Paper Citation Record · LEDGER

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

As of 13 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 4 inbound Pith citation observations for arXiv:2412.17032.

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

pith.paper-citation-record.v1
2412.17032 v3

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:55:14.902112Z

measured 61 of 61 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:19:14.992316Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

57 of 57 outbound references displayed

verified exact3
verified fuzzy4
unresolved50
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation c3fa33c9-9fff-4ece-937b-ff73f8c67a48 · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T05:55:14.648021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ccf4b38-807d-498b-ae17-62afec84d6b8 · outbound

This paper cites Learning to Recover Reasoning Chains for Multi-Hop Question Answering via Cooperative Games.

MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge Learning to Recover Reasoning Chains for Multi-Hop Question Answering via Cooperative Games

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-11T05:55:15.509178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 15774753-2e12-4a10-9856-cf60599fbd4a · outbound

This paper cites The Llama 3 Herd of Models.

MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge The Llama 3 Herd of Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T05:55:14.659377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

This paper cites Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps.

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 500c559b-11b4-4c74-8f0e-2d9a29db9ef0 · outbound

This paper cites an unresolved cited work.

MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T05:55:14.669252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06437c8e-b0eb-469b-93d5-ccc896513f73 · outbound

This paper cites Qwen2.5-Coder Technical Report.

MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge Qwen2.5-Coder Technical Report

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T05:55:14.674445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b02736f-ad64-4f45-9448-9412ecd0ec97 · outbound

This paper cites Open-RAG: Enhanced Retrieval-Augmented Reasoning with Open-Source Large Language Models.

MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge Open-RAG: Enhanced Retrieval-Augmented Reasoning with Open-Source Large Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T05:55:14.679583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd17f135-a0c9-4e03-b441-1586e96e3c1f · outbound

This paper cites an unresolved cited work.

MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T05:55:14.684533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c031ec2-67df-42d5-852b-7bb713bb8a1a · outbound

This paper cites an unresolved cited work.

MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:55:15.815764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation fbad84af-98c5-481e-bdbb-9f151e4b04d1 · outbound

This paper cites Mistral 7B.

MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge Mistral 7B

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T05:55:14.692321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a00bcdd-b499-4755-a9fd-2bb4ff41f467 · outbound

This paper cites Evaluating Open-Domain Question Answering in the Era of Large Language Models.

MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge Evaluating Open-Domain Question Answering in the Era of Large Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T05:55:14.696605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8851b154-f772-4be2-92ea-668b71633222 · outbound

This paper cites an unresolved cited work.

MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:55:15.802024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0955d653-7425-44d3-94e7-ab48c022ca2f · outbound

This paper cites Parikh, Chris Alberti, Danielle Epstein, Illia Polosukhin, Jacob Devlin, Kenton Lee, Kristina Toutanova, Llion Jones, Matthew Kelcey, Ming-Wei Chang, Andrew M.

MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge Parikh, Chris Alberti, Danielle Epstein, Illia Polosukhin, Jacob Devlin, Kenton Lee, Kristina Toutanova, Llion Jones, Matthew Kelcey, Ming-Wei Chang, Andrew M

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T05:55:14.705536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d43c95b4-fa1f-4398-8c3a-b04ee565d55b · outbound

This paper cites Gonzalez, Haotong Zhang, and Ion Stoica.

MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge Gonzalez, Haotong Zhang, and Ion Stoica

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T05:55:14.709849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb878223-5a60-4e33-b24d-03755f0d0a05 · outbound

This paper cites Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.

MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T05:55:14.714204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02b048db-2b15-4816-8818-97996dcbb148 · outbound

This paper cites Large Language Models with Controllable Working Memory.

MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge Large Language Models with Controllable Working Memory

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T05:55:14.719947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55862471-7f16-4987-a417-96e3dfdfbf31 · outbound

This paper cites an unresolved cited work.

MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:55:15.770632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c8441089-dcbf-443e-ace2-e2863a413b03 · outbound

This paper cites an unresolved cited work.

MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:55:15.757538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6e0d918c-de0a-447f-9e7d-c2d6a31eef0f · outbound

This paper cites Retrieval Helps or Hurts? A Deeper Dive into the Efficacy of Retrieval Augmentation to Language Models.

MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge Retrieval Helps or Hurts? A Deeper Dive into the Efficacy of Retrieval Augmentation to Language Models

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-11T05:55:15.381405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ef7d9c5f-36a5-43c4-8394-17cb944a296f · outbound

This paper cites an unresolved cited work.

MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:55:15.743955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0fa58127-4eac-4b8f-ac01-1566fc47bb09 · outbound

This paper cites an unresolved cited work.

MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:55:15.730181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2c7b9b02-5790-4afd-8d9b-fe30b38ab018 · outbound

This paper cites Large Dual Encoders Are Generalizable Retrievers.

MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge Large Dual Encoders Are Generalizable Retrievers

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T05:55:14.748838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ec105f1-b80f-4935-bc89-fca35185e6d7 · outbound

This paper cites Guo, and Xueqi Cheng.

MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge Guo, and Xueqi Cheng

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:55:15.716433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a05b6d6b-a9dc-4058-8d9b-a2fb603eff54 · outbound

This paper cites Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation.

MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T05:55:14.758418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e030baa-9c5a-4ac3-a45e-0d9f5340b4e0 · outbound

This paper cites Robertson and Hugo Zaragoza.

MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge Robertson and Hugo Zaragoza

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T05:55:14.762778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1afe389f-61dd-4943-85fd-8433934924f2 · outbound

This paper cites Mintaka: A Complex, Natural, and Multilingual Dataset for End-to-End Question Answering.

MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge Mintaka: A Complex, Natural, and Multilingual Dataset for End-to-End Question Answering

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T05:55:14.767197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 219b7b2a-d79e-4d49-a115-73da98a3c1d0 · outbound

This paper cites an unresolved cited work.

MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:55:15.694290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 968fa1e3-3d56-43a0-af76-4db2c8f9dc94 · outbound

This paper cites an unresolved cited work.

MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:55:15.681754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5ad18645-bd1e-461f-8481-c266fa38f5a0 · outbound

This paper cites an unresolved cited work.

MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge Unresolved cited work

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T05:55:14.780421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2632d840-75c1-46a7-80a1-555e5e21e3dd · outbound

This paper cites One Embedder, Any Task: Instruction-Finetuned Text Embeddings.

MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge One Embedder, Any Task: Instruction-Finetuned Text Embeddings

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T05:55:14.784568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 550c42f2-7140-49fe-bea9-de6241d3e40c · outbound

This paper cites Head-to-Tail: How Knowledgeable are Large Language Models (LLMs)? A.K.A. Will LLMs Replace Knowledge Graphs?.

MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge Head-to-Tail: How Knowledgeable are Large Language Models (LLMs)? A.K.A. Will LLMs Replace Knowledge Graphs?

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-11T05:55:14.789259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c5cc6f1-7512-4a28-93d6-cc3f8b5542ca · outbound

This paper cites MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries.

MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-11T05:55:14.793714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd6bcbcd-51f6-4416-ba5d-e533e5e6260f · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge Gemma 2: Improving Open Language Models at a Practical Size

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-11T05:55:14.798033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6b3bcba-d562-4e67-904f-6eae0c253f65 · outbound

This paper cites Trivedi, Niranjan Balasubramanian, Tushar Khot, and Ashish Sabharwal.

MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge Trivedi, Niranjan Balasubramanian, Tushar Khot, and Ashish Sabharwal

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:55:15.668466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8f51e6fb-cd0f-4d0a-8aa2-06f12269e604 · outbound

This paper cites an unresolved cited work.

MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge Unresolved cited work

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-11T05:55:14.805847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 034e0e7b-aedc-43f0-9c26-b3fce9532a38 · outbound

This paper cites an unresolved cited work.

MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge Unresolved cited work

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-11T05:55:14.809422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dac56400-d0a1-4af8-9c5c-c8eca28261bd · outbound

This paper cites Self-prompted Chain-of-Thought on Large Language Models for Open-domain Multi-hop Reasoning.

MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge Self-prompted Chain-of-Thought on Large Language Models for Open-domain Multi-hop Reasoning

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-11T05:55:14.814055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06dc3a3d-0616-4137-9848-230da6870e7c · outbound

This paper cites an unresolved cited work.

MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:55:15.645885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c120a452-40e0-4e3c-b2a9-211633a44dbf · outbound

This paper cites an unresolved cited work.

MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:55:15.632440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d376a72f-5f67-4854-83dc-c55de4e41a2f · outbound

This paper cites an unresolved cited work.

MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge Unresolved cited work

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-11T05:55:14.827330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96b9467a-0c67-42a6-bbeb-f1efb39208df · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-11T05:55:14.831416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0cfbe42-b200-4ed5-a25b-255c5e4a5cf4 · outbound

This paper cites Promptriever: Instruction-Trained Retrievers Can Be Prompted Like Language Models.

MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge Promptriever: Instruction-Trained Retrievers Can Be Prompted Like Language Models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-11T05:55:14.836046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b86cd3b5-149c-4dd1-aa52-7d208e5707f3 · outbound

This paper cites LM-Cocktail: Resilient Tuning of Language Models via Model Merging.

MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge LM-Cocktail: Resilient Tuning of Language Models via Model Merging

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-11T05:55:14.841141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e64a726-be0e-4ea9-8590-bacd53e343a1 · outbound

This paper cites an unresolved cited work.

MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge Unresolved cited work

Reference 44

Resolution: verified exact; doi, observed 2026-08-11T05:55:14.939744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 59b3c53c-3d12-4743-acb5-a38b61c4ffb7 · outbound

This paper cites Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval.

MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-11T05:55:14.850001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79a03d29-3262-41a0-b30c-5d87dfe99e0d · outbound

This paper cites an unresolved cited work.

MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge Unresolved cited work

Reference 46

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:55:15.609094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 69b744c9-ad5f-4f5b-ae1d-60f4bf7c28c2 · outbound

This paper cites Cohen, Ruslan Salakhutdinov, and Christopher D.

MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge Cohen, Ruslan Salakhutdinov, and Christopher D

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:55:15.595699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 07a26606-07bf-4f5e-a3d6-63e8dd4602e7 · outbound

This paper cites an unresolved cited work.

MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge Unresolved cited work

Reference 48

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:55:15.582715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation cb29f5ca-c30b-4377-8b3e-2a55bd819688 · outbound

This paper cites Yu, Wenhao Yu, Chenguang Zhu, Zaitang Li, Zhiting Hu, Qingyun Wang, Heng Ji, and Meng Jiang.

MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge Yu, Wenhao Yu, Chenguang Zhu, Zaitang Li, Zhiting Hu, Qingyun Wang, Heng Ji, and Meng Jiang

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:55:15.569316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0004aca3-7805-4f9e-966e-2ea550cf9e33 · outbound

This paper cites RetrievalQA: Assessing Adaptive Retrieval-Augmented Generation for Short-form Open-Domain Question Answering.

MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge RetrievalQA: Assessing Adaptive Retrieval-Augmented Generation for Short-form Open-Domain Question Answering

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-11T05:55:14.871403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7161233-33ae-4eeb-af2f-c2a0691163f1 · outbound

This paper cites Verify-and-Edit: A Knowledge-Enhanced Chain-of-Thought Framework.

MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge Verify-and-Edit: A Knowledge-Enhanced Chain-of-Thought Framework

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-11T05:55:14.875132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45b8792c-1047-4b93-9b26-99ed99da4b89 · outbound

This paper cites an unresolved cited work.

MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge Unresolved cited work

Reference 52

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:55:15.555225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4954c2a4-3254-45a3-9c22-9d1d0b6196c0 · outbound

This paper cites Accelerating Inference of Retrieval-Augmented Generation via Sparse Context Selection.

MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge Accelerating Inference of Retrieval-Augmented Generation via Sparse Context Selection

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-11T05:55:14.883477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3217fc6-19cf-4db7-b636-3b5574086b6c · outbound

This paper cites an unresolved cited work.

MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge Unresolved cited work

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-11T05:55:14.888105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c182206e-d2c1-45f7-a7a2-daa558bbfe16 · outbound

This paper cites EfficientRAG: Efficient Retriever for Multi-Hop Question Answering.

MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge EfficientRAG: Efficient Retriever for Multi-Hop Question Answering

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-11T05:55:14.892561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b4d1837-57d9-4514-a222-7d94ae615d56 · outbound

This paper cites online" 'onlinestring :=.

MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge online" 'onlinestring :=

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-11T05:55:14.897152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4af56952-683f-4c5e-a41d-42f68a081186 · outbound

This paper cites write newline.

MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge write newline

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-11T05:55:14.902112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 0eee85ad-94c3-4cb4-99d2-2ce6b8a33120 · inbound

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

InfoDeepSeek: Benchmarking Agentic Information Seeking for Retrieval-Augmented Generation MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T15:19:14.992316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24d508a4-30e9-4d4d-8781-b77d9e3ff792 · inbound

Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs cites this paper.

Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T18:00:38.663920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c9cb728-9e24-481d-9046-4501a99e1a5d · inbound

The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes cites this paper.

The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge

Reference 89

Resolution: verified exact; arxiv_id, observed 2026-06-27T13:00:56.135207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e47dcf84-bf68-4a0b-ac11-8d4ce0bb4789 · inbound

FORT-Searcher: Synthesizing Shortcut-Resistant Search Tasks for Training Deep Search Agents cites this paper.

FORT-Searcher: Synthesizing Shortcut-Resistant Search Tasks for Training Deep Search Agents MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-03T10:27:56.385466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.