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Paper Citation Record · LEDGER

Deep & Cross Network for Ad Click Predictions

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1708.05123.

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

pith.paper-citation-record.v1
1708.05123 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:59:54.122655Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-03T00:57:30.095807Z

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 94605877-6bf6-408c-9b69-6344f2c86dbf · inbound

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

Improving feature interactions at Pinterest under industry constraints Deep & Cross Network for Ad Click Predictions

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T23:59:54.122655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:59:54.122655Z digest=sha256:80927e075319a29a47061bc8f1c36a20cd75fcf0b452e7df7ff10c62fada2ea1

Observation 9ecb642d-94a4-445c-8ae2-fa4167869e21 · inbound

Self-Evolving Recommendation System: End-To-End Autonomous Model Optimization With LLM Agents cites this paper.

Self-Evolving Recommendation System: End-To-End Autonomous Model Optimization With LLM Agents Deep & Cross Network for Ad Click Predictions

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-03T01:15:22.849655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T01:15:22.849655Z digest=sha256:fb7f2b10e3376edec0f1a5df80fba62829b06709e1cb6152fdcdf23eb4074399

Observation 1488a6ea-ed9d-4724-9fcf-a1c55964537b · inbound

Self-Evolving Recommendation System: End-To-End Autonomous Model Optimization With LLM Agents cites this paper.

Self-Evolving Recommendation System: End-To-End Autonomous Model Optimization With LLM Agents Deep & Cross Network for Ad Click Predictions

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-04T06:05:27.846517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:05:27.846517Z digest=sha256:33b7127adae1e052b59d62f3ba3bec9b879380782260fff96ab395d5057b7372

Observation 01503f3e-6e7f-4302-82ff-7433aa0d7a72 · inbound

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

DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction Deep & Cross Network for Ad Click Predictions

Reference 19

Resolution
metadata mismatch
local_arxiv, observed 2026-07-03T00:57:30.097185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-27T16:56:12.040446Z digest=sha256:b9968bc78d1d0f51980d235de2bfbf350258090b7714cecc39e1ebcb638aa98c

Observation c5319da4-ca69-4c68-8b36-804ce5cb8bcc · inbound

WHALE: A Scalable Unified Model for Recommendation with Wukong-HSTU Architecture cites this paper.

WHALE: A Scalable Unified Model for Recommendation with Wukong-HSTU Architecture Deep & Cross Network for Ad Click Predictions

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-01T19:18:44.242181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:18:44.242181Z digest=sha256:bfdbf3db995fbd988f00b73f3b2f66c6c5da9149e088de0d3ea8ecf830680fe7

Observation 0d4302d2-e53e-4488-8e50-d646d1564582 · inbound

WHALE: A Scalable Unified Model for Recommendation with Wukong-HSTU Architecture cites this paper.

WHALE: A Scalable Unified Model for Recommendation with Wukong-HSTU Architecture Deep & Cross Network for Ad Click Predictions

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-04T04:17:56.659806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T04:17:56.659806Z digest=sha256:a33e5d78dac6033b4e8a7005957314b8caefa35f15eb22ba0bce9e4bfc378b41