Paper Citation Record · LEDGER

Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 inbound Pith citation observations for arXiv:2206.06588.

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

pith.paper-citation-record.v1
2206.06588 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 21 of 21 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 21 of 21 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:13:00.775447Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T10:19:47.677112Z

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 38a2818e-fa37-4d9a-89ba-5e0e89f10022 · inbound

Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders cites this paper.

Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-24T03:05:56.958422Z

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.

Observation beb8ee16-7336-4dce-8425-6f4cc99d4ba3 · inbound

What Prompts Don't Say: Understanding and Managing Underspecification in LLM Prompts cites this paper.

What Prompts Don't Say: Understanding and Managing Underspecification in LLM Prompts Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-22T14:04:53.218778Z

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.

Observation a1f478d7-6554-4617-8764-a9777f71991b · inbound

K-order Ranking Preference Optimization for Large Language Models cites this paper.

K-order Ranking Preference Optimization for Large Language Models Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T12:13:00.775447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ea4ca7e-c007-4493-b69c-2f41248b7424 · inbound

Generative Representational Learning of Foundation Models for Recommendation cites this paper.

Generative Representational Learning of Foundation Models for Recommendation Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T01:06:06.555859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1fc264d1-1842-4ad9-a7ac-e0929c6df5f5 · inbound

SEAL: Structure and Element Aware Learning to Improve Long Structured Document Retrieval cites this paper.

SEAL: Structure and Element Aware Learning to Improve Long Structured Document Retrieval Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-05T14:54:08.860922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57d6df3c-c0a4-44b6-97c3-d9808ce571da · inbound

Improving Search Suggestions for Alphanumeric Queries cites this paper.

Improving Search Suggestions for Alphanumeric Queries Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T21:53:19.645143Z

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.

Observation 817f0bd4-bdb5-497c-b8e1-75ac088defef · inbound

From Unstructured to Structured: LLM-Guided Attribute Graphs for Entity Search and Ranking cites this paper.

From Unstructured to Structured: LLM-Guided Attribute Graphs for Entity Search and Ranking Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:36:27.212008Z

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.

Observation fd7f0302-247b-460e-a4d9-6c37097060dc · inbound

How Generative AI Disrupts Search: An Empirical Study of Google Search, Gemini, and AI Overviews cites this paper.

How Generative AI Disrupts Search: An Empirical Study of Google Search, Gemini, and AI Overviews Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:31:28.990150Z

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.

Observation 125e5e00-f1a4-4d0d-9a9e-0435045a1fe7 · inbound

NumColBERT: Non-Intrusive Numeracy Injection for Late-Interaction Retrieval Models cites this paper.

NumColBERT: Non-Intrusive Numeracy Injection for Late-Interaction Retrieval Models Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-12T02:56:18.950931Z

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.

Observation 0fca0652-f8c6-49bb-889c-0c8226f791e5 · inbound

LRanker: LLM Ranker for Massive Candidates cites this paper.

LRanker: LLM Ranker for Massive Candidates Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-06-29T10:33:18.820202Z

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.

Observation e5c2e0e5-12e9-4a51-89d4-09c49a0be32a · inbound

Can It Reach the Generator? Investigating the Survival of Prompt-Injection Attacks in Realistic RAG Settings cites this paper.

Can It Reach the Generator? Investigating the Survival of Prompt-Injection Attacks in Realistic RAG Settings Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-06-29T12:03:24.288069Z

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.

Observation 7936a8d1-98fe-4f8a-ae4b-5cd04a53407f · inbound

GEO-Bench: Benchmarking Ranking Manipulation in Generative Engine Optimization cites this paper.

GEO-Bench: Benchmarking Ranking Manipulation in Generative Engine Optimization Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T11:23:21.774392Z

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.

Observation 94f27777-228c-46a9-a4b3-c4fcfa0e61c5 · inbound

Beyond Matching: Category-Guided Latent Intent Reasoning for Generative Retrieval in E-Commerce cites this paper.

Beyond Matching: Category-Guided Latent Intent Reasoning for Generative Retrieval in E-Commerce Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-07-02T20:17:21.255587Z

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.

Observation 098901d6-1f08-4de3-a976-e19df9b341a8 · inbound

Customer-Agent: Overcoming Context Limitations in Ultra-Long Shopping Trajectories via Tool-Augmented Agents and RLVR cites this paper.

Customer-Agent: Overcoming Context Limitations in Ultra-Long Shopping Trajectories via Tool-Augmented Agents and RLVR Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T20:47:23.432604Z

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.

Observation cce1d91a-8918-41e6-9062-2da9f73ffa55 · inbound

EComAgentBench: Benchmarking Shopping Agents on Long-Horizon Tasks with Distributed Hidden Intent cites this paper.

EComAgentBench: Benchmarking Shopping Agents on Long-Horizon Tasks with Distributed Hidden Intent Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-07-03T21:08:57.970964Z

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.

Observation 2f8c8d57-8633-49ef-b083-83b312596136 · inbound

KaLM-Reranker-V1: Fast but Not Late Interaction for Compressed Document Reranking cites this paper.

KaLM-Reranker-V1: Fast but Not Late Interaction for Compressed Document Reranking Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search

Reference 28

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T10:19:47.678595Z

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.

Observation 3b10daaa-2e1a-4894-a061-ac0ffb1e89d7 · inbound

KaLM-Reranker-V1: Fast but Not Late Interaction for Compressed Document Reranking cites this paper.

KaLM-Reranker-V1: Fast but Not Late Interaction for Compressed Document Reranking Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search

Reference 28

Resolution: unresolved; no resolver link, observed 2026-07-12T12:48:54.633720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9703bdcf-4097-4a01-b2d1-b5e031f38faa · inbound

APeB: Benchmarking Personalization Ability of Large Language Model Agents cites this paper.

APeB: Benchmarking Personalization Ability of Large Language Model Agents Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-12T04:26:24.074391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23b32d69-3c8e-4de9-b7b6-df8955116824 · inbound

jina-reranker-v3.5: An Efficient Listwise Reranker with Hybrid Attention and Self-Distillation cites this paper.

jina-reranker-v3.5: An Efficient Listwise Reranker with Hybrid Attention and Self-Distillation Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-01T15:54:47.908104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba82713d-d3e3-4e13-b921-b808d3635230 · inbound

MMShopBench: A Real-Log Benchmark for Multimodal, Multi-Turn Shopping Agents cites this paper.

MMShopBench: A Real-Log Benchmark for Multimodal, Multi-Turn Shopping Agents Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-03T15:38:30.761128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05d2a915-b4d7-4299-83f2-859488b06c60 · inbound

Evaluation Pitfalls and Sparsity Limitations in LLM-based Confidence Estimates for Classification cites this paper.

Evaluation Pitfalls and Sparsity Limitations in LLM-based Confidence Estimates for Classification Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T14:05:40.626084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.