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Paper Citation Record · LEDGER

A Systematic Post-Train Framework for Video Generation

As of 7 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 6 inbound Pith citation observations for arXiv:2604.25427.

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

pith.paper-citation-record.v1
2604.25427 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-07T16:58:33.014401Z

measured 56 of 56 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T08:21:43.194828Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T03:05:55.283109Z

Reference resolution

50 of 50 outbound references displayed

  • verified exact30
  • verified fuzzy19
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2d826b92-0f1c-4dee-9def-b09013512ee7 · outbound

This paper cites Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851.

A Systematic Post-Train Framework for Video Generation Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T01:33:22.467013Z

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.

source=pdf_text observed=2026-05-07T16:58:33.014401Z digest=sha256:297626e2e3ac0da2710c60f90a1d64f5f851a57fe6201766a4554bd24baee934

Observation 25d1649d-1c37-4c62-bbdb-37d026f65b62 · outbound

This paper cites Scaling rectified flow trans- 9 formers for high-resolution image synthesis.

A Systematic Post-Train Framework for Video Generation Scaling rectified flow trans- 9 formers for high-resolution image synthesis

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T01:33:22.470170Z

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.

source=pdf_text observed=2026-05-07T16:58:33.014401Z digest=sha256:3148aee380e3ed10643585b43eb2f1afa59042d83c99622ab52691de953f57c7

Observation d2080a53-3adb-4fa0-a65d-41479dc42d50 · outbound

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

A Systematic Post-Train Framework for Video Generation High- resolution image synthesis with latent diffusion models

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T01:33:22.495145Z

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.

source=pdf_text observed=2026-05-07T16:58:33.014401Z digest=sha256:7f15a026278b96afaa7fd20e94701156e3939a51f0d579132145c3d5efef226e

Observation 16edc2be-5500-44e1-87c2-181bf15a813e · outbound

This paper cites Flow Matching for Generative Modeling.

A Systematic Post-Train Framework for Video Generation Flow Matching for Generative Modeling

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-05-11T23:26:21.618412Z

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.

source=pdf_text observed=2026-05-07T16:58:33.014401Z digest=sha256:56dcd8ab6492407d5786225addb829e59b3442e0be0758ed84aee652a4c9df8d

Observation f2317269-d6e7-4f8b-8bba-ae4006dd853f · outbound

This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

A Systematic Post-Train Framework for Video Generation Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-05-11T23:26:21.716481Z

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.

source=pdf_text observed=2026-05-07T16:58:33.014401Z digest=sha256:d8f0cc3b10caad02118e2bb879343a72727e5a61f3bcce3351687360ae11dc2f

Observation afde2331-2014-4017-a127-8df4f8f83baf · outbound

This paper cites Seedream 2.0: A Native Chinese-English Bilingual Image Generation Foundation Model.

A Systematic Post-Train Framework for Video Generation Seedream 2.0: A Native Chinese-English Bilingual Image Generation Foundation Model

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-17T08:27:36.473449Z

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.

source=pdf_text observed=2026-05-07T16:58:33.014401Z digest=sha256:7eb309faf01ff048c28abe8a9256799da8ab125a7e43c9ba676aaa76ceeafe7a

Observation d17cae76-e52f-45db-8da0-68039e15dce5 · outbound

This paper cites Seedance 1.0: Exploring the Boundaries of Video Generation Models.

A Systematic Post-Train Framework for Video Generation Seedance 1.0: Exploring the Boundaries of Video Generation Models

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-05-11T23:26:21.527454Z

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.

source=pdf_text observed=2026-05-07T16:58:33.014401Z digest=sha256:1bcd2dbcf98199f1ac2b801f3f7ee0b93d176dfcab3b8c134eb6c665eeb04f29

Observation ebc07572-2960-44ae-b1da-9a8f8efe7645 · outbound

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

A Systematic Post-Train Framework for Video Generation HunyuanVideo: A Systematic Framework For Large Video Generative Models

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-05-11T23:26:21.522561Z

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.

source=pdf_text observed=2026-05-07T16:58:33.014401Z digest=sha256:1a8f9aa59a9dad20602e0715be12ac856ca658b70de2922be6bb2b8f77702b32

Observation b5c8659c-fda4-4361-aaad-6383d305dacc · outbound

This paper cites Kling-Omni Technical Report.

A Systematic Post-Train Framework for Video Generation Kling-Omni Technical Report

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-15T21:00:58.771713Z

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.

source=pdf_text observed=2026-05-07T16:58:33.014401Z digest=sha256:f131b5070bfa76469314832a812b39b0347f923836f864126e6bdc2b4694292a

Observation 1ba4edba-2d44-4f82-b818-43016f7b76d1 · outbound

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

A Systematic Post-Train Framework for Video Generation Wan: Open and Advanced Large-Scale Video Generative Models

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-05-11T23:26:21.762080Z

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.

source=pdf_text observed=2026-05-07T16:58:33.014401Z digest=sha256:a5ae5d48109ce6cfdeff534e28c2fefb71fea0cf33c45599d73e6fc792670e6c

Observation 7e08599c-9a14-4278-9733-bb30f4a09a06 · outbound

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

A Systematic Post-Train Framework for Video Generation Vbench: Comprehensive benchmark suite for video generative models

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T01:33:22.505406Z

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.

source=pdf_text observed=2026-05-07T16:58:33.014401Z digest=sha256:b6ed2196f8a20e7c32b0c7051ebdf8cde668b492bb799660bebeb09efe5698ef

Observation a9c76876-90e4-4278-8a63-821a99feffaf · outbound

This paper cites Evalcrafter: Benchmarking and evaluating large video generation models.

A Systematic Post-Train Framework for Video Generation Evalcrafter: Benchmarking and evaluating large video generation models

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T01:33:22.509942Z

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.

source=pdf_text observed=2026-05-07T16:58:33.014401Z digest=sha256:21781fed5102b0571540adc421ac88116166c2087c77983f25894a368740876b

Observation 2f781947-4427-416b-9933-774d85a2c125 · outbound

This paper cites DanceGRPO: Unleashing GRPO on Visual Generation.

A Systematic Post-Train Framework for Video Generation DanceGRPO: Unleashing GRPO on Visual Generation

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-05-11T23:26:21.455125Z

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.

source=pdf_text observed=2026-05-07T16:58:33.014401Z digest=sha256:b1615a3bccff39777b072919f34e2db8d3fd0118cfae9bf660f7274288d8770b

Observation 40b62679-67c0-4a91-a375-1239ab9ddc42 · outbound

This paper cites Seedream 3.0 Technical Report.

A Systematic Post-Train Framework for Video Generation Seedream 3.0 Technical Report

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-13T07:55:38.865721Z

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.

source=pdf_text observed=2026-05-07T16:58:33.014401Z digest=sha256:e9a68dc61f16dcd688c1f377c6001d77436e5dc734f893cfa6e9528895b0f570

Observation 78231942-3c1a-464c-8526-57897bff24f6 · outbound

This paper cites Promptist: Automated prompt optimization for text-to- image synthesis.

A Systematic Post-Train Framework for Video Generation Promptist: Automated prompt optimization for text-to- image synthesis

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T01:33:22.497633Z

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.

source=pdf_text observed=2026-05-07T16:58:33.014401Z digest=sha256:622e40f0cd3b75d9a7c8e9ecc5738ac3297ec579ab9e5c651c0e6a38533a19c0

Observation 443ccc62-0c9a-4b92-ab33-a33e8a77194f · outbound

This paper cites Neuroprompts: An adaptive framework to optimize prompts for text-to-image generation.

A Systematic Post-Train Framework for Video Generation Neuroprompts: An adaptive framework to optimize prompts for text-to-image generation

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T01:33:22.500021Z

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.

source=pdf_text observed=2026-05-07T16:58:33.014401Z digest=sha256:2efe89f85ecaa5d16ffcb2f726b37c525d976b5b6effe777497a174e83667730

Observation 4711f472-b4a9-4471-877b-5c57219ed890 · outbound

This paper cites Improving Text-to-Image Consistency via Automatic Prompt Optimization.

A Systematic Post-Train Framework for Video Generation Improving Text-to-Image Consistency via Automatic Prompt Optimization

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:26:21.385348Z

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.

source=pdf_text observed=2026-05-07T16:58:33.014401Z digest=sha256:f8d5552c1100030c2c97050cbc6f5cd0f16f8e8360d1fc18699b399130a6c4dd

Observation cb3317d0-c110-49a5-9976-de4a07b49920 · outbound

This paper cites RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning.

A Systematic Post-Train Framework for Video Generation RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:26:21.417103Z

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.

source=pdf_text observed=2026-05-07T16:58:33.014401Z digest=sha256:84df8e7fc0ad2357df6d9b0e442efc114891ab36e5ffa6ae379676fd4fad22a0

Observation 8fb1e136-9143-48ff-ad7e-3f89f5fc3e97 · outbound

This paper cites Promptrl: Prompt matters in rl for flow-based image generation.

A Systematic Post-Train Framework for Video Generation Promptrl: Prompt matters in rl for flow-based image generation

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:26:21.143258Z

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.

source=pdf_text observed=2026-05-07T16:58:33.014401Z digest=sha256:b968605b0a3f77dab3332bb410433d37391fec2ed990f1795d42f64326bfd75b

Observation 6ab2a961-003b-4ec1-94b7-39a668bdea4c · outbound

This paper cites Proximal Policy Optimization Algorithms.

A Systematic Post-Train Framework for Video Generation Proximal Policy Optimization Algorithms

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-05-11T23:26:21.204868Z

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.

source=pdf_text observed=2026-05-07T16:58:33.014401Z digest=sha256:0da44d2bb6e379b42ad86b783703c0d430872cf49e9b186b28200557723aaf38

Observation 30730f75-ac23-46a3-875b-9840d623df96 · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model.

A Systematic Post-Train Framework for Video Generation Direct preference optimization: Your language model is secretly a reward model

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T01:33:22.502785Z

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.

source=pdf_text observed=2026-05-07T16:58:33.014401Z digest=sha256:ebbc3bc76eaa28c43cb8badd71da6075e0d763fec6af6fb1ad4c85d37facd698

Observation 12719330-0b23-4ef2-9fe1-f172b83477e8 · outbound

This paper cites Flow-GRPO: Training Flow Matching Models via Online RL.

A Systematic Post-Train Framework for Video Generation Flow-GRPO: Training Flow Matching Models via Online RL

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-05-11T23:26:21.055591Z

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.

source=pdf_text observed=2026-05-07T16:58:33.014401Z digest=sha256:a8c4cd11b0d277a821ca2a3d9973fcd36b9b7e2eeb717bb9d3729b58a5a74f50

Observation 736447ae-cdb4-46ed-abd0-37fdbfa90f61 · outbound

This paper cites MixGRPO: Unlocking Flow-based GRPO Efficiency with Mixed ODE-SDE.

A Systematic Post-Train Framework for Video Generation MixGRPO: Unlocking Flow-based GRPO Efficiency with Mixed ODE-SDE

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-13T13:27:50.191417Z

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.

source=pdf_text observed=2026-05-07T16:58:33.014401Z digest=sha256:276440403ede16bb141517e04834624dc2a06f574af89804b967572457528288

Observation 9c50c0ce-49f9-417e-96e3-42571116a446 · outbound

This paper cites Coefficients-preserving sampling for reinforcement learning with flow matching.arXiv preprint arXiv:2509.05952.

A Systematic Post-Train Framework for Video Generation Coefficients-preserving sampling for reinforcement learning with flow matching.arXiv preprint arXiv:2509.05952

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:26:21.424137Z

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.

source=pdf_text observed=2026-05-07T16:58:33.014401Z digest=sha256:618855449adcf1702aca8176a7316c95d74a8221c2d52af2600194f06dabd011

Observation 7478f0b2-183a-497e-b9ef-7244f735a9ff · outbound

This paper cites TempFlow-GRPO: When Timing Matters for GRPO in Flow Models.

A Systematic Post-Train Framework for Video Generation TempFlow-GRPO: When Timing Matters for GRPO in Flow Models

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-21T21:52:31.656662Z

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.

source=pdf_text observed=2026-05-07T16:58:33.014401Z digest=sha256:5e1f02b3544f59b83a4b4de2a64f5786f86a6f24dea25b27a576cc39c59668f7

Observation 4c2cfaa9-e281-48fa-bac4-cee970174b05 · outbound

This paper cites G2rpo: Granular grpo for precise reward in flow models.

A Systematic Post-Train Framework for Video Generation G2rpo: Granular grpo for precise reward in flow models

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T01:33:22.507604Z

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.

source=pdf_text observed=2026-05-07T16:58:33.014401Z digest=sha256:f5e968b3b2d6985277c38bb5bf402dcec44ec49a8b5a44fe74af3e708fa45b3a

Observation 0593b9f3-4dfa-44a1-be66-82c2e6372a0a · outbound

This paper cites book above laptop.

A Systematic Post-Train Framework for Video Generation book above laptop

Reference 27

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T23:26:21.533894Z

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.

source=pdf_text observed=2026-05-07T16:58:33.014401Z digest=sha256:112dc3a1fc596689ffd9f2bf7959982315fc458b840f9006bb263475c7f7e630

Observation 84589ea3-b4b7-40e0-8844-ebe7bee23478 · outbound

This paper cites Branchgrpo: Stable and efficient grpo with structured branching in diffusion models.

A Systematic Post-Train Framework for Video Generation Branchgrpo: Stable and efficient grpo with structured branching in diffusion models

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:26:20.900099Z

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.

source=pdf_text observed=2026-05-07T16:58:33.014401Z digest=sha256:44317f4be8a8621eb9b8e0f7f039d7643697b781acb223c99b4d39610279c3c9

Observation 9b4f6aea-76e1-4d66-8d94-02fb5b0ee72f · outbound

This paper cites DiffusionNFT: Online Diffusion Reinforcement with Forward Process.

A Systematic Post-Train Framework for Video Generation DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-13T16:54:31.055857Z

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.

source=pdf_text observed=2026-05-07T16:58:33.014401Z digest=sha256:5a1d14cdc6d86e1eb3185deecf822a854776e0272940a5d59d754af22ef0ecad

Observation 1c465f67-fcb4-4630-83e5-484b1a80b928 · outbound

This paper cites Advantage weighted matching: Aligning rl with pretraining in diffusion models.

A Systematic Post-Train Framework for Video Generation Advantage weighted matching: Aligning rl with pretraining in diffusion models

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:26:20.736561Z

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.

source=pdf_text observed=2026-05-07T16:58:33.014401Z digest=sha256:abe24487852658a5f083901184e8860ee0c65f527f6277e2b82b9c157a65cadf

Observation 77c1f85c-e902-42a2-8f8c-401bb72db50b · outbound

This paper cites Astrolabe: Steering forward-process reinforcement learning for distilled autoregressive video models.

A Systematic Post-Train Framework for Video Generation Astrolabe: Steering forward-process reinforcement learning for distilled autoregressive video models

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:26:20.486856Z

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.

source=pdf_text observed=2026-05-07T16:58:33.014401Z digest=sha256:1b20f5d70e537a05dcb73a7d6a2c86eda775fc597e198b0d15b72a7d57c1dff2

Observation 1e7299ca-fbee-4772-a795-b7b9486ea597 · outbound

This paper cites Professor forcing: A new algorithm for training recurrent networks.Advances in neural information processing systems, 29.

A Systematic Post-Train Framework for Video Generation Professor forcing: A new algorithm for training recurrent networks.Advances in neural information processing systems, 29

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T01:33:22.518878Z

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.

source=pdf_text observed=2026-05-07T16:58:33.014401Z digest=sha256:960b5bf359c812f7c4966baced2b3d8ac3c2838dad51ecc20aa65c7f6b7b5c6e

Observation d25a8b79-e7ff-4fcb-af11-b28201a94970 · outbound

This paper cites Diffusion forcing: Next-token prediction meets full-sequence diffusion.Advances in Neural Information Processing Systems, 37:24081–24125.

A Systematic Post-Train Framework for Video Generation Diffusion forcing: Next-token prediction meets full-sequence diffusion.Advances in Neural Information Processing Systems, 37:24081–24125

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T01:33:22.485388Z

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.

source=pdf_text observed=2026-05-07T16:58:33.014401Z digest=sha256:b5dea9e753041b43c172556019e736d1b03a4037529ec1732828e2c10f1f5604

Observation 1b59a2e1-f4c5-4a1c-a25d-82260e2aefc6 · outbound

This paper cites From slow bidirectional to fast autoregressive video diffusion models.

A Systematic Post-Train Framework for Video Generation From slow bidirectional to fast autoregressive video diffusion models

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T01:33:22.475582Z

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.

source=pdf_text observed=2026-05-07T16:58:33.014401Z digest=sha256:82a6d92c7c29b5aabde6983ca22722dfd7c18dda56034b4902d07c5b465457ad

Observation a51d0f2d-5313-4a73-8848-46a8e0bf3aa3 · outbound

This paper cites One-step diffusion with distribution matching distillation.

A Systematic Post-Train Framework for Video Generation One-step diffusion with distribution matching distillation

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T01:33:22.478838Z

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.

source=pdf_text observed=2026-05-07T16:58:33.014401Z digest=sha256:8745a3ad6bd14e84377a3c43ad52f4140048d62d62c94fb852e9e5ada82a08dc

Observation 89be9538-ebd0-4085-9823-8a620f7ee2e8 · outbound

This paper cites Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion.

A Systematic Post-Train Framework for Video Generation Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-05-11T23:26:19.855952Z

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.

source=pdf_text observed=2026-05-07T16:58:33.014401Z digest=sha256:619c88cdba01124f45f4f9471c770236beaa59ebe62ce50eecc8c4a9a0864a33

Observation 117e9d13-7317-4ebb-a503-a49ba126a6e2 · outbound

This paper cites LongLive: Real-time Interactive Long Video Generation.

A Systematic Post-Train Framework for Video Generation LongLive: Real-time Interactive Long Video Generation

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-15T03:52:59.837830Z

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.

source=pdf_text observed=2026-05-07T16:58:33.014401Z digest=sha256:5ff9e659aeb26584b2145ad1fa7c4fb02fee9ce79d74b01fa1c7000786a4559c

Observation 5d9633ed-f760-4a70-8732-6cef6066e722 · outbound

This paper cites Omniforcing: Unleashing real-time joint audio-visual generation.

A Systematic Post-Train Framework for Video Generation Omniforcing: Unleashing real-time joint audio-visual generation

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:26:20.346398Z

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.

source=pdf_text observed=2026-05-07T16:58:33.014401Z digest=sha256:a2ab29214aa7d0bf17e649c547ba522503f9bea9b0b0e3956ef96dc37e571b66

Observation 874d90c0-11c5-484e-a556-e8195846eee4 · outbound

This paper cites Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation.

A Systematic Post-Train Framework for Video Generation Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-21T17:32:01.900965Z

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.

source=pdf_text observed=2026-05-07T16:58:33.014401Z digest=sha256:cff3bcacedcca54c092085afd74d2b354dc70d4837c4a1408fbaa8f07576d2be

Observation c1b62cc1-6d65-4e8d-9056-bf7dcef10555 · outbound

This paper cites Hpsv3: Towards wide-spectrum hu- man preference score.

A Systematic Post-Train Framework for Video Generation Hpsv3: Towards wide-spectrum hu- man preference score

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T01:33:22.482493Z

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.

source=pdf_text observed=2026-05-07T16:58:33.014401Z digest=sha256:19fd2b69394a4d3e8107813162c65ae45d5c95c038b547cd1de98315692bc74c

Observation b2760aad-d177-4ece-937c-47af0e5523e7 · outbound

This paper cites Imagereward: Learning and evaluating human preferences for text-to-image generation.

A Systematic Post-Train Framework for Video Generation Imagereward: Learning and evaluating human preferences for text-to-image generation

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T01:33:22.472912Z

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.

source=pdf_text observed=2026-05-07T16:58:33.014401Z digest=sha256:8037f8f0f91a340a55d1a2a82e7378ac72fa408dc545ec5ab8efe0c2514520c3

Observation 44cd1b39-3e2d-44c7-bb0d-05399189b737 · outbound

This paper cites Pick-a-pic: An open dataset of user preferences for text-to-image generation.Advances in neural information processing systems, 36:36652–36663.

A Systematic Post-Train Framework for Video Generation Pick-a-pic: An open dataset of user preferences for text-to-image generation.Advances in neural information processing systems, 36:36652–36663

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T01:33:22.492304Z

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.

source=pdf_text observed=2026-05-07T16:58:33.014401Z digest=sha256:79d9939ddd620a9243174ac2c75073a4faa940459a1a11ca0b039653fd03939c

Observation c990a72d-980c-45f9-9903-09b0356f6df1 · outbound

This paper cites Improving Video Generation with Human Feedback.

A Systematic Post-Train Framework for Video Generation Improving Video Generation with Human Feedback

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-13T15:30:03.116566Z

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.

source=pdf_text observed=2026-05-07T16:58:33.014401Z digest=sha256:0f71a82afdb30943d33ddfdb11ca7a8f7bd6db7055ed6fb9fdab2f34e6966c9e

Observation 543285b1-ad8c-467f-b4f4-292c89867595 · outbound

This paper cites Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis.

A Systematic Post-Train Framework for Video Generation Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis

Reference 44

Resolution
verified exact
local_arxiv, observed 2026-05-11T23:26:20.296357Z

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.

source=pdf_text observed=2026-05-07T16:58:33.014401Z digest=sha256:aee7f3ace81e55b3f86e1f6cc5939e0435ea5d5eb436a802b94e3f50a8b420d2

Observation d82339d2-4aee-41b8-bb2b-c072be8ee84f · outbound

This paper cites Human preference score: Better aligning text-to-image models with human preference.

A Systematic Post-Train Framework for Video Generation Human preference score: Better aligning text-to-image models with human preference

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T01:33:22.488556Z

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.

source=pdf_text observed=2026-05-07T16:58:33.014401Z digest=sha256:30ab6d16369d3e5a42f4ea5038af2ade10b4ccdd72744063353c11683a8528b8

Observation bc2904ad-65a6-40ac-8948-1f84010642c7 · outbound

This paper cites Videoscore: Building automatic metrics to simulate fine-grained human feedback for video generation.

A Systematic Post-Train Framework for Video Generation Videoscore: Building automatic metrics to simulate fine-grained human feedback for video generation

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T01:33:22.515725Z

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.

source=pdf_text observed=2026-05-07T16:58:33.014401Z digest=sha256:c4e9d4878269725230c8405becc26d7103c152574942c0fde7f24719b9164ece

Observation 6bcafb58-1a48-4c40-9a65-900f8ee809cd · outbound

This paper cites Visionreward: Fine-grained multi-dimensional human preference learning for image and video generation.

A Systematic Post-Train Framework for Video Generation Visionreward: Fine-grained multi-dimensional human preference learning for image and video generation

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T01:33:22.512631Z

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.

source=pdf_text observed=2026-05-07T16:58:33.014401Z digest=sha256:3250377df58fd492e04c57bf784783eeca0c054ee156c9973b951edad22be80d

Observation e222173e-6f96-4381-afb8-87f70ca41023 · outbound

This paper cites Unified Reward Model for Multimodal Understanding and Generation.

A Systematic Post-Train Framework for Video Generation Unified Reward Model for Multimodal Understanding and Generation

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-14T00:44:31.060111Z

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.

source=pdf_text observed=2026-05-07T16:58:33.014401Z digest=sha256:d47571b4a1c97b93c329fcbd9e43f72a0603ea4f23526503fa6bb91d97b58845

Observation e7328192-0136-46d3-8da4-955bba962ac0 · outbound

This paper cites RewardDance: Reward Scaling in Visual Generation.

A Systematic Post-Train Framework for Video Generation RewardDance: Reward Scaling in Visual Generation

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:26:20.184788Z

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.

source=pdf_text observed=2026-05-07T16:58:33.014401Z digest=sha256:35458f079619c8415f6d8d2b01f560b6171d9bca8571d89a23a2bf48dfd77004

Observation 141ec04f-2c7c-401d-b739-948027c14971 · outbound

This paper cites Qwen3-VL Technical Report.

A Systematic Post-Train Framework for Video Generation Qwen3-VL Technical Report

Reference 50

Resolution
verified exact
local_arxiv, observed 2026-05-11T23:26:20.176155Z

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.

source=pdf_text observed=2026-05-07T16:58:33.014401Z digest=sha256:f11a42c98a2c31200a0efee9d5639745eec78ff9695698288f1148857cd873d0

Pith citing papers

Observation 073d1283-3e1c-4cb7-a813-86b742ff8b35 · inbound

Do Joint Audio-Video Generation Models Understand Physics? cites this paper.

Do Joint Audio-Video Generation Models Understand Physics? A Systematic Post-Train Framework for Video Generation

Reference 42

Resolution
verified exact
local_arxiv, observed 2026-05-11T03:50:56.786431Z

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.

source=pdf_text observed=2026-05-11T02:12:04.230076Z digest=sha256:f7db3fbf7ce464374582d1c39847181a45b9a7c0a3fcb56b6ddfec3c999b01b2

Observation f7c47df5-db7c-48c4-af0f-dd15dd4d8eca · inbound

Do Joint Audio-Video Generation Models Understand Physics? cites this paper.

Do Joint Audio-Video Generation Models Understand Physics? A Systematic Post-Train Framework for Video Generation

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-06-30T23:45:08.213661Z

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.

source=pdf_text observed=2026-06-30T23:39:22.070629Z digest=sha256:0abf88d6649b38fa559aceb993d5060f4a9e863840c3e886cccfe0cc1fcfbfa6

Observation 7604cd95-15c1-495a-89c8-62fec200cced · inbound

Video Models Can Reason with Verifiable Rewards cites this paper.

Video Models Can Reason with Verifiable Rewards A Systematic Post-Train Framework for Video Generation

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-05-19T15:07:37.126508Z

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.

source=pdf_text observed=2026-05-19T15:03:14.894952Z digest=sha256:8c372938a6d53a5fa978ebdcbac5b81a90db8afd7242dcbadcfdcc49d8c1100b

Observation 7b48b3c1-cc18-44d4-8119-7bf3cdc9ff70 · inbound

MobileWan: Closing the Quality Gap for Mobile Video Diffusion cites this paper.

MobileWan: Closing the Quality Gap for Mobile Video Diffusion A Systematic Post-Train Framework for Video Generation

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-07-08T14:44:59.787950Z

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.

source=pdf_text observed=2026-07-08T14:37:46.957265Z digest=sha256:ef5548536460f456d80bba5b14c7fcd1ff746335fd78c6adee4db57a0752e94d

Observation 329de75c-2e64-409b-86ad-fe1e2eb22bbe · inbound

MobileWan: Closing the Quality Gap for Mobile Video Diffusion cites this paper.

MobileWan: Closing the Quality Gap for Mobile Video Diffusion A Systematic Post-Train Framework for Video Generation

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-02T08:21:43.194828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T08:21:43.194828Z digest=sha256:ddf2da8418b2c10f3c2dbb448670b67968fa60eb4259ee60556a25e79250fd4b

Observation 66c0f92d-0bff-45c1-819e-af8c24f78fb8 · inbound

Scaling Mixture-of-Experts Video Pretraining for Embodied Intelligence cites this paper.

Scaling Mixture-of-Experts Video Pretraining for Embodied Intelligence A Systematic Post-Train Framework for Video Generation

Reference 118

Resolution
verified exact
local_arxiv, observed 2026-07-09T03:05:55.284648Z

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.

source=pdf_text observed=2026-07-09T02:55:58.018234Z digest=sha256:7aeb518011ecc168ad6e783ec11ec49bf69ae1b923b731a83dee3678a819f103