Paper Citation Record · LEDGER

Position Paper: Metadata Enrichment Model: Integrating Neural Networks and Semantic Knowledge Graphs for Cultural Heritage Applications

As of 17 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 1 inbound Pith citation observation for arXiv:2505.23543.

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

pith.paper-citation-record.v1
2505.23543 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:46:00.806686Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-25T07:23:59.599434Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T07:25:28.968107Z

Reference resolution

47 of 47 outbound references displayed

verified exact3
verified fuzzy28
unresolved16
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation afc0bf79-091c-4e37-b22e-bf2269b5f8f4 · outbound

This paper cites van Hooland and R.

Position Paper: Metadata Enrichment Model: Integrating Neural Networks and Semantic Knowledge Graphs for Cultural Heritage Applications van Hooland and R

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:07.402126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7c9e95b2-3e07-4501-b92e-b6602b554061 · outbound

This paper cites Knowledge graphs for cultural heritage and digital humanities,.

Position Paper: Metadata Enrichment Model: Integrating Neural Networks and Semantic Knowledge Graphs for Cultural Heritage Applications Knowledge graphs for cultural heritage and digital humanities,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T12:45:55.322857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72f37792-6981-4746-8b0f-a4910d053912 · outbound

This paper cites Dublin Core Metadata for Resource Discovery,.

Position Paper: Metadata Enrichment Model: Integrating Neural Networks and Semantic Knowledge Graphs for Cultural Heritage Applications Dublin Core Metadata for Resource Discovery,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:07.294556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation de9e4ce4-7499-443c-b542-450681253b81 · outbound

This paper cites Marc 21 format for bibliographic data,.

Position Paper: Metadata Enrichment Model: Integrating Neural Networks and Semantic Knowledge Graphs for Cultural Heritage Applications Marc 21 format for bibliographic data,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:07.194994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4c7b3cfd-1da8-490e-9a6d-75f0d9d9aacf · outbound

This paper cites The CIDOC conceptual reference model: An ontological approach to semantic interoperability of metadata,.

Position Paper: Metadata Enrichment Model: Integrating Neural Networks and Semantic Knowledge Graphs for Cultural Heritage Applications The CIDOC conceptual reference model: An ontological approach to semantic interoperability of metadata,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:07.054832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2c2e00f0-1d9c-4dc2-a4c6-17d6dcb46b77 · outbound

This paper cites The semantic web,.

Position Paper: Metadata Enrichment Model: Integrating Neural Networks and Semantic Knowledge Graphs for Cultural Heritage Applications The semantic web,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:06.844296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f35990a8-6781-4ea6-ac35-687d9f77444f · outbound

This paper cites Graph neural networks in vision-language image understanding: a survey: Graph neural networks in vision-language image understanding: a survey,.

Position Paper: Metadata Enrichment Model: Integrating Neural Networks and Semantic Knowledge Graphs for Cultural Heritage Applications Graph neural networks in vision-language image understanding: a survey: Graph neural networks in vision-language image understanding: a survey,

Reference 7

Resolution: verified exact; doi, observed 2026-08-07T12:46:01.362528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation cb8a30de-617e-4387-b233-c1fca26180f3 · outbound

This paper cites YOLOv11: An Overview of the Key Architectural Enhancements.

Position Paper: Metadata Enrichment Model: Integrating Neural Networks and Semantic Knowledge Graphs for Cultural Heritage Applications YOLOv11: An Overview of the Key Architectural Enhancements

Reference 8

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Source-reported events for the cited work

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Observation ea0cba83-b449-4d10-880c-7948f8321afa · outbound

This paper cites Detectron2,.

Position Paper: Metadata Enrichment Model: Integrating Neural Networks and Semantic Knowledge Graphs for Cultural Heritage Applications Detectron2,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T12:45:56.183965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3bdb9156-9729-4b37-9ad9-194510492e75 · outbound

This paper cites Deep High-Resolution Representation Learning for Visual Recognition.

Position Paper: Metadata Enrichment Model: Integrating Neural Networks and Semantic Knowledge Graphs for Cultural Heritage Applications Deep High-Resolution Representation Learning for Visual Recognition

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T12:45:56.303662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c592537-a69d-4e7e-85dd-434dac88d83d · outbound

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

Position Paper: Metadata Enrichment Model: Integrating Neural Networks and Semantic Knowledge Graphs for Cultural Heritage Applications On the Opportunities and Risks of Foundation Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T12:45:56.428224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4cf0cacb-9756-47c2-8dc3-f48987ebabdb · outbound

This paper cites A Review on Deep Learning Techniques Applied to Semantic Segmentation.

Position Paper: Metadata Enrichment Model: Integrating Neural Networks and Semantic Knowledge Graphs for Cultural Heritage Applications A Review on Deep Learning Techniques Applied to Semantic Segmentation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T12:45:56.566326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f724c76e-a50f-4cc1-9c78-34fe326c94bd · outbound

This paper cites Gold Panning in Vocabulary: An Adaptive Method for Vocabulary Expansion of Domain-Specific LLMs.

Position Paper: Metadata Enrichment Model: Integrating Neural Networks and Semantic Knowledge Graphs for Cultural Heritage Applications Gold Panning in Vocabulary: An Adaptive Method for Vocabulary Expansion of Domain-Specific LLMs

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T12:45:56.664013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2991745-890f-40b6-b5b6-d56e7026f767 · outbound

This paper cites Knowledge Graph-Enhanced Large Language Models via Path Selection.

Position Paper: Metadata Enrichment Model: Integrating Neural Networks and Semantic Knowledge Graphs for Cultural Heritage Applications Knowledge Graph-Enhanced Large Language Models via Path Selection

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T12:45:56.794779Z

Source-reported events for the cited work

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Observation 55695094-395d-422a-8327-80e961c49953 · outbound

This paper cites Europeana data model primer,.

Position Paper: Metadata Enrichment Model: Integrating Neural Networks and Semantic Knowledge Graphs for Cultural Heritage Applications Europeana data model primer,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:06.659046Z

Source-reported events for the cited work

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Observation 793094bd-280b-4d5e-9e24-b978e83300a1 · outbound

This paper cites Rethinking Atrous Convolution for Semantic Image Segmentation.

Position Paper: Metadata Enrichment Model: Integrating Neural Networks and Semantic Knowledge Graphs for Cultural Heritage Applications Rethinking Atrous Convolution for Semantic Image Segmentation

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6cf5fdf-5f00-43d1-9b5e-d391acf7d69e · outbound

This paper cites Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey.

Position Paper: Metadata Enrichment Model: Integrating Neural Networks and Semantic Knowledge Graphs for Cultural Heritage Applications Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T12:45:57.434797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1bfbf3d-e3f2-4edd-824f-3c9abccf73e2 · outbound

This paper cites An effective approach to text detection and recognition in degraded historical documents,.

Position Paper: Metadata Enrichment Model: Integrating Neural Networks and Semantic Knowledge Graphs for Cultural Heritage Applications An effective approach to text detection and recognition in degraded historical documents,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:06.520903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6faf3db2-4246-4673-9f85-82192e69d6b4 · outbound

This paper cites Wikidata: A free collaborative knowl- edgebase,.

Position Paper: Metadata Enrichment Model: Integrating Neural Networks and Semantic Knowledge Graphs for Cultural Heritage Applications Wikidata: A free collaborative knowl- edgebase,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:06.343694Z

Source-reported events for the cited work

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Observation 7c72700f-ae5a-4ff0-bd73-141520d1b2be · outbound

This paper cites The fair guiding principles for scientific data management,.

Position Paper: Metadata Enrichment Model: Integrating Neural Networks and Semantic Knowledge Graphs for Cultural Heritage Applications The fair guiding principles for scientific data management,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:06.128578Z

Source-reported events for the cited work

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Observation 7edbc933-73df-406b-ba38-4b1c2a55a1be · outbound

This paper cites Jagiellonian digital library,.

Position Paper: Metadata Enrichment Model: Integrating Neural Networks and Semantic Knowledge Graphs for Cultural Heritage Applications Jagiellonian digital library,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:05.944632Z

Source-reported events for the cited work

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Observation 0fa22e03-5992-4e18-8a61-2e80c688b891 · outbound

This paper cites EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks.

Position Paper: Metadata Enrichment Model: Integrating Neural Networks and Semantic Knowledge Graphs for Cultural Heritage Applications EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Reference 23

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Source-reported events for the cited work

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Observation 9d4bef58-5780-4d3f-8742-482fa099dae9 · outbound

This paper cites Exploring entity recognition and disambiguation for cultural heritage collections,.

Position Paper: Metadata Enrichment Model: Integrating Neural Networks and Semantic Knowledge Graphs for Cultural Heritage Applications Exploring entity recognition and disambiguation for cultural heritage collections,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:05.754411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8be854aa-04fc-4412-a166-f98ae4cd3192 · outbound

This paper cites Deep residual learning for image recognition,.

Position Paper: Metadata Enrichment Model: Integrating Neural Networks and Semantic Knowledge Graphs for Cultural Heritage Applications Deep residual learning for image recognition,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:05.601938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 01af965b-54ec-440d-ba8c-9a8555e1356d · outbound

This paper cites Linked Data - Design Issues,.

Position Paper: Metadata Enrichment Model: Integrating Neural Networks and Semantic Knowledge Graphs for Cultural Heritage Applications Linked Data - Design Issues,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:05.454490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2ff67a96-6f3c-4c70-a514-f93e178ef6a3 · outbound

This paper cites Think culture: Europeana.eu from concept to construction,.

Position Paper: Metadata Enrichment Model: Integrating Neural Networks and Semantic Knowledge Graphs for Cultural Heritage Applications Think culture: Europeana.eu from concept to construction,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:05.192250Z

Source-reported events for the cited work

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Observation bce8837b-a963-4ddf-8b1c-eb7b641dbeea · outbound

This paper cites Knowledge graph visualization interface for digital heritage collections: Design issues and recommendations,.

Position Paper: Metadata Enrichment Model: Integrating Neural Networks and Semantic Knowledge Graphs for Cultural Heritage Applications Knowledge graph visualization interface for digital heritage collections: Design issues and recommendations,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:05.000761Z

Source-reported events for the cited work

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Observation ab4d9629-b075-4e5c-b9c9-b0d4d8c5faa1 · outbound

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Position Paper: Metadata Enrichment Model: Integrating Neural Networks and Semantic Knowledge Graphs for Cultural Heritage Applications Ollama: Run Large Language Models Locally,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:04.806623Z

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Observation 1dc24d69-8178-4f18-86bf-99998afc44b5 · outbound

This paper cites DeepSeek v3: Advanced AI Language Model,.

Position Paper: Metadata Enrichment Model: Integrating Neural Networks and Semantic Knowledge Graphs for Cultural Heritage Applications DeepSeek v3: Advanced AI Language Model,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:04.631828Z

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Observation c4f97f97-b103-4d5e-938e-d43424b41799 · outbound

This paper cites Knowledge graphs for enhancing large language models in entity disambiguation,.

Position Paper: Metadata Enrichment Model: Integrating Neural Networks and Semantic Knowledge Graphs for Cultural Heritage Applications Knowledge graphs for enhancing large language models in entity disambiguation,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:04.225934Z

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Observation 07ce292e-4376-4a4a-a112-d7e41a91ff63 · outbound

This paper cites Better together: Enhancing generative knowledge graph completion with language models and neighborhood information,.

Position Paper: Metadata Enrichment Model: Integrating Neural Networks and Semantic Knowledge Graphs for Cultural Heritage Applications Better together: Enhancing generative knowledge graph completion with language models and neighborhood information,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:04.005447Z

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Observation 0af0ac35-6085-481e-b8b5-9a549f283fda · outbound

This paper cites Enhancing entity alignment between wikidata and artgraph using llms,.

Position Paper: Metadata Enrichment Model: Integrating Neural Networks and Semantic Knowledge Graphs for Cultural Heritage Applications Enhancing entity alignment between wikidata and artgraph using llms,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:03.862976Z

Source-reported events for the cited work

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Observation 6c95d968-b745-410d-ae18-8ced5a8cb5d3 · outbound

This paper cites Using large language models for knowledge engineering (llmke): A case study on wikidata,.

Position Paper: Metadata Enrichment Model: Integrating Neural Networks and Semantic Knowledge Graphs for Cultural Heritage Applications Using large language models for knowledge engineering (llmke): A case study on wikidata,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:03.449456Z

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Observation 68ef99fa-b9c7-4669-8faf-c186a03cfe7f · outbound

This paper cites Knowledge Graph Construction Using Large Language Models,.

Position Paper: Metadata Enrichment Model: Integrating Neural Networks and Semantic Knowledge Graphs for Cultural Heritage Applications Knowledge Graph Construction Using Large Language Models,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:03.280971Z

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Observation aa5e897a-5d6e-4eb3-a937-9254fd6174c9 · outbound

This paper cites Available: https://api.semanticscholar.org/CorpusID: 263913092.

Position Paper: Metadata Enrichment Model: Integrating Neural Networks and Semantic Knowledge Graphs for Cultural Heritage Applications Available: https://api.semanticscholar.org/CorpusID: 263913092

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:03.626145Z

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Observation 097f8d0a-295b-4854-aced-503322f11ef2 · outbound

This paper cites Separate and locate: Rethink the text in text-based visual question answering,.

Position Paper: Metadata Enrichment Model: Integrating Neural Networks and Semantic Knowledge Graphs for Cultural Heritage Applications Separate and locate: Rethink the text in text-based visual question answering,

Reference 37

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Observation 9d711047-09d3-4113-a9bb-79674c68cf3a · outbound

This paper cites Locate then generate: bridging vision and language with bounding box for scene-text vqa,.

Position Paper: Metadata Enrichment Model: Integrating Neural Networks and Semantic Knowledge Graphs for Cultural Heritage Applications Locate then generate: bridging vision and language with bounding box for scene-text vqa,

Reference 38

Resolution: verified exact; doi, observed 2026-08-07T12:46:01.107389Z

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Observation 11845a2d-d04c-4444-aed3-7b8e2d422512 · outbound

This paper cites Accelerating knowledge graph and ontology engineering with large language models,.

Position Paper: Metadata Enrichment Model: Integrating Neural Networks and Semantic Knowledge Graphs for Cultural Heritage Applications Accelerating knowledge graph and ontology engineering with large language models,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:03.126197Z

Source-reported events for the cited work

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Observation ae00ee01-7418-4c96-8a37-1ea6cfb34483 · outbound

This paper cites Knowledge graph- enhanced large language models via path selection,.

Position Paper: Metadata Enrichment Model: Integrating Neural Networks and Semantic Knowledge Graphs for Cultural Heritage Applications Knowledge graph- enhanced large language models via path selection,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:02.773812Z

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Observation 5b03b852-da92-416e-86bf-fe19e6216977 · outbound

This paper cites Handwriting Recognition in Historical Documents with Multimodal LLM.

Position Paper: Metadata Enrichment Model: Integrating Neural Networks and Semantic Knowledge Graphs for Cultural Heritage Applications Handwriting Recognition in Historical Documents with Multimodal LLM

Reference 41

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Observation b826fd1d-08bf-426e-87ac-3bea3034a193 · outbound

This paper cites Publishing the british national bibliography as linked open data,.

Position Paper: Metadata Enrichment Model: Integrating Neural Networks and Semantic Knowledge Graphs for Cultural Heritage Applications Publishing the british national bibliography as linked open data,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:02.944293Z

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Observation 20bc4778-609a-4956-95ee-d0b431645188 · outbound

This paper cites LongCite: Enabling LLMs to Generate Fine-grained Citations in Long-context QA.

Position Paper: Metadata Enrichment Model: Integrating Neural Networks and Semantic Knowledge Graphs for Cultural Heritage Applications LongCite: Enabling LLMs to Generate Fine-grained Citations in Long-context QA

Reference 43

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This paper cites Refining Input Guardrails: Enhancing LLM-as-a-Judge Efficiency Through Chain-of-Thought Fine-Tuning and Alignment.

Position Paper: Metadata Enrichment Model: Integrating Neural Networks and Semantic Knowledge Graphs for Cultural Heritage Applications Refining Input Guardrails: Enhancing LLM-as-a-Judge Efficiency Through Chain-of-Thought Fine-Tuning and Alignment

Reference 44

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Observation eac8a82f-1a65-428e-99c3-82b79216bbb9 · outbound

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Position Paper: Metadata Enrichment Model: Integrating Neural Networks and Semantic Knowledge Graphs for Cultural Heritage Applications Enabling large language models to generate text with citations,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:02.591277Z

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Observation 38182ac8-5946-41f6-a0b1-e2786bee9161 · outbound

This paper cites RuleR: Improving LLM Controllability by Rule-based Data Recycling.

Position Paper: Metadata Enrichment Model: Integrating Neural Networks and Semantic Knowledge Graphs for Cultural Heritage Applications RuleR: Improving LLM Controllability by Rule-based Data Recycling

Reference 48

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Observation 301baf3b-a0aa-44be-b727-1f2596b17519 · outbound

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Position Paper: Metadata Enrichment Model: Integrating Neural Networks and Semantic Knowledge Graphs for Cultural Heritage Applications GPT-4 Technical Report

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T12:45:57.347678Z

Source-reported events for the cited work

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Observation 71d93b94-e394-4567-a0f3-a6542aa41f52 · outbound

This paper cites Available: https://github.com/deepseek-ai/DeepSeek-V3.

Position Paper: Metadata Enrichment Model: Integrating Neural Networks and Semantic Knowledge Graphs for Cultural Heritage Applications Available: https://github.com/deepseek-ai/DeepSeek-V3

Reference 2025

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:04.427054Z

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Pith citing papers

Observation 165bbea1-6c4b-489b-880b-a84abf386ee6 · inbound

MUSEKG: A Knowledge Graph Over Museum Collections cites this paper.

MUSEKG: A Knowledge Graph Over Museum Collections Position Paper: Metadata Enrichment Model: Integrating Neural Networks and Semantic Knowledge Graphs for Cultural Heritage Applications

Reference 7

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Source-reported events for the cited work

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