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Paper Citation Record · LEDGER

AQuaMuSe: Automatically Generating Datasets for Query-Based Multi-Document Summarization

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2010.12694.

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

pith.paper-citation-record.v1
2010.12694 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:46:59.106156Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T01:06:50.231364Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 8200be89-ac2a-4524-b053-3b94816fd9f2 · inbound

Chain-of-Verification Reduces Hallucination in Large Language Models cites this paper.

Chain-of-Verification Reduces Hallucination in Large Language Models AQuaMuSe: Automatically Generating Datasets for Query-Based Multi-Document Summarization

Reference 185

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:06:50.234185Z

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.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:f97dcfa7bd1df7cf0faddf364a54f14880ee41cee2a285aa7bd350dc6dee5997

Observation bd1f75dc-28ef-4fb8-81ad-93ff022b7d0e · inbound

Survey on Abstractive Text Summarization: Dataset, Models, and Metrics cites this paper.

Survey on Abstractive Text Summarization: Dataset, Models, and Metrics AQuaMuSe: Automatically Generating Datasets for Query-Based Multi-Document Summarization

Reference 110

Resolution
unresolved
no resolver link, observed 2026-08-11T05:46:59.106156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:46:59.106156Z digest=sha256:0ac250f16ae886c377382fafc0d9a9b0c03b867332741eaaba953543f1d8a3c5

Observation 2f65d2a4-9f77-4093-8948-2277311ab974 · inbound

A Unifying Scheme for Extractive Content Selection Tasks cites this paper.

A Unifying Scheme for Extractive Content Selection Tasks AQuaMuSe: Automatically Generating Datasets for Query-Based Multi-Document Summarization

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-06T15:05:41.790300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:05:41.790300Z digest=sha256:0f82cde4a8ef0bab75bc24d367b72038d528a870004d84a333c8b38b866c653a

Observation de90213d-922a-4c21-896c-062243fe7621 · inbound

Compare: A Framework for Scientific Comparisons cites this paper.

Compare: A Framework for Scientific Comparisons AQuaMuSe: Automatically Generating Datasets for Query-Based Multi-Document Summarization

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-04T23:39:41.803721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T23:39:41.803721Z digest=sha256:e375957659adcf2349539b94ae3aa711b648578288e8966c03fa8cd98d69565d

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

Query-Focused Event Summarization: A Dataset and Benchmark cites this paper.

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

Reference 18

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T06:33:56.134160Z digest=sha256:7839f2ddf4a5042ecd3ba19f65ceb762843550bc790c567a2529d9c8bed7bf79