Paper Citation Record · LEDGER

Generative Control as Optimization: Time Unconditional Flow Matching for Adaptive and Robust Robotic Control

As of 5 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2603.17834.

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

pith.paper-citation-record.v1
2603.17834 v2

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-15T08:39:03.661087Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

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

35 of 35 outbound references displayed

verified exact24
verified fuzzy2
unresolved0
parse uncertain0
malformed identifier1
metadata mismatch8

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3ed2f5d2-8b48-4930-ab80-88019fec1d6f · outbound

This paper cites Is Conditional Generative Modeling all you need for Decision-Making?.

Generative Control as Optimization: Time Unconditional Flow Matching for Adaptive and Robust Robotic Control Is Conditional Generative Modeling all you need for Decision-Making?

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-15T15:35:11.667805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7c49488a-a021-4376-b0da-2b9ca8ba7033 · outbound

This paper cites Qwen Technical Report.

Generative Control as Optimization: Time Unconditional Flow Matching for Adaptive and Robust Robotic Control Qwen Technical Report

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-05-15T08:39:52.196766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b36c8720-bcde-4515-960d-8c543c5d49ad · outbound

This paper cites PaliGemma: A versatile 3B VLM for transfer.

Generative Control as Optimization: Time Unconditional Flow Matching for Adaptive and Robust Robotic Control PaliGemma: A versatile 3B VLM for transfer

Reference 3

Resolution: metadata mismatch; local_arxiv, observed 2026-05-15T08:39:52.183232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f9c4ec2c-f156-4716-8992-2db97123a5e8 · outbound

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

Generative Control as Optimization: Time Unconditional Flow Matching for Adaptive and Robust Robotic Control $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-15T08:39:52.171707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8f61f370-4ef2-4532-88d7-04464fa45831 · outbound

This paper cites Real-Time Execution of Action Chunking Flow Policies.

Generative Control as Optimization: Time Unconditional Flow Matching for Adaptive and Robust Robotic Control Real-Time Execution of Action Chunking Flow Policies

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-15T14:18:51.874694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2377f239-fd64-4a3e-b193-fefe867984ad · outbound

This paper cites UniVLA: Learning to Act Anywhere with Task-centric Latent Actions.

Generative Control as Optimization: Time Unconditional Flow Matching for Adaptive and Robust Robotic Control UniVLA: Learning to Act Anywhere with Task-centric Latent Actions

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-15T08:39:52.186759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6edd9745-16a2-42ed-a7e8-9286da805900 · outbound

This paper cites Large Video Planner Enables Generalizable Robot Control.

Generative Control as Optimization: Time Unconditional Flow Matching for Adaptive and Robust Robotic Control Large Video Planner Enables Generalizable Robot Control

Reference 7

Resolution: metadata mismatch; local_arxiv, observed 2026-05-15T08:39:52.190151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation bb9c2b75-a732-475c-8dcf-f995635afe6f · outbound

This paper cites Conditioning Matters: Training Diffusion Policies is Faster Than You Think.

Generative Control as Optimization: Time Unconditional Flow Matching for Adaptive and Robust Robotic Control Conditioning Matters: Training Diffusion Policies is Faster Than You Think

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-15T08:39:52.184016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 14d6e105-8402-4429-ab3c-f58262f4907f · outbound

This paper cites J., Paterson, C., and Habli, I.

Generative Control as Optimization: Time Unconditional Flow Matching for Adaptive and Robust Robotic Control J., Paterson, C., and Habli, I

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-15T08:39:52.176059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f5380aa1-4d9e-462e-89c7-67f6fe4ade83 · outbound

This paper cites Flexible loco- motion learning with diffusion model predictive control.

Generative Control as Optimization: Time Unconditional Flow Matching for Adaptive and Robust Robotic Control Flexible loco- motion learning with diffusion model predictive control

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-15T08:39:52.236095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f91a998e-9bdd-4347-94ed-7c039f358c8f · outbound

This paper cites Planning with Diffusion for Flexible Behavior Synthesis.

Generative Control as Optimization: Time Unconditional Flow Matching for Adaptive and Robust Robotic Control Planning with Diffusion for Flexible Behavior Synthesis

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-05-15T08:39:52.201338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2c49f8d8-2277-4ab1-9bc8-a43fcf518736 · outbound

This paper cites Galaxea Open-World Dataset and G0 Dual-System VLA Model.

Generative Control as Optimization: Time Unconditional Flow Matching for Adaptive and Robust Robotic Control Galaxea Open-World Dataset and G0 Dual-System VLA Model

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-15T08:39:52.228173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation cfe01dcd-c04e-4f58-9cb4-ef559cb72ae4 · outbound

This paper cites OpenVLA: An Open-Source Vision-Language-Action Model.

Generative Control as Optimization: Time Unconditional Flow Matching for Adaptive and Robust Robotic Control OpenVLA: An Open-Source Vision-Language-Action Model

Reference 13

Resolution: metadata mismatch; local_arxiv, observed 2026-05-15T08:39:52.222060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4fba1ac9-38d6-41b4-a261-92d54eb359cd · outbound

This paper cites Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success.

Generative Control as Optimization: Time Unconditional Flow Matching for Adaptive and Robust Robotic Control Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success

Reference 14

Resolution: metadata mismatch; local_arxiv, observed 2026-05-15T08:39:52.241998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0854ed11-934f-4262-ac46-2f3d7764d5e8 · outbound

This paper cites Gr-rl: Going dexterous and precise for long-horizon robotic manipulation.

Generative Control as Optimization: Time Unconditional Flow Matching for Adaptive and Robust Robotic Control Gr-rl: Going dexterous and precise for long-horizon robotic manipulation

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-15T08:39:52.209517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d3e54b47-b456-4ef5-9fa4-5e704963ba2b · outbound

This paper cites Code as Policies: Language Model Programs for Embodied Control.

Generative Control as Optimization: Time Unconditional Flow Matching for Adaptive and Robust Robotic Control Code as Policies: Language Model Programs for Embodied Control

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-05-15T08:39:52.225208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c6d800b3-f08a-4e1b-9686-5583f7ca04e5 · outbound

This paper cites Flow Matching for Generative Modeling.

Generative Control as Optimization: Time Unconditional Flow Matching for Adaptive and Robust Robotic Control Flow Matching for Generative Modeling

Reference 17

Resolution: metadata mismatch; local_arxiv, observed 2026-05-15T08:39:52.192233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8c33c44f-aad1-4b6e-aad4-d07e59b348f5 · outbound

This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

Generative Control as Optimization: Time Unconditional Flow Matching for Adaptive and Robust Robotic Control Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 18

Resolution: metadata mismatch; local_arxiv, observed 2026-05-15T08:39:52.249420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4e6ae399-def1-45c7-a0b6-f6d273d31207 · outbound

This paper cites Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models.

Generative Control as Optimization: Time Unconditional Flow Matching for Adaptive and Robust Robotic Control Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-05-15T08:39:52.244379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4d9ed566-02e5-4c5d-b017-fe63c96c2aa1 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Generative Control as Optimization: Time Unconditional Flow Matching for Adaptive and Robust Robotic Control DINOv2: Learning Robust Visual Features without Supervision

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-05-15T08:39:52.251750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f4d48a6c-510e-4923-9cfa-1be29594313c · outbound

This paper cites FAST: Efficient Action Tokenization for Vision-Language-Action Models.

Generative Control as Optimization: Time Unconditional Flow Matching for Adaptive and Robust Robotic Control FAST: Efficient Action Tokenization for Vision-Language-Action Models

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-05-15T08:39:52.213026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a2429ee0-9b2e-4475-b0de-5ac85d2553db · outbound

This paper cites Videovla: Video generators can be generalizable robot manipulators.arXiv preprint arXiv:2512.06963.

Generative Control as Optimization: Time Unconditional Flow Matching for Adaptive and Robust Robotic Control Videovla: Video generators can be generalizable robot manipulators.arXiv preprint arXiv:2512.06963

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-15T08:39:52.206752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 910675a9-6608-416c-9408-9ade06a80288 · outbound

This paper cites SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics.

Generative Control as Optimization: Time Unconditional Flow Matching for Adaptive and Robust Robotic Control SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-05-15T08:39:52.233466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 812ccc2f-0be4-4362-8cf6-32b46e2e067f · outbound

This paper cites Denoising Diffusion Implicit Models.

Generative Control as Optimization: Time Unconditional Flow Matching for Adaptive and Robust Robotic Control Denoising Diffusion Implicit Models

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-05-15T08:39:52.194743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 55c30881-5612-4fc0-bc7f-e6f3fbc3dd78 · outbound

This paper cites Is noise condition- ing necessary for denoising generative models?arXiv preprint arXiv:2502.13129.

Generative Control as Optimization: Time Unconditional Flow Matching for Adaptive and Robust Robotic Control Is noise condition- ing necessary for denoising generative models?arXiv preprint arXiv:2502.13129

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-15T08:39:52.216430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 34a5ca20-aa0a-45c6-a0e0-6eff7b7aeac0 · outbound

This paper cites DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models.

Generative Control as Optimization: Time Unconditional Flow Matching for Adaptive and Robust Robotic Control DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-05-15T08:39:52.219410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b8a2cf3c-375b-4bf2-ad5d-10c3a51b2799 · outbound

This paper cites Equilibrium matching: Generative modeling with implicit energy-based models.

Generative Control as Optimization: Time Unconditional Flow Matching for Adaptive and Robust Robotic Control Equilibrium matching: Generative modeling with implicit energy-based models

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-15T08:39:52.230792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1b78b9f2-52b7-4f9b-81f4-541eb2d1fe70 · outbound

This paper cites Video models are zero-shot learners and reasoners.

Generative Control as Optimization: Time Unconditional Flow Matching for Adaptive and Robust Robotic Control Video models are zero-shot learners and reasoners

Reference 28

Resolution: metadata mismatch; local_arxiv, observed 2026-05-15T08:39:52.189510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1a88c26c-4f8a-4030-9d98-ce58fcfbd075 · outbound

This paper cites CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer.

Generative Control as Optimization: Time Unconditional Flow Matching for Adaptive and Robust Robotic Control CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-05-15T08:39:52.246862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation dbead234-c5ae-4c93-9dee-1ab20c81ee7f · outbound

This paper cites 3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations.

Generative Control as Optimization: Time Unconditional Flow Matching for Adaptive and Robust Robotic Control 3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-05-15T08:39:52.198495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ec8ac674-4a69-4ced-9820-6e76c3acef6b · outbound

This paper cites Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware.

Generative Control as Optimization: Time Unconditional Flow Matching for Adaptive and Robust Robotic Control Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware

Reference 31

Resolution: metadata mismatch; local_arxiv, observed 2026-05-15T08:39:52.238463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8fffe11a-bd21-4f0f-887b-ab390d51f24e · outbound

This paper cites Diffusion Model Predictive Control.

Generative Control as Optimization: Time Unconditional Flow Matching for Adaptive and Robust Robotic Control Diffusion Model Predictive Control

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-15T08:39:52.203682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 62e12577-b96f-4fc8-9d41-c97e8fce45bc · outbound

This paper cites We use the same network backbone as a Continuous Rectified Flow policy (Liu et al., 2022), but differ in the learning objective and the test-time inference algorithm.

Generative Control as Optimization: Time Unconditional Flow Matching for Adaptive and Robust Robotic Control We use the same network backbone as a Continuous Rectified Flow policy (Liu et al., 2022), but differ in the learning objective and the test-time inference algorithm

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T08:39:52.412583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b6670db9-9707-4e0a-ae51-1a008532c1c3 · outbound

This paper cites The T5 hidden dimension is set by the pretrained configuration: t5 hidden dim←T5Config.from pretrained(t5 model).d model.

Generative Control as Optimization: Time Unconditional Flow Matching for Adaptive and Robust Robotic Control The T5 hidden dimension is set by the pretrained configuration: t5 hidden dim←T5Config.from pretrained(t5 model).d model

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T08:39:52.415215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 18585f41-cdf2-4504-9f02-983b0c7d2dd8 · outbound

This paper cites ForNut Assembly, GeCO uses an average of 3.50 NFEs and 166.7 ms total inference time per decision.

Generative Control as Optimization: Time Unconditional Flow Matching for Adaptive and Robust Robotic Control ForNut Assembly, GeCO uses an average of 3.50 NFEs and 166.7 ms total inference time per decision

Reference 35

Resolution: malformed identifier; raw_fallback, observed 2026-05-15T08:39:52.410224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Pith citing papers

No inbound Pith citation observations are available.