Paper Citation Record · LEDGER

Generative Retrieval with Preference Optimization for E-commerce Search

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2407.19829.

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

pith.paper-citation-record.v1
2407.19829 v2

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 2026-08-15T06:32:42.880941+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:19:47.047794Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-27T05:30:36.170712Z

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 0dfd45ce-3b04-44ae-84b1-2d5400f94dcb · inbound

UniSearch: Rethinking Search System with a Unified Generative Architecture cites this paper.

UniSearch: Rethinking Search System with a Unified Generative Architecture Generative Retrieval with Preference Optimization for E-commerce Search

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T16:19:47.047794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3457f512-1dd3-4b36-a6c5-4a3aa91de7c9 · inbound

Synthetic Data Powers Product Retrieval for Long-tail Knowledge-Intensive Queries in E-commerce Search cites this paper.

Synthetic Data Powers Product Retrieval for Long-tail Knowledge-Intensive Queries in E-commerce Search Generative Retrieval with Preference Optimization for E-commerce Search

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-15T19:30:16.795453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 367969ef-af93-4eb4-a5e7-b423c1656026 · inbound

RAD-DPO: Robust Adaptive Denoising Direct Preference Optimization for Generative Retrieval in E-commerce cites this paper.

RAD-DPO: Robust Adaptive Denoising Direct Preference Optimization for Generative Retrieval in E-commerce Generative Retrieval with Preference Optimization for E-commerce Search

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-15T19:06:30.674909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation cda1973d-4e2b-46b1-96b1-8272cc379088 · inbound

Towards Efficient and Generalizable Retrieval: Adaptive Semantic Quantization and Residual Knowledge Transfer cites this paper.

Towards Efficient and Generalizable Retrieval: Adaptive Semantic Quantization and Residual Knowledge Transfer Generative Retrieval with Preference Optimization for E-commerce Search

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-15T19:00:15.542062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c07a1e78-1748-4ee7-a38c-d400438cdd0c · inbound

OneRetrieval: Unifying Multi-Branch E-commerce Retrieval with an Editable Generative Model cites this paper.

OneRetrieval: Unifying Multi-Branch E-commerce Retrieval with an Editable Generative Model Generative Retrieval with Preference Optimization for E-commerce Search

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-06-27T05:30:36.172105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 61dc917f-d514-40e0-9314-f7673a22258c · inbound

UniGD: A Unified Generative-Discriminative Framework for Industrial Retrieval cites this paper.

UniGD: A Unified Generative-Discriminative Framework for Industrial Retrieval Generative Retrieval with Preference Optimization for E-commerce Search

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-06T00:42:54.087119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.