Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T16:43:24.893260Z
Paper Citation Record · LEDGER
Combining feature-based approaches with graph neural networks and symbolic regression for synergistic performance and interpretability
As of 17 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 0 inbound Pith citation observations for arXiv:2509.03547.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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
Reference resolution
62 of 62 outbound references displayed
- verified exact0
- verified fuzzy26
- unresolved34
- parse uncertain0
- malformed identifier2
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 9d039744-1b93-4c4e-ab48-36a7cbf7b9d0 · outbound
This paper cites F., Florea, L., De Oliveira, M.
Combining feature-based approaches with graph neural networks and symbolic regression for synergistic performance and interpretability F., Florea, L., De Oliveira, M
Reference 1
- Resolution
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- raw_fallback, observed 2026-08-15T16:43:27.323542Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation ebaa1990-a538-40b8-bd62-0475eb2538dd · outbound
This paper cites an unresolved cited work.
Combining feature-based approaches with graph neural networks and symbolic regression for synergistic performance and interpretability Unresolved cited work
Reference 2
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1e1a46b3-55d3-4bbf-9d50-9650d2365447 · outbound
This paper cites & Buehler, M.
Reference 3
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation b8c81837-9864-4a4e-b2df-48e758b23659 · outbound
This paper cites & Rignanese, G.
Combining feature-based approaches with graph neural networks and symbolic regression for synergistic performance and interpretability & Rignanese, G
Reference 4
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation cdf4b285-fb9a-405f-8e63-cbd4e70ebc43 · outbound
This paper cites & Gao, F.
Reference 5
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 0805c150-e141-4b3a-818e-05a319ede701 · outbound
This paper cites an unresolved cited work.
Combining feature-based approaches with graph neural networks and symbolic regression for synergistic performance and interpretability Unresolved cited work
Reference 6
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 4a1ed434-422c-44bf-8f09-43a8f28c2c04 · outbound
This paper cites an unresolved cited work.
Combining feature-based approaches with graph neural networks and symbolic regression for synergistic performance and interpretability Unresolved cited work
Reference 7
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 598e8b9d-e8a8-496d-9b47-a0894dbeec49 · outbound
This paper cites A., Brolo, A.
Reference 8
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation ee6a5860-122d-4a5f-bdc1-9d5efd40c465 · outbound
This paper cites an unresolved cited work.
Combining feature-based approaches with graph neural networks and symbolic regression for synergistic performance and interpretability Unresolved cited work
Reference 9
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 13be1d1f-19ae-463f-a853-55fb5fa221d3 · outbound
This paper cites & Ko, D.-H.
Reference 10
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 2fe57e69-0e94-4ad9-9b26-6321167ffdb4 · outbound
This paper cites an unresolved cited work.
Combining feature-based approaches with graph neural networks and symbolic regression for synergistic performance and interpretability Unresolved cited work
Reference 11
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation ae616755-4255-4c08-988f-9027fefffccd · outbound
This paper cites MatBench Leaderboard.
Combining feature-based approaches with graph neural networks and symbolic regression for synergistic performance and interpretability MatBench Leaderboard
Reference 12
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f64e4697-f650-4ab6-b9e6-4791a18bb2a8 · outbound
This paper cites an unresolved cited work.
Combining feature-based approaches with graph neural networks and symbolic regression for synergistic performance and interpretability Unresolved cited work
Reference 13
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 6e3b49f8-96f4-4688-bd5c-0567736fc1ab · outbound
This paper cites P., Kondor, R.
Reference 15
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 987e9050-1b65-477f-a5ac-9bf637c09c25 · outbound
This paper cites an unresolved cited work.
Combining feature-based approaches with graph neural networks and symbolic regression for synergistic performance and interpretability Unresolved cited work
Reference 16
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5b5a540d-e9c7-4c2a-9955-bee94c0fdbd6 · outbound
This paper cites TabNet: Attentive Interpretable Tabular Learning.
Combining feature-based approaches with graph neural networks and symbolic regression for synergistic performance and interpretability TabNet: Attentive Interpretable Tabular Learning
Reference 17
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8a3985d7-9cd1-46f3-88a8-457785abb883 · outbound
This paper cites Connectivity Optimized Nested Graph Networks for Crystal Structures.
Combining feature-based approaches with graph neural networks and symbolic regression for synergistic performance and interpretability Connectivity Optimized Nested Graph Networks for Crystal Structures
Reference 18
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f92b4ab6-e342-4e76-a839-4133b01dcbc0 · outbound
This paper cites Materials Graph Library (MatGL), an open-source graph deep learning library for materials science and chemistry.
Combining feature-based approaches with graph neural networks and symbolic regression for synergistic performance and interpretability Materials Graph Library (MatGL), an open-source graph deep learning library for materials science and chemistry
Reference 19
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b8432578-550b-46fc-a368-3dcd95864d77 · outbound
This paper cites an unresolved cited work.
Combining feature-based approaches with graph neural networks and symbolic regression for synergistic performance and interpretability Unresolved cited work
Reference 20
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 5b1b1c23-8ec8-46c0-9c9a-253ca9db8ca6 · outbound
This paper cites Orb-v3: atomistic simulation at scale.
Combining feature-based approaches with graph neural networks and symbolic regression for synergistic performance and interpretability Orb-v3: atomistic simulation at scale
Reference 21
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 16d67668-32f8-47b7-ade5-e925f01404e1 · outbound
This paper cites & Mizukami, W.
Reference 22
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation b4f37826-0cf9-4b50-9e15-fd458c39b062 · outbound
This paper cites an unresolved cited work.
Combining feature-based approaches with graph neural networks and symbolic regression for synergistic performance and interpretability Unresolved cited work
Reference 23
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 1c084e62-8b24-44fb-a51d-0c7b110c84a2 · outbound
This paper cites M., De Castro, S., Morton, B.
Combining feature-based approaches with graph neural networks and symbolic regression for synergistic performance and interpretability M., De Castro, S., Morton, B
Reference 24
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation add74e53-4b32-46f8-b13f-f211fc5dcaed · outbound
This paper cites an unresolved cited work.
Combining feature-based approaches with graph neural networks and symbolic regression for synergistic performance and interpretability Unresolved cited work
Reference 25
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation e98500b3-44d7-4e67-8469-c0fc4240845a · outbound
This paper cites Leveraging neural network interatomic potentials for a foundation model of chemistry.
Combining feature-based approaches with graph neural networks and symbolic regression for synergistic performance and interpretability Leveraging neural network interatomic potentials for a foundation model of chemistry
Reference 26
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e3e2d4ef-cac1-400c-90b9-6bf0b5295153 · outbound
This paper cites L., Buonassisi, T.
Combining feature-based approaches with graph neural networks and symbolic regression for synergistic performance and interpretability L., Buonassisi, T
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:43:26.707892Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation dfa530f9-11d9-4b13-94a7-bb6f179379fd · outbound
This paper cites Machine learning in materials science: From explai nable predictions to autonomous design.
Combining feature-based approaches with graph neural networks and symbolic regression for synergistic performance and interpretability Machine learning in materials science: From explai nable predictions to autonomous design
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:43:26.552484Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 285cdd7f-1600-4334-8e3a-61fc0fcb0a64 · outbound
This paper cites & Kumacheva, E.
Combining feature-based approaches with graph neural networks and symbolic regression for synergistic performance and interpretability & Kumacheva, E
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:43:26.449804Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation adc72cb3-3d2b-4bd2-a21c-eedefbfef1d8 · outbound
This paper cites an unresolved cited work.
Combining feature-based approaches with graph neural networks and symbolic regression for synergistic performance and interpretability Unresolved cited work
Reference 31
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 097e7157-f41c-464a-ad67-2325cf4d4d66 · outbound
This paper cites & Tavazza, F.
Reference 33
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 8f59928a-083f-4809-a521-bdab50111784 · outbound
This paper cites an unresolved cited work.
Combining feature-based approaches with graph neural networks and symbolic regression for synergistic performance and interpretability Unresolved cited work
Reference 37
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation cc52fe4c-5415-40eb-ba90-a79140fde639 · outbound
This paper cites & Aihara Jr., T.
Combining feature-based approaches with graph neural networks and symbolic regression for synergistic performance and interpretability & Aihara Jr., T
Reference 38
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 1d68952b-17b5-4295-9fe2-c402b419145e · outbound
This paper cites & Wolverton, C.
Combining feature-based approaches with graph neural networks and symbolic regression for synergistic performance and interpretability & Wolverton, C
Reference 39
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 12e5f69c-4cba-4468-be53-1a9418ff60c4 · outbound
This paper cites an unresolved cited work.
Combining feature-based approaches with graph neural networks and symbolic regression for synergistic performance and interpretability Unresolved cited work
Reference 40
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 7c3ee00c-9838-4f50-bda4-7b6be7e45674 · outbound
This paper cites an unresolved cited work.
Combining feature-based approaches with graph neural networks and symbolic regression for synergistic performance and interpretability Unresolved cited work
Reference 42
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 060a0735-c167-496c-8aae-67513f00a3a0 · outbound
This paper cites an unresolved cited work.
Combining feature-based approaches with graph neural networks and symbolic regression for synergistic performance and interpretability Unresolved cited work
Reference 43
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 8cc5dcf0-e2e4-4582-9e31-e3bea6a3422d · outbound
This paper cites Open Materials 2024 (OMat24) Inorganic Materials Dataset and Models.
Combining feature-based approaches with graph neural networks and symbolic regression for synergistic performance and interpretability Open Materials 2024 (OMat24) Inorganic Materials Dataset and Models
Reference 44
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f47d8fbb-7ff2-46be-8e7b-edca5c3d5dc9 · outbound
This paper cites Materialsproject.org https://matbench.materialsproject.org/Full%20Benchmark%20Data/matbench_v0.1_Meg Net_kgcnn_v2.1.0/ (2020).
Combining feature-based approaches with graph neural networks and symbolic regression for synergistic performance and interpretability Materialsproject.org https://matbench.materialsproject.org/Full%20Benchmark%20Data/matbench_v0.1_Meg Net_kgcnn_v2.1.0/ (2020)
Reference 45
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 99a6390a-3143-482a-958c-d90ac6eb9ee0 · outbound
This paper cites & Qian, Q.
Reference 46
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 4ac1a902-56b3-42c9-aa2f-6cbd88799e39 · outbound
This paper cites Boosting SISSO Performance on Small Sample Datasets by Using Random Forests Prescreening for Complex Feature Selection.
Combining feature-based approaches with graph neural networks and symbolic regression for synergistic performance and interpretability Boosting SISSO Performance on Small Sample Datasets by Using Random Forests Prescreening for Complex Feature Selection
Reference 47
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6ffb7d22-c32d-4307-8692-3ff8fae3bc6a · outbound
This paper cites an unresolved cited work.
Combining feature-based approaches with graph neural networks and symbolic regression for synergistic performance and interpretability Unresolved cited work
Reference 48
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation beabe258-11ad-4bfd-bfc7-b837c4601347 · outbound
This paper cites & Guestrin, C.
Reference 49
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6747bf4b-6fbf-45bf-bd48-b083ae569d93 · outbound
This paper cites & Ong, S.
Reference 50
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 257a9420-9581-4882-bb6e-90e0e7710ca5 · outbound
This paper cites an unresolved cited work.
Combining feature-based approaches with graph neural networks and symbolic regression for synergistic performance and interpretability Unresolved cited work
Reference 51
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 8b373ad3-e738-4e1d-acbe-f3c1ea43a009 · outbound
This paper cites TMetalFraction|transition metal fraction.
Combining feature-based approaches with graph neural networks and symbolic regression for synergistic performance and interpretability TMetalFraction|transition metal fraction
Reference 52
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-15T16:43:25.661618Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 1bcadcbf-4a3e-47bd-af54-3978c1785f81 · outbound
This paper cites an unresolved cited work.
Combining feature-based approaches with graph neural networks and symbolic regression for synergistic performance and interpretability Unresolved cited work
Reference 53
- Resolution
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- raw_fallback, observed 2026-08-15T16:43:26.914162Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation bd1f86a4-2ac3-42ba-960c-3221e6e2b965 · outbound
This paper cites & Ong, S.
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:43:25.592690Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation d3004be1-3a13-422d-848a-051e854d77a5 · outbound
This paper cites & Jain, A.
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:43:26.434099Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation fd4b5963-50e0-4f46-8311-7b92929cac5c · outbound
This paper cites an unresolved cited work.
Combining feature-based approaches with graph neural networks and symbolic regression for synergistic performance and interpretability Unresolved cited work
Reference 56
- Resolution
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- raw_fallback, observed 2026-08-15T16:43:25.471266Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 2a62367d-fd96-4381-9a08-436441d70312 · outbound
This paper cites & Ghiringhelli, L.
Combining feature-based approaches with graph neural networks and symbolic regression for synergistic performance and interpretability & Ghiringhelli, L
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:43:25.406245Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 93511682-c57d-4855-9089-0c9613a4fe7c · outbound
This paper cites Mechanical properties of some steels.
Combining feature-based approaches with graph neural networks and symbolic regression for synergistic performance and interpretability Mechanical properties of some steels
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:43:26.404073Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation c31a68e1-b047-4f4f-b541-9a3ccb4cf13f · outbound
This paper cites & Tavazza, F.
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:43:25.372024Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 2ea8cc65-bf4a-48a4-bdde-b608098e672e · outbound
This paper cites an unresolved cited work.
Combining feature-based approaches with graph neural networks and symbolic regression for synergistic performance and interpretability Unresolved cited work
Reference 60
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T16:43:26.375026Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 7c2b5e63-bd21-4b6e-87a9-f42aa3148404 · outbound
This paper cites & Brgoch, J.
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:43:26.359490Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 8a3feff5-8733-4881-a9ea-47d5fa5bc1f8 · outbound
This paper cites & Aihara Jr., T.
Combining feature-based approaches with graph neural networks and symbolic regression for synergistic performance and interpretability & Aihara Jr., T
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:43:25.352767Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 8027cf32-4618-4695-917f-eea3dc2b5bc2 · outbound
This paper cites & Wolverton, C.
Combining feature-based approaches with graph neural networks and symbolic regression for synergistic performance and interpretability & Wolverton, C
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:43:25.331167Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 4810210c-a44d-4dbb-92ae-ce584881be63 · outbound
This paper cites an unresolved cited work.
Combining feature-based approaches with graph neural networks and symbolic regression for synergistic performance and interpretability Unresolved cited work
Reference 64
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T16:43:26.342770Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation e9ba03be-0c5d-4588-a426-6f0b3a04a8f7 · outbound
This paper cites an unresolved cited work.
Combining feature-based approaches with graph neural networks and symbolic regression for synergistic performance and interpretability Unresolved cited work
Reference 65
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T16:43:25.967858Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 716eaa0d-c945-4d66-b42e-17bb2dc247db · outbound
This paper cites an unresolved cited work.
Combining feature-based approaches with graph neural networks and symbolic regression for synergistic performance and interpretability Unresolved cited work
Reference 66
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T16:43:25.314119Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 9ebed9bf-9977-4e68-840f-ae7441c6b74c · outbound
This paper cites an unresolved cited work.
Combining feature-based approaches with graph neural networks and symbolic regression for synergistic performance and interpretability Unresolved cited work
Reference 67
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T16:43:25.296203Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 2b7f122a-b49e-4732-bafa-96365b9659a4 · outbound
This paper cites an unresolved cited work.
Combining feature-based approaches with graph neural networks and symbolic regression for synergistic performance and interpretability Unresolved cited work
Reference 68
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T16:43:25.274300Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation eb61df4d-d283-46aa-b525-0f0ae1b815c8 · outbound
This paper cites an unresolved cited work.
Combining feature-based approaches with graph neural networks and symbolic regression for synergistic performance and interpretability Unresolved cited work
Reference 69
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T16:43:25.250320Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Pith citing papers
No inbound Pith citation observations are available.