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Paper Citation Record · LEDGER

Learning Diffusion Policies from Demonstrations For Compliant Contact-rich Manipulation

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2410.19235.

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

pith.paper-citation-record.v1
2410.19235 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:30:19.442363Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T19:56:11.195869Z

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 16d1f5a3-fe3a-419f-92cc-62482697062a · inbound

FoAR: Force-Aware Reactive Policy for Contact-Rich Robotic Manipulation cites this paper.

FoAR: Force-Aware Reactive Policy for Contact-Rich Robotic Manipulation Learning Diffusion Policies from Demonstrations For Compliant Contact-rich Manipulation

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-12T14:01:00.152172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:01:00.152172Z digest=sha256:d5f2cbdc86ee446bebb9eb460fc38d2ce1fb8c098126222904633b8553739c00

Observation 765d34c0-370b-468b-bbeb-d53389b153cd · inbound

Fast Flow-based Visuomotor Policies via Conditional Optimal Transport Couplings cites this paper.

Fast Flow-based Visuomotor Policies via Conditional Optimal Transport Couplings Learning Diffusion Policies from Demonstrations For Compliant Contact-rich Manipulation

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-16T04:30:19.442363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:30:19.442363Z digest=sha256:74d3d67cdde3d0a6f76524eac06555746f203a82bbf3798b3720b750a284be51

Observation 3b12957c-5dd9-464a-9617-c4d0c76b3755 · 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 Learning Diffusion Policies from Demonstrations For Compliant Contact-rich Manipulation

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-04T21:29:09.919632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:29:09.919632Z digest=sha256:3e5dcc6d21ae4cde21089e79058830413668aedefc34622a9dcb4933efcd35a3

Observation 5b8f164b-683e-40eb-b6f3-3b2fb6dccdb8 · 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 Learning Diffusion Policies from Demonstrations For Compliant Contact-rich Manipulation

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-18T11:11:17.939987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T11:07:57.386640Z digest=sha256:c228a672cd2240b06bd68538839088cd8d182fc25e5758a5bba6510051476c76

Observation 2cccfd5a-3edb-4110-9deb-13393bf3abec · inbound

Force Policy: Learning Hybrid Force-Position Control Policy under Interaction Frame for Contact-Rich Manipulation cites this paper.

Force Policy: Learning Hybrid Force-Position Control Policy under Interaction Frame for Contact-Rich Manipulation Learning Diffusion Policies from Demonstrations For Compliant Contact-rich Manipulation

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-15T19:36:32.735651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-15T19:35:21.153175Z digest=sha256:074f979043576551241aecd32debbaa42e1bd129ea4e62264d3e030ffd785e91

Observation 6c17415c-2cc7-46ba-bfb3-b86e02b7cc4b · 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 Learning Diffusion Policies from Demonstrations For Compliant Contact-rich Manipulation

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-07-01T19:56:11.197725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-28T21:53:36.465761Z digest=sha256:a79986ee48678898e2efa9d8662df35f5a5d1793599ba26b9084ab769a452fb7