Paper Citation Record · LEDGER

FuDoBa: Fusing Document and Knowledge Graph-based Representations with Bayesian Optimisation

As of 22 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2507.06622.

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

pith.paper-citation-record.v1
2507.06622 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

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measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

46 of 46 outbound references displayed

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verified fuzzy15
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External citation measurements

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Outbound references

Observation 37b82376-8c71-4750-9fe1-0fd7b52fa4aa · outbound

This paper cites In: Vlachos, A., Augenstein, I.

FuDoBa: Fusing Document and Knowledge Graph-based Representations with Bayesian Optimisation In: Vlachos, A., Augenstein, I

Reference 1

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Observation 8dd3a6f3-2b76-47f9-b900-c6db91b774cc · outbound

This paper cites In: Burstein, J., Doran, C., Solorio, T.

FuDoBa: Fusing Document and Knowledge Graph-based Representations with Bayesian Optimisation In: Burstein, J., Doran, C., Solorio, T

Reference 2

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Observation 2f9a4f2c-dc53-43ce-b640-884cba174696 · outbound

This paper cites an unresolved cited work.

FuDoBa: Fusing Document and Knowledge Graph-based Representations with Bayesian Optimisation Unresolved cited work

Reference 3

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Observation 7239fad7-ebe4-4ea8-8a18-620878a1ac9d · outbound

This paper cites In: Inui, K., Jiang, J., Ng, V., Wan, X.

FuDoBa: Fusing Document and Knowledge Graph-based Representations with Bayesian Optimisation In: Inui, K., Jiang, J., Ng, V., Wan, X

Reference 4

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Observation 35e50554-46d1-45d1-81a9-9caadba56ddf · outbound

This paper cites In: First Conference on Language Modeling (2024).

FuDoBa: Fusing Document and Knowledge Graph-based Representations with Bayesian Optimisation In: First Conference on Language Modeling (2024)

Reference 5

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Observation 32e5508c-cb3e-43d2-9d61-8274ee735b49 · outbound

This paper cites IEEE Internet of Things Journal9(12), 9205–9213 (2022) https://doi.org/10.1109/JIOT.2021.3093065.

FuDoBa: Fusing Document and Knowledge Graph-based Representations with Bayesian Optimisation IEEE Internet of Things Journal9(12), 9205–9213 (2022) https://doi.org/10.1109/JIOT.2021.3093065

Reference 6

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Observation ed70c5a3-62bf-49da-970f-b9aadd503d12 · outbound

This paper cites Neurocomputing496, 208–226 (2022) https://doi.org/10.1016/ j.neucom.2022.01.096.

FuDoBa: Fusing Document and Knowledge Graph-based Representations with Bayesian Optimisation Neurocomputing496, 208–226 (2022) https://doi.org/10.1016/ j.neucom.2022.01.096

Reference 7

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Observation 9d2cc482-2692-40d0-89b7-3813adb21472 · outbound

This paper cites Machine Learning (2021) https://doi.org/10.1007/s10994-021-05968-x.

FuDoBa: Fusing Document and Knowledge Graph-based Representations with Bayesian Optimisation Machine Learning (2021) https://doi.org/10.1007/s10994-021-05968-x

Reference 8

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Observation 9d685880-8591-400d-933a-efc7cb53f0d7 · outbound

This paper cites In: Discovery Science: 27th International Conference, DS 2024, Pisa, Italy, October 14–16, 2024, Proceedings, Part I, pp.

FuDoBa: Fusing Document and Knowledge Graph-based Representations with Bayesian Optimisation In: Discovery Science: 27th International Conference, DS 2024, Pisa, Italy, October 14–16, 2024, Proceedings, Part I, pp

Reference 9

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Observation f4775ccd-890a-46c0-9b78-82e86fdbb817 · outbound

This paper cites In: Hajiˇ c, J., Carberry, S., Clark, S., Nivre, J.

FuDoBa: Fusing Document and Knowledge Graph-based Representations with Bayesian Optimisation In: Hajiˇ c, J., Carberry, S., Clark, S., Nivre, J

Reference 10

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Observation ff5e228c-0796-40bb-a3e2-ae49d074a9f1 · outbound

This paper cites Transactions of the Association for Computational Linguistics2, 231–244 (2014) https://doi.org/10.1162/tacl a 00179.

FuDoBa: Fusing Document and Knowledge Graph-based Representations with Bayesian Optimisation Transactions of the Association for Computational Linguistics2, 231–244 (2014) https://doi.org/10.1162/tacl a 00179

Reference 12

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This paper cites AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data.

FuDoBa: Fusing Document and Knowledge Graph-based Representations with Bayesian Optimisation AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 13

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This paper cites In: Proceedings of the 31th International Conference on Machine Learning, ICML 2014, Beijing, China, 21-26 June 2014.

FuDoBa: Fusing Document and Knowledge Graph-based Representations with Bayesian Optimisation In: Proceedings of the 31th International Conference on Machine Learning, ICML 2014, Beijing, China, 21-26 June 2014

Reference 14

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Observation fc784d09-a455-438e-8914-ad15d0e29a82 · outbound

This paper cites In: Moens, M.-F., Huang, X., Specia, L., Yih, S.W.-t.

FuDoBa: Fusing Document and Knowledge Graph-based Representations with Bayesian Optimisation In: Moens, M.-F., Huang, X., Specia, L., Yih, S.W.-t

Reference 15

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Observation c740d845-33d6-42fb-8b6e-c378bfae27d0 · outbound

This paper cites In: Ku, L.-W., Martins, A., Srikumar, V.

FuDoBa: Fusing Document and Knowledge Graph-based Representations with Bayesian Optimisation In: Ku, L.-W., Martins, A., Srikumar, V

Reference 16

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Observation 67b9d1e3-2d0c-47b2-b3e2-7f5090abc2b8 · outbound

This paper cites Boosted Neural Decoders: Achieving Extreme Reliability of LDPC Codes for 6G Networks.

FuDoBa: Fusing Document and Knowledge Graph-based Representations with Bayesian Optimisation Boosted Neural Decoders: Achieving Extreme Reliability of LDPC Codes for 6G Networks

Reference 17

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Observation c431018c-32d0-4288-85bb-eb9ad9294ecf · outbound

This paper cites MAGNET: Augmenting Generative Decoders with Representation Learning and Infilling Capabilities.

FuDoBa: Fusing Document and Knowledge Graph-based Representations with Bayesian Optimisation MAGNET: Augmenting Generative Decoders with Representation Learning and Infilling Capabilities

Reference 18

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This paper cites In: Ku, L.-W., Martins, A., Sriku- mar, V.

FuDoBa: Fusing Document and Knowledge Graph-based Representations with Bayesian Optimisation In: Ku, L.-W., Martins, A., Sriku- mar, V

Reference 19

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FuDoBa: Fusing Document and Knowledge Graph-based Representations with Bayesian Optimisation Unresolved cited work

Reference 20

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Observation fb0df805-76a5-4981-baa0-8325929075e1 · outbound

This paper cites Computer Speech & Language65, 101104 (2021) https://doi.org/10.1016/j.csl.2020.101104.

FuDoBa: Fusing Document and Knowledge Graph-based Representations with Bayesian Optimisation Computer Speech & Language65, 101104 (2021) https://doi.org/10.1016/j.csl.2020.101104

Reference 21

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Observation 69f21bdc-c3e2-45bb-8222-57b5d2991a87 · outbound

This paper cites Enriching BERT with Knowledge Graph Embeddings for Document Classification.

FuDoBa: Fusing Document and Knowledge Graph-based Representations with Bayesian Optimisation Enriching BERT with Knowledge Graph Embeddings for Document Classification

Reference 22

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Observation 2e624be3-69f8-41d9-a820-993ba3de8afe · outbound

This paper cites In: Proceedings of the 5th ACM International Conference on AI in Finance.

FuDoBa: Fusing Document and Knowledge Graph-based Representations with Bayesian Optimisation In: Proceedings of the 5th ACM International Conference on AI in Finance

Reference 23

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Observation da2b68e7-29dd-401a-b270-92eab0ca87c0 · outbound

This paper cites In: Inui, K., Jiang, J., Ng, V., Wan, X.

FuDoBa: Fusing Document and Knowledge Graph-based Representations with Bayesian Optimisation In: Inui, K., Jiang, J., Ng, V., Wan, X

Reference 24

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This paper cites In: Proceedings of the 8th Interna- tional Conference on Database Theory.

FuDoBa: Fusing Document and Knowledge Graph-based Representations with Bayesian Optimisation In: Proceedings of the 8th Interna- tional Conference on Database Theory

Reference 25

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This paper cites In: 2021 IEEE International Conference on Data Mining (ICDM), pp.

FuDoBa: Fusing Document and Knowledge Graph-based Representations with Bayesian Optimisation In: 2021 IEEE International Conference on Data Mining (ICDM), pp

Reference 26

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This paper cites In: 2012 UKSim 14th International Conference on Computer Modelling and Simulation, pp.

FuDoBa: Fusing Document and Knowledge Graph-based Representations with Bayesian Optimisation In: 2012 UKSim 14th International Conference on Computer Modelling and Simulation, pp

Reference 27

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This paper cites Bioinformatics36(1), 250–256 (2020).

FuDoBa: Fusing Document and Knowledge Graph-based Representations with Bayesian Optimisation Bioinformatics36(1), 250–256 (2020)

Reference 28

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Observation 9158ea97-0ee1-4f80-b38b-09b1994fada7 · outbound

This paper cites Proceedings of the IEEE103(9), 1449–1477 (2015) 21.

FuDoBa: Fusing Document and Knowledge Graph-based Representations with Bayesian Optimisation Proceedings of the IEEE103(9), 1449–1477 (2015) 21

Reference 29

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This paper cites Computers, Materials and Continua80(1), 1–35 (2024) https://doi.org/10.32604/cmc.2024.

FuDoBa: Fusing Document and Knowledge Graph-based Representations with Bayesian Optimisation Computers, Materials and Continua80(1), 1–35 (2024) https://doi.org/10.32604/cmc.2024

Reference 30

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Observation 4f151d78-0001-4a48-bed2-1561e6526482 · outbound

This paper cites In: Singh, S.P., Markovitch, S.

FuDoBa: Fusing Document and Knowledge Graph-based Representations with Bayesian Optimisation In: Singh, S.P., Markovitch, S

Reference 31

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Observation 0351201b-169b-43b4-aab4-0a77bb64d822 · outbound

This paper cites In: 7th International Conference on Learning Representations, ICLR 2019, New Orleans, LA, USA, May 6-9, 2019.

FuDoBa: Fusing Document and Knowledge Graph-based Representations with Bayesian Optimisation In: 7th International Conference on Learning Representations, ICLR 2019, New Orleans, LA, USA, May 6-9, 2019

Reference 32

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This paper cites IEEE Transactions on Automatic Control25(2), 164–176 (1980) https://doi.org/10.1109/TAC.1980.1102314.

FuDoBa: Fusing Document and Knowledge Graph-based Representations with Bayesian Optimisation IEEE Transactions on Automatic Control25(2), 164–176 (1980) https://doi.org/10.1109/TAC.1980.1102314

Reference 33

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This paper cites In: Bartlett, P.L., Pereira, F.C.N., Burges, C.J.C., Bottou, L., Weinberger, K.Q.

FuDoBa: Fusing Document and Knowledge Graph-based Representations with Bayesian Optimisation In: Bartlett, P.L., Pereira, F.C.N., Burges, C.J.C., Bottou, L., Weinberger, K.Q

Reference 34

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FuDoBa: Fusing Document and Knowledge Graph-based Representations with Bayesian Optimisation The MIT Press, ??? (2006)

Reference 35

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FuDoBa: Fusing Document and Knowledge Graph-based Representations with Bayesian Optimisation The MIT Press, ??? (2005)

Reference 36

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This paper cites In: Webber, B., Cohn, T., He, Y., Liu, Y.

FuDoBa: Fusing Document and Knowledge Graph-based Representations with Bayesian Optimisation In: Webber, B., Cohn, T., He, Y., Liu, Y

Reference 37

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FuDoBa: Fusing Document and Knowledge Graph-based Representations with Bayesian Optimisation Unresolved cited work

Reference 38

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Observation fab25fe3-ba08-4076-b25d-7eb9090f74a7 · outbound

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FuDoBa: Fusing Document and Knowledge Graph-based Representations with Bayesian Optimisation In: Calzolari, N., B´ echet, F., Blache, P., Choukri, K., Cieri, C., Declerck, T., Goggi, S., Isahara, H., Maegaard, B., Mariani, J., Mazo, H., Odijk, J., Piperidis, S

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:06:10.071518Z

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Observation 0e71509c-b644-44e8-b87d-2b0c22e3f02a · outbound

This paper cites In: Advances in Neural Information Pro- cessing Systems 37 (NeurIPS 2024) (2024).

FuDoBa: Fusing Document and Knowledge Graph-based Representations with Bayesian Optimisation In: Advances in Neural Information Pro- cessing Systems 37 (NeurIPS 2024) (2024)

Reference 40

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Observation 3fbdb0c8-f22f-4944-a59b-8acd57262f29 · outbound

This paper cites Journal of Machine learning research7(Jan), 1–30 (2006).

FuDoBa: Fusing Document and Knowledge Graph-based Representations with Bayesian Optimisation Journal of Machine learning research7(Jan), 1–30 (2006)

Reference 41

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This paper cites In: Moens, M.-F., Huang, X., Specia, L., Yih, S.W.- t.

FuDoBa: Fusing Document and Knowledge Graph-based Representations with Bayesian Optimisation In: Moens, M.-F., Huang, X., Specia, L., Yih, S.W.- t

Reference 42

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FuDoBa: Fusing Document and Knowledge Graph-based Representations with Bayesian Optimisation entity1

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:06:10.001278Z

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Observation c6d09fa7-abc1-4f3e-8849-81c339b1f7d4 · outbound

This paper cites - N o r m a l i z e en tit ie s by using lower - case and s ing ul ar forms when a p p l i c a b l e to avoid near d u p l i c a t e s.

FuDoBa: Fusing Document and Knowledge Graph-based Representations with Bayesian Optimisation - N o r m a l i z e en tit ie s by using lower - case and s ing ul ar forms when a p p l i c a b l e to avoid near d u p l i c a t e s

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:06:09.981959Z

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Observation 38db486d-964e-4fe9-9d40-7103d5a0df7c · outbound

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FuDoBa: Fusing Document and Knowledge Graph-based Representations with Bayesian Optimisation Unresolved cited work

Reference 45

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Observation 869d7005-2993-4f4c-b322-05bf82faaf4b · outbound

This paper cites an unresolved cited work.

FuDoBa: Fusing Document and Knowledge Graph-based Representations with Bayesian Optimisation Unresolved cited work

Reference 46

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Observation dd5aa522-cf01-4a36-a165-28972be6bda9 · outbound

This paper cites ""{ d oc ume nt }.

FuDoBa: Fusing Document and Knowledge Graph-based Representations with Bayesian Optimisation ""{ d oc ume nt }

Reference 47

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Source-reported events for the cited work

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Pith citing papers

No inbound Pith citation observations are available.