Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-27T06:51:31.625416Z
Paper Citation Record · LEDGER
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation
As of 7 August 2026, this Paper Citation Record lists 76 of 76 outbound references and 0 inbound Pith citation observations for arXiv:2606.13768.
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
76 of 76 outbound references displayed
- verified exact24
- verified fuzzy0
- unresolved51
- parse uncertain0
- malformed identifier1
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation f6104b72-b142-44d4-9371-71eb3b1ff32c · outbound
This paper cites Ac3d: Analyzing and improving 3d camera control in video diffusion transformers.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation Ac3d: Analyzing and improving 3d camera control in video diffusion transformers
Reference 1
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ea5016a8-e1d7-4f0b-b8c0-53a10d266f18 · outbound
This paper cites Lindell, and Sergey Tulyakov.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation Lindell, and Sergey Tulyakov
Reference 2
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7ce5cee6-92f1-4e3c-8519-193f641a8eb4 · outbound
This paper cites Recammaster: Camera-controlled generative rendering from a single video.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation Recammaster: Camera-controlled generative rendering from a single video
Reference 3
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9e23e60b-4d0b-4f02-b86a-74624d7c3ab5 · outbound
This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets
Reference 4
- Resolution
- verified exact
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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 2bbd54e3-6be3-4b19-b9a5-20b4eaff7e43 · outbound
This paper cites Align your latents: High-resolution video synthesis with latent diffusion models.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation Align your latents: High-resolution video synthesis with latent diffusion models
Reference 5
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 015daa91-bbf9-453e-9494-49316ec3cdc6 · outbound
This paper cites Video generation models as world simulators.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation Video generation models as world simulators
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:51:31.625416Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e2367946-0b23-41b0-b75d-df4b5a36d4f9 · outbound
This paper cites Emerging properties in self-supervised vision transformers.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation Emerging properties in self-supervised vision transformers
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:51:31.625416Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e1744c67-9dbb-4be7-80a3-7d97eacb7b11 · outbound
This paper cites VideoCrafter1: Open Diffusion Models for High-Quality Video Generation.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation VideoCrafter1: Open Diffusion Models for High-Quality Video Generation
Reference 8
- Resolution
- verified exact
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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 30dde09f-2aff-4682-a7b2-cb0edd88e2f8 · outbound
This paper cites VideoCrafter2: Overcoming data limitations for high-quality video diffusion models.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation VideoCrafter2: Overcoming data limitations for high-quality video diffusion models
Reference 9
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 78e66e4e-123a-44f7-abad-d37aeea71e56 · outbound
This paper cites Motion-Conditioned Diffusion Model for Controllable Video Synthesis.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation Motion-Conditioned Diffusion Model for Controllable Video Synthesis
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T14:58:32.692480Z
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 f7466fc9-82a0-4e9b-a9b0-0178d7a6a69b · outbound
This paper cites Panda-70m: Captioning 70m videos with multiple cross-modality teachers.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation Panda-70m: Captioning 70m videos with multiple cross-modality teachers
Reference 11
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 02e4881a-43cf-40f6-87ad-cf6d14068d64 · outbound
This paper cites Multi-subject open-set personalization in video generation.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation Multi-subject open-set personalization in video generation
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:51:31.625416Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 38a82a05-6ec5-427c-b0aa-7976e2a684eb · outbound
This paper cites Omni-attribute: Open-vocabulary attribute encoder for visual concept personalization.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation Omni-attribute: Open-vocabulary attribute encoder for visual concept personalization
Reference 13
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation df26ffff-10bf-4f80-8012-3f417272d535 · outbound
This paper cites Canvas-to-image: Compositional image generation with multimodal controls.ACM TOG, 2026.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation Canvas-to-image: Compositional image generation with multimodal controls.ACM TOG, 2026
Reference 14
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation feb0b589-15bf-42db-8c8e-8155e14c3e28 · outbound
This paper cites MAGREF: Masked guidance for any-reference video generation with subject disentanglement.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation MAGREF: Masked guidance for any-reference video generation with subject disentanglement
Reference 15
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b412c0f4-fca4-4d8a-ab09-8263b91d6f75 · outbound
This paper cites VIMI: Grounding video generation through multi-modal instruction.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation VIMI: Grounding video generation through multi-modal instruction
Reference 16
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 929fbd2a-cce8-4503-a2d1-03045acf5f06 · outbound
This paper cites SkyReels-A2: Compose Anything in Video Diffusion Transformers.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation SkyReels-A2: Compose Anything in Video Diffusion Transformers
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T14:58:32.689770Z
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 4d28c185-364a-4c55-b4a6-b031e187ab2d · outbound
This paper cites An image is worth one word: Personalizing text-to-image generation using textual inversion.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation An image is worth one word: Personalizing text-to-image generation using textual inversion
Reference 18
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a3b9ad1a-1a8c-492a-91c1-23ee646d103b · outbound
This paper cites Alchemint: Fine-grained temporal control for multi-reference consistent video generation.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation Alchemint: Fine-grained temporal control for multi-reference consistent video generation
Reference 19
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 31c8dce4-6e5e-43a0-82d2-fb402b0ae8bc · outbound
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CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation Unresolved cited work
Reference 20
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 87b5f316-5e8b-4c7f-9c63-38ac4f0b23bb · outbound
This paper cites an unresolved cited work.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation Unresolved cited work
Reference 21
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f6f76064-a709-453d-8bae-6cd9d01a20cf · outbound
This paper cites Animatediff: Animate your personalized text-to-image diffusion models without specific tuning.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation Animatediff: Animate your personalized text-to-image diffusion models without specific tuning
Reference 22
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 20a1df95-1002-44f9-8334-5eb662953502 · outbound
This paper cites Photorealistic video generation with diffusion models.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation Photorealistic video generation with diffusion models
Reference 23
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ec0880b4-3cb2-4a5f-9d5b-efcfc77b4487 · outbound
This paper cites LTX-Video: Realtime Video Latent Diffusion.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation LTX-Video: Realtime Video Latent Diffusion
Reference 24
- Resolution
- verified exact
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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 2991f70d-87ea-45ff-8bbd-249844bf6057 · outbound
This paper cites Cameractrl: Enabling camera control for video diffusion models.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation Cameractrl: Enabling camera control for video diffusion models
Reference 25
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e2c5fa17-c872-431f-8061-452c9d54644c · outbound
This paper cites Imagen Video: High Definition Video Generation with Diffusion Models.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation Imagen Video: High Definition Video Generation with Diffusion Models
Reference 26
- Resolution
- verified exact
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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 8bbab9ab-8248-484d-aacb-7312312f60a3 · outbound
This paper cites Denoising diffusion probabilistic models.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation Denoising diffusion probabilistic models
Reference 27
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c48f48a8-2d47-4c20-8cf7-c7bc595fc5f1 · outbound
This paper cites Classifier-free diffusion guidance.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation Classifier-free diffusion guidance
Reference 28
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 89f93e06-7771-4823-bba6-641603b04eab · outbound
This paper cites Video diffusion models.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation Video diffusion models
Reference 29
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dbcb1a7e-0dca-4051-bdbc-f1294d9c43a6 · outbound
This paper cites ConceptMaster: Multi-Concept Video Customization on Diffusion Transformer Models Without Test-Time Tuning.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation ConceptMaster: Multi-Concept Video Customization on Diffusion Transformer Models Without Test-Time Tuning
Reference 30
- Resolution
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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 404a22c2-d98f-4e00-8ea1-83934ed2eacd · outbound
This paper cites Vace: All-in-one video creation and editing.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation Vace: All-in-one video creation and editing
Reference 31
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aad4d851-8205-40c0-ad81-8be58366c0a8 · outbound
This paper cites Analyzing and improving the training dynamics of diffusion models.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation Analyzing and improving the training dynamics of diffusion models
Reference 32
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b2c3d81d-0f4f-4103-9115-e42669359b5f · outbound
This paper cites YOLOv11: An Overview of the Key Architectural Enhancements.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation YOLOv11: An Overview of the Key Architectural Enhancements
Reference 33
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Source-reported events for the cited work
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Observation b851678e-88fe-4794-a0f0-0323fff329f5 · outbound
This paper cites Auto-Encoding Variational Bayes.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation Auto-Encoding Variational Bayes
Reference 34
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Source-reported events for the cited work
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Observation ec5c6c4a-abeb-4520-8b50-5767c89bb03d · outbound
This paper cites HunyuanVideo: A Systematic Framework For Large Video Generative Models.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation HunyuanVideo: A Systematic Framework For Large Video Generative Models
Reference 35
- Resolution
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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 41c00bd4-5b3e-44f5-af06-3eb83dc6d9e5 · outbound
This paper cites Multi-concept customization of text-to-image diffusion.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation Multi-concept customization of text-to-image diffusion
Reference 36
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Observation 8f329e82-fb60-4342-b879-bdbe3100a1a9 · outbound
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CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation Unresolved cited work
Reference 37
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bb271991-7c05-4676-8f9a-492c64e91d39 · outbound
This paper cites Phantom: Subject-consistent video generation via cross-modal alignment.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation Phantom: Subject-consistent video generation via cross-modal alignment
Reference 38
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 611ee308-1d3a-46b0-8d65-8d44032dbacd · outbound
This paper cites Grounding dino: Marrying dino with grounded pre-training for open-set object detection.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation Grounding dino: Marrying dino with grounded pre-training for open-set object detection
Reference 39
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b20959e3-fed8-4722-8c2a-e68a6d169ef2 · outbound
This paper cites Flow straight and fast: Learning to generate and transfer data with rectified flow.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation Flow straight and fast: Learning to generate and transfer data with rectified flow
Reference 40
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4234153d-55c2-4b53-8b5f-00e9edb5de4a · outbound
This paper cites Decoupled Weight Decay Regularization.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation Decoupled Weight Decay Regularization
Reference 41
- Resolution
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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 b56ab870-cd7e-4432-a428-1d9c94b7cea3 · outbound
This paper cites Shotstream: Streaming multi-shot video generation for interactive storytelling.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation Shotstream: Streaming multi-shot video generation for interactive storytelling
Reference 42
- Resolution
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Source-reported events for the cited work
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Observation d70daff3-0009-4dee-86e2-888dac9bfb02 · outbound
This paper cites Snap video: Scaled spatiotemporal transformers for text-to-video synthesis.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation Snap video: Scaled spatiotemporal transformers for text-to-video synthesis
Reference 43
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4ac015e7-79ba-4e6e-b96c-2b9ee440e29d · outbound
This paper cites DINOv2: Learning Robust Visual Features without Supervision.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation DINOv2: Learning Robust Visual Features without Supervision
Reference 44
- Resolution
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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 8ff06ff5-d427-43c8-9468-8a6f1be3e2ed · outbound
This paper cites Scalable diffusion models with transformers.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation Scalable diffusion models with transformers
Reference 45
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 37904cc5-059d-4c5f-85aa-0fee332f9c6e · outbound
This paper cites Movie Gen: A Cast of Media Foundation Models.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation Movie Gen: A Cast of Media Foundation Models
Reference 46
- Resolution
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Source-reported events for the cited work
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Observation ca975ae9-8356-4c32-8f55-12c3608b0896 · outbound
This paper cites Layercomposer: Interactive personalized t2i via spatially-aware layered canvas.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation Layercomposer: Interactive personalized t2i via spatially-aware layered canvas
Reference 47
- Resolution
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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 f0bdf0d8-1a0a-4f88-b247-166b3cbaf444 · outbound
This paper cites Learning transferable visual models from natural language supervision.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation Learning transferable visual models from natural language supervision
Reference 48
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 52072d23-5343-42ab-9bb5-5b13710bbc9f · outbound
This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation Exploring the limits of transfer learning with a unified text-to-text transformer
Reference 49
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1f33f638-54a3-4c44-8939-1a58bb149832 · outbound
This paper cites SAM 2: Segment Anything in Images and Videos.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation SAM 2: Segment Anything in Images and Videos
Reference 50
- Resolution
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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 168c4d45-fd82-4e33-bef5-a80b19ae8023 · outbound
This paper cites High-resolution image synthesis with latent diffusion models.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation High-resolution image synthesis with latent diffusion models
Reference 51
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 60d0a075-5422-4c88-aab4-913227e6b0c2 · outbound
This paper cites U-net: Convolutional networks for biomedical image segmentation.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation U-net: Convolutional networks for biomedical image segmentation
Reference 52
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0c244490-2848-498c-b116-72218a63458f · outbound
This paper cites Dream- booth: Fine tuning text-to-image diffusion models for subject-driven generation.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation Dream- booth: Fine tuning text-to-image diffusion models for subject-driven generation
Reference 53
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3c720a4a-a65a-42d2-b289-c4a92beb2d3b · outbound
This paper cites Instantbooth: Personalized text-to-image generation without test-time finetuning.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation Instantbooth: Personalized text-to-image generation without test-time finetuning
Reference 54
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- unresolved
- no resolver link, observed 2026-06-27T06:51:31.625416Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 16ea7515-21c2-4db1-b28a-e07a16005868 · outbound
This paper cites Make-a-video: Text-to-video generation without text-video data.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation Make-a-video: Text-to-video generation without text-video data
Reference 55
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- unresolved
- no resolver link, observed 2026-06-27T06:51:31.625416Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1d128ae0-929f-485f-a68c-b5d3f4e60c49 · outbound
This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation Deep unsupervised learning using nonequilibrium thermodynamics
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:51:31.625416Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9c89c692-3b50-46fd-bfcc-0623289bd7db · outbound
This paper cites Generative modeling by estimating gradients of the data distribution.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation Generative modeling by estimating gradients of the data distribution
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:51:31.625416Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f4d14097-7200-445e-b35b-e1a56d76d4d1 · outbound
This paper cites Roformer: Enhanced transformer with rotary position embedding.Neurocomputing, 2024.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation Roformer: Enhanced transformer with rotary position embedding.Neurocomputing, 2024
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:51:31.625416Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 991111a4-6f70-49aa-98f7-b9d74bee78d1 · outbound
This paper cites Qwen3.5-Omni Technical Report.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation Qwen3.5-Omni Technical Report
Reference 59
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T14:58:32.682380Z
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 b561600a-770c-4c56-98a5-26e4adce2ddc · outbound
This paper cites Attention is all you need.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation Attention is all you need
Reference 60
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:51:31.625416Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 77267649-46f7-4057-bd89-aedd6e2a3860 · outbound
This paper cites Wan: Open and Advanced Large-Scale Video Generative Models.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation Wan: Open and Advanced Large-Scale Video Generative Models
Reference 61
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T14:58:32.646463Z
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 ce45a103-ef1e-4b33-9831-a1f8085f576b · outbound
This paper cites Echoshot: Multi-shot portrait video generation.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation Echoshot: Multi-shot portrait video generation
Reference 62
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:51:31.625416Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 79e59e81-3d6f-4707-862e-9a48206763e6 · outbound
This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
Reference 63
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T14:58:32.699096Z
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 155faac5-5c1a-4051-a82b-47ccaee73fcc · outbound
This paper cites InstantID: Zero-shot Identity-Preserving Generation in Seconds.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation InstantID: Zero-shot Identity-Preserving Generation in Seconds
Reference 64
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T14:58:32.672973Z
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 81dba3ff-edd7-4923-8f01-1d434024e175 · outbound
This paper cites Multishotmaster: A controllable multi-shot video generation framework.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation Multishotmaster: A controllable multi-shot video generation framework
Reference 65
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:51:31.625416Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e7d0ea8d-a8ac-4dfc-b040-1b0fde765500 · outbound
This paper cites Internvid: A large-scale video-text dataset for multimodal understanding and generation.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation Internvid: A large-scale video-text dataset for multimodal understanding and generation
Reference 66
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:51:31.625416Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 298abd9b-abef-4d23-bef4-ee332f59169d · outbound
This paper cites InternVideo: General Video Foundation Models via Generative and Discriminative Learning.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation InternVideo: General Video Foundation Models via Generative and Discriminative Learning
Reference 67
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T14:58:32.699908Z
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 f993a9cf-8ee8-4f37-88e2-ff6c3014d967 · outbound
This paper cites Motionctrl: A unified and flexible motion controller for video generation.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation Motionctrl: A unified and flexible motion controller for video generation
Reference 68
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:51:31.625416Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b5ca9d57-bf4f-4b9d-96a3-20edc99b3089 · outbound
This paper cites Qwen-Image Technical Report.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation Qwen-Image Technical Report
Reference 69
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T14:58:32.684451Z
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 3fc1eacc-2cd6-46c4-8a12-e4780db5b8d0 · outbound
This paper cites Cinetrans: Learning to generate videos with cinematic transitions via masked diffusion models.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation Cinetrans: Learning to generate videos with cinematic transitions via masked diffusion models
Reference 70
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:51:31.625416Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5a4078be-78a6-4762-acc1-5017e4a0ffd9 · outbound
This paper cites Mind the time: Temporally-controlled multi-event video generation.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation Mind the time: Temporally-controlled multi-event video generation
Reference 71
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- unresolved
- no resolver link, observed 2026-06-27T06:51:31.625416Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b3138c81-0460-4087-bb9f-40f607229dd5 · outbound
This paper cites Cogvideox: Text-to-video diffusion models with an expert transformer.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation Cogvideox: Text-to-video diffusion models with an expert transformer
Reference 72
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:51:31.625416Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 99a10ca4-03b7-480d-8305-e8cd3c940e03 · outbound
This paper cites IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models
Reference 73
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T14:58:32.694799Z
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 86ad5365-d368-4850-a056-a7984a6b33c1 · outbound
This paper cites Tora2: Motion and appearance customized diffusion transformer for multi-entity video generation.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation Tora2: Motion and appearance customized diffusion transformer for multi-entity video generation
Reference 74
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:51:31.625416Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 43462894-aa82-40ca-b881-a46be9f8caab · outbound
This paper cites PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel
Reference 75
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T14:58:32.678800Z
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 27df140f-a41d-413f-a1c9-0491c03558ef · outbound
This paper cites CamI2V: Camera-Controlled Image-to-Video Diffusion Model.
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation CamI2V: Camera-Controlled Image-to-Video Diffusion Model
Reference 76
- Resolution
- malformed identifier
- arxiv_id, observed 2026-07-03T14:58:32.701652Z
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.