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Paper Citation Record · LEDGER

Training independent subnetworks for robust prediction

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2010.06610.

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

pith.paper-citation-record.v1
2010.06610 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:44:15.519215Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T01:27:31.732711Z

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 9c6085fc-c066-4d71-b85a-31f4fb9a9c93 · inbound

NeuroTrails: Training with Dynamic Sparse Heads as the Key to Effective Ensembling cites this paper.

NeuroTrails: Training with Dynamic Sparse Heads as the Key to Effective Ensembling Training independent subnetworks for robust prediction

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T14:44:15.519215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:44:15.519215Z digest=sha256:50b63dfc51381c604966b8f343f04216a90ff95ecc5310dd13aa3547bc4dc427

Observation 35c00fc4-67d5-44ec-aa4d-c8340d89eb38 · inbound

Taming Perception Jitter: Uncertainty-Aware LiDAR Object Detection for Reliable Motion Classification cites this paper.

Taming Perception Jitter: Uncertainty-Aware LiDAR Object Detection for Reliable Motion Classification Training independent subnetworks for robust prediction

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-07-03T01:27:31.734117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T16:27:57.889398Z digest=sha256:4709ed99619bfb2316fa1f677d87c25228ae3dde2f5e98421b0ae3219228a14b