955366c2d59e82e5c49313c05bb4095bca375ca3b4cca8416d6ec81808425558

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:32:07.779140Z digest=sha256:cea95c838564479198361346b0361d505dac2e570d7f9b697cc93fe064cd935e

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:32:07.782887Z digest=sha256:59776e41fc8ec16cacc26fa04b56776ac5d63d1f2b6556a445432c4c6b243dcb

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:32:07.786542Z digest=sha256:7d81f30bb58cc4182c97414ff48155fd5c67b59eb4e6230e51492c164b7023ef

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
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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:32:07.790113Z digest=sha256:6b92cdddc569a7712f0776ec18c855e758ea2b0948f4e7d9031117348e257470

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
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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:32:07.793665Z digest=sha256:e13ee24aee47db950501cd704d5bcd5a61cc0d70efb0b4616c17f2fb4e3aa36f

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
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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:32:07.797263Z digest=sha256:294b0253ddd6e9cc1ba98da9ffb5cd3415f232a6ced467ef3b78ed2e17e4044a

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:32:07.800843Z digest=sha256:f2cd936609591a5053eb9c88b8906efbfeadec1c71f810d97564eb62cdce29bd

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:32:07.804293Z digest=sha256:c04052e42dfe86e429e57f23b0121edd5bc2ca44125741385655968448c1cc11

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:32:07.807850Z digest=sha256:e44115fc6877561c438f0a03799e978b1792f049633c3ae3c307cc739882b299

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:32:07.816019Z digest=sha256:51dc00e905568d39600373a2119760a75abbb1af2aa9dff0058b49e8c2ec0a28

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:32:07.819657Z digest=sha256:38f4b867ce6b28dec964fd353ab1ef68669fde003098a08e6f778a5232a19b85

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:32:07.823010Z digest=sha256:44e840839ba170c09380243eeb997f115b8bfb019b2d581e71aba9c9670f7a0a

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:32:07.826715Z digest=sha256:160dbd13d7ce08b6e31b61e406ea44cc5d0576599fc6107aa35399ac0a7276bd

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:32:07.830259Z digest=sha256:21695573a088177ec3469b1dd2345e466686c2667d21d941cf9b9fa642cf29e7

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:32:07.833845Z digest=sha256:d555543a4a4c69b83255f2ada1020b4b88b5d791d9de87f3b8dcea210c4c1d0f

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:32:07.837333Z digest=sha256:946cda3080c13f100a24b42163dc016fe7e67bc88a6373744b24abbed80feb7a

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:32:07.840791Z digest=sha256:bf97893773e3b405e037f5b004d942768e60a98a672f3e715e446e64ebdcae17

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:32:07.844274Z digest=sha256:56e5585f98560e1c83e22afe65f3bf2e6319ed6a0c1596b8c96b981cdc7e5816

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:32:07.847703Z digest=sha256:3cb889951e5ddba1cf9cfc65ef1cf4aaefe7bc8a7d3d87317a41b7f4cc8a4ae1

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:32:07.851281Z digest=sha256:27d92464daf08b3a32c000672eaac658e8cea54e8ed2e74a7804588a9804781a

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:32:07.854832Z digest=sha256:527c4689f3f5b5cfcd5de5640b133f37fc3fdfceafe9a0a2a31a05eb75fe6d37

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:32:07.858211Z digest=sha256:cbd69aa841723dc07089c504624f05291b950784bd49f958e32c8d2ca2cff553

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:32:07.861612Z digest=sha256:f7fd8446149a6f492f4d5eb32363df1f499432159baadcc45ba58fa9afa3d126

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:32:07.865437Z digest=sha256:a134faff1b88809da448141d815002c80f7772837eaf2de6147863f5e082285c

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:32:07.868979Z digest=sha256:93c5f2ca009eef5f3c14e9733cbe5f6012d8252f50e5919b8ad09832156b32d5

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:32:07.876740Z digest=sha256:57b6bf1e6a925be519ffc526dd8286122532c603ce081e11b6b00e99991e4ea3

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:32:07.880041Z digest=sha256:fe602769bc3c10ade1ad12975f8a6d4d533e21a6f2ae3bf9b8b8c7e0899eb024

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:32:07.883389Z digest=sha256:91c98ef38e58f32f11156375d954fabafa98db4f3d3fb7f75ad719516ee3e37f

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
raw_fallback, observed 2026-08-11T16:32:08.183269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:32:07.887073Z digest=sha256:c539beb65037d1eb57506d223762fc6f34af501f144330ff0cbb019a69589f3c

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:32:07.890689Z digest=sha256:1a2684c04d6e0e41df4fe3c53081cc9296d2398b768b6d0e237232eb84f9dd78

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:32:07.894222Z digest=sha256:2de2363bc90c98b1d06e2d91abbacaa557b5d14acc7cfd31a41ec176bea28c39

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:32:07.897934Z digest=sha256:29c52bf828222f3fe797e8a12b3000df6a269ca4d6c1839c37c9ffda81106d9b

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:32:07.901795Z digest=sha256:e376412dd263ec9f7df5c1d24937a32699aa4d97826608d2da6260893471bdd9

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:32:07.905170Z digest=sha256:7eabe8cb29c53cec61d93bf85d0258bfa962fe23d6150126fd16eaad2b0b2483

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:32:07.908804Z digest=sha256:9acd5972f534d8456c78c4e5040cd68f20245dde33b6150ef002a93d92bcb28e

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:32:07.912248Z digest=sha256:c6fc24a0911cc0b5adaa97256b3b2b6cbdff482315d2260f734ac83380a50864

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:32:07.915660Z digest=sha256:ae576c68afb9aaaa45f404d39d61b37d0e6ae84297a1766910146f309d0dd5ad

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:32:07.919334Z digest=sha256:74351f5886418642ca770b977110b7502514fab70437703f9280a39f582daef2

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:32:07.923057Z digest=sha256:98dabc581ec0f2b61710f8d02fa78b3f70331227ca493a3468a2e6d3955fb1c9

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:32:07.926501Z digest=sha256:8fec03bfdf421904319cabc9c502e8d45471a099481c9390ab6767d9e8cd7a87

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:32:07.930366Z digest=sha256:2633f12750315ff3f96aa65025e5edd46726eebe119b292f9f66518ac0c18c14

Pith citing papers

No inbound Pith citation observations are available.