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Paper Citation Record · LEDGER

Lightweight Deep Learning for Resource-Constrained Environments: A Survey

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2404.07236.

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

pith.paper-citation-record.v1
2404.07236 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T19:04:45.638088Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T22:03:10.261029Z

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 bb16dbef-3cbb-4a46-9369-6dd9548b7ea0 · inbound

Forget the Data and Fine-Tuning! Just Fold the Network to Compress cites this paper.

Forget the Data and Fine-Tuning! Just Fold the Network to Compress Lightweight Deep Learning for Resource-Constrained Environments: A Survey

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-07T19:04:45.638088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T19:04:45.638088Z digest=sha256:eaa2c2f47632362f3c6bee52bf93b2b95c8a9dd3c2d039700c2c0fc6259ea959

Observation f3ebb81c-2d81-46fe-8dad-f05f86a3b0d8 · inbound

SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning cites this paper.

SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning Lightweight Deep Learning for Resource-Constrained Environments: A Survey

Reference 94

Resolution
verified exact
local_arxiv, observed 2026-08-05T22:03:10.263530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:03:09.759875Z digest=sha256:879179d11daf99cbd4dfe02068b6f0d470f6a60f02ace5741e6799b9f7c7a8d2