Paper Citation Record · LEDGER

Lessons from Learning to Spin "Pens"

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2407.18902.

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

pith.paper-citation-record.v1
2407.18902 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 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 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:18:12.011990Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T17:18:43.643796Z

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 644a8a36-1929-44f2-9a09-a1582a36a3ae · inbound

FLIP: Flow-Centric Generative Planning as General-Purpose Manipulation World Model cites this paper.

FLIP: Flow-Centric Generative Planning as General-Purpose Manipulation World Model Lessons from Learning to Spin "Pens"

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-11T18:07:55.253177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d48e4efd-1d21-4f17-a44c-02fe59a0ef25 · inbound

Learning to Play Piano in the Real World cites this paper.

Learning to Play Piano in the Real World Lessons from Learning to Spin "Pens"

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-22T23:22:15.515118Z

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.

Observation edaebd8d-30e8-4e35-9f5c-348cffe7b29c · inbound

RUKA: Rethinking the Design of Humanoid Hands with Learning cites this paper.

RUKA: Rethinking the Design of Humanoid Hands with Learning Lessons from Learning to Spin "Pens"

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-16T12:18:12.011990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07e70bbc-2c4f-42c8-9d43-18262367d174 · inbound

DexCtrl: Towards Sim-to-Real Dexterity with Adaptive Controller Learning cites this paper.

DexCtrl: Towards Sim-to-Real Dexterity with Adaptive Controller Learning Lessons from Learning to Spin "Pens"

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T04:34:40.032754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f8129f5-a538-4150-bf0f-cd3d3de4da59 · inbound

SimLauncher: Launching Sample-Efficient Real-world Robotic Reinforcement Learning via Simulation Pre-training cites this paper.

SimLauncher: Launching Sample-Efficient Real-world Robotic Reinforcement Learning via Simulation Pre-training Lessons from Learning to Spin "Pens"

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-06T19:53:06.378909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a2702c7-b7b3-428d-ba59-534b4b300325 · inbound

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations cites this paper.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Lessons from Learning to Spin "Pens"

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T17:08:57.498803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90df8e10-6376-41fe-8974-1de5102202b9 · inbound

SpikeATac: A Multimodal Tactile Finger with Taxelized Dynamic Sensing for Dexterous Manipulation cites this paper.

SpikeATac: A Multimodal Tactile Finger with Taxelized Dynamic Sensing for Dexterous Manipulation Lessons from Learning to Spin "Pens"

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-04T07:06:52.044342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8bc3d985-4153-4edf-9658-afd027f60952 · inbound

One Hand to Rule Them All: Canonical Representations for Unified Dexterous Manipulation cites this paper.

One Hand to Rule Them All: Canonical Representations for Unified Dexterous Manipulation Lessons from Learning to Spin "Pens"

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-21T12:30:07.602954Z

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.

Observation 9dfc55e1-8981-457f-9ef9-416c4f850f66 · inbound

Grasp to Act: Dexterous Grasping for Tool Use in Dynamic Settings cites this paper.

Grasp to Act: Dexterous Grasping for Tool Use in Dynamic Settings Lessons from Learning to Spin "Pens"

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-02T21:23:44.684630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1939aa57-3312-4b21-85dc-f3e6c73d765d · inbound

FlashSAC: Fast and Stable Off-Policy Reinforcement Learning for High-Dimensional Robot Control cites this paper.

FlashSAC: Fast and Stable Off-Policy Reinforcement Learning for High-Dimensional Robot Control Lessons from Learning to Spin "Pens"

Reference 90

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:15:49.822955Z

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.

Observation 4da4a885-b345-44fe-ade1-3cd1038d2cc5 · inbound

FlashSAC: Fast and Stable Off-Policy Reinforcement Learning for High-Dimensional Robot Control cites this paper.

FlashSAC: Fast and Stable Off-Policy Reinforcement Learning for High-Dimensional Robot Control Lessons from Learning to Spin "Pens"

Reference 90

Resolution: verified exact; arxiv_id, observed 2026-05-19T17:12:41.297393Z

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.

Observation 867d54f1-7f1d-4ea4-86d7-6adf37258372 · inbound

ETac: A Lightweight and Efficient Tactile Simulation Framework for Learning Dexterous Manipulation cites this paper.

ETac: A Lightweight and Efficient Tactile Simulation Framework for Learning Dexterous Manipulation Lessons from Learning to Spin "Pens"

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-10T00:54:48.967466Z

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.

Observation c0a3a85e-d2ee-4845-ba4b-4855c3f74265 · inbound

TopoRetarget: Interaction-Preserving Retargeting for Dexterous Manipulation cites this paper.

TopoRetarget: Interaction-Preserving Retargeting for Dexterous Manipulation Lessons from Learning to Spin "Pens"

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-07-03T17:18:43.645651Z

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.

Observation 5c570372-9cde-46fc-a6ee-08244be7e4dd · inbound

Towards Human-level Dexterous Teleoperation cites this paper.

Towards Human-level Dexterous Teleoperation Lessons from Learning to Spin "Pens"

Reference 32

Resolution: unresolved; no resolver link, observed 2026-07-14T05:19:30.446879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.