Paper Citation Record · LEDGER

The Ingredients for Robotic Diffusion Transformers

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2410.10088.

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

pith.paper-citation-record.v1
2410.10088 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:15:43.506860Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T17:28:44.419837Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 5f2259e8-530b-4653-bd43-293ae5ce9657 · inbound

DexVLA: Vision-Language Model with Plug-In Diffusion Expert for General Robot Control cites this paper.

DexVLA: Vision-Language Model with Plug-In Diffusion Expert for General Robot Control The Ingredients for Robotic Diffusion Transformers

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-05-14T19:48:48.863458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation bbbbdc26-b53f-497b-a164-1b338f39e95c · inbound

Unified World Models: Coupling Video and Action Diffusion for Pretraining on Large Robotic Datasets cites this paper.

Unified World Models: Coupling Video and Action Diffusion for Pretraining on Large Robotic Datasets The Ingredients for Robotic Diffusion Transformers

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T16:25:00.442753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c93e4b73-f8fe-4216-9d4e-9d84582ae2af · inbound

Steering Your Diffusion Policy with Latent Space Reinforcement Learning cites this paper.

Steering Your Diffusion Policy with Latent Space Reinforcement Learning The Ingredients for Robotic Diffusion Transformers

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-17T21:55:46.450038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation ef579c6d-ab4d-43b3-84fd-1ee3b1709d66 · inbound

Behavioral Exploration: Learning to Explore via In-Context Adaptation cites this paper.

Behavioral Exploration: Learning to Explore via In-Context Adaptation The Ingredients for Robotic Diffusion Transformers

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-06T18:15:43.506860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8123e6b-2b52-4e9e-a3d2-44304ba05c13 · inbound

Train-Once Plan-Anywhere Kinodynamic Motion Planning via Diffusion Trees cites this paper.

Train-Once Plan-Anywhere Kinodynamic Motion Planning via Diffusion Trees The Ingredients for Robotic Diffusion Transformers

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-05T14:42:40.242489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acbb358e-8687-4a4d-adf2-e60bfd6fb463 · inbound

ManiFlow: A General Robot Manipulation Policy via Consistency Flow Training cites this paper.

ManiFlow: A General Robot Manipulation Policy via Consistency Flow Training The Ingredients for Robotic Diffusion Transformers

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-05T12:15:01.378751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9348e4f-afa2-418d-8cf8-c63b781aaed2 · inbound

FLOWER: Democratizing Generalist Robot Policies with Efficient Vision-Language-Action Flow Policies cites this paper.

FLOWER: Democratizing Generalist Robot Policies with Efficient Vision-Language-Action Flow Policies The Ingredients for Robotic Diffusion Transformers

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-05T05:48:48.076241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b282efbf-b2de-490e-b5e6-226a8fec9e41 · inbound

Boosting Embodied AI Agents through Perception-Generation Disaggregation and Asynchronous Pipeline Execution cites this paper.

Boosting Embodied AI Agents through Perception-Generation Disaggregation and Asynchronous Pipeline Execution The Ingredients for Robotic Diffusion Transformers

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T18:58:12.622654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9db57e4e-6995-4942-a7a4-efec148d0b83 · inbound

Hybrid Diffusion for Simultaneous Symbolic and Continuous Planning cites this paper.

Hybrid Diffusion for Simultaneous Symbolic and Continuous Planning The Ingredients for Robotic Diffusion Transformers

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T13:26:25.079250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation df2cc7c7-9f52-487f-90cd-13cfab484e06 · inbound

Think Proprioceptively: State-Grounded Visual Token Selection for VLA Policies cites this paper.

Think Proprioceptively: State-Grounded Visual Token Selection for VLA Policies The Ingredients for Robotic Diffusion Transformers

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T03:56:03.958826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74f17401-c26e-4be1-a586-dfd32a5173e7 · inbound

A1: A Fully Transparent Open-Source, Adaptive and Efficient Truncated Vision-Language-Action Model cites this paper.

A1: A Fully Transparent Open-Source, Adaptive and Efficient Truncated Vision-Language-Action Model The Ingredients for Robotic Diffusion Transformers

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T22:50:51.381857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation fb309cd3-bbac-41fe-aa61-2115ced6621c · inbound

Key-Gram: Extensible World Knowledge for Embodied Manipulation cites this paper.

Key-Gram: Extensible World Knowledge for Embodied Manipulation The Ingredients for Robotic Diffusion Transformers

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-20T09:13:10.149690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d98ae142-eb27-4454-82f9-6c96d3565463 · inbound

Phase-Conditioned Imitation Learning with Autonomous Failure Recovery for Robust Deformable Object Manipulation cites this paper.

Phase-Conditioned Imitation Learning with Autonomous Failure Recovery for Robust Deformable Object Manipulation The Ingredients for Robotic Diffusion Transformers

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T07:23:13.321382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d2fae532-1d61-49f7-9e2e-eb779e4d8a25 · inbound

General Covariant Action Modeling: Constructing Generalized Manifolds via Spatio-Temporal Decoupling cites this paper.

General Covariant Action Modeling: Constructing Generalized Manifolds via Spatio-Temporal Decoupling The Ingredients for Robotic Diffusion Transformers

Reference 105

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T13:33:27.803052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d5a815f9-be77-4621-93de-617dd9563d51 · inbound

Lagrangian Perturbation Diffusion Steering: Latent Reinforcement Learning for Generative Policies cites this paper.

Lagrangian Perturbation Diffusion Steering: Latent Reinforcement Learning for Generative Policies The Ingredients for Robotic Diffusion Transformers

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T17:22:24.706178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation e949eaa8-f466-4d7a-b570-e3b92e6100ef · inbound

Multi-Resolution Tactile Imitation Learning for Contact-Rich Robotic Manipulation cites this paper.

Multi-Resolution Tactile Imitation Learning for Contact-Rich Robotic Manipulation The Ingredients for Robotic Diffusion Transformers

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-07-02T13:46:59.693372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation de5b2c95-5852-4fd9-ad7b-1a9ee37f2856 · inbound

Unified Motion-Action Modeling for Heterogeneous Robot Learning cites this paper.

Unified Motion-Action Modeling for Heterogeneous Robot Learning The Ingredients for Robotic Diffusion Transformers

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-07-03T17:28:44.421282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 7a890ec2-60b0-44e5-8b94-5278e61d12cb · inbound

Differential Amplifier-Inspired AmpAttention for Multi-View Robotic Manipulation cites this paper.

Differential Amplifier-Inspired AmpAttention for Multi-View Robotic Manipulation The Ingredients for Robotic Diffusion Transformers

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-12T06:39:16.303751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 865b414c-3d25-489f-86a7-23d0f25c4128 · inbound

Why Does Action Chunking Improve Behavioral Cloning Performance in Robotic Control? cites this paper.

Why Does Action Chunking Improve Behavioral Cloning Performance in Robotic Control? The Ingredients for Robotic Diffusion Transformers

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T05:05:10.336922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.