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Paper Citation Record · LEDGER

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

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 27 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 27 of 27 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 27 of 27 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:16:27.316835Z

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

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  • unresolved0
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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

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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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-24T03:03:51.053556Z digest=sha256:dd8d97d0c79da7f35f720ee7567918cb1ecb856e7a19fb614775b47acc6a02ac

Observation bcece366-1d33-4f7e-a3ef-faaf8bbb7391 · inbound

Relational Programming with Foundation Models cites this paper.

Relational Programming with Foundation Models Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search

Reference 40

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no resolver link, observed 2026-08-11T12:13:21.557499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:13:21.557499Z digest=sha256:814edb366ab0f4b97b95a9e9b5b88c9178feb622661de4740105c3a0fced2e8b

Observation b7552e5b-a74a-49d0-9b7d-d6558224f85b · inbound

Hierarchical Multi-field Representations for Two-Stage E-commerce Retrieval cites this paper.

Hierarchical Multi-field Representations for Two-Stage E-commerce Retrieval Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search

Reference 43

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no resolver link, observed 2026-08-09T22:51:06.106758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:51:06.106758Z digest=sha256:24ac5b641f6da13bab324fe34298bde34b4fc66dcdb166d9131b724ae39b857f

Observation d083119b-0820-40ea-a5d4-661be2baeeab · inbound

Generative Product Recommendations for Implicit Superlative Queries cites this paper.

Generative Product Recommendations for Implicit Superlative Queries Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-16T10:16:27.316835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:16:27.316835Z digest=sha256:124b634aa36b5ed66de97f9481ff73879efc4fd3b8934c7097ec422ffa2e93fd

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-22T14:02:23.311597Z digest=sha256:526a6764ac2694ee02363a760fcf1cc79d98ecc8fe811e60b0a081a93146b168

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.

source=arxiv_source observed=2026-08-07T12:13:00.775447Z digest=sha256:bc39870c8877784d7c1d006336125f98dfb7dd08db7305b6c1fc2eaa7a725b6e

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.

source=pdf_text observed=2026-08-07T01:06:06.555859Z digest=sha256:82861741671d5acd38465dfdaba5e83d2f4767adce6b010ae6c8bcd695f9cf46

Observation f913b89d-bb3f-4d26-9b87-575cf49d6763 · inbound

Beyond One-Size-Fits-All: A Study of Neural and Behavioural Variability Across Different Recommendation Categories cites this paper.

Beyond One-Size-Fits-All: A Study of Neural and Behavioural Variability Across Different Recommendation Categories Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-15T20:05:49.531595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:49.531595Z digest=sha256:1ad21ee2b58bbe2eb974dd8ea2783ddfb6e6ba38cfa5ea931ae6617e5c1a38b5

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.

source=arxiv_source observed=2026-08-05T14:54:08.860922Z digest=sha256:040c917a01f750886f6f5a8f7c0245ea0f34754e0c5cc86e376806ac46a88393

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-13T21:51:48.780602Z digest=sha256:b38e3b460ef500f3efe8d99cfb64d1da781f1d822fa58a3a04a8d1f0d7ac69c7

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-07T10:12:13.866873Z digest=sha256:4ed7c82913622d24d9462decdb351edb95e6cb84f6abee403bb1996c9e719cad

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-07T05:53:45.445755Z digest=sha256:b76beff20b2d8ba8cb44363f96cb702282bdba6f39751a2145690c118cebf689

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-12T02:54:47.645605Z digest=sha256:c73f903c3fd03002ff311f0f3b6e1caf97991a8e7b772093953d7d07ec498343

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-29T10:30:39.472561Z digest=sha256:528ec7c18c92b58ed089567961a9cc782025cdc3f5f420e0f4f2d983da7b70f1

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-29T11:55:34.911818Z digest=sha256:f6c38e32af793b463d90ec497aac5c40f82778e9f1df55b0187a68de4c5fae00

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-29T11:14:21.052753Z digest=sha256:7ed88a566966d23372ca9454915ee81e8b2cdfb5ec78f1f751c87676932bd029

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-27T20:50:16.765453Z digest=sha256:9eceff1b9844ad5d38a4c11a443c3978f1c05f2e6c7533d56f6a7d1db1d82a01

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-27T20:05:34.326966Z digest=sha256:49000e93b11d17657dbf8f4f2125fe2c67aa4f73587a8f133dff17e41c6f274c

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-27T00:56:23.026065Z digest=sha256:e26f5ff835b322da4c7dc8d048c56642d55af6e65b3972fab312fb85d3879236

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-26T08:56:44.597624Z digest=sha256:b6d0452ebfeb7ce7571ea528282966eb4657faaca5f6b5f209b74124a6be1751

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T12:48:54.633720Z digest=sha256:4757d62719f1be5b2acb9b19879aa25049261f5e3a71014f1e7348714e889bac

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T04:26:24.074391Z digest=sha256:c39d57de5760ccfcfcaf5466355a4345e610ee77e837234d63425205018348bf

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.

source=pdf_text observed=2026-08-01T15:54:47.908104Z digest=sha256:2f9283c712f5c05e41c04abed4a3d50d39d1d0a5f9cd4228458e31ff9c1612a1

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T15:38:30.761128Z digest=sha256:454282eed89b703380903ee5c35cbb61e2462eaaae644c1384dc7a9f10928fb2

Observation fe78086b-8539-4710-91c3-734ddb8b92b0 · inbound

HIERA: Hierarchical Multi-Agent Relevance Assessment for Content Discovery Systems cites this paper.

HIERA: Hierarchical Multi-Agent Relevance Assessment for Content Discovery Systems Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search

Reference 27

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unresolved
no resolver link, observed 2026-08-15T15:20:29.289149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:20:29.289149Z digest=sha256:8123914a017b76c51ab2720581b372f598666555c3f8613e83a06dddbbb338fc

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:05:40.626084Z digest=sha256:0f3ebc16abd569efc4b03c9b27351b560e7cf52159e487d54f9463506e99fdcc

Observation 287ae2d7-1818-414e-afef-81d47307e0b4 · inbound

Post-Calibration Reliability Reranking of Relevance Decisions via Label-wise Monotone Projection cites this paper.

Post-Calibration Reliability Reranking of Relevance Decisions via Label-wise Monotone Projection Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search

Reference 33

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unresolved
no resolver link, observed 2026-08-15T14:26:20.506037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T14:26:20.506037Z digest=sha256:63aa4e85ad66883993151c674d78621fe75e77712d4ffab53a50adc7642bd96b