{"as_of":"2026-08-16T02:05:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:46e5f93a5087133fe80f16c4e7cd253c816aa3089782a4b39ed40a8c1d0ee62f","coverage":[{"denominator":22,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":22,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T13:09:26.505100Z","state":"measured"},{"denominator":22,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":22,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+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/2506.14791/citation-record","integrity":"/paper/2506.14791/integrity","json":"/paper/2506.14791/citation-record.json","paper":"/paper/2506.14791"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:09:31.493456Z","title":"Multimodal machine learning: A survey and taxonomy,","venue":null,"work_id":"70b9056f-c5f9-4809-a108-40528fe45269","year":2018},"citing_paper":{"arxiv_id":"2506.14791","last_updated":"2025-05-28T16:09:34Z","snapshot_observed_at":"2026-08-12T21:40:35.535826Z","submitted_at":"2025-05-28T16:09:34Z","title":"SemIRNet: A Semantic Irony Recognition Network for Multimodal Sarcasm Detection","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T13:09:24.055952Z"},"links":{"citing_paper":"/paper/2506.14791"},"observation_digest":"sha256:cc113f7f650411164c10191d484380adcd79ae99f40a6b22054b47ee705a4f4a","observation_id":"b5dea8f0-058f-4ace-8e08-32e688b0492d","resolution":{"observed_at":"2026-08-07T13:09:31.578726Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1606.07356","last_updated":"2016-09-27T19:56:22Z","snapshot_observed_at":"2026-08-14T21:51:26.440888Z","submitted_at":"2016-06-23T16:05:16Z","title":"Analyzing the Behavior of Visual Question Answering Models","version":2},"cited_work":{"arxiv_id":"1606.07356","doi":null,"metadata_source":"pith","pith_arxiv_id":"1606.07356","snapshot_observed_at":"2026-08-07T13:09:26.979985Z","title":"Analyzing the Behavior of Visual Question Answering Models","venue":"cs.CL","work_id":"011d6165-852d-405a-935c-922eb2252e1f","year":2016},"citing_paper":{"arxiv_id":"2506.14791","last_updated":"2025-05-28T16:09:34Z","snapshot_observed_at":"2026-08-12T21:40:35.535826Z","submitted_at":"2025-05-28T16:09:34Z","title":"SemIRNet: A Semantic Irony Recognition Network for Multimodal Sarcasm Detection","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T13:09:24.134419Z"},"links":{"cited_paper":"/paper/1606.07356","citing_paper":"/paper/2506.14791"},"observation_digest":"sha256:993c0f96a4903e454ce179af13900f220cc9d8aced2ffbf870b90ecef0fc9031","observation_id":"b4415362-e217-45e9-9264-88ab97183df1","resolution":{"observed_at":"2026-08-07T13:09:27.086911Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:09:31.290170Z","title":"Features and classi- fiers for emotion recognition from speech: a survey from 2000 to 2011,","venue":null,"work_id":"48890a9c-d52d-4463-a668-c12d81f09393","year":2000},"citing_paper":{"arxiv_id":"2506.14791","last_updated":"2025-05-28T16:09:34Z","snapshot_observed_at":"2026-08-12T21:40:35.535826Z","submitted_at":"2025-05-28T16:09:34Z","title":"SemIRNet: A Semantic Irony Recognition Network for Multimodal Sarcasm Detection","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T13:09:24.251410Z"},"links":{"citing_paper":"/paper/2506.14791"},"observation_digest":"sha256:552a24a20930817f0c8c92f7a4d902f6f4334ebe00591e853a42cff5a5918bc3","observation_id":"9a354d59-157b-46cc-986c-5226d8850cff","resolution":{"observed_at":"2026-08-07T13:09:31.391816Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:09:31.036464Z","title":"Learning to learn with gradients,","venue":null,"work_id":"97b2a119-731a-4761-884e-71091962c027","year":2018},"citing_paper":{"arxiv_id":"2506.14791","last_updated":"2025-05-28T16:09:34Z","snapshot_observed_at":"2026-08-12T21:40:35.535826Z","submitted_at":"2025-05-28T16:09:34Z","title":"SemIRNet: A Semantic Irony Recognition Network for Multimodal Sarcasm Detection","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T13:09:24.344332Z"},"links":{"citing_paper":"/paper/2506.14791"},"observation_digest":"sha256:407d6c9f5167a72f914204ce198434873bb36825ff76df4ff9eef322f91effa0","observation_id":"2276364d-07fa-496f-bef2-a81159b69b54","resolution":{"observed_at":"2026-08-07T13:09:31.178494Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:09:30.767777Z","title":"Expressive visual text-to-speech using active appearance models,","venue":null,"work_id":"12e4fb31-9841-4b70-ad37-5410a390927f","year":2013},"citing_paper":{"arxiv_id":"2506.14791","last_updated":"2025-05-28T16:09:34Z","snapshot_observed_at":"2026-08-12T21:40:35.535826Z","submitted_at":"2025-05-28T16:09:34Z","title":"SemIRNet: A Semantic Irony Recognition Network for Multimodal Sarcasm Detection","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T13:09:24.408448Z"},"links":{"citing_paper":"/paper/2506.14791"},"observation_digest":"sha256:7e0a058b3b8db0706e93c19eb83c23a2eb20a97eb88297a7afa1294915b00efa","observation_id":"97da3250-eb7d-4540-9ef5-b5d7b36891f1","resolution":{"observed_at":"2026-08-07T13:09:30.890272Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:09:30.549976Z","title":"Neural module networks,","venue":null,"work_id":"cab8cc88-318d-42e6-9747-1ef0bd320450","year":2016},"citing_paper":{"arxiv_id":"2506.14791","last_updated":"2025-05-28T16:09:34Z","snapshot_observed_at":"2026-08-12T21:40:35.535826Z","submitted_at":"2025-05-28T16:09:34Z","title":"SemIRNet: A Semantic Irony Recognition Network for Multimodal Sarcasm Detection","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T13:09:24.502554Z"},"links":{"citing_paper":"/paper/2506.14791"},"observation_digest":"sha256:f5742733a492d083d7791231190a5c81cf2b74442f280224b85f63ec534853bb","observation_id":"405fe560-8f54-4ee6-8e3b-db97c9f55b16","resolution":{"observed_at":"2026-08-07T13:09:30.652720Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:09:30.371950Z","title":"Deep canonical correlation analysis,","venue":null,"work_id":"218b26a5-c69d-44c0-94f7-1de0c7e00b8a","year":2013},"citing_paper":{"arxiv_id":"2506.14791","last_updated":"2025-05-28T16:09:34Z","snapshot_observed_at":"2026-08-12T21:40:35.535826Z","submitted_at":"2025-05-28T16:09:34Z","title":"SemIRNet: A Semantic Irony Recognition Network for Multimodal Sarcasm Detection","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T13:09:24.596257Z"},"links":{"citing_paper":"/paper/2506.14791"},"observation_digest":"sha256:7a442ebffbdd32340cfc10f477f8079dc734e6d706f0c9311532be80f9a0b388","observation_id":"5dd0b9da-a17b-4f64-ba43-f93447acc183","resolution":{"observed_at":"2026-08-07T13:09:30.466720Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:09:30.165750Z","title":"Convolutional neural networks for sentence classification,","venue":null,"work_id":"36504c0c-f8d5-4675-b30d-1f815402d171","year":2016},"citing_paper":{"arxiv_id":"2506.14791","last_updated":"2025-05-28T16:09:34Z","snapshot_observed_at":"2026-08-12T21:40:35.535826Z","submitted_at":"2025-05-28T16:09:34Z","title":"SemIRNet: A Semantic Irony Recognition Network for Multimodal Sarcasm Detection","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T13:09:24.715758Z"},"links":{"citing_paper":"/paper/2506.14791"},"observation_digest":"sha256:674986bbd9fabfa051eface591f0886d8d608c904483ae618b15a5bbf643017b","observation_id":"55af7323-9157-461b-9796-0607a121218b","resolution":{"observed_at":"2026-08-07T13:09:30.299721Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:09:29.879914Z","title":"Enhanced resnet-50 for garbage classification: Feature fusion and depth-separable convolutions,","venue":null,"work_id":"99c9c2aa-33f9-4c16-9af1-9087f46ee653","year":2025},"citing_paper":{"arxiv_id":"2506.14791","last_updated":"2025-05-28T16:09:34Z","snapshot_observed_at":"2026-08-12T21:40:35.535826Z","submitted_at":"2025-05-28T16:09:34Z","title":"SemIRNet: A Semantic Irony Recognition Network for Multimodal Sarcasm Detection","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T13:09:24.840342Z"},"links":{"citing_paper":"/paper/2506.14791"},"observation_digest":"sha256:14334387db7bb2fa24e2b609c82ba49f22cf462208e9e38aec5b192ef08e3d1e","observation_id":"d32df577-4d4d-4602-9c82-adbc0c4c77c9","resolution":{"observed_at":"2026-08-07T13:09:30.037584Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:09:29.661809Z","title":"A probabilistic framework for integrating sentence-level semantics via bert into pseudo-relevance feedback,","venue":null,"work_id":"5f36f3f1-5b80-4a78-9946-95a7da789122","year":2022},"citing_paper":{"arxiv_id":"2506.14791","last_updated":"2025-05-28T16:09:34Z","snapshot_observed_at":"2026-08-12T21:40:35.535826Z","submitted_at":"2025-05-28T16:09:34Z","title":"SemIRNet: A Semantic Irony Recognition Network for Multimodal Sarcasm Detection","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T13:09:24.983100Z"},"links":{"citing_paper":"/paper/2506.14791"},"observation_digest":"sha256:10936b356cad7ce06829669268a9610ce1f510ac8f92b8714577fb5f001d4a1a","observation_id":"40440ca2-3d62-4e9e-9715-7d99d1a4a1b0","resolution":{"observed_at":"2026-08-07T13:09:29.759551Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:09:29.412051Z","title":"Towards sar automatic target recognition: Multi-category sar image classification based on light weight vision transformer,","venue":null,"work_id":"40b1065c-2dff-4467-acb2-dd3bea3b7b70","year":2024},"citing_paper":{"arxiv_id":"2506.14791","last_updated":"2025-05-28T16:09:34Z","snapshot_observed_at":"2026-08-12T21:40:35.535826Z","submitted_at":"2025-05-28T16:09:34Z","title":"SemIRNet: A Semantic Irony Recognition Network for Multimodal Sarcasm Detection","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T13:09:25.062383Z"},"links":{"citing_paper":"/paper/2506.14791"},"observation_digest":"sha256:fc9d3133780d79a8dc862799e33da38756eb28a01d8db6cfeddc5b88dee6f0bd","observation_id":"54712c59-a890-48f6-9703-64175ddddd67","resolution":{"observed_at":"2026-08-07T13:09:29.523144Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.16204","last_updated":"2025-02-15T07:27:21Z","snapshot_observed_at":"2026-08-12T22:18:20.210069Z","submitted_at":"2024-10-21T17:05:50Z","title":"Machine Learning Approaches for Mental Illness Detection on Social Media: A Systematic Review of Biases and Methodological Challenges","version":3},"cited_work":{"arxiv_id":"2410.16204","doi":null,"metadata_source":"pith","pith_arxiv_id":"2410.16204","snapshot_observed_at":"2026-08-07T13:09:26.761221Z","title":"Machine Learning Approaches for Mental Illness Detection on Social Media: A Systematic Review of Biases and Methodological Challenges","venue":"cs.LG","work_id":"0940809c-92d7-4d09-a90d-1f0b60490fd1","year":2024},"citing_paper":{"arxiv_id":"2506.14791","last_updated":"2025-05-28T16:09:34Z","snapshot_observed_at":"2026-08-12T21:40:35.535826Z","submitted_at":"2025-05-28T16:09:34Z","title":"SemIRNet: A Semantic Irony Recognition Network for Multimodal Sarcasm Detection","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T13:09:25.153760Z"},"links":{"cited_paper":"/paper/2410.16204","citing_paper":"/paper/2506.14791"},"observation_digest":"sha256:b20344e2cc6f1def476e0976243020d85bf9e9c4c3f8a6961bdf9ea5884ea805","observation_id":"ac01e549-b32c-41e1-85cc-3ace96896a1f","resolution":{"observed_at":"2026-08-07T13:09:26.859636Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:09:29.198717Z","title":"Prototype comparison convolutional networks for one-shot segmentation,","venue":null,"work_id":"3e0339d1-e6f1-4250-9b06-96347fadf4c4","year":2024},"citing_paper":{"arxiv_id":"2506.14791","last_updated":"2025-05-28T16:09:34Z","snapshot_observed_at":"2026-08-12T21:40:35.535826Z","submitted_at":"2025-05-28T16:09:34Z","title":"SemIRNet: A Semantic Irony Recognition Network for Multimodal Sarcasm Detection","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T13:09:25.284427Z"},"links":{"citing_paper":"/paper/2506.14791"},"observation_digest":"sha256:66469cacd7634ad79d08ffe906c8ccbfc06dcdf1738734c1e601a3c47cab1a10","observation_id":"b9e8fa22-5805-45cf-aaf1-e72011e05846","resolution":{"observed_at":"2026-08-07T13:09:29.305390Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:09:28.946330Z","title":"Image-driven prediction system: Automatic extraction of aggregate gradation of pavement core samples integrating deep learning and interactive image processing framework,","venue":null,"work_id":"252d9811-689e-49f7-bf9f-01db698a9283","year":2024},"citing_paper":{"arxiv_id":"2506.14791","last_updated":"2025-05-28T16:09:34Z","snapshot_observed_at":"2026-08-12T21:40:35.535826Z","submitted_at":"2025-05-28T16:09:34Z","title":"SemIRNet: A Semantic Irony Recognition Network for Multimodal Sarcasm Detection","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T13:09:25.398199Z"},"links":{"citing_paper":"/paper/2506.14791"},"observation_digest":"sha256:a7081cf08ef6633a7a7a5fcbd2f6aac6b0500076f64cc5969cf643a8d7f56626","observation_id":"9e0ff72c-2300-4601-981e-697c8fb2e8c3","resolution":{"observed_at":"2026-08-07T13:09:29.071872Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:09:28.678894Z","title":"Breast cancer prediction based on machine learning,","venue":null,"work_id":"7edd7a31-c0de-4fee-a7e3-4e945af0f2fe","year":2023},"citing_paper":{"arxiv_id":"2506.14791","last_updated":"2025-05-28T16:09:34Z","snapshot_observed_at":"2026-08-12T21:40:35.535826Z","submitted_at":"2025-05-28T16:09:34Z","title":"SemIRNet: A Semantic Irony Recognition Network for Multimodal Sarcasm Detection","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T13:09:25.529642Z"},"links":{"citing_paper":"/paper/2506.14791"},"observation_digest":"sha256:f26eecb50691a40c92b67535d15197a34728f53f3b3f94b55914853101e2d427","observation_id":"478a32cb-b1dc-4f24-a5ac-95492288a6e9","resolution":{"observed_at":"2026-08-07T13:09:28.813966Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.00247","last_updated":"2024-03-25T08:34:15Z","snapshot_observed_at":"2026-08-13T10:43:34.132073Z","submitted_at":"2023-08-01T03:00:36Z","title":"Unleashing the Power of Self-Supervised Image Denoising: A Comprehensive Review","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.00247","snapshot_observed_at":"2026-08-07T13:09:25.692549Z","title":"Unleashing the power of self-supervised image denoising: A comprehensive review,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.14791","last_updated":"2025-05-28T16:09:34Z","snapshot_observed_at":"2026-08-12T21:40:35.535826Z","submitted_at":"2025-05-28T16:09:34Z","title":"SemIRNet: A Semantic Irony Recognition Network for Multimodal Sarcasm Detection","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T13:09:25.692549Z"},"links":{"cited_paper":"/paper/2308.00247","citing_paper":"/paper/2506.14791"},"observation_digest":"sha256:46e81c56a8d7969a21592597f8472f316baab1fcf2e210deeff47b4f5ab6be50","observation_id":"87d5dc5b-601e-4098-9976-de61e5538881","resolution":{"observed_at":"2026-08-07T13:09:25.692549Z","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":"2026-08-07T13:09:28.388164Z","title":"Adamml: Adaptive multi-modal learn- ing for efficient video recognition,","venue":null,"work_id":"91cb30ea-911d-4e84-bc82-0393174e69f4","year":2021},"citing_paper":{"arxiv_id":"2506.14791","last_updated":"2025-05-28T16:09:34Z","snapshot_observed_at":"2026-08-12T21:40:35.535826Z","submitted_at":"2025-05-28T16:09:34Z","title":"SemIRNet: A Semantic Irony Recognition Network for Multimodal Sarcasm Detection","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T13:09:25.820798Z"},"links":{"citing_paper":"/paper/2506.14791"},"observation_digest":"sha256:f8a5e95bf55122039fc1d977a394579244e6bc1895cacdae3b0f255549e3555a","observation_id":"245dbeba-37c7-4187-9b22-93eff306697e","resolution":{"observed_at":"2026-08-07T13:09:28.545731Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:09:28.140552Z","title":"Hka: A hierarchical knowledge alignment framework for multimodal knowledge graph completion,","venue":null,"work_id":"b5829cb1-c176-4101-804b-224363fd80a3","year":2024},"citing_paper":{"arxiv_id":"2506.14791","last_updated":"2025-05-28T16:09:34Z","snapshot_observed_at":"2026-08-12T21:40:35.535826Z","submitted_at":"2025-05-28T16:09:34Z","title":"SemIRNet: A Semantic Irony Recognition Network for Multimodal Sarcasm Detection","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T13:09:25.923807Z"},"links":{"citing_paper":"/paper/2506.14791"},"observation_digest":"sha256:ea2a6ef58070257dbbaa558606f128f68fec3b4e8f903605aed9d72b144295e3","observation_id":"f8ecba2e-74e7-4a1d-bad6-34ea05db31c3","resolution":{"observed_at":"2026-08-07T13:09:28.247788Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:09:27.919814Z","title":"A decade of sentic computing: topic modeling and bibliometric analysis,","venue":null,"work_id":"ec7246b6-1991-47c7-92e8-96c0cf87a187","year":2022},"citing_paper":{"arxiv_id":"2506.14791","last_updated":"2025-05-28T16:09:34Z","snapshot_observed_at":"2026-08-12T21:40:35.535826Z","submitted_at":"2025-05-28T16:09:34Z","title":"SemIRNet: A Semantic Irony Recognition Network for Multimodal Sarcasm Detection","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T13:09:26.070083Z"},"links":{"citing_paper":"/paper/2506.14791"},"observation_digest":"sha256:f35db4e2f8573f72a884f3bbe4590830a1908cba113f1fccbc474facc373df6e","observation_id":"0dc9ab98-95a0-40b9-be35-2778faaf462c","resolution":{"observed_at":"2026-08-07T13:09:28.031063Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:09:27.689805Z","title":"Hierarchical attention network with progressive feature fusion for facial expression recognition,","venue":null,"work_id":"8e84a6e8-95f0-4ee3-b342-53daf4994433","year":2024},"citing_paper":{"arxiv_id":"2506.14791","last_updated":"2025-05-28T16:09:34Z","snapshot_observed_at":"2026-08-12T21:40:35.535826Z","submitted_at":"2025-05-28T16:09:34Z","title":"SemIRNet: A Semantic Irony Recognition Network for Multimodal Sarcasm Detection","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T13:09:26.216043Z"},"links":{"citing_paper":"/paper/2506.14791"},"observation_digest":"sha256:bec10401830797d678d6a5b9d262d2daf81f66bfc071f24819b7af9d9f623c3b","observation_id":"2dddadb0-c373-4cbe-8239-77c0fd39627c","resolution":{"observed_at":"2026-08-07T13:09:27.817626Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:09:27.426025Z","title":"Cad-contextual multi-modal alignment for dynamic avqa,","venue":null,"work_id":"ac966084-827c-4e87-b6e9-827d6946b127","year":2024},"citing_paper":{"arxiv_id":"2506.14791","last_updated":"2025-05-28T16:09:34Z","snapshot_observed_at":"2026-08-12T21:40:35.535826Z","submitted_at":"2025-05-28T16:09:34Z","title":"SemIRNet: A Semantic Irony Recognition Network for Multimodal Sarcasm Detection","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T13:09:26.367165Z"},"links":{"citing_paper":"/paper/2506.14791"},"observation_digest":"sha256:fc5ac856c8d8e7f75eab594167935d78b45dd906bfe10fed9468f0eff50a1e7f","observation_id":"5e4e9793-09f4-45c1-87e8-2025a6cf34a4","resolution":{"observed_at":"2026-08-07T13:09:27.560559Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:09:27.158224Z","title":"Cognitive-inspired deep learning models for aspect-based sentiment analysis: A retrospective overview and bibliometric analysis,","venue":null,"work_id":"c26e5338-aacc-46f2-8243-f000be1f1d74","year":2024},"citing_paper":{"arxiv_id":"2506.14791","last_updated":"2025-05-28T16:09:34Z","snapshot_observed_at":"2026-08-12T21:40:35.535826Z","submitted_at":"2025-05-28T16:09:34Z","title":"SemIRNet: A Semantic Irony Recognition Network for Multimodal Sarcasm Detection","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T13:09:26.505100Z"},"links":{"citing_paper":"/paper/2506.14791"},"observation_digest":"sha256:f2c3ccc18651eb13d774fa319d4f539a048f906433877a99e2239d03bce2101c","observation_id":"cd84e633-2b04-4e68-aed4-44085ab6914b","resolution":{"observed_at":"2026-08-07T13:09:27.296438Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.14791","last_updated":"2025-05-28T16:09:34Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-12T21:40:35.535826Z","submitted_at":"2025-05-28T16:09:34Z","title":"SemIRNet: A Semantic Irony Recognition Network for Multimodal Sarcasm Detection"},"reference_resolution":{"displayed":22,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":1,"verified_exact":2,"verified_fuzzy":19},"total_outbound_references":22},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2506.14791."}