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Paper Citation Record · LEDGER

Query2doc: Query Expansion with Large Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 36 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 36 of 36 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 36 of 36 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T18:40:39.684196Z

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

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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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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-23T06:31:03.045214Z digest=sha256:774cfc6c54b402bf93fdbaa6881a54c5a91a4f977fe2e61d656831ebe6f14cd8

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T17:36:27.515468Z digest=sha256:4807f5a4756e9a3f4f2c4fc6a273945404ee6ea98d44c489b279a39574cc657f

Observation 34e0a85d-279b-4e33-9906-c4dacf4cb17e · inbound

Detecting Ambiguities to Guide Query Rewrite for Robust Conversations in Enterprise AI Assistants cites this paper.

Detecting Ambiguities to Guide Query Rewrite for Robust Conversations in Enterprise AI Assistants Query2doc: Query Expansion with Large Language Models

Reference 24

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no resolver link, observed 2026-08-09T18:40:39.684196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T18:40:39.684196Z digest=sha256:902a071c8415053fffe4cc20c92f7e20f9dc7e7b73b3da5942dfd609b9cdec6e

Observation ec25b96a-2026-4c4c-94fb-69b31ff8f1c2 · inbound

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation cites this paper.

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation Query2doc: Query Expansion with Large Language Models

Reference 76

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no resolver link, observed 2026-08-09T05:31:14.448254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T05:31:14.448254Z digest=sha256:e49c78d3a9cbf4d5e5aa9a93907d4dc2e84bde41255c1e97851096c5050bf77d

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=sha256:9104d1ba39ad62e123891b70a6f7b893a3c5287488413226dd06e3f1a6621a05

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=sha256:58f3f94594c6c7c410021709464a1d7f3db5b5a9f36a783e2e6b3607084a4c92

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

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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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:40:14.789024Z digest=sha256:3df63e2a578c66e17a2b77d2aa300fb6fb298a41dc032a1d6ae56afec8d78b5e

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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source=pdf_text observed=2026-08-06T23:20:34.396029Z digest=sha256:16d35322db8931979c36d9537e35721e0e8e45079fa1eb65a173b081afccce45

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

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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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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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:48:42.613093Z digest=sha256:ef1e20abb2fe577d641dfeed036f1a3c44913375e6374598ce2fdee8454fefb1

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

Source-reported events for the cited work

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T23:23:41.673206Z digest=sha256:1b7551f0287993967c9615950c6f0a2a618285aaea0beda9c0f7825bddaf3be0

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-18T18:07:33.612858Z digest=sha256:62f9c1c24dc49d3f22f81fb6467da0e1df5871a4325cb656e288d8acb39713a4

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:24:55.826823Z digest=sha256:b65480996ab4ee7232182b922a644fd83b4141bf8fe4126127b1df5490627299

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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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

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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:ac51f756388722b9f91e233520934d89d19a3438a063405baf8e7b6ab7cc7153

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-16T22:13:09.908378Z digest=sha256:f19cb0d9119ce7a407d8470a444d7dd112d14e80278bc2046ae38443b0031d7b

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

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T17:51:16.675856Z digest=sha256:bd6d2ee924e0c6c8120d46bd3a5872fd62e1d2ee35bdf8707536410a16bccf3c

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T17:28:59.838565Z digest=sha256:34e07e0fcb60e3866f9440a4a3ee180513abcc79876c08eebcb82aa50aeddd95

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-10T06:03:01.460352Z digest=sha256:9c6dba4c80bce972e3693cf82f466ee1869383f243a461add044a7d232dbb088

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

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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=sha256:1e5ca1210f8d1ee3524eed98253cd34644d1a3948b7bb6775921b37fdf6bc264

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-07T09:04:41.641995Z digest=sha256:a8aa10143b31ffb7ae2ea4a70ef741774cffe2da7bda842ad495ca47e1089e12

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

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-08T19:04:53.639217Z digest=sha256:6b9c58de8ca32da6bbb517240adb0b89e570e5dd600a1414f333d45d416e1806

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-01T00:25:46.507401Z digest=sha256:a3aafce7b21cebc03891319dc70d01d49b6c7b3f2422011a8cd881fdcd8321e9

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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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-08T12:10:01.748436Z digest=sha256:704278e0f82a0e6f598ba8d1f1cde6fc40f2df8d877b9038a9bb70d9d2d3535a

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T21:36:48.182204Z digest=sha256:04e0a609e322daa50c4fd291f44e4f1a8fa48448c3c1d397c56a354adcd128b5

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

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T21:24:11.882268Z digest=sha256:bc6d5421ce815cff74859d8db18d03d158441a0a1256231e507d3a412bad6747

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:01:26.138967Z digest=sha256:f4272354ba135d5d9e3fdfe848156ff8b338ee52a66e66d0900f26b79f3d7f8f

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T05:10:59.825246Z digest=sha256:22133349828c8a722d3dba89ba59aced35bee6e8fce9007d2a401375654e5cc0

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

Resolution
verified exact
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T00:33:59.778294Z digest=sha256:c9df6393b364c3ea39f8fdd123b13924109575e0ab8826ba97ee41b48ed0f0f3

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

Resolution
unresolved
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