Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training | Paper Citation Record

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This paper cites Investigating Generalization Behaviours of Generative Flow Networks.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Investigating Generalization Behaviours of Generative Flow Networks

Reference 1

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Observation 2a312946-5bdd-4aa3-a5a4-d8a4407c07ad · outbound

This paper cites Why is tanimoto index an appropriate choice for fingerprint-based similarity calculations? Journal of cheminformatics, 7: 0 1--13, 2015.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Why is tanimoto index an appropriate choice for fingerprint-based similarity calculations? Journal of cheminformatics, 7: 0 1--13, 2015

Reference 2

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This paper cites Flow network based generative models for non-iterative diverse candidate generation.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Flow network based generative models for non-iterative diverse candidate generation

Reference 3

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This paper cites Gflownet foundations.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Gflownet foundations

Reference 4

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This paper cites A theory of non-acyclic generative flow networks.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training A theory of non-acyclic generative flow networks

Reference 5

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This paper cites Ergodic Generative Flows.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Ergodic Generative Flows

Reference 6

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This paper cites Jaakkola.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Jaakkola

Reference 7

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This paper cites Offline goal-conditioned reinforcement learning for safety-critical tasks with recovery policy.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Offline goal-conditioned reinforcement learning for safety-critical tasks with recovery policy

Reference 8

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Observation 845aa5b4-2eab-49d9-9ff7-e1e6bf85b5f2 · outbound

This paper cites Kostas, Emma Jordan, and Philip S.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Kostas, Emma Jordan, and Philip S

Reference 9

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This paper cites On the opportunities and challenges of offline reinforcement learning for recommender systems.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training On the opportunities and challenges of offline reinforcement learning for recommender systems

Reference 10

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Observation 656f4a01-b6a2-4926-a78f-b470ce78734f · outbound

This paper cites Order-preserving GF lownets.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Order-preserving GF lownets

Reference 11

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This paper cites Training Verifiers to Solve Math Word Problems.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Training Verifiers to Solve Math Word Problems

Reference 12

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This paper cites Towards Guaranteed Safe AI: A Framework for Ensuring Robust and Reliable AI Systems.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Towards Guaranteed Safe AI: A Framework for Ensuring Robust and Reliable AI Systems

Reference 13

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This paper cites Bayesian structure learning with generative flow networks.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Bayesian structure learning with generative flow networks

Reference 14

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Observation 7cb682ea-d0af-434a-a35d-eebf744d8d1c · outbound

This paper cites Decomposition of uncertainty in bayesian deep learning for efficient and risk-sensitive learning.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Decomposition of uncertainty in bayesian deep learning for efficient and risk-sensitive learning

Reference 15

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This paper cites Learning robust rewards with adverserial inverse reinforcement learning.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Learning robust rewards with adverserial inverse reinforcement learning

Reference 16

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Observation 25b95207-f9b7-4fb2-97d8-08e2eb4d143b · outbound

This paper cites D4RL: Datasets for Deep Data-Driven Reinforcement Learning.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 17

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This paper cites Iq-learn: Inverse soft-q learning for imitation.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Iq-learn: Inverse soft-q learning for imitation

Reference 18

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Observation 8c52a11d-87dd-4cb6-99a5-a10cc20e78a0 · outbound

This paper cites Generative flow networks assisted biological sequence editing.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Generative flow networks assisted biological sequence editing

Reference 19

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Observation 69d1a6d4-773f-4fbc-a375-46f862563da7 · outbound

This paper cites Neural message passing for quantum chemistry.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Neural message passing for quantum chemistry

Reference 20

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This paper cites Optimizing Backward Policies in GFlowNets via Trajectory Likelihood Maximization.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Optimizing Backward Policies in GFlowNets via Trajectory Likelihood Maximization

Reference 21

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This paper cites RL Unplugged: A Suite of Benchmarks for Offline Reinforcement Learning.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training RL Unplugged: A Suite of Benchmarks for Offline Reinforcement Learning

Reference 22

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This paper cites Generative adversarial imitation learning.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Generative adversarial imitation learning

Reference 23

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This paper cites Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Weighting.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Weighting

Reference 24

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This paper cites Amortizing intractable inference in large language models.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Amortizing intractable inference in large language models

Reference 25

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This paper cites Beyond Squared Error: Exploring Loss Design for Enhanced Training of Generative Flow Networks.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Beyond Squared Error: Exploring Loss Design for Enhanced Training of Generative Flow Networks

Reference 26

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This paper cites Biological sequence design with gflownets.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Biological sequence design with gflownets

Reference 27

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Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Gflownets for ai-driven scientific discovery

Reference 28

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This paper cites Multi-objective gflownets.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Multi-objective gflownets

Reference 29

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This paper cites Learning Energy Decompositions for Partial Inference of GFlowNets.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Learning Energy Decompositions for Partial Inference of GFlowNets

Reference 30

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This paper cites Pessimistic Backward Policy for GFlowNets.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Pessimistic Backward Policy for GFlowNets

Reference 31

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This paper cites Junction tree variational autoencoder for molecular graph generation.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Junction tree variational autoencoder for molecular graph generation

Reference 32

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Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset

Reference 33

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This paper cites Ant Colony Sampling with GFlowNets for Combinatorial Optimization.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Ant Colony Sampling with GFlowNets for Combinatorial Optimization

Reference 34

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This paper cites Adaptive teachers for amortized samplers.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Adaptive teachers for amortized samplers

Reference 35

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Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Local search gflownets

Reference 36

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Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning

Reference 37

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Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Imitation learning via off-policy distribution matching

Reference 38

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Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Offline Reinforcement Learning with Implicit Q-Learning

Reference 39

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Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Conservative q-learning for offline reinforcement learning

Reference 40

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This paper cites A theory of continuous generative flow networks.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training A theory of continuous generative flow networks

Reference 41

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Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Qgfn: Controllable greediness with action values

Reference 42

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This paper cites Energy-Based Imitation Learning.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Energy-Based Imitation Learning

Reference 43

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Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Generative flow network for listwise recommendation

Reference 44

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Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Xiao, Weiyang Liu, Yoshua Bengio, and Dinghuai Zhang

Reference 45

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This paper cites Transferable Reward Learning by Dynamics-Agnostic Discriminator Ensemble.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Transferable Reward Learning by Dynamics-Agnostic Discriminator Ensemble

Reference 46

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Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Reward-consistent dynamics models are strongly generalizable for offline reinforcement learning

Reference 47

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This paper cites Learning gflownets from partial episodes for improved convergence and stability.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Learning gflownets from partial episodes for improved convergence and stability

Reference 48

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Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Towards improving exploration through sibling augmented gflownets

Reference 49

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Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Trajectory balance: Improved credit assignment in gflownets

Reference 50

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Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training GFlowNets and variational inference

Reference 51

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This paper cites Maximum entropy gflownets with soft q-learning.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Maximum entropy gflownets with soft q-learning

Reference 52

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This paper cites Revisiting Non-Acyclic GFlowNets in Discrete Environments.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Revisiting Non-Acyclic GFlowNets in Discrete Environments

Reference 53

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This paper cites Algorithms for inverse reinforcement learning.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Algorithms for inverse reinforcement learning

Reference 54

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Observation 4502d76f-a93c-43c6-ad13-c27faff9ab57 · outbound

This paper cites Training language models to follow instructions with human feedback.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Training language models to follow instructions with human feedback

Reference 55

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This paper cites Generative Augmented Flow Networks.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Generative Augmented Flow Networks

Reference 56

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This paper cites Better training of gflownets with local credit and incomplete trajectories.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Better training of gflownets with local credit and incomplete trajectories

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:07:06.282783Z

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This paper cites Stochastic generative flow networks.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Stochastic generative flow networks

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:07:06.036562Z

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Observation a77d252e-8a5f-425c-9252-1a751c754fd5 · outbound

This paper cites Dbaasp v3: database of antimicrobial/cytotoxic activity and structure of peptides as a resource for development of new therapeutics.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Dbaasp v3: database of antimicrobial/cytotoxic activity and structure of peptides as a resource for development of new therapeutics

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:07:05.904688Z

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Observation f2eda5c3-4c22-4ea1-be95-09c5d91394d7 · outbound

This paper cites Goal-conditioned GFlowNets for Controllable Multi-Objective Molecular Design.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Goal-conditioned GFlowNets for Controllable Multi-Objective Molecular Design

Reference 60

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:06:59.803036Z

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Observation 3d6c531f-af69-40cf-865f-d4d4f8757d0b · outbound

This paper cites Improved off-policy training of diffusion samplers.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Improved off-policy training of diffusion samplers

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:07:05.727147Z

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Observation d3a2cfef-bd2a-4046-9c32-41679f9ba5f5 · outbound

This paper cites Towards understanding and improving gflownet training.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Towards understanding and improving gflownet training

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:07:05.555180Z

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Observation 1d920b32-bf7d-4c44-aeb6-df718aec3f86 · outbound

This paper cites On divergence measures for training GF lownets.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training On divergence measures for training GF lownets

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:07:05.375013Z

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Observation 1f2b4409-57a2-4bd6-a64c-4745ebc4d083 · outbound

This paper cites When do GF lownets learn the right distribution? In The Thirteenth International Conference on Learning Representations, 2025.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training When do GF lownets learn the right distribution? In The Thirteenth International Conference on Learning Representations, 2025

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:07:05.111318Z

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This paper cites Generative flow networks as entropy-regularized rl.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Generative flow networks as entropy-regularized rl

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:07:04.780274Z

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Observation 55d6f587-9835-4d48-9e64-77d67b74bd92 · outbound

This paper cites Dynameomics: a comprehensive database of protein dynamics.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Dynameomics: a comprehensive database of protein dynamics

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:07:04.488609Z

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This paper cites Amortizing intractable inference in diffusion models for vision, language, and control.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Amortizing intractable inference in diffusion models for vision, language, and control

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:07:04.152511Z

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Observation 12de91d8-82e7-4c4c-9c71-58b89b2a78a6 · outbound

This paper cites Regularized offline GF lownets, 2023.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Regularized offline GF lownets, 2023

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:07:03.890655Z

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Observation d2b6cb0f-cb29-40d9-abc5-c42372b0da59 · outbound

This paper cites Advdiffuser: Generating adversarial safety-critical driving scenarios via guided diffusion.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Advdiffuser: Generating adversarial safety-critical driving scenarios via guided diffusion

Reference 69

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Observation 133d0371-d11b-4850-a9cb-cdca41577b9a · outbound

This paper cites Error bounds of imitating policies and environments for reinforcement learning.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Error bounds of imitating policies and environments for reinforcement learning

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:07:03.561601Z

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Observation 14fb4903-b29e-4fd2-8f07-b72e63265d87 · outbound

This paper cites Flow of Reasoning: Training LLMs for Divergent Reasoning with Minimal Examples.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Flow of Reasoning: Training LLMs for Divergent Reasoning with Minimal Examples

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-07T14:06:57.990138Z

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Observation 521463d7-f910-4678-9c99-428f91e9d875 · outbound

This paper cites Learn what not to learn: Action elimination with deep reinforcement learning.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Learn what not to learn: Action elimination with deep reinforcement learning

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:07:03.254915Z

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Observation 065170fc-2018-4c21-8459-fa9022fbde45 · outbound

This paper cites Generative flow networks for discrete probabilistic modeling.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Generative flow networks for discrete probabilistic modeling

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:07:02.950298Z

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Observation 70994c33-b9fa-49fc-9cad-efa63ec35cc6 · outbound

This paper cites Let the flows tell: Solving graph combinatorial problems with GF lownets.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Let the flows tell: Solving graph combinatorial problems with GF lownets

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:07:02.757538Z

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Observation 58e6046e-ccfb-4d87-9324-2ef628215e4a · outbound

This paper cites Distributional GFlowNets with Quantile Flows.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Distributional GFlowNets with Quantile Flows

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-07T14:06:58.052040Z

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Observation 761b63e1-7b62-49c8-b61e-57fab653f057 · outbound

This paper cites Adversarial generative flow network for solving vehicle routing problems.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Adversarial generative flow network for solving vehicle routing problems

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:07:02.584854Z

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Observation f96d377e-3a98-48ab-ad0d-432002456453 · outbound

This paper cites COF lownet: Conservative constraints on flows enable high-quality candidate generation.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training COF lownet: Conservative constraints on flows enable high-quality candidate generation

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:07:02.372906Z

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Observation f621da51-dc6c-49fa-a838-41a303814fda · outbound

This paper cites Automatic curriculum learning through value disagreement.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Automatic curriculum learning through value disagreement

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:07:02.195529Z

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Observation a3a57f06-3781-4b9c-a1f1-4681076f0dc8 · outbound

This paper cites Sample-efficient multi-objective molecular optimization with gflownets.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Sample-efficient multi-objective molecular optimization with gflownets

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:07:02.036871Z

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Observation 6384325e-8274-40c2-8f5a-253450ae0260 · outbound

This paper cites Maximum entropy inverse reinforcement learning.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Maximum entropy inverse reinforcement learning

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-07T14:06:58.245162Z

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Observation 103d4c21-96f9-4102-b9ba-612080de986b · outbound

This paper cites Ziebart, J.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Ziebart, J

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:07:01.833567Z

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Observation f665048d-1725-47b5-995c-3e4c3da082e4 · outbound

This paper cites Fine-Tuning Language Models from Human Preferences.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Fine-Tuning Language Models from Human Preferences

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-07T14:06:58.573483Z

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Observation d5898f2e-9d36-4f56-bf51-4c39a8e39a7a · outbound

This paper cites A variational perspective on generative flow networks.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training A variational perspective on generative flow networks

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:07:01.666621Z

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Observation 65e59bf7-bbd4-4320-b844-8788df31577d · outbound

This paper cites write newline.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training write newline

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-07T14:06:58.818203Z

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Observation 1275dd23-e228-4ccd-b185-f27161277cfa · outbound

This paper cites @esa (Ref.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training @esa (Ref

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-07T14:06:58.924588Z

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Observation bab3555e-3cfa-4231-9cf3-cd4ab4c333dd · outbound

This paper cites an unresolved cited work.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Unresolved cited work

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-07T14:06:59.074626Z

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Observation b5d9e50b-d8cc-440c-b668-6d4f11f0e042 · outbound

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Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training ?+dp ǝA/8n6aN-Fo 7F<B :qRwl3d 9K 1

Reference 87

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