Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-12T03:15:45.257213Z
Paper Citation Record · LEDGER
The two clocks and the innovation window: When and how generative models learn rules
As of 6 August 2026, this Paper Citation Record lists 100 of 120 outbound references and 1 inbound Pith citation observation for arXiv:2605.10019.
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 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-27T17:38:48.252341Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-02T23:57:28.812600Z
Reference resolution
100 of 120 outbound references displayed
- verified exact27
- verified fuzzy52
- unresolved2
- parse uncertain0
- malformed identifier0
- metadata mismatch19
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation b8dd2745-de52-4577-a60b-34f33a48d88f · outbound
This paper cites Advances in neural information processing systems , volume=.
The two clocks and the innovation window: When and how generative models learn rules Advances in neural information processing systems , volume=
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T20:21:50.889722Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation de5334fd-7e46-4e2a-8a88-88e3ecf4d716 · outbound
This paper cites Advances in Neural Information Processing Systems , volume=.
The two clocks and the innovation window: When and how generative models learn rules Advances in Neural Information Processing Systems , volume=
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T20:21:50.892922Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 9a83b654-719e-469a-af4c-1c31a31023f6 · outbound
This paper cites A Random Matrix Theory Perspective on the Consistency of Diffusion Models.
The two clocks and the innovation window: When and how generative models learn rules A Random Matrix Theory Perspective on the Consistency of Diffusion Models
Reference 3
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-07T03:17:17.702004Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1a2ee4ab-5108-44ef-956b-e7098ca0fc99 · outbound
This paper cites Vision Transformers Need Registers.
The two clocks and the innovation window: When and how generative models learn rules Vision Transformers Need Registers
Reference 4
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7890a992-6dda-4676-a15d-65409b35a7e7 · outbound
This paper cites Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think.
The two clocks and the innovation window: When and how generative models learn rules Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think
Reference 5
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T15:09:37.504223Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 52b9f80f-1712-438a-a099-dd0e0abaf8c1 · outbound
This paper cites Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets.
The two clocks and the innovation window: When and how generative models learn rules Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets
Reference 6
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-12T03:16:18.607768Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1f5a5ba4-328b-4462-bb5a-123caa767715 · outbound
This paper cites Kearns , title =.
The two clocks and the innovation window: When and how generative models learn rules Kearns , title =
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T03:16:18.117659Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f833fca5-0b38-4aed-9bd2-5409af9d472c · outbound
This paper cites The Thirteenth International Conference on Learning Representations.
The two clocks and the innovation window: When and how generative models learn rules The Thirteenth International Conference on Learning Representations
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T20:21:50.885972Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation fe5c8a4d-2b15-42e1-a141-fe0270cbd952 · outbound
This paper cites From Sparse Dependence to Sparse Attention: Unveiling How Chain-of-Thought Enhances Transformer Sample Efficiency.
The two clocks and the innovation window: When and how generative models learn rules From Sparse Dependence to Sparse Attention: Unveiling How Chain-of-Thought Enhances Transformer Sample Efficiency
Reference 9
- Resolution
- metadata mismatch
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 298e738a-b6be-435f-86d9-f592bcc31193 · outbound
This paper cites Hidden Progress in Deep Learning: SGD Learns Parities Near the Computational Limit.
The two clocks and the innovation window: When and how generative models learn rules Hidden Progress in Deep Learning: SGD Learns Parities Near the Computational Limit
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T03:16:18.120838Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 167e1022-bef6-48e4-9f31-d0dc8ae35757 · outbound
This paper cites 2023 , journal =.
The two clocks and the innovation window: When and how generative models learn rules 2023 , journal =
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T20:21:50.861950Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 864d5f38-6ea0-48c6-979c-ba377a86c070 · outbound
This paper cites Transactions of the Association for Computational Linguistics , volume=.
The two clocks and the innovation window: When and how generative models learn rules Transactions of the Association for Computational Linguistics , volume=
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T20:21:50.906486Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 51192501-3907-4418-8ec3-154f4bf84397 · outbound
This paper cites 2024 , journal =.
The two clocks and the innovation window: When and how generative models learn rules 2024 , journal =
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T20:21:50.896584Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 81112096-4b4e-429a-8627-12c4a469f16f · outbound
This paper cites Transformers Learn Shortcuts to Automata.
The two clocks and the innovation window: When and how generative models learn rules Transformers Learn Shortcuts to Automata
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T03:16:18.663325Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f2fa66c2-59dc-4a5e-afcb-86ab9de6ab7a · outbound
This paper cites 2022 , journal =.
The two clocks and the innovation window: When and how generative models learn rules 2022 , journal =
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T20:21:50.856617Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b207c980-0564-4767-8168-bf100ea1c3a6 · outbound
This paper cites Self-Attention Networks Can Process Bounded Hierarchical Languages.
The two clocks and the innovation window: When and how generative models learn rules Self-Attention Networks Can Process Bounded Hierarchical Languages
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T03:16:18.595893Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 61635c44-d769-40d0-ba28-64a7e496a38c · outbound
This paper cites The Twelfth International Conference on Learning Representations.
The two clocks and the innovation window: When and how generative models learn rules The Twelfth International Conference on Learning Representations
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T20:21:50.866918Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6eeb4835-b7ff-48a8-a20d-274c8fa84647 · outbound
This paper cites 2025 , journal =.
The two clocks and the innovation window: When and how generative models learn rules 2025 , journal =
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T20:21:50.870725Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation dde3d031-5893-46c2-8db7-eaa2109da7ac · outbound
This paper cites Neural Information Processing Systems , year =.
The two clocks and the innovation window: When and how generative models learn rules Neural Information Processing Systems , year =
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T20:21:50.874457Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 04b57830-f66a-4b40-8eeb-e86808d59166 · outbound
This paper cites T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models.
The two clocks and the innovation window: When and how generative models learn rules T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models
Reference 20
- Resolution
- metadata mismatch
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 4440eec2-80a8-4374-8930-7888f01f4e8a · outbound
This paper cites Tight pair query lower bounds for matching and earth mover’s distance.
The two clocks and the innovation window: When and how generative models learn rules Tight pair query lower bounds for matching and earth mover’s distance
Reference 21
- Resolution
- metadata mismatch
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 20c00766-4af4-499a-aa31-f777aeb04503 · outbound
This paper cites 2025 , journal =.
The two clocks and the innovation window: When and how generative models learn rules 2025 , journal =
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T20:21:50.852856Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 167055f0-92c4-450f-b669-f33a9ab07c69 · outbound
This paper cites 2024 , journal =.
The two clocks and the innovation window: When and how generative models learn rules 2024 , journal =
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T20:21:50.841217Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 58fa1deb-52f8-45c1-95b3-a2c3783541e8 · outbound
This paper cites SGD learning on neural networks: leap complexity and saddle-to-saddle dynamics.
The two clocks and the innovation window: When and how generative models learn rules SGD learning on neural networks: leap complexity and saddle-to-saddle dynamics
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T03:16:18.051877Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0e1fa982-846e-4736-939f-d6b9a6cb4899 · outbound
This paper cites 2025 , journal =.
The two clocks and the innovation window: When and how generative models learn rules 2025 , journal =
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T20:21:50.921942Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 303ec49c-3c8d-4385-b4fd-977844d79869 · outbound
This paper cites Simplicity Bias in Transformers and their Ability to Learn Sparse Boolean Functions.
The two clocks and the innovation window: When and how generative models learn rules Simplicity Bias in Transformers and their Ability to Learn Sparse Boolean Functions
Reference 26
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T03:16:18.027875Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation cb2d66e0-8033-40fc-ab1d-53b89eab4983 · outbound
This paper cites 2023 , eprint=.
The two clocks and the innovation window: When and how generative models learn rules 2023 , eprint=
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T20:21:50.830221Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 18bd9b62-ca67-4b3d-9d4a-030526415e68 · outbound
This paper cites Journal of Machine Learning Research , volume =.
The two clocks and the innovation window: When and how generative models learn rules Journal of Machine Learning Research , volume =
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T20:21:50.836698Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 23e503bb-8466-4c57-bc8d-76337f2e461c · outbound
This paper cites Learning High-Degree Parities: The Crucial Role of the Initialization , booktitle =.
The two clocks and the innovation window: When and how generative models learn rules Learning High-Degree Parities: The Crucial Role of the Initialization , booktitle =
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T20:21:50.847333Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f2aede62-52e3-44ab-bbb5-a435336e71e3 · outbound
This paper cites Stochastic Interpolants: A Unifying Framework for Flows and Diffusions.
The two clocks and the innovation window: When and how generative models learn rules Stochastic Interpolants: A Unifying Framework for Flows and Diffusions
Reference 30
- Resolution
- metadata mismatch
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 98cd8730-486b-44cc-a7f3-02edbef3a788 · outbound
This paper cites 2024 , eprint=.
The two clocks and the innovation window: When and how generative models learn rules 2024 , eprint=
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T20:21:50.825223Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 9f7a3052-ab13-4012-b2fd-a69aee1f3dfe · outbound
This paper cites Towards a Mechanistic Explanation of Diffusion Model Generalization.
The two clocks and the innovation window: When and how generative models learn rules Towards a Mechanistic Explanation of Diffusion Model Generalization
Reference 32
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T03:16:18.619784Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 09ae1229-958c-4130-836c-f60611218d18 · outbound
This paper cites 2025 , eprint=.
The two clocks and the innovation window: When and how generative models learn rules 2025 , eprint=
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T20:21:50.878203Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a87c4e15-c37e-4504-a097-bf8e3adc29fd · outbound
This paper cites Align Your Latents.
The two clocks and the innovation window: When and how generative models learn rules Align Your Latents
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T20:21:50.882066Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c66083fd-0145-4b82-a76c-68075e28afe6 · outbound
This paper cites 2024 , eprint =.
The two clocks and the innovation window: When and how generative models learn rules 2024 , eprint =
Reference 35
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0df4a2b3-3a9d-4914-a3a5-abfc2d5baa98 · outbound
This paper cites arXiv preprint arXiv:2602.17846 , year=.
The two clocks and the innovation window: When and how generative models learn rules arXiv preprint arXiv:2602.17846 , year=
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T03:16:18.592940Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 8618f3a6-4700-4b18-b40a-c83708e7a669 · outbound
This paper cites PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis.
The two clocks and the innovation window: When and how generative models learn rules PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis
Reference 37
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T20:38:53.511834Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 9fdad174-3eae-4d0e-97c7-5a4f3fd11a56 · outbound
This paper cites Sampling Is as Easy as Learning the Score: Theory for Diffusion Models with Minimal Data Assumptions , booktitle =.
The two clocks and the innovation window: When and how generative models learn rules Sampling Is as Easy as Learning the Score: Theory for Diffusion Models with Minimal Data Assumptions , booktitle =
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T20:21:51.061970Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 355ff940-1c40-4809-80dd-856333aeb1e2 · outbound
This paper cites Deconstructing Denoising Diffusion Models for Self-Supervised Learning.
The two clocks and the innovation window: When and how generative models learn rules Deconstructing Denoising Diffusion Models for Self-Supervised Learning
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T03:16:18.610563Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a639dce5-5c35-4253-b2d5-ac4862adf93d · outbound
This paper cites Stargan v2.
The two clocks and the innovation window: When and how generative models learn rules Stargan v2
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T20:21:51.065574Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 189a632c-8786-4c1f-b3b5-60eb22324d4c · outbound
This paper cites Testing Relational Understanding in Text-Guided Image Generation.
The two clocks and the innovation window: When and how generative models learn rules Testing Relational Understanding in Text-Guided Image Generation
Reference 41
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T03:16:18.064800Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1d401f5a-6364-4ae5-a011-68597c54b3af · outbound
This paper cites 2025 , eprint=.
The two clocks and the innovation window: When and how generative models learn rules 2025 , eprint=
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T20:21:51.073520Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1f259e60-f672-481b-90cf-7ac6c5c38a1b · outbound
This paper cites Learning Mixtures of Gaussians Using Diffusion Models.
The two clocks and the innovation window: When and how generative models learn rules Learning Mixtures of Gaussians Using Diffusion Models
Reference 43
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T03:16:18.650739Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7b0f3de2-99a8-4474-b455-149cd0bc6483 · outbound
This paper cites 2020 , journal =.
The two clocks and the innovation window: When and how generative models learn rules 2020 , journal =
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T20:21:51.034516Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b4f0f9c4-fad0-41ac-bd6c-71f1202e2178 · outbound
This paper cites Classifier-Free Diffusion Guidance.
The two clocks and the innovation window: When and how generative models learn rules Classifier-Free Diffusion Guidance
Reference 45
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T03:16:18.653459Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation bb81c94a-fcaf-415e-8347-03837e1ef961 · outbound
This paper cites Video Diffusion Models , booktitle =.
The two clocks and the innovation window: When and how generative models learn rules Video Diffusion Models , booktitle =
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T20:21:51.030878Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 10dfa693-7da1-40dd-beb9-a416722dcacc · outbound
This paper cites 2005 , month = dec, journal =.
The two clocks and the innovation window: When and how generative models learn rules 2005 , month = dec, journal =
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T20:21:51.038908Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 8a619527-9aec-4fb5-8648-fc47b2f8c06e · outbound
This paper cites Analyzing and Improving the Training Dynamics of Diffusion Models.
The two clocks and the innovation window: When and how generative models learn rules Analyzing and Improving the Training Dynamics of Diffusion Models
Reference 48
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T03:16:18.100901Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 37f75ce8-8bb8-4c86-a9af-ecfe801c071f · outbound
This paper cites 2024 , eprint=.
The two clocks and the innovation window: When and how generative models learn rules 2024 , eprint=
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T20:21:51.023996Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d2549214-8fe6-4fdf-aa59-3c099caa73fc · outbound
This paper cites an unresolved cited work.
The two clocks and the innovation window: When and how generative models learn rules Unresolved cited work
Reference 50
- Resolution
- unresolved
- raw_fallback, observed 2026-05-12T20:21:51.020919Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 386e4a5e-4001-4dd2-adc8-42c0b657bc23 · outbound
This paper cites PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior.
The two clocks and the innovation window: When and how generative models learn rules PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior
Reference 51
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T03:16:18.628232Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 86da8b83-640b-40e8-bb64-d8bc8de1b564 · outbound
This paper cites Pseudo Numerical Methods for Diffusion Models on Manifolds.
The two clocks and the innovation window: When and how generative models learn rules Pseudo Numerical Methods for Diffusion Models on Manifolds
Reference 52
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T03:16:18.660649Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d70ad9b8-65e1-478b-a5ea-ddf5def51889 · outbound
This paper cites DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models.
The two clocks and the innovation window: When and how generative models learn rules DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models
Reference 53
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T07:54:11.877839Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ab17f360-7b20-41e0-8e1d-1ab13e0678c6 · outbound
This paper cites Dpm-Solver.
The two clocks and the innovation window: When and how generative models learn rules Dpm-Solver
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T20:21:51.042695Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f897c324-07b3-4bdc-9c55-35ffd910e7a6 · outbound
This paper cites SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers.
The two clocks and the innovation window: When and how generative models learn rules SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers
Reference 55
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T03:16:18.047678Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 224d6f71-79d6-4745-8169-484b46f2278e · outbound
This paper cites Compositional Abilities Emerge Multiplicatively: Exploring Diffusion Models on a Synthetic Task.
The two clocks and the innovation window: When and how generative models learn rules Compositional Abilities Emerge Multiplicatively: Exploring Diffusion Models on a Synthetic Task
Reference 56
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T03:16:18.114385Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 900b57f8-71b6-410e-bfba-edd437d20b23 · outbound
This paper cites Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space.
The two clocks and the innovation window: When and how generative models learn rules Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space
Reference 57
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T03:16:18.068530Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1b016c92-8e4a-4e05-afac-400d147c1767 · outbound
This paper cites PFGM++: Unlocking the Potential of Physics-Inspired Generative Models.
The two clocks and the innovation window: When and how generative models learn rules PFGM++: Unlocking the Potential of Physics-Inspired Generative Models
Reference 59
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T03:16:18.061098Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 885d1348-bb3e-47aa-a1db-1ac97ad3a9dd · outbound
This paper cites Diffusion models for Gaussian distributions: Exact solutions and Wasserstein errors.
The two clocks and the innovation window: When and how generative models learn rules Diffusion models for Gaussian distributions: Exact solutions and Wasserstein errors
Reference 60
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T03:16:18.622479Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 77a601ab-ad39-4f18-bacc-c94637791387 · outbound
This paper cites Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.
The two clocks and the innovation window: When and how generative models learn rules Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Reference 61
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T05:37:56.023799Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3031d66b-a68c-400f-963f-67447a046609 · outbound
This paper cites High-Resolution Image Synthesis with Latent Diffusion Models , booktitle =.
The two clocks and the innovation window: When and how generative models learn rules High-Resolution Image Synthesis with Latent Diffusion Models , booktitle =
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T20:21:51.050692Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b17605ec-3c3a-446b-a1db-419956a8b0e8 · outbound
This paper cites High-Resolution Image Synthesis with Latent Diffusion Models.
The two clocks and the innovation window: When and how generative models learn rules High-Resolution Image Synthesis with Latent Diffusion Models
Reference 63
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T03:16:18.037624Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 4c4711fa-d049-498f-bc17-707002fe9374 · outbound
This paper cites Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding.
The two clocks and the innovation window: When and how generative models learn rules Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding
Reference 64
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T07:38:54.138183Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 35884d23-873f-4d2a-a839-57a7cf5da61a · outbound
This paper cites Closed-Form Diffusion Models.
The two clocks and the innovation window: When and how generative models learn rules Closed-Form Diffusion Models
Reference 65
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T03:16:18.645436Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 9c3fd01b-b07d-4946-b321-1640d1409fe1 · outbound
This paper cites 2023 , journal =.
The two clocks and the innovation window: When and how generative models learn rules 2023 , journal =
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T20:21:51.007050Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 55958599-a9f5-47af-ab36-3b23ec651d41 · outbound
This paper cites Sliced Score Matching: A Scalable Approach to Density and Score Estimation , booktitle =.
The two clocks and the innovation window: When and how generative models learn rules Sliced Score Matching: A Scalable Approach to Density and Score Estimation , booktitle =
Reference 67
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T20:21:51.010625Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f2a557da-c355-4d5f-98c0-2b2e617213f0 · outbound
This paper cites Generative Modeling by Estimating Gradients of the Data Distribution , booktitle =.
The two clocks and the innovation window: When and how generative models learn rules Generative Modeling by Estimating Gradients of the Data Distribution , booktitle =
Reference 68
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T20:21:50.999282Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c5b7e07a-0248-4dfa-ac50-7dccaa5d2e26 · outbound
This paper cites Denoising Diffusion Implicit Models.
The two clocks and the innovation window: When and how generative models learn rules Denoising Diffusion Implicit Models
Reference 69
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T03:16:18.625246Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 301e515e-f163-4294-900f-52bb2a34748e · outbound
This paper cites Score-Based Generative Modeling through Stochastic Differential Equations , booktitle =.
The two clocks and the innovation window: When and how generative models learn rules Score-Based Generative Modeling through Stochastic Differential Equations , booktitle =
Reference 70
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T20:21:50.995633Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 159f8dee-0929-4e47-9eac-f224bf1819e5 · outbound
This paper cites What the DAAM: Interpreting Stable Diffusion Using Cross Attention.
The two clocks and the innovation window: When and how generative models learn rules What the DAAM: Interpreting Stable Diffusion Using Cross Attention
Reference 71
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T03:16:18.598762Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 9931a627-857a-4468-beca-3fdbfbd900c0 · outbound
This paper cites 2011 , journal =.
The two clocks and the innovation window: When and how generative models learn rules 2011 , journal =
Reference 72
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T20:21:51.002855Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 212d5f08-37e9-4920-a98d-1eb0107397e7 · outbound
This paper cites A Geometric Analysis of Deep Generative Image Models and Its Applications , booktitle =.
The two clocks and the innovation window: When and how generative models learn rules A Geometric Analysis of Deep Generative Image Models and Its Applications , booktitle =
Reference 73
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T20:21:51.014663Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 82968527-4f9a-4b4d-bd8e-04a1579ad575 · outbound
This paper cites Diffusion Models Generate Images Like Painters: an Analytical Theory of Outline First, Details Later.
The two clocks and the innovation window: When and how generative models learn rules Diffusion Models Generate Images Like Painters: an Analytical Theory of Outline First, Details Later
Reference 74
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T03:16:18.642183Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation cf07aa6c-e728-4321-94f6-a9b68653132a · outbound
This paper cites The Hidden Linear Structure in Score-Based Models and its Application.
The two clocks and the innovation window: When and how generative models learn rules The Hidden Linear Structure in Score-Based Models and its Application
Reference 75
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T03:16:18.106842Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1a9d791a-3449-43fa-8d65-8ec411986ab6 · outbound
This paper cites Relational Composition in Neural Networks: A Survey and Call to Action.
The two clocks and the innovation window: When and how generative models learn rules Relational Composition in Neural Networks: A Survey and Call to Action
Reference 76
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T03:16:18.022827Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 8b40defd-7d8e-4c6e-a7d2-0ae413a78bfd · outbound
This paper cites Score-Based Generative Model Learn Manifold-like Structures with Constrained Mixing , booktitle =.
The two clocks and the innovation window: When and how generative models learn rules Score-Based Generative Model Learn Manifold-like Structures with Constrained Mixing , booktitle =
Reference 77
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T20:21:50.984766Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 750e690f-87ba-4c8e-a1b9-54640a9de070 · outbound
This paper cites Score-based generative models learn manifold-like structures with constrained mixing.
The two clocks and the innovation window: When and how generative models learn rules Score-based generative models learn manifold-like structures with constrained mixing
Reference 78
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T03:16:18.631214Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation cd30a241-b0b6-40f5-915c-c947e72f0a16 · outbound
This paper cites Making Text-to-Image Diffusion Models Zero-Shot Image-to-Image Editors by Inferring ''random Seeds'' , booktitle =.
The two clocks and the innovation window: When and how generative models learn rules Making Text-to-Image Diffusion Models Zero-Shot Image-to-Image Editors by Inferring ''random Seeds'' , booktitle =
Reference 79
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T20:21:50.981205Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 16dd242b-8ce0-49c0-9206-831ddb2909a9 · outbound
This paper cites SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers.
The two clocks and the innovation window: When and how generative models learn rules SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers
Reference 80
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T00:56:50.121098Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 68acda0d-9ce9-4bbe-934b-b1f22eaaebca · outbound
This paper cites editor =.
The two clocks and the innovation window: When and how generative models learn rules editor =
Reference 81
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T20:21:50.988447Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation fb23f5aa-fb51-4240-af71-8754bc85c3a7 · outbound
This paper cites Diffusion models: A comprehensive survey of methods and applications.
The two clocks and the innovation window: When and how generative models learn rules Diffusion models: A comprehensive survey of methods and applications
Reference 82
- Resolution
- metadata mismatch
- doi, observed 2026-05-12T03:16:18.103561Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 25bdafa7-3e45-472b-91bc-f40a78d80c5c · outbound
This paper cites On the Generalization of Diffusion Model.
The two clocks and the innovation window: When and how generative models learn rules On the Generalization of Diffusion Model
Reference 83
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T03:16:18.656856Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1fac1e8e-e5e5-4361-91f5-4ce8b730305f · outbound
This paper cites The Emergence of Reproducibility and Generalizability in Diffusion Models.
The two clocks and the innovation window: When and how generative models learn rules The Emergence of Reproducibility and Generalizability in Diffusion Models
Reference 84
- Resolution
- verified exact
- arxiv_id, observed 2026-06-10T02:11:08.597866Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b1e13ccb-6f5f-4b8f-a305-6a262ea43c02 · outbound
This paper cites an unresolved cited work.
The two clocks and the innovation window: When and how generative models learn rules Unresolved cited work
Reference 85
- Resolution
- unresolved
- raw_fallback, observed 2026-05-12T20:21:50.973638Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7dd04da5-488b-4207-9a9f-ca821a7b3c61 · outbound
This paper cites Dpm-Solver-v3.
The two clocks and the innovation window: When and how generative models learn rules Dpm-Solver-v3
Reference 86
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T20:21:51.027382Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 58cbb2ef-094d-4072-98ce-fb99ed7e0bcc · outbound
This paper cites Flow Matching for Generative Modeling.
The two clocks and the innovation window: When and how generative models learn rules Flow Matching for Generative Modeling
Reference 87
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-12T03:16:18.072714Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b260b38d-acdc-40c4-8db2-7c3cf7067372 · outbound
This paper cites Prompt-to-prompt image editing with cross attention control , journal =.
The two clocks and the innovation window: When and how generative models learn rules Prompt-to-prompt image editing with cross attention control , journal =
Reference 88
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T20:21:50.970367Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d6d3e46c-b416-421d-8e88-7fe66e663904 · outbound
This paper cites Towards Understanding Cross and Self-Attention in Stable Diffusion for Text-Guided Image Editing.
The two clocks and the innovation window: When and how generative models learn rules Towards Understanding Cross and Self-Attention in Stable Diffusion for Text-Guided Image Editing
Reference 89
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T03:16:18.097450Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 2ddf2174-6d03-477b-aafc-2a30708e2a3d · outbound
This paper cites Advances in Neural Information Processing Systems , volume=.
The two clocks and the innovation window: When and how generative models learn rules Advances in Neural Information Processing Systems , volume=
Reference 90
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T20:21:50.977102Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 8cdadffa-539a-47b3-b7a1-d31b5f92c2a5 · outbound
This paper cites 2025 , number=.
The two clocks and the innovation window: When and how generative models learn rules 2025 , number=
Reference 91
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T20:21:50.992184Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7a369bb9-970f-4290-bf4b-bdc8da5ce2a7 · outbound
This paper cites 2023 , eprint=.
The two clocks and the innovation window: When and how generative models learn rules 2023 , eprint=
Reference 92
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T20:21:51.017735Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f48db9d1-ac21-425e-87c5-ec026f527482 · outbound
This paper cites 2023 , eprint=.
The two clocks and the innovation window: When and how generative models learn rules 2023 , eprint=
Reference 93
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T20:21:51.046417Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b1a31b3b-71d9-42a2-92d6-0fddd353e756 · outbound
This paper cites 2023 , eprint=.
The two clocks and the innovation window: When and how generative models learn rules 2023 , eprint=
Reference 94
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T20:21:50.966242Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation bb29d332-f306-4a1d-aa9d-04380203bc26 · outbound
This paper cites 2024 , eprint=.
The two clocks and the innovation window: When and how generative models learn rules 2024 , eprint=
Reference 95
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T20:21:50.947109Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 80ee4bd1-c268-4a5d-aa36-3e8637bbba88 · outbound
This paper cites The Thirteenth International Conference on Learning Representations , year=.
The two clocks and the innovation window: When and how generative models learn rules The Thirteenth International Conference on Learning Representations , year=
Reference 96
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T20:21:50.950447Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 89a1113b-e815-43c0-b246-1dba6d44c16e · outbound
This paper cites 2022 , eprint=.
The two clocks and the innovation window: When and how generative models learn rules 2022 , eprint=
Reference 97
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T20:21:50.940349Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a13ebc7a-068d-4f51-8db2-5e483b9556fa · outbound
This paper cites 2023 , eprint=.
The two clocks and the innovation window: When and how generative models learn rules 2023 , eprint=
Reference 98
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T20:21:50.937339Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 9f54f79e-3400-4f0e-887c-e5c6da3e4ef3 · outbound
This paper cites Proceedings of the IEEE/CVF international conference on computer vision , pages=.
The two clocks and the innovation window: When and how generative models learn rules Proceedings of the IEEE/CVF international conference on computer vision , pages=
Reference 99
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T20:21:50.943497Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e9b2e5ac-51c8-447e-acf7-7808fd44538a · outbound
This paper cites IEEE Transactions on Visualization and Computer Graphics , volume=.
The two clocks and the innovation window: When and how generative models learn rules IEEE Transactions on Visualization and Computer Graphics , volume=
Reference 100
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T20:21:50.953310Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 329535b5-c046-4a14-94ad-7a5fe867bd4e · outbound
This paper cites Advances in neural information processing systems , volume=.
The two clocks and the innovation window: When and how generative models learn rules Advances in neural information processing systems , volume=
Reference 101
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T20:21:50.958552Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Pith citing papers
Observation 760134e7-2f87-4c80-82da-d6c901e5e89f · inbound
Evaluating the Representation Space of Diffusion Models via Self-Supervised Principles cites this paper.
Evaluating the Representation Space of Diffusion Models via Self-Supervised Principles The two clocks and the innovation window: When and how generative models learn rules
Reference 76
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T23:57:28.813909Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.