Paper Citation Record · LEDGER

Extremum Flow Matching for Offline Goal Conditioned Reinforcement Learning

As of 8 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 1 inbound Pith citation observation for arXiv:2505.19717.

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

pith.paper-citation-record.v1
2505.19717 v2

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:13:13.797334Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

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

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T23:42:36.301802Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

48 of 48 outbound references displayed

verified exact1
verified fuzzy38
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e5d39efb-a081-4752-b35c-9481816f62e2 · outbound

This paper cites Implicit behavioral cloning,.

Extremum Flow Matching for Offline Goal Conditioned Reinforcement Learning Implicit behavioral cloning,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:22.614774Z

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 1a6cdce9-e039-4a68-a949-71757b0f889a · outbound

This paper cites Diffusion policy: Visuomotor policy learning via action diffusion,.

Extremum Flow Matching for Offline Goal Conditioned Reinforcement Learning Diffusion policy: Visuomotor policy learning via action diffusion,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:22.402120Z

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 545533ad-a22b-4268-b677-3107de5ee5dd · outbound

This paper cites $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control.

Extremum Flow Matching for Offline Goal Conditioned Reinforcement Learning $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T14:13:10.424065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c4a7aec-3d89-47ae-9f2b-90f4d5b8d11b · outbound

This paper cites Goal-conditioned imitation learning,.

Extremum Flow Matching for Offline Goal Conditioned Reinforcement Learning Goal-conditioned imitation learning,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:22.027716Z

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 731f510a-c990-4e97-8bbe-2825ae134f8d · outbound

This paper cites Goal-conditioned imitation learning using score-based diffusion policies,.

Extremum Flow Matching for Offline Goal Conditioned Reinforcement Learning Goal-conditioned imitation learning using score-based diffusion policies,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:21.830239Z

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 9b456f13-4791-4eee-bcf3-7444acd4476c · outbound

This paper cites From play to policy: Conditional behavior generation from uncurated robot data,.

Extremum Flow Matching for Offline Goal Conditioned Reinforcement Learning From play to policy: Conditional behavior generation from uncurated robot data,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:21.654084Z

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 a4069876-c30a-425f-8b2a-f384bb88072f · outbound

This paper cites Nomad: Goal masked diffusion policies for navigation and exploration,.

Extremum Flow Matching for Offline Goal Conditioned Reinforcement Learning Nomad: Goal masked diffusion policies for navigation and exploration,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:21.488868Z

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 df922980-78c7-4ef6-ac36-7b18b4a68d66 · outbound

This paper cites Multimodal diffusion transformer: Learning versatile behavior from multimodal goals,.

Extremum Flow Matching for Offline Goal Conditioned Reinforcement Learning Multimodal diffusion transformer: Learning versatile behavior from multimodal goals,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:21.261925Z

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 95232859-c92e-44fc-a6b5-9d286f34d531 · outbound

This paper cites Ai robots and humanoid ai: Review, perspectives and directions,.

Extremum Flow Matching for Offline Goal Conditioned Reinforcement Learning Ai robots and humanoid ai: Review, perspectives and directions,

Reference 9

Resolution: verified exact; raw_fallback, observed 2026-08-07T14:13:14.277435Z

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 bed0a074-b8f6-4ae5-8dca-5fbbc952a21b · outbound

This paper cites Advancements in humanoid robots: A comprehensive review and future prospects,.

Extremum Flow Matching for Offline Goal Conditioned Reinforcement Learning Advancements in humanoid robots: A comprehensive review and future prospects,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:21.075008Z

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 4903d5d4-4924-4edc-9666-beb5d5bda6ec · outbound

This paper cites Learning latent plans from play,.

Extremum Flow Matching for Offline Goal Conditioned Reinforcement Learning Learning latent plans from play,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:20.890454Z

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 fb6ed1a5-795b-4f13-93c0-28d0132aa7e6 · outbound

This paper cites Calvin: A benchmark for language-conditioned policy learning for long-horizon robot manipulation tasks,.

Extremum Flow Matching for Offline Goal Conditioned Reinforcement Learning Calvin: A benchmark for language-conditioned policy learning for long-horizon robot manipulation tasks,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:20.704051Z

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 bdbb5133-b17e-40f3-bf55-c3befb7d3cd4 · outbound

This paper cites Mimicplay: Long-horizon imitation learning by watching human play,.

Extremum Flow Matching for Offline Goal Conditioned Reinforcement Learning Mimicplay: Long-horizon imitation learning by watching human play,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:20.491154Z

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 021dbde6-fc11-423c-a7f9-7defa8cfbc22 · outbound

This paper cites Is conditional generative modeling all you need for decision-making?.

Extremum Flow Matching for Offline Goal Conditioned Reinforcement Learning Is conditional generative modeling all you need for decision-making?

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:20.295710Z

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 f15a7ee0-fe1c-4b0f-a0e8-b8a78106587a · outbound

This paper cites Offline reinforcement learning with implicit q-learning,.

Extremum Flow Matching for Offline Goal Conditioned Reinforcement Learning Offline reinforcement learning with implicit q-learning,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:20.106721Z

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 708a9874-fd61-4b2a-9b31-57e6197c721c · outbound

This paper cites Enhancing Decision Transformer with Diffusion-Based Trajectory Branch Generation.

Extremum Flow Matching for Offline Goal Conditioned Reinforcement Learning Enhancing Decision Transformer with Diffusion-Based Trajectory Branch Generation

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T14:13:11.951580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7443e3d9-cd8e-4f5c-9272-bc9676f77238 · outbound

This paper cites Hiql: Offline goal-conditioned rl with latent states as actions,.

Extremum Flow Matching for Offline Goal Conditioned Reinforcement Learning Hiql: Offline goal-conditioned rl with latent states as actions,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:19.887373Z

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 4bae52af-8a73-4158-bdc7-f6b3dfb4de4a · outbound

This paper cites Stitching sub-trajectories with conditional diffusion model for goal-conditioned offline rl,.

Extremum Flow Matching for Offline Goal Conditioned Reinforcement Learning Stitching sub-trajectories with conditional diffusion model for goal-conditioned offline rl,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:19.724139Z

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 8a6a99a4-a041-4f00-a893-3b1fb963cc1f · outbound

This paper cites What makes a good diffusion planner for decision making?.

Extremum Flow Matching for Offline Goal Conditioned Reinforcement Learning What makes a good diffusion planner for decision making?

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:19.547599Z

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 3198f40b-b5fb-47f6-9ac6-8735306c7c98 · outbound

This paper cites Denoising diffusion probabilistic models,.

Extremum Flow Matching for Offline Goal Conditioned Reinforcement Learning Denoising diffusion probabilistic models,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:19.350494Z

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 de914c0c-c73c-4958-a4e7-002d8378602f · outbound

This paper cites Denoising diffusion implicit models,.

Extremum Flow Matching for Offline Goal Conditioned Reinforcement Learning Denoising diffusion implicit models,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T14:13:12.411901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1306ac9a-0419-4f3a-a203-b9f51252a0f8 · outbound

This paper cites Flow straight and fast: Learning to generate and transfer data with rectified flow,.

Extremum Flow Matching for Offline Goal Conditioned Reinforcement Learning Flow straight and fast: Learning to generate and transfer data with rectified flow,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:19.113131Z

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 fe276f90-0e4b-4eca-9a79-184924bb178e · outbound

This paper cites Planning with diffusion for flexible behavior synthesis,.

Extremum Flow Matching for Offline Goal Conditioned Reinforcement Learning Planning with diffusion for flexible behavior synthesis,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:18.860586Z

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 1927f3b7-3165-40da-8259-27fc69aa2cd5 · outbound

This paper cites Generative skill chaining: Long-horizon skill planning with diffusion models,.

Extremum Flow Matching for Offline Goal Conditioned Reinforcement Learning Generative skill chaining: Long-horizon skill planning with diffusion models,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:18.670948Z

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 32d62a88-606e-466e-a467-a2a6964ed055 · outbound

This paper cites Simple hierarchical planning with diffusion,.

Extremum Flow Matching for Offline Goal Conditioned Reinforcement Learning Simple hierarchical planning with diffusion,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:18.441594Z

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 834b33c4-2866-4984-9b55-7fba85d288e0 · outbound

This paper cites Generative Trajectory Stitching through Diffusion Composition.

Extremum Flow Matching for Offline Goal Conditioned Reinforcement Learning Generative Trajectory Stitching through Diffusion Composition

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T14:13:12.795022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a21a3ae-a52f-4449-9a5f-04e6ed277102 · outbound

This paper cites Stochastic Interpolants: A Unifying Framework for Flows and Diffusions.

Extremum Flow Matching for Offline Goal Conditioned Reinforcement Learning Stochastic Interpolants: A Unifying Framework for Flows and Diffusions

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T14:13:12.862097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70781da1-cd8b-409c-8c14-15bebfdf3d53 · outbound

This paper cites Building normalizing flows with stochastic interpolants,.

Extremum Flow Matching for Offline Goal Conditioned Reinforcement Learning Building normalizing flows with stochastic interpolants,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:18.235006Z

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 89c0b14b-1dcb-463d-82d1-5d5875188898 · outbound

This paper cites Flow matching imitation learning for multi-support manipulation,.

Extremum Flow Matching for Offline Goal Conditioned Reinforcement Learning Flow matching imitation learning for multi-support manipulation,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:17.950601Z

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 c853b701-481d-4bce-8cd9-f0996d581477 · outbound

This paper cites Adaflow: Imitation learning with variance-adaptive flow-based policies,.

Extremum Flow Matching for Offline Goal Conditioned Reinforcement Learning Adaflow: Imitation learning with variance-adaptive flow-based policies,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:17.636475Z

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 96ea8430-2587-4a30-bb67-39060cfb86a5 · outbound

This paper cites Riemannian flow matching policy for robot motion learning,.

Extremum Flow Matching for Offline Goal Conditioned Reinforcement Learning Riemannian flow matching policy for robot motion learning,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:17.342071Z

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 ef7e17d1-7ff4-4255-a85d-8a98bc72d3c3 · outbound

This paper cites Flowpolicy: Enabling fast and robust 3d flow-based policy via consistency flow matching for robot manipulation,.

Extremum Flow Matching for Offline Goal Conditioned Reinforcement Learning Flowpolicy: Enabling fast and robust 3d flow-based policy via consistency flow matching for robot manipulation,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:17.058813Z

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 8205e69e-8374-4dde-aea1-9753110244a2 · outbound

This paper cites Energy-Weighted Flow Matching for Offline Reinforcement Learning.

Extremum Flow Matching for Offline Goal Conditioned Reinforcement Learning Energy-Weighted Flow Matching for Offline Reinforcement Learning

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T14:13:13.112158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa4a88f4-afdb-4f5d-98f1-c7b338a2f3e2 · outbound

This paper cites Flow Q-Learning.

Extremum Flow Matching for Offline Goal Conditioned Reinforcement Learning Flow Q-Learning

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T14:13:13.146702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01f4e5b4-624c-4376-9fe7-d79390b9d59e · outbound

This paper cites Hindsight experience replay,.

Extremum Flow Matching for Offline Goal Conditioned Reinforcement Learning Hindsight experience replay,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:16.801712Z

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 1f78d3f2-69d4-4616-a575-2b91b380fc2c · outbound

This paper cites Asymmetric least squares estimation and testing,.

Extremum Flow Matching for Offline Goal Conditioned Reinforcement Learning Asymmetric least squares estimation and testing,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:16.509655Z

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 ec3fd0cf-ccde-487c-b2c0-01cff93c2db5 · outbound

This paper cites Diffusion World Model: Future Modeling Beyond Step-by-Step Rollout for Offline Reinforcement Learning.

Extremum Flow Matching for Offline Goal Conditioned Reinforcement Learning Diffusion World Model: Future Modeling Beyond Step-by-Step Rollout for Offline Reinforcement Learning

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T14:13:13.314904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19850cc5-4ade-4f1a-87b4-16ffda805e30 · outbound

This paper cites Learning from reward-free offline data: A case for planning with latent dynamics models,.

Extremum Flow Matching for Offline Goal Conditioned Reinforcement Learning Learning from reward-free offline data: A case for planning with latent dynamics models,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T14:13:13.343958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8eb96060-8aa9-4b17-ab64-bf9d1822dbca · outbound

This paper cites Double q-learning,.

Extremum Flow Matching for Offline Goal Conditioned Reinforcement Learning Double q-learning,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:16.263908Z

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 663eabc0-78d3-47f2-902d-36d325c33f32 · outbound

This paper cites Ogbench: Benchmarking offline goal-conditioned rl,.

Extremum Flow Matching for Offline Goal Conditioned Reinforcement Learning Ogbench: Benchmarking offline goal-conditioned rl,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:16.015627Z

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 4626e549-5c9e-4d85-b8ac-0e43bf6fcc8c · outbound

This paper cites Learning to reach goals via iterated supervised learning,.

Extremum Flow Matching for Offline Goal Conditioned Reinforcement Learning Learning to reach goals via iterated supervised learning,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:15.786014Z

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 a013d2db-8ba5-4a23-b30c-3a3a2d508bcd · outbound

This paper cites Optimal goal-reaching reinforcement learning via quasimetric learning,.

Extremum Flow Matching for Offline Goal Conditioned Reinforcement Learning Optimal goal-reaching reinforcement learning via quasimetric learning,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:15.541101Z

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 4bb78712-a42b-4ab0-adb2-5b63d0bd26d3 · outbound

This paper cites Contrastive learning as goal-conditioned reinforcement learning,.

Extremum Flow Matching for Offline Goal Conditioned Reinforcement Learning Contrastive learning as goal-conditioned reinforcement learning,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:15.354411Z

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 da8add89-25ef-46c2-b455-fe45eb9974f8 · outbound

This paper cites Multi-contact whole-body force control for position-controlled robots,.

Extremum Flow Matching for Offline Goal Conditioned Reinforcement Learning Multi-contact whole-body force control for position-controlled robots,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:15.185382Z

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 762971fe-d9bf-44db-bbe8-893477d1d338 · outbound

This paper cites Multicontact motion retarget- ing using whole-body optimization of full kinematics and sequential force equilibrium,.

Extremum Flow Matching for Offline Goal Conditioned Reinforcement Learning Multicontact motion retarget- ing using whole-body optimization of full kinematics and sequential force equilibrium,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:15.007210Z

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 0f028772-3bba-49c6-b87b-8fecd00b2bc4 · outbound

This paper cites Collaborative bimanual manipulation using optimal motion adaptation and interaction control,.

Extremum Flow Matching for Offline Goal Conditioned Reinforcement Learning Collaborative bimanual manipulation using optimal motion adaptation and interaction control,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:14.893102Z

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 ee689ab7-eded-40f9-a5a4-e323512eafca · outbound

This paper cites Impala: Scalable distributed deep-rl with importance weighted actor-learner architectures,.

Extremum Flow Matching for Offline Goal Conditioned Reinforcement Learning Impala: Scalable distributed deep-rl with importance weighted actor-learner architectures,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:14.724425Z

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 ee2d83bd-d09c-4c3d-8058-2bd59ce1f32b · outbound

This paper cites On the continuity of rotation representations in neural networks,.

Extremum Flow Matching for Offline Goal Conditioned Reinforcement Learning On the continuity of rotation representations in neural networks,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:14.515702Z

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.

Pith citing papers

Observation b662e099-3a64-48af-be54-918eed490f37 · inbound

Native Extrapolation Awareness in Flow-Based Conditional Generation cites this paper.

Native Extrapolation Awareness in Flow-Based Conditional Generation Extremum Flow Matching for Offline Goal Conditioned Reinforcement Learning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-02T23:42:36.301802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.