Paper Citation Record · LEDGER

Representing Random Utility Choice Models with Neural Networks

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2207.12877.

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

pith.paper-citation-record.v1
2207.12877 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:23:51.062421Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T01:28:42.497006Z

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 141d8e34-2672-45f9-a704-bfa59503420b · inbound

A Deep Learning Approach to Heterogeneous Consumer Aesthetics in Fast Fashion cites this paper.

A Deep Learning Approach to Heterogeneous Consumer Aesthetics in Fast Fashion Representing Random Utility Choice Models with Neural Networks

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-08-05T01:36:09.798437Z

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.

Observation 78b225ef-0d79-46ed-9a2b-07779f9bddf8 · inbound

OMGPT: A Sequence Modeling Framework for Data-driven Operational Decision Making cites this paper.

OMGPT: A Sequence Modeling Framework for Data-driven Operational Decision Making Representing Random Utility Choice Models with Neural Networks

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-15T20:23:51.062421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c46f5b4-85ff-4f71-b0ad-928bf7d7375d · inbound

InvEvolve: Evolving White-Box Inventory Policies via Large Language Models with Performance Guarantees cites this paper.

InvEvolve: Evolving White-Box Inventory Policies via Large Language Models with Performance Guarantees Representing Random Utility Choice Models with Neural Networks

Reference 28

Resolution: metadata mismatch; arxiv_id, observed 2026-08-05T01:36:09.798437Z

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.

Observation 918c021b-ab32-4255-9492-7d5b8c957c01 · inbound

InvEvolve: Evolving White-Box Inventory Policies via Large Language Models with Performance Guarantees cites this paper.

InvEvolve: Evolving White-Box Inventory Policies via Large Language Models with Performance Guarantees Representing Random Utility Choice Models with Neural Networks

Reference 28

Resolution: metadata mismatch; arxiv_id, observed 2026-08-05T01:36:09.798437Z

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.