{"as_of":"2026-08-09T02:53:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:88561abd1824afbbb6da8fdc9d7395c856d713b56ba2274a95c3bc25e7293309","coverage":[{"denominator":70,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":70,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T18:37:55.135579Z","state":"measured"},{"denominator":70,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":70,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+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/2509.09852/citation-record","integrity":"/paper/2509.09852/integrity","json":"/paper/2509.09852/citation-record.json","paper":"/paper/2509.09852"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:37:54.932687Z","title":"online\" 'onlinestring :=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.09852","last_updated":"2025-09-11T21:01:54Z","snapshot_observed_at":"2026-08-07T20:35:30.452523Z","submitted_at":"2025-09-11T21:01:54Z","title":"Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-04T18:37:54.932687Z"},"links":{"citing_paper":"/paper/2509.09852"},"observation_digest":"sha256:ec7da1ddaf08af09599b60ec9c88af5f24a8d8d9765f94e14ccdc34102793030","observation_id":"8e123040-9366-4020-983b-51a442345df4","resolution":{"observed_at":"2026-08-04T18:37:54.932687Z","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":"2026-08-04T18:37:54.936434Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.09852","last_updated":"2025-09-11T21:01:54Z","snapshot_observed_at":"2026-08-07T20:35:30.452523Z","submitted_at":"2025-09-11T21:01:54Z","title":"Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-04T18:37:54.936434Z"},"links":{"citing_paper":"/paper/2509.09852"},"observation_digest":"sha256:ff3908e097b35105c1ba77bb232c781df4d1d14dbb19a1b067a35f29d6728c0d","observation_id":"27993617-efa5-4f0e-b5ac-856b4ce47c5b","resolution":{"observed_at":"2026-08-04T18:37:54.936434Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.08774","last_updated":"2024-03-04T06:01:33Z","snapshot_observed_at":"2026-08-07T07:30:12.213965Z","submitted_at":"2023-03-15T17:15:04Z","title":"GPT-4 Technical Report","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08774","snapshot_observed_at":"2026-08-04T18:37:54.939573Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.09852","last_updated":"2025-09-11T21:01:54Z","snapshot_observed_at":"2026-08-07T20:35:30.452523Z","submitted_at":"2025-09-11T21:01:54Z","title":"Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-04T18:37:54.939573Z"},"links":{"cited_paper":"/paper/2303.08774","citing_paper":"/paper/2509.09852"},"observation_digest":"sha256:686f7062bdc86f734679d8785d67206aa61a89770e4704dc02f6f30d1b828013","observation_id":"f128fc74-26d0-4476-9f12-0b228d9821ce","resolution":{"observed_at":"2026-08-04T18:37:54.939573Z","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":"10.18653/v1/2023.emnlp-main.121","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":null,"work_id":"405bf6c0-b7d3-4f58-bf64-ca9c5d1b8b6d","year":2023},"citing_paper":{"arxiv_id":"2509.09852","last_updated":"2025-09-11T21:01:54Z","snapshot_observed_at":"2026-08-07T20:35:30.452523Z","submitted_at":"2025-09-11T21:01:54Z","title":"Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-04T18:37:54.943368Z"},"links":{"citing_paper":"/paper/2509.09852"},"observation_digest":"sha256:81a7dbb48e6f302eb9af743d9dabec28337fa42f99f66c1a534f650cc353111d","observation_id":"b0755606-5acc-4dcc-a2a3-b1a49886d1c2","resolution":{"observed_at":"2026-08-04T18:38:37.849504Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.05961","last_updated":"2024-08-21T22:46:05Z","snapshot_observed_at":"2026-08-08T03:53:14.177644Z","submitted_at":"2024-04-09T02:51:05Z","title":"LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.05961","snapshot_observed_at":"2026-08-04T18:37:54.946479Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.09852","last_updated":"2025-09-11T21:01:54Z","snapshot_observed_at":"2026-08-07T20:35:30.452523Z","submitted_at":"2025-09-11T21:01:54Z","title":"Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-04T18:37:54.946479Z"},"links":{"cited_paper":"/paper/2404.05961","citing_paper":"/paper/2509.09852"},"observation_digest":"sha256:8869e823e0f9dc72c5aecdd0d86359f47f1bb434f28985179e9b70a52a697987","observation_id":"84482a07-86cd-402f-b69b-e7bf781c5ddb","resolution":{"observed_at":"2026-08-04T18:37:54.946479Z","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":"2026-08-04T18:37:54.949353Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.09852","last_updated":"2025-09-11T21:01:54Z","snapshot_observed_at":"2026-08-07T20:35:30.452523Z","submitted_at":"2025-09-11T21:01:54Z","title":"Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-04T18:37:54.949353Z"},"links":{"citing_paper":"/paper/2509.09852"},"observation_digest":"sha256:8ebb06272fae0eb3e34ee49deadd548fc404a73e5a3965d9b37a5d57e18ed1c1","observation_id":"6bac725c-2dfd-4067-a0de-60edad493e92","resolution":{"observed_at":"2026-08-04T18:37:54.949353Z","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":"2026-08-04T18:37:54.952230Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.09852","last_updated":"2025-09-11T21:01:54Z","snapshot_observed_at":"2026-08-07T20:35:30.452523Z","submitted_at":"2025-09-11T21:01:54Z","title":"Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-04T18:37:54.952230Z"},"links":{"citing_paper":"/paper/2509.09852"},"observation_digest":"sha256:f059e19da8179b9e655eb0f351d4a9b70dac15eff568548e75e2f8deecc2d8e9","observation_id":"2f9031bd-2279-46f8-96cb-c5ba6b264c04","resolution":{"observed_at":"2026-08-04T18:37:54.952230Z","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":"2026-08-04T18:37:54.954972Z","title":null,"venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2509.09852","last_updated":"2025-09-11T21:01:54Z","snapshot_observed_at":"2026-08-07T20:35:30.452523Z","submitted_at":"2025-09-11T21:01:54Z","title":"Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-04T18:37:54.954972Z"},"links":{"citing_paper":"/paper/2509.09852"},"observation_digest":"sha256:1ac2507f2b09882508611544e7579dd0dc62c35415535bfcf17e68bd91fa2204","observation_id":"69b96d60-dddc-436f-b416-65c226628a09","resolution":{"observed_at":"2026-08-04T18:37:54.954972Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.20592","last_updated":"2025-05-19T22:03:52Z","snapshot_observed_at":"2026-08-07T17:41:25.226085Z","submitted_at":"2025-02-27T23:34:47Z","title":"Multi2: Multi-Agent Test-Time Scalable Framework for Multi-Document Processing","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.20592","snapshot_observed_at":"2026-08-04T18:37:54.957762Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.09852","last_updated":"2025-09-11T21:01:54Z","snapshot_observed_at":"2026-08-07T20:35:30.452523Z","submitted_at":"2025-09-11T21:01:54Z","title":"Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-04T18:37:54.957762Z"},"links":{"cited_paper":"/paper/2502.20592","citing_paper":"/paper/2509.09852"},"observation_digest":"sha256:45329c50e160e9760df0a423a8a0c29c5adbc37c97c0ef6f6412201af5bd302a","observation_id":"9f03312d-a6bb-45db-8d26-3654c45724ed","resolution":{"observed_at":"2026-08-04T18:37:54.957762Z","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":"2026-08-04T18:37:54.960678Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.09852","last_updated":"2025-09-11T21:01:54Z","snapshot_observed_at":"2026-08-07T20:35:30.452523Z","submitted_at":"2025-09-11T21:01:54Z","title":"Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-04T18:37:54.960678Z"},"links":{"citing_paper":"/paper/2509.09852"},"observation_digest":"sha256:763e1011bef4b9f464709b4cab226f52fc9c9b991b3097b965c9defd1cc047c3","observation_id":"3f180606-5c0e-455f-928c-3628b7ad95d1","resolution":{"observed_at":"2026-08-04T18:37:54.960678Z","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":"2026-08-04T18:37:54.963685Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2509.09852","last_updated":"2025-09-11T21:01:54Z","snapshot_observed_at":"2026-08-07T20:35:30.452523Z","submitted_at":"2025-09-11T21:01:54Z","title":"Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-04T18:37:54.963685Z"},"links":{"citing_paper":"/paper/2509.09852"},"observation_digest":"sha256:fa5a31ca78ac2a65157fc4a66b7b20e15b16c6a8a17c429d7b520c4781361b31","observation_id":"ebef1b7c-0fa4-4f6c-9492-7ee9d67c2a5d","resolution":{"observed_at":"2026-08-04T18:37:54.963685Z","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":"2026-08-04T18:37:54.966778Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2509.09852","last_updated":"2025-09-11T21:01:54Z","snapshot_observed_at":"2026-08-07T20:35:30.452523Z","submitted_at":"2025-09-11T21:01:54Z","title":"Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-04T18:37:54.966778Z"},"links":{"citing_paper":"/paper/2509.09852"},"observation_digest":"sha256:79e7f0066964d969f350a3e7f04e998c91db041fd30d5e45f5e042c3f3a53153","observation_id":"5ee19763-2fda-4180-b3eb-ed0b45568f26","resolution":{"observed_at":"2026-08-04T18:37:54.966778Z","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":"10.18653/v1/2021.findings-emnlp.126","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":null,"work_id":"f35a1a0f-b085-4067-babc-65ca7fb35fc5","year":2021},"citing_paper":{"arxiv_id":"2509.09852","last_updated":"2025-09-11T21:01:54Z","snapshot_observed_at":"2026-08-07T20:35:30.452523Z","submitted_at":"2025-09-11T21:01:54Z","title":"Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-04T18:37:54.969438Z"},"links":{"citing_paper":"/paper/2509.09852"},"observation_digest":"sha256:d70584e175a4a04944a5c206e2245723b1aecba56af5baa09aa19fd11dd73860","observation_id":"87c8324e-1f07-45f8-89f9-2bab5c376c56","resolution":{"observed_at":"2026-08-04T18:38:37.587206Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/2020.coling-main.468","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":null,"work_id":"f48ae631-c4a5-45d9-b487-4bbaefefb117","year":2020},"citing_paper":{"arxiv_id":"2509.09852","last_updated":"2025-09-11T21:01:54Z","snapshot_observed_at":"2026-08-07T20:35:30.452523Z","submitted_at":"2025-09-11T21:01:54Z","title":"Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-04T18:37:54.972095Z"},"links":{"citing_paper":"/paper/2509.09852"},"observation_digest":"sha256:22a14b388718f84ba05bb8c7537e1ef39d1161f2f1b6b995110a3a83d7f5bee1","observation_id":"b58f3bca-d430-4843-a8f7-903986b2ace2","resolution":{"observed_at":"2026-08-04T18:38:37.364754Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/2021.naacl-main.384","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":null,"work_id":"b2cd3e8a-2607-4eae-9999-ef48cca9267c","year":2021},"citing_paper":{"arxiv_id":"2509.09852","last_updated":"2025-09-11T21:01:54Z","snapshot_observed_at":"2026-08-07T20:35:30.452523Z","submitted_at":"2025-09-11T21:01:54Z","title":"Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-04T18:37:54.974580Z"},"links":{"citing_paper":"/paper/2509.09852"},"observation_digest":"sha256:6b2fbfba891d23e64ad6027dcaf43a9eec7fd4351abf7cff28f1319a8a22c6fd","observation_id":"696e8f3b-6d18-409d-b7a8-1d164d77626a","resolution":{"observed_at":"2026-08-04T18:38:37.095082Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:37:54.977345Z","title":null,"venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2509.09852","last_updated":"2025-09-11T21:01:54Z","snapshot_observed_at":"2026-08-07T20:35:30.452523Z","submitted_at":"2025-09-11T21:01:54Z","title":"Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-04T18:37:54.977345Z"},"links":{"citing_paper":"/paper/2509.09852"},"observation_digest":"sha256:430d0033cc4a8fc6f9a4571cef407ae8a3bae993ccc7875ccc0cdfc86d7d167b","observation_id":"975b36aa-6521-41e3-a5a5-488fbfca7ef2","resolution":{"observed_at":"2026-08-04T18:37:54.977345Z","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":"2026-08-04T18:37:54.979830Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2509.09852","last_updated":"2025-09-11T21:01:54Z","snapshot_observed_at":"2026-08-07T20:35:30.452523Z","submitted_at":"2025-09-11T21:01:54Z","title":"Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-04T18:37:54.979830Z"},"links":{"citing_paper":"/paper/2509.09852"},"observation_digest":"sha256:32df3beb0791d7251f571dd606bd0b4627751d4fc0fef4ebcc40e279304b2914","observation_id":"6d22f3e5-f712-4746-98d8-b8d87e9cd9d9","resolution":{"observed_at":"2026-08-04T18:37:54.979830Z","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":"2026-08-04T18:37:54.982476Z","title":"Fabbri, Wojciech Kry \\'s ci \\'n ski, Bryan McCann, Caiming Xiong, Richard Socher, and Dragomir Radev","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.09852","last_updated":"2025-09-11T21:01:54Z","snapshot_observed_at":"2026-08-07T20:35:30.452523Z","submitted_at":"2025-09-11T21:01:54Z","title":"Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-04T18:37:54.982476Z"},"links":{"citing_paper":"/paper/2509.09852"},"observation_digest":"sha256:e87c53f2e9238aa8e1e943220045e91930a1bdd6c74b18b53278def9517da235","observation_id":"37e21761-9b5e-47be-9f79-9c5c03828ead","resolution":{"observed_at":"2026-08-04T18:37:54.982476Z","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":"2026-08-04T18:37:54.984942Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.09852","last_updated":"2025-09-11T21:01:54Z","snapshot_observed_at":"2026-08-07T20:35:30.452523Z","submitted_at":"2025-09-11T21:01:54Z","title":"Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-04T18:37:54.984942Z"},"links":{"citing_paper":"/paper/2509.09852"},"observation_digest":"sha256:56efcfb5072056b268422041433ac9e23a9817a268a5d08d6eab74b62e214345","observation_id":"421dfb8e-d071-4007-a586-65ac5c2668fe","resolution":{"observed_at":"2026-08-04T18:37:54.984942Z","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":"2026-08-04T18:37:54.987609Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.09852","last_updated":"2025-09-11T21:01:54Z","snapshot_observed_at":"2026-08-07T20:35:30.452523Z","submitted_at":"2025-09-11T21:01:54Z","title":"Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-04T18:37:54.987609Z"},"links":{"citing_paper":"/paper/2509.09852"},"observation_digest":"sha256:513efae6311c28a0597dd9c5204d45574c7ac140e4a92f8c0d5e1326f12f079e","observation_id":"b2c6daf1-39df-4610-a389-969a778a8e28","resolution":{"observed_at":"2026-08-04T18:37:54.987609Z","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":"2026-08-04T18:37:54.990198Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.09852","last_updated":"2025-09-11T21:01:54Z","snapshot_observed_at":"2026-08-07T20:35:30.452523Z","submitted_at":"2025-09-11T21:01:54Z","title":"Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-04T18:37:54.990198Z"},"links":{"cited_paper":"/paper/2209.12356","citing_paper":"/paper/2509.09852"},"observation_digest":"sha256:257096534080206e904ea1c6b3db6907c2b998b60d9988d9d7e1f4f3c43d63c1","observation_id":"446e852a-244a-4e6c-bc67-66de2cc7e1d3","resolution":{"observed_at":"2026-08-04T18:37:54.990198Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.21783","last_updated":"2024-11-23T23:27:33Z","snapshot_observed_at":"2026-07-06T18:55:11.576666Z","submitted_at":"2024-07-31T17:54:27Z","title":"The Llama 3 Herd of Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.21783","snapshot_observed_at":"2026-08-04T18:37:54.992933Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.09852","last_updated":"2025-09-11T21:01:54Z","snapshot_observed_at":"2026-08-07T20:35:30.452523Z","submitted_at":"2025-09-11T21:01:54Z","title":"Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-04T18:37:54.992933Z"},"links":{"cited_paper":"/paper/2407.21783","citing_paper":"/paper/2509.09852"},"observation_digest":"sha256:2d4e0ebc1ed42c7fd5e9b1be1f5918bc6aaba6124699b80e860748ce03e13c67","observation_id":"80bf3e19-b4e1-4a6a-93b8-f3710be16860","resolution":{"observed_at":"2026-08-04T18:37:54.992933Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.12948","last_updated":"2026-01-04T03:57:36Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-01-22T15:19:35Z","title":"DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.12948","snapshot_observed_at":"2026-08-04T18:37:54.995858Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.09852","last_updated":"2025-09-11T21:01:54Z","snapshot_observed_at":"2026-08-07T20:35:30.452523Z","submitted_at":"2025-09-11T21:01:54Z","title":"Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-04T18:37:54.995858Z"},"links":{"cited_paper":"/paper/2501.12948","citing_paper":"/paper/2509.09852"},"observation_digest":"sha256:523140c4e74864edcd78774d4f38e6d5b79bb386febf733efc3dc4b6c1d50ad3","observation_id":"92e92acc-aa21-4e98-8d4c-d0c1ad36ac6a","resolution":{"observed_at":"2026-08-04T18:37:54.995858Z","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":"2026-08-04T18:37:54.998862Z","title":null,"venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2509.09852","last_updated":"2025-09-11T21:01:54Z","snapshot_observed_at":"2026-08-07T20:35:30.452523Z","submitted_at":"2025-09-11T21:01:54Z","title":"Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-04T18:37:54.998862Z"},"links":{"citing_paper":"/paper/2509.09852"},"observation_digest":"sha256:7e32b56989b88c9b015404850bebd3fb0aea80b336b592e89d658429fe17f67d","observation_id":"4776e303-3c22-4f8b-91bd-12fea2435057","resolution":{"observed_at":"2026-08-04T18:37:54.998862Z","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":"2026-08-04T18:37:55.001384Z","title":null,"venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2509.09852","last_updated":"2025-09-11T21:01:54Z","snapshot_observed_at":"2026-08-07T20:35:30.452523Z","submitted_at":"2025-09-11T21:01:54Z","title":"Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-04T18:37:55.001384Z"},"links":{"citing_paper":"/paper/2509.09852"},"observation_digest":"sha256:8f35ad31d3f87ee7b8dfecdd750f322f0cb7fb7e3b144dbdc15ae65fcbd8f58a","observation_id":"af72a5e7-d8ce-4481-bf26-930279b87571","resolution":{"observed_at":"2026-08-04T18:37:55.001384Z","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":"10.18653/v1/2022.emnlp-main.396","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":null,"work_id":"c62b9dde-b0af-4b3f-b71d-75dfc46cfd29","year":2022},"citing_paper":{"arxiv_id":"2509.09852","last_updated":"2025-09-11T21:01:54Z","snapshot_observed_at":"2026-08-07T20:35:30.452523Z","submitted_at":"2025-09-11T21:01:54Z","title":"Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-04T18:37:55.004152Z"},"links":{"citing_paper":"/paper/2509.09852"},"observation_digest":"sha256:8e8e2c1e785394f44dd658b5934f366be25ee22bf21cb77df279f208340dc86f","observation_id":"6790c909-fc2d-49c8-99be-36b19bc76b6b","resolution":{"observed_at":"2026-08-04T18:38:36.807053Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:37:55.006942Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2509.09852","last_updated":"2025-09-11T21:01:54Z","snapshot_observed_at":"2026-08-07T20:35:30.452523Z","submitted_at":"2025-09-11T21:01:54Z","title":"Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-04T18:37:55.006942Z"},"links":{"citing_paper":"/paper/2509.09852"},"observation_digest":"sha256:65ad50232e7a2b0bbf98e38a0067b3ff847d3544f11c17e4ab5f3b8b68ad1070","observation_id":"2d1f07e2-faa5-46b2-bf86-d53453a363f4","resolution":{"observed_at":"2026-08-04T18:37:55.006942Z","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":"2026-08-04T18:37:55.009873Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.09852","last_updated":"2025-09-11T21:01:54Z","snapshot_observed_at":"2026-08-07T20:35:30.452523Z","submitted_at":"2025-09-11T21:01:54Z","title":"Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-04T18:37:55.009873Z"},"links":{"citing_paper":"/paper/2509.09852"},"observation_digest":"sha256:1d65e97ccde8e8bfc478028a2026ee9575631db5f54c8799aa94b0be4311d971","observation_id":"9f9d56fa-0d3a-4bb5-8269-43081ee147d5","resolution":{"observed_at":"2026-08-04T18:37:55.009873Z","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":"2026-08-04T18:37:55.012568Z","title":"Bennett, and Marti A","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.09852","last_updated":"2025-09-11T21:01:54Z","snapshot_observed_at":"2026-08-07T20:35:30.452523Z","submitted_at":"2025-09-11T21:01:54Z","title":"Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-04T18:37:55.012568Z"},"links":{"citing_paper":"/paper/2509.09852"},"observation_digest":"sha256:24f0dbb20f92015e3b0c874f0ccc4b6ef052aa3c5c32f36ee4ffcc4dedfc0793","observation_id":"3f69425a-aca1-4eda-9875-ef5974256a33","resolution":{"observed_at":"2026-08-04T18:37:55.012568Z","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":"2026-08-04T18:37:55.015112Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.09852","last_updated":"2025-09-11T21:01:54Z","snapshot_observed_at":"2026-08-07T20:35:30.452523Z","submitted_at":"2025-09-11T21:01:54Z","title":"Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-04T18:37:55.015112Z"},"links":{"citing_paper":"/paper/2509.09852"},"observation_digest":"sha256:cb8c053d911283351cdb39037a403f68edae267c9874c8d9e15c645cac339a7f","observation_id":"0e7d8c55-932c-4778-ade5-0a0706551ca4","resolution":{"observed_at":"2026-08-04T18:37:55.015112Z","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":"2026-08-04T18:37:55.017730Z","title":null,"venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2509.09852","last_updated":"2025-09-11T21:01:54Z","snapshot_observed_at":"2026-08-07T20:35:30.452523Z","submitted_at":"2025-09-11T21:01:54Z","title":"Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-04T18:37:55.017730Z"},"links":{"citing_paper":"/paper/2509.09852"},"observation_digest":"sha256:f507e81012d22b91b7019d27d82b3259074dd871544d214edb0be4876ab1e350","observation_id":"0206c315-5aaa-4b53-a9d4-9b59e0ade36a","resolution":{"observed_at":"2026-08-04T18:37:55.017730Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.16086","last_updated":"2024-06-23T11:57:53Z","snapshot_observed_at":"2026-08-07T06:46:02.082943Z","submitted_at":"2024-06-23T11:57:53Z","title":"SEAM: A Stochastic Benchmark for Multi-Document Tasks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.16086","snapshot_observed_at":"2026-08-04T18:37:55.020402Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.09852","last_updated":"2025-09-11T21:01:54Z","snapshot_observed_at":"2026-08-07T20:35:30.452523Z","submitted_at":"2025-09-11T21:01:54Z","title":"Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-04T18:37:55.020402Z"},"links":{"cited_paper":"/paper/2406.16086","citing_paper":"/paper/2509.09852"},"observation_digest":"sha256:384a3585c351699f21c1a865cab1a8917875a8725eee5606638c52bf24776f60","observation_id":"717c806a-2536-4e8b-a504-769dc2b345a1","resolution":{"observed_at":"2026-08-04T18:37:55.020402Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.10115","last_updated":"2024-08-19T16:01:48Z","snapshot_observed_at":"2026-07-06T19:02:56.021845Z","submitted_at":"2024-08-19T16:01:48Z","title":"GLIMMER: Incorporating Graph and Lexical Features in Unsupervised Multi-Document Summarization","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.10115","snapshot_observed_at":"2026-08-04T18:37:55.023204Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.09852","last_updated":"2025-09-11T21:01:54Z","snapshot_observed_at":"2026-08-07T20:35:30.452523Z","submitted_at":"2025-09-11T21:01:54Z","title":"Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-04T18:37:55.023204Z"},"links":{"cited_paper":"/paper/2408.10115","citing_paper":"/paper/2509.09852"},"observation_digest":"sha256:126b525fc5aa97620fc098b3d62033b44c8c8d048765c131ddbcf3cf4b6fad6e","observation_id":"72c58c4d-59f0-4fa4-92ec-ea96918066ef","resolution":{"observed_at":"2026-08-04T18:37:55.023204Z","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":"10.18653/v1/p19-1500","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":null,"work_id":"c49f65e8-c579-4f11-9453-de291b3b5952","year":2019},"citing_paper":{"arxiv_id":"2509.09852","last_updated":"2025-09-11T21:01:54Z","snapshot_observed_at":"2026-08-07T20:35:30.452523Z","submitted_at":"2025-09-11T21:01:54Z","title":"Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-04T18:37:55.026081Z"},"links":{"citing_paper":"/paper/2509.09852"},"observation_digest":"sha256:216d516db9cda08a8e91e771170e006362542cd24d81fd863382ad29cf33f252","observation_id":"6a2ede43-cee0-40c0-ab69-5aaf3d5892ce","resolution":{"observed_at":"2026-08-04T18:38:36.595083Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:37:55.028884Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.09852","last_updated":"2025-09-11T21:01:54Z","snapshot_observed_at":"2026-08-07T20:35:30.452523Z","submitted_at":"2025-09-11T21:01:54Z","title":"Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-04T18:37:55.028884Z"},"links":{"citing_paper":"/paper/2509.09852"},"observation_digest":"sha256:a8d5985814bc671b2c5f8f2cfca080712835d7dd92028fee890822284b0feab6","observation_id":"7b848fed-d031-43dc-a2da-63ba045eb01c","resolution":{"observed_at":"2026-08-04T18:37:55.028884Z","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":"2026-08-04T18:37:55.032881Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.09852","last_updated":"2025-09-11T21:01:54Z","snapshot_observed_at":"2026-08-07T20:35:30.452523Z","submitted_at":"2025-09-11T21:01:54Z","title":"Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-04T18:37:55.032881Z"},"links":{"citing_paper":"/paper/2509.09852"},"observation_digest":"sha256:a4d675cf43ef9e68d55f42207fe473ae1cd444b53d0f8caec10cf727f338dce9","observation_id":"2dce4749-bc08-4832-8204-142c7b39911a","resolution":{"observed_at":"2026-08-04T18:37:55.032881Z","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":"2026-08-04T18:37:55.035809Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2509.09852","last_updated":"2025-09-11T21:01:54Z","snapshot_observed_at":"2026-08-07T20:35:30.452523Z","submitted_at":"2025-09-11T21:01:54Z","title":"Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-04T18:37:55.035809Z"},"links":{"citing_paper":"/paper/2509.09852"},"observation_digest":"sha256:8e0db3e41e689441d4f3ce78aec923f301ed4cbd198d8c8713c45b575cee5e76","observation_id":"11747713-c908-4d51-8da4-cbd69aeccd2c","resolution":{"observed_at":"2026-08-04T18:37:55.035809Z","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":"10.1145/3529754","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"ACM Computing Surveys","work_id":"e6c9c12c-d37e-4f7a-855f-f498b99e292a","year":2022},"citing_paper":{"arxiv_id":"2509.09852","last_updated":"2025-09-11T21:01:54Z","snapshot_observed_at":"2026-08-07T20:35:30.452523Z","submitted_at":"2025-09-11T21:01:54Z","title":"Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-04T18:37:55.038835Z"},"links":{"citing_paper":"/paper/2509.09852"},"observation_digest":"sha256:654f4d94d9112af7a86367dd5cfccdd179d5742ed1b2accafb35113858813890","observation_id":"5ff71bd4-001f-45a6-8541-5f3b0bf2abc3","resolution":{"observed_at":"2026-08-04T18:38:36.259147Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:37:55.041811Z","title":"Cohen, and Mirella Lapata","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2509.09852","last_updated":"2025-09-11T21:01:54Z","snapshot_observed_at":"2026-08-07T20:35:30.452523Z","submitted_at":"2025-09-11T21:01:54Z","title":"Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-04T18:37:55.041811Z"},"links":{"citing_paper":"/paper/2509.09852"},"observation_digest":"sha256:2ef9e34154873edc393603b5aef31acd9a27c5ed44c15e230d571c0902f9b9ee","observation_id":"44321e29-c492-4ee9-b791-fa52cc38e411","resolution":{"observed_at":"2026-08-04T18:37:55.041811Z","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":"10.1162/tacl_a_00583","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"Transactions of the Association for Computational Linguistics","work_id":"d93453e5-8d11-498b-ba6c-b745cbec9c5a","year":2023},"citing_paper":{"arxiv_id":"2509.09852","last_updated":"2025-09-11T21:01:54Z","snapshot_observed_at":"2026-08-07T20:35:30.452523Z","submitted_at":"2025-09-11T21:01:54Z","title":"Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-04T18:37:55.044736Z"},"links":{"citing_paper":"/paper/2509.09852"},"observation_digest":"sha256:55ede328f154ae31999cb278fb9bb950d093b6a11fa7d4b34c3f41ba689e47b2","observation_id":"27b3038b-bae4-4424-b3e9-46688c524050","resolution":{"observed_at":"2026-08-04T18:38:35.971627Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1162/tacl_a_00438/1979348/tacl_a_00438.pdf","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:38:35.501727Z","title":null,"venue":null,"work_id":"96296eb1-fc8f-46cf-8458-2583d1011b83","year":2021},"citing_paper":{"arxiv_id":"2509.09852","last_updated":"2025-09-11T21:01:54Z","snapshot_observed_at":"2026-08-07T20:35:30.452523Z","submitted_at":"2025-09-11T21:01:54Z","title":"Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-04T18:37:55.047558Z"},"links":{"citing_paper":"/paper/2509.09852"},"observation_digest":"sha256:e78bfde167d10524cca8e33838a290ef9dc93bf66d93dfe4fedd12c1c2ee107f","observation_id":"7064efb5-4bf1-4e24-a00e-6e72033e47df","resolution":{"observed_at":"2026-08-04T18:38:35.618144Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:37:55.050560Z","title":null,"venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2509.09852","last_updated":"2025-09-11T21:01:54Z","snapshot_observed_at":"2026-08-07T20:35:30.452523Z","submitted_at":"2025-09-11T21:01:54Z","title":"Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-04T18:37:55.050560Z"},"links":{"citing_paper":"/paper/2509.09852"},"observation_digest":"sha256:2e1de7ce2757f8c949d561e4075ed9a5a73d720cd6521d3b4c9047f1bd24dd47","observation_id":"4b3aebdd-b2b9-4dc6-8030-e1e6da2ff6fd","resolution":{"observed_at":"2026-08-04T18:37:55.050560Z","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":"2026-08-04T18:37:55.053462Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.09852","last_updated":"2025-09-11T21:01:54Z","snapshot_observed_at":"2026-08-07T20:35:30.452523Z","submitted_at":"2025-09-11T21:01:54Z","title":"Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-04T18:37:55.053462Z"},"links":{"citing_paper":"/paper/2509.09852"},"observation_digest":"sha256:74a10d1579ca72c42f2a6a28e6a27b0ddbd9552dc4d20d18bbee61cdcec2e4d5","observation_id":"c6066735-f05a-4039-bcf1-9aed73fd030c","resolution":{"observed_at":"2026-08-04T18:37:55.053462Z","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":"2026-08-04T18:37:55.056385Z","title":null,"venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2509.09852","last_updated":"2025-09-11T21:01:54Z","snapshot_observed_at":"2026-08-07T20:35:30.452523Z","submitted_at":"2025-09-11T21:01:54Z","title":"Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-04T18:37:55.056385Z"},"links":{"citing_paper":"/paper/2509.09852"},"observation_digest":"sha256:3d96321f0c2b0bce052ac31439a702b259459f651046c4c0827fd46248339dc9","observation_id":"c49137ae-d8a7-41b1-9082-c5d208cea82a","resolution":{"observed_at":"2026-08-04T18:37:55.056385Z","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":"10.18653/v1/n18-2102","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":null,"work_id":"51247ab9-1a40-4d65-9391-568d1b4e0682","year":2018},"citing_paper":{"arxiv_id":"2509.09852","last_updated":"2025-09-11T21:01:54Z","snapshot_observed_at":"2026-08-07T20:35:30.452523Z","submitted_at":"2025-09-11T21:01:54Z","title":"Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-04T18:37:55.059321Z"},"links":{"citing_paper":"/paper/2509.09852"},"observation_digest":"sha256:59491a16b819613a382e0160d2139e593b2cec4ce957a2bb71ae896c30b96605","observation_id":"54f471c4-7be8-4554-9538-268f18abd4c6","resolution":{"observed_at":"2026-08-04T18:38:35.341165Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1705.04304","last_updated":"2017-11-13T20:11:26Z","snapshot_observed_at":"2026-07-06T05:42:19.240971Z","submitted_at":"2017-05-11T17:39:35Z","title":"A Deep Reinforced Model for Abstractive Summarization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1705.04304","snapshot_observed_at":"2026-08-04T18:37:55.062279Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2509.09852","last_updated":"2025-09-11T21:01:54Z","snapshot_observed_at":"2026-08-07T20:35:30.452523Z","submitted_at":"2025-09-11T21:01:54Z","title":"Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-04T18:37:55.062279Z"},"links":{"cited_paper":"/paper/1705.04304","citing_paper":"/paper/2509.09852"},"observation_digest":"sha256:eff9f4acb08ff8173de485b2adea42030960001d0d8b2a0718c2502dcc27b581","observation_id":"0ec0d66b-abd0-4759-979a-6c0e10ddd27c","resolution":{"observed_at":"2026-08-04T18:37:55.062279Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.15115","last_updated":"2025-01-03T02:18:21Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-12-19T17:56:09Z","title":"Qwen2.5 Technical Report","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.15115","snapshot_observed_at":"2026-08-04T18:37:55.065414Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.09852","last_updated":"2025-09-11T21:01:54Z","snapshot_observed_at":"2026-08-07T20:35:30.452523Z","submitted_at":"2025-09-11T21:01:54Z","title":"Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-04T18:37:55.065414Z"},"links":{"cited_paper":"/paper/2412.15115","citing_paper":"/paper/2509.09852"},"observation_digest":"sha256:86896c4468ff8e42adb662173055a43cb2d2b787ea389d5db11df2da1a91024c","observation_id":"7784c14a-3e16-4766-94e0-9b7e058ffe37","resolution":{"observed_at":"2026-08-04T18:37:55.065414Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1511.06732","last_updated":"2016-05-06T21:18:46Z","snapshot_observed_at":"2026-07-31T03:58:50.695173Z","submitted_at":"2015-11-20T19:25:54Z","title":"Sequence Level Training with Recurrent Neural Networks","version":7},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1511.06732","snapshot_observed_at":"2026-08-04T18:37:55.068718Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2509.09852","last_updated":"2025-09-11T21:01:54Z","snapshot_observed_at":"2026-08-07T20:35:30.452523Z","submitted_at":"2025-09-11T21:01:54Z","title":"Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-04T18:37:55.068718Z"},"links":{"cited_paper":"/paper/1511.06732","citing_paper":"/paper/2509.09852"},"observation_digest":"sha256:183b70c49e8ce794cc5db946602f2151c8ef1804851f7f8685a49e202f1a58ba","observation_id":"c9dd77dc-ef2a-49eb-8834-b91814cbd7a9","resolution":{"observed_at":"2026-08-04T18:37:55.068718Z","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":"2026-08-04T18:37:55.071711Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2509.09852","last_updated":"2025-09-11T21:01:54Z","snapshot_observed_at":"2026-08-07T20:35:30.452523Z","submitted_at":"2025-09-11T21:01:54Z","title":"Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-04T18:37:55.071711Z"},"links":{"citing_paper":"/paper/2509.09852"},"observation_digest":"sha256:16583366cbff811541b3b902c20aaf4f0873faece79911b8c1d8231546719781","observation_id":"6f250e1b-5068-46a7-b9d3-53da7bdfacf4","resolution":{"observed_at":"2026-08-04T18:37:55.071711Z","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":"2026-08-04T18:37:55.074475Z","title":null,"venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2509.09852","last_updated":"2025-09-11T21:01:54Z","snapshot_observed_at":"2026-08-07T20:35:30.452523Z","submitted_at":"2025-09-11T21:01:54Z","title":"Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-04T18:37:55.074475Z"},"links":{"citing_paper":"/paper/2509.09852"},"observation_digest":"sha256:5fdaafc4f295b756528bcc24728882de65716836996a7d32ec6339199ecc1a4d","observation_id":"69a57bd8-8660-4b6a-95fa-31b852380ddb","resolution":{"observed_at":"2026-08-04T18:37:55.074475Z","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":"2026-08-04T18:37:55.077493Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.09852","last_updated":"2025-09-11T21:01:54Z","snapshot_observed_at":"2026-08-07T20:35:30.452523Z","submitted_at":"2025-09-11T21:01:54Z","title":"Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-04T18:37:55.077493Z"},"links":{"citing_paper":"/paper/2509.09852"},"observation_digest":"sha256:d270d19e5b81d9454b2d60ac21d5e3b33639a32759907f7feff5a8f1e34dd3dc","observation_id":"b1ce5533-43a7-40f0-a93c-156ed7d068d5","resolution":{"observed_at":"2026-08-04T18:37:55.077493Z","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":"2026-08-04T18:37:55.080609Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2509.09852","last_updated":"2025-09-11T21:01:54Z","snapshot_observed_at":"2026-08-07T20:35:30.452523Z","submitted_at":"2025-09-11T21:01:54Z","title":"Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-04T18:37:55.080609Z"},"links":{"citing_paper":"/paper/2509.09852"},"observation_digest":"sha256:28927c6126bdb660441bfcf163252e6e4951bcf2e7d38da0bc35f65861bb0457","observation_id":"c4d1ed95-af16-43d8-939d-4f0900b872e7","resolution":{"observed_at":"2026-08-04T18:37:55.080609Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.03300","last_updated":"2024-04-27T15:25:53Z","snapshot_observed_at":"2026-08-06T14:58:42.911363Z","submitted_at":"2024-02-05T18:55:32Z","title":"DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.03300","snapshot_observed_at":"2026-08-04T18:37:55.083675Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.09852","last_updated":"2025-09-11T21:01:54Z","snapshot_observed_at":"2026-08-07T20:35:30.452523Z","submitted_at":"2025-09-11T21:01:54Z","title":"Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-04T18:37:55.083675Z"},"links":{"cited_paper":"/paper/2402.03300","citing_paper":"/paper/2509.09852"},"observation_digest":"sha256:81ecaf3d6f90ee60884442859413a0ae00c63e4a6a7cde16e6debafbe763c316","observation_id":"418c39d3-aab7-4bee-95c8-38b5b7c78b90","resolution":{"observed_at":"2026-08-04T18:37:55.083675Z","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":"2026-08-04T18:37:55.087039Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2509.09852","last_updated":"2025-09-11T21:01:54Z","snapshot_observed_at":"2026-08-07T20:35:30.452523Z","submitted_at":"2025-09-11T21:01:54Z","title":"Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-04T18:37:55.087039Z"},"links":{"citing_paper":"/paper/2509.09852"},"observation_digest":"sha256:8fbcfe54a8ad3e46000787a3ee61bc81b8161b41f983466081a6e0bece9bf3d0","observation_id":"9db541cb-f7f2-4e76-bb7c-85a6cc3f2790","resolution":{"observed_at":"2026-08-04T18:37:55.087039Z","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":"2026-08-04T18:37:55.089841Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2509.09852","last_updated":"2025-09-11T21:01:54Z","snapshot_observed_at":"2026-08-07T20:35:30.452523Z","submitted_at":"2025-09-11T21:01:54Z","title":"Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-04T18:37:55.089841Z"},"links":{"citing_paper":"/paper/2509.09852"},"observation_digest":"sha256:5afc9b51832023781a159c2f209780297cd30839ea5c2027affd8e8092e1e901","observation_id":"d29818ca-1d02-4479-90ab-6750604282ca","resolution":{"observed_at":"2026-08-04T18:37:55.089841Z","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":"2026-08-04T18:37:55.092759Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2509.09852","last_updated":"2025-09-11T21:01:54Z","snapshot_observed_at":"2026-08-07T20:35:30.452523Z","submitted_at":"2025-09-11T21:01:54Z","title":"Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization","version":1},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-04T18:37:55.092759Z"},"links":{"citing_paper":"/paper/2509.09852"},"observation_digest":"sha256:5bf3d13797d66273478980402f02146264cffb0494f9db379cdcd76afc248cfa","observation_id":"c54f623a-50dc-4002-8d6b-2255c17d4676","resolution":{"observed_at":"2026-08-04T18:37:55.092759Z","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":"10.18653/v1/2024.findings-emnlp.983","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":null,"work_id":"c9eb6998-6809-4532-8c74-bc63a19b8f43","year":2024},"citing_paper":{"arxiv_id":"2509.09852","last_updated":"2025-09-11T21:01:54Z","snapshot_observed_at":"2026-08-07T20:35:30.452523Z","submitted_at":"2025-09-11T21:01:54Z","title":"Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-04T18:37:55.095671Z"},"links":{"citing_paper":"/paper/2509.09852"},"observation_digest":"sha256:d5e029e01b7957054f09e444a05562a9d12810a5b3c5181e963cbb4a0c7290a7","observation_id":"db04bc93-9e02-44c6-8b9e-081f2e92d736","resolution":{"observed_at":"2026-08-04T18:38:35.073844Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:37:55.098604Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.09852","last_updated":"2025-09-11T21:01:54Z","snapshot_observed_at":"2026-08-07T20:35:30.452523Z","submitted_at":"2025-09-11T21:01:54Z","title":"Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization","version":1},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-04T18:37:55.098604Z"},"links":{"citing_paper":"/paper/2509.09852"},"observation_digest":"sha256:0cc92a7d0eb9231a9c2b33871aa22c6a79fe6031f327fc83283169db4636280f","observation_id":"daca5df7-61c3-4c2c-8934-051794284935","resolution":{"observed_at":"2026-08-04T18:37:55.098604Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.14664","last_updated":"2025-09-12T17:21:39Z","snapshot_observed_at":"2026-08-08T12:41:04.105537Z","submitted_at":"2024-09-23T02:08:20Z","title":"Direct Judgement Preference Optimization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.14664","snapshot_observed_at":"2026-08-04T18:37:55.101448Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.09852","last_updated":"2025-09-11T21:01:54Z","snapshot_observed_at":"2026-08-07T20:35:30.452523Z","submitted_at":"2025-09-11T21:01:54Z","title":"Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization","version":1},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-08-04T18:37:55.101448Z"},"links":{"cited_paper":"/paper/2409.14664","citing_paper":"/paper/2509.09852"},"observation_digest":"sha256:de60fe0fd33a26cb23465279373cfdde25f0fd08b7e1b60141e181fde56000fc","observation_id":"528af9c1-db35-47db-bf29-2ccf5acd719e","resolution":{"observed_at":"2026-08-04T18:37:55.101448Z","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":"10.18653/v1/2020.emnlp-main.35","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":null,"work_id":"23fa35b6-0941-4d24-ab6f-ec726cbbfa09","year":2020},"citing_paper":{"arxiv_id":"2509.09852","last_updated":"2025-09-11T21:01:54Z","snapshot_observed_at":"2026-08-07T20:35:30.452523Z","submitted_at":"2025-09-11T21:01:54Z","title":"Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization","version":1},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-08-04T18:37:55.104698Z"},"links":{"citing_paper":"/paper/2509.09852"},"observation_digest":"sha256:27cc717270c61711d7718e61c06ad86aaf42e158cba547c117934b6e484b508b","observation_id":"754482f6-c45f-41e1-88bc-7ce5e905bb45","resolution":{"observed_at":"2026-08-04T18:38:34.804247Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:37:55.107685Z","title":null,"venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2509.09852","last_updated":"2025-09-11T21:01:54Z","snapshot_observed_at":"2026-08-07T20:35:30.452523Z","submitted_at":"2025-09-11T21:01:54Z","title":"Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization","version":1},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-08-04T18:37:55.107685Z"},"links":{"citing_paper":"/paper/2509.09852"},"observation_digest":"sha256:c022e7796e4b4f73bf1ab5742abfb8b34bffe2b094a27c23af8b43c9211905bd","observation_id":"bc0a04bb-806c-4c86-9429-004e5d9072c3","resolution":{"observed_at":"2026-08-04T18:37:55.107685Z","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":"2026-08-04T18:37:55.110523Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2509.09852","last_updated":"2025-09-11T21:01:54Z","snapshot_observed_at":"2026-08-07T20:35:30.452523Z","submitted_at":"2025-09-11T21:01:54Z","title":"Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization","version":1},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-08-04T18:37:55.110523Z"},"links":{"citing_paper":"/paper/2509.09852"},"observation_digest":"sha256:b2d887bf881649b78d4132e6bdd9c7c378c5acb0fc3e2f3a771b536c890ba241","observation_id":"9e31c8f4-5b7c-409e-abd9-6aa17d7d0e82","resolution":{"observed_at":"2026-08-04T18:37:55.110523Z","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":"10.18653/v1/2022.acl-long.360","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","work_id":"f43f9916-b0c6-43c2-9bf4-88c1b2d62524","year":2022},"citing_paper":{"arxiv_id":"2509.09852","last_updated":"2025-09-11T21:01:54Z","snapshot_observed_at":"2026-08-07T20:35:30.452523Z","submitted_at":"2025-09-11T21:01:54Z","title":"Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization","version":1},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-08-04T18:37:55.113515Z"},"links":{"citing_paper":"/paper/2509.09852"},"observation_digest":"sha256:bcc772d206c43943dd3433d0143c5d00235620d920c551f20fe037648963b09f","observation_id":"ec560527-21b8-4fe2-9980-9ae44ea49c45","resolution":{"observed_at":"2026-08-04T18:38:34.590690Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.13346","last_updated":"2025-06-18T16:58:25Z","snapshot_observed_at":"2026-08-07T15:43:02.729974Z","submitted_at":"2025-05-19T16:50:35Z","title":"J4R: Learning to Judge with Equivalent Initial State Group Relative Policy Optimization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.13346","snapshot_observed_at":"2026-08-04T18:37:55.117220Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.09852","last_updated":"2025-09-11T21:01:54Z","snapshot_observed_at":"2026-08-07T20:35:30.452523Z","submitted_at":"2025-09-11T21:01:54Z","title":"Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization","version":1},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-08-04T18:37:55.117220Z"},"links":{"cited_paper":"/paper/2505.13346","citing_paper":"/paper/2509.09852"},"observation_digest":"sha256:b6a4955bcc6f205e3236b223518568c5f563ed882d2282741badfa5055b20d2b","observation_id":"0e799114-89f2-4c3a-8d64-7dd523fc60eb","resolution":{"observed_at":"2026-08-04T18:37:55.117220Z","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":"2026-08-04T18:37:55.120683Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2509.09852","last_updated":"2025-09-11T21:01:54Z","snapshot_observed_at":"2026-08-07T20:35:30.452523Z","submitted_at":"2025-09-11T21:01:54Z","title":"Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization","version":1},"reference_index":65,"source":"arxiv_source","source_observed_at":"2026-08-04T18:37:55.120683Z"},"links":{"citing_paper":"/paper/2509.09852"},"observation_digest":"sha256:ce13c466f8f07d1bfda7dafdba2f00206575f010139601e2c313b17e0b9083a4","observation_id":"b0841bb6-ce8d-4f04-bc9f-f1a733a6e8ed","resolution":{"observed_at":"2026-08-04T18:37:55.120683Z","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":"2026-08-04T18:37:55.123359Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2509.09852","last_updated":"2025-09-11T21:01:54Z","snapshot_observed_at":"2026-08-07T20:35:30.452523Z","submitted_at":"2025-09-11T21:01:54Z","title":"Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization","version":1},"reference_index":66,"source":"arxiv_source","source_observed_at":"2026-08-04T18:37:55.123359Z"},"links":{"citing_paper":"/paper/2509.09852"},"observation_digest":"sha256:ab202d4a0ab10d2441b48ed4da2ef34bfb25d9296d745436e8dd8ed7b4491a25","observation_id":"434f5123-a3cb-4176-b0fc-b3c21c961028","resolution":{"observed_at":"2026-08-04T18:37:55.123359Z","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":"10.18653/v1/2022.findings-acl.51","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"Findings of the Association for Computational Linguistics: ACL 2022","work_id":"6d93938b-57c5-4722-8304-acbf9aebc8ea","year":2022},"citing_paper":{"arxiv_id":"2509.09852","last_updated":"2025-09-11T21:01:54Z","snapshot_observed_at":"2026-08-07T20:35:30.452523Z","submitted_at":"2025-09-11T21:01:54Z","title":"Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization","version":1},"reference_index":67,"source":"arxiv_source","source_observed_at":"2026-08-04T18:37:55.126196Z"},"links":{"citing_paper":"/paper/2509.09852"},"observation_digest":"sha256:b1f8b903bfbfa5a3e41b3487aa7a2723eb1a506017ceebf699a80006d1883429","observation_id":"9b83dc87-1769-473e-9fcc-9c45b4f6513b","resolution":{"observed_at":"2026-08-04T18:38:34.373693Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.05685","last_updated":"2023-12-24T02:01:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-06-09T05:55:52Z","title":"Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.05685","snapshot_observed_at":"2026-08-04T18:37:55.129913Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.09852","last_updated":"2025-09-11T21:01:54Z","snapshot_observed_at":"2026-08-07T20:35:30.452523Z","submitted_at":"2025-09-11T21:01:54Z","title":"Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization","version":1},"reference_index":68,"source":"arxiv_source","source_observed_at":"2026-08-04T18:37:55.129913Z"},"links":{"cited_paper":"/paper/2306.05685","citing_paper":"/paper/2509.09852"},"observation_digest":"sha256:63f9553ecab3984afa5f832951ea6accfc94251cf28ee37d966d0983db684d3e","observation_id":"6b02f4cf-8c24-475a-8010-0af7e54faa1b","resolution":{"observed_at":"2026-08-04T18:37:55.129913Z","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":"2026-08-04T18:37:55.132929Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.09852","last_updated":"2025-09-11T21:01:54Z","snapshot_observed_at":"2026-08-07T20:35:30.452523Z","submitted_at":"2025-09-11T21:01:54Z","title":"Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization","version":1},"reference_index":69,"source":"arxiv_source","source_observed_at":"2026-08-04T18:37:55.132929Z"},"links":{"citing_paper":"/paper/2509.09852"},"observation_digest":"sha256:ec85b096a6510f7ada2674368c0961c95fdf84933b15af694105b732b2733ba3","observation_id":"68d76a46-569a-4e2a-9a14-24f3997134d3","resolution":{"observed_at":"2026-08-04T18:37:55.132929Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1909.08593","last_updated":"2020-01-08T23:02:36Z","snapshot_observed_at":"2026-08-08T07:44:49.921146Z","submitted_at":"2019-09-18T17:33:39Z","title":"Fine-Tuning Language Models from Human Preferences","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1909.08593","snapshot_observed_at":"2026-08-04T18:37:55.135579Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2509.09852","last_updated":"2025-09-11T21:01:54Z","snapshot_observed_at":"2026-08-07T20:35:30.452523Z","submitted_at":"2025-09-11T21:01:54Z","title":"Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization","version":1},"reference_index":70,"source":"arxiv_source","source_observed_at":"2026-08-04T18:37:55.135579Z"},"links":{"cited_paper":"/paper/1909.08593","citing_paper":"/paper/2509.09852"},"observation_digest":"sha256:ed46bd659e8d0be2c7cd98df7af53d214ce73a8e496c8b6c28041483b4017abe","observation_id":"46569963-e6be-4e24-934e-02b481e9ec4b","resolution":{"observed_at":"2026-08-04T18:37:55.135579Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2509.09852","last_updated":"2025-09-11T21:01:54Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-07T20:35:30.452523Z","submitted_at":"2025-09-11T21:01:54Z","title":"Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization"},"reference_resolution":{"displayed":70,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":56,"verified_exact":14,"verified_fuzzy":0},"total_outbound_references":70},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 70 of 70 outbound references and 0 inbound Pith citation observations for arXiv:2509.09852."}