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Paper Citation Record · LEDGER

DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2002.06987.

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

pith.paper-citation-record.v1
2002.06987 v3

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 2026-08-11T23:59:53.980605Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T00:57:30.142771Z

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 a1536793-a0eb-463a-b645-85d72f6e681b · inbound

Improving feature interactions at Pinterest under industry constraints cites this paper.

Improving feature interactions at Pinterest under industry constraints DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-11T23:59:53.980605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:59:53.980605Z digest=sha256:760d60aa1c18dcd69de38843e50703ec51c5c3abd35788664582c6592db6d426

Observation 5667e322-8bd7-47f2-a674-e732b1c4ea68 · inbound

DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction cites this paper.

DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-07-03T00:57:30.144324Z

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=2026-06-27T16:56:12.040446Z digest=sha256:5243761122ad10627674d671c7b072a8ed2d610ebdd38d41e9799cba89a9c2e9