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Paper Citation Record · LEDGER

Robots of the Lost Arc: Self-Supervised Learning to Dynamically Manipulate Fixed-Endpoint Cables

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2011.04840.

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

pith.paper-citation-record.v1
2011.04840 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:22:55.655336Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T19:46:34.220352Z

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 e7e47056-bd5b-4b54-bbce-1a0a08bbb31f · inbound

Learning Dynamic Rope Manipulation Using Task-Level Iterative Learning Control cites this paper.

Learning Dynamic Rope Manipulation Using Task-Level Iterative Learning Control Robots of the Lost Arc: Self-Supervised Learning to Dynamically Manipulate Fixed-Endpoint Cables

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-15T19:46:34.224526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-15T19:42:52.717638Z digest=sha256:939db1d6b1762f70322bc8c16f2d5977183b5f8baf57f162a170c7b9b054752b

Observation 30da8e22-d7c0-4133-ba5b-0704449babae · inbound

Wiggle and Go! System Identification for Zero-Shot Dynamic Rope Manipulation cites this paper.

Wiggle and Go! System Identification for Zero-Shot Dynamic Rope Manipulation Robots of the Lost Arc: Self-Supervised Learning to Dynamically Manipulate Fixed-Endpoint Cables

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-11T14:51:07.785456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-09T20:57:18.489837Z digest=sha256:8cb63231ce632b2bce4322441abc81f541c4ef147a991eac21501d7a06e03421

Observation 6125d80a-6aeb-44fa-adbb-326e9bad8642 · inbound

SpeedTuning: Speeding Up Policy Execution with Lightweight Reinforcement Learning cites this paper.

SpeedTuning: Speeding Up Policy Execution with Lightweight Reinforcement Learning Robots of the Lost Arc: Self-Supervised Learning to Dynamically Manipulate Fixed-Endpoint Cables

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-11T22:50:33.508839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:50:33.508839Z digest=sha256:e50478d95128f2d43dd89d7f528190c6d3153ee9009ea37a42d195ae2dc61254

Observation 24e8b64b-fbc0-461d-a834-ab34166a1d40 · inbound

SpeedTuning: Speeding Up Policy Execution with Lightweight Reinforcement Learning cites this paper.

SpeedTuning: Speeding Up Policy Execution with Lightweight Reinforcement Learning Robots of the Lost Arc: Self-Supervised Learning to Dynamically Manipulate Fixed-Endpoint Cables

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-14T04:22:55.655336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:22:55.655336Z digest=sha256:0ff1d12c40ad9c7a030c39f0a16bb7c8670bb2d189481960ff7356171cf7721e