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Paper Citation Record · LEDGER

Open-Sourced Reinforcement Learning Environments for Surgical Robotics

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1903.02090.

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

pith.paper-citation-record.v1
1903.02090 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:10:18.931239Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T23:15:26.653928Z

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 95929e0e-b40b-4b5d-9503-a25ba33c8cac · inbound

Learning Autonomous Surgical Irrigation and Suction with the da Vinci Research Kit Using Reinforcement Learning cites this paper.

Learning Autonomous Surgical Irrigation and Suction with the da Vinci Research Kit Using Reinforcement Learning Open-Sourced Reinforcement Learning Environments for Surgical Robotics

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-12T15:10:18.931239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:10:18.931239Z digest=sha256:7c5fa38a85bd133d4c7365c3ddbd5497d3f30dd8f85ec031e2c9751c7f6b96f7

Observation b24b0510-b1e4-431e-a3e8-7e3b4627dbe6 · inbound

TwinOR: Photorealistic Digital Twins of Dynamic Operating Rooms for Embodied AI Research cites this paper.

TwinOR: Photorealistic Digital Twins of Dynamic Operating Rooms for Embodied AI Research Open-Sourced Reinforcement Learning Environments for Surgical Robotics

Reference 8

Resolution
malformed identifier
arxiv_id, observed 2026-05-17T23:15:26.659631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-17T23:14:09.639543Z digest=sha256:89343c1ad12ee8a3bf0222ccfda03229557e5d9525e72b8675fce113558467e7