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Paper Citation Record · LEDGER

Demystifying ResNet

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1611.01186.

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

pith.paper-citation-record.v1
1611.01186 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T12:47:19.524183Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-24T17:59:46.606967Z

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 eada6e83-43c8-4de6-89ea-3696a2368a45 · inbound

Deep Learning for Time Series Forecasting: The Electric Load Case cites this paper.

Deep Learning for Time Series Forecasting: The Electric Load Case Demystifying ResNet

Reference 93

Resolution
verified exact
local_arxiv, observed 2026-05-24T17:59:46.609902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-24T17:58:42.863642Z digest=sha256:aec0448dfd277f7d175449fcf32bcbe25ef5a53e44b9a23ede8871dff9bc7037

Observation 48d915c4-a6b1-4dc2-9c15-6de7d417d943 · inbound

Hierarchical Maximum Entropy via the Renormalization Group cites this paper.

Hierarchical Maximum Entropy via the Renormalization Group Demystifying ResNet

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-05T12:47:19.524183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:47:19.524183Z digest=sha256:85268bf12cc70104217de30421ea9e463e14f4443f4047ed6048a2986bb11560