Paper Citation Record · LEDGER

ReconDreamer-RL: Enhancing Reinforcement Learning via Diffusion-based Scene Reconstruction

As of 7 August 2026, this Paper Citation Record lists 10 of 10 outbound references and 16 inbound Pith citation observations for arXiv:2508.08170.

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

pith.paper-citation-record.v1
2508.08170 v2

Coverage vector

measured 10 of 10 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T21:42:32.990372Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T03:16:53.025755Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T03:59:33.829869Z

Reference resolution

10 of 10 outbound references displayed

verified exact0
verified fuzzy0
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 65f69500-6aa6-461c-a021-5cc9b0f6d118 · outbound

This paper cites Periodic Vibration Gaussian: Dynamic Urban Scene Reconstruction and Real-time Rendering.

ReconDreamer-RL: Enhancing Reinforcement Learning via Diffusion-based Scene Reconstruction Periodic Vibration Gaussian: Dynamic Urban Scene Reconstruction and Real-time Rendering

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-05T21:42:32.408236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 376e100a-c07a-44cf-a3ed-b20f5cabf601 · outbound

This paper cites YOLOv11: An Overview of the Key Architectural Enhancements.

ReconDreamer-RL: Enhancing Reinforcement Learning via Diffusion-based Scene Reconstruction YOLOv11: An Overview of the Key Architectural Enhancements

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T21:42:32.645426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03c2bda3-6ee2-43fb-a09d-630724e5fa88 · outbound

This paper cites Street Gaussians: Modeling Dynamic Urban Scenes with Gaussian Splatting.

ReconDreamer-RL: Enhancing Reinforcement Learning via Diffusion-based Scene Reconstruction Street Gaussians: Modeling Dynamic Urban Scenes with Gaussian Splatting

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T21:42:32.924501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a8960dc-8b8f-44f1-9177-ed9f24c14839 · outbound

This paper cites DiffusionAD: Norm-guided One-step Denoising Diffusion for Anomaly Detection.

ReconDreamer-RL: Enhancing Reinforcement Learning via Diffusion-based Scene Reconstruction DiffusionAD: Norm-guided One-step Denoising Diffusion for Anomaly Detection

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T21:42:32.990372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f48b743-8203-4f8d-b8d1-acca1f12993a · outbound

This paper cites Hydra-MDP: End-to-end Multimodal Planning with Multi-target Hydra-Distillation.

ReconDreamer-RL: Enhancing Reinforcement Learning via Diffusion-based Scene Reconstruction Hydra-MDP: End-to-end Multimodal Planning with Multi-target Hydra-Distillation

Reference 158

Resolution: unresolved; no resolver link, observed 2026-08-05T21:42:32.734655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fae43f99-67e5-49ec-9452-729171faf3d3 · outbound

This paper cites CARIL: Confidence-Aware Regression in Imitation Learning for Autonomous Driving.

ReconDreamer-RL: Enhancing Reinforcement Learning via Diffusion-based Scene Reconstruction CARIL: Confidence-Aware Regression in Imitation Learning for Autonomous Driving

Reference 2019

Resolution: metadata mismatch; local_arxiv, observed 2026-08-05T21:42:33.209972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c78a6916-196c-4a98-97ad-70ee81e84fb6 · outbound

This paper cites NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles.

ReconDreamer-RL: Enhancing Reinforcement Learning via Diffusion-based Scene Reconstruction NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-05T21:42:32.246311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4fbbca3-9eb6-4cc7-b5bc-000cd4ffa5a7 · outbound

This paper cites Proximal Policy Optimization Algorithms.

ReconDreamer-RL: Enhancing Reinforcement Learning via Diffusion-based Scene Reconstruction Proximal Policy Optimization Algorithms

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-05T21:42:32.831219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 279d2d21-50c6-44b0-99a7-456aca18e8dc · outbound

This paper cites VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning.

ReconDreamer-RL: Enhancing Reinforcement Learning via Diffusion-based Scene Reconstruction VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-05T21:42:32.338123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6cac206-e277-4931-b6c3-fd8072dbe630 · outbound

This paper cites AlphaDrive: Unleashing the Power of VLMs in Autonomous Driving via Reinforcement Learning and Reasoning.

ReconDreamer-RL: Enhancing Reinforcement Learning via Diffusion-based Scene Reconstruction AlphaDrive: Unleashing the Power of VLMs in Autonomous Driving via Reinforcement Learning and Reasoning

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-05T21:42:32.589217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 2de14ce3-b88a-4848-b897-51fdbfbe6f2c · inbound

DriveLaW:Unifying Planning and Video Generation in a Latent Driving World cites this paper.

DriveLaW:Unifying Planning and Video Generation in a Latent Driving World ReconDreamer-RL: Enhancing Reinforcement Learning via Diffusion-based Scene Reconstruction

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-16T19:38:21.046767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6a686d4f-928f-471a-b489-c0224f0f33b7 · inbound

VAG: Dual-Stream Video-Action Generation for Embodied Data Synthesis cites this paper.

VAG: Dual-Stream Video-Action Generation for Embodied Data Synthesis ReconDreamer-RL: Enhancing Reinforcement Learning via Diffusion-based Scene Reconstruction

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:11:01.202677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 05b8a0cf-1afc-4b54-86f9-405ab8630d57 · inbound

BridgeSim: Unveiling the OL-CL Gap in End-to-End Autonomous Driving cites this paper.

BridgeSim: Unveiling the OL-CL Gap in End-to-End Autonomous Driving ReconDreamer-RL: Enhancing Reinforcement Learning via Diffusion-based Scene Reconstruction

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:16:08.930209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bec0fbcf-48ea-4449-8ea9-80319859acf8 · inbound

RAD-2: Scaling Reinforcement Learning in a Generator-Discriminator Framework cites this paper.

RAD-2: Scaling Reinforcement Learning in a Generator-Discriminator Framework ReconDreamer-RL: Enhancing Reinforcement Learning via Diffusion-based Scene Reconstruction

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:50:21.155676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d00e34b6-2ac0-4231-9dfd-d3f38b5c1339 · inbound

ReTrack: Evidence-Driven Dual-Stream Directional Anchor Calibration Network for Composed Video Retrieval cites this paper.

ReTrack: Evidence-Driven Dual-Stream Directional Anchor Calibration Network for Composed Video Retrieval ReconDreamer-RL: Enhancing Reinforcement Learning via Diffusion-based Scene Reconstruction

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-10T12:05:23.111362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cf11be99-dd01-479a-84f0-a798668ed94c · inbound

HABIT: Chrono-Synergia Robust Progressive Learning Framework for Composed Image Retrieval cites this paper.

HABIT: Chrono-Synergia Robust Progressive Learning Framework for Composed Image Retrieval ReconDreamer-RL: Enhancing Reinforcement Learning via Diffusion-based Scene Reconstruction

Reference 130

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:30:19.982501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 49776a9e-4714-4746-81b5-cb842a0eca41 · inbound

INTENT: Invariance and Discrimination-aware Noise Mitigation for Robust Composed Image Retrieval cites this paper.

INTENT: Invariance and Discrimination-aware Noise Mitigation for Robust Composed Image Retrieval ReconDreamer-RL: Enhancing Reinforcement Learning via Diffusion-based Scene Reconstruction

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-10T12:05:22.678618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cb2ef423-00e6-4cd5-9941-b0ca0ad933aa · inbound

GSDrive: Reinforcing Driving Policies by Multi-mode Future Trajectory Probing with 3D Gaussian Splatting Environment cites this paper.

GSDrive: Reinforcing Driving Policies by Multi-mode Future Trajectory Probing with 3D Gaussian Splatting Environment ReconDreamer-RL: Enhancing Reinforcement Learning via Diffusion-based Scene Reconstruction

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:21:30.690327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4ad210c9-151e-493c-a56c-62ce900be985 · inbound

GSDrive: Reinforcing Driving Policies by Multi-mode Future Trajectory Probing with 3D Gaussian Splatting Environment cites this paper.

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-19T16:47:39.973304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c3b6f729-5c2f-4b65-a2ce-efd1bd22578b · inbound

CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies cites this paper.

CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies ReconDreamer-RL: Enhancing Reinforcement Learning via Diffusion-based Scene Reconstruction

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:41:06.638765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 06ec848d-4bbc-4f4c-812a-e730aba0f7b8 · inbound

Towards Interactive Video World Modeling: Frontiers, Challenges, Benchmarks, and Future Trends cites this paper.

Towards Interactive Video World Modeling: Frontiers, Challenges, Benchmarks, and Future Trends ReconDreamer-RL: Enhancing Reinforcement Learning via Diffusion-based Scene Reconstruction

Reference 159

Resolution: verified exact; arxiv_id, observed 2026-07-01T21:06:14.184729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation db616bb0-95f7-4f6a-851d-24d6f41fb599 · inbound

Scaling Self-Play for End-to-End Driving cites this paper.

Scaling Self-Play for End-to-End Driving ReconDreamer-RL: Enhancing Reinforcement Learning via Diffusion-based Scene Reconstruction

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-07-04T01:29:22.354375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d20960fd-955c-4e5c-9429-125f284ea59a · inbound

World Engine: Towards the Era of Post-Training for Autonomous Driving cites this paper.

World Engine: Towards the Era of Post-Training for Autonomous Driving ReconDreamer-RL: Enhancing Reinforcement Learning via Diffusion-based Scene Reconstruction

Reference 105

Resolution: verified exact; arxiv_id, observed 2026-07-04T03:59:33.832183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3455965d-697c-408c-911e-7879b5367f59 · inbound

ReWorld: Learning Better Representations for World Action Models cites this paper.

ReWorld: Learning Better Representations for World Action Models ReconDreamer-RL: Enhancing Reinforcement Learning via Diffusion-based Scene Reconstruction

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-07-01T18:25:58.394390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 59cee31d-d295-4633-a340-a05f9727f6d8 · inbound

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation cites this paper.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation ReconDreamer-RL: Enhancing Reinforcement Learning via Diffusion-based Scene Reconstruction

Reference 90

Resolution: unresolved; no resolver link, observed 2026-07-12T08:04:48.963890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59813907-6f9a-448b-bee4-86275d0e5643 · inbound

GigaWorld-Policy-0.5: A Faster and Stronger WAM Empowered by AutoResearch cites this paper.

GigaWorld-Policy-0.5: A Faster and Stronger WAM Empowered by AutoResearch ReconDreamer-RL: Enhancing Reinforcement Learning via Diffusion-based Scene Reconstruction

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-02T03:16:53.025755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.