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Paper Citation Record · LEDGER

Query Expansion by Prompting Large Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 31 inbound Pith citation observations for arXiv:2305.03653.

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

pith.paper-citation-record.v1
2305.03653 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 31 of 31 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 31 of 31 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T04:43:14.909087Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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  • malformed identifier0
  • metadata mismatch0

External citation measurements

17
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation e733152b-769f-4d6b-8227-d8f339827e96 · inbound

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions cites this paper.

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions Query Expansion by Prompting Large Language Models

Reference 137

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verified exact
arxiv_id, observed 2026-05-13T02:46:27.279859Z

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.

source=pdf_text observed=2026-05-13T02:46:26.957539Z digest=sha256:f1f286899f207bf7ed5e6ddb744e02c19837dddbfa7e3b4423dc9c6470f96652

Observation e8ae2e81-cb2d-45c8-8b35-d6b75a960241 · inbound

Retrieval-Augmented Generation with Graphs (GraphRAG) cites this paper.

Retrieval-Augmented Generation with Graphs (GraphRAG) Query Expansion by Prompting Large Language Models

Reference 173

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arxiv_id, observed 2026-05-18T04:33:39.224282Z

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.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:f45daa1aeb3463436aba0f97407b6481fe31bb2e183c065b1d42c18f98ac0966

Observation e23ed850-c823-4875-ae19-cf30398ad08b · inbound

RankFlow: A Multi-Role Collaborative Reranking Workflow Utilizing Large Language Models cites this paper.

RankFlow: A Multi-Role Collaborative Reranking Workflow Utilizing Large Language Models Query Expansion by Prompting Large Language Models

Reference 24

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arxiv_id, observed 2026-05-23T04:37:31.866942Z

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.

source=pdf_text observed=2026-05-23T04:36:32.897387Z digest=sha256:6be3aa0006b179894f2415f915b346d6de28b5fa62b03493aa54d22871ab0970

Observation 5f9749b4-1605-44a9-9869-7e77e29785e3 · inbound

A New Query Expansion Approach via Agent-Mediated Dialogic Inquiry cites this paper.

A New Query Expansion Approach via Agent-Mediated Dialogic Inquiry Query Expansion by Prompting Large Language Models

Reference 16

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no resolver link, observed 2026-08-08T04:43:14.909087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:43:14.909087Z digest=sha256:bd97af5c25b7a0e7a1687e2a9a5a3853297def54aa10d85ad5f1eadb5a53ceb6

Observation 7d631a2a-6949-40da-afba-e3647031175f · inbound

Xinyu AI Search: Enhanced Relevance and Comprehensive Results with Rich Answer Presentations cites this paper.

Xinyu AI Search: Enhanced Relevance and Comprehensive Results with Rich Answer Presentations Query Expansion by Prompting Large Language Models

Reference 30

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no resolver link, observed 2026-08-07T13:26:04.687766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:26:04.687766Z digest=sha256:5c64fc3671e5c97dee949cdc09caf81b0c07b00cb78a5ae414d70027e906df3a

Observation a8d8330d-040f-436b-bf64-80819c7cb715 · inbound

Exp4Fuse: A Rank Fusion Framework for Enhanced Sparse Retrieval using Large Language Model-based Query Expansion cites this paper.

Exp4Fuse: A Rank Fusion Framework for Enhanced Sparse Retrieval using Large Language Model-based Query Expansion Query Expansion by Prompting Large Language Models

Reference 15

Resolution
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no resolver link, observed 2026-08-07T10:38:17.808919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:38:17.808919Z digest=sha256:d71d507f8bfdf73eddf327d2e540490b5593775d05f0c2fa70f07c0c733b74df

Observation 27d8f9d2-fed4-417f-bbea-97ea99ad3105 · inbound

GOLFer: Smaller LM-Generated Documents Hallucination Filter & Combiner for Query Expansion in Information Retrieval cites this paper.

GOLFer: Smaller LM-Generated Documents Hallucination Filter & Combiner for Query Expansion in Information Retrieval Query Expansion by Prompting Large Language Models

Reference 14

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no resolver link, observed 2026-08-07T10:40:12.884293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:40:12.884293Z digest=sha256:8ec6283b7a6ed38713d2e70987d28b382b7b095a482e09223cc596d1856c9c81

Observation e3cce578-8e54-4d06-9e2f-f0f172af9abc · inbound

On the Merits of LLM-Based Corpus Enrichment cites this paper.

On the Merits of LLM-Based Corpus Enrichment Query Expansion by Prompting Large Language Models

Reference 30

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no resolver link, observed 2026-08-07T06:06:36.057764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:06:36.057764Z digest=sha256:70da657f6addf4b00ca7652f7b20b85b66d378d9243a3defa08ac3da9523068c

Observation c33d0261-c2f9-46ce-8965-aaf4016bf124 · inbound

TongSearch-QR: Reinforced Query Reasoning for Retrieval cites this paper.

TongSearch-QR: Reinforced Query Reasoning for Retrieval Query Expansion by Prompting Large Language Models

Reference 11

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no resolver link, observed 2026-08-07T04:07:19.355526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:07:19.355526Z digest=sha256:c47355c7d7376c9d59d1989958e0827346ac7c828ff5eb472b4ae8b44bbf067a

Observation 55c6c97d-6bbe-40b9-8460-211288b871a1 · inbound

Text-to-SQL for Enterprise Data Analytics cites this paper.

Text-to-SQL for Enterprise Data Analytics Query Expansion by Prompting Large Language Models

Reference 9

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no resolver link, observed 2026-08-06T16:09:53.509843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:09:53.509843Z digest=sha256:c14284ab18930cac417ccbe8f890e7970a664641dc64c5cb5760998477918650

Observation 0cba48c9-9af7-4460-a1ea-2ab7a82bc985 · inbound

AIAP: A No-Code Workflow Builder for Non-Experts with Natural Language and Multi-Agent Collaboration cites this paper.

AIAP: A No-Code Workflow Builder for Non-Experts with Natural Language and Multi-Agent Collaboration Query Expansion by Prompting Large Language Models

Reference 19

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no resolver link, observed 2026-08-06T05:00:32.049392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:00:32.049392Z digest=sha256:19a20d15f4b376086fa8299c86693ab1d670f0097be5409b17795e9ff9438c3c

Observation c7a9a85c-8607-48fd-8ed1-c1a25b4acd02 · inbound

A Multi-Task Evaluation of LLMs' Processing of Academic Text Input cites this paper.

A Multi-Task Evaluation of LLMs' Processing of Academic Text Input Query Expansion by Prompting Large Language Models

Reference 20

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no resolver link, observed 2026-08-05T19:49:49.592780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T19:49:49.592780Z digest=sha256:2019d08c49d4876f9c3c169530774942a1529dc9fe4f11369385cef759bcbcea

Observation be76e098-d233-401b-91be-1ff6c6f7ef81 · inbound

A Case Study of Balanced Query Recommendation on Wikipedia cites this paper.

A Case Study of Balanced Query Recommendation on Wikipedia Query Expansion by Prompting Large Language Models

Reference 7

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no resolver link, observed 2026-08-05T15:10:51.059041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:10:51.059041Z digest=sha256:ed988b991e296be169c944619ae983eb7bb6e4ec0a72c80ca8cd18f0dd3fe22c

Observation 6d706749-684d-402c-9604-4338cb3ac149 · inbound

Upcycling Candidate Tokens of Large Language Models for Query Expansion cites this paper.

Upcycling Candidate Tokens of Large Language Models for Query Expansion Query Expansion by Prompting Large Language Models

Reference 11

Resolution
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no resolver link, observed 2026-08-05T11:40:15.550347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:40:15.550347Z digest=sha256:b6005b1b6c78dd508291c3be7fc934dc05992b05fc482fa4fcc0c17bc3715df1

Observation fdc6706f-2a82-41ee-bfe3-9007be5122be · inbound

Domain-Aware RAG: MoL-Enhanced RL for Efficient Training and Scalable Retrieval cites this paper.

Domain-Aware RAG: MoL-Enhanced RL for Efficient Training and Scalable Retrieval Query Expansion by Prompting Large Language Models

Reference 9

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unresolved
no resolver link, observed 2026-08-04T23:23:40.197978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T23:23:40.197978Z digest=sha256:029b63b945815655fc84f05ef061c8e1d8e4876ee6331bfdcfd677252d133362

Observation 2a4fbbf0-048e-4a8e-878a-9b0eac4da28e · inbound

Benchmarking Information Retrieval Models on Complex Retrieval Tasks cites this paper.

Benchmarking Information Retrieval Models on Complex Retrieval Tasks Query Expansion by Prompting Large Language Models

Reference 37

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no resolver link, observed 2026-08-04T22:37:58.133713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:37:58.133713Z digest=sha256:ecece19d1ee0bb6691f80dc52f5ebbf31ceaa1b2f92bd2927b321e38e504ea24

Observation 1f740a60-61f7-455e-9896-e1360df8be1f · inbound

Query Expansion in the Age of Pre-trained and Large Language Models: A Comprehensive Survey cites this paper.

Query Expansion in the Age of Pre-trained and Large Language Models: A Comprehensive Survey Query Expansion by Prompting Large Language Models

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-18T18:11:43.106613Z

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.

source=pdf_text observed=2026-05-18T18:07:33.612858Z digest=sha256:4d7106bb0fd5b98f1d39fc4decbe9a7f42648ac443c033c89fa1f3a2e7fe1d0d

Observation f03d84fd-85c2-4bd4-8f60-678ebeb8d3cf · inbound

LLM Ensemble for RAG: Role of Context Length in Zero-Shot Question Answering for BioASQ Challenge cites this paper.

LLM Ensemble for RAG: Role of Context Length in Zero-Shot Question Answering for BioASQ Challenge Query Expansion by Prompting Large Language Models

Reference 3

Resolution
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no resolver link, observed 2026-08-04T20:24:55.822404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:24:55.822404Z digest=sha256:0af8825abc01524d1a4fe49ab14ab4776b1cf2039f0cb5669ebc4382b311ee84

Observation 515abc82-83ba-490d-b5f7-de5ac2abc89b · inbound

Chinese Short-Form Creative Content Generation via Explanation-Oriented Multi-Objective Optimization cites this paper.

Chinese Short-Form Creative Content Generation via Explanation-Oriented Multi-Objective Optimization Query Expansion by Prompting Large Language Models

Reference 79

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verified exact
arxiv_id, observed 2026-05-17T20:52:06.083913Z

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.

source=pdf_text observed=2026-05-17T20:50:53.673037Z digest=sha256:7e411bf8cb00b45c3c2e599ac947e1cf7ac38cd7fb37f9176a25446b73ed6f15

Observation ba43ef93-0d96-4f59-9bff-2e211db4324b · inbound

WisPaper: Your AI Scholar Search Engine cites this paper.

WisPaper: Your AI Scholar Search Engine Query Expansion by Prompting Large Language Models

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-17T00:48:46.005385Z

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.

source=pdf_text observed=2026-05-17T00:45:31.726233Z digest=sha256:1240fa17744fdedb9d65290c1c395afda26e34fc739dab88b8f79f7f572d2107

Observation d6a6b037-c2c5-4f4a-8565-295fb2d2b673 · inbound

When & How to Write for Personalized Demand-aware Query Rewriting in Video Search cites this paper.

When & How to Write for Personalized Demand-aware Query Rewriting in Video Search Query Expansion by Prompting Large Language Models

Reference 11

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verified exact
arxiv_id, observed 2026-05-16T22:13:36.070104Z

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.

source=pdf_text observed=2026-05-16T22:13:09.908378Z digest=sha256:bd3f7756a635de442c098da8b4079f65908480af767a3760d13e615045e3715d

Observation 82d56b4c-b557-4af3-967c-0ed88a3c47f4 · inbound

Towards Knowledgeable Deep Research: Framework and Benchmark cites this paper.

Towards Knowledgeable Deep Research: Framework and Benchmark Query Expansion by Prompting Large Language Models

Reference 14

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verified exact
arxiv_id, observed 2026-05-11T05:10:54.528886Z

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.

source=pdf_text observed=2026-05-10T18:17:35.879705Z digest=sha256:4ee6e5ad1a4d7790df9ae2c61899d5e42fe444ed531d86bd3a22cc9adb5b8fc8

Observation 47c77158-c491-4bd1-9699-8bf4fa2e2419 · inbound

An Answer is just the Start: Related Insight Generation for Open-Ended Document-Grounded QA cites this paper.

An Answer is just the Start: Related Insight Generation for Open-Ended Document-Grounded QA Query Expansion by Prompting Large Language Models

Reference 55

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arxiv_id, observed 2026-05-10T02:53:29.898906Z

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.

source=arxiv_source observed=2026-05-10T02:45:16.595617Z digest=sha256:d7edd8957762f7033c5e030806d52fb7068e4235d6e60e80cdeb6fec07cbef31

Observation 32a5a456-3494-453c-8908-2050452420b7 · inbound

Can QPP Choose the Right Query Variant? Evaluating Query Variant Selection for RAG Pipelines cites this paper.

Can QPP Choose the Right Query Variant? Evaluating Query Variant Selection for RAG Pipelines Query Expansion by Prompting Large Language Models

Reference 45

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arxiv_id, observed 2026-05-11T20:06:10.095132Z

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.

source=pdf_text observed=2026-05-08T10:18:59.759192Z digest=sha256:adb3e64fe2c4d0f1d17a67ccbe474af386a79fb2a10ca027fa79c7fa736873a4

Observation 5de4c27d-51bc-4568-90d5-80168b8a1f8e · inbound

A Reproducibility Study of LLM-Based Query Reformulation cites this paper.

A Reproducibility Study of LLM-Based Query Reformulation Query Expansion by Prompting Large Language Models

Reference 17

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arxiv_id, observed 2026-05-12T09:51:27.826732Z

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.

source=pdf_text observed=2026-05-07T09:04:41.641995Z digest=sha256:06b127af1bcd08fa113d2b2203ca93db1557b6f3417cebe8bb9eab1f3cb04ecc

Observation 823de8a6-c13f-4ef2-b580-15c2fe4977df · inbound

When More Reformulations Hurt: Avoiding Drift using Ranker Feedback cites this paper.

When More Reformulations Hurt: Avoiding Drift using Ranker Feedback Query Expansion by Prompting Large Language Models

Reference 10

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arxiv_id, observed 2026-05-09T19:35:39.600127Z

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.

source=pdf_text observed=2026-05-09T18:40:35.840350Z digest=sha256:c954f8e44fe28e48eda4709c099228162c5b28e628dea3c8e3f23ec8efe12da1

Observation 1a82d8c6-c8c4-4847-a9c4-a03d24f895ca · inbound

Policy-Grounded Dynamic Facet Suggestions for Job Search cites this paper.

Policy-Grounded Dynamic Facet Suggestions for Job Search Query Expansion by Prompting Large Language Models

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-19T21:37:47.841235Z

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.

source=pdf_text observed=2026-05-19T21:36:48.182204Z digest=sha256:cbcb46375a7d58f5871c61898719db44100d7bf0db0e98fe5dacea104757d421

Observation a45f2561-65af-4a69-9bae-a52ad56a140b · inbound

Retrieval-Oriented Code Representations in Agentic Bug Localization cites this paper.

Retrieval-Oriented Code Representations in Agentic Bug Localization Query Expansion by Prompting Large Language Models

Reference 19

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no resolver link, observed 2026-07-14T07:26:27.360126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T07:26:27.360126Z digest=sha256:ea209214faebadfd6a0f71fd49e1d250f326ca463157f3e052c42897648fb48a

Observation 1ccbe642-a3ad-4e85-93ee-293980dd7228 · inbound

PCTD: Preference-Guided Counterfactual Task Decomposition for Agent Tool Retrieval cites this paper.

PCTD: Preference-Guided Counterfactual Task Decomposition for Agent Tool Retrieval Query Expansion by Prompting Large Language Models

Reference 26

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no resolver link, observed 2026-08-01T22:39:23.722112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:39:23.722112Z digest=sha256:3bd6d9ed971d01fda55f10c5509e7f119ae93df3a2cb13f86296dc2a20160326

Observation 32a1fb78-f491-40a1-a22d-33eccc91fbbd · inbound

SMART: LLM-Augmented Hybrid Retrieval for Dynamic Product Ads cites this paper.

SMART: LLM-Augmented Hybrid Retrieval for Dynamic Product Ads Query Expansion by Prompting Large Language Models

Reference 18

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no resolver link, observed 2026-08-01T03:36:58.871350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T03:36:58.871350Z digest=sha256:b19738328f471a04c4f0014a49ca2155ee296e57034260437c9a4c074e01358c

Observation 6046eab3-aa4a-4280-b80d-f4f6257f0412 · inbound

Hierarchical Reranking for Scalable Financial RAG System cites this paper.

Hierarchical Reranking for Scalable Financial RAG System Query Expansion by Prompting Large Language Models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-01T06:25:06.323397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T06:25:06.323397Z digest=sha256:b1ecd3a7c8f288bc1b3aba17aed8317d000fe37ac79edb996a63b395ad7b2a10