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Paper Citation Record · LEDGER

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

As of 23 July 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2602.23620.

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

pith.paper-citation-record.v1
2602.23620 v2

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-15T19:27:17.802597Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-23T06:31:01.910684+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

16 of 16 outbound references displayed

  • verified exact9
  • verified fuzzy7
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5feb4833-e595-4d2d-800f-2594ee99bd6c · outbound

This paper cites an unresolved cited work.

Synthetic Data Powers Product Retrieval for Long-tail Knowledge-Intensive Queries in E-commerce Search Unresolved cited work

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T19:31:31.897582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-15T19:27:17.802597Z digest=sha256:e1bda45d3d80743ca1426fe4c85ed7a785f22a6c9f46e8005a779c2ff033f83f

Observation af9b26ff-7ea0-4a68-a53c-783b9b157cdc · outbound

This paper cites an unresolved cited work.

Synthetic Data Powers Product Retrieval for Long-tail Knowledge-Intensive Queries in E-commerce Search Unresolved cited work

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T19:31:31.902500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-15T19:27:17.802597Z digest=sha256:93e01fea1154e3a72aefbb2578d310d0451ab98be1345ea1d45be15717b9f7aa

Observation 25c330be-1b94-428e-bf81-e95a9246ae6a · outbound

This paper cites REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage Normalization.

Synthetic Data Powers Product Retrieval for Long-tail Knowledge-Intensive Queries in E-commerce Search REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage Normalization

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-05-15T19:30:16.775303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-15T19:27:17.802597Z digest=sha256:4b1a45fdfdea0cd0064aa63e8cf3db03d11ccb0d9eda66a7ff808675105d6834

Observation ce3a6a37-c4af-4964-9a27-b8505cb44637 · outbound

This paper cites an unresolved cited work.

Synthetic Data Powers Product Retrieval for Long-tail Knowledge-Intensive Queries in E-commerce Search Unresolved cited work

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T19:31:31.888069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-15T19:27:17.802597Z digest=sha256:1feabd21e066e77758c4243a56219df4b07af56ec6355f87984d19d5f2859a47

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

This paper cites Generative Retrieval with Preference Optimization for E-commerce Search.

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 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-15T19:27:17.802597Z digest=sha256:e6185a979418995d751af649c0a59e34f693f810aadea303bb0447f5671783c1

Observation 1699cc91-6354-4864-8077-cea8fdb78b0e · outbound

This paper cites arXiv preprint arXiv:2511.13885 , year=.

Synthetic Data Powers Product Retrieval for Long-tail Knowledge-Intensive Queries in E-commerce Search arXiv preprint arXiv:2511.13885 , year=

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-15T19:30:16.796311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-15T19:27:17.802597Z digest=sha256:62d9de389d64e2f062c46c5dbd89068de9d549a45eac94328a81b0a19816e280

Observation 9dcd0c44-eb61-4e33-ae8f-e57ecd3baeb4 · outbound

This paper cites RL-based query rewriting with dis- tilled LLM for online e-commerce systems.

Synthetic Data Powers Product Retrieval for Long-tail Knowledge-Intensive Queries in E-commerce Search RL-based query rewriting with dis- tilled LLM for online e-commerce systems

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-15T19:30:16.780304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-15T19:27:17.802597Z digest=sha256:26c646348e916ac36500ec268e452aac89ad2dbb6224e71ec2a304b99ad218ae

Observation 4a770b33-ccb0-4c49-aaf7-f5905fb07010 · outbound

This paper cites an unresolved cited work.

Synthetic Data Powers Product Retrieval for Long-tail Knowledge-Intensive Queries in E-commerce Search Unresolved cited work

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T19:31:31.869356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-15T19:27:17.802597Z digest=sha256:54cc1b359827ef549663296cb40bc1f77f3c2eeef1f22fa8220672d90d071c36

Observation 3f41488a-a9f2-4b14-b5f9-15435ac11773 · outbound

This paper cites an unresolved cited work.

Synthetic Data Powers Product Retrieval for Long-tail Knowledge-Intensive Queries in E-commerce Search Unresolved cited work

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T19:31:31.863379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-15T19:27:17.802597Z digest=sha256:8853edf82a3066dec587e245d1a4c37f4b7f82d910ec5255e4845eb200c7ca1c

Observation 8bf059a9-a3e1-4ca1-be96-b22915a2709a · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

Synthetic Data Powers Product Retrieval for Long-tail Knowledge-Intensive Queries in E-commerce Search Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-05-15T19:30:16.779191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-15T19:27:17.802597Z digest=sha256:5085945e68e8dc5509e96a30a58d6fff714caea5d3d8718584f575918e24d0e3

Observation 08e6c655-7b2b-46e9-8164-082a1dc5a466 · outbound

This paper cites One Embedder, Any Task: Instruction-Finetuned Text Embeddings.

Synthetic Data Powers Product Retrieval for Long-tail Knowledge-Intensive Queries in E-commerce Search One Embedder, Any Task: Instruction-Finetuned Text Embeddings

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-15T19:30:16.762903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-15T19:27:17.802597Z digest=sha256:3016928e28d5429fafa4aed485fd4c069440446f59486db5426389c0e32156cc

Observation 60e45620-1d2d-40bb-bd30-a11510e4bcc6 · outbound

This paper cites an unresolved cited work.

Synthetic Data Powers Product Retrieval for Long-tail Knowledge-Intensive Queries in E-commerce Search Unresolved cited work

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T19:31:31.880064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-15T19:27:17.802597Z digest=sha256:aeb7d517f09766034893fc926d8ca177ce8bcdf1318e5f5059c7ccb1a2eff307

Observation cad7aad1-58b4-4b40-ae75-c7c578b63a76 · outbound

This paper cites Qwen3 Technical Report.

Synthetic Data Powers Product Retrieval for Long-tail Knowledge-Intensive Queries in E-commerce Search Qwen3 Technical Report

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-05-15T19:30:16.767631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-15T19:27:17.802597Z digest=sha256:57b5b7ab628676e9b98e3059a7905163be5ffe153344ae05661f065e79d79aba

Observation 1f86f5e7-f68a-4dca-baf8-2f190263c6a5 · outbound

This paper cites TaoSR-AGRL: Adaptive Guided Reinforcement Learning Framework for E-commerce Search Relevance.

Synthetic Data Powers Product Retrieval for Long-tail Knowledge-Intensive Queries in E-commerce Search TaoSR-AGRL: Adaptive Guided Reinforcement Learning Framework for E-commerce Search Relevance

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-07-07T03:17:12.927851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-15T19:27:17.802597Z digest=sha256:95f0279d393d4c22c15df5b473fb8884f8576e1dd2d21d6adce92fff1a4c9bec

Observation 030a5f85-d9bf-455e-95db-2a6264cc3d52 · outbound

This paper cites an unresolved cited work.

Synthetic Data Powers Product Retrieval for Long-tail Knowledge-Intensive Queries in E-commerce Search Unresolved cited work

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T19:31:31.874231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-15T19:27:17.802597Z digest=sha256:e0b31162524a215e6492738e5c1f296117e0833e23d959a7560e16c97acb1470

Observation 3c443da4-0b33-4846-9293-b38a3b3d4091 · outbound

This paper cites Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models.

Synthetic Data Powers Product Retrieval for Long-tail Knowledge-Intensive Queries in E-commerce Search Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-05-15T19:30:16.785013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-15T19:27:17.802597Z digest=sha256:3ff4afe0e4e8e5eaf0f27d546e000a64332131ea4579d24d6611b13735765171

Pith citing papers

No inbound Pith citation observations are available.