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Paper Citation Record · LEDGER

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

As of 13 August 2026, this Paper Citation Record lists 75 of 75 outbound references and 0 inbound Pith citation observations for arXiv:2411.16718.

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

pith.paper-citation-record.v1
2411.16718 v5

Coverage vector

measured 75 of 75 reference resolution

Typed states for the displayed outbound observations.

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measured 75 of 75 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.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

75 of 75 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2012c825-aedf-489b-ac78-0f628535be39 · outbound

This paper cites GPT-4 Technical Report.

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

Reference 1

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Observation e40035c4-23c2-4057-a9d7-4fc2f9cda136 · outbound

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

Reference 2

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Observation 964aef64-e29a-4662-8678-1704332f6d35 · outbound

This paper cites Principles of Model Checking.

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

Reference 3

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Observation e5ad5ca7-8e41-4990-b1c6-0164cd217775 · outbound

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

Reference 4

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Observation 23cf971d-dffd-4190-8e34-376f11f239f6 · outbound

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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Observation b72d4162-44bd-444d-b53f-5b945079acab · outbound

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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Observation d94f6ee4-7cfc-4c7c-9d70-5ddd02f89d3e · outbound

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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Source-reported events for the cited work

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Observation 10a2d920-50de-468b-9b90-14dc47075204 · outbound

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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Source-reported events for the cited work

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Observation 51f155c3-3c35-45f9-a22a-44d4299e0997 · outbound

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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Observation 77a0696e-5338-491b-a46c-c10a4250b74b · outbound

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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Observation 5558303e-58d1-48f1-b6a6-15dd5d2fafff · outbound

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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Observation 8a9954c8-2d77-47bc-aaf7-649240347a71 · outbound

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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Observation 08ea9a92-4ca8-4e71-8425-78735c7a8242 · outbound

This paper cites Allen Emerson.

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

Reference 13

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Observation fe51edc2-47a4-44ed-9664-c86e5b3728bb · outbound

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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Observation 73f59b18-2fb3-434c-a8a2-29ec999419c5 · outbound

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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Observation 281c7401-6ffb-457a-b9d7-48afa78b3874 · outbound

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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Observation 2507997f-e589-431d-b227-3b0d89e3ab26 · outbound

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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Observation 9b728dc2-e6bb-418e-bd17-64e86c720cbd · outbound

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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Observation 13d02dc8-5f20-4edd-af67-1f5cecbf94b9 · outbound

This paper cites The Probabilistic Model Checker Storm.

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

Reference 19

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Observation 93b46110-81d0-43bf-96c1-eb831e269877 · outbound

This paper cites Denoising dif- fusion probabilistic models.

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

Reference 20

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Observation 6a97a529-eda6-4b44-9424-aec28eb66a84 · outbound

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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Observation 548969c0-6e22-434e-8eb1-b76015f588da · outbound

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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Observation 9bf8b5e0-75b9-48a5-8ee2-c5c9b9223871 · outbound

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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Observation a6e60b85-d3fa-4b24-a418-fcc645c65939 · outbound

This paper cites Logic in Computer Science: Modelling and Reasoning about Systems.

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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Observation 722f48ea-01b1-47b6-be50-336cbe588147 · outbound

This paper cites Peekaboo: Interactive video generation via masked- diffusion, 2024.

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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Observation e8202b47-3b36-48cc-b4ae-7a7da1db6785 · outbound

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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Source-reported events for the cited work

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Observation 451f920c-dbe0-4b2f-bc29-0c5d8893ca45 · outbound

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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Source-reported events for the cited work

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Observation 8ff4d888-bd39-4f56-83dc-e42099dc3c3e · outbound

This paper cites Stormpy - python bind- ings for storm, 2021.

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

Reference 28

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Observation fa4a580f-1d92-41bc-b7ae-e6d5b0759e1f · outbound

This paper cites Kemeny and J.L.

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

Reference 29

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Observation 94e37493-9c39-46ef-a091-6a4cdf4c3ee7 · outbound

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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Source-reported events for the cited work

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Observation 779a7ad8-e2e0-4852-91c1-3fe7079539a5 · outbound

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

Reference 31

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Source-reported events for the cited work

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Observation 50f4f1b9-a681-42ca-83e3-cb91a5bd82af · outbound

This paper cites Evaluating and improving com- positional text-to-visual generation.

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

Reference 32

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Source-reported events for the cited work

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Observation 5c9ca3b3-9ba9-4567-bbee-5a2766463675 · outbound

This paper cites Reward Guided Latent Consistency Distillation.

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

Reference 33

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Source-reported events for the cited work

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Observation 5d4e8c6e-447c-451c-8788-3dcf96766249 · outbound

This paper cites T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback.

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

Reference 34

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no resolver link, observed 2026-08-12T14:26:21.996386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:26:21.996386Z digest=sha256:4c01e6dd5d14603345cd02b4fa18a9f376d457fa0ea32d900e44a8fe80646cc5

Observation f63e0955-cdaa-4896-893c-86203099c359 · outbound

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

Reference 35

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no resolver link, observed 2026-08-12T14:26:22.001017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:26:22.001017Z digest=sha256:e1cf53b370291710eab56c8d8f3d13daf186bdf547d8efb4fdc33a73fc4489a1

Observation 889db70a-03c4-491a-9925-7e6f5dc397b9 · outbound

This paper cites Ground- ing complex natural language commands for temporal tasks in unseen environments.

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

Reference 37

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verified fuzzy
raw_fallback, observed 2026-08-12T14:26:23.036965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:26:22.015707Z digest=sha256:8471370177b493132ec2aba5834d95daacf178746bdfe151dc0016a15ad4911d

Observation dee4706e-ac74-4d53-bc5e-bbc4cb3942e3 · outbound

This paper cites Fetv: A bench- mark for fine-grained evaluation of open-domain text-to- video generation, 2023.

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

Reference 38

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verified fuzzy
raw_fallback, observed 2026-08-12T14:26:23.022279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:26:22.020155Z digest=sha256:ae631e834ae20e6a722f87758d303490538ceda927bdde5a214fb44f94022132

Observation f905f5d2-ef16-447a-b3fa-5ed569070427 · outbound

This paper cites Evalcrafter: Benchmarking and eval- uating large video generation models.

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

Reference 39

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verified fuzzy
raw_fallback, observed 2026-08-12T14:26:23.006849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:26:22.024525Z digest=sha256:c5a94cc0911bfd923ca8f3cba254bb74f652bc36ca4b372f5978ee73050597ce

Observation 49286adc-1389-4adb-9945-ed3d1b1de31d · outbound

This paper cites Evalcrafter: Benchmarking and eval- uating large video generation models, 2024.

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

Reference 40

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verified fuzzy
raw_fallback, observed 2026-08-12T14:26:22.991516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:26:22.028931Z digest=sha256:96ac4815771ce646dbe1b8b63d86cf1dbc62482037d111e2aa4418202b9f33e9

Observation d2853179-ad90-4173-aedf-6e97d4d4b553 · outbound

This paper cites Fetv: A bench- mark for fine-grained evaluation of open-domain text-to- video generation.

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

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:26:22.975519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:26:22.033729Z digest=sha256:5dd6b8c6f607f3fc265057c65873c7d465855f63e1968f71442698fc64e5a30c

Observation 3a3b1ba7-8cfb-46a6-8704-21059dde86ed · outbound

This paper cites Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models.

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

Reference 42

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unresolved
no resolver link, observed 2026-08-12T14:26:22.038206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:26:22.038206Z digest=sha256:53da5fcb4f2dce0486f032f9c82a5802eaf6f43f6fa880089f330fa749dbcbea

Observation 4629eb44-2be6-459f-9cb0-249e236e39ea · outbound

This paper cites The Temporal Logic of Re- active and Concurrent Systems: Specification.

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

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:26:22.960489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:26:22.043006Z digest=sha256:e7b9012ac8dacce1f4e9330ac1b0b03fc2a395ac5357572b0edc585510914447

Observation 9bf9101c-a398-467a-96f7-2834d7ad3373 · outbound

This paper cites an unresolved cited work.

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

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-12T14:26:22.946138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:26:22.047321Z digest=sha256:cfbdaef6880d4b199c67d69bcb24340a91e1095d4e3d83381a5a0a7b10e8a1c1

Observation 534af4a2-759d-4a76-a15f-fb596604b1d8 · outbound

This paper cites Internvl 2.0: A suite of multimodal large lan- guage models for vision and language tasks.

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

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:26:22.931423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:26:22.051553Z digest=sha256:8099a62261a3b45384065374e4358bf15594c58be1071f0f36f1b69b01a5d29c

Observation 1d8d5084-9c3e-4567-a35b-ed7710a71376 · outbound

This paper cites Optimizing instructions and demonstrations for multi-stage language model programs, 2024.

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

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:26:22.916732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:26:22.055798Z digest=sha256:47d910e97e102f7c65dbd38be8c849fbe2a833d92faa2db932b56d033876cfa9

Observation 3c1873eb-368e-419c-9b9e-cdda00a0204e · outbound

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

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:26:22.901958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:26:22.060922Z digest=sha256:3696fd85b6bcd3478ebc2b79f227f8b83019a8c128f61908caf0a51f7c434453

Observation 21b8fc4a-dd8c-46f6-9be8-573271c2f008 · outbound

This paper cites Graph neural network (gnn) in image and video understanding using deep learning for computer vision applications.

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

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:26:22.886161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:26:22.065382Z digest=sha256:dbf8060e581ec4d1636de8906c90be7fcd0bc71d79dde2712d4f3d3f1a676e48

Observation cc835c26-698c-41bb-9cc1-e3ba70a273b6 · outbound

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

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:26:22.871122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:26:22.069819Z digest=sha256:1303aa05c9cb70d4bb81ad1e00e195186c090a70ec99deb9d03ff6cdba760ea2

Observation dbcd6b75-21b6-4a85-b860-d075f2f730d1 · outbound

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

Reference 50

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unresolved
no resolver link, observed 2026-08-12T14:26:22.074051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:26:22.074051Z digest=sha256:e1bf243c0ac516d996828a25d13ee354cffbf241a20734f97d24c047a5793632

Observation b12f0e9c-2bdb-4259-ae5f-bed25f8e91d2 · outbound

This paper cites Towards A Better Metric for Text-to-Video Generation.

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

Reference 51

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unresolved
no resolver link, observed 2026-08-12T14:26:22.078469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:26:22.078469Z digest=sha256:d4c7508cb4f742e1b3769d4c083189e3e720225a6cb588be8739edd41c290d43

Observation dda00750-4a51-45f1-b84a-eb0b1201c09f · outbound

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:26:22.083315Z digest=sha256:77a113665f5ff99ca25ff55055824788929db2b0265cac3d8ccd7c99c440edc2

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.

source=pdf_text observed=2026-08-12T14:26:22.087637Z digest=sha256:80bc9331b32cba0820b20e91f3e6e2d1203f6fc671d30c0343e1b1b5a013696e

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.

source=pdf_text observed=2026-08-12T14:26:22.092279Z digest=sha256:959416b49923f300b2111c5b8cd702b6e8c807ff40f370208d2fb55fc75b13a9

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:26:22.096996Z digest=sha256:728c4196842a46eb9708c1d6bb78a3af7c5e4ca9ca17e4d2ad9531f8f4b351e2

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:26:22.101268Z digest=sha256:6597af17967110732af3057fde343779dd3748e40c2e0fe90fcce2ee12b739db

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:26:22.106169Z digest=sha256:196506b7389a12b17530ffebb0fd47ef94e0994952f1e923ef7f98ec90e98537

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:26:22.110899Z digest=sha256:d7d1d882ea09554a23237ad3d0c5290e78b2ef85ee92b72fa3c7a04a5fb65ef0

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:26:22.115464Z digest=sha256:6ef31ce400375215e19adcd478920482fd76c4e68eadfd9d313015e440eef229

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:26:22.120112Z digest=sha256:894d4890c9bd7716065ff14a38d52f78f1b35423ff79cbd188254abbacac6fce

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

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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:26:22.124855Z digest=sha256:f280d572adbabd116cc49cf8fa7e46e25014877126a525573d00903b58bbdb81

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:26:22.129848Z digest=sha256:3e42d68ea4d04f5fb174b5fc5ad4cbbefeb521e75a046d7ec8379f4c949964af

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:26:22.134378Z digest=sha256:204113be2590d2b192e82ee9c0bf72ea1e9e5f3a18c1fda7c0aa3d16b0a28edb

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:26:22.138878Z digest=sha256:b705fd50c849879282188ebd905a73f51f38298f07bb9d945cb3f450c9ca7c28

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:26:22.143686Z digest=sha256:555c8af1e9141a7e2f42bf6f079cfc25bee06ee4d563cf99bf24d36e959092bc

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:26:22.148306Z digest=sha256:02ec1b67df06a628fa0e28da8ea159874e37d3f45c461042cca2c13dd65c4baf

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.

source=pdf_text observed=2026-08-12T14:26:22.153051Z digest=sha256:dcefb81411873729c7e1f072dc3a46c824a9a4a754ab1da3293e2d3b70f4b70f

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:26:22.157436Z digest=sha256:a84813b125bd6dbe6fbc47b430e7be3c86b686807ffd844f08c6bcbd5de87f71

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:26:22.162143Z digest=sha256:8321132d608261ce88c02335f7566b93e1dc5a5843ca0e662d00b1d9d44584fc

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:26:22.166484Z digest=sha256:953865058c2b56b10e8e3b8758484487d5547593fae7ad7b0d18f72ae74058c2

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:26:22.171031Z digest=sha256:b07f4bdc040dec3ebee6e50619f18995e9bc9348908950cda5557d64da02643e

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:26:22.176100Z digest=sha256:d19733a681f5ae3f5b7b7da2a644dc41e5c3aab1f0125f99869a0f104d3af814

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:26:22.180814Z digest=sha256:29d0f189a808a4c135f28d6bfca3e8624ccea3fd8fe2472e44a8e61322c93fec

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:26:22.185125Z digest=sha256:81ae0725c249637651530dfd990ec649962dc18578d6db961af1de9bbf9fd80b

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:26:21.865728Z digest=sha256:87b49e1f59dda95f01c881c2ca144afb74a75e61c7cce30f5f3143c71fb059e2

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.

source=pdf_text observed=2026-08-12T14:26:22.010844Z digest=sha256:0be758cc5b09277a47a9a35dc30f862e9cec19f7a363f4fb8ea94c6de8e20860

Pith citing papers

No inbound Pith citation observations are available.