{"as_of":"2026-08-10T03:25:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d737820170a6adf624cda2536211ce2a6aa5474200b437f691464baa0e188360","coverage":[{"denominator":36,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":36,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:51:26.284792Z","state":"measured"},{"denominator":37,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":37,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+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":"2026-08-06T21:10:59.418292Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-06T21:10:59.541922Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.17433","last_updated":"2025-06-04T08:55:43Z","snapshot_observed_at":"2026-08-08T01:24:25.553354Z","submitted_at":"2025-05-23T03:27:23Z","title":"MemeReaCon: Probing Contextual Meme Understanding in Large Vision-Language Models","version":2},"cited_work":{"arxiv_id":"2505.17433","doi":null,"metadata_source":"pith","pith_arxiv_id":"2505.17433","snapshot_observed_at":"2026-08-06T21:10:59.541922Z","title":"MemeReaCon: Probing Contextual Meme Understanding in Large Vision-Language Models","venue":"cs.AI","work_id":"f4974066-11ac-42a6-90ab-c32f8f670a98","year":2025},"citing_paper":{"arxiv_id":"2507.00891","last_updated":"2025-07-01T15:57:14Z","snapshot_observed_at":"2026-08-08T11:35:33.857072Z","submitted_at":"2025-07-01T15:57:14Z","title":"MemeCMD: An Automatically Generated Chinese Multi-turn Dialogue Dataset with Contextually Retrieved Memes","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T21:10:59.418292Z"},"links":{"cited_paper":"/paper/2505.17433","citing_paper":"/paper/2507.00891"},"observation_digest":"sha256:6ab4c5573b2033024e9215c8b5fb0b693a4ee07748937e05e891cf3b1ed8e5a8","observation_id":"4a234fa5-2690-4ca9-a3ad-76c2d67592e5","resolution":{"observed_at":"2026-08-06T21:10:59.548052Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2505.17433/citation-record","integrity":"/paper/2505.17433/integrity","json":"/paper/2505.17433/citation-record.json","paper":"/paper/2505.17433"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2412.08905","last_updated":"2024-12-12T03:37:41Z","snapshot_observed_at":"2026-08-05T04:04:21.846023Z","submitted_at":"2024-12-12T03:37:41Z","title":"Phi-4 Technical Report","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.08905","snapshot_observed_at":"2026-08-07T14:51:22.694834Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.17433","last_updated":"2025-06-04T08:55:43Z","snapshot_observed_at":"2026-08-08T01:24:25.553354Z","submitted_at":"2025-05-23T03:27:23Z","title":"MemeReaCon: Probing Contextual Meme Understanding in Large Vision-Language Models","version":2},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-07T14:51:22.694834Z"},"links":{"cited_paper":"/paper/2412.08905","citing_paper":"/paper/2505.17433"},"observation_digest":"sha256:65f042055d63bde722b3e2a7bf5dade901fe8cd2826de4d8a28f73064a9c26bb","observation_id":"c1464c53-2149-401a-856d-c1907eb52089","resolution":{"observed_at":"2026-08-07T14:51:22.694834Z","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":"2026-08-07T14:51:30.090359Z","title":null,"venue":null,"work_id":"ee423ae1-0cf1-4077-980e-3cb7868da91f","year":2022},"citing_paper":{"arxiv_id":"2505.17433","last_updated":"2025-06-04T08:55:43Z","snapshot_observed_at":"2026-08-08T01:24:25.553354Z","submitted_at":"2025-05-23T03:27:23Z","title":"MemeReaCon: Probing Contextual Meme Understanding in Large Vision-Language Models","version":2},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-07T14:51:22.822984Z"},"links":{"citing_paper":"/paper/2505.17433"},"observation_digest":"sha256:a697e9dbc0b1a80b942a81bfb88c9ae7cfea9c4ee443ff582e4e07d9f787baaa","observation_id":"5c822645-74a3-4260-bdb0-5da69ded9349","resolution":{"observed_at":"2026-08-07T14:51:30.138570Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:51:29.948761Z","title":null,"venue":null,"work_id":"8e3265ca-8c8b-4def-8f06-257f80710485","year":2025},"citing_paper":{"arxiv_id":"2505.17433","last_updated":"2025-06-04T08:55:43Z","snapshot_observed_at":"2026-08-08T01:24:25.553354Z","submitted_at":"2025-05-23T03:27:23Z","title":"MemeReaCon: Probing Contextual Meme Understanding in Large Vision-Language Models","version":2},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-07T14:51:22.877498Z"},"links":{"citing_paper":"/paper/2505.17433"},"observation_digest":"sha256:5646998bfc9c3ba73ca71ea2469074f44c13c4cc000a95f5e3d3f3acd542bdc4","observation_id":"57e16d92-934e-4d04-8c66-70f059ed8ad6","resolution":{"observed_at":"2026-08-07T14:51:30.000272Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.13923","last_updated":"2025-02-19T18:00:14Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-02-19T18:00:14Z","title":"Qwen2.5-VL Technical Report","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.13923","snapshot_observed_at":"2026-08-07T14:51:22.956549Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.17433","last_updated":"2025-06-04T08:55:43Z","snapshot_observed_at":"2026-08-08T01:24:25.553354Z","submitted_at":"2025-05-23T03:27:23Z","title":"MemeReaCon: Probing Contextual Meme Understanding in Large Vision-Language Models","version":2},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-07T14:51:22.956549Z"},"links":{"cited_paper":"/paper/2502.13923","citing_paper":"/paper/2505.17433"},"observation_digest":"sha256:9dcf89b8cc37be9bd6cdb676e334e3231ebafe18ce597894f575298711fbcec2","observation_id":"656d74b2-2b8e-4405-9cdf-63829ea631a1","resolution":{"observed_at":"2026-08-07T14:51:22.956549Z","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":"2026-08-07T14:51:29.834286Z","title":"subverting the jewtocracy","venue":null,"work_id":"d2731272-054a-44b8-b45a-f3eda080f0d0","year":2021},"citing_paper":{"arxiv_id":"2505.17433","last_updated":"2025-06-04T08:55:43Z","snapshot_observed_at":"2026-08-08T01:24:25.553354Z","submitted_at":"2025-05-23T03:27:23Z","title":"MemeReaCon: Probing Contextual Meme Understanding in Large Vision-Language Models","version":2},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-07T14:51:23.015363Z"},"links":{"citing_paper":"/paper/2505.17433"},"observation_digest":"sha256:b382427b2700c9dd3d187ce0f640155538a264636b3756bba0af03ecf2604a98","observation_id":"8b24076e-3f2d-472f-9b89-9de5fd70fe8d","resolution":{"observed_at":"2026-08-07T14:51:29.882326Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:51:29.705742Z","title":null,"venue":null,"work_id":"7312e999-c6f6-4657-b41d-225e0ca90f10","year":2024},"citing_paper":{"arxiv_id":"2505.17433","last_updated":"2025-06-04T08:55:43Z","snapshot_observed_at":"2026-08-08T01:24:25.553354Z","submitted_at":"2025-05-23T03:27:23Z","title":"MemeReaCon: Probing Contextual Meme Understanding in Large Vision-Language Models","version":2},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-07T14:51:23.096221Z"},"links":{"citing_paper":"/paper/2505.17433"},"observation_digest":"sha256:68694dabfedefc95aabcfd64487d562c51cac2e4eaf2fa2e28415f3c1a7d03aa","observation_id":"fab8afbb-55f1-491a-9fd9-3853c435f613","resolution":{"observed_at":"2026-08-07T14:51:29.754686Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:51:29.602938Z","title":null,"venue":null,"work_id":"927782c5-b274-4bfd-9a4e-e5387e6d7e3f","year":2025},"citing_paper":{"arxiv_id":"2505.17433","last_updated":"2025-06-04T08:55:43Z","snapshot_observed_at":"2026-08-08T01:24:25.553354Z","submitted_at":"2025-05-23T03:27:23Z","title":"MemeReaCon: Probing Contextual Meme Understanding in Large Vision-Language Models","version":2},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-07T14:51:23.152624Z"},"links":{"citing_paper":"/paper/2505.17433"},"observation_digest":"sha256:f64e57b391a6c79771eaa4e58044f009a15ec028c4e71f44e637c73a75e94bde","observation_id":"3797f23b-63e9-4a51-950c-8d0ea89d0579","resolution":{"observed_at":"2026-08-07T14:51:29.654012Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:51:23.206077Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.17433","last_updated":"2025-06-04T08:55:43Z","snapshot_observed_at":"2026-08-08T01:24:25.553354Z","submitted_at":"2025-05-23T03:27:23Z","title":"MemeReaCon: Probing Contextual Meme Understanding in Large Vision-Language Models","version":2},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-07T14:51:23.206077Z"},"links":{"citing_paper":"/paper/2505.17433"},"observation_digest":"sha256:f6cd3f8eaf9b43986008be96ddf20c8edaa454368593c130978b89d2a6145710","observation_id":"866a3ad5-6cb1-4392-8005-801eb1719d64","resolution":{"observed_at":"2026-08-07T14:51:23.206077Z","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":"2026-08-07T14:51:29.435588Z","title":null,"venue":null,"work_id":"e22fecea-3f15-4e5b-8dfb-4a0255ac3b61","year":2023},"citing_paper":{"arxiv_id":"2505.17433","last_updated":"2025-06-04T08:55:43Z","snapshot_observed_at":"2026-08-08T01:24:25.553354Z","submitted_at":"2025-05-23T03:27:23Z","title":"MemeReaCon: Probing Contextual Meme Understanding in Large Vision-Language Models","version":2},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-07T14:51:23.329904Z"},"links":{"citing_paper":"/paper/2505.17433"},"observation_digest":"sha256:dc8950a4b1057cbdcd063ed26fafda80c27f812708d0b74e5e37e3fe3b619389","observation_id":"4351bcb3-ee0f-4eb9-bce6-bb6c073cd714","resolution":{"observed_at":"2026-08-07T14:51:29.481131Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:51:23.426518Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.17433","last_updated":"2025-06-04T08:55:43Z","snapshot_observed_at":"2026-08-08T01:24:25.553354Z","submitted_at":"2025-05-23T03:27:23Z","title":"MemeReaCon: Probing Contextual Meme Understanding in Large Vision-Language Models","version":2},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-07T14:51:23.426518Z"},"links":{"citing_paper":"/paper/2505.17433"},"observation_digest":"sha256:d437bd6f6cb5437da3ea12d976b78a4314c68fc9b015eec42651ad9e9dae2830","observation_id":"b523acb2-b553-40f8-9c4e-6d861bd16b88","resolution":{"observed_at":"2026-08-07T14:51:23.426518Z","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":"2026-08-07T14:51:29.239162Z","title":null,"venue":null,"work_id":"fbd2cebd-afa1-45aa-b370-46e3922e3a0a","year":2024},"citing_paper":{"arxiv_id":"2505.17433","last_updated":"2025-06-04T08:55:43Z","snapshot_observed_at":"2026-08-08T01:24:25.553354Z","submitted_at":"2025-05-23T03:27:23Z","title":"MemeReaCon: Probing Contextual Meme Understanding in Large Vision-Language Models","version":2},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-07T14:51:23.526687Z"},"links":{"citing_paper":"/paper/2505.17433"},"observation_digest":"sha256:4907562da6cd963ae0476945386b2fce460cf8a9860ccf3c4196f012e0686026","observation_id":"fa00c716-dbce-401b-b208-2c9ef204810e","resolution":{"observed_at":"2026-08-07T14:51:29.345773Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.21276","last_updated":"2024-10-25T17:43:01Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-10-25T17:43:01Z","title":"GPT-4o System Card","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.21276","snapshot_observed_at":"2026-08-07T14:51:23.602798Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.17433","last_updated":"2025-06-04T08:55:43Z","snapshot_observed_at":"2026-08-08T01:24:25.553354Z","submitted_at":"2025-05-23T03:27:23Z","title":"MemeReaCon: Probing Contextual Meme Understanding in Large Vision-Language Models","version":2},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-07T14:51:23.602798Z"},"links":{"cited_paper":"/paper/2410.21276","citing_paper":"/paper/2505.17433"},"observation_digest":"sha256:24b4a6083ecea91218cf4955c52ba5d26e5c896ac049bf481f0baf888c70af5f","observation_id":"41e84a81-2fc2-42f7-a2e2-168aa40cf705","resolution":{"observed_at":"2026-08-07T14:51:23.602798Z","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":"2026-08-07T14:51:29.096957Z","title":null,"venue":null,"work_id":"e5139877-3d35-4951-80ac-c1e61b8d6599","year":2023},"citing_paper":{"arxiv_id":"2505.17433","last_updated":"2025-06-04T08:55:43Z","snapshot_observed_at":"2026-08-08T01:24:25.553354Z","submitted_at":"2025-05-23T03:27:23Z","title":"MemeReaCon: Probing Contextual Meme Understanding in Large Vision-Language Models","version":2},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-07T14:51:23.673980Z"},"links":{"citing_paper":"/paper/2505.17433"},"observation_digest":"sha256:7c6b37e404436f994d8498f121775b257b5982c094452c80ecb943099e1ba675","observation_id":"f93cf313-9cc6-4c3c-862c-84fc804abfac","resolution":{"observed_at":"2026-08-07T14:51:29.138451Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1909.02950","last_updated":"2020-11-12T03:08:28Z","snapshot_observed_at":"2026-07-06T08:19:42.994042Z","submitted_at":"2019-09-06T14:59:18Z","title":"Supervised Multimodal Bitransformers for Classifying Images and Text","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1909.02950","snapshot_observed_at":"2026-08-07T14:51:23.736320Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2505.17433","last_updated":"2025-06-04T08:55:43Z","snapshot_observed_at":"2026-08-08T01:24:25.553354Z","submitted_at":"2025-05-23T03:27:23Z","title":"MemeReaCon: Probing Contextual Meme Understanding in Large Vision-Language Models","version":2},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-07T14:51:23.736320Z"},"links":{"cited_paper":"/paper/1909.02950","citing_paper":"/paper/2505.17433"},"observation_digest":"sha256:dc145a1a058b2fdec76c689aae9bc94900cae58b61cfd634dff88baf320b28f1","observation_id":"7328b916-8264-4ecb-aaf9-3e64ec6d9e21","resolution":{"observed_at":"2026-08-07T14:51:23.736320Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:51:23.806601Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.17433","last_updated":"2025-06-04T08:55:43Z","snapshot_observed_at":"2026-08-08T01:24:25.553354Z","submitted_at":"2025-05-23T03:27:23Z","title":"MemeReaCon: Probing Contextual Meme Understanding in Large Vision-Language Models","version":2},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-07T14:51:23.806601Z"},"links":{"citing_paper":"/paper/2505.17433"},"observation_digest":"sha256:a0d1587d71a9b0e036e81f2934e5772619de5b829305c0dba3782a722a42f626","observation_id":"25b324c5-26f0-4146-8679-949570f996bf","resolution":{"observed_at":"2026-08-07T14:51:23.806601Z","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":"2026-08-07T14:51:28.917583Z","title":null,"venue":null,"work_id":"76ca0e03-b557-4539-b6c4-339a0ae7d4c2","year":2024},"citing_paper":{"arxiv_id":"2505.17433","last_updated":"2025-06-04T08:55:43Z","snapshot_observed_at":"2026-08-08T01:24:25.553354Z","submitted_at":"2025-05-23T03:27:23Z","title":"MemeReaCon: Probing Contextual Meme Understanding in Large Vision-Language Models","version":2},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-07T14:51:23.888079Z"},"links":{"citing_paper":"/paper/2505.17433"},"observation_digest":"sha256:93866b0f129f79a03048245bb1ca9b8bd13692e2ac158db6463cc94e6d414b52","observation_id":"9f761a45-fcb3-4f05-ac8d-76dfa5ee5ae0","resolution":{"observed_at":"2026-08-07T14:51:28.986757Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.03326","last_updated":"2024-10-26T16:35:13Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-08-06T17:59:44Z","title":"LLaVA-OneVision: Easy Visual Task Transfer","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.03326","snapshot_observed_at":"2026-08-07T14:51:23.962755Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.17433","last_updated":"2025-06-04T08:55:43Z","snapshot_observed_at":"2026-08-08T01:24:25.553354Z","submitted_at":"2025-05-23T03:27:23Z","title":"MemeReaCon: Probing Contextual Meme Understanding in Large Vision-Language Models","version":2},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-07T14:51:23.962755Z"},"links":{"cited_paper":"/paper/2408.03326","citing_paper":"/paper/2505.17433"},"observation_digest":"sha256:4e47dd4b48156f4758cf06911949908e01114e98ad542659f1d3cf8ef540797d","observation_id":"b5d07341-ed67-447b-b3bb-91ad124fc497","resolution":{"observed_at":"2026-08-07T14:51:23.962755Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.01523","last_updated":"2025-02-28T15:13:46Z","snapshot_observed_at":"2026-08-08T01:24:08.862743Z","submitted_at":"2024-01-03T03:28:55Z","title":"GOAT-Bench: Safety Insights to Large Multimodal Models through Meme-Based Social Abuse","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.01523","snapshot_observed_at":"2026-08-07T14:51:24.026407Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.17433","last_updated":"2025-06-04T08:55:43Z","snapshot_observed_at":"2026-08-08T01:24:25.553354Z","submitted_at":"2025-05-23T03:27:23Z","title":"MemeReaCon: Probing Contextual Meme Understanding in Large Vision-Language Models","version":2},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-07T14:51:24.026407Z"},"links":{"cited_paper":"/paper/2401.01523","citing_paper":"/paper/2505.17433"},"observation_digest":"sha256:aee8336e3815eb3b7b75951b5af105d770588d791bed2fd58802b2d3e1e127a8","observation_id":"9ac6af73-03cb-4d67-afff-1e795d3bd778","resolution":{"observed_at":"2026-08-07T14:51:24.026407Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2012.12871","last_updated":"2020-12-24T14:28:17Z","snapshot_observed_at":"2026-08-05T18:25:17.357704Z","submitted_at":"2020-12-23T18:37:11Z","title":"A Multimodal Framework for the Detection of Hateful Memes","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2012.12871","snapshot_observed_at":"2026-08-07T14:51:24.101717Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.17433","last_updated":"2025-06-04T08:55:43Z","snapshot_observed_at":"2026-08-08T01:24:25.553354Z","submitted_at":"2025-05-23T03:27:23Z","title":"MemeReaCon: Probing Contextual Meme Understanding in Large Vision-Language Models","version":2},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-07T14:51:24.101717Z"},"links":{"cited_paper":"/paper/2012.12871","citing_paper":"/paper/2505.17433"},"observation_digest":"sha256:0e7c49fda1857ed0e0e5d794e3c40e6c1b52c54d1d579afb37253716e06cdfdf","observation_id":"be4baaec-2a81-49ca-9a5b-7dd193d99442","resolution":{"observed_at":"2026-08-07T14:51:24.101717Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:51:24.204362Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.17433","last_updated":"2025-06-04T08:55:43Z","snapshot_observed_at":"2026-08-08T01:24:25.553354Z","submitted_at":"2025-05-23T03:27:23Z","title":"MemeReaCon: Probing Contextual Meme Understanding in Large Vision-Language Models","version":2},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-07T14:51:24.204362Z"},"links":{"citing_paper":"/paper/2505.17433"},"observation_digest":"sha256:77810c87f7a4eedf07efca473fc847d84d407ce54cc114dfc2497f64c9972d05","observation_id":"21e84378-7fde-4113-9831-bfef20705e1c","resolution":{"observed_at":"2026-08-07T14:51:24.204362Z","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":"2026-08-07T14:51:28.693225Z","title":null,"venue":null,"work_id":"99056860-db5b-4530-990f-fa111b11ddfa","year":2012},"citing_paper":{"arxiv_id":"2505.17433","last_updated":"2025-06-04T08:55:43Z","snapshot_observed_at":"2026-08-08T01:24:25.553354Z","submitted_at":"2025-05-23T03:27:23Z","title":"MemeReaCon: Probing Contextual Meme Understanding in Large Vision-Language Models","version":2},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-07T14:51:24.273864Z"},"links":{"citing_paper":"/paper/2505.17433"},"observation_digest":"sha256:1ae0a753eb99977c44806046db4686140a8441a6144d8d0a7b49b3e32c5ca722","observation_id":"34ba7a8d-db95-4659-bac2-313b82b76634","resolution":{"observed_at":"2026-08-07T14:51:28.783090Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:51:28.510530Z","title":null,"venue":null,"work_id":"5e2dd5b1-8bfe-4c1e-84da-75951e9be352","year":2024},"citing_paper":{"arxiv_id":"2505.17433","last_updated":"2025-06-04T08:55:43Z","snapshot_observed_at":"2026-08-08T01:24:25.553354Z","submitted_at":"2025-05-23T03:27:23Z","title":"MemeReaCon: Probing Contextual Meme Understanding in Large Vision-Language Models","version":2},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-07T14:51:24.341841Z"},"links":{"citing_paper":"/paper/2505.17433"},"observation_digest":"sha256:8344d3f86fc86f801d08bb5037e64010308196780ca26a44db5dc0a4c231c88a","observation_id":"a3109017-d79a-4599-915f-f348e4074702","resolution":{"observed_at":"2026-08-07T14:51:28.593306Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:51:28.196370Z","title":null,"venue":null,"work_id":"d4435bc7-b7ae-4642-bdd1-f939afd17e73","year":2021},"citing_paper":{"arxiv_id":"2505.17433","last_updated":"2025-06-04T08:55:43Z","snapshot_observed_at":"2026-08-08T01:24:25.553354Z","submitted_at":"2025-05-23T03:27:23Z","title":"MemeReaCon: Probing Contextual Meme Understanding in Large Vision-Language Models","version":2},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-07T14:51:24.434552Z"},"links":{"citing_paper":"/paper/2505.17433"},"observation_digest":"sha256:5bef6bfe9bfdeb44d6e65bc3acaf4822ee6903123403e02b28c69e7c60c280e7","observation_id":"5895e2ec-e8d5-4687-9229-62322587b438","resolution":{"observed_at":"2026-08-07T14:51:28.350385Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:51:27.857866Z","title":null,"venue":null,"work_id":"fc13c92e-4eba-4c2d-8e44-27384c92003b","year":2021},"citing_paper":{"arxiv_id":"2505.17433","last_updated":"2025-06-04T08:55:43Z","snapshot_observed_at":"2026-08-08T01:24:25.553354Z","submitted_at":"2025-05-23T03:27:23Z","title":"MemeReaCon: Probing Contextual Meme Understanding in Large Vision-Language Models","version":2},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-07T14:51:24.534886Z"},"links":{"citing_paper":"/paper/2505.17433"},"observation_digest":"sha256:a707ae15c25370dafadaf31eaa1e6abaea9e6c7fc68152eef2318fe137445753","observation_id":"7fe6c286-6c00-496d-bdc0-7e24a4bd2df9","resolution":{"observed_at":"2026-08-07T14:51:28.023396Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:51:27.529324Z","title":null,"venue":null,"work_id":"8bedf1a7-a8e8-441c-a20c-df635435b388","year":2024},"citing_paper":{"arxiv_id":"2505.17433","last_updated":"2025-06-04T08:55:43Z","snapshot_observed_at":"2026-08-08T01:24:25.553354Z","submitted_at":"2025-05-23T03:27:23Z","title":"MemeReaCon: Probing Contextual Meme Understanding in Large Vision-Language Models","version":2},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-07T14:51:24.539020Z"},"links":{"citing_paper":"/paper/2505.17433"},"observation_digest":"sha256:7fbb6f5fdf55a51e15477dc8a9ef1c8a6a9e1e4a33ccec5d455c236e41815713","observation_id":"24fa896e-93c9-4e89-87dc-ba5dd0c3c54b","resolution":{"observed_at":"2026-08-07T14:51:27.681329Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:51:24.632722Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.17433","last_updated":"2025-06-04T08:55:43Z","snapshot_observed_at":"2026-08-08T01:24:25.553354Z","submitted_at":"2025-05-23T03:27:23Z","title":"MemeReaCon: Probing Contextual Meme Understanding in Large Vision-Language Models","version":2},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-07T14:51:24.632722Z"},"links":{"citing_paper":"/paper/2505.17433"},"observation_digest":"sha256:f5b14465a5fbfbd5502c81dcb0b77cf124c286fd6254218466107bd39de69877","observation_id":"79db9df2-7706-45ab-bc99-66257ecd267b","resolution":{"observed_at":"2026-08-07T14:51:24.632722Z","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":"2026-08-07T14:51:27.301965Z","title":null,"venue":null,"work_id":"7b5f5c7d-7671-4d02-bd46-7402da472ea5","year":2022},"citing_paper":{"arxiv_id":"2505.17433","last_updated":"2025-06-04T08:55:43Z","snapshot_observed_at":"2026-08-08T01:24:25.553354Z","submitted_at":"2025-05-23T03:27:23Z","title":"MemeReaCon: Probing Contextual Meme Understanding in Large Vision-Language Models","version":2},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-07T14:51:24.753479Z"},"links":{"citing_paper":"/paper/2505.17433"},"observation_digest":"sha256:8903f282f56120a2f5a34aa8643f0a8408b3794797605495179b013913fcc148","observation_id":"1d8a17ff-c3a1-4a57-bdf1-92f14ef2801d","resolution":{"observed_at":"2026-08-07T14:51:27.416533Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:51:24.904890Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.17433","last_updated":"2025-06-04T08:55:43Z","snapshot_observed_at":"2026-08-08T01:24:25.553354Z","submitted_at":"2025-05-23T03:27:23Z","title":"MemeReaCon: Probing Contextual Meme Understanding in Large Vision-Language Models","version":2},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-07T14:51:24.904890Z"},"links":{"citing_paper":"/paper/2505.17433"},"observation_digest":"sha256:6565a4b86b08d5410d850e3aa39d03e59952d3b70dcf8cf9c117fbf7d0cfe6bb","observation_id":"6fff7ddf-8551-4693-90c7-345ea9978993","resolution":{"observed_at":"2026-08-07T14:51:24.904890Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2012.12975","last_updated":"2020-12-23T21:09:52Z","snapshot_observed_at":"2026-08-07T08:02:48.661874Z","submitted_at":"2020-12-23T21:09:52Z","title":"Detecting Hate Speech in Memes Using Multimodal Deep Learning Approaches: Prize-winning solution to Hateful Memes Challenge","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2012.12975","snapshot_observed_at":"2026-08-07T14:51:25.125073Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.17433","last_updated":"2025-06-04T08:55:43Z","snapshot_observed_at":"2026-08-08T01:24:25.553354Z","submitted_at":"2025-05-23T03:27:23Z","title":"MemeReaCon: Probing Contextual Meme Understanding in Large Vision-Language Models","version":2},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-07T14:51:25.125073Z"},"links":{"cited_paper":"/paper/2012.12975","citing_paper":"/paper/2505.17433"},"observation_digest":"sha256:11c11bbb71973da5b44ad95f8439bb2c9fb39a71b21bbba2411ea12f28d5b317","observation_id":"3abfb426-9433-4cad-8da4-ed3491d12b3c","resolution":{"observed_at":"2026-08-07T14:51:25.125073Z","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":"2026-08-07T14:51:27.034845Z","title":null,"venue":null,"work_id":"8b7e19fb-77a7-4560-8ae1-69de01392e5f","year":2024},"citing_paper":{"arxiv_id":"2505.17433","last_updated":"2025-06-04T08:55:43Z","snapshot_observed_at":"2026-08-08T01:24:25.553354Z","submitted_at":"2025-05-23T03:27:23Z","title":"MemeReaCon: Probing Contextual Meme Understanding in Large Vision-Language Models","version":2},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-07T14:51:25.289704Z"},"links":{"citing_paper":"/paper/2505.17433"},"observation_digest":"sha256:9acdd9566ab316f57549d61a379b096757c220dc26a35689ed23060e3fd93a3f","observation_id":"99d075cd-bb8a-4d48-9fb5-565626736ad7","resolution":{"observed_at":"2026-08-07T14:51:27.177390Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:51:26.782663Z","title":null,"venue":null,"work_id":"f0b411a7-2598-42d0-94f2-5435785f04c5","year":2025},"citing_paper":{"arxiv_id":"2505.17433","last_updated":"2025-06-04T08:55:43Z","snapshot_observed_at":"2026-08-08T01:24:25.553354Z","submitted_at":"2025-05-23T03:27:23Z","title":"MemeReaCon: Probing Contextual Meme Understanding in Large Vision-Language Models","version":2},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-07T14:51:25.484347Z"},"links":{"citing_paper":"/paper/2505.17433"},"observation_digest":"sha256:bdc63be4e8071bd33af587c7095431d83c51a863d753b82a7772b1137419d981","observation_id":"87e1d1b5-33da-4a28-bffc-514effc7ca59","resolution":{"observed_at":"2026-08-07T14:51:26.880168Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.20215","last_updated":"2025-03-26T04:17:55Z","snapshot_observed_at":"2026-08-06T08:46:20.194739Z","submitted_at":"2025-03-26T04:17:55Z","title":"Qwen2.5-Omni Technical Report","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.20215","snapshot_observed_at":"2026-08-07T14:51:25.627355Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.17433","last_updated":"2025-06-04T08:55:43Z","snapshot_observed_at":"2026-08-08T01:24:25.553354Z","submitted_at":"2025-05-23T03:27:23Z","title":"MemeReaCon: Probing Contextual Meme Understanding in Large Vision-Language Models","version":2},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-07T14:51:25.627355Z"},"links":{"cited_paper":"/paper/2503.20215","citing_paper":"/paper/2505.17433"},"observation_digest":"sha256:1f180fbfcb7cc1cf1025857ccf03d75afc25671887f9f6bd13bc077255399872","observation_id":"fe4599a3-211c-42a6-8768-36f91f6d6264","resolution":{"observed_at":"2026-08-07T14:51:25.627355Z","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":"2026-08-07T14:51:26.588327Z","title":null,"venue":null,"work_id":"863cb9ae-a677-4156-993c-7b1687067260","year":2024},"citing_paper":{"arxiv_id":"2505.17433","last_updated":"2025-06-04T08:55:43Z","snapshot_observed_at":"2026-08-08T01:24:25.553354Z","submitted_at":"2025-05-23T03:27:23Z","title":"MemeReaCon: Probing Contextual Meme Understanding in Large Vision-Language Models","version":2},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-07T14:51:25.784257Z"},"links":{"citing_paper":"/paper/2505.17433"},"observation_digest":"sha256:5d62fe3ca567ae2c7818824051d58e3f92aed899356da4c88f7118e7c85f4298","observation_id":"00b8d286-8038-4104-992a-51e03f55e6d0","resolution":{"observed_at":"2026-08-07T14:51:26.719728Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:51:25.944570Z","title":"Weinberger, and Yoav Artzi","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.17433","last_updated":"2025-06-04T08:55:43Z","snapshot_observed_at":"2026-08-08T01:24:25.553354Z","submitted_at":"2025-05-23T03:27:23Z","title":"MemeReaCon: Probing Contextual Meme Understanding in Large Vision-Language Models","version":2},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-07T14:51:25.944570Z"},"links":{"citing_paper":"/paper/2505.17433"},"observation_digest":"sha256:c27b35bf16fcdd9fe577ce47908a6b206cdb83623fc9d66016d2b540dc197e83","observation_id":"7a12c920-6350-43cc-8c51-a8a254c6a95d","resolution":{"observed_at":"2026-08-07T14:51:25.944570Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:51:26.111150Z","title":"online\" 'onlinestring :=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.17433","last_updated":"2025-06-04T08:55:43Z","snapshot_observed_at":"2026-08-08T01:24:25.553354Z","submitted_at":"2025-05-23T03:27:23Z","title":"MemeReaCon: Probing Contextual Meme Understanding in Large Vision-Language Models","version":2},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-07T14:51:26.111150Z"},"links":{"citing_paper":"/paper/2505.17433"},"observation_digest":"sha256:afa59190fd238217295ada542e24ef9bd98a550f0b465e715640ef3afe19cf05","observation_id":"d7daff59-f862-45ff-9404-3571454f7b69","resolution":{"observed_at":"2026-08-07T14:51:26.111150Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:51:26.284792Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.17433","last_updated":"2025-06-04T08:55:43Z","snapshot_observed_at":"2026-08-08T01:24:25.553354Z","submitted_at":"2025-05-23T03:27:23Z","title":"MemeReaCon: Probing Contextual Meme Understanding in Large Vision-Language Models","version":2},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-07T14:51:26.284792Z"},"links":{"citing_paper":"/paper/2505.17433"},"observation_digest":"sha256:6557b0e9269ffa4100a9e620bd381743874163a44c395930493fcb4136cfd59d","observation_id":"26658110-ab5b-4a67-909b-3b6f370185b0","resolution":{"observed_at":"2026-08-07T14:51:26.284792Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2505.17433","last_updated":"2025-06-04T08:55:43Z","latest_version":2,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-08T01:24:25.553354Z","submitted_at":"2025-05-23T03:27:23Z","title":"MemeReaCon: Probing Contextual Meme Understanding in Large Vision-Language Models"},"reference_resolution":{"displayed":36,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":35,"verified_exact":0,"verified_fuzzy":1},"total_outbound_references":36},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 1 inbound Pith citation observation for arXiv:2505.17433."}