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Paper Citation Record · LEDGER

Deep-HiTS: Rotation Invariant Convolutional Neural Network for Transient Detection

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1701.00458.

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

pith.paper-citation-record.v1
1701.00458 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:34:22.211838Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T00:16:22.474752Z

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 359d5c57-9fac-4034-895e-ed49a828fe1c · inbound

The classification of real and bogus transients using active learning and semi-supervised learning cites this paper.

The classification of real and bogus transients using active learning and semi-supervised learning Deep-HiTS: Rotation Invariant Convolutional Neural Network for Transient Detection

Reference 10

Resolution
metadata mismatch
local_arxiv, observed 2026-08-11T23:34:22.490588Z

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=arxiv_source observed=2026-08-11T23:34:22.211838Z digest=sha256:f1bc9b0cfbe180109b242609150b5372ccb78546a22a3ea38adde300ee18df00