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Paper Citation Record · LEDGER

When Physical Preferences Meet Semantic Constraints: Physical and Semantic Direct Preference Optimization for Text-to-Video Generation

As of 8 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2607.16947.

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

pith.paper-citation-record.v1
2607.16947 v1

Coverage vector

measured 52 of 52 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-01T19:33:06.822584Z

measured 52 of 52 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

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measured 0 of 1 external citation measurements

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52 of 52 outbound references displayed

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Outbound references

Observation a6a3fe1b-436b-4008-8b80-11e41939d3f9 · outbound

This paper cites Videophy: Evaluating physical commonsense for video generation.ICLR, 2025.

When Physical Preferences Meet Semantic Constraints: Physical and Semantic Direct Preference Optimization for Text-to-Video Generation Videophy: Evaluating physical commonsense for video generation.ICLR, 2025

Reference 1

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source=pdf_text observed=2026-08-01T19:33:03.470997Z digest=sha256:12bb7b173553577936e7103a2177a8bca5f88361ce880807e521991a406af389

Observation 087d6028-ce69-4bf7-bf1d-e1f662b0f4e2 · outbound

This paper cites VideoPhy-2: A Challenging Action-Centric Physical Commonsense Evaluation in Video Generation.

When Physical Preferences Meet Semantic Constraints: Physical and Semantic Direct Preference Optimization for Text-to-Video Generation VideoPhy-2: A Challenging Action-Centric Physical Commonsense Evaluation in Video Generation

Reference 2

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source=pdf_text observed=2026-08-01T19:33:03.502183Z digest=sha256:64b5ba2e0c448591edef7a533f363f40801f5de6873d49223e6c56eb74a359ab

Observation 71184ea0-57c8-477a-a13c-bcbfe7ab3962 · outbound

This paper cites A Note on the Inception Score.

When Physical Preferences Meet Semantic Constraints: Physical and Semantic Direct Preference Optimization for Text-to-Video Generation A Note on the Inception Score

Reference 3

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Observation edd02ddc-c2b2-4663-87b4-25e00586eeb6 · outbound

This paper cites Curricu- lum learning.

When Physical Preferences Meet Semantic Constraints: Physical and Semantic Direct Preference Optimization for Text-to-Video Generation Curricu- lum learning

Reference 4

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source=pdf_text observed=2026-08-01T19:33:03.667148Z digest=sha256:e0bad3c4df9747069e3834144f5c2cb0b69f8a379ac5d00a2f47d696d3cc4cc9

Observation 8a238d4f-ba5d-4100-83cf-6539782b6a8f · outbound

This paper cites Hierarchical fine-grained preference optimization for physically plausible video generation.NeurIPS, 2025.

When Physical Preferences Meet Semantic Constraints: Physical and Semantic Direct Preference Optimization for Text-to-Video Generation Hierarchical fine-grained preference optimization for physically plausible video generation.NeurIPS, 2025

Reference 5

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source=pdf_text observed=2026-08-01T19:33:03.719052Z digest=sha256:9a4df514699844cc35278ecc39a6ea31667fe0e3529303e6b09e00cc2c7addcf

Observation 7fda2ce6-4840-46ff-80ad-b5fa2a3d8a07 · outbound

This paper cites Deep reinforcement learning from human preferences.NeurIPS, 2017.

When Physical Preferences Meet Semantic Constraints: Physical and Semantic Direct Preference Optimization for Text-to-Video Generation Deep reinforcement learning from human preferences.NeurIPS, 2017

Reference 6

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source=pdf_text observed=2026-08-01T19:33:03.781879Z digest=sha256:649d87a78e4f4569415adc418d8f83a3f3e710add083ac6f2d4bed136a3d8113

Observation 887b8781-bf4b-4b97-82d6-9b45a1f262db · outbound

This paper cites Understanding world or predicting future? a comprehensive survey of world models.ACM Computing Surveys, 2025.

When Physical Preferences Meet Semantic Constraints: Physical and Semantic Direct Preference Optimization for Text-to-Video Generation Understanding world or predicting future? a comprehensive survey of world models.ACM Computing Surveys, 2025

Reference 7

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source=pdf_text observed=2026-08-01T19:33:03.837295Z digest=sha256:d218193d0f660de00376064c8a46b37ef98384afb7c4afb9c539d56428f6d8e5

Observation 9871ad53-b8de-4fc1-8411-92e610c07b23 · outbound

This paper cites LTX-Video: Realtime Video Latent Diffusion.

When Physical Preferences Meet Semantic Constraints: Physical and Semantic Direct Preference Optimization for Text-to-Video Generation LTX-Video: Realtime Video Latent Diffusion

Reference 8

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source=pdf_text observed=2026-08-01T19:33:03.905908Z digest=sha256:2867064e9cac752c9e4ee2fec930d761a7d4a0f6fc797108e4b2713a10faa93c

Observation 95015b73-23a5-49aa-9da1-bc1296c846df · outbound

This paper cites Co-teaching: Robust training of deep neural networks with extremely noisy labels.

When Physical Preferences Meet Semantic Constraints: Physical and Semantic Direct Preference Optimization for Text-to-Video Generation Co-teaching: Robust training of deep neural networks with extremely noisy labels

Reference 9

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source=pdf_text observed=2026-08-01T19:33:03.952423Z digest=sha256:8ee268925fa124d37587b64f8cea813cecd13d31ebdc5eeae26c0636200baf86

Observation d567dd91-b786-48dc-b649-aa0fb1935cd4 · outbound

This paper cites Enhancing Physical Plausibility in Video Generation by Reasoning the Implausibility.

When Physical Preferences Meet Semantic Constraints: Physical and Semantic Direct Preference Optimization for Text-to-Video Generation Enhancing Physical Plausibility in Video Generation by Reasoning the Implausibility

Reference 10

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Observation 8158d4b9-be0e-4c0e-aef9-63ccc13b59e9 · outbound

This paper cites Clipscore: A reference-free evaluation metric for image captioning.

When Physical Preferences Meet Semantic Constraints: Physical and Semantic Direct Preference Optimization for Text-to-Video Generation Clipscore: A reference-free evaluation metric for image captioning

Reference 11

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source=pdf_text observed=2026-08-01T19:33:04.076136Z digest=sha256:7abaa68f57cbd1da8a513840a67565dbd16a024135ea44b3d07929b96445a2fd

Observation 6e05dc66-9fa9-4401-a48c-0b677fecd963 · outbound

This paper cites Lora: Low-rank adaptation of large language models.ICLR, 2022.

When Physical Preferences Meet Semantic Constraints: Physical and Semantic Direct Preference Optimization for Text-to-Video Generation Lora: Low-rank adaptation of large language models.ICLR, 2022

Reference 12

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source=pdf_text observed=2026-08-01T19:33:04.150711Z digest=sha256:62fa3164362c69a1d57645c0a241a879236a99079a0dc5286f00554758b20570

Observation 0f900c9b-332d-43c3-8b0d-3508cb32beae · outbound

This paper cites Vistadpo: Video hierarchical spatial-temporal direct preference optimization for large video models.ICML, 2025.

When Physical Preferences Meet Semantic Constraints: Physical and Semantic Direct Preference Optimization for Text-to-Video Generation Vistadpo: Video hierarchical spatial-temporal direct preference optimization for large video models.ICML, 2025

Reference 13

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source=pdf_text observed=2026-08-01T19:33:04.203949Z digest=sha256:c472459d3d81f4b176e82888a5cc31c588d19b3c020c2297f3636ed1ee68ddc3

Observation a5320cdd-73f7-4f7d-aebd-51616e968083 · outbound

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

When Physical Preferences Meet Semantic Constraints: Physical and Semantic Direct Preference Optimization for Text-to-Video Generation Vbench: Comprehensive benchmark suite for video generative models

Reference 14

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source=pdf_text observed=2026-08-01T19:33:04.254901Z digest=sha256:d2fda3bdada53ec0ca07d5021ac9d50882b39c49d0e539f143e8999f9cb2cbf1

Observation 2b247ab9-0498-4b4d-a3a3-7a0971cdf8df · outbound

This paper cites Physmas- ter: Mastering physical representation for video generation via reinforcement learning.arXiv preprint arXiv:2510.13809, 2025.

When Physical Preferences Meet Semantic Constraints: Physical and Semantic Direct Preference Optimization for Text-to-Video Generation Physmas- ter: Mastering physical representation for video generation via reinforcement learning.arXiv preprint arXiv:2510.13809, 2025

Reference 15

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Observation a1242d1d-aad2-49d6-bc33-af5269cbdd60 · outbound

This paper cites HuViDPO:Enhancing Video Generation through Direct Preference Optimization for Human-Centric Alignment.

When Physical Preferences Meet Semantic Constraints: Physical and Semantic Direct Preference Optimization for Text-to-Video Generation HuViDPO:Enhancing Video Generation through Direct Preference Optimization for Human-Centric Alignment

Reference 16

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source=pdf_text observed=2026-08-01T19:33:04.356173Z digest=sha256:bd86dfbae01324b08340e9a85b5ca0cf52141d7bd4a9178f25367dd85280f567

Observation 3a0372bd-fc77-4664-bfff-66054f3c706c · outbound

This paper cites How far is video generation from world model: A physical law perspective.ICML, 2025.

When Physical Preferences Meet Semantic Constraints: Physical and Semantic Direct Preference Optimization for Text-to-Video Generation How far is video generation from world model: A physical law perspective.ICML, 2025

Reference 17

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source=pdf_text observed=2026-08-01T19:33:04.405951Z digest=sha256:b90a328d164a2fca58daf1cab92050b0df10d0c4cce74603c549186e5b1edf5f

Observation 6773beee-a219-4286-b493-11ed4e38bd8d · outbound

This paper cites Musiq: Multi-scale image quality transformer.

When Physical Preferences Meet Semantic Constraints: Physical and Semantic Direct Preference Optimization for Text-to-Video Generation Musiq: Multi-scale image quality transformer

Reference 18

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Observation ebabb428-24b8-4dd2-9c60-190dd4e7069a · outbound

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

When Physical Preferences Meet Semantic Constraints: Physical and Semantic Direct Preference Optimization for Text-to-Video Generation HunyuanVideo: A Systematic Framework For Large Video Generative Models

Reference 19

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Observation bf4e3443-4391-4c56-88da-44e702ee31dd · outbound

This paper cites What about gravity in video generation? post-training newton’s laws with verifiable rewards.arXiv preprint arXiv:2512.00425, 2025.

When Physical Preferences Meet Semantic Constraints: Physical and Semantic Direct Preference Optimization for Text-to-Video Generation What about gravity in video generation? post-training newton’s laws with verifiable rewards.arXiv preprint arXiv:2512.00425, 2025

Reference 20

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Observation a8d3f609-32ef-4574-b824-891e9147078f · outbound

This paper cites Videodpo: Omni-preference alignment for video diffusion generation.

When Physical Preferences Meet Semantic Constraints: Physical and Semantic Direct Preference Optimization for Text-to-Video Generation Videodpo: Omni-preference alignment for video diffusion generation

Reference 21

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Observation 6c4b76e3-e405-4e19-a9b4-4d48688ca2a5 · outbound

This paper cites Physgen: Rigid-body physics-grounded image-to-video generation.

When Physical Preferences Meet Semantic Constraints: Physical and Semantic Direct Preference Optimization for Text-to-Video Generation Physgen: Rigid-body physics-grounded image-to-video generation

Reference 22

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Observation a62b74b1-2aee-4071-882d-6fb82191a20b · outbound

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

When Physical Preferences Meet Semantic Constraints: Physical and Semantic Direct Preference Optimization for Text-to-Video Generation Evalcrafter: Benchmarking and evaluating large video generation models

Reference 23

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source=pdf_text observed=2026-08-01T19:33:04.890848Z digest=sha256:c716f83629a9badbfcb0578f66ddc1adf07e5bfb32cc46d35592cae0375b1ed3

Observation ea3bf93e-939d-4aea-8145-326054c90500 · outbound

This paper cites Decoupled weight decay regularization.ICLR, 2019.

When Physical Preferences Meet Semantic Constraints: Physical and Semantic Direct Preference Optimization for Text-to-Video Generation Decoupled weight decay regularization.ICLR, 2019

Reference 24

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Observation cbc9f32b-4f2b-4a59-8690-85a7c285c599 · outbound

This paper cites Contextanyone: Context-aware diffusion for character-consistent text-to-video generation.arXiv preprint arXiv:2512.07328, 2025.

When Physical Preferences Meet Semantic Constraints: Physical and Semantic Direct Preference Optimization for Text-to-Video Generation Contextanyone: Context-aware diffusion for character-consistent text-to-video generation.arXiv preprint arXiv:2512.07328, 2025

Reference 25

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Observation 3fc6f76b-4a0b-4b80-b235-5728e2041b1f · outbound

This paper cites Towards world simulator: Crafting physical commonsense-based benchmark for video generation.ICML, 2025.

When Physical Preferences Meet Semantic Constraints: Physical and Semantic Direct Preference Optimization for Text-to-Video Generation Towards world simulator: Crafting physical commonsense-based benchmark for video generation.ICML, 2025

Reference 26

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source=pdf_text observed=2026-08-01T19:33:05.094341Z digest=sha256:9fbf32746922b4d358da803776bcd7bc6eee24c67f2111db5bf26e46986ea9a6

Observation d0be5d56-1ad8-4e9f-920a-4dd982c307a1 · outbound

This paper cites Grounding creativity in physics: A brief survey of physical priors in aigc.IJCAI, 2025.

When Physical Preferences Meet Semantic Constraints: Physical and Semantic Direct Preference Optimization for Text-to-Video Generation Grounding creativity in physics: A brief survey of physical priors in aigc.IJCAI, 2025

Reference 27

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Observation 061a6a70-fa80-4978-a645-3b23ca5a9683 · outbound

This paper cites Phymagic: Physical motion-aware gener- ative inference with confidence-guided llm.ECCV, 2026.

When Physical Preferences Meet Semantic Constraints: Physical and Semantic Direct Preference Optimization for Text-to-Video Generation Phymagic: Physical motion-aware gener- ative inference with confidence-guided llm.ECCV, 2026

Reference 28

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Observation 6f5ed4ad-7f61-41f2-aa0d-4671c3480759 · outbound

This paper cites Video generation models as world simulators.

When Physical Preferences Meet Semantic Constraints: Physical and Semantic Direct Preference Optimization for Text-to-Video Generation Video generation models as world simulators

Reference 29

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Observation b9a444ed-ca7e-4b2e-ae46-f04c795ef3b3 · outbound

This paper cites RDPO: Real Data Preference Optimization for Physics Consistency Video Generation.

When Physical Preferences Meet Semantic Constraints: Physical and Semantic Direct Preference Optimization for Text-to-Video Generation RDPO: Real Data Preference Optimization for Physics Consistency Video Generation

Reference 30

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Observation 7e1f85aa-73b6-4f3c-8b9b-ba87f4bd5895 · outbound

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

When Physical Preferences Meet Semantic Constraints: Physical and Semantic Direct Preference Optimization for Text-to-Video Generation Learning transferable visual models from natural language supervision

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Observation f814d13d-cdfb-4804-8fc9-9e00e61ff88e · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model.NeurIPS, 2023.

When Physical Preferences Meet Semantic Constraints: Physical and Semantic Direct Preference Optimization for Text-to-Video Generation Direct preference optimization: Your language model is secretly a reward model.NeurIPS, 2023

Reference 32

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Observation fdcf78fb-8165-486d-a569-20becef05731 · outbound

This paper cites Learning to reweight examples for robust deep learning.

When Physical Preferences Meet Semantic Constraints: Physical and Semantic Direct Preference Optimization for Text-to-Video Generation Learning to reweight examples for robust deep learning

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Observation 04d83f26-fb5c-4d79-8d4f-f91aaca7a98c · outbound

This paper cites Physmotion: Physics-grounded dynamics from a single image.3DV, 2026.

When Physical Preferences Meet Semantic Constraints: Physical and Semantic Direct Preference Optimization for Text-to-Video Generation Physmotion: Physics-grounded dynamics from a single image.3DV, 2026

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source=pdf_text observed=2026-08-01T19:33:05.604747Z digest=sha256:2dab6a847c2c3327ff9abe2284ed46efe1ecf71a37332d998fb1f32ba6c1e0bc

Observation 34bcc05b-1983-41c0-9d9c-6510023a03ac · outbound

This paper cites Raft: Recurrent all-pairs field transforms for optical flow.

When Physical Preferences Meet Semantic Constraints: Physical and Semantic Direct Preference Optimization for Text-to-Video Generation Raft: Recurrent all-pairs field transforms for optical flow

Reference 35

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source=pdf_text observed=2026-08-01T19:33:05.684476Z digest=sha256:d40b59cad804c19f3c193d12db4db51f3816266d3f8d94f80e2e49898a9e6be4

Observation 5fdf0ac8-a47a-47e0-a89c-bf26150a0fe8 · outbound

This paper cites Fvd: A new metric for video generation.

When Physical Preferences Meet Semantic Constraints: Physical and Semantic Direct Preference Optimization for Text-to-Video Generation Fvd: A new metric for video generation

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source=pdf_text observed=2026-08-01T19:33:05.729484Z digest=sha256:90118c79ca2c80c344ecdd516bf872edd0b509a23c103ef9246f3fc323e09096

Observation a41ef478-eb4d-44c5-9952-46e5f79a4a49 · outbound

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

When Physical Preferences Meet Semantic Constraints: Physical and Semantic Direct Preference Optimization for Text-to-Video Generation Wan: Open and Advanced Large-Scale Video Generative Models

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source=pdf_text observed=2026-08-01T19:33:05.808898Z digest=sha256:2f8039e9787c2c5f9ed79a7ec731107e08f8e7776264726335f467a1766b0e36

Observation 49383ea5-b189-426b-9a5c-f27972665d5c · outbound

This paper cites Wisa: World simulator assistant for physics-aware text-to-video generation.NeurIPS, 2025.

When Physical Preferences Meet Semantic Constraints: Physical and Semantic Direct Preference Optimization for Text-to-Video Generation Wisa: World simulator assistant for physics-aware text-to-video generation.NeurIPS, 2025

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source=pdf_text observed=2026-08-01T19:33:05.873349Z digest=sha256:b77fb161e0ae573b94d43c6dbde11e9068788a31c9ffd76559e8fdb825808ad7

Observation 7391740c-f3f7-4143-94b0-1eb483431fba · outbound

This paper cites Physcorr: Dual-reward dpo for physics- constrained text-to-video generation with automated preference selection.arXiv preprint arXiv:2511.03997, 2025.

When Physical Preferences Meet Semantic Constraints: Physical and Semantic Direct Preference Optimization for Text-to-Video Generation Physcorr: Dual-reward dpo for physics- constrained text-to-video generation with automated preference selection.arXiv preprint arXiv:2511.03997, 2025

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source=pdf_text observed=2026-08-01T19:33:05.930580Z digest=sha256:ca27e5eb90d7555a5eee4d2140a3b99e21169913788c9fe7982c0e01186b7d06

Observation 7ea3549c-c12a-41ff-9994-48fc6a364bf1 · outbound

This paper cites A survey on curriculum learning.

When Physical Preferences Meet Semantic Constraints: Physical and Semantic Direct Preference Optimization for Text-to-Video Generation A survey on curriculum learning

Reference 40

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source=pdf_text observed=2026-08-01T19:33:05.979839Z digest=sha256:d6bbe6fc0a839589c3efbc5e04b65cd4e3cf6987469c1a7439ae80484b3bec36

Observation 764d9002-ea7b-4914-a0f7-7f88090c6ee6 · outbound

This paper cites Internvid: A large-scale video-text dataset for multimodal understanding and generation.ICLR, 2024.

When Physical Preferences Meet Semantic Constraints: Physical and Semantic Direct Preference Optimization for Text-to-Video Generation Internvid: A large-scale video-text dataset for multimodal understanding and generation.ICLR, 2024

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source=pdf_text observed=2026-08-01T19:33:06.055870Z digest=sha256:0b7265bfa8326c390a44ac6599ce47b54e2ae0b0d9095652d657e31a0cc497ec

Observation 91402689-1297-49cb-a95f-3cdb3840b63c · outbound

This paper cites Densedpo: Fine-grained temporal preference optimization for video diffusion models.NeurIPS, 2025.

When Physical Preferences Meet Semantic Constraints: Physical and Semantic Direct Preference Optimization for Text-to-Video Generation Densedpo: Fine-grained temporal preference optimization for video diffusion models.NeurIPS, 2025

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source=pdf_text observed=2026-08-01T19:33:06.139938Z digest=sha256:9c00df861b5766cff1d330ce4dd2919e79986b67b1c655f02348c5586aec7bbf

Observation 88d04606-c22b-4eb3-9497-4d47ef09d980 · outbound

This paper cites Physgaussian: Physics-integrated 3d gaussians for generative dynamics.

When Physical Preferences Meet Semantic Constraints: Physical and Semantic Direct Preference Optimization for Text-to-Video Generation Physgaussian: Physics-integrated 3d gaussians for generative dynamics

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source=pdf_text observed=2026-08-01T19:33:06.192730Z digest=sha256:dcfb22f08b55abdcda0e635078016a424791c069bdc8c63cd50c38853614d305

Observation 6d5cf34c-82be-4361-a2cc-3dc6465d72a3 · outbound

This paper cites VideoCLIP: Contrastive pre-training for zero-shot video-text understanding.EMNLP, 2021.

When Physical Preferences Meet Semantic Constraints: Physical and Semantic Direct Preference Optimization for Text-to-Video Generation VideoCLIP: Contrastive pre-training for zero-shot video-text understanding.EMNLP, 2021

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source=pdf_text observed=2026-08-01T19:33:06.267776Z digest=sha256:380ce3823afc10dce3cdab049af8b09153f1bda00af96d58fe85cf79558d34ad

Observation 6510dc96-b8ac-44ee-8886-146cf0835a7d · outbound

This paper cites Phyt2v: Llm-guided iterative self-refinement for physics-grounded text-to-video generation.

When Physical Preferences Meet Semantic Constraints: Physical and Semantic Direct Preference Optimization for Text-to-Video Generation Phyt2v: Llm-guided iterative self-refinement for physics-grounded text-to-video generation

Reference 45

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source=pdf_text observed=2026-08-01T19:33:06.320683Z digest=sha256:d7b32249314b921416749bf3b34b60fc93e415301da5fa01f848cbf6fe8ef614

Observation cc196208-346e-4b50-9750-ffa52975afdf · outbound

This paper cites Qwen3 Technical Report.

When Physical Preferences Meet Semantic Constraints: Physical and Semantic Direct Preference Optimization for Text-to-Video Generation Qwen3 Technical Report

Reference 46

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source=pdf_text observed=2026-08-01T19:33:06.400190Z digest=sha256:841c2d44671dc54a76b9a932277eae4aa598609311196d79e49455fb5ea94533

Observation f778a3f9-1b68-44d6-bd41-01521821c64b · outbound

This paper cites Depth anything: Unleashing the power of large-scale unlabeled data.

When Physical Preferences Meet Semantic Constraints: Physical and Semantic Direct Preference Optimization for Text-to-Video Generation Depth anything: Unleashing the power of large-scale unlabeled data

Reference 47

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source=pdf_text observed=2026-08-01T19:33:06.476026Z digest=sha256:6c4580146eae9c2d226b58ef5872587aae26f531555b9e594d1086d299778752

Observation 5a910ce3-9d10-47ea-bfb0-1e119d1c9a85 · outbound

This paper cites Cogvideox: Text-to-video diffusion models with an expert transformer.ICLR, 2025.

When Physical Preferences Meet Semantic Constraints: Physical and Semantic Direct Preference Optimization for Text-to-Video Generation Cogvideox: Text-to-video diffusion models with an expert transformer.ICLR, 2025

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source=pdf_text observed=2026-08-01T19:33:06.530030Z digest=sha256:27bea97c7263f5649b0ef71c5e56a3678554eea8ad3a1b2d246154081b4860cf

Observation 97c3abd9-e377-4d8b-9f45-b991ee433ea2 · outbound

This paper cites Inference-time physics alignment of video gener- ative models with latent world models.arXiv preprint arXiv:2601.10553, 2026.

When Physical Preferences Meet Semantic Constraints: Physical and Semantic Direct Preference Optimization for Text-to-Video Generation Inference-time physics alignment of video gener- ative models with latent world models.arXiv preprint arXiv:2601.10553, 2026

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source=pdf_text observed=2026-08-01T19:33:06.601813Z digest=sha256:5d5ce91df2aa05818d78c2af5cf439dd2cbd878bee7777c12a6ceca34ea87e6c

Observation 9aaa0483-d2a5-49e9-bdee-d9e04380b29d · outbound

This paper cites Think before you diffuse: Llms-guided physics-aware video generation.arXiv preprint arXiv:2505.21653, 2025.

When Physical Preferences Meet Semantic Constraints: Physical and Semantic Direct Preference Optimization for Text-to-Video Generation Think before you diffuse: Llms-guided physics-aware video generation.arXiv preprint arXiv:2505.21653, 2025

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source=pdf_text observed=2026-08-01T19:33:06.688570Z digest=sha256:2e4e0a42ea2c0b5418445983473a1b537b5912e7c29347903e1ad55093b61b26

Observation 97eadecb-6603-4cb3-aeef-ee588ca478a1 · outbound

This paper cites Physrvg: Physics- aware unified reinforcement learning for video generative models.arXiv preprint arXiv:2601.11087, 2026.

When Physical Preferences Meet Semantic Constraints: Physical and Semantic Direct Preference Optimization for Text-to-Video Generation Physrvg: Physics- aware unified reinforcement learning for video generative models.arXiv preprint arXiv:2601.11087, 2026

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source=pdf_text observed=2026-08-01T19:33:06.757158Z digest=sha256:dce0253e9f35b737b4989fa75c6686e774081e7edd986c4eb45dcc559c505373

Observation ed83d256-f265-4afb-a24f-de02bf6bf18e · outbound

This paper cites Judging llm-as-a-judge with mt-bench and chatbot arena.NeurIPS, 2023.

When Physical Preferences Meet Semantic Constraints: Physical and Semantic Direct Preference Optimization for Text-to-Video Generation Judging llm-as-a-judge with mt-bench and chatbot arena.NeurIPS, 2023

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source=pdf_text observed=2026-08-01T19:33:06.822584Z digest=sha256:b0cab4e2a1e424c798b1d9f5d08e9a79a79301f62c6bbcf94f6cf394bb5ff0e7

Pith citing papers

No inbound Pith citation observations are available.