{"as_of":"2026-08-07T23:50:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6a24409e9169bc33e7526e321ef278ab2aa9b25312b809d0277fc46a894df563","coverage":[{"denominator":51,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":51,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T22:39:36.406946Z","state":"measured"},{"denominator":52,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":52,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-31T21:27:29.402315Z","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":[{"citation":{"cited_paper":{"arxiv_id":"2506.21053","last_updated":"2025-07-04T06:30:32Z","snapshot_observed_at":"2026-08-07T11:22:27.874224Z","submitted_at":"2025-06-26T06:59:30Z","title":"MT2-CSD: A New Dataset and Multi-Semantic Knowledge Fusion Method for Conversational Stance Detection","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.21053","snapshot_observed_at":"2026-07-31T21:27:29.402315Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.24191","last_updated":"2026-07-27T09:11:56Z","snapshot_observed_at":"2026-08-06T23:53:28.153296Z","submitted_at":"2026-07-27T09:11:56Z","title":"StanceFlip: A Comprehensive Multi-Dimensional Benchmark for Multimodal Conversational Stance Flipping Forecasting","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-07-31T21:27:29.402315Z"},"links":{"cited_paper":"/paper/2506.21053","citing_paper":"/paper/2607.24191"},"observation_digest":"sha256:53bb9164848e2e767bc6eb291be48756d5abef4cd6273e2344d62b82236b271c","observation_id":"a575768f-346d-4c91-a8bd-65a56117dcf1","resolution":{"observed_at":"2026-07-31T21:27:29.402315Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2506.21053/citation-record","integrity":"/paper/2506.21053/integrity","json":"/paper/2506.21053/citation-record.json","paper":"/paper/2506.21053"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:39:36.871571Z","title":"Knowledge-augmented interpretable network for zero-shot stance de- tection on social media,","venue":null,"work_id":"a36d14bf-8f47-4172-a540-4746966ca7d3","year":2024},"citing_paper":{"arxiv_id":"2506.21053","last_updated":"2025-07-04T06:30:32Z","snapshot_observed_at":"2026-08-07T11:22:27.874224Z","submitted_at":"2025-06-26T06:59:30Z","title":"MT2-CSD: A New Dataset and Multi-Semantic Knowledge Fusion Method for Conversational Stance Detection","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T22:39:35.145541Z"},"links":{"citing_paper":"/paper/2506.21053"},"observation_digest":"sha256:8d2f33c485723579275314b0daa161217176deaf4be3a53aa9112baaca6d98bd","observation_id":"0741cb39-5352-4d73-bb12-b8c4f3d8a084","resolution":{"observed_at":"2026-08-06T22:39:36.874369Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:39:36.862417Z","title":"Twitter stance detection via neural production systems,","venue":null,"work_id":"c052a353-e8e5-40ee-bc58-c1638b0ddd39","year":2023},"citing_paper":{"arxiv_id":"2506.21053","last_updated":"2025-07-04T06:30:32Z","snapshot_observed_at":"2026-08-07T11:22:27.874224Z","submitted_at":"2025-06-26T06:59:30Z","title":"MT2-CSD: A New Dataset and Multi-Semantic Knowledge Fusion Method for Conversational Stance Detection","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T22:39:35.315850Z"},"links":{"citing_paper":"/paper/2506.21053"},"observation_digest":"sha256:68d67751cb612b77c84c401ad00d5153beb66467fc0ad8c24f63cc33aa10bbcb","observation_id":"f45c6561-fcf9-417d-8aa5-207e7ad790f6","resolution":{"observed_at":"2026-08-06T22:39:36.866204Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:39:36.854232Z","title":"C-mtcsd: A chi- nese multi-turn conversational stance detection dataset,","venue":null,"work_id":"3ad2c4fd-35e0-4ac5-a2ee-74fe8c335d16","year":2025},"citing_paper":{"arxiv_id":"2506.21053","last_updated":"2025-07-04T06:30:32Z","snapshot_observed_at":"2026-08-07T11:22:27.874224Z","submitted_at":"2025-06-26T06:59:30Z","title":"MT2-CSD: A New Dataset and Multi-Semantic Knowledge Fusion Method for Conversational Stance Detection","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T22:39:35.516544Z"},"links":{"citing_paper":"/paper/2506.21053"},"observation_digest":"sha256:b5940b0d90620d3310ad0833ae10e26ec6d2f613d9a0c21d9fd8e5b54126e883","observation_id":"54c81c68-b307-40d3-992e-a742c1a618ea","resolution":{"observed_at":"2026-08-06T22:39:36.857110Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:39:36.846196Z","title":"P-stance: A large dataset for stance detection in political domain,","venue":null,"work_id":"374debcb-917a-407f-acb7-83706e942229","year":2021},"citing_paper":{"arxiv_id":"2506.21053","last_updated":"2025-07-04T06:30:32Z","snapshot_observed_at":"2026-08-07T11:22:27.874224Z","submitted_at":"2025-06-26T06:59:30Z","title":"MT2-CSD: A New Dataset and Multi-Semantic Knowledge Fusion Method for Conversational Stance Detection","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T22:39:35.779326Z"},"links":{"citing_paper":"/paper/2506.21053"},"observation_digest":"sha256:9d7f0b2366100d2f053cda8420b3e000bcdf23355580bcdffc81391109d6b250","observation_id":"8939bdab-749c-4801-93cf-c0b8fb9f4158","resolution":{"observed_at":"2026-08-06T22:39:36.849188Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:39:36.836528Z","title":"Stance detection on social media with background knowledge,","venue":null,"work_id":"3bf39835-3c02-460b-aadf-5aceca779c4e","year":2023},"citing_paper":{"arxiv_id":"2506.21053","last_updated":"2025-07-04T06:30:32Z","snapshot_observed_at":"2026-08-07T11:22:27.874224Z","submitted_at":"2025-06-26T06:59:30Z","title":"MT2-CSD: A New Dataset and Multi-Semantic Knowledge Fusion Method for Conversational Stance Detection","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T22:39:35.949940Z"},"links":{"citing_paper":"/paper/2506.21053"},"observation_digest":"sha256:06a78923f4aac4099d9f17f9933f6b5d37cf5931965ae413b7d95e24deb2b841","observation_id":"9714736a-d116-4138-a026-c48359569b4c","resolution":{"observed_at":"2026-08-06T22:39:36.840114Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.01761","last_updated":"2024-01-04T01:30:36Z","snapshot_observed_at":"2026-08-06T23:53:06.124530Z","submitted_at":"2024-01-03T14:28:55Z","title":"Cross-target Stance Detection by Exploiting Target Analytical Perspectives","version":2},"cited_work":{"arxiv_id":"2401.01761","doi":null,"metadata_source":"pith","pith_arxiv_id":"2401.01761","snapshot_observed_at":"2026-08-06T22:39:36.515506Z","title":"Cross-target Stance Detection by Exploiting Target Analytical Perspectives","venue":"cs.CL","work_id":"40bc0fca-c245-49c1-8c84-357e9f1f6e79","year":2024},"citing_paper":{"arxiv_id":"2506.21053","last_updated":"2025-07-04T06:30:32Z","snapshot_observed_at":"2026-08-07T11:22:27.874224Z","submitted_at":"2025-06-26T06:59:30Z","title":"MT2-CSD: A New Dataset and Multi-Semantic Knowledge Fusion Method for Conversational Stance Detection","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T22:39:36.175385Z"},"links":{"cited_paper":"/paper/2401.01761","citing_paper":"/paper/2506.21053"},"observation_digest":"sha256:90d0dead63dcff105d0798d1a6461f8060f8eac879a7fa63a998fe02b600ed70","observation_id":"5850dda3-d85a-4edb-baef-12654ba7e180","resolution":{"observed_at":"2026-08-06T22:39:36.519012Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:39:36.827925Z","title":"Tts: A target-based teacher-student framework for zero-shot stance detection,","venue":null,"work_id":"7c9f293a-2eb1-49ae-94f7-84ac8c1634db","year":2023},"citing_paper":{"arxiv_id":"2506.21053","last_updated":"2025-07-04T06:30:32Z","snapshot_observed_at":"2026-08-07T11:22:27.874224Z","submitted_at":"2025-06-26T06:59:30Z","title":"MT2-CSD: A New Dataset and Multi-Semantic Knowledge Fusion Method for Conversational Stance Detection","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T22:39:36.193496Z"},"links":{"citing_paper":"/paper/2506.21053"},"observation_digest":"sha256:52999444c1cfd4f8e1fa403b836ceb02cf9cf9e9bf7696df96ab1ac3a16be28a","observation_id":"1686208d-7bd9-4c42-9e56-b3711cb35785","resolution":{"observed_at":"2026-08-06T22:39:36.830721Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2006.00691","last_updated":"2020-06-27T21:23:20Z","snapshot_observed_at":"2026-07-06T09:24:51.011825Z","submitted_at":"2020-06-01T03:30:08Z","title":"Stance in Replies and Quotes (SRQ): A New Dataset For Learning Stance in Twitter Conversations","version":2},"cited_work":{"arxiv_id":"2006.00691","doi":null,"metadata_source":"pith","pith_arxiv_id":"2006.00691","snapshot_observed_at":"2026-08-06T22:39:36.503642Z","title":"Stance in Replies and Quotes (SRQ): A New Dataset For Learning Stance in Twitter Conversations","venue":"cs.CL","work_id":"00f49350-011b-4a32-aeed-8d30bc933744","year":2020},"citing_paper":{"arxiv_id":"2506.21053","last_updated":"2025-07-04T06:30:32Z","snapshot_observed_at":"2026-08-07T11:22:27.874224Z","submitted_at":"2025-06-26T06:59:30Z","title":"MT2-CSD: A New Dataset and Multi-Semantic Knowledge Fusion Method for Conversational Stance Detection","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T22:39:36.196870Z"},"links":{"cited_paper":"/paper/2006.00691","citing_paper":"/paper/2506.21053"},"observation_digest":"sha256:81e21599a1473150a3458355b5a01681aa677a40f176e895b0d438337dab2e99","observation_id":"9f8d1730-f283-45c4-b743-25df59e88b30","resolution":{"observed_at":"2026-08-06T22:39:36.507257Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:39:36.819797Z","title":"Improved target-specific stance detection on social media platforms by delving into conversation threads,","venue":null,"work_id":"95814d3c-b8e1-47f1-bf31-869a665adaa1","year":2023},"citing_paper":{"arxiv_id":"2506.21053","last_updated":"2025-07-04T06:30:32Z","snapshot_observed_at":"2026-08-07T11:22:27.874224Z","submitted_at":"2025-06-26T06:59:30Z","title":"MT2-CSD: A New Dataset and Multi-Semantic Knowledge Fusion Method for Conversational Stance Detection","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T22:39:36.199818Z"},"links":{"citing_paper":"/paper/2506.21053"},"observation_digest":"sha256:11927f29302f0e7a08774ace1f145bba41d0c1211f1eb800fdf9a8037c824706","observation_id":"eb0e163a-8743-45e3-9e05-5e79b025d41a","resolution":{"observed_at":"2026-08-06T22:39:36.822703Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:39:36.811521Z","title":"Contextual target-specific stance detection on twitter: Dataset and method,","venue":null,"work_id":"0189377d-6eca-4ddd-964a-7a295c1b486c","year":2023},"citing_paper":{"arxiv_id":"2506.21053","last_updated":"2025-07-04T06:30:32Z","snapshot_observed_at":"2026-08-07T11:22:27.874224Z","submitted_at":"2025-06-26T06:59:30Z","title":"MT2-CSD: A New Dataset and Multi-Semantic Knowledge Fusion Method for Conversational Stance Detection","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T22:39:36.202765Z"},"links":{"citing_paper":"/paper/2506.21053"},"observation_digest":"sha256:771d2d68bf5cd36631b6d37b0c443c74e751776ed73dc1c1608d7ae17cf7fce1","observation_id":"7f7109a9-491a-4bc6-8e86-df787d5cb679","resolution":{"observed_at":"2026-08-06T22:39:36.814380Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:39:36.800869Z","title":"Attention, intentions, and the structure of discourse,","venue":null,"work_id":"95442e0c-3b39-4ee3-8ed8-456dcf63bf1d","year":1986},"citing_paper":{"arxiv_id":"2506.21053","last_updated":"2025-07-04T06:30:32Z","snapshot_observed_at":"2026-08-07T11:22:27.874224Z","submitted_at":"2025-06-26T06:59:30Z","title":"MT2-CSD: A New Dataset and Multi-Semantic Knowledge Fusion Method for Conversational Stance Detection","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T22:39:36.205832Z"},"links":{"citing_paper":"/paper/2506.21053"},"observation_digest":"sha256:e91a7a1ec893de6127a630330c27fc55f7bf94ca0d8292c02c54843ff8c78119","observation_id":"2026fe93-465a-40a0-9869-9e7e6b47f777","resolution":{"observed_at":"2026-08-06T22:39:36.803951Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:39:36.792298Z","title":"Frame semantics for text understanding,","venue":null,"work_id":"9b8a983a-9c86-475a-8162-6560f28cdf55","year":2001},"citing_paper":{"arxiv_id":"2506.21053","last_updated":"2025-07-04T06:30:32Z","snapshot_observed_at":"2026-08-07T11:22:27.874224Z","submitted_at":"2025-06-26T06:59:30Z","title":"MT2-CSD: A New Dataset and Multi-Semantic Knowledge Fusion Method for Conversational Stance Detection","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T22:39:36.209240Z"},"links":{"citing_paper":"/paper/2506.21053"},"observation_digest":"sha256:a93ba884f34af59b8c9336ed22ace077bc44d0c51d6fb2b84e4c6db3c238a717","observation_id":"d27feeb9-fba4-42a1-9715-a41ac7835b7d","resolution":{"observed_at":"2026-08-06T22:39:36.795431Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:39:36.783674Z","title":"Conversation analysis,","venue":null,"work_id":"5460cf61-3541-45ca-aa7a-51bb69365791","year":1990},"citing_paper":{"arxiv_id":"2506.21053","last_updated":"2025-07-04T06:30:32Z","snapshot_observed_at":"2026-08-07T11:22:27.874224Z","submitted_at":"2025-06-26T06:59:30Z","title":"MT2-CSD: A New Dataset and Multi-Semantic Knowledge Fusion Method for Conversational Stance Detection","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T22:39:36.211970Z"},"links":{"citing_paper":"/paper/2506.21053"},"observation_digest":"sha256:e760fb744a3ba6a98060237b50bdfbc9c2fd7ca06a3823b61aa93758cbe5fa48","observation_id":"3478f168-66cb-40b0-95bd-4f8012e67373","resolution":{"observed_at":"2026-08-06T22:39:36.786445Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:39:36.773354Z","title":"A challenge dataset and effective models for conversational stance detection,","venue":null,"work_id":"563c2696-c218-41b2-9019-d0125b0aee9a","year":2024},"citing_paper":{"arxiv_id":"2506.21053","last_updated":"2025-07-04T06:30:32Z","snapshot_observed_at":"2026-08-07T11:22:27.874224Z","submitted_at":"2025-06-26T06:59:30Z","title":"MT2-CSD: A New Dataset and Multi-Semantic Knowledge Fusion Method for Conversational Stance Detection","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T22:39:36.218290Z"},"links":{"citing_paper":"/paper/2506.21053"},"observation_digest":"sha256:a8a76e4639500fdbb3475b2dd82e30c5747ca95735c87654ba808439653a9bde","observation_id":"fe094e01-3298-466b-a8e6-1e0024c716d3","resolution":{"observed_at":"2026-08-06T22:39:36.776881Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:39:36.763952Z","title":"Semeval-2016 task 6: Detecting stance in tweets,","venue":null,"work_id":"b39217e5-a952-48aa-b841-d7733f2c4039","year":2016},"citing_paper":{"arxiv_id":"2506.21053","last_updated":"2025-07-04T06:30:32Z","snapshot_observed_at":"2026-08-07T11:22:27.874224Z","submitted_at":"2025-06-26T06:59:30Z","title":"MT2-CSD: A New Dataset and Multi-Semantic Knowledge Fusion Method for Conversational Stance Detection","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T22:39:36.221371Z"},"links":{"citing_paper":"/paper/2506.21053"},"observation_digest":"sha256:2de0ee933f346c1be9ee50d606d46f1428425ac5385bb82e4e1aab1986912983","observation_id":"62313d4d-a513-4114-99be-a4556b24389f","resolution":{"observed_at":"2026-08-06T22:39:36.766982Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:39:36.754408Z","title":"Enhancing cross- target stance detection with transferable semantic-emotion knowledge,","venue":null,"work_id":"455bf06a-903d-4752-8959-ef6178a33cd9","year":2020},"citing_paper":{"arxiv_id":"2506.21053","last_updated":"2025-07-04T06:30:32Z","snapshot_observed_at":"2026-08-07T11:22:27.874224Z","submitted_at":"2025-06-26T06:59:30Z","title":"MT2-CSD: A New Dataset and Multi-Semantic Knowledge Fusion Method for Conversational Stance Detection","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T22:39:36.223791Z"},"links":{"citing_paper":"/paper/2506.21053"},"observation_digest":"sha256:df5171692f46fe44faae7f6e2391940076ff5df388c4eeb9249079f7cb20205a","observation_id":"0158ecf2-c471-476c-9c26-78a38017c39f","resolution":{"observed_at":"2026-08-06T22:39:36.757720Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2005.00388","last_updated":"2020-05-01T14:10:37Z","snapshot_observed_at":"2026-07-06T09:16:51.250860Z","submitted_at":"2020-05-01T14:10:37Z","title":"Will-They-Won't-They: A Very Large Dataset for Stance Detection on Twitter","version":1},"cited_work":{"arxiv_id":"2005.00388","doi":null,"metadata_source":"pith","pith_arxiv_id":"2005.00388","snapshot_observed_at":"2026-08-06T22:39:36.490263Z","title":"Will-They-Won't-They: A Very Large Dataset for Stance Detection on Twitter","venue":"cs.CL","work_id":"8328448d-f11a-44bf-b315-9631a1e53031","year":2020},"citing_paper":{"arxiv_id":"2506.21053","last_updated":"2025-07-04T06:30:32Z","snapshot_observed_at":"2026-08-07T11:22:27.874224Z","submitted_at":"2025-06-26T06:59:30Z","title":"MT2-CSD: A New Dataset and Multi-Semantic Knowledge Fusion Method for Conversational Stance Detection","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T22:39:36.226741Z"},"links":{"cited_paper":"/paper/2005.00388","citing_paper":"/paper/2506.21053"},"observation_digest":"sha256:e3d19f589de79132fd5db6bdb5aca29ba93f3a4f74b0892057da5fdff4ad3cdc","observation_id":"72fd65d2-edd8-487f-a5e8-5154f171a291","resolution":{"observed_at":"2026-08-06T22:39:36.493554Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:39:36.744187Z","title":"Stance detection in covid-19 tweets,","venue":null,"work_id":"ecc477a6-beac-47e4-9bfc-71de19d37fd5","year":2021},"citing_paper":{"arxiv_id":"2506.21053","last_updated":"2025-07-04T06:30:32Z","snapshot_observed_at":"2026-08-07T11:22:27.874224Z","submitted_at":"2025-06-26T06:59:30Z","title":"MT2-CSD: A New Dataset and Multi-Semantic Knowledge Fusion Method for Conversational Stance Detection","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T22:39:36.230104Z"},"links":{"citing_paper":"/paper/2506.21053"},"observation_digest":"sha256:d3075c6636deea9be41def35a4c5fb9031e77a68bf95817e3a082a7ddc4e2682","observation_id":"18f10c40-1d07-4684-a42d-0e13ddda1ac2","resolution":{"observed_at":"2026-08-06T22:39:36.747027Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:39:36.734317Z","title":"Zero-shot stance detection: A dataset and model using generalized topic representations,","venue":null,"work_id":"a3733db5-f1fd-47d2-a9f6-78db08e45599","year":2020},"citing_paper":{"arxiv_id":"2506.21053","last_updated":"2025-07-04T06:30:32Z","snapshot_observed_at":"2026-08-07T11:22:27.874224Z","submitted_at":"2025-06-26T06:59:30Z","title":"MT2-CSD: A New Dataset and Multi-Semantic Knowledge Fusion Method for Conversational Stance Detection","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T22:39:36.232587Z"},"links":{"citing_paper":"/paper/2506.21053"},"observation_digest":"sha256:e207cd3d5d28f04072b372471705da37c95d5cde43c4f346f8b46c7696a554b4","observation_id":"8cda86d3-8649-44b0-bb53-0eec8bb13f0b","resolution":{"observed_at":"2026-08-06T22:39:36.737459Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T22:39:36.321010Z","title":"Long short-term memory,","venue":null,"work_id":null,"year":1997},"citing_paper":{"arxiv_id":"2506.21053","last_updated":"2025-07-04T06:30:32Z","snapshot_observed_at":"2026-08-07T11:22:27.874224Z","submitted_at":"2025-06-26T06:59:30Z","title":"MT2-CSD: A New Dataset and Multi-Semantic Knowledge Fusion Method for Conversational Stance Detection","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T22:39:36.321010Z"},"links":{"citing_paper":"/paper/2506.21053"},"observation_digest":"sha256:b00784a97c24ace5cdec3acfb06dacf1677b641062c8fcf7f6432ad36c940197","observation_id":"8615d3d8-249f-4517-aea8-9a42962527f4","resolution":{"observed_at":"2026-08-06T22:39:36.321010Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:39:36.719566Z","title":"MITRE at SemEval-2016 task 6: Transfer learning for stance detection,","venue":null,"work_id":"0093a5c8-9431-46f5-b12a-aba608925aef","year":2016},"citing_paper":{"arxiv_id":"2506.21053","last_updated":"2025-07-04T06:30:32Z","snapshot_observed_at":"2026-08-07T11:22:27.874224Z","submitted_at":"2025-06-26T06:59:30Z","title":"MT2-CSD: A New Dataset and Multi-Semantic Knowledge Fusion Method for Conversational Stance Detection","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T22:39:36.324309Z"},"links":{"citing_paper":"/paper/2506.21053"},"observation_digest":"sha256:cc5fa4d6c85316c7bde179f4586cf1780a637e3aea8d20712d5e135ef5d9902d","observation_id":"849c9808-de97-4c8e-9c38-df764419a6a0","resolution":{"observed_at":"2026-08-06T22:39:36.722653Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:39:36.711660Z","title":"Tohoku at SemEval-2016 task 6: Feature-based model versus con- volutional neural network for stance detection,","venue":null,"work_id":"a528bc14-5c12-45f3-9d06-a058f182ac2b","year":2016},"citing_paper":{"arxiv_id":"2506.21053","last_updated":"2025-07-04T06:30:32Z","snapshot_observed_at":"2026-08-07T11:22:27.874224Z","submitted_at":"2025-06-26T06:59:30Z","title":"MT2-CSD: A New Dataset and Multi-Semantic Knowledge Fusion Method for Conversational Stance Detection","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T22:39:36.327207Z"},"links":{"citing_paper":"/paper/2506.21053"},"observation_digest":"sha256:2e232edc300af3353112ce112ee0eb03e2db4edcc8290d8bb7c3ddc815298018","observation_id":"5aad2124-958a-400c-952e-d54711fc63c5","resolution":{"observed_at":"2026-08-06T22:39:36.714379Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:39:36.703215Z","title":"Connecting targets to tweets: Semantic attention-based model for target-specific stance detection,","venue":null,"work_id":"3c09ebef-ca55-4c60-82aa-efcf896b5d9c","year":2017},"citing_paper":{"arxiv_id":"2506.21053","last_updated":"2025-07-04T06:30:32Z","snapshot_observed_at":"2026-08-07T11:22:27.874224Z","submitted_at":"2025-06-26T06:59:30Z","title":"MT2-CSD: A New Dataset and Multi-Semantic Knowledge Fusion Method for Conversational Stance Detection","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T22:39:36.330840Z"},"links":{"citing_paper":"/paper/2506.21053"},"observation_digest":"sha256:699a9347137801cc42e7c985e430ee6a4af2f3ba42b9122bbaa78314ff0fcf1e","observation_id":"ffa3b050-2951-41a4-97aa-78cf2e48a516","resolution":{"observed_at":"2026-08-06T22:39:36.706313Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:39:36.695676Z","title":null,"venue":null,"work_id":"2b7e60bb-d413-4ee6-b981-11eabede663c","year":2017},"citing_paper":{"arxiv_id":"2506.21053","last_updated":"2025-07-04T06:30:32Z","snapshot_observed_at":"2026-08-07T11:22:27.874224Z","submitted_at":"2025-06-26T06:59:30Z","title":"MT2-CSD: A New Dataset and Multi-Semantic Knowledge Fusion Method for Conversational Stance Detection","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T22:39:36.333443Z"},"links":{"citing_paper":"/paper/2506.21053"},"observation_digest":"sha256:0f6cda88789e73f5c75f17123772dce812799be2628cc1dd9a27b9812dd6dcc6","observation_id":"0c4261f5-7fcb-43c2-87c9-137795eed4f9","resolution":{"observed_at":"2026-08-06T22:39:36.698067Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:39:36.688067Z","title":"A topic-aware reinforced model for weakly supervised stance detection,","venue":null,"work_id":"2f739a20-41e9-44f0-920b-55ebe832548b","year":2019},"citing_paper":{"arxiv_id":"2506.21053","last_updated":"2025-07-04T06:30:32Z","snapshot_observed_at":"2026-08-07T11:22:27.874224Z","submitted_at":"2025-06-26T06:59:30Z","title":"MT2-CSD: A New Dataset and Multi-Semantic Knowledge Fusion Method for Conversational Stance Detection","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T22:39:36.336138Z"},"links":{"citing_paper":"/paper/2506.21053"},"observation_digest":"sha256:ebc54384a855b58bc230f03e2628a52ce9cd532ffde07ab9757b2c6321d7b55f","observation_id":"58465773-76b2-4045-ae92-27f8e007059a","resolution":{"observed_at":"2026-08-06T22:39:36.690751Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:39:36.679692Z","title":"Topical stance detection for twitter: A two-phase lstm model using attention,","venue":null,"work_id":"8798f27b-eba7-4fc9-a60b-154cf353f6c0","year":2018},"citing_paper":{"arxiv_id":"2506.21053","last_updated":"2025-07-04T06:30:32Z","snapshot_observed_at":"2026-08-07T11:22:27.874224Z","submitted_at":"2025-06-26T06:59:30Z","title":"MT2-CSD: A New Dataset and Multi-Semantic Knowledge Fusion Method for Conversational Stance Detection","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T22:39:36.338506Z"},"links":{"citing_paper":"/paper/2506.21053"},"observation_digest":"sha256:71f68e277e36b682f52a16eb1fbbc95c5b303669ad1eedc7e90d9eae8d6adfc2","observation_id":"a054647e-d7b7-46c4-ba6b-7953f8eec0fc","resolution":{"observed_at":"2026-08-06T22:39:36.682858Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:39:36.671411Z","title":"Stance classification with target- specific neural attention networks","venue":null,"work_id":"17fdd551-8916-442f-a66b-a62261e70b10","year":2017},"citing_paper":{"arxiv_id":"2506.21053","last_updated":"2025-07-04T06:30:32Z","snapshot_observed_at":"2026-08-07T11:22:27.874224Z","submitted_at":"2025-06-26T06:59:30Z","title":"MT2-CSD: A New Dataset and Multi-Semantic Knowledge Fusion Method for Conversational Stance Detection","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T22:39:36.341071Z"},"links":{"citing_paper":"/paper/2506.21053"},"observation_digest":"sha256:d866dc3228d1e3abd64a99c279639649a40d0b994c9559787a356957c278a74c","observation_id":"d59e684b-5b61-48b2-abaf-4b36727c83a9","resolution":{"observed_at":"2026-08-06T22:39:36.674487Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:39:36.663397Z","title":"Stance detection with hierarchical attention network,","venue":null,"work_id":"b5bcfe05-ac8c-4f94-ba03-ecdbc385e6e7","year":2018},"citing_paper":{"arxiv_id":"2506.21053","last_updated":"2025-07-04T06:30:32Z","snapshot_observed_at":"2026-08-07T11:22:27.874224Z","submitted_at":"2025-06-26T06:59:30Z","title":"MT2-CSD: A New Dataset and Multi-Semantic Knowledge Fusion Method for Conversational Stance Detection","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T22:39:36.343825Z"},"links":{"citing_paper":"/paper/2506.21053"},"observation_digest":"sha256:bec73e3975d887f2c968b5eb7735aac5c534164da1a72b2b94b6a321ab532bbf","observation_id":"a126395f-6869-4f10-a947-d04f96039eab","resolution":{"observed_at":"2026-08-06T22:39:36.666161Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:39:36.655358Z","title":"Joint stance and rumor detection in hierarchical heterogeneous graph,","venue":null,"work_id":"2a1f84b9-65d2-4bde-a803-f1236191e585","year":2022},"citing_paper":{"arxiv_id":"2506.21053","last_updated":"2025-07-04T06:30:32Z","snapshot_observed_at":"2026-08-07T11:22:27.874224Z","submitted_at":"2025-06-26T06:59:30Z","title":"MT2-CSD: A New Dataset and Multi-Semantic Knowledge Fusion Method for Conversational Stance Detection","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T22:39:36.346640Z"},"links":{"citing_paper":"/paper/2506.21053"},"observation_digest":"sha256:7128f95734fbf8994972d749d435efdee521e2ed05c0b9697778b24d23e4b2f5","observation_id":"84156907-f2c3-417c-8f36-fea5828f6c6a","resolution":{"observed_at":"2026-08-06T22:39:36.658257Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:39:36.647101Z","title":"Synthetic examples improve cross-target generalization: A study on stance detection on a twitter corpus,","venue":null,"work_id":"d59fb406-1bf1-408c-a56c-4b1c5267e829","year":2021},"citing_paper":{"arxiv_id":"2506.21053","last_updated":"2025-07-04T06:30:32Z","snapshot_observed_at":"2026-08-07T11:22:27.874224Z","submitted_at":"2025-06-26T06:59:30Z","title":"MT2-CSD: A New Dataset and Multi-Semantic Knowledge Fusion Method for Conversational Stance Detection","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T22:39:36.349351Z"},"links":{"citing_paper":"/paper/2506.21053"},"observation_digest":"sha256:469e033cf1c2fe1679631f0af126f88e8f70d5903717f3b0b2ec32a87bb5c269","observation_id":"2977943f-9733-4f25-bdc7-921e992e86df","resolution":{"observed_at":"2026-08-06T22:39:36.650023Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:39:36.638564Z","title":"Logic augmented multi-decision fusion framework for stance detection on social media,","venue":null,"work_id":"017e6423-5ccb-4130-b0d7-68e6e5f1dd8f","year":2025},"citing_paper":{"arxiv_id":"2506.21053","last_updated":"2025-07-04T06:30:32Z","snapshot_observed_at":"2026-08-07T11:22:27.874224Z","submitted_at":"2025-06-26T06:59:30Z","title":"MT2-CSD: A New Dataset and Multi-Semantic Knowledge Fusion Method for Conversational Stance Detection","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T22:39:36.351873Z"},"links":{"citing_paper":"/paper/2506.21053"},"observation_digest":"sha256:e316dec127352157acd59e51eb0824189f8a7e677e82c54784b65ff763c4a1ad","observation_id":"a4dd4cf1-b9a6-48ca-9d84-9fe4dbdaa722","resolution":{"observed_at":"2026-08-06T22:39:36.641474Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:39:36.629592Z","title":"BERT: Pre- training of deep bidirectional transformers for language understanding,","venue":null,"work_id":"3e16db43-95ab-4ed3-b201-df271c7872c8","year":2019},"citing_paper":{"arxiv_id":"2506.21053","last_updated":"2025-07-04T06:30:32Z","snapshot_observed_at":"2026-08-07T11:22:27.874224Z","submitted_at":"2025-06-26T06:59:30Z","title":"MT2-CSD: A New Dataset and Multi-Semantic Knowledge Fusion Method for Conversational Stance Detection","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T22:39:36.354745Z"},"links":{"citing_paper":"/paper/2506.21053"},"observation_digest":"sha256:e43512f00191d449ffaf09a907785a9c77ca561f1348f7d07b98c07b39950784","observation_id":"8adec04f-0fdb-4e23-a1f7-29cca2a9f581","resolution":{"observed_at":"2026-08-06T22:39:36.632272Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:39:36.621789Z","title":"Jointcl: a joint contrastive learning framework for zero-shot stance detection,","venue":null,"work_id":"4e7ff973-6e37-43b5-8c18-ffd09c295b59","year":2022},"citing_paper":{"arxiv_id":"2506.21053","last_updated":"2025-07-04T06:30:32Z","snapshot_observed_at":"2026-08-07T11:22:27.874224Z","submitted_at":"2025-06-26T06:59:30Z","title":"MT2-CSD: A New Dataset and Multi-Semantic Knowledge Fusion Method for Conversational Stance Detection","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T22:39:36.357517Z"},"links":{"citing_paper":"/paper/2506.21053"},"observation_digest":"sha256:41d66ba1116b34671be3955908bdd2362cdeb78077e335241304b4e810b4dc6e","observation_id":"b74be39a-e164-4523-9493-fc203773b2e8","resolution":{"observed_at":"2026-08-06T22:39:36.624371Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.15980","last_updated":"2020-11-07T05:33:35Z","snapshot_observed_at":"2026-08-05T14:17:34.026911Z","submitted_at":"2020-10-29T22:54:00Z","title":"AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.15980","snapshot_observed_at":"2026-08-06T22:39:36.360414Z","title":"Auto- prompt: Eliciting knowledge from language models with automatically generated prompts,","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2506.21053","last_updated":"2025-07-04T06:30:32Z","snapshot_observed_at":"2026-08-07T11:22:27.874224Z","submitted_at":"2025-06-26T06:59:30Z","title":"MT2-CSD: A New Dataset and Multi-Semantic Knowledge Fusion Method for Conversational Stance Detection","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T22:39:36.360414Z"},"links":{"cited_paper":"/paper/2010.15980","citing_paper":"/paper/2506.21053"},"observation_digest":"sha256:be618be55f3ddc9c787776a2bd698e8dc134c45613b153b52ccacde49dd7c6d6","observation_id":"ad9fc115-2da5-4995-b4bf-d6ed22427d01","resolution":{"observed_at":"2026-08-06T22:39:36.360414Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:39:36.613540Z","title":"Knowledge-enhanced prompt-tuning for stance detection,","venue":null,"work_id":"3c33dd14-95c4-4835-8966-83558a0b3352","year":2023},"citing_paper":{"arxiv_id":"2506.21053","last_updated":"2025-07-04T06:30:32Z","snapshot_observed_at":"2026-08-07T11:22:27.874224Z","submitted_at":"2025-06-26T06:59:30Z","title":"MT2-CSD: A New Dataset and Multi-Semantic Knowledge Fusion Method for Conversational Stance Detection","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T22:39:36.363210Z"},"links":{"citing_paper":"/paper/2506.21053"},"observation_digest":"sha256:7023f11647bb1723b3554b966d59175b403f763bc177fc9e96277179764ce2fa","observation_id":"9b3d11f8-82e9-4ed5-bba6-7fb9d1711f98","resolution":{"observed_at":"2026-08-06T22:39:36.616442Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2212.14548","last_updated":"2024-08-12T03:44:48Z","snapshot_observed_at":"2026-07-06T14:36:01.830787Z","submitted_at":"2022-12-30T05:03:15Z","title":"How would Stance Detection Techniques Evolve after the Launch of ChatGPT?","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.14548","snapshot_observed_at":"2026-08-06T22:39:36.365864Z","title":"How would stance detection techniques evolve after the launch of chatgpt?","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.21053","last_updated":"2025-07-04T06:30:32Z","snapshot_observed_at":"2026-08-07T11:22:27.874224Z","submitted_at":"2025-06-26T06:59:30Z","title":"MT2-CSD: A New Dataset and Multi-Semantic Knowledge Fusion Method for Conversational Stance Detection","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T22:39:36.365864Z"},"links":{"cited_paper":"/paper/2212.14548","citing_paper":"/paper/2506.21053"},"observation_digest":"sha256:6b16bff7c80b21c7534d2cb25eb2bb1b2f855c8c6dcc2a659c69a1342a5b72e9","observation_id":"838a94fe-fcc3-41a6-a221-04e128b25ff6","resolution":{"observed_at":"2026-08-06T22:39:36.365864Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.03087","last_updated":"2024-10-17T06:35:00Z","snapshot_observed_at":"2026-08-03T15:47:33.410302Z","submitted_at":"2023-04-06T14:12:02Z","title":"Investigating Chain-of-thought with ChatGPT for Stance Detection on Social Media","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.03087","snapshot_observed_at":"2026-08-06T22:39:36.368552Z","title":"Investigating chain-of-thought with chatgpt for stance detection on social media,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.21053","last_updated":"2025-07-04T06:30:32Z","snapshot_observed_at":"2026-08-07T11:22:27.874224Z","submitted_at":"2025-06-26T06:59:30Z","title":"MT2-CSD: A New Dataset and Multi-Semantic Knowledge Fusion Method for Conversational Stance Detection","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T22:39:36.368552Z"},"links":{"cited_paper":"/paper/2304.03087","citing_paper":"/paper/2506.21053"},"observation_digest":"sha256:0379fe5fcaa0d515a4d996c646fe6b1dfd70e37f18a0358f153a2a7d57d7655c","observation_id":"f33f3b3a-3e6d-4aa9-bc5d-92c000f6041a","resolution":{"observed_at":"2026-08-06T22:39:36.368552Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.07932","last_updated":"2023-06-23T05:56:51Z","snapshot_observed_at":"2026-08-05T03:36:37.576727Z","submitted_at":"2023-06-10T04:31:57Z","title":"Human-in-the-Loop through Chain-of-Thought","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.07932","snapshot_observed_at":"2026-08-06T22:39:36.371463Z","title":"Human-in-the-loop through chain-of- thought,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.21053","last_updated":"2025-07-04T06:30:32Z","snapshot_observed_at":"2026-08-07T11:22:27.874224Z","submitted_at":"2025-06-26T06:59:30Z","title":"MT2-CSD: A New Dataset and Multi-Semantic Knowledge Fusion Method for Conversational Stance Detection","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T22:39:36.371463Z"},"links":{"cited_paper":"/paper/2306.07932","citing_paper":"/paper/2506.21053"},"observation_digest":"sha256:edbe32aa180eb0b5e8b390078f9521cda8f236ef4bd459580fa1bf5145052fc7","observation_id":"270da26e-4db9-446f-a5db-5fdfd775bef5","resolution":{"observed_at":"2026-08-06T22:39:36.371463Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.15690","last_updated":"2024-11-25T13:05:39Z","snapshot_observed_at":"2026-08-04T17:38:17.005554Z","submitted_at":"2024-09-24T03:06:25Z","title":"A Survey of Stance Detection on Social Media: New Directions and Perspectives","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.15690","snapshot_observed_at":"2026-08-06T22:39:36.374420Z","title":"A survey of stance detection on social media: New directions and perspectives,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.21053","last_updated":"2025-07-04T06:30:32Z","snapshot_observed_at":"2026-08-07T11:22:27.874224Z","submitted_at":"2025-06-26T06:59:30Z","title":"MT2-CSD: A New Dataset and Multi-Semantic Knowledge Fusion Method for Conversational Stance Detection","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T22:39:36.374420Z"},"links":{"cited_paper":"/paper/2409.15690","citing_paper":"/paper/2506.21053"},"observation_digest":"sha256:9122aac980b8789f36706e68a4dff7a88238e6d4c00ea2d2410699f46be78318","observation_id":"271c957f-5ab9-40a1-a62a-ecf2b6c70eb1","resolution":{"observed_at":"2026-08-06T22:39:36.374420Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.10467","last_updated":"2024-04-16T06:06:43Z","snapshot_observed_at":"2026-08-07T05:56:36.857338Z","submitted_at":"2023-10-16T14:46:52Z","title":"Stance Detection with Collaborative Role-Infused LLM-Based Agents","version":2},"cited_work":{"arxiv_id":"2310.10467","doi":null,"metadata_source":"pith","pith_arxiv_id":"2310.10467","snapshot_observed_at":"2026-08-06T22:39:36.434136Z","title":"Stance Detection with Collaborative Role-Infused LLM-Based Agents","venue":"cs.CL","work_id":"88fb1386-7cb9-411d-8075-17f61b4782d7","year":2023},"citing_paper":{"arxiv_id":"2506.21053","last_updated":"2025-07-04T06:30:32Z","snapshot_observed_at":"2026-08-07T11:22:27.874224Z","submitted_at":"2025-06-26T06:59:30Z","title":"MT2-CSD: A New Dataset and Multi-Semantic Knowledge Fusion Method for Conversational Stance Detection","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T22:39:36.377380Z"},"links":{"cited_paper":"/paper/2310.10467","citing_paper":"/paper/2506.21053"},"observation_digest":"sha256:f48535a14a4f232e9081c8728e97ad639b609c5ea91bb4942a9499292c6a7d1d","observation_id":"bfcf4cfc-ebc2-410a-85ac-4d198691d720","resolution":{"observed_at":"2026-08-06T22:39:36.439445Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:39:36.605523Z","title":"Interpretable zero-shot stance detection with proactive content intervention,","venue":null,"work_id":"351eed66-1ad4-4d44-aec9-32e6e05c4608","year":2025},"citing_paper":{"arxiv_id":"2506.21053","last_updated":"2025-07-04T06:30:32Z","snapshot_observed_at":"2026-08-07T11:22:27.874224Z","submitted_at":"2025-06-26T06:59:30Z","title":"MT2-CSD: A New Dataset and Multi-Semantic Knowledge Fusion Method for Conversational Stance Detection","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T22:39:36.380199Z"},"links":{"citing_paper":"/paper/2506.21053"},"observation_digest":"sha256:572601bc7859dcc1c6bcdd29939e4b02da8ce29f1de9b36d29695c2ab2765f4b","observation_id":"4e9387c6-d9aa-419c-9ffa-e8c6de631ca4","resolution":{"observed_at":"2026-08-06T22:39:36.608216Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:39:36.597008Z","title":"Multimodal multi-turn conversation stance detection: A challenge dataset and effective model,","venue":null,"work_id":"9920fd29-df6f-43c6-986f-e36f968c1186","year":2024},"citing_paper":{"arxiv_id":"2506.21053","last_updated":"2025-07-04T06:30:32Z","snapshot_observed_at":"2026-08-07T11:22:27.874224Z","submitted_at":"2025-06-26T06:59:30Z","title":"MT2-CSD: A New Dataset and Multi-Semantic Knowledge Fusion Method for Conversational Stance Detection","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T22:39:36.382770Z"},"links":{"citing_paper":"/paper/2506.21053"},"observation_digest":"sha256:061d32c4c23fd09b8127b9794a993a793072e14e079398084bdb8f9bd3fb9958","observation_id":"9cc30e12-30a5-46b7-bda8-a274048849ba","resolution":{"observed_at":"2026-08-06T22:39:36.599916Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T22:39:36.385200Z","title":"Interrater reliability: the kappa statistic,","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2506.21053","last_updated":"2025-07-04T06:30:32Z","snapshot_observed_at":"2026-08-07T11:22:27.874224Z","submitted_at":"2025-06-26T06:59:30Z","title":"MT2-CSD: A New Dataset and Multi-Semantic Knowledge Fusion Method for Conversational Stance Detection","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T22:39:36.385200Z"},"links":{"citing_paper":"/paper/2506.21053"},"observation_digest":"sha256:8a98d0f8f3220f17247ca225d876d15b069bfec8f5cff6c287580426c7cc0869","observation_id":"3eb4bf54-4f43-4524-b4c8-576170e51d72","resolution":{"observed_at":"2026-08-06T22:39:36.385200Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:39:36.582884Z","title":"A survey of discourse parsing,","venue":null,"work_id":"89c94ba7-a29b-4058-aa40-d09c8647c04d","year":2022},"citing_paper":{"arxiv_id":"2506.21053","last_updated":"2025-07-04T06:30:32Z","snapshot_observed_at":"2026-08-07T11:22:27.874224Z","submitted_at":"2025-06-26T06:59:30Z","title":"MT2-CSD: A New Dataset and Multi-Semantic Knowledge Fusion Method for Conversational Stance Detection","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T22:39:36.388146Z"},"links":{"citing_paper":"/paper/2506.21053"},"observation_digest":"sha256:51ab75390e8052f5f7bcd08642d812a567675807fb2b70be47c08af0fa0c8594","observation_id":"944490ff-3e83-417b-9abe-fd352eab169c","resolution":{"observed_at":"2026-08-06T22:39:36.585844Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:39:36.574675Z","title":"Dialogue act modeling for automatic tagging and recognition of conversational speech,","venue":null,"work_id":"53f38ec7-784a-4c98-90d3-8601b2b94bf2","year":2000},"citing_paper":{"arxiv_id":"2506.21053","last_updated":"2025-07-04T06:30:32Z","snapshot_observed_at":"2026-08-07T11:22:27.874224Z","submitted_at":"2025-06-26T06:59:30Z","title":"MT2-CSD: A New Dataset and Multi-Semantic Knowledge Fusion Method for Conversational Stance Detection","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T22:39:36.390597Z"},"links":{"citing_paper":"/paper/2506.21053"},"observation_digest":"sha256:d5c3a39deb914e3a926317bfe59c8323bef2d184226d54f54430fa9a6d6d53fe","observation_id":"97295a47-ef75-47cd-a7bf-93b326e9ad89","resolution":{"observed_at":"2026-08-06T22:39:36.577463Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:39:36.565402Z","title":"Stance and senti- ment in tweets,","venue":null,"work_id":"31b823b7-6eff-45ca-b83a-27e14aef5cbf","year":2017},"citing_paper":{"arxiv_id":"2506.21053","last_updated":"2025-07-04T06:30:32Z","snapshot_observed_at":"2026-08-07T11:22:27.874224Z","submitted_at":"2025-06-26T06:59:30Z","title":"MT2-CSD: A New Dataset and Multi-Semantic Knowledge Fusion Method for Conversational Stance Detection","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T22:39:36.393485Z"},"links":{"citing_paper":"/paper/2506.21053"},"observation_digest":"sha256:a847c2a6980564d136b34d0723c3720589b8ae2aff9ca3db9a3d2a77bec59704","observation_id":"ccd39124-767f-4eaf-a325-d01f7be6c2bb","resolution":{"observed_at":"2026-08-06T22:39:36.568465Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T22:39:36.396528Z","title":"Bidirectional recurrent neural networks,","venue":null,"work_id":null,"year":1997},"citing_paper":{"arxiv_id":"2506.21053","last_updated":"2025-07-04T06:30:32Z","snapshot_observed_at":"2026-08-07T11:22:27.874224Z","submitted_at":"2025-06-26T06:59:30Z","title":"MT2-CSD: A New Dataset and Multi-Semantic Knowledge Fusion Method for Conversational Stance Detection","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-06T22:39:36.396528Z"},"links":{"citing_paper":"/paper/2506.21053"},"observation_digest":"sha256:b3cfaf0d6fe86818aeea12e3a09da0a89f498b19df846117a79a9d7bb7ff4cde","observation_id":"aa74c1f7-c6ba-4d4e-80eb-ed7a463bda8f","resolution":{"observed_at":"2026-08-06T22:39:36.396528Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:39:36.550893Z","title":"Aspect based sentiment analysis with gated convo- lutional networks,","venue":null,"work_id":"a85082d8-ba7e-41f3-81d7-199113b50b2d","year":2018},"citing_paper":{"arxiv_id":"2506.21053","last_updated":"2025-07-04T06:30:32Z","snapshot_observed_at":"2026-08-07T11:22:27.874224Z","submitted_at":"2025-06-26T06:59:30Z","title":"MT2-CSD: A New Dataset and Multi-Semantic Knowledge Fusion Method for Conversational Stance Detection","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-06T22:39:36.398979Z"},"links":{"citing_paper":"/paper/2506.21053"},"observation_digest":"sha256:a14b722cbcfd642b531c38f0a3c200995e0983ba4ad0a2f7e2683fae7f71c3d7","observation_id":"f9311f52-f068-46e0-8699-92660de4f4d5","resolution":{"observed_at":"2026-08-06T22:39:36.553997Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:39:36.541596Z","title":"Stance classification with target- specific neural attention,","venue":null,"work_id":"f95d7539-b7df-4da5-ba5f-b91a9c94c4ef","year":2017},"citing_paper":{"arxiv_id":"2506.21053","last_updated":"2025-07-04T06:30:32Z","snapshot_observed_at":"2026-08-07T11:22:27.874224Z","submitted_at":"2025-06-26T06:59:30Z","title":"MT2-CSD: A New Dataset and Multi-Semantic Knowledge Fusion Method for Conversational Stance Detection","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-06T22:39:36.401560Z"},"links":{"citing_paper":"/paper/2506.21053"},"observation_digest":"sha256:7f20229dc886de4de1c2ce9a8b06741052581c96ba11835c4da76acc8841e04a","observation_id":"cf2aee0e-43a6-49bd-8ed6-f9ab7eea6f69","resolution":{"observed_at":"2026-08-06T22:39:36.544720Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:39:36.533051Z","title":"Cross-target stance classifi- cation with self-attention networks,","venue":null,"work_id":"f410273d-a13e-4443-b81a-3f0864203cd2","year":2018},"citing_paper":{"arxiv_id":"2506.21053","last_updated":"2025-07-04T06:30:32Z","snapshot_observed_at":"2026-08-07T11:22:27.874224Z","submitted_at":"2025-06-26T06:59:30Z","title":"MT2-CSD: A New Dataset and Multi-Semantic Knowledge Fusion Method for Conversational Stance Detection","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-06T22:39:36.404242Z"},"links":{"citing_paper":"/paper/2506.21053"},"observation_digest":"sha256:4bb99eb4fdab1cb3fee292a6f9b53a88eb58151c97c347ba48aba13b74c59d2e","observation_id":"013c0696-bce0-4205-9df1-024d5f3caefe","resolution":{"observed_at":"2026-08-06T22:39:36.535800Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:39:36.524668Z","title":"DEEM: Dynamic experienced expert modeling for stance detection,","venue":null,"work_id":"cd31ad08-9797-411d-95ca-0249679bf27e","year":2024},"citing_paper":{"arxiv_id":"2506.21053","last_updated":"2025-07-04T06:30:32Z","snapshot_observed_at":"2026-08-07T11:22:27.874224Z","submitted_at":"2025-06-26T06:59:30Z","title":"MT2-CSD: A New Dataset and Multi-Semantic Knowledge Fusion Method for Conversational Stance Detection","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-06T22:39:36.406946Z"},"links":{"citing_paper":"/paper/2506.21053"},"observation_digest":"sha256:6727ec5e1ddb372024cae649d3d05dc7b26703a537a7d9719207ef98bd741162","observation_id":"0fea3376-0ae5-4372-98a4-0dced0fba3b1","resolution":{"observed_at":"2026-08-06T22:39:36.527483Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.21053","last_updated":"2025-07-04T06:30:32Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-07T11:22:27.874224Z","submitted_at":"2025-06-26T06:59:30Z","title":"MT2-CSD: A New Dataset and Multi-Semantic Knowledge Fusion Method for Conversational Stance Detection"},"reference_resolution":{"displayed":51,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":9,"verified_exact":4,"verified_fuzzy":38},"total_outbound_references":51},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 1 inbound Pith citation observation for arXiv:2506.21053."}