{"as_of":"2026-08-07T23:33:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:313541d29ce3f1a31c3144a750fdad6c38dd3e44ea4c41818c451b919c35c155","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":8,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":8,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":8,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":8,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:28:11.299183Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-03T09:17:48.884863Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1904.06618","last_updated":"2019-04-14T03:15:38Z","snapshot_observed_at":"2026-08-02T08:41:51.600809Z","submitted_at":"2019-04-14T03:15:38Z","title":"UR-FUNNY: A Multimodal Language Dataset for Understanding Humor","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1904.06618","snapshot_observed_at":"2026-08-07T14:28:11.299183Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2505.18903","last_updated":"2025-05-24T23:31:52Z","snapshot_observed_at":"2026-08-07T14:21:26.782515Z","submitted_at":"2025-05-24T23:31:52Z","title":"StandUp4AI: A New Multilingual Dataset for Humor Detection in Stand-up Comedy Videos","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-07T14:28:11.299183Z"},"links":{"cited_paper":"/paper/1904.06618","citing_paper":"/paper/2505.18903"},"observation_digest":"sha256:4c162e4f607157d52020eb48a51699459083bd8f4400692841eb3e1dc6beadb2","observation_id":"a5224dd0-3e7d-440f-9faa-aaafb862ed71","resolution":{"observed_at":"2026-08-07T14:28:11.299183Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1904.06618","last_updated":"2019-04-14T03:15:38Z","snapshot_observed_at":"2026-08-02T08:41:51.600809Z","submitted_at":"2019-04-14T03:15:38Z","title":"UR-FUNNY: A Multimodal Language Dataset for Understanding Humor","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1904.06618","snapshot_observed_at":"2026-08-07T05:52:32.244311Z","title":"K., Rahman, W., Zadeh, A., Zhong, J., Tanveer, M","venue":null,"work_id":null,"year":1904},"citing_paper":{"arxiv_id":"2506.17248","last_updated":"2025-06-08T02:39:25Z","snapshot_observed_at":"2026-08-07T05:42:43.224005Z","submitted_at":"2025-06-08T02:39:25Z","title":"Efficient Quantification of Multimodal Interaction at Sample Level","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:32.244311Z"},"links":{"cited_paper":"/paper/1904.06618","citing_paper":"/paper/2506.17248"},"observation_digest":"sha256:59882da24304ba88cd81fc8632d15248157063fc5e97ce23550f2b4560e4a497","observation_id":"c7ac0c3c-ab6a-4d69-8447-200c95f06dec","resolution":{"observed_at":"2026-08-07T05:52:32.244311Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1904.06618","last_updated":"2019-04-14T03:15:38Z","snapshot_observed_at":"2026-08-02T08:41:51.600809Z","submitted_at":"2019-04-14T03:15:38Z","title":"UR-FUNNY: A Multimodal Language Dataset for Understanding Humor","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1904.06618","snapshot_observed_at":"2026-08-06T05:02:24.443408Z","title":"Ur-funny: A multimodal language dataset for understanding humor,","venue":null,"work_id":null,"year":1904},"citing_paper":{"arxiv_id":"2508.02429","last_updated":"2025-08-04T13:49:03Z","snapshot_observed_at":"2026-08-06T21:46:10.432808Z","submitted_at":"2025-08-04T13:49:03Z","title":"Multimodal Large Language Models for End-to-End Affective Computing: Benchmarking and Boosting with Generative Knowledge Prompting","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T05:02:24.443408Z"},"links":{"cited_paper":"/paper/1904.06618","citing_paper":"/paper/2508.02429"},"observation_digest":"sha256:96eea671024437bdf7385a95526a101f87dc89b451d2b75badae9d8f91a0353e","observation_id":"0855267a-b265-4c1c-838b-74924086cff2","resolution":{"observed_at":"2026-08-06T05:02:24.443408Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1904.06618","last_updated":"2019-04-14T03:15:38Z","snapshot_observed_at":"2026-08-02T08:41:51.600809Z","submitted_at":"2019-04-14T03:15:38Z","title":"UR-FUNNY: A Multimodal Language Dataset for Understanding Humor","version":1},"cited_work":{"arxiv_id":"1904.06618","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1904.06618","snapshot_observed_at":"2026-07-03T09:17:48.884863Z","title":"Ur-funny: A multimodal language dataset for understanding humor","venue":null,"work_id":"e62cc803-e72c-43dc-9447-11c85115df03","year":1904},"citing_paper":{"arxiv_id":"2511.21331","last_updated":"2026-04-03T11:14:20Z","snapshot_observed_at":"2026-07-06T22:37:03.716474Z","submitted_at":"2025-11-26T12:25:55Z","title":"The More, the Merrier: Contrastive Fusion for Higher-Order Multimodal Alignment","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-17T05:03:49.279871Z"},"links":{"cited_paper":"/paper/1904.06618","citing_paper":"/paper/2511.21331"},"observation_digest":"sha256:54594bcceb11693529f9768fda599ed3d535b88ddfdee65f3809999a57134493","observation_id":"bbc70ecc-699a-415b-932c-e338470d9358","resolution":{"observed_at":"2026-05-17T05:04:03.288291Z","resolver_source":"arxiv_id","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":{"arxiv_id":"1904.06618","last_updated":"2019-04-14T03:15:38Z","snapshot_observed_at":"2026-08-02T08:41:51.600809Z","submitted_at":"2019-04-14T03:15:38Z","title":"UR-FUNNY: A Multimodal Language Dataset for Understanding Humor","version":1},"cited_work":{"arxiv_id":"1904.06618","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1904.06618","snapshot_observed_at":"2026-07-03T09:17:48.884863Z","title":"Ur-funny: A multimodal language dataset for understanding humor","venue":null,"work_id":"e62cc803-e72c-43dc-9447-11c85115df03","year":1904},"citing_paper":{"arxiv_id":"2604.18460","last_updated":"2026-04-20T16:16:36Z","snapshot_observed_at":"2026-07-06T23:05:17.639285Z","submitted_at":"2026-04-20T16:16:36Z","title":"Learning Invariant Modality Representation for Robust Multimodal Learning from a Causal Inference Perspective","version":1},"reference_index":171,"source":"arxiv_source","source_observed_at":"2026-05-10T04:32:29.428080Z"},"links":{"cited_paper":"/paper/1904.06618","citing_paper":"/paper/2604.18460"},"observation_digest":"sha256:43327b051a615c2fc65b4fa28505e6090596d2c02886d20d44750ca38f69db13","observation_id":"5e63f527-fb77-4d21-a071-22c883e8a79f","resolution":{"observed_at":"2026-05-11T11:51:03.173555Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"1904.06618","last_updated":"2019-04-14T03:15:38Z","snapshot_observed_at":"2026-08-02T08:41:51.600809Z","submitted_at":"2019-04-14T03:15:38Z","title":"UR-FUNNY: A Multimodal Language Dataset for Understanding Humor","version":1},"cited_work":{"arxiv_id":"1904.06618","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1904.06618","snapshot_observed_at":"2026-07-03T09:17:48.884863Z","title":"Ur-funny: A multimodal language dataset for understanding humor","venue":null,"work_id":"e62cc803-e72c-43dc-9447-11c85115df03","year":1904},"citing_paper":{"arxiv_id":"2605.06309","last_updated":"2026-05-13T09:35:17Z","snapshot_observed_at":"2026-07-06T23:18:46.145104Z","submitted_at":"2026-05-07T14:11:44Z","title":"MultiLinguahah : A New Unsupervised Multilingual Acoustic Laughter Segmentation Method","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-08T10:26:42.297284Z"},"links":{"cited_paper":"/paper/1904.06618","citing_paper":"/paper/2605.06309"},"observation_digest":"sha256:69b7263a7a6e6c6900585f24480fcff0d3597d8539cf20fb459816cee457e0c5","observation_id":"a37abf21-d9cc-4b37-9916-0dad22b8afcb","resolution":{"observed_at":"2026-05-11T20:01:12.220297Z","resolver_source":"arxiv_id","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":{"arxiv_id":"1904.06618","last_updated":"2019-04-14T03:15:38Z","snapshot_observed_at":"2026-08-02T08:41:51.600809Z","submitted_at":"2019-04-14T03:15:38Z","title":"UR-FUNNY: A Multimodal Language Dataset for Understanding Humor","version":1},"cited_work":{"arxiv_id":"1904.06618","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1904.06618","snapshot_observed_at":"2026-07-03T09:17:48.884863Z","title":"Ur-funny: A multimodal language dataset for understanding humor","venue":null,"work_id":"e62cc803-e72c-43dc-9447-11c85115df03","year":1904},"citing_paper":{"arxiv_id":"2605.06309","last_updated":"2026-05-13T09:35:17Z","snapshot_observed_at":"2026-07-06T23:18:46.145104Z","submitted_at":"2026-05-07T14:11:44Z","title":"MultiLinguahah : A New Unsupervised Multilingual Acoustic Laughter Segmentation Method","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-14T21:17:54.058334Z"},"links":{"cited_paper":"/paper/1904.06618","citing_paper":"/paper/2605.06309"},"observation_digest":"sha256:ba52cb27ad91d9aa0601bd67f0ce8c5cea36537c6c10a1431067f51fd441811b","observation_id":"e01196dd-d9d8-40f8-9a6c-8c4e5be4bbb5","resolution":{"observed_at":"2026-05-14T21:17:58.509644Z","resolver_source":"arxiv_id","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":{"arxiv_id":"1904.06618","last_updated":"2019-04-14T03:15:38Z","snapshot_observed_at":"2026-08-02T08:41:51.600809Z","submitted_at":"2019-04-14T03:15:38Z","title":"UR-FUNNY: A Multimodal Language Dataset for Understanding Humor","version":1},"cited_work":{"arxiv_id":"1904.06618","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1904.06618","snapshot_observed_at":"2026-07-03T09:17:48.884863Z","title":"Ur-funny: A multimodal language dataset for understanding humor","venue":null,"work_id":"e62cc803-e72c-43dc-9447-11c85115df03","year":1904},"citing_paper":{"arxiv_id":"2606.11614","last_updated":"2026-06-10T03:27:13Z","snapshot_observed_at":"2026-07-06T23:50:39.386691Z","submitted_at":"2026-06-10T03:27:13Z","title":"Information-Theoretic Decomposition for Multimodal Interaction Learning","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-06-27T10:25:02.384395Z"},"links":{"cited_paper":"/paper/1904.06618","citing_paper":"/paper/2606.11614"},"observation_digest":"sha256:94b5b15466d01985050c015581eb0bb0751f2d3a0b4dbb7ee884738fd308acf7","observation_id":"cb12535a-5f4f-433b-8364-08f8dcb7ee50","resolution":{"observed_at":"2026-07-03T09:17:48.886686Z","resolver_source":"arxiv_id","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"}}],"links":{"evidence":"/evidence","html":"/paper/1904.06618/citation-record","integrity":"/paper/1904.06618/integrity","json":"/paper/1904.06618/citation-record.json","paper":"/paper/1904.06618"},"outbound":[],"paper":{"arxiv_id":"1904.06618","last_updated":"2019-04-14T03:15:38Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-02T08:41:51.600809Z","submitted_at":"2019-04-14T03:15:38Z","title":"UR-FUNNY: A Multimodal Language Dataset for Understanding Humor"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:1904.06618."}