{"as_of":"2026-08-09T10:51:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f61f903915f0f03d13c333c5263c8ad7357f26367de59051d2b39e1d6f6fb701","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":6,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":6,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":6,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":6,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T19:15:25.391619Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":0,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2412.07112","last_updated":"2024-12-10T01:57:17Z","snapshot_observed_at":"2026-07-06T20:04:20.826875Z","submitted_at":"2024-12-10T01:57:17Z","title":"Maya: An Instruction Finetuned Multilingual Multimodal Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.07112","snapshot_observed_at":"2026-08-06T19:15:25.391619Z","title":"Maya: 25 An instruction finetuned multilingual multimodal model.arXiv preprint arXiv:2412.07112,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.06137","last_updated":"2025-07-08T16:19:45Z","snapshot_observed_at":"2026-08-08T22:26:24.906449Z","submitted_at":"2025-07-08T16:19:45Z","title":"NeoBabel: A Multilingual Open Tower for Visual Generation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T19:15:25.391619Z"},"links":{"cited_paper":"/paper/2412.07112","citing_paper":"/paper/2507.06137"},"observation_digest":"sha256:5700305464243c892ce4edd0072ed6ea15584c9c95f0f09c65b7f3f17c012c77","observation_id":"cb33f64b-e506-4043-9aba-00eb31d940d3","resolution":{"observed_at":"2026-08-06T19:15:25.391619Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.07112","last_updated":"2024-12-10T01:57:17Z","snapshot_observed_at":"2026-07-06T20:04:20.826875Z","submitted_at":"2024-12-10T01:57:17Z","title":"Maya: An Instruction Finetuned Multilingual Multimodal Model","version":1},"cited_work":{"arxiv_id":"2412.07112","doi":"10.48550/arxiv.2412.07112","metadata_source":"arxiv_reference","pith_arxiv_id":"2412.07112","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2412.07112 , year =","venue":"arXiv (Cornell University)","work_id":"d94e98e1-943a-4ba3-a3d9-cab6f21756ea","year":2024},"citing_paper":{"arxiv_id":"2509.22123","last_updated":"2026-05-13T12:28:55Z","snapshot_observed_at":"2026-08-08T13:18:54.000166Z","submitted_at":"2025-09-26T09:46:13Z","title":"Multilingual Vision-Language Models, A Survey","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-18T13:02:08.000814Z"},"links":{"cited_paper":"/paper/2412.07112","citing_paper":"/paper/2509.22123"},"observation_digest":"sha256:ef2fc8884c5a2f411e858e6e921a0ec4443ebf4cc5e2ce6743ff7501c648f532","observation_id":"a9628523-1c33-47f3-9ef9-7c77523b71b6","resolution":{"observed_at":"2026-05-18T13:02:37.156203Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2412.07112","last_updated":"2024-12-10T01:57:17Z","snapshot_observed_at":"2026-07-06T20:04:20.826875Z","submitted_at":"2024-12-10T01:57:17Z","title":"Maya: An Instruction Finetuned Multilingual Multimodal Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.07112","snapshot_observed_at":"2026-08-03T16:07:32.033663Z","title":"Maya: An instruction finetuned multilingual multimodal model.arXiv preprint arXiv:2412.07112,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2512.14926","last_updated":"2026-07-05T06:57:07Z","snapshot_observed_at":"2026-08-03T16:07:31.110707Z","submitted_at":"2025-12-16T21:36:28Z","title":"Parameter Efficient Multimodal Instruction Tuning for Romanian Vision Language Models","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-03T16:07:32.033663Z"},"links":{"cited_paper":"/paper/2412.07112","citing_paper":"/paper/2512.14926"},"observation_digest":"sha256:057e71cda8338dc490167e4ccba6ef9934f91a56a090c1a478d05215142a53d7","observation_id":"17417c65-eed7-4054-8678-b36a85a47f69","resolution":{"observed_at":"2026-08-03T16:07:32.033663Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.07112","last_updated":"2024-12-10T01:57:17Z","snapshot_observed_at":"2026-07-06T20:04:20.826875Z","submitted_at":"2024-12-10T01:57:17Z","title":"Maya: An Instruction Finetuned Multilingual Multimodal Model","version":1},"cited_work":{"arxiv_id":"2412.07112","doi":"10.48550/arxiv.2412.07112","metadata_source":"arxiv_reference","pith_arxiv_id":"2412.07112","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2412.07112 , year =","venue":"arXiv (Cornell University)","work_id":"d94e98e1-943a-4ba3-a3d9-cab6f21756ea","year":2024},"citing_paper":{"arxiv_id":"2604.11490","last_updated":"2026-04-16T23:50:04Z","snapshot_observed_at":"2026-07-06T22:59:54.573362Z","submitted_at":"2026-04-13T13:56:00Z","title":"Anthropogenic Regional Adaptation in Multimodal Vision-Language Model","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-10T16:29:12.064221Z"},"links":{"cited_paper":"/paper/2412.07112","citing_paper":"/paper/2604.11490"},"observation_digest":"sha256:3ff544c71888ce72d009164126ffb32bb6c15a39ec137baf7ebc3cdbd47e8f70","observation_id":"b0c569c3-4146-434d-95df-ff076306f829","resolution":{"observed_at":"2026-05-11T08:50:57.651111Z","resolver_source":"arxiv_id","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"}},{"citation":{"cited_paper":{"arxiv_id":"2412.07112","last_updated":"2024-12-10T01:57:17Z","snapshot_observed_at":"2026-07-06T20:04:20.826875Z","submitted_at":"2024-12-10T01:57:17Z","title":"Maya: An Instruction Finetuned Multilingual Multimodal Model","version":1},"cited_work":{"arxiv_id":"2412.07112","doi":"10.48550/arxiv.2412.07112","metadata_source":"arxiv_reference","pith_arxiv_id":"2412.07112","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2412.07112 , year =","venue":"arXiv (Cornell University)","work_id":"d94e98e1-943a-4ba3-a3d9-cab6f21756ea","year":2024},"citing_paper":{"arxiv_id":"2605.17152","last_updated":"2026-05-16T20:56:15Z","snapshot_observed_at":"2026-08-02T18:07:50.795904Z","submitted_at":"2026-05-16T20:56:15Z","title":"Multilingual and Multimodal LLMs in the Wild: Building for Low-Resource Languages","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-05-20T14:33:36.100966Z"},"links":{"cited_paper":"/paper/2412.07112","citing_paper":"/paper/2605.17152"},"observation_digest":"sha256:ff506398ad8869cbaa6f6ce38a26cc4301e9d53afa765c45426e272b8d969c8d","observation_id":"c4fe23fe-4194-4199-b62b-ae5d02efa782","resolution":{"observed_at":"2026-05-20T14:38:21.880681Z","resolver_source":"arxiv_id","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"}},{"citation":{"cited_paper":{"arxiv_id":"2412.07112","last_updated":"2024-12-10T01:57:17Z","snapshot_observed_at":"2026-07-06T20:04:20.826875Z","submitted_at":"2024-12-10T01:57:17Z","title":"Maya: An Instruction Finetuned Multilingual Multimodal Model","version":1},"cited_work":{"arxiv_id":"2412.07112","doi":"10.48550/arxiv.2412.07112","metadata_source":"arxiv_reference","pith_arxiv_id":"2412.07112","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2412.07112 , year =","venue":"arXiv (Cornell University)","work_id":"d94e98e1-943a-4ba3-a3d9-cab6f21756ea","year":2024},"citing_paper":{"arxiv_id":"2606.03793","last_updated":"2026-06-02T15:42:10Z","snapshot_observed_at":"2026-08-05T09:22:21.521124Z","submitted_at":"2026-06-02T15:42:10Z","title":"Exploring Adversarial Robustness and Safety Alignment in Multilingual Multi-Modal Large Language Models","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-28T10:10:38.261635Z"},"links":{"cited_paper":"/paper/2412.07112","citing_paper":"/paper/2606.03793"},"observation_digest":"sha256:1c1077b9e5f8a4e0b971f0fc98896df664f1cf2282ad2fa35db70a013a67787e","observation_id":"39ee3713-aa04-4a11-9b17-671ceaf8962f","resolution":{"observed_at":"2026-07-02T03:16:34.704821Z","resolver_source":"arxiv_id","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/2412.07112/citation-record","integrity":"/paper/2412.07112/integrity","json":"/paper/2412.07112/citation-record.json","paper":"/paper/2412.07112"},"outbound":[],"paper":{"arxiv_id":"2412.07112","last_updated":"2024-12-10T01:57:17Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T20:04:20.826875Z","submitted_at":"2024-12-10T01:57:17Z","title":"Maya: An Instruction Finetuned Multilingual Multimodal Model"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2412.07112."}