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Paper Citation Record · LEDGER

Query-Focused Event Summarization: A Dataset and Benchmark

As of 8 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2607.11166.

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

pith.paper-citation-record.v1
2607.11166 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T06:33:56.134160Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

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

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

45 of 45 outbound references displayed

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  • unresolved44
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

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Outbound references

Observation 375ebec5-8e43-4e9b-966a-3f7a454f113d · outbound

This paper cites The k-means algorithm: A comprehensive survey and performance evaluation.Electronics, 9(8):1295, 2020.

Query-Focused Event Summarization: A Dataset and Benchmark The k-means algorithm: A comprehensive survey and performance evaluation.Electronics, 9(8):1295, 2020

Reference 1

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source=pdf_text observed=2026-07-14T06:33:56.134160Z digest=sha256:09fad4b78d520627241f45f5222a0b2da60424c8d8aa8950cd2cce2152fc4e73

Observation 5151e962-bb87-4574-a439-44a3df216c5d · outbound

This paper cites NEWTS: A Corpus for News Topic-Focused Summarization.

Query-Focused Event Summarization: A Dataset and Benchmark NEWTS: A Corpus for News Topic-Focused Summarization

Reference 2

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source=pdf_text observed=2026-07-14T06:33:56.134160Z digest=sha256:5b2d8cf2daae441f2a47e4b82829457699a3c1551977423fca8e6df7ab36d9c8

Observation 614125d0-1f29-4354-8c61-32c6ea997be8 · outbound

This paper cites Meteor: An automatic metric for mt evaluation with improved correlation with human judgments.

Query-Focused Event Summarization: A Dataset and Benchmark Meteor: An automatic metric for mt evaluation with improved correlation with human judgments

Reference 3

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source=pdf_text observed=2026-07-14T06:33:56.134160Z digest=sha256:298329381bf102b9b163aafaf0328a0ad79e213f99faba8b4d3e2c5f63232e85

Observation d0aea82b-eae9-49fc-9c32-6b4e4a40b7bb · outbound

This paper cites Topic concentration in query focused summarization datasets.

Query-Focused Event Summarization: A Dataset and Benchmark Topic concentration in query focused summarization datasets

Reference 4

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source=pdf_text observed=2026-07-14T06:33:56.134160Z digest=sha256:a5c51ea144d59fb014a35497f06c1a2a1df992fe472b7e597ba85a866da772bd

Observation 6822d054-0ad5-4730-8411-add12cbc60fa · outbound

This paper cites Longformer: The Long-Document Transformer.

Query-Focused Event Summarization: A Dataset and Benchmark Longformer: The Long-Document Transformer

Reference 5

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source=pdf_text observed=2026-07-14T06:33:56.134160Z digest=sha256:de6fce1322e7926f97586bd8b77feb39732165634940f8027b1b5478f3cfa6d7

Observation 6c96f197-2830-448f-a683-20e662c7d3da · outbound

This paper cites M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation.

Query-Focused Event Summarization: A Dataset and Benchmark M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation

Reference 6

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source=pdf_text observed=2026-07-14T06:33:56.134160Z digest=sha256:430a6e0abdb70301bda82de8c89e100e8e5ebeb6a1d96fdd43a0abeb1b2ad9c0

Observation 2c1972ef-e674-4e3a-8919-c2bbc81df662 · outbound

This paper cites Overview of duc 2005.

Query-Focused Event Summarization: A Dataset and Benchmark Overview of duc 2005

Reference 7

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source=pdf_text observed=2026-07-14T06:33:56.134160Z digest=sha256:91a961433e0b95000ef58c85fda93312eb1cd65e6dd2f2d250c63ec8f8d448ba

Observation 350b8247-e0ff-41f7-91a5-e0a29f518b34 · outbound

This paper cites Overview of the tac 2008 update summarization task.

Query-Focused Event Summarization: A Dataset and Benchmark Overview of the tac 2008 update summarization task

Reference 8

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source=pdf_text observed=2026-07-14T06:33:56.134160Z digest=sha256:3f09c2ff22fd91b93f47987826ddba4243d400a7b68f65ae1636d2b7e35a965f

Observation f1c8c372-5ef5-4863-9145-d1654392cbb9 · outbound

This paper cites Webcites: Attributed query-focused summarization on chinese web search results with citations.

Query-Focused Event Summarization: A Dataset and Benchmark Webcites: Attributed query-focused summarization on chinese web search results with citations

Reference 9

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source=pdf_text observed=2026-07-14T06:33:56.134160Z digest=sha256:7abe2b089a2c95f938ee65527564d4242c2c1470c8ae5c1c22dbf655544b155a

Observation 9c1349c8-9bb1-44ea-9bae-e373d9433d6b · outbound

This paper cites From Local to Global: A Graph RAG Approach to Query-Focused Summarization.

Query-Focused Event Summarization: A Dataset and Benchmark From Local to Global: A Graph RAG Approach to Query-Focused Summarization

Reference 10

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source=pdf_text observed=2026-07-14T06:33:56.134160Z digest=sha256:0b1569477ef46d212b075d8ca7cca55f22810425b393813cd3a92bf3677e4e42

Observation b5b008f6-2ac2-4e1c-962c-2a2ca52f7204 · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

Query-Focused Event Summarization: A Dataset and Benchmark Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 11

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source=pdf_text observed=2026-07-14T06:33:56.134160Z digest=sha256:c8fd8c8e286eaf2469ffa751bd8a3b5a02d74ccae4985988b149a3c6605e2b61

Observation f08b0768-f7c8-4117-8589-066151417d9a · outbound

This paper cites Examining the State-of-the-Art in News Timeline Summarization.

Query-Focused Event Summarization: A Dataset and Benchmark Examining the State-of-the-Art in News Timeline Summarization

Reference 12

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source=pdf_text observed=2026-07-14T06:33:56.134160Z digest=sha256:73081bc76808324127eb555cf973ce38e94b083176c00d47fddd79b71ac7e735

Observation 6f779c40-cba4-4b67-afc8-404468b6e0fc · outbound

This paper cites BERTopic: Neural topic modeling with a class-based TF-IDF procedure.

Query-Focused Event Summarization: A Dataset and Benchmark BERTopic: Neural topic modeling with a class-based TF-IDF procedure

Reference 13

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source=pdf_text observed=2026-07-14T06:33:56.134160Z digest=sha256:dabc0bde9df681ab4359f06d75d73be8aa0970ac1ea14d62cfb483107dc47a83

Observation c6651e5e-7f00-41f7-bdd4-39b13e1101d8 · outbound

This paper cites LightRAG: Simple and Fast Retrieval-Augmented Generation.

Query-Focused Event Summarization: A Dataset and Benchmark LightRAG: Simple and Fast Retrieval-Augmented Generation

Reference 14

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source=pdf_text observed=2026-07-14T06:33:56.134160Z digest=sha256:45f27cc35d94c1f81c23922c94e78aca3ee4fabee6708d2be0d75dcbdb43d1bd

Observation f65d2b13-69cb-40ab-a4e6-9b7030ac3ebf · outbound

This paper cites FG-RAG: Enhancing Query-Focused Summarization with Context-Aware Fine-Grained Graph RAG.

Query-Focused Event Summarization: A Dataset and Benchmark FG-RAG: Enhancing Query-Focused Summarization with Context-Aware Fine-Grained Graph RAG

Reference 15

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source=pdf_text observed=2026-07-14T06:33:56.134160Z digest=sha256:c12a9c203e4b86158219f28ad612bf5f6d741b42cc50c3bfbe5900ccc5d26933

Observation 50f17e1f-0dbd-4b67-bd54-672cfc7389ee · outbound

This paper cites From moments to milestones: Incremental timeline summarization leveraging large language models.

Query-Focused Event Summarization: A Dataset and Benchmark From moments to milestones: Incremental timeline summarization leveraging large language models

Reference 16

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source=pdf_text observed=2026-07-14T06:33:56.134160Z digest=sha256:0435277a53846f9c8467dafe80231d40ff7d24baec327d2f40eccca0d9a48bb0

Observation 5df5e0cb-752d-4e7f-ad83-ec6123a536a4 · outbound

This paper cites Dense passage retrieval for open-domain question answering.

Query-Focused Event Summarization: A Dataset and Benchmark Dense passage retrieval for open-domain question answering

Reference 17

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source=pdf_text observed=2026-07-14T06:33:56.134160Z digest=sha256:edf8f069bb9c5d5a783d4493d4775e923159682fb310ed30d0a98fbc0d203f0f

Observation 4f774842-1ea9-4d69-af45-726e9b84a47f · outbound

This paper cites AQuaMuSe: Automatically Generating Datasets for Query-Based Multi-Document Summarization.

Query-Focused Event Summarization: A Dataset and Benchmark AQuaMuSe: Automatically Generating Datasets for Query-Based Multi-Document Summarization

Reference 18

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source=pdf_text observed=2026-07-14T06:33:56.134160Z digest=sha256:621691de6db1a44cc098786559eabe94efc02aad6653435b738cb3e9dbfebef2

Observation a12fef21-2418-4b1a-bfee-82aa0acfb361 · outbound

This paper cites Natural questions: a benchmark for question answering research.Transactions of the Association for Computational Linguistics, 7:453–466, 2019.

Query-Focused Event Summarization: A Dataset and Benchmark Natural questions: a benchmark for question answering research.Transactions of the Association for Computational Linguistics, 7:453–466, 2019

Reference 19

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source=pdf_text observed=2026-07-14T06:33:56.134160Z digest=sha256:4d5e5a522835376e166f7a1a04292f75a219bb06c995730d6589c0348541c923

Observation 834f5a80-34b9-4f11-ab6e-8de504136912 · outbound

This paper cites Simple Is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation.

Query-Focused Event Summarization: A Dataset and Benchmark Simple Is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation

Reference 20

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source=pdf_text observed=2026-07-14T06:33:56.134160Z digest=sha256:e698e6f1c20921536b1d67bf67d3836f092fa98b6f5e1c15417094bd63f259d8

Observation 3b9f0c7d-e1d5-4e50-9f26-cd38fbeb1417 · outbound

This paper cites Towards General Text Embeddings with Multi-stage Contrastive Learning.

Query-Focused Event Summarization: A Dataset and Benchmark Towards General Text Embeddings with Multi-stage Contrastive Learning

Reference 21

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source=pdf_text observed=2026-07-14T06:33:56.134160Z digest=sha256:f9d34073444ff765ffa4c1abed4f50e455831c54936295b98c93a682cc99a654

Observation ff0061d6-f437-4993-bda0-ffc5b5cf8277 · outbound

This paper cites Rouge: A package for automatic evaluation of summaries.

Query-Focused Event Summarization: A Dataset and Benchmark Rouge: A package for automatic evaluation of summaries

Reference 22

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source=pdf_text observed=2026-07-14T06:33:56.134160Z digest=sha256:7bdd24ae046c98bce3165e7b381ebd4d74804533e3bb3209bc2d8320abbaa055

Observation 5118b789-ae0c-4728-82f1-6e236f65f0cf · outbound

This paper cites DeepSeek-V3 Technical Report.

Query-Focused Event Summarization: A Dataset and Benchmark DeepSeek-V3 Technical Report

Reference 23

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source=pdf_text observed=2026-07-14T06:33:56.134160Z digest=sha256:c3dee8926c496c0cdbf93d49e66fcdff3419002c112aa0d4c38d3c255c09a715

Observation adf4fbb4-8073-403f-95f5-4b7df0ce7b69 · outbound

This paper cites Learning to Rank Utterances for Query-Focused Meeting Summarization.

Query-Focused Event Summarization: A Dataset and Benchmark Learning to Rank Utterances for Query-Focused Meeting Summarization

Reference 24

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source=pdf_text observed=2026-07-14T06:33:56.134160Z digest=sha256:e3a0fab8a47b68b196bb869e039f27ffec5646f7bc6222f285521b4abc12ad2f

Observation 31ff3910-a054-4db7-be56-72ebd8bf941c · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Query-Focused Event Summarization: A Dataset and Benchmark RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 25

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Observation 79d676d7-2600-416a-a820-be1f5ed154c7 · outbound

This paper cites hdbscan: Hierarchical density based clustering.J.

Query-Focused Event Summarization: A Dataset and Benchmark hdbscan: Hierarchical density based clustering.J

Reference 26

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source=pdf_text observed=2026-07-14T06:33:56.134160Z digest=sha256:8701dc202b9831cf3f9813b3f88e7780660057cc726abe88ebdcc07ca1afe6b1

Observation e95d93be-9c97-491f-83b8-6e9768d6d6c7 · outbound

This paper cites Reinforcement replaces supervision: Query focused summarization using deep reinforcement learning.

Query-Focused Event Summarization: A Dataset and Benchmark Reinforcement replaces supervision: Query focused summarization using deep reinforcement learning

Reference 27

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source=pdf_text observed=2026-07-14T06:33:56.134160Z digest=sha256:fa33e502261e2095d534d9b7ed47d7f744f6ed0c0754288e157d9c413e9b4ca8

Observation 15b02e49-4592-4128-bb40-58f46e90c1f0 · outbound

This paper cites Socratic pretraining: Question-driven pretraining for controllable summarization.

Query-Focused Event Summarization: A Dataset and Benchmark Socratic pretraining: Question-driven pretraining for controllable summarization

Reference 28

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source=pdf_text observed=2026-07-14T06:33:56.134160Z digest=sha256:b71c58441ff68fc18189a372694cc2d3c2e0c7845734d8277b9d62f11d502554

Observation 539fc0b6-195c-4f13-aaa9-4e18870a2d10 · outbound

This paper cites an unresolved cited work.

Query-Focused Event Summarization: A Dataset and Benchmark Unresolved cited work

Reference 29

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source=pdf_text observed=2026-07-14T06:33:56.134160Z digest=sha256:f79a148403d1cf040abf46b5f312f005678bc97c1894dc58eedc42bcf4107b87

Observation b15add97-bdaf-4c60-8369-636b413894ee · outbound

This paper cites Bleu: a method for automatic evaluation of machine translation.

Query-Focused Event Summarization: A Dataset and Benchmark Bleu: a method for automatic evaluation of machine translation

Reference 30

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source=pdf_text observed=2026-07-14T06:33:56.134160Z digest=sha256:c328aead7077206ac19e91aa6239a561a7f6ea147838b6e8ae429f439b165847

Observation 3af7c340-34ca-44db-b06c-d0fcf2fae76d · outbound

This paper cites Scaling Multi-Document Event Summarization: Evaluating Compression vs. Full-Text Approaches.

Query-Focused Event Summarization: A Dataset and Benchmark Scaling Multi-Document Event Summarization: Evaluating Compression vs. Full-Text Approaches

Reference 31

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source=pdf_text observed=2026-07-14T06:33:56.134160Z digest=sha256:40d5c0abc53ee19472a37c51b0baef47081f084886985a142b0544be9135b030

Observation dfd6296d-cbd1-4628-9371-ca218f4e2305 · outbound

This paper cites The probabilistic relevance framework: Bm25 and beyond.Foundations and Trends® in Information Retrieval, 3(4):333–389, 2009.

Query-Focused Event Summarization: A Dataset and Benchmark The probabilistic relevance framework: Bm25 and beyond.Foundations and Trends® in Information Retrieval, 3(4):333–389, 2009

Reference 32

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source=pdf_text observed=2026-07-14T06:33:56.134160Z digest=sha256:6427a7622eda5dad2fda1487fd525634ea590105025ae21b07ac1df18943a957

Observation d71a6021-2989-4cb9-ab47-51c9ea027e31 · outbound

This paper cites Chatgpt and open-ai models: A preliminary review.Future Internet, 15(6):192, 2023.

Query-Focused Event Summarization: A Dataset and Benchmark Chatgpt and open-ai models: A preliminary review.Future Internet, 15(6):192, 2023

Reference 33

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source=pdf_text observed=2026-07-14T06:33:56.134160Z digest=sha256:137a8029b68b0806bfdc0b691035c0b0c00db755094747a9257a7ea25dd3a31e

Observation 854e61dd-75ac-43bd-82a7-a8122ee4d9ea · outbound

This paper cites Review on query-focused multi-document summarization (qmds) with comparative analysis.ACM Computing Surveys, 56(1):1–38, 2023.

Query-Focused Event Summarization: A Dataset and Benchmark Review on query-focused multi-document summarization (qmds) with comparative analysis.ACM Computing Surveys, 56(1):1–38, 2023

Reference 34

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source=pdf_text observed=2026-07-14T06:33:56.134160Z digest=sha256:b2f398e0477ec503b0dcb1c91a3f66276b38d987f0886b168587c64baa49cc0c

Observation dd895b5c-8bac-4a47-a7b2-4ea9eb7f09bd · outbound

This paper cites Learning to Rank Salient Content for Query-focused Summarization.

Query-Focused Event Summarization: A Dataset and Benchmark Learning to Rank Salient Content for Query-focused Summarization

Reference 35

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source=pdf_text observed=2026-07-14T06:33:56.134160Z digest=sha256:eb00aa6fa7dcafdc5a06fd9099944772f9b290812c7a4fe245923c130d6ff76c

Observation d5109c25-a3c1-48c6-b700-18878342e5af · outbound

This paper cites Towards verifiable text generation with evolving memory and self-reflection.

Query-Focused Event Summarization: A Dataset and Benchmark Towards verifiable text generation with evolving memory and self-reflection

Reference 36

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source=pdf_text observed=2026-07-14T06:33:56.134160Z digest=sha256:9cce1e0470ea7c21a84df7164fae7d8ee7fbe4d073516b3908c9d776e383b4a8

Observation 6b890fff-4feb-4bce-ae79-4b6452bf6511 · outbound

This paper cites Timeline summarization from relevant headlines.

Query-Focused Event Summarization: A Dataset and Benchmark Timeline summarization from relevant headlines

Reference 37

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Observation e1c5b9c7-456d-46af-9017-edda27fbbe49 · outbound

This paper cites Attention is all you need.Advances in neural information processing systems, 30, 2017.

Query-Focused Event Summarization: A Dataset and Benchmark Attention is all you need.Advances in neural information processing systems, 30, 2017

Reference 38

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Observation c8097676-ed24-4d6b-b1b8-2a15825adc5a · outbound

This paper cites Exploring neural models for query-focused summarization.

Query-Focused Event Summarization: A Dataset and Benchmark Exploring neural models for query-focused summarization

Reference 39

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Observation fedcbb1b-95a5-428b-bfcc-cd1b85b1e051 · outbound

This paper cites Manifold-ranking based topic-focused multi-document summarization.

Query-Focused Event Summarization: A Dataset and Benchmark Manifold-ranking based topic-focused multi-document summarization

Reference 40

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no resolver link, observed 2026-07-14T06:33:56.134160Z

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source=pdf_text observed=2026-07-14T06:33:56.134160Z digest=sha256:120caa0693d64cf2bd06a5d7f009d3343be37f92c100a257b43a9bd4255deb46

Observation 8e06994a-833d-4fb8-b096-490a508e37c7 · outbound

This paper cites Squality: Building a long-document summarization dataset the hard way.

Query-Focused Event Summarization: A Dataset and Benchmark Squality: Building a long-document summarization dataset the hard way

Reference 41

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source=pdf_text observed=2026-07-14T06:33:56.134160Z digest=sha256:0df42001d89db193074f791fced55b48aa75a887d0a9c2e9833842559ad8692f

Observation 4408f34d-92c4-4a50-b6f7-887d079fb7f1 · outbound

This paper cites Unstructured evidence attribution for long context query focused summarization.

Query-Focused Event Summarization: A Dataset and Benchmark Unstructured evidence attribution for long context query focused summarization

Reference 42

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source=pdf_text observed=2026-07-14T06:33:56.134160Z digest=sha256:125b83f0cbe28c72a90fd51e2357b1d44455c30e894e3b835e2c2c9457704c24

Observation 0a6b0be4-73e9-40f3-815f-38adbb64a39a · outbound

This paper cites Qwen3 Technical Report.

Query-Focused Event Summarization: A Dataset and Benchmark Qwen3 Technical Report

Reference 43

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source=pdf_text observed=2026-07-14T06:33:56.134160Z digest=sha256:d823791b616369da92a5a3c384894c965ee264e258f9dced26c90bf0f55f9231

Observation f98b5792-31e0-46ce-bf57-25bf4f8f01f4 · outbound

This paper cites BERTScore: Evaluating Text Generation with BERT.

Query-Focused Event Summarization: A Dataset and Benchmark BERTScore: Evaluating Text Generation with BERT

Reference 44

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source=pdf_text observed=2026-07-14T06:33:56.134160Z digest=sha256:ad39bba5346004a95c1918f2c5bd1128644e53df20ba0e79deda9ec57e5f6cc9

Observation c515bd0e-7152-4228-8c37-6a05f426b9cf · outbound

This paper cites The arrest and charges against Gadhafi.

Query-Focused Event Summarization: A Dataset and Benchmark The arrest and charges against Gadhafi

Reference 45

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source=pdf_text observed=2026-07-14T06:33:56.134160Z digest=sha256:5ebc45b1da68a32ea49ef1568feee8d60a829f7e1bc8d0864930ee2a140a49a0

Pith citing papers

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