Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-02T23:19:23.666367Z
Paper Citation Record · LEDGER
As of 12 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2602.14239.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-02T23:19:23.666367Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
24 of 24 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 2c2dae02-c0cc-4047-a794-501db5d04aca · outbound
A Hybrid TGN-SEAL Model for Dynamic Graph Link Prediction Morgan & Claypool Publishers, San Rafael, CA (2020)
Reference 1
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 26628236-c34a-4ced-99ad-d840ee7e4617 · outbound
A Hybrid TGN-SEAL Model for Dynamic Graph Link Prediction Journal of Business Research69(11), 4811–4814 (2016)
Reference 2
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5375d8da-35b8-4a40-b442-0e6068028334 · outbound
A Hybrid TGN-SEAL Model for Dynamic Graph Link Prediction In: Social Network Data Analytics, pp
Reference 3
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c0b0f9d9-8c49-4dff-9be9-0926642a1546 · outbound
A Hybrid TGN-SEAL Model for Dynamic Graph Link Prediction In: Proceedings of the Twelfth International Conference on Information and Knowledge Management, pp
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 378610e5-3395-42d1-9127-53cfb8a66c29 · outbound
A Hybrid TGN-SEAL Model for Dynamic Graph Link Prediction Artificial Intelligence Review52(3), 1961–1995 (2019)
Reference 5
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9525281d-159e-4903-accb-bb6076b45ac9 · outbound
A Hybrid TGN-SEAL Model for Dynamic Graph Link Prediction In: SDM06: Workshop on Link Analysis, Counter-terrorism and Security, vol
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2f1264cc-a225-4ca1-9c8c-639e00cbb08d · outbound
A Hybrid TGN-SEAL Model for Dynamic Graph Link Prediction Physica A: statistical mechanics and its applications390(6), 1150–1170 (2011)
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 915ab532-6109-4254-99f7-ab841bead541 · outbound
A Hybrid TGN-SEAL Model for Dynamic Graph Link Prediction Journal of Machine Learning Research3(Dec), 679–707 (2002)
Reference 8
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 20766dbc-b3cc-4be6-a25a-ec56a16ed289 · outbound
A Hybrid TGN-SEAL Model for Dynamic Graph Link Prediction In: Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp
Reference 9
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 56759c97-a481-41ea-9d81-509a0874993e · outbound
A Hybrid TGN-SEAL Model for Dynamic Graph Link Prediction In: Proceedings of the International Biometrics Society Annual Meeting, vol
Reference 10
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c7162d1d-f6fb-4ecc-a08a-de6eb6c52a46 · outbound
A Hybrid TGN-SEAL Model for Dynamic Graph Link Prediction Springer, Berlin, Heidelberg (2022)
Reference 11
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d2940b63-a6d5-44a6-b2f4-e3d1aafab93f · outbound
A Hybrid TGN-SEAL Model for Dynamic Graph Link Prediction Proceedings of the IEEE104(1), 11–33 (2015)
Reference 12
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8ee9bff9-5d68-4b89-afb5-292fa541f447 · outbound
A Hybrid TGN-SEAL Model for Dynamic Graph Link Prediction ACM Transactions on Knowledge Discovery from Data (TKDD)5(2), 1–27 (2011) 13
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ebf2bab0-495a-455d-8131-5177485f103f · outbound
A Hybrid TGN-SEAL Model for Dynamic Graph Link Prediction In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp
Reference 14
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0d78797b-544c-4d72-926b-f7b310f028d2 · outbound
A Hybrid TGN-SEAL Model for Dynamic Graph Link Prediction Procedia Computer Science60, 332–341 (2015)
Reference 15
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ca8bcaee-c481-44a8-b949-daeb53c33b0f · outbound
A Hybrid TGN-SEAL Model for Dynamic Graph Link Prediction Social Networks44, 105–116 (2016)
Reference 16
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 713ccedd-6a73-47db-a0f4-03193b2c8286 · outbound
A Hybrid TGN-SEAL Model for Dynamic Graph Link Prediction In: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp
Reference 17
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e482b88d-8cdf-45d1-994c-e82a4adc26cf · outbound
A Hybrid TGN-SEAL Model for Dynamic Graph Link Prediction Advances in neural information processing systems26(2013)
Reference 18
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 153a2c11-355b-4b95-b7f4-56567f50e802 · outbound
A Hybrid TGN-SEAL Model for Dynamic Graph Link Prediction AI open1, 57–81 (2020)
Reference 19
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c70fcf37-d74d-4b52-a499-def5839e7a3f · outbound
A Hybrid TGN-SEAL Model for Dynamic Graph Link Prediction Advances in neural information processing systems31(2018)
Reference 20
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5d7b93f3-5d5c-43c4-9c3d-1f90baf19287 · outbound
A Hybrid TGN-SEAL Model for Dynamic Graph Link Prediction Journal of Machine Learning Research21(70), 1–73 (2020)
Reference 21
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cf37a5b6-6104-4f75-bfe9-2edfcbd2a5f8 · outbound
A Hybrid TGN-SEAL Model for Dynamic Graph Link Prediction Temporal Graph Networks for Deep Learning on Dynamic Graphs
Reference 22
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 65cc94c3-5a13-43f9-9743-283d586dac75 · outbound
A Hybrid TGN-SEAL Model for Dynamic Graph Link Prediction ACM Transactions on Graphics (tog)38(5), 1–12 (2019)
Reference 23
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dc06e16f-8cc0-4cb0-9741-631b25ef9e80 · outbound
A Hybrid TGN-SEAL Model for Dynamic Graph Link Prediction Personal and ubiquitous computing10(4), 255–268 (2006) 14
Reference 24
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.