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Paper Citation Record · LEDGER

Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2407.01531.

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

pith.paper-citation-record.v1
2407.01531 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:06:47.717968Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T14:10:13.371091Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
  • unresolved0
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  • malformed identifier0
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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 80bfe1af-b8b6-4afc-8fc1-cc7318f14614 · inbound

First-place Solution for Streetscape Shop Sign Recognition Competition cites this paper.

First-place Solution for Streetscape Shop Sign Recognition Competition Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-10T22:06:47.717968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:06:47.717968Z digest=sha256:f578c3723b62d29f318afc95f2b30265fdac5176f5eea05b06461d5e155ea56d

Observation 6c8aa04d-b8bf-473b-a8e3-e68324198c1d · inbound

Credit Risk Identification in Supply Chains Using Generative Adversarial Networks cites this paper.

Credit Risk Identification in Supply Chains Using Generative Adversarial Networks Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-10T19:13:53.818456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:13:53.818456Z digest=sha256:78f0a6802c06f45a801f0ca80dd4d01ce8e9f9022ae00da7002a2176c20b1567

Observation f43b91b0-9347-43d1-8aa4-152f6edd7cf9 · inbound

A Novel Scene Coupling Semantic Mask Network for Remote Sensing Image Segmentation cites this paper.

A Novel Scene Coupling Semantic Mask Network for Remote Sensing Image Segmentation Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning

Reference 20

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unresolved
no resolver link, observed 2026-08-10T17:08:38.509928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:08:38.509928Z digest=sha256:bd6a1ba6ece85852fb3e94b4966490570ad5c70c11a97065461461b4c9046128

Observation 8f68737c-c3c6-4fab-b586-cd763d254278 · 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 Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-05-14T19:48:48.828350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-14T19:48:48.725800Z digest=sha256:2f3718031ea593fd4dc9045a459186d2e971d8f1e34b5f661e24ef4fc7dfae46

Observation e4be560d-a7b4-4fd9-b8b6-48c3b01cd7df · inbound

Continual Adaptation for Autonomous Driving with the Mixture of Progressive Experts Network cites this paper.

Continual Adaptation for Autonomous Driving with the Mixture of Progressive Experts Network Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-08T17:22:21.894785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T17:22:21.894785Z digest=sha256:2cec662e3ab776e1caf7848b98ef9f653e93178e8acb54313889e580dfeec4f6

Observation a1ddc19d-7136-4002-968a-9f7bb5a87959 · inbound

ChatVLA-2: Vision-Language-Action Model with Open-World Embodied Reasoning from Pretrained Knowledge cites this paper.

ChatVLA-2: Vision-Language-Action Model with Open-World Embodied Reasoning from Pretrained Knowledge Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T13:25:59.434850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:25:59.434850Z digest=sha256:55373179b4f1700c9ac504fc1c33e52fddd213cd18bd3bf58b81c8a457861511

Observation 72cf41ea-b654-4515-b75b-d3bee3b0124d · inbound

RCM-ACT: Imitation Learning with Dynamic RCM Calibration for Autonomous Intraocular Foreign Body Removal cites this paper.

RCM-ACT: Imitation Learning with Dynamic RCM Calibration for Autonomous Intraocular Foreign Body Removal Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning

Reference 30

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unresolved
no resolver link, observed 2026-08-05T15:56:45.702521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:56:45.702521Z digest=sha256:f1e05ac32d073c113d99b43eb10ceba1d133c27c10f6d17f465c9a5499712e8c

Observation db66afc0-782d-49f4-8440-6355f4637137 · inbound

Continually Evolving Skill Knowledge in Vision Language Action Model cites this paper.

Continually Evolving Skill Knowledge in Vision Language Action Model Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-17T06:04:09.241690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-17T06:02:31.638120Z digest=sha256:6c6cf7eb7e468a24639d13b4d6e01ecf65d5611d161a95ed5a48c1a5fc4a7e8d

Observation 86322f84-56d0-486f-b234-105cfb50d915 · inbound

Learning Semantic Atomic Skills for Multi-Task Robotic Manipulation cites this paper.

Learning Semantic Atomic Skills for Multi-Task Robotic Manipulation Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-03T15:05:06.047387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:05:06.047387Z digest=sha256:b9e6cacb53fca7cf8a0b37fc4ce574dce14aa999c6874b42219d1062fecca12f

Observation e882bb16-a292-480a-9d4f-b17cdcfb3318 · inbound

Towards Long-Lived Robots: Continual Learning VLA Models via Reinforcement Fine-Tuning cites this paper.

Towards Long-Lived Robots: Continual Learning VLA Models via Reinforcement Fine-Tuning Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning

Reference 69

Resolution
verified exact
arxiv_id, observed 2026-05-21T14:10:13.373092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-21T14:07:10.387869Z digest=sha256:2f78d625134f3836b68562ec172e55a0a9184ac8bea82ce40f2a59c89442e1b8

Observation 8797a224-d60d-4d3a-926e-5f13ff8e0649 · inbound

Redefining End-of-Life: Intelligent Automation for Electronics Remanufacturing Systems cites this paper.

Redefining End-of-Life: Intelligent Automation for Electronics Remanufacturing Systems Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning

Reference 123

Resolution
verified exact
arxiv_id, observed 2026-05-13T19:23:09.483752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-13T19:21:34.849729Z digest=sha256:fe03d8d2b2de6d15a21960784735373ab33dd19a5559df9d786cbaa486ce0a33

Observation 69683c12-5d3b-4df3-b2ad-58350546aa63 · inbound

Diffusion Policy with Bayesian Expert Selection for Active Multi-Target Tracking cites this paper.

Diffusion Policy with Bayesian Expert Selection for Active Multi-Target Tracking Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-13T18:28:06.412761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-13T18:27:25.541838Z digest=sha256:7d6fbac999a46b8d09bc2c2984d9f4638a96163cf86da373b34707ee32316411

Observation c72855fe-76b8-4959-b9fc-3d8f15c57258 · inbound

Escaping the Diversity Trap in Robotic Manipulation via Anchor-Centric Adaptation cites this paper.

Escaping the Diversity Trap in Robotic Manipulation via Anchor-Centric Adaptation Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning

Reference 50

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T02:25:52.861754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-11T02:25:23.710842Z digest=sha256:2d0db6318b566569dfaff93ec7e7d839e4c8b9c08110ccc740d5965d29dcc5db

Observation 64d3154c-3a76-419f-8585-685f25ac5df2 · inbound

High-Fidelity One-Step Generative Visuomotor Policy via Recursive Correction, Frequency Consistency, and Contrastive Flow Matching cites this paper.

High-Fidelity One-Step Generative Visuomotor Policy via Recursive Correction, Frequency Consistency, and Contrastive Flow Matching Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning

Reference 35

Resolution
unresolved
no resolver link, observed 2026-07-11T23:25:15.657215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T23:25:15.657215Z digest=sha256:945b8263a7528559167944baaa571ec4975ffd58d7d2e43742917b0e38746fb1

Observation 2c0ec9b8-7485-44ba-a887-810b11f5e91a · inbound

SkillMemo: Expert-guided Skill Memory Framework for Compositional Embodied Manipulation cites this paper.

SkillMemo: Expert-guided Skill Memory Framework for Compositional Embodied Manipulation Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T20:08:36.061516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:08:36.061516Z digest=sha256:27174d426cf44e0a8eb8a23f0d8b7c96e55d5f0d84af26c98b9756a7aa231bb7