Paper Citation Record · LEDGER

A Multi-Model Metric-based Selection Framework for Abstractive Text summarization

As of 9 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2606.05494.

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

pith.paper-citation-record.v1
2606.05494 v4

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T12:24:51.912868Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

26 of 26 outbound references displayed

verified exact0
verified fuzzy0
unresolved26
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2343320c-ab9d-4446-ac80-b254e1cc17d1 · outbound

This paper cites Summn: A multi-stage summarization frame- work for long input dialogues and documents,.

A Multi-Model Metric-based Selection Framework for Abstractive Text summarization Summn: A multi-stage summarization frame- work for long input dialogues and documents,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T12:24:51.777925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3a1d777-4f0b-4db1-b47b-a65436912897 · outbound

This paper cites Chatgpt vs human-authored text: Insights into controllable text summarization and sentence style transfer,.

A Multi-Model Metric-based Selection Framework for Abstractive Text summarization Chatgpt vs human-authored text: Insights into controllable text summarization and sentence style transfer,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T12:24:51.784973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e9dd83d-e691-4d0f-bcd3-318e4734136b · outbound

This paper cites Domain adaptation with pre-trained transformers for query-focused abstractive text summariza- tion,.

A Multi-Model Metric-based Selection Framework for Abstractive Text summarization Domain adaptation with pre-trained transformers for query-focused abstractive text summariza- tion,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T12:24:51.790075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48e95cc0-9f37-45c8-9dad-8695c50bd092 · outbound

This paper cites Text Summarization Using Large Language Models: A Comparative Study of MPT-7b-instruct, Falcon-7b-instruct, and OpenAI Chat-GPT Models.

A Multi-Model Metric-based Selection Framework for Abstractive Text summarization Text Summarization Using Large Language Models: A Comparative Study of MPT-7b-instruct, Falcon-7b-instruct, and OpenAI Chat-GPT Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T12:24:51.795113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8a836e5-3a8c-49b3-84f6-6ebc7dbd1c1a · outbound

This paper cites Abstractive meeting summarization: A survey,.

A Multi-Model Metric-based Selection Framework for Abstractive Text summarization Abstractive meeting summarization: A survey,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T12:24:51.800930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c8b3be5-ebd4-4be6-b7f0-ad3a9f85bbff · outbound

This paper cites Anlirika: An LSTM–CNN flow twister for spoken language identification,.

A Multi-Model Metric-based Selection Framework for Abstractive Text summarization Anlirika: An LSTM–CNN flow twister for spoken language identification,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T12:24:51.806865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d64bbcd5-fdd8-4342-bf30-390bf40d2b07 · outbound

This paper cites Riro: Reshaping inputs, refining outputs unlocking the potential of large language models in data-scarce contexts,.

A Multi-Model Metric-based Selection Framework for Abstractive Text summarization Riro: Reshaping inputs, refining outputs unlocking the potential of large language models in data-scarce contexts,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T12:24:51.815420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce5aa72b-84f2-49cf-8b93-278056595c8e · outbound

This paper cites Au- tomatic text summarization: A comprehensive survey,.

A Multi-Model Metric-based Selection Framework for Abstractive Text summarization Au- tomatic text summarization: A comprehensive survey,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T12:24:51.820767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40b025cd-d05a-4e0a-9d3c-3caf29ca2b30 · outbound

This paper cites A comprehensive survey on automatic text summarization with exploration of llm-based methods,.

A Multi-Model Metric-based Selection Framework for Abstractive Text summarization A comprehensive survey on automatic text summarization with exploration of llm-based methods,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T12:24:51.826401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19e78a96-636e-4742-9ac5-2928a4b12c20 · outbound

This paper cites A survey of automatic text summarization using graph neural networks,.

A Multi-Model Metric-based Selection Framework for Abstractive Text summarization A survey of automatic text summarization using graph neural networks,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T12:24:51.831592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 054764f1-116f-4425-bc52-c4066f7b4c5b · outbound

This paper cites Balancing factual con- sistency and diversity in abstractive summarization via model-agnostic composite reranking,.

A Multi-Model Metric-based Selection Framework for Abstractive Text summarization Balancing factual con- sistency and diversity in abstractive summarization via model-agnostic composite reranking,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T12:24:51.836808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b03cc811-bfb3-46ca-9c96-5421fdb29467 · outbound

This paper cites Abstractive text summarization: State of the art, challenges, and improvements,.

A Multi-Model Metric-based Selection Framework for Abstractive Text summarization Abstractive text summarization: State of the art, challenges, and improvements,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T12:24:51.841666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 472d27b4-511a-40c9-9baf-e597eb7bbb16 · outbound

This paper cites Lexisem: A re- ranker balancing lexical and semantic quality for enhanced abstractive summarization,.

A Multi-Model Metric-based Selection Framework for Abstractive Text summarization Lexisem: A re- ranker balancing lexical and semantic quality for enhanced abstractive summarization,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T12:24:51.846859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58aba479-86ed-4208-8c8c-de166713a49d · outbound

This paper cites Automatic text summarization using soft- cosine similarity and centrality measures,.

A Multi-Model Metric-based Selection Framework for Abstractive Text summarization Automatic text summarization using soft- cosine similarity and centrality measures,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T12:24:51.852119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30181438-1d53-4374-b7ac-a82f5ca250fd · outbound

This paper cites Ranksum—an unsupervised extractive text summarization based on rank fusion,.

A Multi-Model Metric-based Selection Framework for Abstractive Text summarization Ranksum—an unsupervised extractive text summarization based on rank fusion,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T12:24:51.857210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 500d2ab3-d761-4b7d-8bad-bce0c3cd0c26 · outbound

This paper cites Extractive summarization using extended TextRank algorithm,.

A Multi-Model Metric-based Selection Framework for Abstractive Text summarization Extractive summarization using extended TextRank algorithm,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T12:24:51.862343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b09cf823-fe9c-43d6-bd0e-b506a03886f3 · outbound

This paper cites A topic modeled un- supervised approach to single document extractive text summarization,.

A Multi-Model Metric-based Selection Framework for Abstractive Text summarization A topic modeled un- supervised approach to single document extractive text summarization,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T12:24:51.867776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54cd8f13-a166-4b4d-870b-85620bdf211e · outbound

This paper cites Bidirectional lstm networks for abstractive text summarization,.

A Multi-Model Metric-based Selection Framework for Abstractive Text summarization Bidirectional lstm networks for abstractive text summarization,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T12:24:51.872764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f838626-55e5-4038-8496-bda8cc2ffaa8 · outbound

This paper cites Summfactscore: A claim-centric framework forreference-free factual consistency evalu- ation inlong-document summarization,.

A Multi-Model Metric-based Selection Framework for Abstractive Text summarization Summfactscore: A claim-centric framework forreference-free factual consistency evalu- ation inlong-document summarization,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T12:24:51.877629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49adb2aa-b14a-4793-85dc-12f118397b6e · outbound

This paper cites Discourse-aware neural extractive text summarization,.

A Multi-Model Metric-based Selection Framework for Abstractive Text summarization Discourse-aware neural extractive text summarization,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T12:24:51.882639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b918c14-6e51-4e99-ae4e-627c323b9b3b · outbound

This paper cites Deep learning for text summarization using nlp for automated news digest,.

A Multi-Model Metric-based Selection Framework for Abstractive Text summarization Deep learning for text summarization using nlp for automated news digest,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-02T12:24:51.888079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22214d2a-256c-464b-abb5-9151304e3ed9 · outbound

This paper cites Extractive summarization as text matching,.

A Multi-Model Metric-based Selection Framework for Abstractive Text summarization Extractive summarization as text matching,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-02T12:24:51.893179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 882c30e2-2e92-4d2b-80c4-1353f76578bb · outbound

This paper cites Adapted large language models can outperform medical experts in clinical text summarization,.

A Multi-Model Metric-based Selection Framework for Abstractive Text summarization Adapted large language models can outperform medical experts in clinical text summarization,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-02T12:24:51.898202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a49c36f0-cf3a-4c0b-9641-6ac66be828ff · outbound

This paper cites A survey on cross-lingual summarization,.

A Multi-Model Metric-based Selection Framework for Abstractive Text summarization A survey on cross-lingual summarization,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-02T12:24:51.903028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 750694ee-8c26-4bd1-b85f-63cd770a0e9f · outbound

This paper cites News Summarization and Evaluation in the Era of GPT-3.

A Multi-Model Metric-based Selection Framework for Abstractive Text summarization News Summarization and Evaluation in the Era of GPT-3

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-02T12:24:51.907682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4115ab0b-3c7c-4a1a-a7c3-07459be3eaf2 · outbound

This paper cites Damb: A dynamic adaptive multi-model benchmarking framework for abstractive text summarization,.

A Multi-Model Metric-based Selection Framework for Abstractive Text summarization Damb: A dynamic adaptive multi-model benchmarking framework for abstractive text summarization,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-02T12:24:51.912868Z

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Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.