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Paper Citation Record · LEDGER

Robotic Table Tennis: A Case Study into a High Speed Learning System

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2309.03315.

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

pith.paper-citation-record.v1
2309.03315 v2

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 2026-08-05T06:32:48.257954+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T08:13:32.060873Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T22:16:36.456412Z

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 08511f3a-68d5-4760-80bd-7b47a30a6cef · inbound

Biologically Inspired Event-Based Perception and Sample-Efficient Learning for High-Speed Table Tennis Robots cites this paper.

Biologically Inspired Event-Based Perception and Sample-Efficient Learning for High-Speed Table Tennis Robots Robotic Table Tennis: A Case Study into a High Speed Learning System

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:30:52.028636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T19:46:49.127963Z digest=sha256:9d7e7d08410016e5a2222634a85230ee3661d9fd84ea33260c8b9c222b818d05

Observation 2d9009b2-de93-40f8-b0a5-e57df00cc80c · inbound

Bridging the sim2real gap in the table tennis robot with a transformer-based ball states predictor cites this paper.

Bridging the sim2real gap in the table tennis robot with a transformer-based ball states predictor Robotic Table Tennis: A Case Study into a High Speed Learning System

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-07-03T06:17:42.488771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-27T12:44:01.887820Z digest=sha256:79f4718a262bae00097d1f526f1b5f2b88e51184c9c34cfc3429ce7368b9a6e6

Observation be37fe81-889e-415e-a510-611272677f27 · inbound

Ace! Motion Planning of Professional-Level Table Tennis Serves with a Robot Arm cites this paper.

Ace! Motion Planning of Professional-Level Table Tennis Serves with a Robot Arm Robotic Table Tennis: A Case Study into a High Speed Learning System

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-07-09T22:16:36.458158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-09T22:14:30.627941Z digest=sha256:1982c10b6e01d75cd31526581253de1f4eff9a0781721ede6513c821d98b5f1e

Observation 359ea82c-7ccd-4d5f-9951-4f694c9f8f53 · inbound

Ace! Motion Planning of Professional-Level Table Tennis Serves with a Robot Arm cites this paper.

Ace! Motion Planning of Professional-Level Table Tennis Serves with a Robot Arm Robotic Table Tennis: A Case Study into a High Speed Learning System

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-02T08:13:32.060873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T08:13:32.060873Z digest=sha256:41d38e26e77fe74b0e293477d3f6b1fe7167658fbc6b8d64ea7dcf548dc6a1c0