Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification | Paper Citation Record

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This paper cites GPT-4 Technical Report.

Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification GPT-4 Technical Report

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This paper cites Llama 3.2: Revolutionizing edge ai and vision with open, customizable models.

Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification Llama 3.2: Revolutionizing edge ai and vision with open, customizable models

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This paper cites Principles of Model Checking.

Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification Principles of Model Checking

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This paper cites Align your latents: High-resolution video synthesis with la- tent diffusion models.

Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification Align your latents: High-resolution video synthesis with la- tent diffusion models

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This paper cites Synthesis of LTL Formulas from Natural Language Texts: State of the Art and Research Directions.

Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification Synthesis of LTL Formulas from Natural Language Texts: State of the Art and Research Directions

Reference 5

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This paper cites Storybench: A multifaceted benchmark for continuous story visualization, 2023.

Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification Storybench: A multifaceted benchmark for continuous story visualization, 2023

Reference 6

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This paper cites Microsoft COCO Captions: Data Collection and Evaluation Server.

Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification Microsoft COCO Captions: Data Collection and Evaluation Server

Reference 7

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This paper cites Nl2tl: Transforming natural languages to temporal log- ics using large language models, 2024.

Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification Nl2tl: Transforming natural languages to temporal log- ics using large language models, 2024

Reference 8

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This paper cites Measuring the Quality of Text-to-Video Model Outputs: Metrics and Dataset.

Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification Measuring the Quality of Text-to-Video Model Outputs: Metrics and Dataset

Reference 9

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This paper cites Towards neuro- symbolic video understanding.

Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification Towards neuro- symbolic video understanding

Reference 10

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This paper cites Sora Detector: A Unified Hallucination Detection for Large Text-to-Video Models.

Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification Sora Detector: A Unified Hallucination Detection for Large Text-to-Video Models

Reference 11

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This paper cites Clarke, Orna Grumberg, and Doron A.

Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification Clarke, Orna Grumberg, and Doron A

Reference 12

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This paper cites Allen Emerson.

Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification Allen Emerson

Reference 13

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This paper cites Structure and content-guided video synthesis with diffusion models.

Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification Structure and content-guided video synthesis with diffusion models

Reference 14

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This paper cites Pytorchvideo: A deep learning li- brary for video understanding.

Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification Pytorchvideo: A deep learning li- brary for video understanding

Reference 15

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This paper cites TC-Bench: Benchmarking Temporal Compositionality in Text-to-Video and Image-to-Video Generation.

Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification TC-Bench: Benchmarking Temporal Compositionality in Text-to-Video and Image-to-Video Generation

Reference 16

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This paper cites Nl2ltl – a python package for converting natural language (nl) instruc- tions to linear temporal logic (ltl) formulas.

Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification Nl2ltl – a python package for converting natural language (nl) instruc- tions to linear temporal logic (ltl) formulas

Reference 17

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This paper cites Videoscore: Building auto- matic metrics to simulate fine-grained human feedback for video generation, 2024.

Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification Videoscore: Building auto- matic metrics to simulate fine-grained human feedback for video generation, 2024

Reference 18

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Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification The Probabilistic Model Checker Storm

Reference 19

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Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification Denoising dif- fusion probabilistic models

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This paper cites Make it move: Controllable image-to-video generation with text descrip- tions, 2022.

Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification Make it move: Controllable image-to-video generation with text descrip- tions, 2022

Reference 21

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This paper cites T2i-compbench: A comprehensive bench- mark for open-world compositional text-to-image genera- tion.

Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification T2i-compbench: A comprehensive bench- mark for open-world compositional text-to-image genera- tion

Reference 22

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This paper cites Vbench: Comprehensive bench- mark suite for video generative models.

Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification Vbench: Comprehensive bench- mark suite for video generative models

Reference 23

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Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification Logic in Computer Science: Modelling and Reasoning about Systems

Reference 24

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Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification Peekaboo: Interactive video generation via masked- diffusion, 2024

Reference 25

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This paper cites T2vbench: Benchmarking temporal dynamics for text-to- video generation.

Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification T2vbench: Benchmarking temporal dynamics for text-to- video generation

Reference 26

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This paper cites T2vbench: Benchmarking temporal dynamics for text-to- video generation.

Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification T2vbench: Benchmarking temporal dynamics for text-to- video generation

Reference 27

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Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification Stormpy - python bind- ings for storm, 2021

Reference 28

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Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification Kemeny and J.L

Reference 29

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This paper cites Joshi, Hanna Moazam, Heather Miller, Matei Zaharia, and Christopher Potts.

Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification Joshi, Hanna Moazam, Heather Miller, Matei Zaharia, and Christopher Potts

Reference 30

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This paper cites Subjective-aligned dataset and metric for text-to-video qual- ity assessment, 2024.

Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification Subjective-aligned dataset and metric for text-to-video qual- ity assessment, 2024

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Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification Evaluating and improving com- positional text-to-visual generation

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Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification Reward Guided Latent Consistency Distillation

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Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback

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This paper cites T2v- turbo-v2: Enhancing video generation model post-training through data, reward, and conditional guidance design.arXiv preprint arXiv:2410.05677, 2024.

Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification T2v- turbo-v2: Enhancing video generation model post-training through data, reward, and conditional guidance design.arXiv preprint arXiv:2410.05677, 2024

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Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification Ground- ing complex natural language commands for temporal tasks in unseen environments

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Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification Fetv: A bench- mark for fine-grained evaluation of open-domain text-to- video generation, 2023

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Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification Evalcrafter: Benchmarking and eval- uating large video generation models

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Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification Evalcrafter: Benchmarking and eval- uating large video generation models, 2024

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Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification Fetv: A bench- mark for fine-grained evaluation of open-domain text-to- video generation

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Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models

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Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification The Temporal Logic of Re- active and Concurrent Systems: Specification

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Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification Unresolved cited work

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Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification Internvl 2.0: A suite of multimodal large lan- guage models for vision and language tasks

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Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification Optimizing instructions and demonstrations for multi-stage language model programs, 2024

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This paper cites Data-efficient learning of natural language to linear temporal logic transla- tors for robot task specification, 2023.

Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification Data-efficient learning of natural language to linear temporal logic transla- tors for robot task specification, 2023

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Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification Graph neural network (gnn) in image and video understanding using deep learning for computer vision applications

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This paper cites The lost melody: Empirical observations on text-to-video generation from a storytelling perspective, 2024.

Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification The lost melody: Empirical observations on text-to-video generation from a storytelling perspective, 2024

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This paper cites T2V-CompBench: A Comprehensive Benchmark for Compositional Text-to-video Generation.

Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification T2V-CompBench: A Comprehensive Benchmark for Compositional Text-to-video Generation

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Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification Towards A Better Metric for Text-to-Video Generation

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This paper cites Msr-vtt: A large video description dataset for bridging video and language.

Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification Msr-vtt: A large video description dataset for bridging video and language

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:26:22.855253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 52422dc3-e595-4642-8c24-e2b87d1fa2dc · outbound

This paper cites Specification-Driven Video Search via Foundation Models and Formal Verification.

Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification Specification-Driven Video Search via Foundation Models and Formal Verification

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-12T14:26:22.087637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03bbbbc8-0f23-4abe-bab2-6225fd5a8d1d · outbound

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

Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-12T14:26:22.092279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba2bab75-923e-476d-8fdc-18f7c68451d3 · outbound

This paper cites Celebv-text: A large-scale facial text-video dataset, 2023.

Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification Celebv-text: A large-scale facial text-video dataset, 2023

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:26:22.839826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 831c313d-ab1d-4c0a-9d16-62e4c81bfd8c · outbound

This paper cites Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding.

Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-12T14:26:22.101268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f8edac9-55ac-4fe8-9dcc-178f6a7b44b8 · outbound

This paper cites I2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion Models.

Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification I2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion Models

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-12T14:26:22.106169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af2b9744-cf36-4cc6-b554-ca5339e951d5 · outbound

This paper cites Benchmarking aigc video quality assessment: A dataset and unified model, 2024.

Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification Benchmarking aigc video quality assessment: A dataset and unified model, 2024

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:26:22.824728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1d2d5f29-f18b-4918-b37a-d44bb086ff2c · outbound

This paper cites Always Event A.

Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification Always Event A

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:26:22.808978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b0c350ae-f69e-4cd0-bba5-cd6077df3c80 · outbound

This paper cites X i∈Ds max 0≤j≤k fT2P(Ds, i, j) # (17) DT2TL|train = arg max Ds⊂D′ T2TL,|Ds|=N.

Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification X i∈Ds max 0≤j≤k fT2P(Ds, i, j) # (17) DT2TL|train = arg max Ds⊂D′ T2TL,|Ds|=N

Reference 62

Resolution: malformed identifier; raw_fallback, observed 2026-08-12T14:26:22.794588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9d8d85c8-4d5a-4d41-9416-aec33114694c · outbound

This paper cites Your output fields are:.

Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification Your output fields are:

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:26:22.779338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d30fb7e1-c241-455b-8ab0-144ac9315f71 · outbound

This paper cites Overall Consistency.

Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification Overall Consistency

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:26:22.762687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9bac22df-1b23-4cbc-8de5-97630b3ac504 · outbound

This paper cites person”, “car.

Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification person”, “car

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:26:22.747310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation cff271a8-2c5d-47e4-bb1e-e38ce80730be · outbound

This paper cites an unresolved cited work.

Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification Unresolved cited work

Reference 66

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:26:22.732317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 55ac61ef-b3de-4860-800e-9e2d60051a74 · outbound

This paper cites Your output fields are:.

Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification Your output fields are:

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:26:22.717354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 30c0455f-3ccb-4160-a863-13c9e603508a · outbound

This paper cites Overall Consistency.

Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification Overall Consistency

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:26:22.702885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 55cf7e32-1fc1-40b3-89c4-c3bacf75397e · outbound

This paper cites an unresolved cited work.

Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification Unresolved cited work

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-12T14:26:22.153051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation afb95f78-5486-46ca-bc04-4838435e09df · outbound

This paper cites Prompt 3.

Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification Prompt 3

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:26:22.677290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 236cc62b-c292-4cf5-a5e1-d608b252fd98 · outbound

This paper cites an unresolved cited work.

Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification Unresolved cited work

Reference 71

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:26:22.660968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 44439d73-5234-4358-8148-e8af95f45bac · outbound

This paper cites Calibration Plots.

Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification Calibration Plots

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:26:22.644076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a4e05ca4-afe6-455e-9ff8-ace2dbb5eeb4 · outbound

This paper cites Nature”, “Human & Animal Activities.

Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification Nature”, “Human & Animal Activities

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:26:22.627904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7a4feb80-19e9-4884-935e-a725342bdad7 · outbound

This paper cites an unresolved cited work.

Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification Unresolved cited work

Reference 74

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:26:22.611633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5983ba1e-af9a-4a90-9b67-a6fe4660e60a · outbound

This paper cites Always,".

Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification Always,"

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:26:22.596570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0ab11e5f-c694-4d72-a4da-495505349824 · outbound

This paper cites Always": Describes an event that continuously occurs in the background or context. - .

Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification Always"**: Describes an event that continuously occurs in the background or context. - **

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:26:22.580643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f8636d89-cde1-4b8c-8523-89a29b2bff3d · outbound

This paper cites an unresolved cited work.

Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification Unresolved cited work

Reference 2019

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:26:23.367082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c9afa0cf-12c1-4f28-9dcb-4334ecd84a03 · outbound

This paper cites Visual Instruction Tuning.

Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification Visual Instruction Tuning

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-12T14:26:22.010844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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