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Paper Citation Record · LEDGER

Adaptive Wiping: Adaptive contact-rich manipulation through few-shot imitation learning with Force-Torque feedback and pre-trained object representations

As of 22 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2505.06451.

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

pith.paper-citation-record.v1
2505.06451 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:47:32.145774Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

26 of 26 outbound references displayed

  • verified exact0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ddebec28-1c6f-4894-9320-4f9d1d0be34a · outbound

This paper cites Imitation learning: A survey of learning meth- ods,.

Adaptive Wiping: Adaptive contact-rich manipulation through few-shot imitation learning with Force-Torque feedback and pre-trained object representations Imitation learning: A survey of learning meth- ods,

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 8c3c30d4-b10e-43c2-a381-144ceb315988 · outbound

This paper cites One-shot imitation learning,.

Adaptive Wiping: Adaptive contact-rich manipulation through few-shot imitation learning with Force-Torque feedback and pre-trained object representations One-shot imitation learning,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:47:32.746553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 61586e3e-f000-4f84-9e70-bcb3683f9749 · outbound

This paper cites Trends and challenges in robot manipulation,.

Adaptive Wiping: Adaptive contact-rich manipulation through few-shot imitation learning with Force-Torque feedback and pre-trained object representations Trends and challenges in robot manipulation,

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 84cca95d-3603-49db-ab9d-3dd9bb574b39 · outbound

This paper cites Variable impedance control in end-effector space: An action space for reinforcement learning in contact-rich tasks,.

Adaptive Wiping: Adaptive contact-rich manipulation through few-shot imitation learning with Force-Torque feedback and pre-trained object representations Variable impedance control in end-effector space: An action space for reinforcement learning in contact-rich tasks,

Reference 4

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:47:31.977579Z digest=sha256:7de1ed23548cec1df66107b66413f08a4b50dd5589919a7c30ee7d7e9b7562ad

Observation 5fb26878-96c2-4936-b23e-b8318927545d · outbound

This paper cites Learning contact-rich assembly skills using residual admittance policy,.

Adaptive Wiping: Adaptive contact-rich manipulation through few-shot imitation learning with Force-Torque feedback and pre-trained object representations Learning contact-rich assembly skills using residual admittance policy,

Reference 5

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:47:31.983171Z digest=sha256:6bcf417208d3e8af189d4cd848c9dccb40cc1cf8bd1c30340793b8523788f5c8

Observation 80c2f397-a227-4692-a484-c06f3af07182 · outbound

This paper cites Learning optimal controllers in human-robot cooperative transportation tasks with position and force constraints,.

Adaptive Wiping: Adaptive contact-rich manipulation through few-shot imitation learning with Force-Torque feedback and pre-trained object representations Learning optimal controllers in human-robot cooperative transportation tasks with position and force constraints,

Reference 6

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:47:31.988584Z digest=sha256:1a1c0c75e75d9085f6ddd188bea185fc374bb65c6420ad86a3d6b4afb9353e17

Observation 218e8f59-e25e-461e-a56d-924619554ec2 · outbound

This paper cites Soft and rigid object grasping with cross-structure hand using bilateral control-based imitation learning,.

Adaptive Wiping: Adaptive contact-rich manipulation through few-shot imitation learning with Force-Torque feedback and pre-trained object representations Soft and rigid object grasping with cross-structure hand using bilateral control-based imitation learning,

Reference 7

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 4023aeff-e64d-43ed-b415-8fa5ad789924 · outbound

This paper cites Self-supervised correspondence in visuomotor policy learning,.

Adaptive Wiping: Adaptive contact-rich manipulation through few-shot imitation learning with Force-Torque feedback and pre-trained object representations Self-supervised correspondence in visuomotor policy learning,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:47:32.641955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:47:31.999622Z digest=sha256:12fd336abdb52621ebfda508f6f53059b25c1206f82521d165afad878675aef5

Observation 23739a76-174e-4063-bca6-f22b6b936904 · outbound

This paper cites The Surprising Effectiveness of Representation Learning for Visual Imitation.

Adaptive Wiping: Adaptive contact-rich manipulation through few-shot imitation learning with Force-Torque feedback and pre-trained object representations The Surprising Effectiveness of Representation Learning for Visual Imitation

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f5793675-bcdc-4da9-8879-044b02674a41 · outbound

This paper cites Dexterity from Touch: Self-Supervised Pre-Training of Tactile Representations with Robotic Play.

Adaptive Wiping: Adaptive contact-rich manipulation through few-shot imitation learning with Force-Torque feedback and pre-trained object representations Dexterity from Touch: Self-Supervised Pre-Training of Tactile Representations with Robotic Play

Reference 10

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unresolved
no resolver link, observed 2026-08-15T22:47:32.010326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2925f6d0-3976-4149-b050-6f68b3edeefa · outbound

This paper cites Learning dynamic tactile sensing with robust vision-based training,.

Adaptive Wiping: Adaptive contact-rich manipulation through few-shot imitation learning with Force-Torque feedback and pre-trained object representations Learning dynamic tactile sensing with robust vision-based training,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:47:32.621013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation b41b9be5-7eae-454b-8412-d83cba5bd70d · outbound

This paper cites Domain randomization for sim2real transfer,.

Adaptive Wiping: Adaptive contact-rich manipulation through few-shot imitation learning with Force-Torque feedback and pre-trained object representations Domain randomization for sim2real transfer,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:47:32.598038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:47:32.024007Z digest=sha256:e651a056b0bde78b8a38ca36f72b972cc82a4364663812ff6a786250dea10a1d

Observation 393a8029-090a-49c6-9f16-714d5987f4cf · outbound

This paper cites Domain randomization for transferring deep neural networks from simulation to the real world,.

Adaptive Wiping: Adaptive contact-rich manipulation through few-shot imitation learning with Force-Torque feedback and pre-trained object representations Domain randomization for transferring deep neural networks from simulation to the real world,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:47:32.571133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:47:32.031060Z digest=sha256:52402669740e2c944a3aa65cf631eb7cb3b8e53633aae758a5e5abb1bb36837c

Observation 05094499-45c4-43ef-99be-425dc02531e3 · outbound

This paper cites Sim-to-real transfer of robotic control with dynamics randomization,.

Adaptive Wiping: Adaptive contact-rich manipulation through few-shot imitation learning with Force-Torque feedback and pre-trained object representations Sim-to-real transfer of robotic control with dynamics randomization,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:47:32.545871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:47:32.040950Z digest=sha256:e9d8b1ccd1704de517f9ea1e1572f3252f3fd27783076bb9f67beb094b3e8d13

Observation 26cf08a4-2c45-4878-8b68-7ec1bc5a5f0a · outbound

This paper cites Learning to manipulate deformable objects without demonstrations,.

Adaptive Wiping: Adaptive contact-rich manipulation through few-shot imitation learning with Force-Torque feedback and pre-trained object representations Learning to manipulate deformable objects without demonstrations,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:47:32.519104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:47:32.047240Z digest=sha256:4564fb74edf97ebaa6507b90032fb710295d12e0814b88348803efcfe7cf04f4

Observation 4c650194-8d38-49eb-a553-bb716ba755fe · outbound

This paper cites Few-shot learning of force-based motions from demonstration through pre-training of haptic representation,.

Adaptive Wiping: Adaptive contact-rich manipulation through few-shot imitation learning with Force-Torque feedback and pre-trained object representations Few-shot learning of force-based motions from demonstration through pre-training of haptic representation,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:47:32.490039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:47:32.056182Z digest=sha256:3feec22f85f824ed46aaba81cf2c19bd87104dd90709b84fcfd27fa83e8424d1

Observation 06196e2f-a9e4-4bbd-b7d8-a927ca51de6d · outbound

This paper cites Impedance control: An approach to manipulation: Part ii—implementation,.

Adaptive Wiping: Adaptive contact-rich manipulation through few-shot imitation learning with Force-Torque feedback and pre-trained object representations Impedance control: An approach to manipulation: Part ii—implementation,

Reference 17

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 12632c45-1074-49ac-94ea-888ba4c8b8f9 · outbound

This paper cites Adaptive admittance control: An approach to explicit force control in compliant motion,.

Adaptive Wiping: Adaptive contact-rich manipulation through few-shot imitation learning with Force-Torque feedback and pre-trained object representations Adaptive admittance control: An approach to explicit force control in compliant motion,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:47:32.447719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Reference 19

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no resolver link, observed 2026-08-15T22:47:32.076585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:47:32.076585Z digest=sha256:54aa6e3bb6127d47e44ad95dfad630b4a603a81c49ed763b6e571b7b1c25fcaf

Observation 3fdd36f5-8579-44cf-9ce4-e1a005f1cdcf · outbound

This paper cites An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling.

Adaptive Wiping: Adaptive contact-rich manipulation through few-shot imitation learning with Force-Torque feedback and pre-trained object representations An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

Reference 20

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unresolved
no resolver link, observed 2026-08-15T22:47:32.082553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:47:32.082553Z digest=sha256:1cf8c2c04aa23b9f6187a574bc5a7990ac1275b8c5bb2b256057178577378ffa

Observation a4df4743-8ab0-4559-9a19-e474a2e2908a · outbound

This paper cites Learning quadrupedal locomotion over challenging terrain,.

Adaptive Wiping: Adaptive contact-rich manipulation through few-shot imitation learning with Force-Torque feedback and pre-trained object representations Learning quadrupedal locomotion over challenging terrain,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:47:32.420307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:47:32.089476Z digest=sha256:90a97856bce5bef81767aec739bb884166b1ca85c3311f8062caabb13263ec0d

Observation 0197b607-228f-40be-b302-b338dfecb802 · outbound

This paper cites Empirical evaluation of gated recurrent neural networks on sequence modeling,.

Adaptive Wiping: Adaptive contact-rich manipulation through few-shot imitation learning with Force-Torque feedback and pre-trained object representations Empirical evaluation of gated recurrent neural networks on sequence modeling,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:47:32.397722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:47:32.096471Z digest=sha256:a776501a3804c05d63f28bd91325d8edab61b6dd0ec85e0ca3844304472a5be6

Observation 0b659aa0-8d0b-41cf-8b50-f2ad45f0278d · outbound

This paper cites robosuite: A Modular Simulation Framework and Benchmark for Robot Learning.

Adaptive Wiping: Adaptive contact-rich manipulation through few-shot imitation learning with Force-Torque feedback and pre-trained object representations robosuite: A Modular Simulation Framework and Benchmark for Robot Learning

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-15T22:47:32.109789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:47:32.109789Z digest=sha256:eed867ee8ca32111aee2a94465e29ec634f2428c603ef81e3a50a728ab9f85c4

Observation 94ceabf0-eab9-49fe-9b71-999f51b6d5bd · outbound

This paper cites Ros: an open-source robot operating system,.

Adaptive Wiping: Adaptive contact-rich manipulation through few-shot imitation learning with Force-Torque feedback and pre-trained object representations Ros: an open-source robot operating system,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:47:32.377872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:47:32.127601Z digest=sha256:43ba86d5fc437d4605931dfa7300dda2a9f0daf3d2d2489ad68791ef8c98a39c

Observation f58a588d-1448-4bd3-9962-24b96352895b · outbound

This paper cites A tutorial survey and comparison of impedance control on robotic manipulation,.

Adaptive Wiping: Adaptive contact-rich manipulation through few-shot imitation learning with Force-Torque feedback and pre-trained object representations A tutorial survey and comparison of impedance control on robotic manipulation,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:47:32.351305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:47:32.135088Z digest=sha256:185844f2fdd672de2b889fde82b0b21ce1efbcb6d55f010f587aba7a9b31ab9e

Observation cf8f0d21-3583-4e22-92b6-b666e48a32ad · outbound

This paper cites PaLM-E: An Embodied Multimodal Language Model.

Adaptive Wiping: Adaptive contact-rich manipulation through few-shot imitation learning with Force-Torque feedback and pre-trained object representations PaLM-E: An Embodied Multimodal Language Model

Reference 26

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.