Paper Citation Record · LEDGER

Multimodal Attention-based Deep Learning for Emergency Triage with Electronic Health Records

As of 13 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2607.16662.

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

pith.paper-citation-record.v1
2607.16662 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T20:22:05.224963Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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 exact8
verified fuzzy0
unresolved12
parse uncertain0
malformed identifier3
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation efb23030-bee1-4d30-b816-def50c5c860c · outbound

This paper cites an unresolved cited work.

Multimodal Attention-based Deep Learning for Emergency Triage with Electronic Health Records Unresolved cited work

Reference 1

Resolution: verified exact; doi, observed 2026-08-01T20:23:38.275707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3f5cabbb-6b3c-4377-859f-a85ed259aa0b · outbound

This paper cites Krylova et al.

Multimodal Attention-based Deep Learning for Emergency Triage with Electronic Health Records Krylova et al

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T20:22:02.669659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c81b915-151e-428a-9de6-cb91210fb6ae · outbound

This paper cites BMC Emer- gency Medicine18(1), 58 (2018) https://doi.org/ 10.1186/s12873-018-0215-0.

Multimodal Attention-based Deep Learning for Emergency Triage with Electronic Health Records BMC Emer- gency Medicine18(1), 58 (2018) https://doi.org/ 10.1186/s12873-018-0215-0

Reference 3

Resolution: verified exact; doi, observed 2026-08-01T20:23:38.129027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b5843fa9-8046-45a7-9936-6ff1f4ef90c9 · outbound

This paper cites Journal of Ambient Intelligence and Humanized Comput- ing14(7), 8459–8486 (2023) https://doi.org/10.

Multimodal Attention-based Deep Learning for Emergency Triage with Electronic Health Records Journal of Ambient Intelligence and Humanized Comput- ing14(7), 8459–8486 (2023) https://doi.org/10

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T20:22:02.878978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26cfa799-b813-4435-ba95-def0fed14b8c · outbound

This paper cites International Journal of Intelligent Networks3, 58–73 (2022) https://doi.org/10.1016/j.ijin.2022.

Multimodal Attention-based Deep Learning for Emergency Triage with Electronic Health Records International Journal of Intelligent Networks3, 58–73 (2022) https://doi.org/10.1016/j.ijin.2022

Reference 5

Resolution: verified exact; doi, observed 2026-08-01T20:23:37.963202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3962c4c9-f0aa-4e49-8ef3-690714ce948c · outbound

This paper cites Future Healthcare Journal6(2), 94–98 (2019) https:// doi.org/10.7861/futurehosp.6-2-94.

Multimodal Attention-based Deep Learning for Emergency Triage with Electronic Health Records Future Healthcare Journal6(2), 94–98 (2019) https:// doi.org/10.7861/futurehosp.6-2-94

Reference 6

Resolution: verified exact; doi, observed 2026-08-01T20:23:37.852347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 010cc6b7-65d0-4555-b6f6-756c33dd731c · outbound

This paper cites Crit- ical Care (London, England)23(1), 64 (2019) https://doi.org/10.1186/s13054-019-2351-7.

Multimodal Attention-based Deep Learning for Emergency Triage with Electronic Health Records Crit- ical Care (London, England)23(1), 64 (2019) https://doi.org/10.1186/s13054-019-2351-7

Reference 7

Resolution: verified exact; doi, observed 2026-08-01T20:23:37.713545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9173da73-0b59-41f8-a792-d4482730526a · outbound

This paper cites Electronics12(5), 1102 (2023) https://doi.org/10.3390/electronics12051102.

Multimodal Attention-based Deep Learning for Emergency Triage with Electronic Health Records Electronics12(5), 1102 (2023) https://doi.org/10.3390/electronics12051102

Reference 8

Resolution: verified exact; doi, observed 2026-08-01T20:23:37.567828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d190e032-7fe3-4f04-8b2a-5d6820710139 · outbound

This paper cites Acute Medicine & Surgery9(1), 740 (2022) https://doi.org/10.1002/ams2.740.

Multimodal Attention-based Deep Learning for Emergency Triage with Electronic Health Records Acute Medicine & Surgery9(1), 740 (2022) https://doi.org/10.1002/ams2.740

Reference 9

Resolution: verified exact; doi, observed 2026-08-01T20:23:37.432298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d3411ed3-646e-4e34-b719-0d276788f830 · outbound

This paper cites Applied Sciences10(23), 8631 (2020) https://doi.org/10.

Multimodal Attention-based Deep Learning for Emergency Triage with Electronic Health Records Applied Sciences10(23), 8631 (2020) https://doi.org/10

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T20:22:03.672553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e630301e-4eff-4c4d-976a-a14f46eaac04 · outbound

This paper cites In: 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp.

Multimodal Attention-based Deep Learning for Emergency Triage with Electronic Health Records In: 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T20:22:03.783777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55a44200-b68f-4c82-8e39-d19369d33a29 · outbound

This paper cites JMIR Medical Informatics12, 48862 (2024).

Multimodal Attention-based Deep Learning for Emergency Triage with Electronic Health Records JMIR Medical Informatics12, 48862 (2024)

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T20:22:03.871359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26bf7b62-51d0-4989-b179-43033229a461 · outbound

This paper cites TabNet: Attentive Interpretable Tabular Learning.

Multimodal Attention-based Deep Learning for Emergency Triage with Electronic Health Records TabNet: Attentive Interpretable Tabular Learning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T20:22:03.984236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab5071c1-1d58-4a8a-a4b5-0a870448f60b · outbound

This paper cites Surgical Innovation31(6), 583–597 (2024).

Multimodal Attention-based Deep Learning for Emergency Triage with Electronic Health Records Surgical Innovation31(6), 583–597 (2024)

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T20:22:04.063568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a86d8cf-673a-4b47-9299-257acc4cd918 · outbound

This paper cites In: 2020 IEEE International Conference on Big Data (Big Data), pp.

Multimodal Attention-based Deep Learning for Emergency Triage with Electronic Health Records In: 2020 IEEE International Conference on Big Data (Big Data), pp

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T20:22:04.141848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91d8fa5d-a7c8-48f8-8919-0659d1648594 · outbound

This paper cites IEEE Access 9, 45552–45561 (2021) https://doi.org/10.1109/ ACCESS.2021.3066164.

Multimodal Attention-based Deep Learning for Emergency Triage with Electronic Health Records IEEE Access 9, 45552–45561 (2021) https://doi.org/10.1109/ ACCESS.2021.3066164

Reference 16

Resolution: malformed identifier; no resolver link, observed 2026-08-01T20:22:04.231174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6085bb2b-9ab3-431f-b023-9521e31cc777 · outbound

This paper cites In: 2024 International Conference on Machine Learning and Applications (ICMLA), pp.

Multimodal Attention-based Deep Learning for Emergency Triage with Electronic Health Records In: 2024 International Conference on Machine Learning and Applications (ICMLA), pp

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T20:22:04.348447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e7fc52f-0fb2-4e83-9535-a13d97e75efc · outbound

This paper cites Deep Attention Model for Triage of Emergency Department Patients.

Multimodal Attention-based Deep Learning for Emergency Triage with Electronic Health Records Deep Attention Model for Triage of Emergency Department Patients

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-01T20:23:37.312923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 75206f21-a9f9-4796-ad84-39157b1b23d8 · outbound

This paper cites Emergency Medicine Australasia 33(3), 480–484 (2021) https://doi.org/10.1111/ 1742-6723.13656.

Multimodal Attention-based Deep Learning for Emergency Triage with Electronic Health Records Emergency Medicine Australasia 33(3), 480–484 (2021) https://doi.org/10.1111/ 1742-6723.13656

Reference 19

Resolution: malformed identifier; no resolver link, observed 2026-08-01T20:22:04.638776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df50d9e7-a8e7-4c85-9b1d-bc9359b411ee · outbound

This paper cites Journal of Biomedical Informatics133, 104171 (2022).

Multimodal Attention-based Deep Learning for Emergency Triage with Electronic Health Records Journal of Biomedical Informatics133, 104171 (2022)

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T20:22:04.771410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49bbb6ea-e609-42a8-977b-205565a9a8c7 · outbound

This paper cites In: 2019 IEEE Interna- tional Conference on Bioinformatics and Biomedicine (BIBM), pp.

Multimodal Attention-based Deep Learning for Emergency Triage with Electronic Health Records In: 2019 IEEE Interna- tional Conference on Bioinformatics and Biomedicine (BIBM), pp

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T20:22:04.889647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 515d3b0d-f6b4-448d-b649-5846bd79fdcd · outbound

This paper cites ¨O., Pfister, T.: Tabnet: Attentive inter- pretable tabular learning.

Multimodal Attention-based Deep Learning for Emergency Triage with Electronic Health Records ¨O., Pfister, T.: Tabnet: Attentive inter- pretable tabular learning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T20:22:05.054247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation abb9e418-a486-4351-8520-e675d1ee3801 · outbound

This paper cites Journal of Biomedical Informatics 133, 104171 (2022) https://doi.org/10.1016/j.jbi.

Multimodal Attention-based Deep Learning for Emergency Triage with Electronic Health Records Journal of Biomedical Informatics 133, 104171 (2022) https://doi.org/10.1016/j.jbi

Reference 23

Resolution: malformed identifier; no resolver link, observed 2026-08-01T20:22:05.224963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.