Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T22:43:31.728430Z
Paper Citation Record · LEDGER
As of 12 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 0 inbound Pith citation observations for arXiv:2501.00941.
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 2026-08-10T22:43:31.728430Z
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
60 of 60 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 7a2735e0-8171-4f08-ab59-eb331497eae7 · outbound
A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset , " * write output.state after.block = add.period write newline
Reference 1
Source-reported events for the cited work
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Observation f4bbe86e-6f3f-4ffc-88a2-bc155f1216d9 · outbound
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Reference 2
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A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset E.; Johnson, G.; Kloppenburg, A.; Ferrer, O.; Bell, R.; and Ayarza, P
Reference 3
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A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset Unresolved cited work
Reference 4
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A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset Diffusion Models For Multi-Modal Generative Modeling
Reference 5
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A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset E.; and Tomizuka, M
Reference 6
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A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset J.; Milles, L
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A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset Unresolved cited work
Reference 8
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A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset Unresolved cited work
Reference 9
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A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset N.; and Geetha, S
Reference 10
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A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset R.; Groh, M.; Herman, L.; Leach, N.; et al
Reference 11
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Observation 73a5c43b-c674-4f04-897b-5773e5b55bef · outbound
A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset Unresolved cited work
Reference 12
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A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset Unresolved cited work
Reference 13
Source-reported events for the cited work
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Observation 8bb57135-c515-44f2-9f33-29a362a37b15 · outbound
A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models
Reference 14
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b2c97217-ccde-4529-a877-c8bb5c1f305e · outbound
A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset Unresolved cited work
Reference 15
Source-reported events for the cited work
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A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset Unresolved cited work
Reference 16
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4aa3a114-c0cc-4b13-b493-f0a4466ba5cf · outbound
A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset Unresolved cited work
Reference 17
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A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset Unresolved cited work
Reference 18
Source-reported events for the cited work
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A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset Unresolved cited work
Reference 19
Source-reported events for the cited work
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Observation d961bb27-335f-42fd-baee-1fbd20c28b8a · outbound
A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset Unresolved cited work
Reference 20
Source-reported events for the cited work
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A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset R.; Sobh, I.; Talpaert, V.; Mannion, P.; Al Sallab, A
Reference 21
Source-reported events for the cited work
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A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset Unresolved cited work
Reference 22
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A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset Unresolved cited work
Reference 23
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A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset S.; and Hashimoto, T
Reference 24
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A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset Unresolved cited work
Reference 25
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A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset Unresolved cited work
Reference 26
Source-reported events for the cited work
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A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset Unresolved cited work
Reference 27
Source-reported events for the cited work
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Observation bb115dd6-bb74-4f63-8376-10376045d6ce · outbound
A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset AudioLDM: Text-to-Audio Generation with Latent Diffusion Models
Reference 28
Source-reported events for the cited work
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Observation c0e2f2af-0ef7-4c80-86fa-541748b849cf · outbound
A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset Unresolved cited work
Reference 29
Source-reported events for the cited work
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Observation 747f6c33-2de6-415a-9884-fbec750ad0ec · outbound
A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset Symbolic Music Generation with Diffusion Models
Reference 30
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 63e5005c-b746-4daf-90f0-7d115e1ae3ba · outbound
A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset GPT-4 Technical Report
Reference 31
Source-reported events for the cited work
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A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset Unresolved cited work
Reference 32
Source-reported events for the cited work
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A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset Hierarchical Text-Conditional Image Generation with CLIP Latents
Reference 33
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Observation c1d9c99e-9972-4d15-a67e-948c1afd54df · outbound
A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset Unresolved cited work
Reference 34
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Observation d5effb2d-15c9-4b31-a9aa-8a5932f693a0 · outbound
A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset Unresolved cited work
Reference 35
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A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset Unresolved cited work
Reference 36
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A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset Unresolved cited work
Reference 37
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A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset L.; Ghasemipour, K.; Gontijo Lopes, R.; Karagol Ayan, B.; Salimans, T.; et al
Reference 38
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A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset Progressive Distillation for Fast Sampling of Diffusion Models
Reference 39
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A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset G.; Hibi, A.; and Tyrrell, P
Reference 40
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A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset Understanding Multimodal Deep Neural Networks: A Concept Selection View
Reference 41
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Observation a46bddd4-0bd0-4d27-8f59-7c3a4a662639 · outbound
A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset Unresolved cited work
Reference 42
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A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset CodeFusion: A Pre-trained Diffusion Model for Code Generation
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A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset Unresolved cited work
Reference 44
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Reference 45
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A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset Unresolved cited work
Reference 46
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Reference 48
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Reference 49
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Reference 50
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A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset Unresolved cited work
Reference 51
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A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset Unresolved cited work
Reference 52
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A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset Unresolved cited work
Reference 53
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A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset Unresolved cited work
Reference 54
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A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset Unresolved cited work
Reference 55
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A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset Unresolved cited work
Reference 56
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Reference 57
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A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset Unresolved cited work
Reference 58
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A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset Unresolved cited work
Reference 59
Source-reported events for the cited work
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Observation a10a55d4-b956-420f-b9a3-ed25826973b1 · outbound
A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset Unresolved cited work
Reference 60
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No inbound Pith citation observations are available.