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 2026-08-19T06:32:44.657259+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

Resolution: unresolved; no resolver link, observed 2026-08-15T15:51:34.933714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:51:35.881142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:51:35.857915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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

Resolution: unresolved; no resolver link, observed 2026-08-15T15:51:34.954045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-15T15:51:34.961029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:51:35.785043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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

Resolution: unresolved; no resolver link, observed 2026-08-15T15:51:34.975694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-15T15:51:34.979854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:51:35.743233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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

Resolution: unresolved; no resolver link, observed 2026-08-15T15:51:34.990419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-15T15:51:34.996252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-15T15:51:35.015436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-15T15:51:35.020486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-15T15:51:35.025116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-15T15:51:35.029860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-15T15:51:35.036475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-15T15:51:35.040748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-15T15:51:35.044906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; raw_fallback, observed 2026-08-15T15:51:35.711540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:51:35.689498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:51:35.672759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:51:35.641184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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

Resolution: unresolved; no resolver link, observed 2026-08-15T15:51:35.069956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:51:35.610071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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

Resolution: verified fuzzy; 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 2026-08-19T06:32:44.657259+00:00.

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

Resolution: 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 2026-08-19T06:32:44.657259+00:00.

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

Resolution: unresolved; no resolver link, observed 2026-08-15T15:51:35.088310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-19T06:32:44.657259+00:00.

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

Resolution: unresolved; no resolver link, observed 2026-08-15T15:51:35.100988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: verified fuzzy; 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 2026-08-19T06:32:44.657259+00:00.

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

Resolution: verified fuzzy; 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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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.

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 2026-08-19T06:32:44.657259+00:00.

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

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

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.

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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.

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 2026-08-19T06:32:44.657259+00:00.