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Paper Citation Record · LEDGER

Adaptive Compliance Policy: Learning Approximate Compliance for Diffusion Guided Control

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2410.09309.

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

pith.paper-citation-record.v1
2410.09309 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:40:38.951596Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation db7fa22e-4363-4dc4-8a52-b7b00e31c04f · inbound

An Optimization-Augmented Control Framework for Single and Coordinated Multi-Arm Robotic Manipulation cites this paper.

An Optimization-Augmented Control Framework for Single and Coordinated Multi-Arm Robotic Manipulation Adaptive Compliance Policy: Learning Approximate Compliance for Diffusion Guided Control

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T23:40:38.951596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:40:38.951596Z digest=sha256:3027551e120883618e124923b26f685b54dd13b5d2d261a593b08d78213ee11e

Observation 4d27e84e-cb74-4b08-9526-35ea65688570 · inbound

SE(3)-Equivariant Diffusion Policy in Spherical Fourier Space cites this paper.

SE(3)-Equivariant Diffusion Policy in Spherical Fourier Space Adaptive Compliance Policy: Learning Approximate Compliance for Diffusion Guided Control

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T20:53:59.371701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:53:59.371701Z digest=sha256:d325b20265170dc3ca01618b8b7e857588090b69b36dbfcd39a2a179a24f8dff

Observation 81795942-73db-42a6-9c83-3496fc33fac6 · inbound

TA-VLA: Elucidating the Design Space of Torque-aware Vision-Language-Action Models cites this paper.

TA-VLA: Elucidating the Design Space of Torque-aware Vision-Language-Action Models Adaptive Compliance Policy: Learning Approximate Compliance for Diffusion Guided Control

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-04T21:29:09.775379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:29:09.775379Z digest=sha256:d77099dcc6feb1e5b67c7eda49c8a8cb92e11572d7049c5c3c7b91d014b812f9

Observation 2a8811a1-2486-4741-af01-4274043f4379 · inbound

Flow with the Force Field: Learning 3D Compliant Flow Matching Policies from Force and Demonstration-Guided Simulation Data cites this paper.

Flow with the Force Field: Learning 3D Compliant Flow Matching Policies from Force and Demonstration-Guided Simulation Data Adaptive Compliance Policy: Learning Approximate Compliance for Diffusion Guided Control

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-18T11:11:18.021843Z

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=2026-05-18T11:07:57.386640Z digest=sha256:30c1a872fea9feb2ca36102a8eb04d88af10c8f60e7a5ba8a37c54fd176ce1c4

Observation def02fca-3be9-4620-8256-2dad03e67c3e · inbound

OmniUMI: Towards Physically Grounded Robot Learning via Human-Aligned Multimodal Interaction cites this paper.

OmniUMI: Towards Physically Grounded Robot Learning via Human-Aligned Multimodal Interaction Adaptive Compliance Policy: Learning Approximate Compliance for Diffusion Guided Control

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:21:00.351941Z

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=2026-05-10T16:05:22.891661Z digest=sha256:77b124d1d47c43c9cb0d01c7a577fe3daaa59fa70f354dc49568d8b54976a346

Observation 03b293c7-2bec-4127-a5c9-d9ea25bf30af · inbound

QDTraj: Exploration of Diverse Trajectory Primitives for Articulated Objects Robotic Manipulation cites this paper.

QDTraj: Exploration of Diverse Trajectory Primitives for Articulated Objects Robotic Manipulation Adaptive Compliance Policy: Learning Approximate Compliance for Diffusion Guided Control

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-08T21:49:16.069574Z

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=2026-05-08T11:22:38.704101Z digest=sha256:5da35be51f906a1f0799676bfdbde46b6f2119feabf6785ab4092df6ad1b2427

Observation b94d7f39-573a-4719-9111-b4cf1c62317f · inbound

Surface Constraint Policy for Learning Surface-Constrained and Dynamically Feasible Robot Skills cites this paper.

Surface Constraint Policy for Learning Surface-Constrained and Dynamically Feasible Robot Skills Adaptive Compliance Policy: Learning Approximate Compliance for Diffusion Guided Control

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-07-01T19:56:11.202658Z

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=2026-06-28T21:53:36.465761Z digest=sha256:9d8181373c9845a4d65519d6900398ef6313d83ddec5b74d0e0f724a2a6b842b

Observation d7d14adb-428f-4e5e-8f57-0bab6bcc443d · inbound

$N_0$-TWAM: Scaling Tactile-Native World-Action Model for Contact-Rich Manipulation cites this paper.

$N_0$-TWAM: Scaling Tactile-Native World-Action Model for Contact-Rich Manipulation Adaptive Compliance Policy: Learning Approximate Compliance for Diffusion Guided Control

Reference 33

Resolution
unresolved
no resolver link, observed 2026-07-30T12:42:18.448920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T12:42:18.448920Z digest=sha256:86cdf3d4483bd38e811cb24d183987920751b7bd771292230492098e305732b4