{"as_of":"2026-08-21T05:00:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e5ec728885f5b6f7f40e9380c0fc2e5456e9e9a544bceaf5987b349577545fae","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":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-20T06:33:59.587034+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T23:21:12.075122Z","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":"2026-07-01T23:06:21.381526Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2410.12219","last_updated":"2024-10-16T04:29:46Z","snapshot_observed_at":"2026-08-17T13:13:38.204740Z","submitted_at":"2024-10-16T04:29:46Z","title":"OmnixR: Evaluating Omni-modality Language Models on Reasoning across Modalities","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.12219","snapshot_observed_at":"2026-08-15T23:21:12.075122Z","title":"Omnixr: Evaluating omni-modality language models on reasoning across modalities","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.04921","last_updated":"2025-07-06T14:40:27Z","snapshot_observed_at":"2026-08-15T23:15:46.193892Z","submitted_at":"2025-05-08T03:35:23Z","title":"Perception, Reason, Think, and Plan: A Survey on Large Multimodal Reasoning Models","version":2},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-15T23:21:12.075122Z"},"links":{"cited_paper":"/paper/2410.12219","citing_paper":"/paper/2505.04921"},"observation_digest":"sha256:d7b078789efd56da82a6d343850fffbaf3997266cc2802e62a226c03acee0032","observation_id":"4c956736-d011-4c89-800f-6cbb2261f431","resolution":{"observed_at":"2026-08-15T23:21:12.075122Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.12219","last_updated":"2024-10-16T04:29:46Z","snapshot_observed_at":"2026-08-17T13:13:38.204740Z","submitted_at":"2024-10-16T04:29:46Z","title":"OmnixR: Evaluating Omni-modality Language Models on Reasoning across Modalities","version":1},"cited_work":{"arxiv_id":"2410.12219","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.12219","snapshot_observed_at":"2026-07-01T23:06:21.381526Z","title":"Omnixr: Evaluating omni-modality language models on reasoning across modal- ities","venue":null,"work_id":"ccdbb47d-a108-43e7-98dc-db3769fb9b31","year":2024},"citing_paper":{"arxiv_id":"2512.08923","last_updated":"2026-04-22T09:19:17Z","snapshot_observed_at":"2026-08-21T04:06:39.161711Z","submitted_at":"2025-12-09T18:57:07Z","title":"Same Content, Different Answers: Cross-Modal Inconsistency in MLLMs","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-16T23:52:13.813452Z"},"links":{"cited_paper":"/paper/2410.12219","citing_paper":"/paper/2512.08923"},"observation_digest":"sha256:66bbac03c4783d4ad947061f4bd8971dea14ed3c028584117d67d6cde0384a2b","observation_id":"e10d9367-0423-4a63-9e85-fb27745fe9c2","resolution":{"observed_at":"2026-05-16T23:53:42.853563Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.12219","last_updated":"2024-10-16T04:29:46Z","snapshot_observed_at":"2026-08-17T13:13:38.204740Z","submitted_at":"2024-10-16T04:29:46Z","title":"OmnixR: Evaluating Omni-modality Language Models on Reasoning across Modalities","version":1},"cited_work":{"arxiv_id":"2410.12219","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.12219","snapshot_observed_at":"2026-07-01T23:06:21.381526Z","title":"Omnixr: Evaluating omni-modality language models on reasoning across modal- ities","venue":null,"work_id":"ccdbb47d-a108-43e7-98dc-db3769fb9b31","year":2024},"citing_paper":{"arxiv_id":"2606.00959","last_updated":"2026-08-08T13:46:52Z","snapshot_observed_at":"2026-08-13T23:16:38.345689Z","submitted_at":"2026-05-31T02:29:36Z","title":"Towards Understanding Modality Interaction in Multimodal Language Models via Partial Information Decomposition","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-06-28T17:40:30.038337Z"},"links":{"cited_paper":"/paper/2410.12219","citing_paper":"/paper/2606.00959"},"observation_digest":"sha256:162456eab8fafbdc98113a556d46bb39bc09ea57782f1f51de96cf121cf7403a","observation_id":"8744b7f7-ad61-461d-b123-0cfac58f433a","resolution":{"observed_at":"2026-06-28T17:42:26.150741Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.12219","last_updated":"2024-10-16T04:29:46Z","snapshot_observed_at":"2026-08-17T13:13:38.204740Z","submitted_at":"2024-10-16T04:29:46Z","title":"OmnixR: Evaluating Omni-modality Language Models on Reasoning across Modalities","version":1},"cited_work":{"arxiv_id":"2410.12219","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.12219","snapshot_observed_at":"2026-07-01T23:06:21.381526Z","title":"Omnixr: Evaluating omni-modality language models on reasoning across modal- ities","venue":null,"work_id":"ccdbb47d-a108-43e7-98dc-db3769fb9b31","year":2024},"citing_paper":{"arxiv_id":"2606.07643","last_updated":"2026-06-01T19:12:09Z","snapshot_observed_at":"2026-08-04T07:32:54.888878Z","submitted_at":"2026-06-01T19:12:09Z","title":"AVI-Bench: Toward Human-like Audio-Visual Intelligence of Omni-MLLMs","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-06-28T14:36:53.295540Z"},"links":{"cited_paper":"/paper/2410.12219","citing_paper":"/paper/2606.07643"},"observation_digest":"sha256:afe7209f07129e96126ab2ec3e544b652b6aefdb5e77f9c58d6290a4533b3f59","observation_id":"6b7387cf-e11a-4262-87a7-3310372b1b71","resolution":{"observed_at":"2026-07-01T23:06:21.383632Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.12219","last_updated":"2024-10-16T04:29:46Z","snapshot_observed_at":"2026-08-17T13:13:38.204740Z","submitted_at":"2024-10-16T04:29:46Z","title":"OmnixR: Evaluating Omni-modality Language Models on Reasoning across Modalities","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.12219","snapshot_observed_at":"2026-08-03T00:55:23.079089Z","title":"Omnixr: Evaluating omni-modality language models on reasoning across modalities.arXiv preprint arXiv:2410.12219, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.28640","last_updated":"2026-05-20T00:25:52Z","snapshot_observed_at":"2026-08-12T15:37:51.134557Z","submitted_at":"2026-05-20T00:25:52Z","title":"TokenSwap: Benchmarking and Reducing the Modality Gap in Multimodal LLMs","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-03T00:55:23.079089Z"},"links":{"cited_paper":"/paper/2410.12219","citing_paper":"/paper/2607.28640"},"observation_digest":"sha256:049a0f6ecf01e4c2e62746f2ee46f918f3d48cee375aca91b94aff3f8808cd6b","observation_id":"6704d8d7-3840-44fe-a0a4-fcc9e4296d58","resolution":{"observed_at":"2026-08-03T00:55:23.079089Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2410.12219/citation-record","integrity":"/paper/2410.12219/integrity","json":"/paper/2410.12219/citation-record.json","paper":"/paper/2410.12219"},"outbound":[],"paper":{"arxiv_id":"2410.12219","last_updated":"2024-10-16T04:29:46Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-17T13:13:38.204740Z","submitted_at":"2024-10-16T04:29:46Z","title":"OmnixR: Evaluating Omni-modality Language Models on Reasoning across Modalities"},"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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2410.12219."}