Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-18T07:39:58.366423Z
Paper Citation Record · LEDGER
Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps
As of 4 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 48 inbound Pith citation observations for arXiv:2011.01060.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T21:38:56.042227Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-11T03:17:50.841893Z
Reference resolution
15 of 15 outbound references displayed
- verified exact1
- verified fuzzy8
- unresolved4
- parse uncertain0
- malformed identifier0
- metadata mismatch2
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation b36a629a-3b0f-4c30-bbd9-ae4fa763a8e7 · outbound
This paper cites In Proceedings of the 1993 ACM SIGMOD International Conference on Management of Data, SIGMOD ’93, page 207–216, New York, NY , USA.
Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps In Proceedings of the 1993 ACM SIGMOD International Conference on Management of Data, SIGMOD ’93, page 207–216, New York, NY , USA
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-18T07:39:58.446622Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7432c0d9-f441-4f71-bf49-e932fe90b9f0 · outbound
This paper cites In Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing , pages 1533–1544, Seattle, Washington, USA, October.
Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps In Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing , pages 1533–1544, Seattle, Washington, USA, October
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-18T07:39:58.453648Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 99b0b215-057c-451f-94e2-d0cca7acc3e1 · outbound
This paper cites Large-scale Simple Question Answering with Memory Networks.
Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps Large-scale Simple Question Answering with Memory Networks
Reference 3
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-18T07:39:58.399296Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9df89687-67e3-4778-8798-3decd40b9cc9 · outbound
This paper cites an unresolved cited work.
Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps Unresolved cited work
Reference 4
- Resolution
- unresolved
- raw_fallback, observed 2026-05-18T07:39:58.457160Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8b5b711c-46c3-41b4-946f-a7fd4c879c23 · outbound
This paper cites HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data.
Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T07:39:58.388251Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 552106ad-af2d-481e-8349-27bae1bc1adb · outbound
This paper cites an unresolved cited work.
Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps Unresolved cited work
Reference 6
- Resolution
- unresolved
- raw_fallback, observed 2026-05-18T07:39:58.410989Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7a87f1b8-3a3e-4485-86e7-8d24c8a0541a · outbound
This paper cites In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers , pages 2956–2965, Osaka, Japan, December.
Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers , pages 2956–2965, Osaka, Japan, December
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-18T07:39:58.416128Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c076e7a4-fb88-4667-a4fe-3aeaeca42fdf · outbound
This paper cites In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, pages 2021–2031, Copenhagen, Denmark, September.
Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, pages 2021–2031, Copenhagen, Denmark, September
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-18T07:39:58.421682Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2329a960-8cb7-4f8a-8101-57f7deb6abee · outbound
This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.
Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps RoBERTa: A Robustly Optimized BERT Pretraining Approach
Reference 9
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-18T07:39:58.406542Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4e3d2b22-2778-40bc-961b-99321182a240 · outbound
This paper cites In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, pages 2383–2392, Austin, Texas, November.
Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, pages 2383–2392, Austin, Texas, November
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-18T07:39:58.426466Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 45f0188f-60ca-4dbc-8da8-c4d64668043e · outbound
This paper cites In Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, pages 1088–1098, Cambridge, MA, October.
Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps In Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, pages 1088–1098, Cambridge, MA, October
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-18T07:39:58.431050Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 70991d22-2845-4549-9c7c-e4999d799c4c · outbound
This paper cites Association for Computational Linguistics.
Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps Association for Computational Linguistics
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-18T07:39:58.434892Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4da38f82-70cc-4859-9f23-aa44603f3a31 · outbound
This paper cites an unresolved cited work.
Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps Unresolved cited work
Reference 13
- Resolution
- unresolved
- raw_fallback, observed 2026-05-18T07:39:58.438862Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6bcf5f79-439d-490a-9bf2-a5433923ad3c · outbound
This paper cites In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing , pages 2369–2380, Brussels, Belgium, October-November.
Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing , pages 2369–2380, Brussels, Belgium, October-November
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-18T07:39:58.442595Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ad1860ed-25b2-4403-89d6-0d2c59d374c8 · outbound
This paper cites an unresolved cited work.
Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps Unresolved cited work
Reference 15
- Resolution
- unresolved
- raw_fallback, observed 2026-05-18T07:39:58.450122Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Pith citing papers
Observation ae5eec23-4273-41eb-9d42-1e5ef63d67eb · inbound
Retrieval-Augmented Generation for Large Language Models: A Survey cites this paper.
Retrieval-Augmented Generation for Large Language Models: A Survey Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps
Reference 119
- Resolution
- verified exact
- local_arxiv, observed 2026-05-24T05:13:57.263558Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation dd0020fb-070e-4471-8847-de50cade18db · inbound
ZeroSearch: Incentivize the Search Capability of LLMs without Searching cites this paper.
ZeroSearch: Incentivize the Search Capability of LLMs without Searching Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T07:39:58.458269Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d28a5430-c1ac-4c5e-8573-a16d1fc5e446 · inbound
ZeroSearch: Incentivize the Search Capability of LLMs without Searching cites this paper.
ZeroSearch: Incentivize the Search Capability of LLMs without Searching Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T16:06:45.837584Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3d86b65a-ddb7-49e1-992b-ec0509af1c5d · inbound
Group-in-Group Policy Optimization for LLM Agent Training cites this paper.
Group-in-Group Policy Optimization for LLM Agent Training Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps
Reference 66
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T07:39:58.458269Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 80f108ca-f080-49c1-9fb5-deb496e9de7a · inbound
Mixture-of-Retrieval Experts for Reasoning-Guided Multimodal Knowledge Exploitation cites this paper.
Mixture-of-Retrieval Experts for Reasoning-Guided Multimodal Knowledge Exploitation Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps
Reference 17
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T13:52:19.986230Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation da03794f-a6c1-433d-a9b3-e7bf9a975659 · inbound
From Standalone LLMs to Integrated Intelligence: A Survey of Compound Al Systems cites this paper.
From Standalone LLMs to Integrated Intelligence: A Survey of Compound Al Systems Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps
Reference 56
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T11:52:16.266090Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 43168c99-88ac-4736-9b1b-7433bd3e196b · inbound
Erase to Improve: Erasable Reinforcement Learning for Search-Augmented LLMs cites this paper.
Erase to Improve: Erasable Reinforcement Learning for Search-Augmented LLMs Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps
Reference 21
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T11:11:18.210123Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b003c741-9e5f-46c9-88f4-8ef24f77c6b4 · inbound
Question-Adaptive Graph Learning for Multi-hop Retrieval Augmented Generation cites this paper.
Question-Adaptive Graph Learning for Multi-hop Retrieval Augmented Generation Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T07:39:58.458269Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a98880f0-e466-4bcf-984d-e1e9c9050839 · inbound
EvolveR: Self-Evolving LLM Agents through an Experience-Driven Lifecycle cites this paper.
EvolveR: Self-Evolving LLM Agents through an Experience-Driven Lifecycle Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T07:39:58.458269Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2cabc30a-8a71-4219-a5ee-ae8465f18a02 · inbound
EvolveR: Self-Evolving LLM Agents through an Experience-Driven Lifecycle cites this paper.
EvolveR: Self-Evolving LLM Agents through an Experience-Driven Lifecycle Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps
Reference 33
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T20:50:36.439332Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9e879b36-c0bc-45f1-9f7b-7eccd5082b8e · inbound
Sharpness-Guided Group Relative Policy Optimization via Probability Shaping cites this paper.
Sharpness-Guided Group Relative Policy Optimization via Probability Shaping Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps
Reference 13
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-18T07:39:58.458269Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 461e1e52-7266-457c-a79f-6bfbbb36bcac · inbound
MemSearcher: Training LLMs to Reason, Search and Manage Memory via End-to-End Reinforcement Learning cites this paper.
MemSearcher: Training LLMs to Reason, Search and Manage Memory via End-to-End Reinforcement Learning Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T07:39:58.458269Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0e924b27-a3d9-4b1d-961a-a6bb325df8f7 · inbound
MiroThinker: Pushing the Performance Boundaries of Open-Source Research Agents via Model, Context, and Interactive Scaling cites this paper.
MiroThinker: Pushing the Performance Boundaries of Open-Source Research Agents via Model, Context, and Interactive Scaling Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps
Reference 40
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T07:39:58.458269Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9be4fa95-cb86-4366-bc53-2f5f809e3e78 · inbound
Agent-R1: A Unified and Modular Framework for Agentic Reinforcement Learning cites this paper.
Agent-R1: A Unified and Modular Framework for Agentic Reinforcement Learning Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T21:38:56.042227Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bee7e3bc-b35a-4479-97aa-965fc489d581 · inbound
LocalSearchBench: Benchmarking Agentic Search in Real-World Local Life Services cites this paper.
LocalSearchBench: Benchmarking Agentic Search in Real-World Local Life Services Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T18:00:21.132323Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c98c48de-7d5b-41cb-a0df-86cef427f83a · inbound
AutoTool: Dynamic Tool Selection and Integration for Agentic Reasoning cites this paper.
AutoTool: Dynamic Tool Selection and Integration for Agentic Reasoning Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T16:30:38.105728Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f322f208-5048-4895-9dba-2754ff805845 · 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 Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T15:45:17.483759Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7e9f187f-9e0d-4882-8e7a-cff50d3c057c · inbound
Attention Sink Forges Native MoE in Attention Layers: Sink-Aware Training to Address Head Collapse cites this paper.
Attention Sink Forges Native MoE in Attention Layers: Sink-Aware Training to Address Head Collapse Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T07:39:58.458269Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 44943469-5037-495a-9788-3dac570e3991 · inbound
Attention Sink Forges Native MoE in Attention Layers: Sink-Aware Training to Address Head Collapse cites this paper.
Attention Sink Forges Native MoE in Attention Layers: Sink-Aware Training to Address Head Collapse Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T05:50:23.846039Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 40674f8f-a68f-4f4f-8132-81250b5f2863 · inbound
Adaptive Information Control for Search-Augmented LLM Reasoning cites this paper.
Adaptive Information Control for Search-Augmented LLM Reasoning Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T05:39:27.537439Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ccecdd0d-125a-4631-a6ce-5cd4740c5371 · inbound
DeepResearch-9K: A Challenging Benchmark Dataset of Deep-Research Agent cites this paper.
DeepResearch-9K: A Challenging Benchmark Dataset of Deep-Research Agent Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T19:46:38.547858Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 956d9de2-e2f6-47ee-bd88-f3450e643a6b · inbound
MSA: Memory Sparse Attention for Efficient End-to-End Memory Model Scaling to 100M Tokens cites this paper.
MSA: Memory Sparse Attention for Efficient End-to-End Memory Model Scaling to 100M Tokens Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T07:39:58.458269Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8fc202cb-85db-4836-96c9-7cbe4707b7b6 · inbound
Optimizing RAG Rerankers with LLM Feedback via Reinforcement Learning cites this paper.
Optimizing RAG Rerankers with LLM Feedback via Reinforcement Learning Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T13:59:01.287449Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2b25c39b-d3e0-4bbb-9739-9083f855146b · inbound
OASES: Outcome-Aligned Search-Evaluation Co-Training for Agentic Search cites this paper.
OASES: Outcome-Aligned Search-Evaluation Co-Training for Agentic Search Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps
Reference 8
- Resolution
- verified exact
- orphan_title_repair, observed 2026-05-18T07:39:58.458269Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3eacbc76-875d-4df7-ac24-333baa2b351a · inbound
Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems cites this paper.
Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T07:39:58.458269Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a446c81c-b306-4b3f-9e82-29d563975943 · inbound
Transforming External Knowledge into Triplets for Enhanced Retrieval in RAG of LLMs cites this paper.
Transforming External Knowledge into Triplets for Enhanced Retrieval in RAG of LLMs Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps
Reference 51
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T07:39:58.458269Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0c1ea5b9-cf19-424e-86ff-6ea1ba61678e · inbound
HeadRank: Decoding-Free Passage Reranking via Preference-Aligned Attention Heads cites this paper.
HeadRank: Decoding-Free Passage Reranking via Preference-Aligned Attention Heads Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps
Reference 32
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-18T07:39:58.458269Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b437cd33-2d0b-4b5e-b03a-e836aeba4b31 · inbound
MemSearch-o1: Empowering Large Language Models with Reasoning-Aligned Memory Growth in Agentic Search cites this paper.
MemSearch-o1: Empowering Large Language Models with Reasoning-Aligned Memory Growth in Agentic Search Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps
Reference 31
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-18T07:39:58.458269Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 46c4525e-fb01-4b87-9bc9-ff19219d2ba7 · inbound
EHRAG: Bridging Semantic Gaps in Lightweight GraphRAG via Hybrid Hypergraph Construction and Retrieval cites this paper.
EHRAG: Bridging Semantic Gaps in Lightweight GraphRAG via Hybrid Hypergraph Construction and Retrieval Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps
Reference 5
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-18T07:39:58.458269Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5a18daf1-b189-4fb4-9b8c-256aee05d83b · inbound
AtomicRAG: Atom-Entity Graphs for Retrieval-Augmented Generation cites this paper.
AtomicRAG: Atom-Entity Graphs for Retrieval-Augmented Generation Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T07:39:58.458269Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 71898f25-1322-4658-9064-4eab9dabec81 · inbound
Reformulating KV Cache Eviction Problem for Long-Context LLM Inference cites this paper.
Reformulating KV Cache Eviction Problem for Long-Context LLM Inference Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T07:39:58.458269Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 34be19f9-2c42-48e1-bc6d-cf50ad4c0d76 · inbound
Query Symbolically or Retrieve Semantically? A Dataset and Method for Semi-Structured Question Answering cites this paper.
Query Symbolically or Retrieve Semantically? A Dataset and Method for Semi-Structured Question Answering Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps
Reference 19
- Resolution
- verified exact
- local_arxiv, observed 2026-06-29T17:13:44.963412Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 840b8620-2233-4ff9-b976-b6626e99a153 · inbound
MoG: Mixture of Experts for Graph-based Retrieval-Augmented Generation cites this paper.
MoG: Mixture of Experts for Graph-based Retrieval-Augmented Generation Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T19:36:08.106342Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 922a8a2a-aefe-4b32-a77a-6bb10bdbfe9a · inbound
MemGraphRAG: Memory-based Multi-Agent System for Graph Retrieval-Augmented Generation cites this paper.
MemGraphRAG: Memory-based Multi-Agent System for Graph Retrieval-Augmented Generation Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps
Reference 27
- Resolution
- verified exact
- local_arxiv, observed 2026-06-28T20:42:37.996504Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e3366a89-d66a-4fe9-8fb0-8e132299b4a6 · inbound
Efficient RAG with Intent-Aware Retrieval and Semantics-Preserving Chunking cites this paper.
Efficient RAG with Intent-Aware Retrieval and Semantics-Preserving Chunking Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps
Reference 34
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-01T20:56:13.837176Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 76007fe2-3744-45f9-827d-38802c53fbe5 · inbound
Policy and World Modeling Co-Training for Language Agents cites this paper.
Policy and World Modeling Co-Training for Language Agents Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps
Reference 52
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-01T22:06:17.178935Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 155c6d3f-b9e7-43e3-a831-2cd7182b4323 · inbound
QCFuse: Query-Aware Cache Fusion via Compressed View for Efficient RAG Serving cites this paper.
QCFuse: Query-Aware Cache Fusion via Compressed View for Efficient RAG Serving Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps
Reference 22
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T12:46:57.465624Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 42bded46-782b-4d79-9915-8adf1c24620f · inbound
Selection Integrity for LLM Graph Memory: An Accumulability Criterion for Information-Flow-Blind Retrieval cites this paper.
Selection Integrity for LLM Graph Memory: An Accumulability Criterion for Information-Flow-Blind Retrieval Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps
Reference 31
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T11:58:06.265956Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1fb04bc6-912e-4048-9266-453a5115a3d8 · inbound
Agents-K1: Towards Agent-native Knowledge Orchestration cites this paper.
Agents-K1: Towards Agent-native Knowledge Orchestration Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps
Reference 15
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T15:18:33.948394Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c6885ddd-dfcd-44ff-895b-b47c24e904d8 · inbound
Agents-K1: Towards Agent-native Knowledge Orchestration cites this paper.
Agents-K1: Towards Agent-native Knowledge Orchestration Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps
Reference 15
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T11:24:38.430155Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f1300452-95d2-46e2-a638-26489191cced · inbound
Agents-K1: Towards Agent-native Knowledge Orchestration cites this paper.
Agents-K1: Towards Agent-native Knowledge Orchestration Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T11:40:44.791538Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0d3a9853-1de3-4856-88e9-53f07e45e6cb · inbound
FlowRAG: Synergizing Explicit Reasoning via Frequency-Aware Multi-Granularity Graph Flow cites this paper.
FlowRAG: Synergizing Explicit Reasoning via Frequency-Aware Multi-Granularity Graph Flow Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps
Reference 20
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-03T21:28:58.887483Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 21d41ae4-e7c1-4b7a-90ad-7ded4e39e8af · 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 Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps
Reference 11
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T00:34:05.227281Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ede3a1b8-1754-4d9b-aea1-d9301445b575 · inbound
STAPO: Selective Trajectory-Aware Policy Optimization for LLM Agent Training cites this paper.
STAPO: Selective Trajectory-Aware Policy Optimization for LLM Agent Training Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps
Reference 89
- Resolution
- unresolved
- no resolver link, observed 2026-07-11T10:50:54.419477Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 472c4520-63b8-4094-9577-a4ce9154dbf7 · inbound
Retrieving a Set, Not Independent Passages: Set-Level Compatibility Learning for Efficient Set Exploration cites this paper.
Retrieving a Set, Not Independent Passages: Set-Level Compatibility Learning for Efficient Set Exploration Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-07-11T03:17:50.867183Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 04829529-6ee2-487f-bc6f-849892b168f8 · inbound
UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp cites this paper.
UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T10:51:16.019022Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 435da1a2-d03b-4139-a24d-6d6fb00a3ecf · inbound
Shapley Context Pruning: A Cooperative Game Perspective for Context Reranking and Pruning cites this paper.
Shapley Context Pruning: A Cooperative Game Perspective for Context Reranking and Pruning Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T14:32:13.855193Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a74b787b-e60c-4ba7-88e0-0eee59648c1b · inbound
From Outcomes to Actions: Leveraging Hindsight for Long-Horizon Language Agent Training cites this paper.
From Outcomes to Actions: Leveraging Hindsight for Long-Horizon Language Agent Training Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T09:45:49.539339Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.