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Paper Citation Record · LEDGER

Practical Marketplace Optimization at Uber Using Causally-Informed Machine Learning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.19078.

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

pith.paper-citation-record.v1
2407.19078 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:58:25.937410Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T15:11:19.790998Z

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 48e4b39d-a71f-4ce7-8500-cfde34ed98ca · inbound

Hidden Representation Clustering with Multi-Task Representation Learning towards Robust Online Budget Allocation cites this paper.

Hidden Representation Clustering with Multi-Task Representation Learning towards Robust Online Budget Allocation Practical Marketplace Optimization at Uber Using Causally-Informed Machine Learning

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T11:58:25.937410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:58:25.937410Z digest=sha256:2b55c678d390e200d8caa781cb04a19d5d1b7271de9fd204fe6e682aca0d6a38

Observation 955fc710-3940-4322-874f-7bac595aec2c · inbound

Dynamic Synthetic Controls vs. Panel-Aware Double Machine Learning for Geo-Level Marketing Impact Estimation cites this paper.

Dynamic Synthetic Controls vs. Panel-Aware Double Machine Learning for Geo-Level Marketing Impact Estimation Practical Marketplace Optimization at Uber Using Causally-Informed Machine Learning

Reference 6

Resolution
metadata mismatch
local_arxiv, observed 2026-08-05T15:11:19.802410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T15:11:18.704178Z digest=sha256:c38e712ccb99d7e272fc0578fb8d0f570b251570d2af0e12a0f0350ea0fce891