Paper Citation Record · LEDGER

Zellige: Moldable Sequence Placement for Mixed Image-Video DiT Training

As of 24 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2608.01150.

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

pith.paper-citation-record.v1
2608.01150 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:15:32.349029Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

42 of 42 outbound references displayed

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verified fuzzy27
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a5fc8679-088a-485f-8543-ab1afa874f32 · outbound

This paper cites Denoising diffusion probabilistic models,.

Zellige: Moldable Sequence Placement for Mixed Image-Video DiT Training Denoising diffusion probabilistic models,

Reference 1

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Source-reported events for the cited work

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Observation f12dde58-452d-463c-a765-940249e2a33d · outbound

This paper cites High- resolution image synthesis with latent diffusion models,.

Zellige: Moldable Sequence Placement for Mixed Image-Video DiT Training High- resolution image synthesis with latent diffusion models,

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f03725ed-5eac-4578-b7ad-24fa15033882 · outbound

This paper cites Video diffusion models,.

Zellige: Moldable Sequence Placement for Mixed Image-Video DiT Training Video diffusion models,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:15:32.831799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ec9d65f5-0ec1-4184-8190-1260e64cd12c · outbound

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

Zellige: Moldable Sequence Placement for Mixed Image-Video DiT Training Wan: Open and Advanced Large-Scale Video Generative Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T15:15:32.201788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cad41a26-92db-48ba-b7b3-a5706f3c1440 · outbound

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

Zellige: Moldable Sequence Placement for Mixed Image-Video DiT Training HunyuanVideo: A Systematic Framework For Large Video Generative Models

Reference 5

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Source-reported events for the cited work

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Observation 489e89e8-d10e-45fc-94fa-058719397254 · outbound

This paper cites Scalable diffusion models with transformers,.

Zellige: Moldable Sequence Placement for Mixed Image-Video DiT Training Scalable diffusion models with transformers,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:15:32.821037Z

Source-reported events for the cited work

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Observation 92a11a3a-192a-485e-9ca9-6e9799b778f4 · outbound

This paper cites FlashAttention: Fast and memory-efficient exact attention with IO-awareness,.

Zellige: Moldable Sequence Placement for Mixed Image-Video DiT Training FlashAttention: Fast and memory-efficient exact attention with IO-awareness,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:15:32.809929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c5e6ebba-e61a-4955-8440-e0486bb87467 · outbound

This paper cites Efficient large-scale language model training on gpu clusters using megatron-lm,.

Zellige: Moldable Sequence Placement for Mixed Image-Video DiT Training Efficient large-scale language model training on gpu clusters using megatron-lm,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:15:32.797283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8fe3a543-74a7-4560-951b-4140111e0926 · outbound

This paper cites LoongTrain: Efficient Training of Long-Sequence LLMs with Head-Context Parallelism.

Zellige: Moldable Sequence Placement for Mixed Image-Video DiT Training LoongTrain: Efficient Training of Long-Sequence LLMs with Head-Context Parallelism

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65124cf3-9c92-47c0-bfc7-2f529f99737e · outbound

This paper cites Hydraulis: Balancing large transformer model training via co-designing parallel strategies and data assignment,.

Zellige: Moldable Sequence Placement for Mixed Image-Video DiT Training Hydraulis: Balancing large transformer model training via co-designing parallel strategies and data assignment,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:15:32.786376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 08d349de-f6ca-40ab-a2d0-c803838ac21a · outbound

This paper cites AdaptiveLoad: Towards Efficient Video Diffusion Transformer Training.

Zellige: Moldable Sequence Placement for Mixed Image-Video DiT Training AdaptiveLoad: Towards Efficient Video Diffusion Transformer Training

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-15T15:15:32.498171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 612a43ee-98e6-454b-82cb-6fd9f5d237dd · outbound

This paper cites USP: A Unified Sequence Parallelism Approach for Long Context Generative AI.

Zellige: Moldable Sequence Placement for Mixed Image-Video DiT Training USP: A Unified Sequence Parallelism Approach for Long Context Generative AI

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T15:15:32.235407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 872be4a6-90d2-421e-81da-e70b65a48074 · outbound

This paper cites KnapFormer: An Online Load Balancer for Efficient Diffusion Transformers Training.

Zellige: Moldable Sequence Placement for Mixed Image-Video DiT Training KnapFormer: An Online Load Balancer for Efficient Diffusion Transformers Training

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T15:15:32.239400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c46a1cd-8894-41e4-b2e9-bbafd0244e82 · outbound

This paper cites Efficient approximation algorithms for schedul- ing moldable tasks,.

Zellige: Moldable Sequence Placement for Mixed Image-Video DiT Training Efficient approximation algorithms for schedul- ing moldable tasks,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:15:32.775335Z

Source-reported events for the cited work

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Observation 4de1581d-bdcf-471d-b398-9b266e237084 · outbound

This paper cites The CP-SAT-LP solver,.

Zellige: Moldable Sequence Placement for Mixed Image-Video DiT Training The CP-SAT-LP solver,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:15:32.764685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6544083a-6474-4221-a945-1dae82860697 · outbound

This paper cites KernelFlume: Elastic Core-Attention Scaling for Agentic Long-Context Decoding.

Zellige: Moldable Sequence Placement for Mixed Image-Video DiT Training KernelFlume: Elastic Core-Attention Scaling for Agentic Long-Context Decoding

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-15T15:15:32.461915Z

Source-reported events for the cited work

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Observation 837b6457-2650-479e-875f-162400866aee · outbound

This paper cites The Llama 3 Herd of Models.

Zellige: Moldable Sequence Placement for Mixed Image-Video DiT Training The Llama 3 Herd of Models

Reference 17

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Source-reported events for the cited work

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Observation 076097e9-47ae-49fa-8be1-cae3bdebfb48 · outbound

This paper cites DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models.

Zellige: Moldable Sequence Placement for Mixed Image-Video DiT Training DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T15:15:32.258413Z

Source-reported events for the cited work

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Observation 289ff20d-8ec5-450b-8aa8-ec0993e34715 · outbound

This paper cites Ring Attention with Blockwise Transformers for Near-Infinite Context.

Zellige: Moldable Sequence Placement for Mixed Image-Video DiT Training Ring Attention with Blockwise Transformers for Near-Infinite Context

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T15:15:32.262288Z

Source-reported events for the cited work

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Observation c529f7b5-1689-42c0-b8b6-9dee473393a4 · outbound

This paper cites FlexSP: Accelerating large language model training via flexible sequence parallelism,.

Zellige: Moldable Sequence Placement for Mixed Image-Video DiT Training FlexSP: Accelerating large language model training via flexible sequence parallelism,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:15:32.753748Z

Source-reported events for the cited work

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Observation 3e7ab0ca-b352-48fc-922e-084adf3b081d · outbound

This paper cites Performance modeling and evaluation of distributed deep learning frameworks on GPUs,.

Zellige: Moldable Sequence Placement for Mixed Image-Video DiT Training Performance modeling and evaluation of distributed deep learning frameworks on GPUs,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:15:32.743008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f5ef6510-2594-4eae-9805-35706bcb9cbb · outbound

This paper cites FSMoE: A flexible and scalable training system for sparse mixture- of-experts models,.

Zellige: Moldable Sequence Placement for Mixed Image-Video DiT Training FSMoE: A flexible and scalable training system for sparse mixture- of-experts models,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:15:32.731783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cb849d24-4175-414b-be75-a4f42f9c66e4 · outbound

This paper cites Compass: Dissecting communication and computation operators for efficient LLM training,.

Zellige: Moldable Sequence Placement for Mixed Image-Video DiT Training Compass: Dissecting communication and computation operators for efficient LLM training,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:15:32.721116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c28beb0e-e71d-4852-adfe-ad6c6ee3ca6c · outbound

This paper cites MG-WFBP: Merging gradients wisely for ef- ficient communication in distributed deep learning,.

Zellige: Moldable Sequence Placement for Mixed Image-Video DiT Training MG-WFBP: Merging gradients wisely for ef- ficient communication in distributed deep learning,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:15:32.709548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fe393279-63d8-44a3-b0c3-f03ce66a1966 · outbound

This paper cites DeAR: Acceler- ating distributed deep learning with fine-grained all-reduce pipelining,.

Zellige: Moldable Sequence Placement for Mixed Image-Video DiT Training DeAR: Acceler- ating distributed deep learning with fine-grained all-reduce pipelining,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:15:32.697906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation eece71cd-dbb6-4e7d-9393-93ee73ab8f90 · outbound

This paper cites Xema: Efficient Diffusion Serving through Fine-Grained Memory Management and Auto-Configuration.

Zellige: Moldable Sequence Placement for Mixed Image-Video DiT Training Xema: Efficient Diffusion Serving through Fine-Grained Memory Management and Auto-Configuration

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-08-15T15:15:32.415651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a8d2bfe3-a1b7-4fac-9e9d-6ca2d2e2d32d · outbound

This paper cites Reducing activation recomputation in large transformer models,.

Zellige: Moldable Sequence Placement for Mixed Image-Video DiT Training Reducing activation recomputation in large transformer models,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:15:32.686364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 21d29c0b-f8fa-4341-866e-5ff0cdd257ce · outbound

This paper cites On grouping for maximum homogeneity,.

Zellige: Moldable Sequence Placement for Mixed Image-Video DiT Training On grouping for maximum homogeneity,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:15:32.675737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bfd16d18-fac2-42ab-a7ba-983162e18c97 · outbound

This paper cites On a bicriterion for- mulation of the problems of integrated system identification and system optimization,.

Zellige: Moldable Sequence Placement for Mixed Image-Video DiT Training On a bicriterion for- mulation of the problems of integrated system identification and system optimization,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:15:32.664524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 993e3ffd-e88b-4f86-bbe2-ffe3c9d5936b · outbound

This paper cites Exploiting orbits in symmetric ILP,.

Zellige: Moldable Sequence Placement for Mixed Image-Video DiT Training Exploiting orbits in symmetric ILP,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:15:32.653991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7bb9c8ec-6407-42f4-b4ab-a1b86a3f7106 · outbound

This paper cites Patch n’ pack: NaViT, a vision transformer for any aspect ratio and resolution,.

Zellige: Moldable Sequence Placement for Mixed Image-Video DiT Training Patch n’ pack: NaViT, a vision transformer for any aspect ratio and resolution,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:15:32.642109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e5512ce5-a66a-4e8e-9f24-5f2bb18855cc · outbound

This paper cites Openvid-1m: A large-scale high-quality dataset for text-to-video generation,.

Zellige: Moldable Sequence Placement for Mixed Image-Video DiT Training Openvid-1m: A large-scale high-quality dataset for text-to-video generation,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:15:32.630730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c3c05d19-9d1d-4e35-80ce-a4c60cbbb1ec · outbound

This paper cites Koala-36m: A large- scale video dataset improving consistency between fine-grained condi- tions and video content,.

Zellige: Moldable Sequence Placement for Mixed Image-Video DiT Training Koala-36m: A large- scale video dataset improving consistency between fine-grained condi- tions and video content,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:15:32.619253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 40696fb4-d184-4527-a9e1-d925f6956c89 · outbound

This paper cites DiffSynth-Studio,.

Zellige: Moldable Sequence Placement for Mixed Image-Video DiT Training DiffSynth-Studio,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:15:32.607912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 118e6037-9b2e-436c-8a55-d3b87196a66f · outbound

This paper cites xDiT: an Inference Engine for Diffusion Transformers (DiTs) with Massive Parallelism.

Zellige: Moldable Sequence Placement for Mixed Image-Video DiT Training xDiT: an Inference Engine for Diffusion Transformers (DiTs) with Massive Parallelism

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-15T15:15:32.321918Z

Source-reported events for the cited work

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Observation a50f2cf1-9829-4e9b-a603-1f2a2e3051c7 · outbound

This paper cites DSP: Dynamic sequence parallelism for multi-dimensional transform- ers,.

Zellige: Moldable Sequence Placement for Mixed Image-Video DiT Training DSP: Dynamic sequence parallelism for multi-dimensional transform- ers,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:15:32.596347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 820af163-f58f-4c84-ae5e-2628c9242588 · outbound

This paper cites PipeDiT: Accelerating diffusion trans- formers in video generation with task pipelining and model decoupling,.

Zellige: Moldable Sequence Placement for Mixed Image-Video DiT Training PipeDiT: Accelerating diffusion trans- formers in video generation with task pipelining and model decoupling,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:15:32.584664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3d481540-186e-49f8-b96d-d8e190c7e3d1 · outbound

This paper cites Pulse: Training Acceleration for Large Diffusion Models with Automatic Pipeline Parallelism.

Zellige: Moldable Sequence Placement for Mixed Image-Video DiT Training Pulse: Training Acceleration for Large Diffusion Models with Automatic Pipeline Parallelism

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-08-15T15:15:32.387036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bef61d2d-17c0-444b-915f-b0c29c598ff9 · outbound

This paper cites Enabling parallelism hot switching for efficient training of large language models,.

Zellige: Moldable Sequence Placement for Mixed Image-Video DiT Training Enabling parallelism hot switching for efficient training of large language models,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:15:32.573530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 27eb7e1e-7c22-4707-bbcc-9d7a4a282d6c · outbound

This paper cites ByteScale: Communication-efficient scaling of LLM training with a 2048k context length on 16384 GPUs,.

Zellige: Moldable Sequence Placement for Mixed Image-Video DiT Training ByteScale: Communication-efficient scaling of LLM training with a 2048k context length on 16384 GPUs,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:15:32.562721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d368ca5f-55b9-4e87-9fb8-c028b4f667bd · outbound

This paper cites DCP: Addressing input dynamism in long-context training via dynamic context parallelism,.

Zellige: Moldable Sequence Placement for Mixed Image-Video DiT Training DCP: Addressing input dynamism in long-context training via dynamic context parallelism,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:15:32.551726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 560182d7-ad4c-4748-ba6d-985d11f89c10 · outbound

This paper cites High-quality hypergraph partitioning,.

Zellige: Moldable Sequence Placement for Mixed Image-Video DiT Training High-quality hypergraph partitioning,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:15:32.539724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

No inbound Pith citation observations are available.