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Paper Citation Record · LEDGER

FILIC: Dual-Loop Force-Guided Imitation Learning with Impedance Torque Control for Contact-Rich Manipulation Tasks

As of 19 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 5 inbound Pith citation observations for arXiv:2509.17053.

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

pith.paper-citation-record.v1
2509.17053 v2

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:51:35.128505Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T19:00:02.199938Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-03T11:18:03.589545Z

Reference resolution

36 of 36 outbound references displayed

  • verified exact0
  • verified fuzzy17
  • unresolved18
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e478f8e2-f976-4235-ad07-14fe010165fa · outbound

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

FILIC: Dual-Loop Force-Guided Imitation Learning with Impedance Torque Control for Contact-Rich Manipulation Tasks TA-VLA: Elucidating the Design Space of Torque-aware Vision-Language-Action Models

Reference 1

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source=pdf_text observed=2026-08-15T15:51:34.933714Z digest=sha256:2785fd20e181eabdc902e13a1983db7205dd10a47d02550f8c11d574fc9268d4

Observation 3035e761-1cb4-41fc-ba6f-62658a34da11 · outbound

This paper cites Research on hy- brid force/position control method for robot peg-in-hole assem- bly,.

FILIC: Dual-Loop Force-Guided Imitation Learning with Impedance Torque Control for Contact-Rich Manipulation Tasks Research on hy- brid force/position control method for robot peg-in-hole assem- bly,

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:51:34.938514Z digest=sha256:cddf828db53fb175b9cb9ab542627179c060835b6550deb38c75ba7ef8328d3b

Observation 280860be-a769-4255-977e-008c04fe0791 · outbound

This paper cites Dexterous in-hand manipulation of slender cylindrical objects through deep reinforcement learning with tactile sensing,.

FILIC: Dual-Loop Force-Guided Imitation Learning with Impedance Torque Control for Contact-Rich Manipulation Tasks Dexterous in-hand manipulation of slender cylindrical objects through deep reinforcement learning with tactile sensing,

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:51:34.943391Z digest=sha256:1cc63f9f865a2af1fdfd0d6c241a84b672bf6718de66b7f2dc93681ec9cc227c

Observation 8f6ee7cf-97d1-4806-b412-4e3cb153ff80 · outbound

This paper cites Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware.

FILIC: Dual-Loop Force-Guided Imitation Learning with Impedance Torque Control for Contact-Rich Manipulation Tasks Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware

Reference 5

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source=pdf_text observed=2026-08-15T15:51:34.954045Z digest=sha256:2619af912225224963f6c4a329a5b16bf83344b069d3c14c7494ca3d0506752e

Observation ff9c8419-dcce-42f6-9da8-e4bf37581381 · outbound

This paper cites Diffusion policy: Visuomotor policy learning via action diffusion,.

FILIC: Dual-Loop Force-Guided Imitation Learning with Impedance Torque Control for Contact-Rich Manipulation Tasks Diffusion policy: Visuomotor policy learning via action diffusion,

Reference 6

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source=pdf_text observed=2026-08-15T15:51:34.961029Z digest=sha256:a048052097d37d2b744c36ec6901b6891ffc691404b860c4cca29cba6ef336f6

Observation 116c1e8d-03ef-4962-9396-0bf023ba56d0 · outbound

This paper cites A flexible concept for designing multiaxis force/torque sensors using force closure theorem,.

FILIC: Dual-Loop Force-Guided Imitation Learning with Impedance Torque Control for Contact-Rich Manipulation Tasks A flexible concept for designing multiaxis force/torque sensors using force closure theorem,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:51:34.967155Z digest=sha256:035efb0365051ac611350cb4c1c038caa6010adaba76ba718788e7ead1550516

Observation a48c7afb-4e30-4bb4-8fa4-34ca5fa40856 · outbound

This paper cites Robotic compliant object prying using diffusion policy guided by vision and force observations,.

FILIC: Dual-Loop Force-Guided Imitation Learning with Impedance Torque Control for Contact-Rich Manipulation Tasks Robotic compliant object prying using diffusion policy guided by vision and force observations,

Reference 8

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source=pdf_text observed=2026-08-15T15:51:34.975694Z digest=sha256:5843f964c166d29aefe0f064f2746451695c34f29fdb14f6611f6f2225fe2d12

Observation c5b9bdf0-c5cf-4a01-aedf-53ad6aa7aa58 · outbound

This paper cites Learning force control for contact-rich manipulation tasks with rigid position-controlled robots,.

FILIC: Dual-Loop Force-Guided Imitation Learning with Impedance Torque Control for Contact-Rich Manipulation Tasks Learning force control for contact-rich manipulation tasks with rigid position-controlled robots,

Reference 9

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:51:34.979854Z digest=sha256:fcd72e0eafd0925b584d3dd64a9287d43e2a7d2014f23fc336445bfbabd9e348

Observation 205f0b30-490b-4d0e-9111-2390b2fea9ac · outbound

This paper cites Helping robots learn: a human-robot master-apprentice model using demonstrations via virtual reality teleoperation,.

FILIC: Dual-Loop Force-Guided Imitation Learning with Impedance Torque Control for Contact-Rich Manipulation Tasks Helping robots learn: a human-robot master-apprentice model using demonstrations via virtual reality teleoperation,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:51:34.985253Z digest=sha256:bf86c950ba0fb3a737bd5d72db0998f08fc77d8f4357ce53793dfb1145c0b28d

Observation 77d9ded3-3a32-4203-9709-155f212cfb53 · outbound

This paper cites 3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations.

FILIC: Dual-Loop Force-Guided Imitation Learning with Impedance Torque Control for Contact-Rich Manipulation Tasks 3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations

Reference 11

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source=pdf_text observed=2026-08-15T15:51:34.990419Z digest=sha256:d4e53cd940d7ecfd1e6f5b928142adc24d4e85a6f2acd0cb70a1fa1b9267dce2

Observation 0377d791-920a-4892-b18b-f31165151827 · outbound

This paper cites OpenVLA: An Open-Source Vision-Language-Action Model.

FILIC: Dual-Loop Force-Guided Imitation Learning with Impedance Torque Control for Contact-Rich Manipulation Tasks OpenVLA: An Open-Source Vision-Language-Action Model

Reference 12

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source=pdf_text observed=2026-08-15T15:51:34.996252Z digest=sha256:3a541abd9d9a7060e274d38f639eef98519fe6cc57503cb359949c1f35379ebb

Observation 8be3cb7a-d045-4185-8e7c-2cafc1b93971 · outbound

This paper cites $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization.

FILIC: Dual-Loop Force-Guided Imitation Learning with Impedance Torque Control for Contact-Rich Manipulation Tasks $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization

Reference 14

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source=pdf_text observed=2026-08-15T15:51:35.015436Z digest=sha256:4cffba804244fd6e178b07e23059a19993f07ba33d60b79b3c45abb7e6cdbf41

Observation ee480a5a-10ed-43c8-96d5-132a0a4e3129 · outbound

This paper cites GraspVLA: a Grasping Foundation Model Pre-trained on Billion-scale Synthetic Action Data.

FILIC: Dual-Loop Force-Guided Imitation Learning with Impedance Torque Control for Contact-Rich Manipulation Tasks GraspVLA: a Grasping Foundation Model Pre-trained on Billion-scale Synthetic Action Data

Reference 15

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source=pdf_text observed=2026-08-15T15:51:35.020486Z digest=sha256:34e24d50bc3626bd648835250a24a02a4e35cf9aa3616d56ca1e63fa12b77922

Observation c5032b0d-2002-455e-9f7f-3dbe0e80e801 · outbound

This paper cites SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics.

FILIC: Dual-Loop Force-Guided Imitation Learning with Impedance Torque Control for Contact-Rich Manipulation Tasks SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics

Reference 16

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source=pdf_text observed=2026-08-15T15:51:35.025116Z digest=sha256:2a656b71dba6d20a95a127db5ef25d52720acad86fd56734abb1a84a52dcd637

Observation 5d3bd500-722d-4840-84e0-b55c01dc68d9 · outbound

This paper cites Real-Time Execution of Action Chunking Flow Policies.

FILIC: Dual-Loop Force-Guided Imitation Learning with Impedance Torque Control for Contact-Rich Manipulation Tasks Real-Time Execution of Action Chunking Flow Policies

Reference 17

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source=pdf_text observed=2026-08-15T15:51:35.029860Z digest=sha256:79e9301fc378f7e8803e6b2e983bf4c6735badd5d6281af3ddf55deb0364bf1c

Observation 21542595-3b56-4230-aa56-adc9d95ea203 · outbound

This paper cites Knowledge Insulating Vision-Language-Action Models: Train Fast, Run Fast, Generalize Better.

FILIC: Dual-Loop Force-Guided Imitation Learning with Impedance Torque Control for Contact-Rich Manipulation Tasks Knowledge Insulating Vision-Language-Action Models: Train Fast, Run Fast, Generalize Better

Reference 18

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source=pdf_text observed=2026-08-15T15:51:35.036475Z digest=sha256:035e4aca559e67b3b4c53ef5c0bf450cc375b6e13518206b8f39a318f4e2e5c3

Observation 150157b8-653e-4fa1-8b3c-fbce2814232d · outbound

This paper cites Language Conditioned Multi-Finger Dexterous Manipulation Enabled by Physical Compliance and Switching of Controllers.

FILIC: Dual-Loop Force-Guided Imitation Learning with Impedance Torque Control for Contact-Rich Manipulation Tasks Language Conditioned Multi-Finger Dexterous Manipulation Enabled by Physical Compliance and Switching of Controllers

Reference 19

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source=pdf_text observed=2026-08-15T15:51:35.040748Z digest=sha256:4f6455295c2a529340839d80b264c458d38b4624e8c2d5bfd447b491ef9a4bdf

Observation e8746fa0-3fd2-498f-a17c-0a312abdf355 · outbound

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

FILIC: Dual-Loop Force-Guided Imitation Learning with Impedance Torque Control for Contact-Rich Manipulation Tasks Impedance control: An approach to manipulation: Part ii—implementation,

Reference 20

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source=pdf_text observed=2026-08-15T15:51:35.044906Z digest=sha256:9d42b912bc9eadb2cd344c0d6156959b8aab827e7ad75761387f00bb49fe7c03

Observation fa3f2387-9d37-47d3-aff0-9dfd03cfb943 · outbound

This paper cites an unresolved cited work.

FILIC: Dual-Loop Force-Guided Imitation Learning with Impedance Torque Control for Contact-Rich Manipulation Tasks Unresolved cited work

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:51:35.049988Z digest=sha256:72a58180182e3ab462973de5aaa9ac9a3965b91ea85996ee3fb6663aa70f8921

Observation 3d301695-1b94-4e57-a337-5ab02e1f3c79 · outbound

This paper cites Improving the grasping force behavior of a robotic gripper: model, simulations, and experiments,.

FILIC: Dual-Loop Force-Guided Imitation Learning with Impedance Torque Control for Contact-Rich Manipulation Tasks Improving the grasping force behavior of a robotic gripper: model, simulations, and experiments,

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:51:35.054386Z digest=sha256:3d28db372e9125f21eeb1802ecbaae39200e529bd9923334ab2188009ad6f17e

Observation 2195b731-cab1-441a-b1c1-e4fcc3c700d9 · outbound

This paper cites Contact force estimation method of legged-robot and its application in impedance control,.

FILIC: Dual-Loop Force-Guided Imitation Learning with Impedance Torque Control for Contact-Rich Manipulation Tasks Contact force estimation method of legged-robot and its application in impedance control,

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:51:35.058036Z digest=sha256:d25aafdb14f95eef65e0191dbe69ded443c3666223444ca34433ef436d790cb7

Observation 4f435b30-e4da-47f2-94d5-fb442c28cc4b · outbound

This paper cites Next generation legged robot locomotion: A review on control techniques,.

FILIC: Dual-Loop Force-Guided Imitation Learning with Impedance Torque Control for Contact-Rich Manipulation Tasks Next generation legged robot locomotion: A review on control techniques,

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:51:35.063609Z digest=sha256:4d5902f60d71026dcda4bf1d6372c16d213bdab1cfa805440c806538c7e4e396

Observation 101c0bfa-b81e-4495-abc6-653ebbe1e5a8 · outbound

This paper cites Rapid locomotion via reinforcement learning,.

FILIC: Dual-Loop Force-Guided Imitation Learning with Impedance Torque Control for Contact-Rich Manipulation Tasks Rapid locomotion via reinforcement learning,

Reference 25

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source=pdf_text observed=2026-08-15T15:51:35.069956Z digest=sha256:8f2e3c3aa1eeb15a83fa2d1813a6295db331b8cb028d81266656b5ddf6b000b6

Observation f4a9678e-2ba4-46a7-914a-093f385753b0 · outbound

This paper cites Review of deep reinforcement learning for robot manipulation,.

FILIC: Dual-Loop Force-Guided Imitation Learning with Impedance Torque Control for Contact-Rich Manipulation Tasks Review of deep reinforcement learning for robot manipulation,

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:51:35.075056Z digest=sha256:41f6a95b49d2bd3c2cb8526aeea2f674c8105a2b84ef75d7a24b48081ecce378

Observation 342789eb-bc4a-4867-86db-a25e96fffd51 · outbound

This paper cites Visuotactile-rl: Learning multimodal manipulation policies with deep reinforcement learning,.

FILIC: Dual-Loop Force-Guided Imitation Learning with Impedance Torque Control for Contact-Rich Manipulation Tasks Visuotactile-rl: Learning multimodal manipulation policies with deep reinforcement learning,

Reference 27

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raw_fallback, observed 2026-08-15T15:51:35.585587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:51:35.079483Z digest=sha256:3a98985c720ac5eb3cb8ea27ea5d92b0e8d707fca5d0e4dadb102017e8dac6f5

Observation e89737d4-60b1-4e28-aab5-9b7aa99dddb2 · outbound

This paper cites Human-like dexterous grasping through reinforcement learning and multimodal perception,.

FILIC: Dual-Loop Force-Guided Imitation Learning with Impedance Torque Control for Contact-Rich Manipulation Tasks Human-like dexterous grasping through reinforcement learning and multimodal perception,

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-15T15:51:35.565636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:51:35.083273Z digest=sha256:1d2550302a06859d92d05a5f76ffd30bac6b2f8f239a3edd5b5f4478fad27aee

Observation ad28e0e1-8766-42f2-933f-e79a29a695ec · outbound

This paper cites Natural Language Can Help Bridge the Sim2Real Gap.

FILIC: Dual-Loop Force-Guided Imitation Learning with Impedance Torque Control for Contact-Rich Manipulation Tasks Natural Language Can Help Bridge the Sim2Real Gap

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:51:35.088310Z digest=sha256:15966ab17dc49d8f6225b7883ce17e057a02656e2e29587c5531e5a60cba5fd7

Observation f303db84-10b0-431d-9119-75020f77e6e5 · outbound

This paper cites Tacdiffusion: Force-domain diffusion policy for precise tactile manipulation,.

FILIC: Dual-Loop Force-Guided Imitation Learning with Impedance Torque Control for Contact-Rich Manipulation Tasks Tacdiffusion: Force-domain diffusion policy for precise tactile manipulation,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:51:35.539958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:51:35.095414Z digest=sha256:092781fbc53eb43e483834d72b32f21b90c0fad4c3a63e2d66cccc06cc0e24c2

Observation 8a439653-dd96-4317-b4bb-44f966c3c0e7 · outbound

This paper cites Admittance visuomotor policy learning for general-purpose contact-rich manipu- lations,.

FILIC: Dual-Loop Force-Guided Imitation Learning with Impedance Torque Control for Contact-Rich Manipulation Tasks Admittance visuomotor policy learning for general-purpose contact-rich manipu- lations,

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:51:35.100988Z digest=sha256:72c5cfbb25f4456b0203c7faa9651c71d661412aa534d9642dd1e1bea9567a12

Observation 8b69401c-22f9-4e97-ba11-446cd8adb54b · outbound

This paper cites Variable impedance control on contact-rich manipulation of a collaborative industrial mobile ma- nipulator: An imitation learning approach,.

FILIC: Dual-Loop Force-Guided Imitation Learning with Impedance Torque Control for Contact-Rich Manipulation Tasks Variable impedance control on contact-rich manipulation of a collaborative industrial mobile ma- nipulator: An imitation learning approach,

Reference 32

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raw_fallback, observed 2026-08-15T15:51:35.491628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:51:35.105329Z digest=sha256:da74b4bdd68c9668def9feea8fbe726c9e87d53fbdd673215ce40e856e11ff79

Observation c86ac098-ec16-4219-9deb-f33ea11439e0 · outbound

This paper cites Impedance primitive- augmented hierarchical reinforcement learning for sequential tasks,.

FILIC: Dual-Loop Force-Guided Imitation Learning with Impedance Torque Control for Contact-Rich Manipulation Tasks Impedance primitive- augmented hierarchical reinforcement learning for sequential tasks,

Reference 33

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raw_fallback, observed 2026-08-15T15:51:35.462058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:51:35.109619Z digest=sha256:e147ddcee05cf70975e84089ab2bc644a8a93f068444ddf64afd3d6b86c5fa5a

Observation 14257fcd-ef56-452b-8785-beda7e7ce1bd · outbound

This paper cites A residual reinforcement learning method for robotic assembly using visual and force information,.

FILIC: Dual-Loop Force-Guided Imitation Learning with Impedance Torque Control for Contact-Rich Manipulation Tasks A residual reinforcement learning method for robotic assembly using visual and force information,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:51:35.443539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:51:35.114044Z digest=sha256:a1ab51240539e5239982f6c989aabb14be40c49a6a5ca738414741a00616a13d

Observation 683b62ab-a5ec-44a2-a5cd-8905f71ce456 · outbound

This paper cites A system for imitation learning of contact-rich bimanual manipulation policies,.

FILIC: Dual-Loop Force-Guided Imitation Learning with Impedance Torque Control for Contact-Rich Manipulation Tasks A system for imitation learning of contact-rich bimanual manipulation policies,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:51:35.831978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:51:35.119381Z digest=sha256:a02a76abaed2e31cd67b193585e3c04185012271ab84fb99b2f233f1ea36203b

Observation ce8a98a8-1a2f-40e1-a642-3d96a1366938 · outbound

This paper cites Scape: Learning stiffness control from augmented position control experiences,.

FILIC: Dual-Loop Force-Guided Imitation Learning with Impedance Torque Control for Contact-Rich Manipulation Tasks Scape: Learning stiffness control from augmented position control experiences,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:51:35.414752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:51:35.123478Z digest=sha256:d6297d2d1000e05f39480acd77bf96b07265898661c97d127eee1cc301d2dc12

Observation a5c5765b-3316-4225-b7e6-c2898fef39ba · outbound

This paper cites Reinforcement learning on variable impedance con- troller for high-precision robotic assembly,.

FILIC: Dual-Loop Force-Guided Imitation Learning with Impedance Torque Control for Contact-Rich Manipulation Tasks Reinforcement learning on variable impedance con- troller for high-precision robotic assembly,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:51:35.395942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:51:35.128505Z digest=sha256:36fdfe3063ea53e288557586f3492dc127dc082848758d90c3dd5a72c4ae4529

Observation ac3f8074-c37c-43c6-ab90-fc32e89a167c · outbound

This paper cites $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control.

FILIC: Dual-Loop Force-Guided Imitation Learning with Impedance Torque Control for Contact-Rich Manipulation Tasks $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 2024

Resolution
malformed identifier
no resolver link, observed 2026-08-15T15:51:35.009101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:51:35.009101Z digest=sha256:eecefd76590bffac0faf4e92f91d1511c43616957e4b6661c6a7da10b98f5f86

Pith citing papers

Observation fe0c548a-1965-499d-a39f-03b99ea6ff76 · inbound

Force-Aware Residual DAgger via Trajectory Editing for Precision Insertion with Impedance Control cites this paper.

Force-Aware Residual DAgger via Trajectory Editing for Precision Insertion with Impedance Control FILIC: Dual-Loop Force-Guided Imitation Learning with Impedance Torque Control for Contact-Rich Manipulation Tasks

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-06-23T02:12:33.340930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-15T17:13:35.380611Z digest=sha256:767bed7f9040f1953586997913a09964b548c62b6299f8e162fb2fef7aef926b

Observation b6180e7f-8a75-4acc-a117-fa1c18b4d046 · inbound

Force-Aware Residual DAgger via Trajectory Editing for Precision Insertion with Impedance Control cites this paper.

Force-Aware Residual DAgger via Trajectory Editing for Precision Insertion with Impedance Control FILIC: Dual-Loop Force-Guided Imitation Learning with Impedance Torque Control for Contact-Rich Manipulation Tasks

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-02T19:00:02.199938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T19:00:02.199938Z digest=sha256:4067e6856e6ffe9b645ea57c0c08b800a55e99e086916b0d00be61b44673fcb8

Observation 7d2ace46-a26b-4274-85fe-90a1f2208a57 · inbound

Multi-Agent Systems: From Classical Paradigms to Large Foundation Model-Enabled Futures cites this paper.

Multi-Agent Systems: From Classical Paradigms to Large Foundation Model-Enabled Futures FILIC: Dual-Loop Force-Guided Imitation Learning with Impedance Torque Control for Contact-Rich Manipulation Tasks

Reference 126

Resolution
verified exact
arxiv_id, observed 2026-06-23T02:12:33.340930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T04:31:28.242097Z digest=sha256:211c7c843e9ecc40c5ceac8efbf861b7606091626689c13be9a3406c91dbc8d0

Observation 66751bc7-9bad-4545-81c7-23cf05216df6 · 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 FILIC: Dual-Loop Force-Guided Imitation Learning with Impedance Torque Control for Contact-Rich Manipulation Tasks

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-06-29T07:23:13.310110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-29T07:13:46.371380Z digest=sha256:9ce4b564d3a7151e9844e07894a3b43dd240fbddc21e3652e33c051ee6a148b4

Observation 19436672-ede5-4dda-abec-8bc60f12a054 · inbound

FACTR 2: Learning External Force Sensing for Commodity Robot Arms Improves Policy Learning cites this paper.

FACTR 2: Learning External Force Sensing for Commodity Robot Arms Improves Policy Learning FILIC: Dual-Loop Force-Guided Imitation Learning with Impedance Torque Control for Contact-Rich Manipulation Tasks

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-07-03T11:18:03.591009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-27T09:37:28.317800Z digest=sha256:2c29ef5e78aca7116de8e83137a026015e8b5a85fc1bac9884c4c261f3c448a1