Paper Citation Record · LEDGER

Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps

As of 23 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 90 inbound Pith citation observations for arXiv:2011.01060.

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

pith.paper-citation-record.v1
2011.01060 v2

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-18T07:39:58.366423Z

measured 105 of 105 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 90 of 90 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:18:44.136454Z

measured 0 of 1 external citation measurements

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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+00:00.

Observation b575b6ef-4675-4025-bea6-114e200c6a41 · inbound

Probing the Capacity of Language Model Agents to Operationalize Disparate Experiential Context Despite Distraction cites this paper.

Probing the Capacity of Language Model Agents to Operationalize Disparate Experiential Context Despite Distraction Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T17:12:27.462350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9cd2e587-5741-423b-8238-216849f4d0be · inbound

Zero-Indexing Internet Search Augmented Generation for Large Language Models cites this paper.

Zero-Indexing Internet Search Augmented Generation for Large Language Models Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-12T10:12:54.206055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85512ca1-b096-4e75-a4e7-4dcf9e2c5833 · inbound

More Tokens, Lower Precision: Towards the Optimal Token-Precision Trade-off in KV Cache Compression cites this paper.

More Tokens, Lower Precision: Towards the Optimal Token-Precision Trade-off in KV Cache Compression Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T13:52:48.682753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c2523c9-da3f-473d-b5f0-af0c55d4f7bb · inbound

Review-Then-Refine: A Dynamic Framework for Multi-Hop Question Answering with Temporal Adaptability cites this paper.

Review-Then-Refine: A Dynamic Framework for Multi-Hop Question Answering with Temporal Adaptability Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T11:41:21.222983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04c5b463-0714-4264-a42a-5631638fdc3a · inbound

MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge cites this paper.

MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T05:55:14.664341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68a679ee-d8cb-40d6-b0c2-64c22fdd4820 · inbound

PIKE-RAG: sPecIalized KnowledgE and Rationale Augmented Generation cites this paper.

PIKE-RAG: sPecIalized KnowledgE and Rationale Augmented Generation Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T18:13:08.533733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e52b249a-740e-4685-9fd1-f4255a219cc3 · inbound

Task-KV: Task-aware KV Cache Optimization via Semantic Differentiation of Attention Heads cites this paper.

Task-KV: Task-aware KV Cache Optimization via Semantic Differentiation of Attention Heads Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-10T14:41:05.112914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90c8e3d9-7f28-4b28-ace2-fee368a1be7c · inbound

Parametric Retrieval Augmented Generation cites this paper.

Parametric Retrieval Augmented Generation Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T13:55:03.963226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 819165ce-9185-4f63-90b9-ad869203cfcd · inbound

CryptoX : Compositional Reasoning Evaluation of Large Language Models cites this paper.

CryptoX : Compositional Reasoning Evaluation of Large Language Models Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-08T18:34:26.724372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6874ff6-3ed3-4ca9-a573-0dea88361b3d · inbound

Synergizing RAG and Reasoning: A Systematic Review cites this paper.

Synergizing RAG and Reasoning: A Systematic Review Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-16T11:18:44.136454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d83ef06d-d7e7-487b-a580-ca0e2ed29e3f · inbound

Even Small Reasoners Should Quote Their Sources: Introducing the Pleias-RAG Model Family cites this paper.

Even Small Reasoners Should Quote Their Sources: Introducing the Pleias-RAG Model Family Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T10:25:14.848855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+00:00.

Observation 9e8994a4-5f6c-4f8e-b65c-761b0d3809f3 · inbound

Detection and Mitigation of Hallucination in Large Reasoning Models: A Mechanistic Perspective cites this paper.

Detection and Mitigation of Hallucination in Large Reasoning Models: A Mechanistic Perspective Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T20:28:18.991105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a671e0c-9e19-4301-8e17-06234cd5b2c1 · inbound

Visual Agentic Reinforcement Fine-Tuning cites this paper.

Visual Agentic Reinforcement Fine-Tuning Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:26.224356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5d7070d-1e11-4d88-a629-25d2cce2a0fa · inbound

Log-Augmented Generation: Scaling Test-Time Reasoning with Reusable Computation cites this paper.

Log-Augmented Generation: Scaling Test-Time Reasoning with Reusable Computation Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T15:41:09.825922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9d38361-37fb-49af-8833-aa69ee60a63a · inbound

InfoDeepSeek: Benchmarking Agentic Information Seeking for Retrieval-Augmented Generation cites this paper.

InfoDeepSeek: Benchmarking Agentic Information Seeking for Retrieval-Augmented Generation Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T15:19:15.233813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 215e9b38-a1b0-4bc7-9897-9dd826d031a4 · inbound

O$^2$-Searcher: A Searching-based Agent Model for Open-Domain Open-Ended Question Answering cites this paper.

O$^2$-Searcher: A Searching-based Agent Model for Open-Domain Open-Ended Question Answering Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T15:01:47.840206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8fd37d16-3671-4b6d-ac6b-9315399543ae · inbound

GainRAG: Preference Alignment in Retrieval-Augmented Generation through Gain Signal Synthesis cites this paper.

GainRAG: Preference Alignment in Retrieval-Augmented Generation through Gain Signal Synthesis Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T14:30:53.778386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-22T06:32:14.747728+00:00.

Observation 355a31a2-51be-473f-8173-2ca586c76456 · inbound

EvolveSearch: An Iterative Self-Evolving Search Agent cites this paper.

EvolveSearch: An Iterative Self-Evolving Search Agent Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T13:12:56.299421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34e9275a-2a5e-4599-a125-4aa3579187e3 · inbound

WebDancer: Towards Autonomous Information Seeking Agency cites this paper.

WebDancer: Towards Autonomous Information Seeking Agency Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-07T13:09:04.990968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6918372-803c-41a9-981e-114b841b3793 · inbound

Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning cites this paper.

Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:16.677572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a6544ff-3691-471b-98e4-9a9173de2af9 · inbound

ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering cites this paper.

ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T12:12:50.772066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-22T06:32:14.747728+00:00.

Observation 16979356-ba25-461f-81cb-6f5e52cc047e · inbound

Reinforcement Fine-Tuning for Reasoning towards Multi-Step Multi-Source Search in Large Language Models cites this paper.

Reinforcement Fine-Tuning for Reasoning towards Multi-Step Multi-Source Search in Large Language Models Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T05:20:04.556573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c57f8f76-13b3-4a30-8ae8-34c19beb42a6 · inbound

Maximally-Informative Retrieval for State Space Model Generation cites this paper.

Maximally-Informative Retrieval for State Space Model Generation Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T01:03:45.256425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b61b70dd-269d-46bb-8ae5-58921b341781 · inbound

Deep Research Agents: A Systematic Examination And Roadmap cites this paper.

Deep Research Agents: A Systematic Examination And Roadmap Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T23:26:56.655749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 741dd78a-e701-4532-96fa-7b09cd18633c · inbound

Agent-as-Tool: A Study on the Hierarchical Decision Making with Reinforcement Learning cites this paper.

Agent-as-Tool: A Study on the Hierarchical Decision Making with Reinforcement Learning Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T20:55:09.044949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7efa4012-cfc2-4164-a482-b47b391bd626 · inbound

HedraRAG: Coordinating LLM Generation and Database Retrieval in Heterogeneous RAG Serving cites this paper.

HedraRAG: Coordinating LLM Generation and Database Retrieval in Heterogeneous RAG Serving Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T18:08:31.529044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2535f612-6327-41e0-aad9-08445c68fd72 · inbound

RAVine: Reality-Aligned Evaluation for Agentic Search cites this paper.

RAVine: Reality-Aligned Evaluation for Agentic Search Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T15:08:29.947160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7aa075bc-2c36-413a-8e52-3d98c125f4a6 · inbound

From Ranking to Selection: A Simple but Efficient Dynamic Passage Selector for Retrieval Augmented Generation cites this paper.

From Ranking to Selection: A Simple but Efficient Dynamic Passage Selector for Retrieval Augmented Generation Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T21:01:54.268174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e79197a4-5345-4fe4-8716-3f031433b673 · inbound

SSRL: Self-Search Reinforcement Learning cites this paper.

SSRL: Self-Search Reinforcement Learning Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-05T20:17:09.215321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98002a85-c5cf-4f65-ab05-e125803d4274 · inbound

Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward cites this paper.

Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T19:21:48.746644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b85af062-d1d0-499d-b050-0154e419afa7 · inbound

Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL cites this paper.

Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T23:57:32.528248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a2b7885-43c1-4ae6-8006-a6aaf04d1a96 · inbound

Explicit v.s. Implicit Memory: Exploring Multi-hop Complex Reasoning Over Personalized Information cites this paper.

Explicit v.s. Implicit Memory: Exploring Multi-hop Complex Reasoning Over Personalized Information Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T17:23:27.961276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94d2e65e-c47d-4cd9-a324-766b641c7266 · inbound

Retrieval Feedback Memory Enhancement Large Model Retrieval Generation Method cites this paper.

Retrieval Feedback Memory Enhancement Large Model Retrieval Generation Method Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T16:50:55.639018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb4010de-50f8-43f7-be0b-e937c1cc50c6 · inbound

Youtu-GraphRAG: Vertically Unified Agents for Graph Retrieval-Augmented Complex Reasoning cites this paper.

Youtu-GraphRAG: Vertically Unified Agents for Graph Retrieval-Augmented Complex Reasoning Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T15:29:57.366013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df384e68-eb04-4108-971d-c394512442a0 · inbound

Open Data Synthesis For Deep Research cites this paper.

Open Data Synthesis For Deep Research Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T13:45:11.820398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2508cad-2f92-408d-98d6-4eee797ec5a1 · inbound

PagedEviction: Structured Block-wise KV Cache Pruning for Efficient Large Language Model Inference cites this paper.

PagedEviction: Structured Block-wise KV Cache Pruning for Efficient Large Language Model Inference Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-05T10:16:13.070949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88d67d04-10e9-4b9e-91fb-5cbfd1af2c05 · inbound

EvolKV: Evolutionary KV Cache Compression for LLM Inference cites this paper.

EvolKV: Evolutionary KV Cache Compression for LLM Inference Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T20:53:28.604509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59ce93f3-c8e8-4245-86b5-a06d6cbc2b90 · inbound

BRoverbs -- Measuring how much LLMs understand Portuguese proverbs cites this paper.

BRoverbs -- Measuring how much LLMs understand Portuguese proverbs Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T19:58:53.792689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a1376b0-98e0-453f-9a7b-6f45d307f65a · inbound

Harnessing Uncertainty: Entropy-Modulated Policy Gradients for Long-Horizon LLM Agents cites this paper.

Harnessing Uncertainty: Entropy-Modulated Policy Gradients for Long-Horizon LLM Agents Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T19:28:57.112469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f9bd869-8670-4d95-b032-6ec5bd7a3aa5 · inbound

Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs cites this paper.

Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T17:57:52.365586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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.

Observation 0ab5ee6d-5006-4113-bf0c-2aafd94fb84c · inbound

MemOPD: On-Policy Distillation through Memory State Alignment for Long-Horizon Agents cites this paper.

MemOPD: On-Policy Distillation through Memory State Alignment for Long-Horizon Agents Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-10T15:27:03.040495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf81d290-3523-4c20-b077-1c4ee61a10b0 · inbound

Interpreting Language Model Hidden States at Scale cites this paper.

Interpreting Language Model Hidden States at Scale Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-14T04:16:16.879794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.