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Paper Citation Record · LEDGER

Synthetica: Large Scale Synthetic Data for Robot Perception

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.21153.

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

pith.paper-citation-record.v1
2410.21153 v1

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

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T10:03:54.419845Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T03:26:29.299762Z

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 38ce9f62-e25d-4b77-a409-0f815c3ceeef · inbound

What Makes Synthetic Data Effective in Image Segmentation cites this paper.

What Makes Synthetic Data Effective in Image Segmentation Synthetica: Large Scale Synthetic Data for Robot Perception

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-20T07:13:06.684181Z

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=2026-05-20T07:08:16.047730Z digest=sha256:f788dd4b01fc4af76d766f954b31e9e3bf42d468490d332fbd71024fe4ab76e7

Observation 13f252aa-d819-44ab-baef-d41fbb19d002 · inbound

NVIDIA Isaac Sim: Enabling Scalable, GPU-Accelerated Simulation for Robotics cites this paper.

NVIDIA Isaac Sim: Enabling Scalable, GPU-Accelerated Simulation for Robotics Synthetica: Large Scale Synthetic Data for Robot Perception

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-07-02T03:26:29.301420Z

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=2026-06-28T10:03:54.419845Z digest=sha256:eb9d32af8382226ae49c509aa5adb2f821dc0c2a6ff0315d2f6b84312019fe92