{"as_of":"2026-08-09T16:52:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:37664f94df15d3b9dd998bdeed8498814ebe3498c2e1410c1ca8d40d62f7a82a","coverage":[{"denominator":26,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":26,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-02T12:24:51.912868Z","state":"measured"},{"denominator":26,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":26,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2606.05494/citation-record","integrity":"/paper/2606.05494/integrity","json":"/paper/2606.05494/citation-record.json","paper":"/paper/2606.05494"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:24:51.777925Z","title":"Summn: A multi-stage summarization frame- work for long input dialogues and documents,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.05494","last_updated":"2026-07-14T18:05:16Z","snapshot_observed_at":"2026-08-07T16:36:08.145737Z","submitted_at":"2026-06-03T22:34:40Z","title":"A Multi-Model Metric-based Selection Framework for Abstractive Text summarization","version":4},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-02T12:24:51.777925Z"},"links":{"citing_paper":"/paper/2606.05494"},"observation_digest":"sha256:a0e1967d47848ad54cf632ba0ca6b1cac504e8ea5f958c419263fa120d440e49","observation_id":"2343320c-ab9d-4446-ac80-b254e1cc17d1","resolution":{"observed_at":"2026-08-02T12:24:51.777925Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:24:51.784973Z","title":"Chatgpt vs human-authored text: Insights into controllable text summarization and sentence style transfer,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.05494","last_updated":"2026-07-14T18:05:16Z","snapshot_observed_at":"2026-08-07T16:36:08.145737Z","submitted_at":"2026-06-03T22:34:40Z","title":"A Multi-Model Metric-based Selection Framework for Abstractive Text summarization","version":4},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-02T12:24:51.784973Z"},"links":{"citing_paper":"/paper/2606.05494"},"observation_digest":"sha256:697eb891280f2c75aa2d3f0ad0764150c11d30be138315656476cc53c9909b06","observation_id":"a3a1d777-4f0b-4db1-b47b-a65436912897","resolution":{"observed_at":"2026-08-02T12:24:51.784973Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:24:51.790075Z","title":"Domain adaptation with pre-trained transformers for query-focused abstractive text summariza- tion,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.05494","last_updated":"2026-07-14T18:05:16Z","snapshot_observed_at":"2026-08-07T16:36:08.145737Z","submitted_at":"2026-06-03T22:34:40Z","title":"A Multi-Model Metric-based Selection Framework for Abstractive Text summarization","version":4},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-02T12:24:51.790075Z"},"links":{"citing_paper":"/paper/2606.05494"},"observation_digest":"sha256:d8b0e2db84449f6c38615fb31381da2468d6bd71d24cf137177cb75201ed309a","observation_id":"8e9dd83d-e691-4d0f-bcd3-318e4734136b","resolution":{"observed_at":"2026-08-02T12:24:51.790075Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.10449","last_updated":"2023-10-17T19:54:16Z","snapshot_observed_at":"2026-08-07T11:13:16.678880Z","submitted_at":"2023-10-16T14:33:02Z","title":"Text Summarization Using Large Language Models: A Comparative Study of MPT-7b-instruct, Falcon-7b-instruct, and OpenAI Chat-GPT Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.10449","snapshot_observed_at":"2026-08-02T12:24:51.795113Z","title":"Text summarization using large language models: A comparative study of mpt-7b-instruct, falcon- 7b-instruct, and openai chat-gpt models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.05494","last_updated":"2026-07-14T18:05:16Z","snapshot_observed_at":"2026-08-07T16:36:08.145737Z","submitted_at":"2026-06-03T22:34:40Z","title":"A Multi-Model Metric-based Selection Framework for Abstractive Text summarization","version":4},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-02T12:24:51.795113Z"},"links":{"cited_paper":"/paper/2310.10449","citing_paper":"/paper/2606.05494"},"observation_digest":"sha256:110222c0571e5ae0231cea413618e35b1335aa0201eb60677031b7249529d8ab","observation_id":"48e95cc0-9f37-45c8-9dad-8695c50bd092","resolution":{"observed_at":"2026-08-02T12:24:51.795113Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:24:51.800930Z","title":"Abstractive meeting summarization: A survey,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.05494","last_updated":"2026-07-14T18:05:16Z","snapshot_observed_at":"2026-08-07T16:36:08.145737Z","submitted_at":"2026-06-03T22:34:40Z","title":"A Multi-Model Metric-based Selection Framework for Abstractive Text summarization","version":4},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-02T12:24:51.800930Z"},"links":{"citing_paper":"/paper/2606.05494"},"observation_digest":"sha256:a45860d8f32b2f11ecb5ce696213f2b26b56d70a2d7323604692ad96d3f78160","observation_id":"a8a836e5-3a8c-49b3-84f6-6ebc7dbd1c1a","resolution":{"observed_at":"2026-08-02T12:24:51.800930Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:24:51.806865Z","title":"Anlirika: An LSTM–CNN flow twister for spoken language identification,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.05494","last_updated":"2026-07-14T18:05:16Z","snapshot_observed_at":"2026-08-07T16:36:08.145737Z","submitted_at":"2026-06-03T22:34:40Z","title":"A Multi-Model Metric-based Selection Framework for Abstractive Text summarization","version":4},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-02T12:24:51.806865Z"},"links":{"citing_paper":"/paper/2606.05494"},"observation_digest":"sha256:3235bb6d03e9b0ea9fd32b50a66512ff3fdc34e0e352d3c7758675bacb7240f4","observation_id":"8c8b3be5-ebd4-4be6-b7f0-ad3a9f85bbff","resolution":{"observed_at":"2026-08-02T12:24:51.806865Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:24:51.815420Z","title":"Riro: Reshaping inputs, refining outputs unlocking the potential of large language models in data-scarce contexts,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.05494","last_updated":"2026-07-14T18:05:16Z","snapshot_observed_at":"2026-08-07T16:36:08.145737Z","submitted_at":"2026-06-03T22:34:40Z","title":"A Multi-Model Metric-based Selection Framework for Abstractive Text summarization","version":4},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-02T12:24:51.815420Z"},"links":{"citing_paper":"/paper/2606.05494"},"observation_digest":"sha256:2749065865a63f98c8ad9bc277887c4d3434199958c6d50e10292f1f9b0c107c","observation_id":"d64bbcd5-fdd8-4342-bf30-390bf40d2b07","resolution":{"observed_at":"2026-08-02T12:24:51.815420Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:24:51.820767Z","title":"Au- tomatic text summarization: A comprehensive survey,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.05494","last_updated":"2026-07-14T18:05:16Z","snapshot_observed_at":"2026-08-07T16:36:08.145737Z","submitted_at":"2026-06-03T22:34:40Z","title":"A Multi-Model Metric-based Selection Framework for Abstractive Text summarization","version":4},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-02T12:24:51.820767Z"},"links":{"citing_paper":"/paper/2606.05494"},"observation_digest":"sha256:64969c0666e85744c61a6aa5f434d235c1141481cbfaaca85c03902001b9e811","observation_id":"ce5aa72b-84f2-49cf-8b93-278056595c8e","resolution":{"observed_at":"2026-08-02T12:24:51.820767Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:24:51.826401Z","title":"A comprehensive survey on automatic text summarization with exploration of llm-based methods,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.05494","last_updated":"2026-07-14T18:05:16Z","snapshot_observed_at":"2026-08-07T16:36:08.145737Z","submitted_at":"2026-06-03T22:34:40Z","title":"A Multi-Model Metric-based Selection Framework for Abstractive Text summarization","version":4},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-02T12:24:51.826401Z"},"links":{"citing_paper":"/paper/2606.05494"},"observation_digest":"sha256:b136a7bbc62f4cb89314b36b747dd5c5c0f33a7df16cfcaebaa9109286b80c79","observation_id":"40b025cd-d05a-4e0a-9d3c-3caf29ca2b30","resolution":{"observed_at":"2026-08-02T12:24:51.826401Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:24:51.831592Z","title":"A survey of automatic text summarization using graph neural networks,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.05494","last_updated":"2026-07-14T18:05:16Z","snapshot_observed_at":"2026-08-07T16:36:08.145737Z","submitted_at":"2026-06-03T22:34:40Z","title":"A Multi-Model Metric-based Selection Framework for Abstractive Text summarization","version":4},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-02T12:24:51.831592Z"},"links":{"citing_paper":"/paper/2606.05494"},"observation_digest":"sha256:0ee4488133a4f03869a1e1896c8d4622fe8cef1a4a9b3c6de836722d8b8ba25e","observation_id":"19e78a96-636e-4742-9ac5-2928a4b12c20","resolution":{"observed_at":"2026-08-02T12:24:51.831592Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:24:51.836808Z","title":"Balancing factual con- sistency and diversity in abstractive summarization via model-agnostic composite reranking,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.05494","last_updated":"2026-07-14T18:05:16Z","snapshot_observed_at":"2026-08-07T16:36:08.145737Z","submitted_at":"2026-06-03T22:34:40Z","title":"A Multi-Model Metric-based Selection Framework for Abstractive Text summarization","version":4},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-02T12:24:51.836808Z"},"links":{"citing_paper":"/paper/2606.05494"},"observation_digest":"sha256:e012e78e608eb7c5f9fe1c54c4248f984c0f417bc4ca5785c9a9cdc41c1e0810","observation_id":"054764f1-116f-4425-bc52-c4066f7b4c5b","resolution":{"observed_at":"2026-08-02T12:24:51.836808Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:24:51.841666Z","title":"Abstractive text summarization: State of the art, challenges, and improvements,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.05494","last_updated":"2026-07-14T18:05:16Z","snapshot_observed_at":"2026-08-07T16:36:08.145737Z","submitted_at":"2026-06-03T22:34:40Z","title":"A Multi-Model Metric-based Selection Framework for Abstractive Text summarization","version":4},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-02T12:24:51.841666Z"},"links":{"citing_paper":"/paper/2606.05494"},"observation_digest":"sha256:9b4bc86d25b4dba8e1dd9d94937a3daa15cd93c414dbc4da68321f23b73096f8","observation_id":"b03cc811-bfb3-46ca-9c96-5421fdb29467","resolution":{"observed_at":"2026-08-02T12:24:51.841666Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:24:51.846859Z","title":"Lexisem: A re- ranker balancing lexical and semantic quality for enhanced abstractive summarization,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.05494","last_updated":"2026-07-14T18:05:16Z","snapshot_observed_at":"2026-08-07T16:36:08.145737Z","submitted_at":"2026-06-03T22:34:40Z","title":"A Multi-Model Metric-based Selection Framework for Abstractive Text summarization","version":4},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-02T12:24:51.846859Z"},"links":{"citing_paper":"/paper/2606.05494"},"observation_digest":"sha256:8ea067f44c0a768398fd1e4b88df0ab0edc3fe327448deaa9a4283341dd7cf28","observation_id":"472d27b4-511a-40c9-9baf-e597eb7bbb16","resolution":{"observed_at":"2026-08-02T12:24:51.846859Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:24:51.852119Z","title":"Automatic text summarization using soft- cosine similarity and centrality measures,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2606.05494","last_updated":"2026-07-14T18:05:16Z","snapshot_observed_at":"2026-08-07T16:36:08.145737Z","submitted_at":"2026-06-03T22:34:40Z","title":"A Multi-Model Metric-based Selection Framework for Abstractive Text summarization","version":4},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-02T12:24:51.852119Z"},"links":{"citing_paper":"/paper/2606.05494"},"observation_digest":"sha256:8aaa399c2fe76e7ae96de0b3dadfd0f27440a36ecf9f4d4982c29e3a30b6e84a","observation_id":"58aba479-86ed-4208-8c8c-de166713a49d","resolution":{"observed_at":"2026-08-02T12:24:51.852119Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:24:51.857210Z","title":"Ranksum—an unsupervised extractive text summarization based on rank fusion,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.05494","last_updated":"2026-07-14T18:05:16Z","snapshot_observed_at":"2026-08-07T16:36:08.145737Z","submitted_at":"2026-06-03T22:34:40Z","title":"A Multi-Model Metric-based Selection Framework for Abstractive Text summarization","version":4},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-02T12:24:51.857210Z"},"links":{"citing_paper":"/paper/2606.05494"},"observation_digest":"sha256:cbf76b41666bff6d98c151e42e47d331876be1ef3984ff2b8390715898a413bf","observation_id":"30181438-1d53-4374-b7ac-a82f5ca250fd","resolution":{"observed_at":"2026-08-02T12:24:51.857210Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:24:51.862343Z","title":"Extractive summarization using extended TextRank algorithm,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.05494","last_updated":"2026-07-14T18:05:16Z","snapshot_observed_at":"2026-08-07T16:36:08.145737Z","submitted_at":"2026-06-03T22:34:40Z","title":"A Multi-Model Metric-based Selection Framework for Abstractive Text summarization","version":4},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-02T12:24:51.862343Z"},"links":{"citing_paper":"/paper/2606.05494"},"observation_digest":"sha256:8d4d589d5bb6782b1368049e4ff2400d0b8db926db563ae8553282248cc4c596","observation_id":"500d2ab3-d761-4b7d-8bad-bce0c3cd0c26","resolution":{"observed_at":"2026-08-02T12:24:51.862343Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:24:51.867776Z","title":"A topic modeled un- supervised approach to single document extractive text summarization,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.05494","last_updated":"2026-07-14T18:05:16Z","snapshot_observed_at":"2026-08-07T16:36:08.145737Z","submitted_at":"2026-06-03T22:34:40Z","title":"A Multi-Model Metric-based Selection Framework for Abstractive Text summarization","version":4},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-02T12:24:51.867776Z"},"links":{"citing_paper":"/paper/2606.05494"},"observation_digest":"sha256:c5f0c1dedbacaa13781136a10a2ed74b8b3c08eb83ef2d6b6cb5d7ded26d2cb7","observation_id":"b09cf823-fe9c-43d6-bd0e-b506a03886f3","resolution":{"observed_at":"2026-08-02T12:24:51.867776Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:24:51.872764Z","title":"Bidirectional lstm networks for abstractive text summarization,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.05494","last_updated":"2026-07-14T18:05:16Z","snapshot_observed_at":"2026-08-07T16:36:08.145737Z","submitted_at":"2026-06-03T22:34:40Z","title":"A Multi-Model Metric-based Selection Framework for Abstractive Text summarization","version":4},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-02T12:24:51.872764Z"},"links":{"citing_paper":"/paper/2606.05494"},"observation_digest":"sha256:96666294ae8fa0eaf8d30a5fd5efea24f11e9606dcb1d0d37d4cbb9736328af8","observation_id":"54cd8f13-a166-4b4d-870b-85620bdf211e","resolution":{"observed_at":"2026-08-02T12:24:51.872764Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:24:51.877629Z","title":"Summfactscore: A claim-centric framework forreference-free factual consistency evalu- ation inlong-document summarization,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.05494","last_updated":"2026-07-14T18:05:16Z","snapshot_observed_at":"2026-08-07T16:36:08.145737Z","submitted_at":"2026-06-03T22:34:40Z","title":"A Multi-Model Metric-based Selection Framework for Abstractive Text summarization","version":4},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-02T12:24:51.877629Z"},"links":{"citing_paper":"/paper/2606.05494"},"observation_digest":"sha256:7b3cc8d5017c5d66073993d52683ca289d22699c7c8fba491e5d710216875140","observation_id":"4f838626-55e5-4038-8496-bda8cc2ffaa8","resolution":{"observed_at":"2026-08-02T12:24:51.877629Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:24:51.882639Z","title":"Discourse-aware neural extractive text summarization,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2606.05494","last_updated":"2026-07-14T18:05:16Z","snapshot_observed_at":"2026-08-07T16:36:08.145737Z","submitted_at":"2026-06-03T22:34:40Z","title":"A Multi-Model Metric-based Selection Framework for Abstractive Text summarization","version":4},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-02T12:24:51.882639Z"},"links":{"citing_paper":"/paper/2606.05494"},"observation_digest":"sha256:c6db1ddda469a5ced32584784816cac32d380a753c0ec1ac5c5b54efbf2feaf1","observation_id":"49adb2aa-b14a-4793-85dc-12f118397b6e","resolution":{"observed_at":"2026-08-02T12:24:51.882639Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:24:51.888079Z","title":"Deep learning for text summarization using nlp for automated news digest,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.05494","last_updated":"2026-07-14T18:05:16Z","snapshot_observed_at":"2026-08-07T16:36:08.145737Z","submitted_at":"2026-06-03T22:34:40Z","title":"A Multi-Model Metric-based Selection Framework for Abstractive Text summarization","version":4},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-02T12:24:51.888079Z"},"links":{"citing_paper":"/paper/2606.05494"},"observation_digest":"sha256:64b024ddf6f3ac2e869d0b4c553030c7c920a03780c9523a7a28e7d9ec3d8bff","observation_id":"6b918c14-6e51-4e99-ae4e-627c323b9b3b","resolution":{"observed_at":"2026-08-02T12:24:51.888079Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:24:51.893179Z","title":"Extractive summarization as text matching,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2606.05494","last_updated":"2026-07-14T18:05:16Z","snapshot_observed_at":"2026-08-07T16:36:08.145737Z","submitted_at":"2026-06-03T22:34:40Z","title":"A Multi-Model Metric-based Selection Framework for Abstractive Text summarization","version":4},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-02T12:24:51.893179Z"},"links":{"citing_paper":"/paper/2606.05494"},"observation_digest":"sha256:d862211fa4484a89a6d020fa8d5433366c801a994af4e1b11b9681f742055973","observation_id":"22214d2a-256c-464b-abb5-9151304e3ed9","resolution":{"observed_at":"2026-08-02T12:24:51.893179Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:24:51.898202Z","title":"Adapted large language models can outperform medical experts in clinical text summarization,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.05494","last_updated":"2026-07-14T18:05:16Z","snapshot_observed_at":"2026-08-07T16:36:08.145737Z","submitted_at":"2026-06-03T22:34:40Z","title":"A Multi-Model Metric-based Selection Framework for Abstractive Text summarization","version":4},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-02T12:24:51.898202Z"},"links":{"citing_paper":"/paper/2606.05494"},"observation_digest":"sha256:49fdc7de5a212f7f1abc47cde3daf65e7c2120cfee74a4094e43cdfa9907b273","observation_id":"882c30e2-2e92-4d2b-80c4-1353f76578bb","resolution":{"observed_at":"2026-08-02T12:24:51.898202Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:24:51.903028Z","title":"A survey on cross-lingual summarization,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.05494","last_updated":"2026-07-14T18:05:16Z","snapshot_observed_at":"2026-08-07T16:36:08.145737Z","submitted_at":"2026-06-03T22:34:40Z","title":"A Multi-Model Metric-based Selection Framework for Abstractive Text summarization","version":4},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-02T12:24:51.903028Z"},"links":{"citing_paper":"/paper/2606.05494"},"observation_digest":"sha256:e75a71c95fba230043427ea1444744402313f79e618877f26b506faa0d60e40d","observation_id":"a49c36f0-cf3a-4c0b-9641-6ac66be828ff","resolution":{"observed_at":"2026-08-02T12:24:51.903028Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2209.12356","last_updated":"2023-05-23T22:52:18Z","snapshot_observed_at":"2026-08-06T16:34:39.763163Z","submitted_at":"2022-09-26T01:04:52Z","title":"News Summarization and Evaluation in the Era of GPT-3","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.12356","snapshot_observed_at":"2026-08-02T12:24:51.907682Z","title":"News summarization and evaluation in the era of gpt-3,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.05494","last_updated":"2026-07-14T18:05:16Z","snapshot_observed_at":"2026-08-07T16:36:08.145737Z","submitted_at":"2026-06-03T22:34:40Z","title":"A Multi-Model Metric-based Selection Framework for Abstractive Text summarization","version":4},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-02T12:24:51.907682Z"},"links":{"cited_paper":"/paper/2209.12356","citing_paper":"/paper/2606.05494"},"observation_digest":"sha256:b041eb4f48b3ffde13b4357e25b28b0be44c40cd668c53013cbf2ee2ec2edc61","observation_id":"750694ee-8c26-4bd1-b85f-63cd770a0e9f","resolution":{"observed_at":"2026-08-02T12:24:51.907682Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:24:51.912868Z","title":"Damb: A dynamic adaptive multi-model benchmarking framework for abstractive text summarization,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.05494","last_updated":"2026-07-14T18:05:16Z","snapshot_observed_at":"2026-08-07T16:36:08.145737Z","submitted_at":"2026-06-03T22:34:40Z","title":"A Multi-Model Metric-based Selection Framework for Abstractive Text summarization","version":4},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-02T12:24:51.912868Z"},"links":{"citing_paper":"/paper/2606.05494"},"observation_digest":"sha256:2ee15822e3213043027561ae463614d1dbf422c4caf4a8abf00459f6674ac908","observation_id":"4115ab0b-3c7c-4a1a-a7c3-07459be3eaf2","resolution":{"observed_at":"2026-08-02T12:24:51.912868Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2606.05494","last_updated":"2026-07-14T18:05:16Z","latest_version":4,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-07T16:36:08.145737Z","submitted_at":"2026-06-03T22:34:40Z","title":"A Multi-Model Metric-based Selection Framework for Abstractive Text summarization"},"reference_resolution":{"displayed":26,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":26,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":26},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"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."}