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Paper Citation Record · LEDGER

Phantom-Data : Towards a General Subject-Consistent Video Generation Dataset

As of 7 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 6 inbound Pith citation observations for arXiv:2506.18851.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2506.18851 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:20:12.568377Z

measured 55 of 55 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T05:01:36.599895Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-01T22:26:17.493582Z

Reference resolution

49 of 49 outbound references displayed

  • verified exact0
  • verified fuzzy13
  • unresolved36
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e054ca19-271c-42b6-8a20-7e96b239d4f7 · outbound

This paper cites https://app.klingai.com/cn/image-to-video/frame-mode/new.

Phantom-Data : Towards a General Subject-Consistent Video Generation Dataset https://app.klingai.com/cn/image-to-video/frame-mode/new

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-06T23:20:14.987254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:20:07.281280Z digest=sha256:d6852c405c65bbe94df4041b993266bd82c8f097e1b7a6a3bc53d25bdb34a1b5

Observation 936aa0b0-b79c-4a16-a8e4-7ed62334a08a · outbound

This paper cites Qwen2.5-VL Technical Report.

Phantom-Data : Towards a General Subject-Consistent Video Generation Dataset Qwen2.5-VL Technical Report

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:20:07.412919Z digest=sha256:9e0a41890418f0b9db50713bf913a50e82e4b9eb89e589bfaa59b6adf29c8269

Observation c5d73f85-b81a-4a94-99d3-fcf0bf3a9c45 · outbound

This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.

Phantom-Data : Towards a General Subject-Consistent Video Generation Dataset Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 3

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source=pdf_text observed=2026-08-06T23:20:07.559950Z digest=sha256:e785a8cb66df293a28e5fa2e3f39d5850f06b04188747facafe9729215346571

Observation 242bf04c-e758-4187-b6d1-cf2130d6b3c4 · outbound

This paper cites Video generation models as world simulators, 2024.

Phantom-Data : Towards a General Subject-Consistent Video Generation Dataset Video generation models as world simulators, 2024

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:20:07.661980Z digest=sha256:91c3ab8456b53ac6bbe831c7ed7b3687292023e68d3a0d5dc230db2416cc59a9

Observation 548c22ba-b600-4b5a-bf1d-30c42a03901e · outbound

This paper cites Goku: Flow Based Video Generative Foundation Models.

Phantom-Data : Towards a General Subject-Consistent Video Generation Dataset Goku: Flow Based Video Generative Foundation Models

Reference 5

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T23:20:07.782664Z digest=sha256:872edcdde78047fbce2c4d50488d2f1c1244dc335f95cf73f7aaed7bfaed8dd5

Observation ccb1ac78-a014-4123-8381-65deac622c07 · outbound

This paper cites Multi-subject Open-set Personalization in Video Generation.

Phantom-Data : Towards a General Subject-Consistent Video Generation Dataset Multi-subject Open-set Personalization in Video Generation

Reference 6

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source=pdf_text observed=2026-08-06T23:20:07.898058Z digest=sha256:adb706e00d1c9ae9bdd2dba6760158e329c491461910240729a690b34e1b04d8

Observation d8217f7b-09bc-4179-971b-4fc5e54330c7 · outbound

This paper cites Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling.

Phantom-Data : Towards a General Subject-Consistent Video Generation Dataset Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling

Reference 7

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source=pdf_text observed=2026-08-06T23:20:08.003946Z digest=sha256:076a433ac71e40cc5f5806befd01a75a402b49b734d837788889f0680466b464

Observation 971e06cd-2ee5-4ab8-a7fa-a831ca7511a0 · outbound

This paper cites Arcface: Additive angular margin loss for deep face recognition.

Phantom-Data : Towards a General Subject-Consistent Video Generation Dataset Arcface: Additive angular margin loss for deep face recognition

Reference 8

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source=pdf_text observed=2026-08-06T23:20:08.123630Z digest=sha256:7a7b7efc7e2178e621248d42ac52555420893422ae67ad988625fe11ae4af8f1

Observation 3e6fad62-7218-485c-ae16-187812f6a501 · outbound

This paper cites CINEMA: Coherent Multi-Subject Video Generation via MLLM-Based Guidance.

Phantom-Data : Towards a General Subject-Consistent Video Generation Dataset CINEMA: Coherent Multi-Subject Video Generation via MLLM-Based Guidance

Reference 9

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source=pdf_text observed=2026-08-06T23:20:08.256451Z digest=sha256:422666a64cf8b086d045279eeadfb58c6e3915babf285a1d5ea0736a67237a0d

Observation 3578d72a-dae4-4e0f-9541-0faced2c218e · outbound

This paper cites SkyReels-A2: Compose Anything in Video Diffusion Transformers.

Phantom-Data : Towards a General Subject-Consistent Video Generation Dataset SkyReels-A2: Compose Anything in Video Diffusion Transformers

Reference 10

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source=pdf_text observed=2026-08-06T23:20:08.358935Z digest=sha256:260e8a78a69d24d050684f6da999d5c409e6127822d75d113ce22210783aa473

Observation 57719d53-065c-4e7b-b3a9-0bc249ad4b04 · outbound

This paper cites I2vcontrol-camera: Precise video camera control with adjustable motion strength.

Phantom-Data : Towards a General Subject-Consistent Video Generation Dataset I2vcontrol-camera: Precise video camera control with adjustable motion strength

Reference 11

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raw_fallback, observed 2026-08-06T23:20:14.649542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:20:08.485574Z digest=sha256:917b1b4812221da413a6af09714598df7f57fd1a1b36c521a0936811577a4237

Observation 227326dc-bb45-4984-981c-ad6bb01eef67 · outbound

This paper cites Animatediff: Animate your personalized text-to-image diffusion models without specific tuning.

Phantom-Data : Towards a General Subject-Consistent Video Generation Dataset Animatediff: Animate your personalized text-to-image diffusion models without specific tuning

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:20:08.625636Z digest=sha256:802324f9bb9c43a3c646ddd0c5200ae54b417c9d858ad3fdf70440c1e39079ff

Observation ade09c8e-7940-458e-a4f2-31fbdbd37459 · outbound

This paper cites PuLID: Pure and Lightning ID Customization via Contrastive Alignment.

Phantom-Data : Towards a General Subject-Consistent Video Generation Dataset PuLID: Pure and Lightning ID Customization via Contrastive Alignment

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:20:08.734489Z digest=sha256:83887d8f51c210d2f7529fdd62adf68ff2af0f9910f1ef33dcfcff2c7ca97972

Observation 11c68245-bd68-4e00-8edf-4e413d3f47ed · outbound

This paper cites Classifier-Free Diffusion Guidance.

Phantom-Data : Towards a General Subject-Consistent Video Generation Dataset Classifier-Free Diffusion Guidance

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:20:08.795807Z digest=sha256:91d50c589d4acf6ab0f1be27bfe43be00f9fb1d8eec269ce373d5e8973d033dc

Observation e5b62196-1ce5-4a5b-a4a0-0392792676e0 · outbound

This paper cites Denoising diffusion probabilistic models.

Phantom-Data : Towards a General Subject-Consistent Video Generation Dataset Denoising diffusion probabilistic models

Reference 15

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source=pdf_text observed=2026-08-06T23:20:08.907570Z digest=sha256:4975fee491f36b8cd87f387d3807dbe57d94679052e1964da9e71cd8245f46d9

Observation 58f7b177-7e25-4ffd-9e74-4d96c07dd3e0 · outbound

This paper cites Animate anyone: Consistent and controllable image-to-video synthesis for character animation.

Phantom-Data : Towards a General Subject-Consistent Video Generation Dataset Animate anyone: Consistent and controllable image-to-video synthesis for character animation

Reference 16

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no resolver link, observed 2026-08-06T23:20:08.983118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:20:08.983118Z digest=sha256:615ed0f338275e5c74772d6f03d8ec4d84b1959e7cdb1878e0f1f1888cbff53d

Observation 4fe3aad9-1022-4d98-a760-24ab29b51e31 · outbound

This paper cites HunyuanCustom: A Multimodal-Driven Architecture for Customized Video Generation.

Phantom-Data : Towards a General Subject-Consistent Video Generation Dataset HunyuanCustom: A Multimodal-Driven Architecture for Customized Video Generation

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:20:09.055319Z digest=sha256:31bc3edf604365b0872a97c5dd4886b03a9708e75a7bba91db5306084f23c2e0

Observation 2f7e3dc0-1256-49f6-a739-3e6d4563e608 · outbound

This paper cites ConceptMaster: Multi-Concept Video Customization on Diffusion Transformer Models Without Test-Time Tuning.

Phantom-Data : Towards a General Subject-Consistent Video Generation Dataset ConceptMaster: Multi-Concept Video Customization on Diffusion Transformer Models Without Test-Time Tuning

Reference 18

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:20:09.114978Z digest=sha256:f6e12c6128b46cd6ee0973adeb7546f79b6eb9ad63c7a3988a9e27bd18747b6c

Observation 769b552b-9c95-4183-b04a-ada93d330dec · outbound

This paper cites Vbench: Comprehensive benchmark suite for video generative models.

Phantom-Data : Towards a General Subject-Consistent Video Generation Dataset Vbench: Comprehensive benchmark suite for video generative models

Reference 19

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raw_fallback, observed 2026-08-06T23:20:14.336502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:20:09.162659Z digest=sha256:91f6d84bf8cda9abc574e6d96beb06777a4cfa8f444ba23e529931dd4eaf2781

Observation 5f8fba00-c4c0-4fd9-98ff-0d666e4b8f59 · outbound

This paper cites VACE: All-in-One Video Creation and Editing.

Phantom-Data : Towards a General Subject-Consistent Video Generation Dataset VACE: All-in-One Video Creation and Editing

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:20:09.206886Z digest=sha256:76b5e4785433e040ce0b067cc6d403b640db1d147cda3021c71be10dc9872979

Observation 6d30fc64-2077-4d5d-b3d9-fb1fae6e4570 · outbound

This paper cites FullDiT: Multi-Task Video Generative Foundation Model with Full Attention.

Phantom-Data : Towards a General Subject-Consistent Video Generation Dataset FullDiT: Multi-Task Video Generative Foundation Model with Full Attention

Reference 21

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source=pdf_text observed=2026-08-06T23:20:09.305048Z digest=sha256:e99fed05f438806e7071e403cc64253e3eba660d3016f5ad067c9fa60fb4ffca

Observation ec7b89bf-d2d0-48a1-a74b-f7d73eb4e67c · outbound

This paper cites Videopoet: a large language model for zero-shot video generation.

Phantom-Data : Towards a General Subject-Consistent Video Generation Dataset Videopoet: a large language model for zero-shot video generation

Reference 22

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verified fuzzy
raw_fallback, observed 2026-08-06T23:20:14.163161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:20:09.407365Z digest=sha256:642ac8f5fc2b707afb2bef88c533f04c463662f555421f1914c335102e365e38

Observation c129c7a5-e80e-46b0-b21e-6dd4e20cd887 · outbound

This paper cites HunyuanVideo: A Systematic Framework For Large Video Generative Models.

Phantom-Data : Towards a General Subject-Consistent Video Generation Dataset HunyuanVideo: A Systematic Framework For Large Video Generative Models

Reference 23

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source=pdf_text observed=2026-08-06T23:20:09.515493Z digest=sha256:0e04c6d39c1e6acd2f0ebec18d89117e3b0bf82d5593051b72d344be099882a4

Observation 8f8ddeed-db8f-4a40-9ddb-f0c2b1ebc380 · outbound

This paper cites Movie Weaver: Tuning-Free Multi-Concept Video Personalization with Anchored Prompts.

Phantom-Data : Towards a General Subject-Consistent Video Generation Dataset Movie Weaver: Tuning-Free Multi-Concept Video Personalization with Anchored Prompts

Reference 24

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source=pdf_text observed=2026-08-06T23:20:09.663233Z digest=sha256:9578d2e5071da3ba1614d3620b47bcdbd029d4bb0a3afbf85cf47225ae88bc3b

Observation 87b65c95-68b9-4163-86f1-1f87160406fe · outbound

This paper cites Flow Matching for Generative Modeling.

Phantom-Data : Towards a General Subject-Consistent Video Generation Dataset Flow Matching for Generative Modeling

Reference 25

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source=pdf_text observed=2026-08-06T23:20:09.789388Z digest=sha256:843082f11db545ce60724c17d6a4b975b449e91b904aa4cfe3a5ce8cd3507b52

Observation c8e34aed-e30e-4720-8208-b41d58262609 · outbound

This paper cites Improving Video Generation with Human Feedback.

Phantom-Data : Towards a General Subject-Consistent Video Generation Dataset Improving Video Generation with Human Feedback

Reference 26

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source=pdf_text observed=2026-08-06T23:20:09.835019Z digest=sha256:66c73457bce9b526eab0f63d13c47fa44ef890f62d453d1853ad042fdeafb1c8

Observation cde2f2fb-60aa-483a-8704-ee42bd252af6 · outbound

This paper cites Phantom: Subject-consistent video generation via cross-modal alignment.

Phantom-Data : Towards a General Subject-Consistent Video Generation Dataset Phantom: Subject-consistent video generation via cross-modal alignment

Reference 27

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source=pdf_text observed=2026-08-06T23:20:09.885970Z digest=sha256:a2ede7a27234a207fb23ce400e3290d6a682f9fccf368746aa3c9a6a13202c07

Observation e32443b8-c6cc-45a4-b9b2-e08c609cd345 · outbound

This paper cites Flow straight and fast: Learning to generate and transfer data with rectified flow.

Phantom-Data : Towards a General Subject-Consistent Video Generation Dataset Flow straight and fast: Learning to generate and transfer data with rectified flow

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-06T23:20:13.994524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:20:09.945008Z digest=sha256:edee1e30d4ce6ba619795b1d8cd6dc9edb045b30daf0a8b5de3b611b14d74f10

Observation 6fc12ddd-5bd7-47c0-9aa3-6803ee8a27d2 · outbound

This paper cites Dreamo: A unified framework for image customization.arXiv preprint arXiv:2504.16915, 2025.

Phantom-Data : Towards a General Subject-Consistent Video Generation Dataset Dreamo: A unified framework for image customization.arXiv preprint arXiv:2504.16915, 2025

Reference 29

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source=pdf_text observed=2026-08-06T23:20:10.014742Z digest=sha256:f2bd286b2768287f069978daae5a590b566f73c5f01edd56412a2826031ac977

Observation bb18a231-7d10-40bf-9495-4b25aa743b7b · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Phantom-Data : Towards a General Subject-Consistent Video Generation Dataset DINOv2: Learning Robust Visual Features without Supervision

Reference 30

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source=pdf_text observed=2026-08-06T23:20:10.131887Z digest=sha256:8f2926110355aba9a601c0261200d74c60ab82b30450e641205a46df419c989b

Observation 4d755b7a-55be-4e1e-b26e-43458ca8b5fa · outbound

This paper cites Dinov2: Learning robust visual features without supervision.

Phantom-Data : Towards a General Subject-Consistent Video Generation Dataset Dinov2: Learning robust visual features without supervision

Reference 31

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verified fuzzy
raw_fallback, observed 2026-08-06T23:20:13.800703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:20:10.226623Z digest=sha256:f78c4b61078dfeca91a173d5fffffc23244c877f4f621a01e334fd9dda085bbe

Observation c8554331-8089-4797-8ee1-b3731b9d9c15 · outbound

This paper cites DreamBench++: A Human-Aligned Benchmark for Personalized Image Generation.

Phantom-Data : Towards a General Subject-Consistent Video Generation Dataset DreamBench++: A Human-Aligned Benchmark for Personalized Image Generation

Reference 32

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T23:20:10.324650Z digest=sha256:88fde467b79c3cebcb6f9c33d4b0b8aea4c188da5950e11802a67c4db5a28599

Observation 15c9c35d-d7e8-45c9-918e-6c3ee2b72c86 · outbound

This paper cites Movie Gen: A Cast of Media Foundation Models.

Phantom-Data : Towards a General Subject-Consistent Video Generation Dataset Movie Gen: A Cast of Media Foundation Models

Reference 33

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source=pdf_text observed=2026-08-06T23:20:10.412598Z digest=sha256:cdccc65d6bf6ad79543bcf1801f8032e0ffebf7b65bad987fd55fdca6b9a7f71

Observation 34b8a0e4-285d-4c45-8c7c-6881a8c5a151 · outbound

This paper cites Learning transferable visual models from natural language supervision.

Phantom-Data : Towards a General Subject-Consistent Video Generation Dataset Learning transferable visual models from natural language supervision

Reference 34

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T23:20:10.519908Z digest=sha256:aa3e1b02ff9e615f1b963c54b927b99880576881276c59e6815b5aa61e9ec937

Observation b461a489-b1b1-4cb4-b54f-bd9d57b55bff · outbound

This paper cites Magi-1: Autoregressive video generation at scale, 2025.

Phantom-Data : Towards a General Subject-Consistent Video Generation Dataset Magi-1: Autoregressive video generation at scale, 2025

Reference 35

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raw_fallback, observed 2026-08-06T23:20:13.626322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:20:10.671514Z digest=sha256:0ff238ed1be7c03fa8c4893fb5fcfc54d73f1b999f80fc17b68a9fbfda9c489e

Observation 2acd82f9-768b-417d-9c3a-133d924b6aef · outbound

This paper cites Laion-5b: An open large-scale dataset for training next generation image-text models.Advances in neural information processing systems, 35:25278–25294, 2022.

Phantom-Data : Towards a General Subject-Consistent Video Generation Dataset Laion-5b: An open large-scale dataset for training next generation image-text models.Advances in neural information processing systems, 35:25278–25294, 2022

Reference 36

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:20:10.817178Z digest=sha256:068ef46b4e085619ee5dfb860285b5c6ba5f27f048a5befdb75726c2e14973e9

Observation 4ec1201b-19ef-4f14-b7b5-35fd9534eabf · outbound

This paper cites Seaweed-7B: Cost-Effective Training of Video Generation Foundation Model.

Phantom-Data : Towards a General Subject-Consistent Video Generation Dataset Seaweed-7B: Cost-Effective Training of Video Generation Foundation Model

Reference 37

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source=pdf_text observed=2026-08-06T23:20:10.982218Z digest=sha256:43775e54f743a3f8898b282b2fcccde6fe28ce2ba91602e4d8d1cc1e4ba248e9

Observation 27480fe9-8169-42c9-91bd-d49daaab8682 · outbound

This paper cites 1st solution in google universal image embedding.https://www.kaggle.com/ datasets/louieshao/guieweights0732, april 2023.

Phantom-Data : Towards a General Subject-Consistent Video Generation Dataset 1st solution in google universal image embedding.https://www.kaggle.com/ datasets/louieshao/guieweights0732, april 2023

Reference 38

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raw_fallback, observed 2026-08-06T23:20:13.342298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:20:11.107832Z digest=sha256:591784c6c1ec7543c54a50de86c21230febaab161e2c3cb1b5ab578a26fe4385

Observation e02e20b3-e3c6-4622-a35b-ca2169098098 · outbound

This paper cites Wan: Open and Advanced Large-Scale Video Generative Models.

Phantom-Data : Towards a General Subject-Consistent Video Generation Dataset Wan: Open and Advanced Large-Scale Video Generative Models

Reference 40

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source=pdf_text observed=2026-08-06T23:20:11.402590Z digest=sha256:b5e62e98f6c82260112a5a1f37541712a7866901f637a546799ef3fb85f8f090

Observation 295f7e3f-39f7-4945-aefd-4fdb20e9e6b0 · outbound

This paper cites Koala-36M: A Large-scale Video Dataset Improving Consistency between Fine-grained Conditions and Video Content.

Phantom-Data : Towards a General Subject-Consistent Video Generation Dataset Koala-36M: A Large-scale Video Dataset Improving Consistency between Fine-grained Conditions and Video Content

Reference 41

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source=pdf_text observed=2026-08-06T23:20:11.524559Z digest=sha256:2b2cdf97c2b13dc0128eb62e51ed5b3a6b0f665e44f26ee0b8e3987336b05129

Observation 93a72d36-888b-4810-a952-d98bbb964178 · outbound

This paper cites MagicVideo-V2: Multi-Stage High-Aesthetic Video Generation.

Phantom-Data : Towards a General Subject-Consistent Video Generation Dataset MagicVideo-V2: Multi-Stage High-Aesthetic Video Generation

Reference 42

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source=pdf_text observed=2026-08-06T23:20:11.666371Z digest=sha256:df33fbc55439e3dbc89af9dcba3a20bf284ef029e9ac42f878b986bbd50a0d0b

Observation 24ed82c9-4a1f-4a8c-8bf0-0df209fdbbdd · outbound

This paper cites ObjectMate: A Recurrence Prior for Object Insertion and Subject-Driven Generation.

Phantom-Data : Towards a General Subject-Consistent Video Generation Dataset ObjectMate: A Recurrence Prior for Object Insertion and Subject-Driven Generation

Reference 43

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source=pdf_text observed=2026-08-06T23:20:11.805625Z digest=sha256:3d1f7c3e447403927421b426e95e6fa094ab06b1c3f70e78a754652854cd840f

Observation fee5c2ec-4bfc-471b-9a24-5c858f01a338 · outbound

This paper cites Automated Movie Generation via Multi-Agent CoT Planning.

Phantom-Data : Towards a General Subject-Consistent Video Generation Dataset Automated Movie Generation via Multi-Agent CoT Planning

Reference 44

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source=pdf_text observed=2026-08-06T23:20:11.903050Z digest=sha256:2521b663694187984cad2764119c3074b22420ac640e43d872b361f2d0b9a35e

Observation a5f0b523-a422-4d12-956f-003f6cb3b5d5 · outbound

This paper cites Demystifying clip data.

Phantom-Data : Towards a General Subject-Consistent Video Generation Dataset Demystifying clip data

Reference 45

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raw_fallback, observed 2026-08-06T23:20:13.201869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:20:12.011700Z digest=sha256:88fce69da8cf6f34e20af85952872042f03f4e6a388b5b49953a5f202c2545dd

Observation 7a66a847-caf4-4edb-8a1f-4a23c9279113 · outbound

This paper cites Magicanimate: Temporally consistent human image animation using diffusion model.

Phantom-Data : Towards a General Subject-Consistent Video Generation Dataset Magicanimate: Temporally consistent human image animation using diffusion model

Reference 46

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source=pdf_text observed=2026-08-06T23:20:12.136554Z digest=sha256:245db107d892a0988e378158a4e05428b408222c1ac3eba3bb498b65d9df8c84

Observation 13d8e36f-b585-41e5-b67b-88d083295212 · outbound

This paper cites Qwen2.5 Technical Report.

Phantom-Data : Towards a General Subject-Consistent Video Generation Dataset Qwen2.5 Technical Report

Reference 47

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source=pdf_text observed=2026-08-06T23:20:12.221510Z digest=sha256:9d42d6dc9051ac9c056813673d38a29ae29209e66312228313e88a453890d1ff

Observation a0d0ab4a-a491-4c73-8109-3edb5a25304c · outbound

This paper cites CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer.

Phantom-Data : Towards a General Subject-Consistent Video Generation Dataset CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 48

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source=pdf_text observed=2026-08-06T23:20:12.336672Z digest=sha256:2c945904de0c5bd94d9ef02ebec44049317c53a39146846e6a924f16114f469a

Observation e8f64890-f3de-4bc5-99b4-93aeaf419afe · outbound

This paper cites Make pixels dance: High-dynamic video generation.

Phantom-Data : Towards a General Subject-Consistent Video Generation Dataset Make pixels dance: High-dynamic video generation

Reference 49

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verified fuzzy
raw_fallback, observed 2026-08-06T23:20:13.067847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:20:12.457366Z digest=sha256:51cba4f4320c7aca9822430e8d9ff3f9a66372d01c62998039a73969264364a1

Observation 76c4d674-998f-407b-bbb5-a3ba01a77a12 · outbound

This paper cites Concat-ID: Towards Universal Identity-Preserving Video Synthesis.

Phantom-Data : Towards a General Subject-Consistent Video Generation Dataset Concat-ID: Towards Universal Identity-Preserving Video Synthesis

Reference 50

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source=pdf_text observed=2026-08-06T23:20:12.568377Z digest=sha256:febcb7a95f611d639a698096245f5fd497fcb2fbe507a837f5a385fb0ca7db0e

Pith citing papers

Observation d7942705-b27f-4f09-890e-891109501909 · inbound

Learning Zero-Shot Subject-Driven Video Generation Using 1% Compute cites this paper.

Learning Zero-Shot Subject-Driven Video Generation Using 1% Compute Phantom-Data : Towards a General Subject-Consistent Video Generation Dataset

Reference 12

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verified exact
arxiv_id, observed 2026-05-22T17:51:54.300099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-22T17:51:41.947939Z digest=sha256:938634162eb2129e776fb4e0a5f462433d8e22982969559ab0ce7626e36b0a20

Observation a1f20d76-310a-4586-a321-85045de90fa4 · inbound

Effectively obtaining acoustic, visual and textual data from videos cites this paper.

Effectively obtaining acoustic, visual and textual data from videos Phantom-Data : Towards a General Subject-Consistent Video Generation Dataset

Reference 20

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source=pdf_text observed=2026-08-05T05:01:36.599895Z digest=sha256:ee5129b78c943a5c2fde526b895bb456239f0d9ce912314b5befb7fb78e9410d

Observation f8a3e20d-7692-4182-9507-4d1993b7f947 · inbound

Rethinking Position Embedding as a Context Controller for Multi-Reference and Multi-Shot Video Generation cites this paper.

Rethinking Position Embedding as a Context Controller for Multi-Reference and Multi-Shot Video Generation Phantom-Data : Towards a General Subject-Consistent Video Generation Dataset

Reference 5

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source=pdf_text observed=2026-07-13T12:23:05.876881Z digest=sha256:8632a3b7f2e69e35872faca0bc5baf2f5e5f69c92d5c62ed6cc5fc0607dd2d97

Observation 8fe950cd-cffc-4b16-a4ea-2cea998ba90f · inbound

Omni-Customizer: End-to-End MultiModal Customization for Joint Audio-Video Generation cites this paper.

Omni-Customizer: End-to-End MultiModal Customization for Joint Audio-Video Generation Phantom-Data : Towards a General Subject-Consistent Video Generation Dataset

Reference 6

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verified exact
arxiv_id, observed 2026-05-20T14:13:21.413127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-20T14:08:30.802619Z digest=sha256:d539ed169ec9f21083c3940ed8f4b682a645800efe02bf6bc4f2470d6e43be63

Observation 6f242034-23f8-49cc-aae1-3121792460bf · inbound

Spatial-Temporal Decoupled Reference Conditioning for Identity-Preserving Text-to-Video Generation cites this paper.

Spatial-Temporal Decoupled Reference Conditioning for Identity-Preserving Text-to-Video Generation Phantom-Data : Towards a General Subject-Consistent Video Generation Dataset

Reference 9

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verified exact
arxiv_id, observed 2026-07-01T22:26:17.495216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T15:25:22.778550Z digest=sha256:7ed813712bfcef6bc137fcc37ff97a096ad0f7f1517e5155b13cf6fe20738778

Observation d0b5bbb2-e48a-4852-b2d2-ab7b4d43a9b4 · inbound

FlowMimic: Mask-free Visual Editing and Generation with Pixel-pair Warped Flow Field for Online Video Editing Data Generation and Modality Mimicry cites this paper.

FlowMimic: Mask-free Visual Editing and Generation with Pixel-pair Warped Flow Field for Online Video Editing Data Generation and Modality Mimicry Phantom-Data : Towards a General Subject-Consistent Video Generation Dataset

Reference 74

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source=pdf_text observed=2026-08-01T15:42:03.214892Z digest=sha256:ec8c03c837adde26692f754cb94064c9b98481f78ef1b752989b7a203ca7b051