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Paper Citation Record · LEDGER

AgentMap: Joint Equivalence and Subsumption Discovery for Ontology Matching

As of 9 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2607.27130.

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

pith.paper-citation-record.v1
2607.27130 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-30T11:18:01.264747Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

31 of 31 outbound references displayed

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  • unresolved31
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  • malformed identifier0
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External citation measurements

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Outbound references

Observation 8e5f2756-d086-4a27-816d-79b2b1515bcb · outbound

This paper cites Ontology matching using convolutional neural networks.

AgentMap: Joint Equivalence and Subsumption Discovery for Ontology Matching Ontology matching using convolutional neural networks

Reference 1

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source=pdf_text observed=2026-07-30T11:17:58.852450Z digest=sha256:10e443473dc158986d9a568a89b612c257aceb65b5a67e25a18007ac3c73a626

Observation 606535ea-d32d-4616-96c9-45ea336ce239 · outbound

This paper cites Snomed-ct: The advanced terminology and coding system for ehealth.

AgentMap: Joint Equivalence and Subsumption Discovery for Ontology Matching Snomed-ct: The advanced terminology and coding system for ehealth

Reference 2

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source=pdf_text observed=2026-07-30T11:17:58.979149Z digest=sha256:50d60f41fe1598fa8fa9b390dc7c798ec4d54e0375fed390d9b9df754c1184c1

Observation 1d857929-1710-4830-a79b-c34337e7f657 · outbound

This paper cites Contextual semantic embeddings for ontology subsumption prediction.World Wide Web, 26(5):2569–2591, September 2023.

AgentMap: Joint Equivalence and Subsumption Discovery for Ontology Matching Contextual semantic embeddings for ontology subsumption prediction.World Wide Web, 26(5):2569–2591, September 2023

Reference 3

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source=pdf_text observed=2026-07-30T11:17:59.069452Z digest=sha256:aed0de82d490dd02ebc2a37b01fc0591e3518f0bb54c68c67e4aa26df22ac734

Observation a07fe959-80d4-4deb-abef-fe87c6697c79 · outbound

This paper cites Foodon: a harmonized food ontology to increase global food traceability, quality control and data inte- gration.npj Science of Food, 2(1):23, 2018.

AgentMap: Joint Equivalence and Subsumption Discovery for Ontology Matching Foodon: a harmonized food ontology to increase global food traceability, quality control and data inte- gration.npj Science of Food, 2(1):23, 2018

Reference 4

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source=pdf_text observed=2026-07-30T11:17:59.128389Z digest=sha256:5808d598053f9c73aaf56b406aed8be664ecc3c17e14d61405905b950832cd4d

Observation 1773da19-40c5-47a3-9fff-a035abfaa1d6 · outbound

This paper cites The llama 3 herd of models, 2024.

AgentMap: Joint Equivalence and Subsumption Discovery for Ontology Matching The llama 3 herd of models, 2024

Reference 5

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source=pdf_text observed=2026-07-30T11:17:59.191377Z digest=sha256:c54d3c02c7a20d36c3c80696dcd23715b47dd87b1fcd51c274beadc5cd3d66a8

Observation aeb743da-e465-40d7-bff3-f9801a87015c · outbound

This paper cites Cruz, and Fran- cisco M.

AgentMap: Joint Equivalence and Subsumption Discovery for Ontology Matching Cruz, and Fran- cisco M

Reference 6

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source=pdf_text observed=2026-07-30T11:17:59.225922Z digest=sha256:e51ea957d3c6b8419fbed71b98cc156415fcf7f4edfefc314f1d3a75357808a2

Observation ab05e883-d446-4355-b366-b8d125e30baf · outbound

This paper cites LLMs4OM: Matching Ontologies with Large Language Models.

AgentMap: Joint Equivalence and Subsumption Discovery for Ontology Matching LLMs4OM: Matching Ontologies with Large Language Models

Reference 7

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source=pdf_text observed=2026-07-30T11:17:59.306455Z digest=sha256:c59572bc581c2944270c309136b03d917803876846c30baf4ca159e9ab1f7ffa

Observation 610722b8-fff5-4055-88eb-884295c1f114 · outbound

This paper cites BERTMap: A BERT-Based Ontology Alignment System.Proceedings of the AAAI Conference on Artificial Intelligence, 36(5):5684–5691, June 2022.

AgentMap: Joint Equivalence and Subsumption Discovery for Ontology Matching BERTMap: A BERT-Based Ontology Alignment System.Proceedings of the AAAI Conference on Artificial Intelligence, 36(5):5684–5691, June 2022

Reference 8

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source=pdf_text observed=2026-07-30T11:17:59.394743Z digest=sha256:56051b953ca346ac4fa21fbdc1e9deefd9794b29e98a826b45f6479d480331ef

Observation 227dbaaf-8ad2-4397-9b81-70b79569ac7b · outbound

This paper cites Exploring Large Language Models for Ontology Alignment.

AgentMap: Joint Equivalence and Subsumption Discovery for Ontology Matching Exploring Large Language Models for Ontology Alignment

Reference 9

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source=pdf_text observed=2026-07-30T11:17:59.478376Z digest=sha256:8420934bed58b36cd8eb6c477f4ddc11b8992835fc3c7ede5d31b0ae63343541

Observation 57ab1bb2-62ed-4e82-9969-02f2c61634ad · outbound

This paper cites Machine Learning-Friendly Biomedical Datasets for Equivalence and Subsumption Ontology Matching.

AgentMap: Joint Equivalence and Subsumption Discovery for Ontology Matching Machine Learning-Friendly Biomedical Datasets for Equivalence and Subsumption Ontology Matching

Reference 10

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source=pdf_text observed=2026-07-30T11:17:59.540776Z digest=sha256:42700bedd40e75de18e77b1e153b3402fab5253839fb6117e284a8bb159202af

Observation e7193330-e5ed-4c75-90db-b0265d853d72 · outbound

This paper cites Language models as hierarchy encoders.

AgentMap: Joint Equivalence and Subsumption Discovery for Ontology Matching Language models as hierarchy encoders

Reference 11

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source=pdf_text observed=2026-07-30T11:17:59.668248Z digest=sha256:b188ea8739e89b4f495f74b0251a1231953aeff59ac2b03cd08fb0043839bf6a

Observation a4250f4c-0b5d-4926-be85-1d5fab7df811 · outbound

This paper cites OLaLa: Ontology Matching with Large Language Models.

AgentMap: Joint Equivalence and Subsumption Discovery for Ontology Matching OLaLa: Ontology Matching with Large Language Models

Reference 12

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source=pdf_text observed=2026-07-30T11:17:59.729191Z digest=sha256:cc20469c27eb2eb57fb04f6179d0d4627e5fbb770ba4e7fcc047aefddc3cbe22

Observation 0799c21b-874c-4f06-91a8-0b0bb4e94c98 · outbound

This paper cites Jiang, Alexandre Sablayrolles, Antoine Roux, Arthur Mensch, Blanche Savary, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Emma Bou Hanna, Florian Bressand, et al.

AgentMap: Joint Equivalence and Subsumption Discovery for Ontology Matching Jiang, Alexandre Sablayrolles, Antoine Roux, Arthur Mensch, Blanche Savary, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Emma Bou Hanna, Florian Bressand, et al

Reference 13

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source=pdf_text observed=2026-07-30T11:17:59.784747Z digest=sha256:de5b8962a5f63fa6bf868f2f25b9e29c74d6f674aecf7d3724d499a89f81c29a

Observation c943c924-698a-4e70-a49f-a804bd2076b7 · outbound

This paper cites Logmap: Logic-based and scalable ontology matching.

AgentMap: Joint Equivalence and Subsumption Discovery for Ontology Matching Logmap: Logic-based and scalable ontology matching

Reference 14

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source=pdf_text observed=2026-07-30T11:17:59.874746Z digest=sha256:052703ada4ea0156fa2c848d711c2dff6f25e19b672d4ddb2a7b22a5cfafbad3

Observation 35e5b67e-21e0-4b5c-82e5-550189f52ba6 · outbound

This paper cites Magneto: Combining Small and Large Language Models for Schema Matching.

AgentMap: Joint Equivalence and Subsumption Discovery for Ontology Matching Magneto: Combining Small and Large Language Models for Schema Matching

Reference 15

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source=pdf_text observed=2026-07-30T11:17:59.961065Z digest=sha256:bbf32b89d4a8fd9e8b728672791d2eff13a6a06c71a3b7dca0dbd7be6b037f85

Observation 2e0bad14-9ed6-4b7a-b7c1-0e6207d1149f · outbound

This paper cites Large language models as oracles for ontology alignment.

AgentMap: Joint Equivalence and Subsumption Discovery for Ontology Matching Large language models as oracles for ontology alignment

Reference 16

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source=pdf_text observed=2026-07-30T11:18:00.024320Z digest=sha256:b5d1a49778b4ab89969e07516e6d906cd2c75f9d86be709f5686329ec31282a7

Observation 450994ff-97b1-47e2-b34b-9ed2111200a8 · outbound

This paper cites Self-refine: Iterative refine- ment with self-feedback.Advances in neural information processing systems, 36:46534–46594, 2023.

AgentMap: Joint Equivalence and Subsumption Discovery for Ontology Matching Self-refine: Iterative refine- ment with self-feedback.Advances in neural information processing systems, 36:46534–46594, 2023

Reference 17

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source=pdf_text observed=2026-07-30T11:18:00.133429Z digest=sha256:025653220dbd2163fdd12e04aab22afeaf48f7eccee6b74caf3bc1f660db651f

Observation 31bbd8d4-832b-40ff-bf4e-9405494af110 · outbound

This paper cites BioSTransformers for Biomedical Ontologies Alignment:.

AgentMap: Joint Equivalence and Subsumption Discovery for Ontology Matching BioSTransformers for Biomedical Ontologies Alignment:

Reference 18

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source=pdf_text observed=2026-07-30T11:18:00.181878Z digest=sha256:fe24de2975257a42bff4ffd398b82b0061291d5accb4b5da437df6da87c58dec

Observation ce93d2af-498e-4f18-b455-18dbe268b943 · outbound

This paper cites Openai agents sdk: Handoffs.https://openai.github.io/openai-agents-python/ handoffs/, 2025.

AgentMap: Joint Equivalence and Subsumption Discovery for Ontology Matching Openai agents sdk: Handoffs.https://openai.github.io/openai-agents-python/ handoffs/, 2025

Reference 19

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source=pdf_text observed=2026-07-30T11:18:00.239775Z digest=sha256:89efdf8c95b53eb39fb754fc35d46b41599a5baea7aa5f4302a682787e63d815

Observation 35164df5-cbbd-4af7-90e4-ab5c84cfba06 · outbound

This paper cites Ontol- ogy matching: A literature review.Expert Systems with Applications, 42(2):949–971, 2015.

AgentMap: Joint Equivalence and Subsumption Discovery for Ontology Matching Ontol- ogy matching: A literature review.Expert Systems with Applications, 42(2):949–971, 2015

Reference 20

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source=pdf_text observed=2026-07-30T11:18:00.297218Z digest=sha256:1e6d04bc77c67b2d38fd4c6655d93bbb52ebbc644937223842d507dcb1343614

Observation 0aa3ede7-4053-48f1-9173-c5bd3ca4bff9 · outbound

This paper cites BioGITOM: Matching Biomedical Ontologies with Graph Isomorphism Transformer.The VLDB Journal, 34(6):65, September 2025.

AgentMap: Joint Equivalence and Subsumption Discovery for Ontology Matching BioGITOM: Matching Biomedical Ontologies with Graph Isomorphism Transformer.The VLDB Journal, 34(6):65, September 2025

Reference 21

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source=pdf_text observed=2026-07-30T11:18:00.384221Z digest=sha256:242b82b6657f41b80a145ba417468ca2414a8a485477625110e2b80fa2d56ff7

Observation 7bdf9176-8cea-47ab-a18a-6b34f22af7c8 · outbound

This paper cites Genom: ontology matching with descrip- tion generation and large language models.World Wide Web, 29(3):29, 2026.

AgentMap: Joint Equivalence and Subsumption Discovery for Ontology Matching Genom: ontology matching with descrip- tion generation and large language models.World Wide Web, 29(3):29, 2026

Reference 22

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source=pdf_text observed=2026-07-30T11:18:00.467817Z digest=sha256:45fe2b7d1ecd58b19c7aa5b1b937d6eeaccfad479ccc62f3699e505cdca4ad88

Observation 66db9aff-a0d9-4bfb-802f-bff301a0f559 · outbound

This paper cites Springer Science & Business Media, 2013.

AgentMap: Joint Equivalence and Subsumption Discovery for Ontology Matching Springer Science & Business Media, 2013

Reference 23

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source=pdf_text observed=2026-07-30T11:18:00.588429Z digest=sha256:6a89d7bb21fc4ed9015f35310fde57ec504b6a8ef2202b0b692180f95c6dd346

Observation 8c2a2553-9d5f-4c13-b492-fecad9fe568a · outbound

This paper cites Chi, Quoc Le, and Denny Zhou.

AgentMap: Joint Equivalence and Subsumption Discovery for Ontology Matching Chi, Quoc Le, and Denny Zhou

Reference 24

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source=pdf_text observed=2026-07-30T11:18:00.683087Z digest=sha256:7a064e157cb008493c3ef69b3c611e2a2bfccf0660293be6b110871773e4746f

Observation 6fd5af0a-e476-4c15-a35a-d16655245ace · outbound

This paper cites Qwen2.5 Technical Report.

AgentMap: Joint Equivalence and Subsumption Discovery for Ontology Matching Qwen2.5 Technical Report

Reference 25

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source=pdf_text observed=2026-07-30T11:18:00.783943Z digest=sha256:2ddcc40af3225df3dfa2661341a6b6b11a3399c31a88dbb4d7444a51574f4434

Observation 64611517-366b-4905-a53e-49124659fbbc · outbound

This paper cites Language models as ontology encoders.

AgentMap: Joint Equivalence and Subsumption Discovery for Ontology Matching Language models as ontology encoders

Reference 26

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source=pdf_text observed=2026-07-30T11:18:00.845869Z digest=sha256:657365aa28f59fbbde217c985dcfcf49d0f3f32a3ec7c01eab0ec87c0de88000

Observation fcb6f593-7258-494c-9369-af215042e445 · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

AgentMap: Joint Equivalence and Subsumption Discovery for Ontology Matching ReAct: Synergizing Reasoning and Acting in Language Models

Reference 27

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source=pdf_text observed=2026-07-30T11:18:00.924748Z digest=sha256:fad8712c2f241cb5bd8c75070e3e3be5ac3ddd1327625ca33dfe03cf1c8f4b38

Observation 243b24fb-2735-42d8-a0c0-58656039646c · outbound

This paper cites an unresolved cited work.

AgentMap: Joint Equivalence and Subsumption Discovery for Ontology Matching Unresolved cited work

Reference 28

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Observation 66f3d55e-b93a-4673-a307-e9652a3f5d00 · outbound

This paper cites an unresolved cited work.

AgentMap: Joint Equivalence and Subsumption Discovery for Ontology Matching Unresolved cited work

Reference 29

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source=pdf_text observed=2026-07-30T11:18:01.074747Z digest=sha256:c83052d619e14ae50bb8dd63a92b31cff7b180bc4fea951c88121e51051c60c8

Observation ee1c417e-48c2-49b1-8814-c5718dbe39c2 · outbound

This paper cites an unresolved cited work.

AgentMap: Joint Equivalence and Subsumption Discovery for Ontology Matching Unresolved cited work

Reference 30

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Observation 158d3b1d-bc5a-4eeb-9391-32115d6fdafe · outbound

This paper cites candidate_id.

AgentMap: Joint Equivalence and Subsumption Discovery for Ontology Matching candidate_id

Reference 31

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source=pdf_text observed=2026-07-30T11:18:01.264747Z digest=sha256:e6a8a2a10145aa2da4fc951222b7bfae2faf64b74ea656686877a981bdeca9fa

Pith citing papers

No inbound Pith citation observations are available.