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Paper Citation Record · LEDGER

Spherinator and HiPSter: Representation Learning for Unbiased Knowledge Discovery from Simulations

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.03810.

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

pith.paper-citation-record.v1
2406.03810 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 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:09:25.103967Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T23:33:51.537306Z

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 e253819b-0761-48ff-b6bb-588795544091 · inbound

JAvaScript Multimodal INformation Explorer cites this paper.

JAvaScript Multimodal INformation Explorer Spherinator and HiPSter: Representation Learning for Unbiased Knowledge Discovery from Simulations

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-16T05:09:25.103967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:09:25.103967Z digest=sha256:a27a287d6dcbc2c717774844af645fd6f54ad29dc85e2617bba63a2e74e4f7cf

Observation 34b68914-f721-4af5-bd7f-9ebf6d6fe182 · inbound

Machine Learning Workflow for Morphological Classification of Galaxies cites this paper.

Machine Learning Workflow for Morphological Classification of Galaxies Spherinator and HiPSter: Representation Learning for Unbiased Knowledge Discovery from Simulations

Reference 5

Resolution
metadata mismatch
local_arxiv, observed 2026-08-15T23:33:51.543290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T23:33:51.490980Z digest=sha256:7a4329cd04c90b382c295de8685e4ec9a067fc81ef4a1e9c7c67bbbade69405a