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Paper Citation Record · LEDGER

Energy-efficient Knowledge Distillation for Spiking Neural Networks

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2106.07172.

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

pith.paper-citation-record.v1
2106.07172 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 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:36:11.124039Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T13:57:21.882558Z

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 f76552a3-c0f4-4b76-8dbf-c135ed55a282 · inbound

Self-Attentive Spatio-Temporal Calibration for Precise Intermediate Layer Matching in ANN-to-SNN Distillation cites this paper.

Self-Attentive Spatio-Temporal Calibration for Precise Intermediate Layer Matching in ANN-to-SNN Distillation Energy-efficient Knowledge Distillation for Spiking Neural Networks

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-10T20:36:11.124039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:36:11.124039Z digest=sha256:82f36929821fadff522287e085f42749395dc998e6f1a02ea26f7a38a5a35a05

Observation 733451b7-947a-427b-a485-2d3619ff37f6 · inbound

Efficient Logit-based Knowledge Distillation of Deep Spiking Neural Networks for Full-Range Timestep Deployment cites this paper.

Efficient Logit-based Knowledge Distillation of Deep Spiking Neural Networks for Full-Range Timestep Deployment Energy-efficient Knowledge Distillation for Spiking Neural Networks

Reference 44

Resolution
verified exact
local_arxiv, observed 2026-08-10T13:57:21.887956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-10T13:57:21.326709Z digest=sha256:3c01bbe462e99cacf2dd7682b41bade941e1b54c6b27c759fb689e7eef4ceac2