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Paper Citation Record · LEDGER

Neural Tangent Knowledge Distillation for Optical Convolutional Networks

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2508.08421.

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

pith.paper-citation-record.v1
2508.08421 v1

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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T22:05:24.061535Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T23:51:22.015991Z

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 35c451cc-a621-485a-aa07-64b1d439f33b · inbound

Advantages of Broadband Metalenses for Generalizable Image Classification cites this paper.

Advantages of Broadband Metalenses for Generalizable Image Classification Neural Tangent Knowledge Distillation for Optical Convolutional Networks

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-16T23:51:22.018038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T23:49:46.920106Z digest=sha256:881ac40ce7881da4bcc0c71a845a8d2aaa2160e151c95f4641c8f2fec1d615e5

Observation ed0cf9f1-18c0-40fa-8e72-d91fdc8a4ecb · inbound

Limits and Trade-Offs of Shift-Invariant Meta-Optical Encoders for Image Compression cites this paper.

Limits and Trade-Offs of Shift-Invariant Meta-Optical Encoders for Image Compression Neural Tangent Knowledge Distillation for Optical Convolutional Networks

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-02T22:05:24.061535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T22:05:24.061535Z digest=sha256:f6b4191ff89b3566725e8bd513d669522beb430826715821f69a7d84cd520c42