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Paper Citation Record · LEDGER

AgentMap: Joint Equivalence and Subsumption Discovery for Ontology Matching

As of 14 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 2026-08-14T06:32:32.682623+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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  • verified fuzzy0
  • unresolved31
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

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:fac8e6dd2e9234c31e517e80153a34ec7b3da3d5fa8d841652d529edb2cfacfc

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=sha256:44e7a7c8c08e5baf89d2f7a7cf913af3d671aadc958c1eccc2a2e61b95febe1a

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=sha256:17a9e794595357b12077f390e5e8d563560a0b7fdecdc5fbaf4717129c78c359

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=sha256:85dff496c0c63d2230d9de611ceeffeca7afbf727829fc46d7a020763344ee06

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=sha256:122ae45e29b0bef640c040a2ba6ddf11d1d4b89999ac2adfd44218dda3f99e81

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:a678e717f7a0a98808a902e24b49c22f6bcc16af88c1e50c1503857f5379ca3c

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=sha256:0daac6d983a3759b559164b8aa3ea2565eef5bba6dd564d7f0505a93180a495b

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=sha256:952fb2ea4d3159e61fa088f72ec49d55024ea0370dbd672ea745fbc06f7eb580

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:a6758a11a5493a2703fcc76257bb3552e13d2fc08cd4c65791f8185d0726ccee

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=sha256:4981bdb4ba72d8416867362cf57361882e40166bdee41f477867d449da26efb0

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:c3f324ac3f46798277dbf3f4e41c632b442cd3be28e4773dbf62a03bba0e2606

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=sha256:4a7a6c982a3783496207fc43cf93a121620ab89a044b02c83f48ccd3b231bb49

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=sha256:8a291fbd9226fcdac11a47a87400b35ffea74a4bf988aaf3030185fd10c82517

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:b358408b7d587b2e76ae811f8b971e8858267357938d29a17ea7b9654d6075ef

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=sha256:40fd8d9c450088ee0e6a3f279e8710936dabf07be8972e2d0ce906445bf2c69c

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:bbddb6898865b29e429677b123291d0de4cc5d76c4a5c2daffc60c1be00e44ad

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:e569b5de285507ba0f0786302071c542dfd75069daed30d88689bbe0fc55da52

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=sha256:5da9fe07e3638a7a736599925b1ca977e5b61ace29609115c6ce5bad538379d3

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=sha256:744345a8aca6b86fbb8f3bef61c18ace77cce92a9706f4a79c33722303ce79d3

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:a6f4f283e05755df0e3950c60f82dfaa57903c7e25aa395cb977795de8bf8290

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:e8765b1112f6cc23232525b206891cc334ca95c443191d30d03807b447463398

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:bdcd9330cbd07782abfa9f5f0e4e08a8872f9d5aae12d326f5763c5dd1c252e0

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=sha256:9cd027a38e85ad559e803664164af1d07930aff66610f98f55d0d50722986896

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=sha256:1531de828dadbf078fcc9808a4660de92c9b8522790bc3b451f77c674803fc7d

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=sha256:99bb08ec97580e987b9ae4acae58c46db7beb4affac526beee2be1c80d864c20

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:bfe3f4ae34ce7fa2271ece44369abeb0dce2786cbf9d262b5912ddbfa8f715ef

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=sha256:38c5644f38b35cf916f8375eb14fa3f6b66b04c8e0bcc6ec21bdbcf75076c032

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:d8147f7d3f4690640942d9c25049d5a2ac83d7b3c771d2c69304716e37032a51

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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source=pdf_text observed=2026-07-30T11:18:01.184749Z digest=sha256:8575b63e3d81b963269d42e8ea79718673dafa4ce45d0a4513057843cd793cb3

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:ed988250e7e93fb056e106f3449dfcc99c359900dc35ba4fe531f4987de5634c

Pith citing papers

No inbound Pith citation observations are available.