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Paper Citation Record · LEDGER

Query2doc: Query Expansion with Large Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 34 inbound Pith citation observations for arXiv:2303.07678.

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

pith.paper-citation-record.v1
2303.07678 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 34 of 34 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T04:43:15.039226Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:29:51.665900Z

Reference resolution

0 of 0 outbound references displayed

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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 8d58389b-7f16-4b3f-8288-e1d7c657734f · inbound

Query pipeline optimization for cancer patient question answering systems cites this paper.

Query pipeline optimization for cancer patient question answering systems Query2doc: Query Expansion with Large Language Models

Reference 57

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verified exact
arxiv_id, observed 2026-05-23T06:32:38.924462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-23T06:31:03.045214Z digest=sha256:008c61185885192b1ce311ce94e387bebeb0ba093c15cc0b1b00439c3b8bfa54

Observation c1b8d028-df6e-47fb-bdeb-a781215e6143 · inbound

Search-o1: Agentic Search-Enhanced Large Reasoning Models cites this paper.

Search-o1: Agentic Search-Enhanced Large Reasoning Models Query2doc: Query Expansion with Large Language Models

Reference 58

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arxiv_id, observed 2026-05-13T17:36:27.597877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T17:36:27.515468Z digest=sha256:8b3ea19d2d0148c867aaffcdd71916c9976198a9dbdc4672c64915f6bb4f7996

Observation 42cc3066-81e0-4e71-962c-39e06e5f7e30 · inbound

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

A New Query Expansion Approach via Agent-Mediated Dialogic Inquiry Query2doc: Query Expansion with Large Language Models

Reference 43

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no resolver link, observed 2026-08-08T04:43:15.039226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:43:15.039226Z digest=sha256:6f24082c42a6f28210508ab6abbd2d1792a8342c65fd2db65b12afa33d3ec69c

Observation 05a135c3-7409-4919-b7ce-13901e9b376b · inbound

Foundation Models for Geospatial Reasoning: Assessing Capabilities of Large Language Models in Understanding Geometries and Topological Spatial Relations cites this paper.

Foundation Models for Geospatial Reasoning: Assessing Capabilities of Large Language Models in Understanding Geometries and Topological Spatial Relations Query2doc: Query Expansion with Large Language Models

Reference 103

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no resolver link, observed 2026-08-07T15:08:15.300062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:08:15.300062Z digest=sha256:7e27528d70dd8db5f283699c6f4fb6ce5a3600ec98fae5292e50f6a1d035ff72

Observation 55c86b93-0c43-43da-ae15-009204e8cbfd · 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 Query2doc: Query Expansion with Large Language Models

Reference 31

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no resolver link, observed 2026-08-07T10:38:18.818661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:38:18.818661Z digest=sha256:a7fa9f77c6feabbbadd2c6b20ce20d67e64080726bf437dfce1a6c87511d1148

Observation b0aff62f-4788-463d-bbcf-7108d2f00214 · 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 Query2doc: Query Expansion with Large Language Models

Reference 29

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no resolver link, observed 2026-08-07T10:40:14.789024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:40:14.789024Z digest=sha256:ccf0eae5450b196b9cf088632ec2c86985b0bf1ab317c498973f38cef00d0d9b

Observation 2a414271-ed7f-47a6-85cf-cae4fb413d9f · inbound

SGIC: A Self-Guided Iterative Calibration Framework for RAG cites this paper.

SGIC: A Self-Guided Iterative Calibration Framework for RAG Query2doc: Query Expansion with Large Language Models

Reference 43

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no resolver link, observed 2026-08-06T23:52:44.631268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:52:44.631268Z digest=sha256:28d8adde1acd5c460fd0499ad7eeb60f8e27a910bdea897bd5822a0787a129b3

Observation 972397bb-0e2d-4add-b463-bb80b7c22ca2 · inbound

Harnessing the Power of Reinforcement Learning for Language-Model-Based Information Retriever via Query-Document Co-Augmentation cites this paper.

Harnessing the Power of Reinforcement Learning for Language-Model-Based Information Retriever via Query-Document Co-Augmentation Query2doc: Query Expansion with Large Language Models

Reference 28

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no resolver link, observed 2026-08-06T23:20:34.396029Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:20:34.396029Z digest=sha256:13c5a55a5a85c028437f4b2a8032e1db95b25545d24fa1115b98a8f3e85f3205

Observation b783b09e-0f53-41fe-b9a8-c1563cc6c488 · inbound

KGRAG-Ex: Explainable Retrieval-Augmented Generation with Knowledge Graph-based Perturbations cites this paper.

KGRAG-Ex: Explainable Retrieval-Augmented Generation with Knowledge Graph-based Perturbations Query2doc: Query Expansion with Large Language Models

Reference 13

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no resolver link, observed 2026-08-06T18:24:51.096650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:24:51.096650Z digest=sha256:498c201bff0ccc25a4d62c4a0a62b1ba24158f7ec857bc4e43fe49ea00af2399

Observation e8d7b541-2a41-45bd-ba70-b1ee5a879521 · inbound

Aligned Query Expansion: Efficient Query Expansion for Information Retrieval through LLM Alignment cites this paper.

Aligned Query Expansion: Efficient Query Expansion for Information Retrieval through LLM Alignment Query2doc: Query Expansion with Large Language Models

Reference 28

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no resolver link, observed 2026-08-06T17:24:39.275259Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:24:39.275259Z digest=sha256:704cb4989f0e8b308c20b3e8f3de7fca26c00746a8e2ea1c1fb99a9a0bc05ebf

Observation b32ea2c9-32db-412d-abc9-54be40217af4 · inbound

A Query-Aware Multi-Path Knowledge Graph Fusion Approach for Enhancing Retrieval-Augmented Generation in Large Language Models cites this paper.

A Query-Aware Multi-Path Knowledge Graph Fusion Approach for Enhancing Retrieval-Augmented Generation in Large Language Models Query2doc: Query Expansion with Large Language Models

Reference 27

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no resolver link, observed 2026-08-06T19:48:42.613093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:48:42.613093Z digest=sha256:f61dbdeabf30ed892736c6454901d84c235b37dc7890bd73ed45a6aa685d4533

Observation 695501af-6b85-498f-8092-5bbe0764eeb3 · 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 Query2doc: Query Expansion with Large Language Models

Reference 41

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no resolver link, observed 2026-08-06T05:00:33.618172Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:00:33.618172Z digest=sha256:94db17372c1bc0beaa7b4528f19360f175244d63c60a0ca32cd0946a1ed11f2a

Observation d9f1aa58-2b02-46c2-b3c2-10cbb19a23b3 · 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 Query2doc: Query Expansion with Large Language Models

Reference 25

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no resolver link, observed 2026-08-04T23:23:41.673206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T23:23:41.673206Z digest=sha256:7d0d8fbc1ee8dd30ffd54260cdb898266b25d42d74b8c000d9820fdd3b625591

Observation 0f2a510f-d573-4738-86a7-68dcbece4b38 · 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 Query2doc: Query Expansion with Large Language Models

Reference 107

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arxiv_id, observed 2026-05-18T18:11:42.978997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T18:07:33.612858Z digest=sha256:ecde3f5913039bc4bc931524fd85ff12bf56c8ece785849571ddf2990ac46864

Observation f1ab012c-c4c5-4cb0-98a9-1c17d1ecc5cc · 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 Query2doc: Query Expansion with Large Language Models

Reference 4

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no resolver link, observed 2026-08-04T20:24:55.826823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:24:55.826823Z digest=sha256:63a137d281553e5e1100775445d22dc0f280519790d5a54119e263af0ed85632

Observation de53da71-226a-4130-be90-99950a31dd65 · inbound

A Tale of LLMs and Induced Small Proxies: Scalable Small Language Models for Knowledge Mining cites this paper.

A Tale of LLMs and Induced Small Proxies: Scalable Small Language Models for Knowledge Mining Query2doc: Query Expansion with Large Language Models

Reference 36

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no resolver link, observed 2026-08-04T12:59:02.394704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T12:59:02.394704Z digest=sha256:4dfccae49215eccfa81359ecfed7222187df40d2e9027c1b49167854f2771e7a

Observation 59db3673-45ae-4547-a8e8-b9715348c03b · inbound

LLM-guided Hierarchical Search for End-to-end Reasoning Intensive Retrieval cites this paper.

LLM-guided Hierarchical Search for End-to-end Reasoning Intensive Retrieval Query2doc: Query Expansion with Large Language Models

Reference 26

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no resolver link, observed 2026-08-04T09:50:46.326687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T09:50:46.326687Z digest=sha256:4ed85fa1d8f28ef08438442ad2bbde8558adb7a69e5efee3c6f7de3c7ce80ec8

Observation 0bec95b3-8c98-4e1c-9e62-37b0f85288a4 · inbound

Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems cites this paper.

Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems Query2doc: Query Expansion with Large Language Models

Reference 23

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no resolver link, observed 2026-08-03T15:45:15.587267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:45:15.587267Z digest=sha256:8fceabd263809200ecc7beb7930eebe62548746b3779e315a4de60319969f739

Observation a9272111-ee36-4442-973a-81e9cf951315 · 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 Query2doc: Query Expansion with Large Language Models

Reference 24

Resolution
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arxiv_id, observed 2026-05-16T22:13:36.062180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-16T22:13:09.908378Z digest=sha256:4b3dbd08a9e276cbeea7bb55e4384c23787807f18a17f342f388b262ce4a3d42

Observation b1c67461-2a2e-4527-9fe8-eb54659f0f2a · inbound

MARVEL: Multimodal Adaptive Reasoning-intensiVe Expand-rerank and retrievaL cites this paper.

MARVEL: Multimodal Adaptive Reasoning-intensiVe Expand-rerank and retrievaL Query2doc: Query Expansion with Large Language Models

Reference 33

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arxiv_id, observed 2026-05-11T06:00:58.185939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T17:51:16.675856Z digest=sha256:92f35ddd80bae594a8992e50ae76bc951ff6812035a8ab6df41c81db0441719f

Observation 1dee94a0-b13d-4ab8-8871-0b33c54aee3d · inbound

BRIDGE: Multimodal-to-Text Retrieval via Reinforcement-Learned Query Alignment cites this paper.

BRIDGE: Multimodal-to-Text Retrieval via Reinforcement-Learned Query Alignment Query2doc: Query Expansion with Large Language Models

Reference 41

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arxiv_id, observed 2026-05-11T06:41:58.271751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T17:28:59.838565Z digest=sha256:8d5bb7effbe7e679a7345be0eed4d4df89d25f177c0e3a41f22ec47035e867a8

Observation 9b7350b0-525e-4685-a47f-8389f9261ddd · inbound

PoliLegalLM: A Technical Report on a Large Language Model for Political and Legal Affairs cites this paper.

PoliLegalLM: A Technical Report on a Large Language Model for Political and Legal Affairs Query2doc: Query Expansion with Large Language Models

Reference 21

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arxiv_id, observed 2026-05-10T06:06:19.068968Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-10T06:03:01.460352Z digest=sha256:52aff4abacf52d36a5f79dd84a49023a3f834dd78e13ce173bcfcc02d091c383

Observation 50d44528-bea8-4f5a-b743-f98f184a3e9d · 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 Query2doc: Query Expansion with Large Language Models

Reference 88

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arxiv_id, observed 2026-05-11T20:06:10.359346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T10:18:59.759192Z digest=sha256:5f712bd322f6b4e3c0c5cd274b22cc892b55450b0e476a309547c9e5d15c66f3

Observation 7e789bc3-f90b-4726-8f28-65ca8793acd9 · inbound

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

A Reproducibility Study of LLM-Based Query Reformulation Query2doc: Query Expansion with Large Language Models

Reference 35

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arxiv_id, observed 2026-05-12T09:51:27.836976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-07T09:04:41.641995Z digest=sha256:3c16dd6df05eb380f431b2608ca8f4ecb881619f6c721c3fdc64c7dd7c30c577

Observation ef349207-c2a9-45a1-b58e-113f876a093f · inbound

FitText: Evolving Agent Tool Ecologies via Memetic Retrieval cites this paper.

FitText: Evolving Agent Tool Ecologies via Memetic Retrieval Query2doc: Query Expansion with Large Language Models

Reference 46

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arxiv_id, observed 2026-05-09T06:05:33.779142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-08T19:04:53.639217Z digest=sha256:68afa292b45e7776b75dc2a6352d8a82c18a3ca86279ddac898f2e7948603525

Observation f5d156da-0cba-400e-a4ef-66f18951135d · inbound

FitText: Evolving Agent Tool Ecologies via Memetic Retrieval cites this paper.

FitText: Evolving Agent Tool Ecologies via Memetic Retrieval Query2doc: Query Expansion with Large Language Models

Reference 47

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arxiv_id, observed 2026-07-01T00:45:12.421286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-07-01T00:25:46.507401Z digest=sha256:24a2657245d0a909af9f257c4a87850a607b188dd59225ca407a575811cba1c1

Observation 1f2cf7da-8fa8-46fd-a48f-9ff0ce92537b · inbound

FitText: Evolving Agent Tool Ecologies via Memetic Retrieval cites this paper.

FitText: Evolving Agent Tool Ecologies via Memetic Retrieval Query2doc: Query Expansion with Large Language Models

Reference 47

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no resolver link, observed 2026-08-04T05:24:47.788054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T05:24:47.788054Z digest=sha256:1b76fce32f11dd1710be2fe76ca24887a0672e84e066ee5102656e224d265575

Observation 2866b1dd-15c4-4aea-9c44-c85753464068 · inbound

AgenticRAG: Agentic Retrieval for Enterprise Knowledge Bases cites this paper.

AgenticRAG: Agentic Retrieval for Enterprise Knowledge Bases Query2doc: Query Expansion with Large Language Models

Reference 4

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metadata mismatch
arxiv_id, observed 2026-05-11T19:21:08.664276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-08T12:10:01.748436Z digest=sha256:148a55513ec40b3a76a86c84bd0ab63ccf73d529e506bc2d4a7b658fce047408

Observation 863c828f-7c40-4443-8401-7508fb152b66 · inbound

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

Policy-Grounded Dynamic Facet Suggestions for Job Search Query2doc: Query Expansion with Large Language Models

Reference 33

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arxiv_id, observed 2026-05-19T21:37:47.848853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-19T21:36:48.182204Z digest=sha256:61af482861136e8336de3e3fb754ef1b4bd86f50e03af4256d29de5471563195

Observation 71e3f3ee-d3e2-4e24-bb8e-f7ed323b563b · inbound

RICE-PO: Turning Retrieval Interactions into Credit Signals for Reasoning Agents cites this paper.

RICE-PO: Turning Retrieval Interactions into Credit Signals for Reasoning Agents Query2doc: Query Expansion with Large Language Models

Reference 27

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arxiv_id, observed 2026-06-29T21:43:59.802759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-29T21:24:11.882268Z digest=sha256:796d85a2c3181ac69178b75da64cf76079682ae115ba9b2a5c8ceae180ed7586

Observation 0ce64bba-9438-404d-830b-44850d33b44f · inbound

RICE-PO: Turning Retrieval Interactions into Credit Signals for Reasoning Agents cites this paper.

RICE-PO: Turning Retrieval Interactions into Credit Signals for Reasoning Agents Query2doc: Query Expansion with Large Language Models

Reference 27

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no resolver link, observed 2026-08-04T05:01:26.138967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:01:26.138967Z digest=sha256:19ffe257a4fa395582a3d98cbb5017859b11d66e4410ed102ed40afb8b5049b2

Observation f87d295c-9771-4e90-958e-b78b9ff64bc6 · inbound

Designing Reward Signals for Portable Query Generation: A Case Study in Industrial Semantic Job Search cites this paper.

Designing Reward Signals for Portable Query Generation: A Case Study in Industrial Semantic Job Search Query2doc: Query Expansion with Large Language Models

Reference 33

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arxiv_id, observed 2026-07-04T13:29:51.667383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T05:10:59.825246Z digest=sha256:4b0a76c1a6af242259fdbd25d505972994e867391a5d442f4d67ca3a57b76e92

Observation 44c4eeea-37cf-4242-9fbd-ad4e79cb611a · inbound

R$^2$-Searcher: Calibrating Retrieval and Reasoning Boundaries for Agentic Search cites this paper.

R$^2$-Searcher: Calibrating Retrieval and Reasoning Boundaries for Agentic Search Query2doc: Query Expansion with Large Language Models

Reference 45

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arxiv_id, observed 2026-06-30T00:34:05.175499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T00:33:59.778294Z digest=sha256:af746ab5ad4ee596de4ca1045cf952c0e1ebb84dbe57e927307b64a4d9d21b86

Observation fa6f1ca1-1550-4472-8d8c-7882b1d3721a · inbound

SearchOS-V1: Towards Robust Open-Domain Information-Seeking Agent Collaboration cites this paper.

SearchOS-V1: Towards Robust Open-Domain Information-Seeking Agent Collaboration Query2doc: Query Expansion with Large Language Models

Reference 82

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no resolver link, observed 2026-08-01T23:46:24.319817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T23:46:24.319817Z digest=sha256:bb47a3d8b58e53c04af5d19aa10b50a8824688ab380bf1883535a0ff122e4cd5