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Paper Citation Record · LEDGER

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

As of 12 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2604.20795.

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

pith.paper-citation-record.v1
2604.20795 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-09T23:38:04.276214Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

23 of 23 outbound references displayed

  • verified exact14
  • verified fuzzy8
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 075e37e1-bf9d-49fa-ad45-b288bcf1031b · outbound

This paper cites RDF 1.1 Concepts and Abstract Syntax.

Automatic Ontology Construction Using LLMs as an External Layer of Memory, Verification, and Planning for Hybrid Intelligent Systems RDF 1.1 Concepts and Abstract Syntax

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T12:45:37.101902Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-09T23:38:04.276214Z digest=sha256:3cd82484966c7c1eb724e12b566a99c52b0af10b88e5a3de308d6a13e35787eb

Observation eb687abf-87c7-4350-beae-9d9e0f0186ef · outbound

This paper cites OWL 2 Web Ontology Language Document Overview.

Automatic Ontology Construction Using LLMs as an External Layer of Memory, Verification, and Planning for Hybrid Intelligent Systems OWL 2 Web Ontology Language Document Overview

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T12:45:37.094770Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-09T23:38:04.276214Z digest=sha256:4d2759c4bc45d411e758619e69aed7fcbdc8b8edca42871b0c43a7adf79493b8

Observation 9792df5c-a385-4a54-ae53-da11e86a8d9a · outbound

This paper cites SPARQL 1.1 Query Language.

Automatic Ontology Construction Using LLMs as an External Layer of Memory, Verification, and Planning for Hybrid Intelligent Systems SPARQL 1.1 Query Language

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T12:45:37.105893Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-09T23:38:04.276214Z digest=sha256:8869280ac893b4f0f9db9e123b7a5d0ac81beaf78b911cf7ac1e30758d213d31

Observation a29f0827-997f-453c-bebe-9671c3bb72b6 · outbound

This paper cites Shapes Constraint Language (SHACL).

Automatic Ontology Construction Using LLMs as an External Layer of Memory, Verification, and Planning for Hybrid Intelligent Systems Shapes Constraint Language (SHACL)

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T12:45:37.091454Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-09T23:38:04.276214Z digest=sha256:888a47207bf8c938321a5184897228ef62396023db89dccdcce53a8998a82e83

Observation 8db6726a-41ac-48eb-a407-7dc2680bcf81 · outbound

This paper cites MCP specification, version dated 2025- 11-25.

Automatic Ontology Construction Using LLMs as an External Layer of Memory, Verification, and Planning for Hybrid Intelligent Systems MCP specification, version dated 2025- 11-25

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T12:45:37.098471Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-09T23:38:04.276214Z digest=sha256:ce073ebfd31fa9989b59535a74bab89d98a885ae6faa2396b36ddc1363d3c41d

Observation 124dc093-c4bb-4462-b2b8-a0bc0f07705b · outbound

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

Automatic Ontology Construction Using LLMs as an External Layer of Memory, Verification, and Planning for Hybrid Intelligent Systems From Local to Global: A Graph RAG Approach to Query-Focused Summarization

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-05-11T14:06:02.966972Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-09T23:38:04.276214Z digest=sha256:acf6ec8925bd39b956f58f03d80880c2a0568059d3904ab9828baaa532d16500

Observation 714c246a-3594-4ec7-8e03-3d3f0548c86f · outbound

This paper cites Retrieval-Augmented Generation with Graphs (GraphRAG).

Automatic Ontology Construction Using LLMs as an External Layer of Memory, Verification, and Planning for Hybrid Intelligent Systems Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-18T04:33:40.134243Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-09T23:38:04.276214Z digest=sha256:3db4582854dc3a48e6ac8b9b280d18526e26c7521e4885ace793904d5ed91c64

Observation 27fb011b-05ea-4f09-98ad-521590c3c6a7 · outbound

This paper cites Microsoft Research documentation.

Automatic Ontology Construction Using LLMs as an External Layer of Memory, Verification, and Planning for Hybrid Intelligent Systems Microsoft Research documentation

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T12:45:37.116245Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-09T23:38:04.276214Z digest=sha256:3db6319e96b8fa7a9bf21a2b7f4ba91a12ff47c2815de28309944ce3a156114e

Observation 53a191f5-dde0-45ac-929a-767f259606a2 · outbound

This paper cites an unresolved cited work.

Automatic Ontology Construction Using LLMs as an External Layer of Memory, Verification, and Planning for Hybrid Intelligent Systems Unresolved cited work

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-11T14:06:02.959237Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-09T23:38:04.276214Z digest=sha256:2f42a76ab37e3afdcb001803e7ac1b166d3e11c2fae924167351c4e34cd253bb

Observation 6add1da6-b4c6-4d8a-aba8-ac1732ef999a · outbound

This paper cites Garijo et al.

Automatic Ontology Construction Using LLMs as an External Layer of Memory, Verification, and Planning for Hybrid Intelligent Systems Garijo et al

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T12:45:37.119823Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-09T23:38:04.276214Z digest=sha256:44966e10b2963b8358531ec1fcefa94ac69e7d44d580006f0a31e9c871c7cf7d

Observation 2f09fc2e-c5f7-43e9-84a5-5a055a5d41b9 · outbound

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

Automatic Ontology Construction Using LLMs as an External Layer of Memory, Verification, and Planning for Hybrid Intelligent Systems From human experts to machines: An LLM supported approach to ontology and knowledge graph construction

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-11T14:06:02.990864Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-09T23:38:04.276214Z digest=sha256:230ff99b6283e237e2f6d914fa65a226523ad255a46535aee95edd33719010fd

Observation 3e2d972a-50ab-4813-a75c-bd57d07051b6 · outbound

This paper cites Ontology Generation using Large Language Models.

Automatic Ontology Construction Using LLMs as an External Layer of Memory, Verification, and Planning for Hybrid Intelligent Systems Ontology Generation using Large Language Models

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-11T14:06:02.943797Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-09T23:38:04.276214Z digest=sha256:e761357421a7f4dd53275886ddd23d96f91946f4248d6cc02a72921df1ae6a72

Observation bb7bd554-d83c-4b74-b486-99e3b09ecd15 · outbound

This paper cites Retrieval-Augmented Generation of Ontologies from Relational Databases.

Automatic Ontology Construction Using LLMs as an External Layer of Memory, Verification, and Planning for Hybrid Intelligent Systems Retrieval-Augmented Generation of Ontologies from Relational Databases

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-07-28T01:22:20.576482Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-09T23:38:04.276214Z digest=sha256:f3f0efef10ce503114711825e78098b4cb58ea56083c796fd18932e2e7e7e5c7

Observation ae70ec32-c5cf-4930-b97a-0bc4f94567c5 · outbound

This paper cites Ontology-grounded Automatic Knowledge Graph Construction by LLM under Wikidata schema.

Automatic Ontology Construction Using LLMs as an External Layer of Memory, Verification, and Planning for Hybrid Intelligent Systems Ontology-grounded Automatic Knowledge Graph Construction by LLM under Wikidata schema

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-11T14:06:02.962341Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-09T23:38:04.276214Z digest=sha256:5471a483713b2203e69b9c3bc19369ec97892d0d3c7f55bdde11d2b894c49601

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

This paper cites Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field.

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

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-07-21T02:21:15.881653Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-09T23:38:04.276214Z digest=sha256:b45c704a89daaa7aca3810a3419e2be239430b9ed1586553a96523b9632acde7

Observation 08fcb243-da6a-4a82-baee-23f853fd1dc2 · outbound

This paper cites Interfaze: The Future of AI is built on Task-Specific Small Models.

Automatic Ontology Construction Using LLMs as an External Layer of Memory, Verification, and Planning for Hybrid Intelligent Systems Interfaze: The Future of AI is built on Task-Specific Small Models

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-06-04T02:06:52.805880Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-09T23:38:04.276214Z digest=sha256:5d0acb3c7cba4afa3d125dbff144ba20b06b3cb7b295a895c9874e7b932fa95f

Observation 970d899e-0119-43be-9ade-42de793f10ad · outbound

This paper cites Small Language Models are the Future of Agentic AI.

Automatic Ontology Construction Using LLMs as an External Layer of Memory, Verification, and Planning for Hybrid Intelligent Systems Small Language Models are the Future of Agentic AI

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-16T11:55:51.260368Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-09T23:38:04.276214Z digest=sha256:0406484c0df0b82d4491e47355e727e574a7b08bd1fd9368df1eb1567a5b72fa

Observation e1c8e1f5-a274-47c3-939f-75dfa5518e41 · outbound

This paper cites LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks.

Automatic Ontology Construction Using LLMs as an External Layer of Memory, Verification, and Planning for Hybrid Intelligent Systems LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-11T14:06:02.955898Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-09T23:38:04.276214Z digest=sha256:99dc0c7b8788386caf63f57e972f9bc75c4352b99483fba104569520716d1bbc

Observation be3af99d-2998-4e51-9a3e-c0c8a0e13d36 · outbound

This paper cites Valmeekam et al.

Automatic Ontology Construction Using LLMs as an External Layer of Memory, Verification, and Planning for Hybrid Intelligent Systems Valmeekam et al

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T12:45:37.112432Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-09T23:38:04.276214Z digest=sha256:55edfb08b76491333e28221e8f9530fb88dfb4b65443ae0a7be6bff02ef7f96f

Observation 6ad4e65c-918c-47f3-bf18-669c8f3e5f9f · outbound

This paper cites When LLM Stops Understanding.

Automatic Ontology Construction Using LLMs as an External Layer of Memory, Verification, and Planning for Hybrid Intelligent Systems When LLM Stops Understanding

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-11T14:06:02.936499Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-09T23:38:04.276214Z digest=sha256:7eedaccc38127a52f3c485726f0fe3496f431ed841826bd46a7efbad69679120

Observation 288be190-dbc2-413b-8210-ebae6ffb22df · outbound

This paper cites From Text to Knowledge.

Automatic Ontology Construction Using LLMs as an External Layer of Memory, Verification, and Planning for Hybrid Intelligent Systems From Text to Knowledge

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-11T14:06:02.930490Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-09T23:38:04.276214Z digest=sha256:465c3e01dd165917313d4c0d5e90a447c78064686bd2f22b540cfdd5fe2e73db

Observation ba58ce23-036f-4d21-9c8f-ac0e1e73f520 · outbound

This paper cites Memory for AI and Robots.

Automatic Ontology Construction Using LLMs as an External Layer of Memory, Verification, and Planning for Hybrid Intelligent Systems Memory for AI and Robots

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-11T14:06:02.970199Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-09T23:38:04.276214Z digest=sha256:1d485ded97769393d81cde469e94e615ed359699d7a320b399d960d1ea7f6de6

Observation fdfed552-1a82-4951-a681-33433fabaac8 · outbound

This paper cites an unresolved cited work.

Automatic Ontology Construction Using LLMs as an External Layer of Memory, Verification, and Planning for Hybrid Intelligent Systems Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-05-23T12:45:37.109050Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-09T23:38:04.276214Z digest=sha256:0f130c1df9aebdad2f06cba5faa08efbc604f14b5519f82c91c4764cab9eb1bb

Pith citing papers

No inbound Pith citation observations are available.