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Paper Citation Record · LEDGER

Enhanced Photonic Chip Design via Interpretable Machine Learning Techniques

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2505.09266.

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

pith.paper-citation-record.v1
2505.09266 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T22:41:12.264096Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-03T00:16:12.290498Z

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 979a18c7-4da6-40b9-92c1-45ff04f1d7f2 · inbound

Inverse Engineering of Optical Constants in Photochromic Micron-Scale Hybrid Films cites this paper.

Inverse Engineering of Optical Constants in Photochromic Micron-Scale Hybrid Films Enhanced Photonic Chip Design via Interpretable Machine Learning Techniques

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-08-02T22:44:13.777054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-08-02T22:41:12.264096Z digest=sha256:0828790d3db1940387c379eba05f3326ae9bf09d3f6e7f9f927cb38721630c65