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Paper Citation Record · LEDGER

DenseNet Models for Tiny ImageNet Classification

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1904.10429.

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

pith.paper-citation-record.v1
1904.10429 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 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:39:35.271573Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T15:48:32.127305Z

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 6eeaede4-320d-4a6a-8a05-ff3e15707f38 · inbound

Soft-TransFormers for Continual Learning cites this paper.

Soft-TransFormers for Continual Learning DenseNet Models for Tiny ImageNet Classification

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-12T13:39:35.271573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T13:39:35.271573Z digest=sha256:5ef43c999f3037c7b711fdf28436c9d81b5c9a8cb5f5e0bc2f9c702b58b86916

Observation 1a3d526e-f348-401c-9679-75b13df91e11 · inbound

1GC-7RC: One Graphic Card -- Seven Research Challenges! How Good Are AI Agents at Doing Your Job? cites this paper.

1GC-7RC: One Graphic Card -- Seven Research Challenges! How Good Are AI Agents at Doing Your Job? DenseNet Models for Tiny ImageNet Classification

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-20T15:48:32.129060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-20T15:44:42.461430Z digest=sha256:8bfaa1508e8fd6591db4b43a5366398d9de97c5cd4bb68a1063e0c0a9dd3ed9c