ProDVI: Programmatic Dynamics Priors for Value Network Initialization | Paper Citation Record

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This paper cites The Tenth International Conference on Learning Representations,.

ProDVI: Programmatic Dynamics Priors for Value Network Initialization The Tenth International Conference on Learning Representations,

Reference 1

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Observation 7cc84327-a471-47d2-a37e-cc730602e2be · outbound

This paper cites 9th International Conference on Learning Representations,.

ProDVI: Programmatic Dynamics Priors for Value Network Initialization 9th International Conference on Learning Representations,

Reference 2

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This paper cites The Thirteenth International Conference on Learning Representations,.

ProDVI: Programmatic Dynamics Priors for Value Network Initialization The Thirteenth International Conference on Learning Representations,

Reference 3

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This paper cites Devon Hjelm and Aaron C.

ProDVI: Programmatic Dynamics Priors for Value Network Initialization Devon Hjelm and Aaron C

Reference 4

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Observation 2ba75043-f3c5-4ecc-b372-3bf90744ea6a · outbound

This paper cites Self-Predictive Dynamics for Generalization of Vision-based Reinforcement Learning.

ProDVI: Programmatic Dynamics Priors for Value Network Initialization Self-Predictive Dynamics for Generalization of Vision-based Reinforcement Learning

Reference 6

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Observation b3279185-5b0f-4965-8aa4-52fa938a6617 · outbound

This paper cites Bootstrap Your Own Latent -.

ProDVI: Programmatic Dynamics Priors for Value Network Initialization Bootstrap Your Own Latent -

Reference 7

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This paper cites Bellemare , editor =.

ProDVI: Programmatic Dynamics Priors for Value Network Initialization Bellemare , editor =

Reference 8

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Observation bbd1d980-1733-4298-bad3-4cbcbe2bc8e9 · outbound

This paper cites Nature , pages=.

ProDVI: Programmatic Dynamics Priors for Value Network Initialization Nature , pages=

Reference 9

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This paper cites The Twelfth International Conference on Learning Representations,.

ProDVI: Programmatic Dynamics Priors for Value Network Initialization The Twelfth International Conference on Learning Representations,

Reference 10

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ProDVI: Programmatic Dynamics Priors for Value Network Initialization 1998 , publisher=

Reference 11

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This paper cites DeepMind Control Suite.

ProDVI: Programmatic Dynamics Priors for Value Network Initialization DeepMind Control Suite

Reference 12

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This paper cites Learning Representations via a Robust Behavioral Metric for Deep Reinforcement Learning , booktitle =.

ProDVI: Programmatic Dynamics Priors for Value Network Initialization Learning Representations via a Robust Behavioral Metric for Deep Reinforcement Learning , booktitle =

Reference 13

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Observation a6d6418c-7aef-4e17-96ab-a9b4dbc9421c · outbound

This paper cites MICo: Improved representations via sampling-based state similarity for Markov decision processes , booktitle =.

ProDVI: Programmatic Dynamics Priors for Value Network Initialization MICo: Improved representations via sampling-based state similarity for Markov decision processes , booktitle =

Reference 14

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This paper cites The Twelfth International Conference on Learning Representations,.

ProDVI: Programmatic Dynamics Priors for Value Network Initialization The Twelfth International Conference on Learning Representations,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:25:41.394790Z

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This paper cites Why do We Need Large Batchsizes in Contrastive Learning?.

ProDVI: Programmatic Dynamics Priors for Value Network Initialization Why do We Need Large Batchsizes in Contrastive Learning?

Reference 16

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Observation 454eeb37-80d2-4fe9-ad8c-5fc2912fca06 · outbound

This paper cites Contrastive Learning as Goal-Conditioned Reinforcement Learning , booktitle =.

ProDVI: Programmatic Dynamics Priors for Value Network Initialization Contrastive Learning as Goal-Conditioned Reinforcement Learning , booktitle =

Reference 17

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This paper cites The Thirteenth International Conference on Learning Representations,.

ProDVI: Programmatic Dynamics Priors for Value Network Initialization The Thirteenth International Conference on Learning Representations,

Reference 18

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This paper cites Policy-Independent Behavioral Metric-Based Representation for Deep Reinforcement Learning , booktitle =.

ProDVI: Programmatic Dynamics Priors for Value Network Initialization Policy-Independent Behavioral Metric-Based Representation for Deep Reinforcement Learning , booktitle =

Reference 19

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This paper cites Revisiting Bisimulation Metric for Robust Representations in Reinforcement Learning , journal =.

ProDVI: Programmatic Dynamics Priors for Value Network Initialization Revisiting Bisimulation Metric for Robust Representations in Reinforcement Learning , journal =

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ProDVI: Programmatic Dynamics Priors for Value Network Initialization Unresolved cited work

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This paper cites Jha and Toshisada Mariyama and Daniel Nikovski , title =.

ProDVI: Programmatic Dynamics Priors for Value Network Initialization Jha and Toshisada Mariyama and Daniel Nikovski , title =

Reference 22

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ProDVI: Programmatic Dynamics Priors for Value Network Initialization Lillicrap and Jimmy Ba and Mohammad Norouzi , title =

Reference 23

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This paper cites Lillicrap and Mohammad Norouzi and Jimmy Ba , title =.

ProDVI: Programmatic Dynamics Priors for Value Network Initialization Lillicrap and Mohammad Norouzi and Jimmy Ba , title =

Reference 24

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This paper cites Addressing Function Approximation Error in Actor-Critic Methods , booktitle =.

ProDVI: Programmatic Dynamics Priors for Value Network Initialization Addressing Function Approximation Error in Actor-Critic Methods , booktitle =

Reference 25

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ProDVI: Programmatic Dynamics Priors for Value Network Initialization PyTorch: An Imperative Style, High-Performance Deep Learning Library , booktitle =

Reference 27

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ProDVI: Programmatic Dynamics Priors for Value Network Initialization Unresolved cited work

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This paper cites Bellemare and Yavar Naddaf and Joel Veness and Michael Bowling , title =.

ProDVI: Programmatic Dynamics Priors for Value Network Initialization Bellemare and Yavar Naddaf and Joel Veness and Michael Bowling , title =

Reference 29

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This paper cites iQRL -- Implicitly Quantized Representations for Sample-efficient Reinforcement Learning.

ProDVI: Programmatic Dynamics Priors for Value Network Initialization iQRL -- Implicitly Quantized Representations for Sample-efficient Reinforcement Learning

Reference 30

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ProDVI: Programmatic Dynamics Priors for Value Network Initialization Riedmiller , title =

Reference 32

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ProDVI: Programmatic Dynamics Priors for Value Network Initialization Lillicrap and David Silver , title =

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ProDVI: Programmatic Dynamics Priors for Value Network Initialization Dueling Network Architectures for Deep Reinforcement Learning , booktitle =

Reference 34

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ProDVI: Programmatic Dynamics Priors for Value Network Initialization Temporal Difference Learning for Model Predictive Control , booktitle =

Reference 35

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ProDVI: Programmatic Dynamics Priors for Value Network Initialization Playing Atari with Deep Reinforcement Learning

Reference 36

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ProDVI: Programmatic Dynamics Priors for Value Network Initialization An Equivalence between Loss Functions and Non-Uniform Sampling in Experience Replay , booktitle =

Reference 38

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ProDVI: Programmatic Dynamics Priors for Value Network Initialization 7th International Conference on Learning Representations,

Reference 39

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ProDVI: Programmatic Dynamics Priors for Value Network Initialization Rainbow: Combining Improvements in Deep Reinforcement Learning , booktitle =

Reference 40

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ProDVI: Programmatic Dynamics Priors for Value Network Initialization Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search , booktitle =

Reference 41

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ProDVI: Programmatic Dynamics Priors for Value Network Initialization WorldCoder, a Model-Based

Reference 42

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ProDVI: Programmatic Dynamics Priors for Value Network Initialization Cal-QL: Calibrated Offline

Reference 43

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This paper cites Martin and Mariano Phielipp and Chelsea Finn , editor =.

ProDVI: Programmatic Dynamics Priors for Value Network Initialization Martin and Mariano Phielipp and Chelsea Finn , editor =

Reference 44

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Observation 80d0ed6d-43af-473c-8604-31ea0e4c09d0 · outbound

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ProDVI: Programmatic Dynamics Priors for Value Network Initialization Thirty-Eighth

Reference 45

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Observation bb955f5c-9ce5-4c66-8dcc-10a34a211a74 · outbound

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Reference 46

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This paper cites Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021 , year =.

ProDVI: Programmatic Dynamics Priors for Value Network Initialization Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021 , year =

Reference 47

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ProDVI: Programmatic Dynamics Priors for Value Network Initialization Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks , booktitle =

Reference 49

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ProDVI: Programmatic Dynamics Priors for Value Network Initialization 7th International Conference on Learning Representations,

Reference 50

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This paper cites The Twelfth International Conference on Learning Representations,.

ProDVI: Programmatic Dynamics Priors for Value Network Initialization The Twelfth International Conference on Learning Representations,

Reference 51

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ProDVI: Programmatic Dynamics Priors for Value Network Initialization RoboGen: Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation , booktitle =

Reference 52

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ProDVI: Programmatic Dynamics Priors for Value Network Initialization 2024 , url =

Reference 53

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Observation b1fbbf06-1435-481d-9f05-31f634ecd527 · outbound

This paper cites Rusu and Joel Veness and Marc G.

ProDVI: Programmatic Dynamics Priors for Value Network Initialization Rusu and Joel Veness and Marc G

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ProDVI: Programmatic Dynamics Priors for Value Network Initialization Challenges of Real-World Reinforcement Learning

Reference 56

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ProDVI: Programmatic Dynamics Priors for Value Network Initialization EfficientZero

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:25:40.692785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b5506be6-fbf0-4e48-ac7c-91f492cd9982 · outbound

This paper cites 9th International Conference on Learning Representations,.

ProDVI: Programmatic Dynamics Priors for Value Network Initialization 9th International Conference on Learning Representations,

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T19:25:37.879031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26611386-b047-47be-98bb-5f8e6d2b2972 · outbound

This paper cites GPT-4 Technical Report.

ProDVI: Programmatic Dynamics Priors for Value Network Initialization GPT-4 Technical Report

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T19:25:37.894591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 898a39d4-924c-4c17-a795-f75cf9925b7f · outbound

This paper cites OpenAI GPT-5 System Card.

ProDVI: Programmatic Dynamics Priors for Value Network Initialization OpenAI GPT-5 System Card

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T19:25:37.901490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac220c56-8558-4072-a893-006e83dfd3bc · outbound

This paper cites Eureka: Human-Level Reward Design via Coding Large Language Models , booktitle =.

ProDVI: Programmatic Dynamics Priors for Value Network Initialization Eureka: Human-Level Reward Design via Coding Large Language Models , booktitle =

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T19:25:37.912077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2d30702-5654-451e-a9d5-872b374fdef9 · outbound

This paper cites Improving the Data-efficiency of Reinforcement Learning by Warm-starting with LLM.

ProDVI: Programmatic Dynamics Priors for Value Network Initialization Improving the Data-efficiency of Reinforcement Learning by Warm-starting with LLM

Reference 62

Resolution: verified exact; local_arxiv, observed 2026-08-07T19:25:38.695370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d2ec8eba-3889-42d9-816c-09b75a5422af · outbound

This paper cites Latent Reward: LLM-Empowered Credit Assignment in Episodic Reinforcement Learning , booktitle =.

ProDVI: Programmatic Dynamics Priors for Value Network Initialization Latent Reward: LLM-Empowered Credit Assignment in Episodic Reinforcement Learning , booktitle =

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-07T19:25:37.958639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb9651fb-50b2-49ff-ba9d-fd6a8e35222b · outbound

This paper cites LLM-Explorer:.

ProDVI: Programmatic Dynamics Priors for Value Network Initialization LLM-Explorer:

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:25:40.611941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0f5a31f3-017b-48bf-9a5a-4e7962ce4f1c · outbound

This paper cites NASDAQ: Normalized Observation Space Dynamics-Augmented Q-Learning.

ProDVI: Programmatic Dynamics Priors for Value Network Initialization NASDAQ: Normalized Observation Space Dynamics-Augmented Q-Learning

Reference 65

Resolution: verified exact; local_arxiv, observed 2026-08-07T19:25:38.442865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation cf285323-92fa-49fa-bd82-1f9e9e554582 · outbound

This paper cites Balis and Gianluca De Cola and Tristan Deleu and Manuel Goul.

ProDVI: Programmatic Dynamics Priors for Value Network Initialization Balis and Gianluca De Cola and Tristan Deleu and Manuel Goul

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:25:40.578639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ff0f8758-5dbc-443f-985e-708b722035bc · outbound

This paper cites Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor , booktitle =.

ProDVI: Programmatic Dynamics Priors for Value Network Initialization Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor , booktitle =

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-07T19:25:38.208303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a2de91d-f8cf-44a3-98c8-b5b9b11149de · outbound

This paper cites The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks , booktitle =.

ProDVI: Programmatic Dynamics Priors for Value Network Initialization The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks , booktitle =

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:25:40.517341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a7b9460e-335f-4a1c-92ed-8fd4f0d3ba19 · outbound

This paper cites Extracting Training Data from Large Language Models , booktitle =.

ProDVI: Programmatic Dynamics Priors for Value Network Initialization Extracting Training Data from Large Language Models , booktitle =

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:25:40.480569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9025be03-8421-4825-b636-38619d580047 · outbound

This paper cites Feder Cooper and Daphne Ippolito and Christopher A.

ProDVI: Programmatic Dynamics Priors for Value Network Initialization Feder Cooper and Daphne Ippolito and Christopher A

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:25:40.439742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 498cb993-99ff-467d-949d-bb375411b7ab · outbound

This paper cites LLM-Empowered State Representation for Reinforcement Learning , booktitle =.

ProDVI: Programmatic Dynamics Priors for Value Network Initialization LLM-Empowered State Representation for Reinforcement Learning , booktitle =

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:25:40.383259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3d6226e5-969d-4743-a68e-d8ae24864efe · outbound

This paper cites Machado , editor =.

ProDVI: Programmatic Dynamics Priors for Value Network Initialization Machado , editor =

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:25:40.340525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 97bff039-c9d6-45d8-9598-263e437c1bf0 · outbound

This paper cites Fernando Hernandez.

ProDVI: Programmatic Dynamics Priors for Value Network Initialization Fernando Hernandez

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-07T19:25:38.247955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e7388b9-080a-4a30-89f1-8480d1af8711 · outbound

This paper cites Sample-Efficient Reinforcement Learning by Breaking the Replay Ratio Barrier , booktitle =.

ProDVI: Programmatic Dynamics Priors for Value Network Initialization Sample-Efficient Reinforcement Learning by Breaking the Replay Ratio Barrier , booktitle =

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:25:40.304122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 98f9ef48-0071-4767-a864-9eade11aca07 · outbound

This paper cites Spectral Normalisation for Deep Reinforcement Learning: An Optimisation Perspective , booktitle =.

ProDVI: Programmatic Dynamics Priors for Value Network Initialization Spectral Normalisation for Deep Reinforcement Learning: An Optimisation Perspective , booktitle =

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:25:40.254629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation aee57e84-63ea-4007-a180-3c19a3fb9bc3 · outbound

This paper cites Gomes and Kilian Q.

ProDVI: Programmatic Dynamics Priors for Value Network Initialization Gomes and Kilian Q

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:25:40.214987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f257213f-79f6-44a2-9d7d-d1f462a5f811 · outbound

This paper cites 2026 , note =.

ProDVI: Programmatic Dynamics Priors for Value Network Initialization 2026 , note =

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:25:40.193143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers