Pith. sign in

Paper Citation Record · LEDGER

Dynamic Neural Networks: A Survey

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2102.04906.

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

pith.paper-citation-record.v1
2102.04906 v4

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 2026-08-11T05:50:32.967666Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-04T22:18:52.403381Z

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 5114dfa6-4de3-4f8f-a34e-b0e42a252e47 · inbound

Scalable Speech Enhancement with Dynamic Channel Pruning cites this paper.

Scalable Speech Enhancement with Dynamic Channel Pruning Dynamic Neural Networks: A Survey

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-11T05:50:32.967666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:50:32.967666Z digest=sha256:6187507413adaa2dab511e9e2e44df174260151d74598690321dad8c2f3fa61e

Observation a35da881-ab44-4452-becc-dbfe9a9718ce · inbound

SA-OOSC: A Multimodal LLM-Distilled Semantic Communication Framework for Enhanced Coding Efficiency with Scenario Understanding cites this paper.

SA-OOSC: A Multimodal LLM-Distilled Semantic Communication Framework for Enhanced Coding Efficiency with Scenario Understanding Dynamic Neural Networks: A Survey

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-08-04T22:18:52.498428Z

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=pdf_text observed=2026-08-04T22:18:51.654159Z digest=sha256:f573db447a40d8c33780689d702adeb83035ba30959d405e8511963041dfc5f1