Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-13T05:55:42.942098Z
Paper Citation Record · LEDGER
Finite Volume-Informed Neural Network Framework for 2D Shallow Water Equations: Rugged Loss Landscapes and the Importance of Data Guidance
As of 7 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2605.11001.
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 2026-08-06T06:34:29.942622+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
47 of 47 outbound references displayed
- verified exact3
- verified fuzzy35
- unresolved7
- parse uncertain1
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation d25b4ef8-6e05-44da-9f4c-3a0ca15b5f44 · outbound
This paper cites journal =.
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T09:47:34.770114Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 16c5ed46-b909-497b-b3e5-29b8bf90174f · outbound
This paper cites an unresolved cited work.
Finite Volume-Informed Neural Network Framework for 2D Shallow Water Equations: Rugged Loss Landscapes and the Importance of Data Guidance Unresolved cited work
Reference 2
- Resolution
- unresolved
- raw_fallback, observed 2026-05-13T09:47:34.771716Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 71cb2653-a374-4d86-9350-ab163d5b5b42 · outbound
This paper cites Journal of Hydraulic Engineering , volume =.
Finite Volume-Informed Neural Network Framework for 2D Shallow Water Equations: Rugged Loss Landscapes and the Importance of Data Guidance Journal of Hydraulic Engineering , volume =
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T09:47:34.773306Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a5d2cba5-de07-412a-a8eb-13a0c10b9514 · outbound
This paper cites institution =.
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T09:47:34.833214Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 9e6e6615-135d-4e56-a44a-091e986895eb · outbound
This paper cites an unresolved cited work.
Finite Volume-Informed Neural Network Framework for 2D Shallow Water Equations: Rugged Loss Landscapes and the Importance of Data Guidance Unresolved cited work
Reference 5
- Resolution
- parse uncertain
- raw_fallback, observed 2026-05-13T09:47:34.830049Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 686d5c80-56f9-4ead-9947-11be6b91f5c5 · outbound
This paper cites International Journal of Geographical Information Science , volume=.
Finite Volume-Informed Neural Network Framework for 2D Shallow Water Equations: Rugged Loss Landscapes and the Importance of Data Guidance International Journal of Geographical Information Science , volume=
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T09:47:34.825295Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 410d14ec-beb4-4c24-8e9a-b4e9dbc402c2 · outbound
This paper cites Differentiable modelling to unify machine learning and physical models for geosciences , volume =.
Finite Volume-Informed Neural Network Framework for 2D Shallow Water Equations: Rugged Loss Landscapes and the Importance of Data Guidance Differentiable modelling to unify machine learning and physical models for geosciences , volume =
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T09:47:34.826959Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation d8720150-38e0-42d8-baf4-945b58e60adf · outbound
This paper cites Farthing and Tyler J.
Finite Volume-Informed Neural Network Framework for 2D Shallow Water Equations: Rugged Loss Landscapes and the Importance of Data Guidance Farthing and Tyler J
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T09:47:34.828503Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 605e26cb-4bea-4116-9d06-6ecf2c3b0460 · outbound
This paper cites 2022 , doi =.
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T09:47:34.831716Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 3638ef3c-03b6-40c5-8797-4e4e282fc78c · outbound
This paper cites Water Resources Research , volume =.
Finite Volume-Informed Neural Network Framework for 2D Shallow Water Equations: Rugged Loss Landscapes and the Importance of Data Guidance Water Resources Research , volume =
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T09:47:34.837211Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a9949e13-30cd-475d-95a5-d32ad61155e2 · outbound
This paper cites Water Resources Research , volume =.
Finite Volume-Informed Neural Network Framework for 2D Shallow Water Equations: Rugged Loss Landscapes and the Importance of Data Guidance Water Resources Research , volume =
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T09:47:34.822040Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 8022cf71-7c07-4285-9035-9c2890412f13 · outbound
This paper cites Water Resources Research , volume =.
Finite Volume-Informed Neural Network Framework for 2D Shallow Water Equations: Rugged Loss Landscapes and the Importance of Data Guidance Water Resources Research , volume =
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T09:47:34.823692Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 41794900-dabc-4f85-bca2-49bf8e136f63 · outbound
This paper cites 2025 , journal =.
Finite Volume-Informed Neural Network Framework for 2D Shallow Water Equations: Rugged Loss Landscapes and the Importance of Data Guidance 2025 , journal =
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T09:47:34.818782Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 1f5910ce-9d09-4304-8086-f4850626b98e · outbound
This paper cites and Karniadakis, George E.
Finite Volume-Informed Neural Network Framework for 2D Shallow Water Equations: Rugged Loss Landscapes and the Importance of Data Guidance and Karniadakis, George E
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T09:47:34.813029Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 504a4720-4000-4d09-9061-925f9349c719 · outbound
This paper cites A novel sequential method to train physics informed neural networks for.
Finite Volume-Informed Neural Network Framework for 2D Shallow Water Equations: Rugged Loss Landscapes and the Importance of Data Guidance A novel sequential method to train physics informed neural networks for
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T09:47:34.808254Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation d22abf81-c845-4974-ab91-b64f3bbea693 · outbound
This paper cites Computer Methods in Applied Mechanics and Engineering , volume =.
Finite Volume-Informed Neural Network Framework for 2D Shallow Water Equations: Rugged Loss Landscapes and the Importance of Data Guidance Computer Methods in Applied Mechanics and Engineering , volume =
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T09:47:34.810045Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 536f1f4e-dc7b-441b-8be6-4d3b872caabe · outbound
This paper cites journal =.
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T09:47:34.811544Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ca300891-9362-4180-a5a3-44d805b54c36 · outbound
This paper cites Computer Methods in Applied Mechanics and Engineering , volume =.
Finite Volume-Informed Neural Network Framework for 2D Shallow Water Equations: Rugged Loss Landscapes and the Importance of Data Guidance Computer Methods in Applied Mechanics and Engineering , volume =
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T09:47:34.817171Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 63d275d2-881a-4f59-b45e-2de2d50388e6 · outbound
This paper cites and di Bernardo, Mario and Russo, Lucia and Siettos, Constantinos I.
Finite Volume-Informed Neural Network Framework for 2D Shallow Water Equations: Rugged Loss Landscapes and the Importance of Data Guidance and di Bernardo, Mario and Russo, Lucia and Siettos, Constantinos I
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T09:47:34.820448Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 16fe7503-725a-4868-9fd5-8da6da800494 · outbound
This paper cites 2025 , journal =.
Finite Volume-Informed Neural Network Framework for 2D Shallow Water Equations: Rugged Loss Landscapes and the Importance of Data Guidance 2025 , journal =
Reference 20
- Resolution
- verified exact
- doi, observed 2026-05-13T05:57:21.890339Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 551b7fd5-ebee-445b-864f-582fd342e491 · outbound
This paper cites arXiv preprint arXiv:2603.24819 (2026).
Finite Volume-Informed Neural Network Framework for 2D Shallow Water Equations: Rugged Loss Landscapes and the Importance of Data Guidance arXiv preprint arXiv:2603.24819 (2026)
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T05:57:22.693326Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation e6a06d08-15e8-481a-86d2-767adc3569a3 · outbound
This paper cites Physics of Fluids , volume =.
Finite Volume-Informed Neural Network Framework for 2D Shallow Water Equations: Rugged Loss Landscapes and the Importance of Data Guidance Physics of Fluids , volume =
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T09:47:34.835551Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation fe122af0-7c07-437d-8bae-ac77dc4d46d2 · outbound
This paper cites an unresolved cited work.
Finite Volume-Informed Neural Network Framework for 2D Shallow Water Equations: Rugged Loss Landscapes and the Importance of Data Guidance Unresolved cited work
Reference 23
- Resolution
- unresolved
- raw_fallback, observed 2026-05-13T09:47:34.798929Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 0e183054-f153-41c5-9b20-adccb945851d · outbound
This paper cites Finite Volume Physical Informed Neural Network (.
Finite Volume-Informed Neural Network Framework for 2D Shallow Water Equations: Rugged Loss Landscapes and the Importance of Data Guidance Finite Volume Physical Informed Neural Network (
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T09:47:34.800445Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 40dc6a22-d500-4fd1-973e-ae1d5f83469a · outbound
This paper cites Knowledge-Based Systems , volume =.
Finite Volume-Informed Neural Network Framework for 2D Shallow Water Equations: Rugged Loss Landscapes and the Importance of Data Guidance Knowledge-Based Systems , volume =
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T09:47:34.802015Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 220776be-dd10-43a6-96c7-2019b866482a · outbound
This paper cites 2026 , doi =.
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T09:47:34.805112Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation b197846d-efeb-4d01-971d-505d3c40ca5f · outbound
This paper cites Learning to solve.
Finite Volume-Informed Neural Network Framework for 2D Shallow Water Equations: Rugged Loss Landscapes and the Importance of Data Guidance Learning to solve
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T09:47:34.794431Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 46634ea5-0cc7-4b22-b3e8-e262934cde0f · outbound
This paper cites and Buhendwa, Aaron B.
Finite Volume-Informed Neural Network Framework for 2D Shallow Water Equations: Rugged Loss Landscapes and the Importance of Data Guidance and Buhendwa, Aaron B
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T09:47:34.795931Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ae9eb2e1-d7cd-4200-8237-bbb86d81d166 · outbound
This paper cites Data-Centric Engineering , volume =.
Finite Volume-Informed Neural Network Framework for 2D Shallow Water Equations: Rugged Loss Landscapes and the Importance of Data Guidance Data-Centric Engineering , volume =
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T09:47:34.797464Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 89bd97eb-cf4e-438d-8d3a-d81cb05dd959 · outbound
This paper cites Advances in Neural Information Processing Systems , volume =.
Finite Volume-Informed Neural Network Framework for 2D Shallow Water Equations: Rugged Loss Landscapes and the Importance of Data Guidance Advances in Neural Information Processing Systems , volume =
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T09:47:34.806669Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation be1d0e10-c701-49f5-9d59-d71a3070ce39 · outbound
This paper cites Journal of Computational Physics , volume =.
Finite Volume-Informed Neural Network Framework for 2D Shallow Water Equations: Rugged Loss Landscapes and the Importance of Data Guidance Journal of Computational Physics , volume =
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T09:47:34.792915Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 35e82e45-eb8a-461c-bf43-6260672f7c72 · outbound
This paper cites Journal of Computational Physics , volume =.
Finite Volume-Informed Neural Network Framework for 2D Shallow Water Equations: Rugged Loss Landscapes and the Importance of Data Guidance Journal of Computational Physics , volume =
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T09:47:34.788307Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c71a353c-e836-4161-90f8-9de5bb009648 · outbound
This paper cites an unresolved cited work.
Finite Volume-Informed Neural Network Framework for 2D Shallow Water Equations: Rugged Loss Landscapes and the Importance of Data Guidance Unresolved cited work
Reference 33
- Resolution
- unresolved
- raw_fallback, observed 2026-05-13T09:47:34.789779Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation d86b2c9e-8771-4240-8880-650e295be540 · outbound
This paper cites 1997 , number =.
Finite Volume-Informed Neural Network Framework for 2D Shallow Water Equations: Rugged Loss Landscapes and the Importance of Data Guidance 1997 , number =
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T09:47:34.791296Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 806f2fdd-c80e-4e96-bf4f-d8e5e867b17a · outbound
This paper cites an unresolved cited work.
Finite Volume-Informed Neural Network Framework for 2D Shallow Water Equations: Rugged Loss Landscapes and the Importance of Data Guidance Unresolved cited work
Reference 35
- Resolution
- unresolved
- raw_fallback, observed 2026-05-13T09:47:34.803554Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 9aa1255c-c2b3-4f84-a146-f2e238583294 · outbound
This paper cites an unresolved cited work.
Finite Volume-Informed Neural Network Framework for 2D Shallow Water Equations: Rugged Loss Landscapes and the Importance of Data Guidance Unresolved cited work
Reference 36
- Resolution
- unresolved
- raw_fallback, observed 2026-05-13T09:47:34.815481Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 98916412-ba02-4309-82b5-696fc7ca97e6 · outbound
This paper cites Matematicheskii Sbornik , volume =.
Finite Volume-Informed Neural Network Framework for 2D Shallow Water Equations: Rugged Loss Landscapes and the Importance of Data Guidance Matematicheskii Sbornik , volume =
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T09:47:34.783189Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation b356e5f7-ddae-4ea8-abdb-3e2e45605b20 · outbound
This paper cites an unresolved cited work.
Finite Volume-Informed Neural Network Framework for 2D Shallow Water Equations: Rugged Loss Landscapes and the Importance of Data Guidance Unresolved cited work
Reference 38
- Resolution
- unresolved
- raw_fallback, observed 2026-05-13T09:47:34.838816Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation db402277-6baa-4064-8f96-e7ab2e5d2760 · outbound
This paper cites Journal of Hydraulic Engineering , year =.
Finite Volume-Informed Neural Network Framework for 2D Shallow Water Equations: Rugged Loss Landscapes and the Importance of Data Guidance Journal of Hydraulic Engineering , year =
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T09:47:34.780017Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation f1f3edcb-9324-4228-ad8d-4bf17c333830 · outbound
This paper cites Training Deep Nets with Sublinear Memory Cost.
Finite Volume-Informed Neural Network Framework for 2D Shallow Water Equations: Rugged Loss Landscapes and the Importance of Data Guidance Training Deep Nets with Sublinear Memory Cost
Reference 40
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-13T05:57:22.695808Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 72fd30fa-2ae4-4109-9036-477ad84b29d9 · outbound
This paper cites Advances in Neural Information Processing Systems , volume =.
Finite Volume-Informed Neural Network Framework for 2D Shallow Water Equations: Rugged Loss Landscapes and the Importance of Data Guidance Advances in Neural Information Processing Systems , volume =
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T09:47:34.781675Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation eeb1f812-ca5b-42ce-8ca9-e93f3d182948 · outbound
This paper cites and Lu, Peihuang and Nocedal, Jorge , journal =.
Finite Volume-Informed Neural Network Framework for 2D Shallow Water Equations: Rugged Loss Landscapes and the Importance of Data Guidance and Lu, Peihuang and Nocedal, Jorge , journal =
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T09:47:34.784960Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 272a8d78-9373-406c-bab5-443d3a5e05eb · outbound
This paper cites Advances in Neural Information Processing Systems 34 (NeurIPS) , year =.
Finite Volume-Informed Neural Network Framework for 2D Shallow Water Equations: Rugged Loss Landscapes and the Importance of Data Guidance Advances in Neural Information Processing Systems 34 (NeurIPS) , year =
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T09:47:34.786777Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 46ab2871-0d0b-4889-9f57-2dc7ea1470f0 · outbound
This paper cites Journal of Computational Physics , volume =.
Finite Volume-Informed Neural Network Framework for 2D Shallow Water Equations: Rugged Loss Landscapes and the Importance of Data Guidance Journal of Computational Physics , volume =
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T09:47:34.778453Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation b9ec3eac-e003-4e1a-91eb-922f5b6785d9 · outbound
This paper cites Computer Methods in Applied Mechanics and Engineering , volume =.
Finite Volume-Informed Neural Network Framework for 2D Shallow Water Equations: Rugged Loss Landscapes and the Importance of Data Guidance Computer Methods in Applied Mechanics and Engineering , volume =
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T09:47:34.776788Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c495d89f-f414-41e3-915a-32e1775e43ee · outbound
This paper cites an unresolved cited work.
Finite Volume-Informed Neural Network Framework for 2D Shallow Water Equations: Rugged Loss Landscapes and the Importance of Data Guidance Unresolved cited work
Reference 46
- Resolution
- unresolved
- raw_fallback, observed 2026-05-13T09:47:34.775001Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 1c435553-575f-41aa-b5dd-24bbf242d6e8 · outbound
This paper cites arXiv preprint arXiv:2604.01968 , year =.
Finite Volume-Informed Neural Network Framework for 2D Shallow Water Equations: Rugged Loss Landscapes and the Importance of Data Guidance arXiv preprint arXiv:2604.01968 , year =
Reference 47
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T05:57:22.698401Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Pith citing papers
No inbound Pith citation observations are available.