Paper Citation Record · LEDGER

OntoRAG: Enhancing Question-Answering through Automated Ontology Derivation from Unstructured Knowledge Bases

As of 8 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 2 inbound Pith citation observations for arXiv:2506.00664.

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

pith.paper-citation-record.v1
2506.00664 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:04:28.671490Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T09:43:58.385814Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T17:05:51.160296Z

Reference resolution

33 of 33 outbound references displayed

verified exact0
verified fuzzy25
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b048dbcf-0058-4d99-964f-e1ccecbc2ffa · outbound

This paper cites Language models are few-shot learners,.

OntoRAG: Enhancing Question-Answering through Automated Ontology Derivation from Unstructured Knowledge Bases Language models are few-shot learners,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:04:33.508209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 302a43c8-39bd-47af-ad49-297f8cc31265 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

OntoRAG: Enhancing Question-Answering through Automated Ontology Derivation from Unstructured Knowledge Bases On the Opportunities and Risks of Foundation Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T12:04:25.639891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f18d1ff2-a097-423a-948a-376dd550d135 · outbound

This paper cites PaLM: Scaling language modeling with path- ways,.

OntoRAG: Enhancing Question-Answering through Automated Ontology Derivation from Unstructured Knowledge Bases PaLM: Scaling language modeling with path- ways,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:04:33.276143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1aad835b-e030-4234-a572-a8841f891c1f · outbound

This paper cites Large language models struggle to learn long-tail knowledge,.

OntoRAG: Enhancing Question-Answering through Automated Ontology Derivation from Unstructured Knowledge Bases Large language models struggle to learn long-tail knowledge,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:04:33.141851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f993c9b8-b98a-42e3-aa02-9599471cee73 · outbound

This paper cites Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models.

OntoRAG: Enhancing Question-Answering through Automated Ontology Derivation from Unstructured Knowledge Bases Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T12:04:25.983918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d730ffee-6186-4794-a478-8211d2ebadb0 · outbound

This paper cites Nearest neighbor machine translation,.

OntoRAG: Enhancing Question-Answering through Automated Ontology Derivation from Unstructured Knowledge Bases Nearest neighbor machine translation,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:04:32.964505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c09ab850-0fb6-49c6-abc3-e5b20119b251 · outbound

This paper cites DUC 2005: Evaluation of question-focused summarization systems,.

OntoRAG: Enhancing Question-Answering through Automated Ontology Derivation from Unstructured Knowledge Bases DUC 2005: Evaluation of question-focused summarization systems,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:04:32.773458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 71182ebd-7ac2-4e0a-8caf-9535d705f25c · outbound

This paper cites From Local to Global: A Graph RAG Approach to Query-Focused Summarization.

OntoRAG: Enhancing Question-Answering through Automated Ontology Derivation from Unstructured Knowledge Bases From Local to Global: A Graph RAG Approach to Query-Focused Summarization

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T12:04:26.415030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4f5ba38-6a5b-4654-a0f5-afab8f6c4751 · outbound

This paper cites Knowledge repository of ontology learning tools from text,.

OntoRAG: Enhancing Question-Answering through Automated Ontology Derivation from Unstructured Knowledge Bases Knowledge repository of ontology learning tools from text,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:04:32.464579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1c854cca-5cbe-4996-b7ec-ebb7996f9254 · outbound

This paper cites The unified medical language system (UMLS): Inte- grating biomedical terminology,.

OntoRAG: Enhancing Question-Answering through Automated Ontology Derivation from Unstructured Knowledge Bases The unified medical language system (UMLS): Inte- grating biomedical terminology,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:04:32.263250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 86220889-2cbe-43cb-bb39-3307c8114d2a · outbound

This paper cites WordNet: A lexical database for English,.

OntoRAG: Enhancing Question-Answering through Automated Ontology Derivation from Unstructured Knowledge Bases WordNet: A lexical database for English,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:04:32.058541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d2381483-2c18-41e6-9651-048ecad8c955 · outbound

This paper cites Y AGO: A multilingual knowledge base from Wikipedia, WordNet, and GeoNames,.

OntoRAG: Enhancing Question-Answering through Automated Ontology Derivation from Unstructured Knowledge Bases Y AGO: A multilingual knowledge base from Wikipedia, WordNet, and GeoNames,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:04:31.857806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation db2c37de-32fd-43d8-87c9-77fe00c694fd · outbound

This paper cites The Dublin Core Metadata Initiative,.

OntoRAG: Enhancing Question-Answering through Automated Ontology Derivation from Unstructured Knowledge Bases The Dublin Core Metadata Initiative,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:04:31.701917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0ccb2fe1-6dfa-46a9-a582-d659be2d4fce · outbound

This paper cites Schema.org: Evolution of structured data on the web,.

OntoRAG: Enhancing Question-Answering through Automated Ontology Derivation from Unstructured Knowledge Bases Schema.org: Evolution of structured data on the web,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:04:31.517926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cfc4f17b-5c15-4777-9c33-b55af3ea83f6 · outbound

This paper cites Ontology development 101: A guide to creating your first ontology,.

OntoRAG: Enhancing Question-Answering through Automated Ontology Derivation from Unstructured Knowledge Bases Ontology development 101: A guide to creating your first ontology,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:04:31.328264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e2cfaf7a-0d22-4cbe-bf84-0dd8d08f03eb · outbound

This paper cites Methodologies for ontology development,.

OntoRAG: Enhancing Question-Answering through Automated Ontology Derivation from Unstructured Knowledge Bases Methodologies for ontology development,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:04:31.119154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ae80a75d-b88e-43b5-9aea-ae53275391d1 · outbound

This paper cites Towards learn- ing from user feedback for ontology-based information extraction,.

OntoRAG: Enhancing Question-Answering through Automated Ontology Derivation from Unstructured Knowledge Bases Towards learn- ing from user feedback for ontology-based information extraction,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:04:30.961262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7edd61a3-13a5-41c3-b5df-82ebb9d78e87 · outbound

This paper cites Multi-hop Question Answering over Knowledge Graphs using Large Language Models.

OntoRAG: Enhancing Question-Answering through Automated Ontology Derivation from Unstructured Knowledge Bases Multi-hop Question Answering over Knowledge Graphs using Large Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T12:04:27.354760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fefc6656-4a3f-4d65-b480-29fa227360a0 · outbound

This paper cites Multi-hop Question Answering under Temporal Knowledge Editing.

OntoRAG: Enhancing Question-Answering through Automated Ontology Derivation from Unstructured Knowledge Bases Multi-hop Question Answering under Temporal Knowledge Editing

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T12:04:27.420136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2bce787-233f-4591-a1fd-85ff6e96e49d · outbound

This paper cites FanOutQA: A Multi-Hop, Multi-Document Question Answering Benchmark for Large Language Models.

OntoRAG: Enhancing Question-Answering through Automated Ontology Derivation from Unstructured Knowledge Bases FanOutQA: A Multi-Hop, Multi-Document Question Answering Benchmark for Large Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T12:04:27.522421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d36daa00-0d80-4eda-987f-6dd57f44d44b · outbound

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

OntoRAG: Enhancing Question-Answering through Automated Ontology Derivation from Unstructured Knowledge Bases From human experts to machines: An LLM supported approach to ontology and knowledge graph construction

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T12:04:27.595835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db9927f6-acd7-437d-a7b0-0e11ba67415c · outbound

This paper cites Berners-Lee, Weaving the Web: The Original Design and Ultimate Destiny of the World Wide Web.

OntoRAG: Enhancing Question-Answering through Automated Ontology Derivation from Unstructured Knowledge Bases Berners-Lee, Weaving the Web: The Original Design and Ultimate Destiny of the World Wide Web

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:04:30.762173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 167ca396-5d27-4204-975f-6550e45bcb64 · outbound

This paper cites BeautifulSoup,.

OntoRAG: Enhancing Question-Answering through Automated Ontology Derivation from Unstructured Knowledge Bases BeautifulSoup,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:04:30.568552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 46cb23ac-4646-4d77-a064-eb58e40ba21a · outbound

This paper cites Available: https://scrapy.org/.

OntoRAG: Enhancing Question-Answering through Automated Ontology Derivation from Unstructured Knowledge Bases Available: https://scrapy.org/

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:04:30.375054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c5d87e2e-a03a-4f73-8fc9-1d20a60d776a · outbound

This paper cites Unstructured Library,.

OntoRAG: Enhancing Question-Answering through Automated Ontology Derivation from Unstructured Knowledge Bases Unstructured Library,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:04:30.191404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5aac1030-d49e-4c94-be3d-704da11bb628 · outbound

This paper cites PDFMiner,.

OntoRAG: Enhancing Question-Answering through Automated Ontology Derivation from Unstructured Knowledge Bases PDFMiner,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:04:29.985573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b46c5981-7fff-49bc-9287-143b5a49e8b3 · outbound

This paper cites PyMuPDF,.

OntoRAG: Enhancing Question-Answering through Automated Ontology Derivation from Unstructured Knowledge Bases PyMuPDF,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:04:29.821808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3280bd61-8347-4f6e-af72-40339695cd48 · outbound

This paper cites Amazon Textract,.

OntoRAG: Enhancing Question-Answering through Automated Ontology Derivation from Unstructured Knowledge Bases Amazon Textract,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:04:29.667501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 960f9a98-462f-42ca-af86-edfb7058d814 · outbound

This paper cites Pytesseract,.

OntoRAG: Enhancing Question-Answering through Automated Ontology Derivation from Unstructured Knowledge Bases Pytesseract,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:04:29.501666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 823afebe-a472-422f-816d-f13875d683ed · outbound

This paper cites From Louvain to Leiden: Guaranteeing well-connected communities,.

OntoRAG: Enhancing Question-Answering through Automated Ontology Derivation from Unstructured Knowledge Bases From Louvain to Leiden: Guaranteeing well-connected communities,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:04:29.249429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3f2eddc0-c3c0-4628-9feb-188086ad0550 · outbound

This paper cites graspologic,.

OntoRAG: Enhancing Question-Answering through Automated Ontology Derivation from Unstructured Knowledge Bases graspologic,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:04:29.047929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0cc296d0-f64d-45e2-ac3f-a818fa8574e7 · outbound

This paper cites Scikit-learn,.

OntoRAG: Enhancing Question-Answering through Automated Ontology Derivation from Unstructured Knowledge Bases Scikit-learn,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:04:28.892173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fa0c8215-c4b9-4033-8b14-6074c1b4960c · outbound

This paper cites Ikotun, Absalom E.

OntoRAG: Enhancing Question-Answering through Automated Ontology Derivation from Unstructured Knowledge Bases Ikotun, Absalom E

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T12:04:28.671490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation ca128a5e-ec79-49aa-a38d-0235f41eab8a · inbound

JD Oxygen AI Item Center (Oxygen AIIC) V1: An Industrial-Scale LLM/VLM-Centric Solution for Item Understanding, Management, and Applications cites this paper.

JD Oxygen AI Item Center (Oxygen AIIC) V1: An Industrial-Scale LLM/VLM-Centric Solution for Item Understanding, Management, and Applications OntoRAG: Enhancing Question-Answering through Automated Ontology Derivation from Unstructured Knowledge Bases

Reference 78

Resolution: verified exact; arxiv_id, observed 2026-07-01T17:05:51.161723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a100bece-ba45-4bfe-b7f1-643823227ecb · inbound

JD Oxygen AI Item Center (Oxygen AIIC) V1: An Industrial-Scale LLM/VLM-Centric Solution for Item Understanding, Management, and Applications cites this paper.

Reference 78

Resolution: verified exact; arxiv_id, observed 2026-06-30T09:44:37.171169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.