Paper Citation Record · LEDGER

Training Shallow and Thin Networks for Acceleration via Knowledge Distillation with Conditional Adversarial Networks

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1709.00513.

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

pith.paper-citation-record.v1
1709.00513 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:39:33.656741Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T14:11:15.553129Z

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 6975b93f-ae43-432e-bf73-6d832995ea62 · inbound

Bidirectional Knowledge Distillation for Enhancing Sequential Recommendation with Large Language Models cites this paper.

Bidirectional Knowledge Distillation for Enhancing Sequential Recommendation with Large Language Models Training Shallow and Thin Networks for Acceleration via Knowledge Distillation with Conditional Adversarial Networks

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T14:39:33.656741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83137d1c-c471-413e-bfcc-0652095b3879 · inbound

MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching cites this paper.

MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching Training Shallow and Thin Networks for Acceleration via Knowledge Distillation with Conditional Adversarial Networks

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T11:22:48.560964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6a1fa7c-ddcc-42c6-879b-5af88a09e17e · inbound

Scaling and Distilling Transformer Models for sEMG cites this paper.

Scaling and Distilling Transformer Models for sEMG Training Shallow and Thin Networks for Acceleration via Knowledge Distillation with Conditional Adversarial Networks

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-06T12:28:56.418623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38b0a9a1-82a1-4778-aa71-25bd18451261 · inbound

Latent-Space Mean-Field Theory for Deep BitNet-like Training: Constrained Gradient Flows with Smooth Quantization and STE Limits cites this paper.

Latent-Space Mean-Field Theory for Deep BitNet-like Training: Constrained Gradient Flows with Smooth Quantization and STE Limits Training Shallow and Thin Networks for Acceleration via Knowledge Distillation with Conditional Adversarial Networks

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-05T14:11:15.558459Z

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.