{"as_of":"2026-08-13T10:45:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7c34f3abf6048a257678ba91fda959d75caeac0f9811bc66e5402c4f8a65cbb7","coverage":[{"denominator":53,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":53,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T20:53:58.470757Z","state":"measured"},{"denominator":54,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":54,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+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":"2026-05-23T16:36:02.895613Z","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":"2026-05-23T16:38:11.473010Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2412.05184","last_updated":"2024-12-06T17:04:21Z","snapshot_observed_at":"2026-08-12T02:20:57.780726Z","submitted_at":"2024-12-06T17:04:21Z","title":"QueEn: A Large Language Model for Quechua-English Translation","version":1},"cited_work":{"arxiv_id":"2412.05184","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2412.05184","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2412.05184 (2024) 32","venue":null,"work_id":"0ee25e54-50c1-49ac-990a-ba18039f662c","year":2024},"citing_paper":{"arxiv_id":"2412.04497","last_updated":"2026-04-17T14:43:11Z","snapshot_observed_at":"2026-08-03T01:36:22.644152Z","submitted_at":"2024-11-30T00:10:56Z","title":"Opportunities and Challenges of Large Language Models for Low-Resource Languages in Humanities Research","version":5},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-23T16:36:02.895613Z"},"links":{"cited_paper":"/paper/2412.05184","citing_paper":"/paper/2412.04497"},"observation_digest":"sha256:54264cd81bf820a2e6417f6b1f4e68dac333474c6b53b6677b8f72015b74ecb9","observation_id":"ba8b7d3b-8d93-475f-9a3d-c6268588e520","resolution":{"observed_at":"2026-05-23T16:38:11.475553Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2412.05184/citation-record","integrity":"/paper/2412.05184/integrity","json":"/paper/2412.05184/citation-record.json","paper":"/paper/2412.05184"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2411.17837","last_updated":"2024-11-26T19:26:06Z","snapshot_observed_at":"2026-08-12T19:07:56.866298Z","submitted_at":"2024-11-26T19:26:06Z","title":"OracleSage: Towards Unified Visual-Linguistic Understanding of Oracle Bone Scripts through Cross-Modal Knowledge Fusion","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.17837","snapshot_observed_at":"2026-08-11T20:53:58.220826Z","title":"OracleSage: Towards Unified Visual-Linguistic Understanding of Oracle Bone Scripts through Cross-Modal Knowledge Fusion","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.05184","last_updated":"2024-12-06T17:04:21Z","snapshot_observed_at":"2026-08-12T02:20:57.780726Z","submitted_at":"2024-12-06T17:04:21Z","title":"QueEn: A Large Language Model for Quechua-English Translation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-11T20:53:58.220826Z"},"links":{"cited_paper":"/paper/2411.17837","citing_paper":"/paper/2412.05184"},"observation_digest":"sha256:44fddaf11bc7a578c299d8abb5a855aa5f23f010e47a5df39ac090a28d38d9ab","observation_id":"02e64f7c-a325-4c8b-8b0c-ff3ac6c13ab1","resolution":{"observed_at":"2026-08-11T20:53:58.220826Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.14461","last_updated":"2024-11-16T18:19:53Z","snapshot_observed_at":"2026-08-12T19:11:21.611083Z","submitted_at":"2024-11-16T18:19:53Z","title":"Towards Next-Generation Medical Agent: How o1 is Reshaping Decision-Making in Medical Scenarios","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.14461","snapshot_observed_at":"2026-08-11T20:53:58.227047Z","title":"Towards Next-Generation Medical Agent: How o1 is Reshaping Decision-Making in Medical Scenarios","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.05184","last_updated":"2024-12-06T17:04:21Z","snapshot_observed_at":"2026-08-12T02:20:57.780726Z","submitted_at":"2024-12-06T17:04:21Z","title":"QueEn: A Large Language Model for Quechua-English Translation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-11T20:53:58.227047Z"},"links":{"cited_paper":"/paper/2411.14461","citing_paper":"/paper/2412.05184"},"observation_digest":"sha256:64b094ba6f5cd6d67bdb10d9cb4a570c980411164ea592d033ac09504b6d5082","observation_id":"6fd5dd08-525f-4176-939b-d1ee3ac833a1","resolution":{"observed_at":"2026-08-11T20:53:58.227047Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.11295","last_updated":"2024-11-18T05:41:27Z","snapshot_observed_at":"2026-08-12T18:39:05.848481Z","submitted_at":"2024-11-18T05:41:27Z","title":"Transcending Language Boundaries: Harnessing LLMs for Low-Resource Language Translation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.11295","snapshot_observed_at":"2026-08-11T20:53:58.232323Z","title":"Transcending Language Boundaries: Harnessing LLMs for Low- Resource Language Translation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.05184","last_updated":"2024-12-06T17:04:21Z","snapshot_observed_at":"2026-08-12T02:20:57.780726Z","submitted_at":"2024-12-06T17:04:21Z","title":"QueEn: A Large Language Model for Quechua-English Translation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-11T20:53:58.232323Z"},"links":{"cited_paper":"/paper/2411.11295","citing_paper":"/paper/2412.05184"},"observation_digest":"sha256:4c1ef46b68103e13492530f5b088c9649e2e0a231fd518cb57aa38ffdcec8554","observation_id":"be2153d2-f972-4560-9d14-37b150a7e3e7","resolution":{"observed_at":"2026-08-11T20:53:58.232323Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.10137","last_updated":"2024-11-15T12:23:12Z","snapshot_observed_at":"2026-08-12T19:53:34.644259Z","submitted_at":"2024-11-15T12:23:12Z","title":"Legal Evalutions and Challenges of Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.10137","snapshot_observed_at":"2026-08-11T20:53:58.237764Z","title":"Legal Evalutions and Challenges of Large Language Models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.05184","last_updated":"2024-12-06T17:04:21Z","snapshot_observed_at":"2026-08-12T02:20:57.780726Z","submitted_at":"2024-12-06T17:04:21Z","title":"QueEn: A Large Language Model for Quechua-English Translation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-11T20:53:58.237764Z"},"links":{"cited_paper":"/paper/2411.10137","citing_paper":"/paper/2412.05184"},"observation_digest":"sha256:09af9b3d1fd2e9f3c8723f821c78895d67e524de7e3ca1a9aa7494e0b0987b99","observation_id":"a5137429-54da-4c60-b337-21fbc35aefec","resolution":{"observed_at":"2026-08-11T20:53:58.237764Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.23413","last_updated":"2025-01-29T03:39:50Z","snapshot_observed_at":"2026-08-12T22:11:25.783402Z","submitted_at":"2024-10-30T19:32:02Z","title":"EchoFM: Foundation Model for Generalizable Echocardiogram Analysis","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.23413","snapshot_observed_at":"2026-08-11T20:53:58.242974Z","title":"EchoFM: Foundation Model for Generalizable Echocardiogram Analysis","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.05184","last_updated":"2024-12-06T17:04:21Z","snapshot_observed_at":"2026-08-12T02:20:57.780726Z","submitted_at":"2024-12-06T17:04:21Z","title":"QueEn: A Large Language Model for Quechua-English Translation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-11T20:53:58.242974Z"},"links":{"cited_paper":"/paper/2410.23413","citing_paper":"/paper/2412.05184"},"observation_digest":"sha256:dccbd832da20a7c1a69d7624c53792087b4b5e1d3588b50d995408bf79dc8781","observation_id":"872023d7-d81e-4a7e-836f-8e4f10cbfa96","resolution":{"observed_at":"2026-08-11T20:53:58.242974Z","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":"2026-08-11T20:53:59.539282Z","title":"Robot Control via Natural Instructions Empowered by Large Language Model","venue":null,"work_id":"db88420e-1e88-49d8-ae37-3bb5f93aa0b0","year":2024},"citing_paper":{"arxiv_id":"2412.05184","last_updated":"2024-12-06T17:04:21Z","snapshot_observed_at":"2026-08-12T02:20:57.780726Z","submitted_at":"2024-12-06T17:04:21Z","title":"QueEn: A Large Language Model for Quechua-English Translation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-11T20:53:58.248279Z"},"links":{"citing_paper":"/paper/2412.05184"},"observation_digest":"sha256:a2e22aa9def970eadbbe24e9464bb88c333c4822e7ccc4face80fc9c87739b52","observation_id":"3d3c3554-68b6-48b6-980d-7d15041f1a37","resolution":{"observed_at":"2026-08-11T20:53:59.543456Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.19330","last_updated":"2024-09-28T12:31:07Z","snapshot_observed_at":"2026-08-12T22:35:31.713393Z","submitted_at":"2024-09-28T12:31:07Z","title":"3D-CT-GPT: Generating 3D Radiology Reports through Integration of Large Vision-Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.19330","snapshot_observed_at":"2026-08-11T20:53:58.253691Z","title":"3D-CT-GPT: Generating 3D Radiology Reports through Inte- gration of Large Vision-Language Models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.05184","last_updated":"2024-12-06T17:04:21Z","snapshot_observed_at":"2026-08-12T02:20:57.780726Z","submitted_at":"2024-12-06T17:04:21Z","title":"QueEn: A Large Language Model for Quechua-English Translation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-11T20:53:58.253691Z"},"links":{"cited_paper":"/paper/2409.19330","citing_paper":"/paper/2412.05184"},"observation_digest":"sha256:ccdf28bc4a0688b48532a0f01b10dbfc856645c95a83450bcaa91a304c03da51","observation_id":"d3f9e51a-88cc-41f3-94e7-55ce68a961d1","resolution":{"observed_at":"2026-08-11T20:53:58.253691Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.06116","last_updated":"2024-02-09T00:58:57Z","snapshot_observed_at":"2026-08-13T04:22:55.381338Z","submitted_at":"2024-02-09T00:58:57Z","title":"LLMs for Coding and Robotics Education","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.06116","snapshot_observed_at":"2026-08-11T20:53:58.258746Z","title":"LLMs for Coding and Robotics Education","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.05184","last_updated":"2024-12-06T17:04:21Z","snapshot_observed_at":"2026-08-12T02:20:57.780726Z","submitted_at":"2024-12-06T17:04:21Z","title":"QueEn: A Large Language Model for Quechua-English Translation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-11T20:53:58.258746Z"},"links":{"cited_paper":"/paper/2402.06116","citing_paper":"/paper/2412.05184"},"observation_digest":"sha256:c202e9d3ad6b1558cb914e687da962f1d503a9bd7dd9ac7f7a74d57e170efda9","observation_id":"10c82056-6912-45fa-9579-18990d040f1d","resolution":{"observed_at":"2026-08-11T20:53:58.258746Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.16937","last_updated":"2024-11-18T12:36:13Z","snapshot_observed_at":"2026-08-13T01:00:15.602253Z","submitted_at":"2024-06-17T09:39:34Z","title":"A Complete Survey on LLM-based AI Chatbots","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.16937","snapshot_observed_at":"2026-08-11T20:53:58.263920Z","title":"A complete survey on llm-based ai chatbots","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.05184","last_updated":"2024-12-06T17:04:21Z","snapshot_observed_at":"2026-08-12T02:20:57.780726Z","submitted_at":"2024-12-06T17:04:21Z","title":"QueEn: A Large Language Model for Quechua-English Translation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-11T20:53:58.263920Z"},"links":{"cited_paper":"/paper/2406.16937","citing_paper":"/paper/2412.05184"},"observation_digest":"sha256:a742cd06043d1bffb904e3ed584fdd52a5c637c29fc2599e061be36618eb2e21","observation_id":"4b753ede-6c5d-4ba1-882d-60f775f01e30","resolution":{"observed_at":"2026-08-11T20:53:58.263920Z","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":"2026-08-11T20:53:58.268753Z","title":"Improving image captioning descriptiveness by ranking and llm-based fusion","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.05184","last_updated":"2024-12-06T17:04:21Z","snapshot_observed_at":"2026-08-12T02:20:57.780726Z","submitted_at":"2024-12-06T17:04:21Z","title":"QueEn: A Large Language Model for Quechua-English Translation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-11T20:53:58.268753Z"},"links":{"citing_paper":"/paper/2412.05184"},"observation_digest":"sha256:cf28606a9e8ef2b0fefa0eac1a68791145907f2a3519ac7c1bc03af97a38c5ca","observation_id":"dd1e4da8-7f80-4eaa-8e10-9e235fbe663c","resolution":{"observed_at":"2026-08-11T20:53:58.268753Z","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":"2026-08-11T20:53:59.525030Z","title":"From images to textual prompts: Zero-shot visual question answering with frozen large language models","venue":null,"work_id":"e27204ee-98b9-44c5-8a52-d6beb87ce0bb","year":2023},"citing_paper":{"arxiv_id":"2412.05184","last_updated":"2024-12-06T17:04:21Z","snapshot_observed_at":"2026-08-12T02:20:57.780726Z","submitted_at":"2024-12-06T17:04:21Z","title":"QueEn: A Large Language Model for Quechua-English Translation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-11T20:53:58.272893Z"},"links":{"citing_paper":"/paper/2412.05184"},"observation_digest":"sha256:50e20ab1476c28b8b6b01d1983fe290600c11361cb994cd4fda339d96d19108d","observation_id":"2b46f92e-af80-4735-99b7-dec61e5b6085","resolution":{"observed_at":"2026-08-11T20:53:59.529834Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.09674","last_updated":"2024-10-29T18:17:48Z","snapshot_observed_at":"2026-08-12T22:24:37.159019Z","submitted_at":"2024-10-12T23:54:44Z","title":"EG-SpikeFormer: Eye-Gaze Guided Transformer on Spiking Neural Networks for Medical Image Analysis","version":2},"cited_work":{"arxiv_id":"2410.09674","doi":null,"metadata_source":"pith","pith_arxiv_id":"2410.09674","snapshot_observed_at":"2026-08-11T20:53:58.744157Z","title":"EG-SpikeFormer: Eye-Gaze Guided Transformer on Spiking Neural Networks for Medical Image Analysis","venue":"eess.IV","work_id":"4fb1e69a-98fd-48a6-9ef3-706fe48c5122","year":2024},"citing_paper":{"arxiv_id":"2412.05184","last_updated":"2024-12-06T17:04:21Z","snapshot_observed_at":"2026-08-12T02:20:57.780726Z","submitted_at":"2024-12-06T17:04:21Z","title":"QueEn: A Large Language Model for Quechua-English Translation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-11T20:53:58.277201Z"},"links":{"cited_paper":"/paper/2410.09674","citing_paper":"/paper/2412.05184"},"observation_digest":"sha256:261af65f25493c03f1b20c9b386b7ef0c572e0ba233b1ee31a0bef3180a8dbd2","observation_id":"cabb38aa-b404-4b56-aa7e-6567c5eefd6c","resolution":{"observed_at":"2026-08-11T20:53:58.749919Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.02237","last_updated":"2024-08-05T05:09:23Z","snapshot_observed_at":"2026-08-12T23:08:42.971069Z","submitted_at":"2024-08-05T05:09:23Z","title":"Do Large Language Models Speak All Languages Equally? A Comparative Study in Low-Resource Settings","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.02237","snapshot_observed_at":"2026-08-11T20:53:58.281556Z","title":"Do large language models speak all languages equally? a comparative study in low-resource settings","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.05184","last_updated":"2024-12-06T17:04:21Z","snapshot_observed_at":"2026-08-12T02:20:57.780726Z","submitted_at":"2024-12-06T17:04:21Z","title":"QueEn: A Large Language Model for Quechua-English Translation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-11T20:53:58.281556Z"},"links":{"cited_paper":"/paper/2408.02237","citing_paper":"/paper/2412.05184"},"observation_digest":"sha256:9c0eaa0dd7f45195b45bfb48051aa08e2a84050afb5a0c6ae69c107f047068f2","observation_id":"3c3b56a9-d513-4244-b461-60566adcb25d","resolution":{"observed_at":"2026-08-11T20:53:58.281556Z","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":"2026-08-11T20:53:59.509191Z","title":"adaptmllm: Fine-tuning multilingual language models on low-resource languages with integrated llm playgrounds","venue":null,"work_id":"4f209bdb-402f-457e-916e-f9e2c128d4f4","year":2023},"citing_paper":{"arxiv_id":"2412.05184","last_updated":"2024-12-06T17:04:21Z","snapshot_observed_at":"2026-08-12T02:20:57.780726Z","submitted_at":"2024-12-06T17:04:21Z","title":"QueEn: A Large Language Model for Quechua-English Translation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-11T20:53:58.285922Z"},"links":{"citing_paper":"/paper/2412.05184"},"observation_digest":"sha256:aed797e5464e9d7e8466f724d300128525e4fe8eb52e8c7a2a069051db2d8d23","observation_id":"d763d535-0726-4858-95ca-f938bf75d7c0","resolution":{"observed_at":"2026-08-11T20:53:59.514507Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.16512","last_updated":"2024-06-25T11:54:23Z","snapshot_observed_at":"2026-08-13T00:45:56.525839Z","submitted_at":"2024-03-25T07:55:29Z","title":"LLMs Are Few-Shot In-Context Low-Resource Language Learners","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.16512","snapshot_observed_at":"2026-08-11T20:53:58.290061Z","title":"LLMs Are Few-Shot In-Context Low-Resource Lan- guage Learners","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.05184","last_updated":"2024-12-06T17:04:21Z","snapshot_observed_at":"2026-08-12T02:20:57.780726Z","submitted_at":"2024-12-06T17:04:21Z","title":"QueEn: A Large Language Model for Quechua-English Translation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-11T20:53:58.290061Z"},"links":{"cited_paper":"/paper/2403.16512","citing_paper":"/paper/2412.05184"},"observation_digest":"sha256:5c23a63383e0c8c138c9185ef6f16fe6296469281423b2779921475e16803641","observation_id":"6bb08bc5-79a6-4fbd-ac0b-eb7641fb20cf","resolution":{"observed_at":"2026-08-11T20:53:58.290061Z","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":"2026-08-11T20:53:59.492241Z","title":"Endangered Languages","venue":null,"work_id":"40d28b73-dccd-4260-9590-bcfb2e70d5a1","year":2022},"citing_paper":{"arxiv_id":"2412.05184","last_updated":"2024-12-06T17:04:21Z","snapshot_observed_at":"2026-08-12T02:20:57.780726Z","submitted_at":"2024-12-06T17:04:21Z","title":"QueEn: A Large Language Model for Quechua-English Translation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-11T20:53:58.294571Z"},"links":{"citing_paper":"/paper/2412.05184"},"observation_digest":"sha256:70fb48117c2afece14ae2e12c56dd1daf499e6490ee6fadb44ff20998b472e9b","observation_id":"4d5004d9-3e80-4e89-b843-af6072e06a80","resolution":{"observed_at":"2026-08-11T20:53:59.497608Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T20:53:59.476906Z","title":"Rule-based machine translation","venue":null,"work_id":"243533b2-16c2-4e74-b8b2-1425e8dad421","year":2014},"citing_paper":{"arxiv_id":"2412.05184","last_updated":"2024-12-06T17:04:21Z","snapshot_observed_at":"2026-08-12T02:20:57.780726Z","submitted_at":"2024-12-06T17:04:21Z","title":"QueEn: A Large Language Model for Quechua-English Translation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-11T20:53:58.299199Z"},"links":{"citing_paper":"/paper/2412.05184"},"observation_digest":"sha256:24233e6159017727a43d8a653efa46fd6faee9915650121a3339977f5e7ade5a","observation_id":"0db0b9a9-74b8-48ad-b919-a8c698d11eca","resolution":{"observed_at":"2026-08-11T20:53:59.481678Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T20:53:59.461317Z","title":"The Georgetown-IBM experiment demonstrated in January 1954","venue":null,"work_id":"b0cdd5e1-78a6-49f6-870b-c0efd7218b18","year":1954},"citing_paper":{"arxiv_id":"2412.05184","last_updated":"2024-12-06T17:04:21Z","snapshot_observed_at":"2026-08-12T02:20:57.780726Z","submitted_at":"2024-12-06T17:04:21Z","title":"QueEn: A Large Language Model for Quechua-English Translation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-11T20:53:58.303852Z"},"links":{"citing_paper":"/paper/2412.05184"},"observation_digest":"sha256:be29953601ea60f09d08fb0abc607dee952ba4c89deeecb2b37feb29b0cc7cc9","observation_id":"c4ab71c5-7052-4a2f-8d12-cce58bc275bd","resolution":{"observed_at":"2026-08-11T20:53:59.466108Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T20:53:59.445840Z","title":"A framework for interactive and automatic refinement of transfer-based machine translation","venue":null,"work_id":"4c592005-9877-4890-9bbe-5e56eefd9ee6","year":2005},"citing_paper":{"arxiv_id":"2412.05184","last_updated":"2024-12-06T17:04:21Z","snapshot_observed_at":"2026-08-12T02:20:57.780726Z","submitted_at":"2024-12-06T17:04:21Z","title":"QueEn: A Large Language Model for Quechua-English Translation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-11T20:53:58.308618Z"},"links":{"citing_paper":"/paper/2412.05184"},"observation_digest":"sha256:03a3126c843371d03ca8caf0340915a1591a974104aab2f01579dc6186719187","observation_id":"1be51593-9d0f-46e7-9500-881fcccf6ef8","resolution":{"observed_at":"2026-08-11T20:53:59.450870Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T20:53:59.430588Z","title":"Interlingual machine translation","venue":null,"work_id":"8e37629f-82a8-471b-b554-6ff7d66561f7","year":1958},"citing_paper":{"arxiv_id":"2412.05184","last_updated":"2024-12-06T17:04:21Z","snapshot_observed_at":"2026-08-12T02:20:57.780726Z","submitted_at":"2024-12-06T17:04:21Z","title":"QueEn: A Large Language Model for Quechua-English Translation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-11T20:53:58.313404Z"},"links":{"citing_paper":"/paper/2412.05184"},"observation_digest":"sha256:cc21da6683af4686cb998c0d38308f5f07ba34637a56e61c80c0c20ca53ae06d","observation_id":"a354c6ca-4211-4eb6-bf36-6254020e5aaa","resolution":{"observed_at":"2026-08-11T20:53:59.435407Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T20:53:59.415446Z","title":"Statistical machine translation","venue":null,"work_id":"c5dd7ffc-db2a-4597-a329-b476bf359395","year":2008},"citing_paper":{"arxiv_id":"2412.05184","last_updated":"2024-12-06T17:04:21Z","snapshot_observed_at":"2026-08-12T02:20:57.780726Z","submitted_at":"2024-12-06T17:04:21Z","title":"QueEn: A Large Language Model for Quechua-English Translation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-11T20:53:58.318113Z"},"links":{"citing_paper":"/paper/2412.05184"},"observation_digest":"sha256:1c3821c63f9708a0c811180a4221bbacd263fac4a2f0923af31e8914be5ebdcb","observation_id":"9901b3ea-0853-42a2-af70-df21a855ce44","resolution":{"observed_at":"2026-08-11T20:53:59.420288Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T20:53:59.400107Z","title":"The mathematics of statistical machine translation: Parameter estimation","venue":null,"work_id":"92d331c5-cc14-4aa2-9986-77c5d197adf3","year":1993},"citing_paper":{"arxiv_id":"2412.05184","last_updated":"2024-12-06T17:04:21Z","snapshot_observed_at":"2026-08-12T02:20:57.780726Z","submitted_at":"2024-12-06T17:04:21Z","title":"QueEn: A Large Language Model for Quechua-English Translation","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-11T20:53:58.322760Z"},"links":{"citing_paper":"/paper/2412.05184"},"observation_digest":"sha256:f28f91b8deba1ead4a489de65d15282f9d9a82f303985609899f48a8e5abfcf8","observation_id":"c65540ea-b533-464d-86f7-4c313acdc0f2","resolution":{"observed_at":"2026-08-11T20:53:59.405009Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T20:53:59.384549Z","title":"Statistical machine translation: IBM models 1 and 2","venue":null,"work_id":"c8199cf6-7eca-441a-8bc3-10895758102c","year":2011},"citing_paper":{"arxiv_id":"2412.05184","last_updated":"2024-12-06T17:04:21Z","snapshot_observed_at":"2026-08-12T02:20:57.780726Z","submitted_at":"2024-12-06T17:04:21Z","title":"QueEn: A Large Language Model for Quechua-English Translation","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-11T20:53:58.327518Z"},"links":{"citing_paper":"/paper/2412.05184"},"observation_digest":"sha256:f6b03e315f9794fe92098cf5367afc4db3bd6742f987e15de8c7da4dd5021fa2","observation_id":"24380ee7-9b50-4ebb-bf18-84dca844f16d","resolution":{"observed_at":"2026-08-11T20:53:59.389667Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T20:53:59.368442Z","title":"Introducing a translation dictionary into phrase-based SMT","venue":null,"work_id":"657be023-b366-4374-8fc6-c63796c33716","year":2008},"citing_paper":{"arxiv_id":"2412.05184","last_updated":"2024-12-06T17:04:21Z","snapshot_observed_at":"2026-08-12T02:20:57.780726Z","submitted_at":"2024-12-06T17:04:21Z","title":"QueEn: A Large Language Model for Quechua-English Translation","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-11T20:53:58.332691Z"},"links":{"citing_paper":"/paper/2412.05184"},"observation_digest":"sha256:b1a28af6ce170f3a4a84ec0faa4f4a8568133a58695cab7b9f1a315391cb726b","observation_id":"5cf38ae3-c4b9-422e-987c-fa22edc94b76","resolution":{"observed_at":"2026-08-11T20:53:59.374082Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T20:53:59.353067Z","title":"A hierarchical phrase-based model for statistical machine translation","venue":null,"work_id":"341cca94-9c9b-4ae2-b112-37acaafa0c98","year":2005},"citing_paper":{"arxiv_id":"2412.05184","last_updated":"2024-12-06T17:04:21Z","snapshot_observed_at":"2026-08-12T02:20:57.780726Z","submitted_at":"2024-12-06T17:04:21Z","title":"QueEn: A Large Language Model for Quechua-English Translation","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-11T20:53:58.337206Z"},"links":{"citing_paper":"/paper/2412.05184"},"observation_digest":"sha256:a6d02019534e7439202de7b8ea03c0e35b0656eed66fe04962a40042d885c7e8","observation_id":"039daa32-093e-4f3a-aa91-b1a61a96aa93","resolution":{"observed_at":"2026-08-11T20:53:59.357928Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T20:53:59.337556Z","title":"Neural machine translation: A review","venue":null,"work_id":"fc3ac3e2-d651-46dd-870b-1a5eade25744","year":2020},"citing_paper":{"arxiv_id":"2412.05184","last_updated":"2024-12-06T17:04:21Z","snapshot_observed_at":"2026-08-12T02:20:57.780726Z","submitted_at":"2024-12-06T17:04:21Z","title":"QueEn: A Large Language Model for Quechua-English Translation","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-11T20:53:58.341757Z"},"links":{"citing_paper":"/paper/2412.05184"},"observation_digest":"sha256:85f1f386fbda1e77794a280d9b13e37753d80397e1bd79e9a5d09bdbbf888a0c","observation_id":"70abdfe7-2304-4eba-bec7-c149314db5e6","resolution":{"observed_at":"2026-08-11T20:53:59.342472Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T20:53:59.323163Z","title":"A context-aware recurrent encoder for neural machine translation","venue":null,"work_id":"ecb1ce44-6b41-4b04-8150-279dc07b34cf","year":2017},"citing_paper":{"arxiv_id":"2412.05184","last_updated":"2024-12-06T17:04:21Z","snapshot_observed_at":"2026-08-12T02:20:57.780726Z","submitted_at":"2024-12-06T17:04:21Z","title":"QueEn: A Large Language Model for Quechua-English Translation","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-11T20:53:58.346519Z"},"links":{"citing_paper":"/paper/2412.05184"},"observation_digest":"sha256:dead7d550c4b043237dc04300a345d24982ddf5040eaa467c2c57570d7a68104","observation_id":"841716ab-0d93-407b-bfb7-98143a24d579","resolution":{"observed_at":"2026-08-11T20:53:59.327355Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1409.0473","last_updated":"2016-05-19T21:53:22Z","snapshot_observed_at":"2026-08-12T12:07:33.202888Z","submitted_at":"2014-09-01T16:33:02Z","title":"Neural Machine Translation by Jointly Learning to Align and Translate","version":7},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1409.0473","snapshot_observed_at":"2026-08-11T20:53:58.351421Z","title":"Neural machine translation by jointly learning to align and translate","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2412.05184","last_updated":"2024-12-06T17:04:21Z","snapshot_observed_at":"2026-08-12T02:20:57.780726Z","submitted_at":"2024-12-06T17:04:21Z","title":"QueEn: A Large Language Model for Quechua-English Translation","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-11T20:53:58.351421Z"},"links":{"cited_paper":"/paper/1409.0473","citing_paper":"/paper/2412.05184"},"observation_digest":"sha256:fafe0746228e4b76e5da3794534b32ca4dc206b6687c7c6d9d797c85a51a41be","observation_id":"c7084872-7db2-4b6c-8a0d-68b9f43394e8","resolution":{"observed_at":"2026-08-11T20:53:58.351421Z","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":"2026-08-11T20:53:59.309304Z","title":"Attention is all you need","venue":null,"work_id":"d6ee4471-85c3-4588-af61-efea77b55ccc","year":2017},"citing_paper":{"arxiv_id":"2412.05184","last_updated":"2024-12-06T17:04:21Z","snapshot_observed_at":"2026-08-12T02:20:57.780726Z","submitted_at":"2024-12-06T17:04:21Z","title":"QueEn: A Large Language Model for Quechua-English Translation","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-11T20:53:58.356358Z"},"links":{"citing_paper":"/paper/2412.05184"},"observation_digest":"sha256:62d703794256197fce110d34c5c8961648ac05e74a641e8b6b8e353d026b83a4","observation_id":"664b774e-9338-4757-ba9e-cbfefc3eda87","resolution":{"observed_at":"2026-08-11T20:53:59.313776Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1701.02810","last_updated":"2017-03-06T15:54:27Z","snapshot_observed_at":"2026-08-07T04:25:02.147651Z","submitted_at":"2017-01-10T23:32:43Z","title":"OpenNMT: Open-Source Toolkit for Neural Machine Translation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1701.02810","snapshot_observed_at":"2026-08-11T20:53:58.361276Z","title":"Opennmt: Open-source toolkit for neural machine translation","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.05184","last_updated":"2024-12-06T17:04:21Z","snapshot_observed_at":"2026-08-12T02:20:57.780726Z","submitted_at":"2024-12-06T17:04:21Z","title":"QueEn: A Large Language Model for Quechua-English Translation","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-11T20:53:58.361276Z"},"links":{"cited_paper":"/paper/1701.02810","citing_paper":"/paper/2412.05184"},"observation_digest":"sha256:227e750b2a6644d6650c1bf9b7676c73a5201d9151044ce3fc6f06ca17727346","observation_id":"bae83700-8efc-4303-b16a-30374197f477","resolution":{"observed_at":"2026-08-11T20:53:58.361276Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1804.00344","last_updated":"2018-04-04T15:34:17Z","snapshot_observed_at":"2026-08-09T01:50:14.827906Z","submitted_at":"2018-04-01T20:50:57Z","title":"Marian: Fast Neural Machine Translation in C++","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1804.00344","snapshot_observed_at":"2026-08-11T20:53:58.366476Z","title":"Marian: Fast neural machine transla- tion in C++","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2412.05184","last_updated":"2024-12-06T17:04:21Z","snapshot_observed_at":"2026-08-12T02:20:57.780726Z","submitted_at":"2024-12-06T17:04:21Z","title":"QueEn: A Large Language Model for Quechua-English Translation","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-11T20:53:58.366476Z"},"links":{"cited_paper":"/paper/1804.00344","citing_paper":"/paper/2412.05184"},"observation_digest":"sha256:be87e0eb817218f37204d5e4d7c1295a2be6fa550f5af94959605a69d2dee36d","observation_id":"7b7746fd-94ad-4ab7-9154-ae3998750534","resolution":{"observed_at":"2026-08-11T20:53:58.366476Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1609.08144","last_updated":"2016-10-08T19:10:41Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2016-09-26T19:59:55Z","title":"Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1609.08144","snapshot_observed_at":"2026-08-11T20:53:58.371361Z","title":"Google’s neural machine translation system: Bridging the gap between human and machine translation","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2412.05184","last_updated":"2024-12-06T17:04:21Z","snapshot_observed_at":"2026-08-12T02:20:57.780726Z","submitted_at":"2024-12-06T17:04:21Z","title":"QueEn: A Large Language Model for Quechua-English Translation","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-11T20:53:58.371361Z"},"links":{"cited_paper":"/paper/1609.08144","citing_paper":"/paper/2412.05184"},"observation_digest":"sha256:eaa7cc88d00541072f6e13576c8a05df0ef5020f5073b30594c61817355e7509","observation_id":"980fbdfe-2c4c-46bf-8835-8a8f85a22ce4","resolution":{"observed_at":"2026-08-11T20:53:58.371361Z","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":"2026-08-11T20:53:59.294550Z","title":"Quechua language shift, maintenance, and revitaliza- tion in the Andes: The case for language planning","venue":null,"work_id":"348d0d7a-d7c3-47fb-becc-abbbe5855760","year":2004},"citing_paper":{"arxiv_id":"2412.05184","last_updated":"2024-12-06T17:04:21Z","snapshot_observed_at":"2026-08-12T02:20:57.780726Z","submitted_at":"2024-12-06T17:04:21Z","title":"QueEn: A Large Language Model for Quechua-English Translation","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-11T20:53:58.376672Z"},"links":{"citing_paper":"/paper/2412.05184"},"observation_digest":"sha256:e94285af55f3c95259d55a15f180653b774650de6f2fa18cab6ccf868315a3ef","observation_id":"1ae18758-887d-4fcc-8683-d75d2b40c536","resolution":{"observed_at":"2026-08-11T20:53:59.299354Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T20:53:59.279035Z","title":"Reversing quechua language shift in South America","venue":null,"work_id":"d1c92609-28fe-45c1-bf84-65761b918e07","year":2001},"citing_paper":{"arxiv_id":"2412.05184","last_updated":"2024-12-06T17:04:21Z","snapshot_observed_at":"2026-08-12T02:20:57.780726Z","submitted_at":"2024-12-06T17:04:21Z","title":"QueEn: A Large Language Model for Quechua-English Translation","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-11T20:53:58.381405Z"},"links":{"citing_paper":"/paper/2412.05184"},"observation_digest":"sha256:0ffde64a0fc31eb856160761f9ef4cc576e4d12bd4389e79dbbfad26e3d7abed","observation_id":"6dacd2f0-9e54-4fcd-8cca-433b78f124b8","resolution":{"observed_at":"2026-08-11T20:53:59.284269Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T20:53:59.261997Z","title":"Morphology in Quechuan languages","venue":null,"work_id":"986ba2de-146e-49f1-8640-7f18922fd6e5","year":2020},"citing_paper":{"arxiv_id":"2412.05184","last_updated":"2024-12-06T17:04:21Z","snapshot_observed_at":"2026-08-12T02:20:57.780726Z","submitted_at":"2024-12-06T17:04:21Z","title":"QueEn: A Large Language Model for Quechua-English Translation","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-11T20:53:58.386234Z"},"links":{"citing_paper":"/paper/2412.05184"},"observation_digest":"sha256:2e7f4e2d738843209ec490126dd1276ab8e40e39d64b24ac1e656eb1b9a695ce","observation_id":"33d588c0-4ba2-4374-8c11-02e8db55d0b6","resolution":{"observed_at":"2026-08-11T20:53:59.267685Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T20:53:59.246476Z","title":"Semantics and pragmatics of evidentials in Cuzco Quechua","venue":null,"work_id":"a0281811-ac1b-42a5-9c63-b7292c000bbc","year":2002},"citing_paper":{"arxiv_id":"2412.05184","last_updated":"2024-12-06T17:04:21Z","snapshot_observed_at":"2026-08-12T02:20:57.780726Z","submitted_at":"2024-12-06T17:04:21Z","title":"QueEn: A Large Language Model for Quechua-English Translation","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-11T20:53:58.391282Z"},"links":{"citing_paper":"/paper/2412.05184"},"observation_digest":"sha256:abe7b2daf48a196eee326098f040eac83babced0e7bf3a4e39c6dcf59956bae9","observation_id":"dd62b169-de92-4a75-9f6c-660765fe8f0e","resolution":{"observed_at":"2026-08-11T20:53:59.251344Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2005.14165","last_updated":"2020-07-22T19:47:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2020-05-28T17:29:03Z","title":"Language Models are Few-Shot Learners","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2005.14165","snapshot_observed_at":"2026-08-11T20:53:58.396068Z","title":"Language models are few-shot learners","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2412.05184","last_updated":"2024-12-06T17:04:21Z","snapshot_observed_at":"2026-08-12T02:20:57.780726Z","submitted_at":"2024-12-06T17:04:21Z","title":"QueEn: A Large Language Model for Quechua-English Translation","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-11T20:53:58.396068Z"},"links":{"cited_paper":"/paper/2005.14165","citing_paper":"/paper/2412.05184"},"observation_digest":"sha256:0fa5d5c38c9d91de43ec603b45b8c5b3f399d164ff4f535a07b62f91fdf01659","observation_id":"c5bbc129-66ca-40a4-a491-43969b55f586","resolution":{"observed_at":"2026-08-11T20:53:58.396068Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.08774","last_updated":"2024-03-04T06:01:33Z","snapshot_observed_at":"2026-08-07T07:30:12.213965Z","submitted_at":"2023-03-15T17:15:04Z","title":"GPT-4 Technical Report","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08774","snapshot_observed_at":"2026-08-11T20:53:58.401345Z","title":"Gpt-4 technical report","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.05184","last_updated":"2024-12-06T17:04:21Z","snapshot_observed_at":"2026-08-12T02:20:57.780726Z","submitted_at":"2024-12-06T17:04:21Z","title":"QueEn: A Large Language Model for Quechua-English Translation","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-11T20:53:58.401345Z"},"links":{"cited_paper":"/paper/2303.08774","citing_paper":"/paper/2412.05184"},"observation_digest":"sha256:1f5aa091432e7cd4019a71a95c4a63e677fccf9dc88a1089f782c7f34bed6b90","observation_id":"e370b873-d2b6-4c88-b9b1-a8a5cb98a13c","resolution":{"observed_at":"2026-08-11T20:53:58.401345Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.13971","last_updated":"2023-02-27T17:11:15Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-02-27T17:11:15Z","title":"LLaMA: Open and Efficient Foundation Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.13971","snapshot_observed_at":"2026-08-11T20:53:58.406210Z","title":"Llama: Open and efficient foundation language models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.05184","last_updated":"2024-12-06T17:04:21Z","snapshot_observed_at":"2026-08-12T02:20:57.780726Z","submitted_at":"2024-12-06T17:04:21Z","title":"QueEn: A Large Language Model for Quechua-English Translation","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-11T20:53:58.406210Z"},"links":{"cited_paper":"/paper/2302.13971","citing_paper":"/paper/2412.05184"},"observation_digest":"sha256:65682786bcc764f5a79b0f140a3ba14edac87a432c7f28f319f14b8ade7d1eca","observation_id":"3dca219a-e9ab-449e-88cd-9936c0d9d447","resolution":{"observed_at":"2026-08-11T20:53:58.406210Z","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":"2026-08-11T20:53:59.231192Z","title":"Retrieval-augmented generation for knowledge-intensive nlp tasks","venue":null,"work_id":"8e3f4468-03f6-4ac1-952c-a3788ce6eda3","year":2020},"citing_paper":{"arxiv_id":"2412.05184","last_updated":"2024-12-06T17:04:21Z","snapshot_observed_at":"2026-08-12T02:20:57.780726Z","submitted_at":"2024-12-06T17:04:21Z","title":"QueEn: A Large Language Model for Quechua-English Translation","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-11T20:53:58.411435Z"},"links":{"citing_paper":"/paper/2412.05184"},"observation_digest":"sha256:9a8844892c661d2e6cb264ac939e303c14123617a44751d01c120f1d0adee4eb","observation_id":"847ef699-d748-4199-b896-3b4e19c4ca8f","resolution":{"observed_at":"2026-08-11T20:53:59.236069Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T20:53:59.215258Z","title":"Review of large vision models and visual prompt engineering","venue":null,"work_id":"b5475ee1-33f9-42e3-b442-c4cd4eab4a0e","year":2023},"citing_paper":{"arxiv_id":"2412.05184","last_updated":"2024-12-06T17:04:21Z","snapshot_observed_at":"2026-08-12T02:20:57.780726Z","submitted_at":"2024-12-06T17:04:21Z","title":"QueEn: A Large Language Model for Quechua-English Translation","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-11T20:53:58.415549Z"},"links":{"citing_paper":"/paper/2412.05184"},"observation_digest":"sha256:93e3f2cb7a0e23b94229119b5f848ab3b70e517dc65cdc15a87e33b2454d2ca2","observation_id":"812a103f-e196-4de6-881c-c9ba89690eb8","resolution":{"observed_at":"2026-08-11T20:53:59.220246Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.17492","last_updated":"2024-01-12T14:18:03Z","snapshot_observed_at":"2026-08-13T05:14:40.455938Z","submitted_at":"2023-11-29T10:01:48Z","title":"Mergen: The First Manchu-Korean Machine Translation Model Trained on Augmented Data","version":2},"cited_work":{"arxiv_id":"2311.17492","doi":null,"metadata_source":"pith","pith_arxiv_id":"2311.17492","snapshot_observed_at":"2026-08-11T20:53:58.574222Z","title":"Mergen: The First Manchu-Korean Machine Translation Model Trained on Augmented Data","venue":"cs.CL","work_id":"f2ac27ed-bcbc-4504-bbe8-38806c27be29","year":2023},"citing_paper":{"arxiv_id":"2412.05184","last_updated":"2024-12-06T17:04:21Z","snapshot_observed_at":"2026-08-12T02:20:57.780726Z","submitted_at":"2024-12-06T17:04:21Z","title":"QueEn: A Large Language Model for Quechua-English Translation","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-11T20:53:58.419942Z"},"links":{"cited_paper":"/paper/2311.17492","citing_paper":"/paper/2412.05184"},"observation_digest":"sha256:1436e40303a757171aebef3dee2646514309c48278114ba4459596a5eff7c047","observation_id":"d9ff7d74-5e7f-451c-b6b1-e56956dd6efd","resolution":{"observed_at":"2026-08-11T20:53:58.581273Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T20:53:59.199753Z","title":"Neural machine translation with a polysynthetic low resource language","venue":null,"work_id":"c5fbff09-28f4-4a78-a813-e075b5daa9b6","year":2020},"citing_paper":{"arxiv_id":"2412.05184","last_updated":"2024-12-06T17:04:21Z","snapshot_observed_at":"2026-08-12T02:20:57.780726Z","submitted_at":"2024-12-06T17:04:21Z","title":"QueEn: A Large Language Model for Quechua-English Translation","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-11T20:53:58.424517Z"},"links":{"citing_paper":"/paper/2412.05184"},"observation_digest":"sha256:c4da914516cd7f5e74c928fa786323bd81f3ceba9d13cbf947c3776893dde74c","observation_id":"472c2007-9145-4d3e-8ba5-f0c23f329016","resolution":{"observed_at":"2026-08-11T20:53:59.204701Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1810.06546","last_updated":"2018-11-22T15:46:17Z","snapshot_observed_at":"2026-08-11T16:38:15.778842Z","submitted_at":"2018-10-15T17:54:36Z","title":"Poincar\\'e GloVe: Hyperbolic Word Embeddings","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1810.06546","snapshot_observed_at":"2026-08-11T20:53:58.428944Z","title":"Poincar \\’e glove: Hyperbolic word embeddings","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2412.05184","last_updated":"2024-12-06T17:04:21Z","snapshot_observed_at":"2026-08-12T02:20:57.780726Z","submitted_at":"2024-12-06T17:04:21Z","title":"QueEn: A Large Language Model for Quechua-English Translation","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-11T20:53:58.428944Z"},"links":{"cited_paper":"/paper/1810.06546","citing_paper":"/paper/2412.05184"},"observation_digest":"sha256:7cb11c1f26ff3fb10843bdf2f9f50b2aa2e60e432e992b34f4297b19f03ea6e6","observation_id":"fda94d52-6792-434c-ab8d-bef0d213d283","resolution":{"observed_at":"2026-08-11T20:53:58.428944Z","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":"2026-08-11T20:53:59.182381Z","title":"Bert: Pre-training of deep bidirectional transformers for language understanding","venue":null,"work_id":"0f35ebfd-011f-4896-9c00-2e39c22dc882","year":2019},"citing_paper":{"arxiv_id":"2412.05184","last_updated":"2024-12-06T17:04:21Z","snapshot_observed_at":"2026-08-12T02:20:57.780726Z","submitted_at":"2024-12-06T17:04:21Z","title":"QueEn: A Large Language Model for Quechua-English Translation","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-11T20:53:58.433402Z"},"links":{"citing_paper":"/paper/2412.05184"},"observation_digest":"sha256:f16bd85bc8bec267ae73e3bbeaa2364cb3beda0abcfdb3f734961188ab375704","observation_id":"b5e3b332-9693-4c99-8460-859aaa19e24f","resolution":{"observed_at":"2026-08-11T20:53:59.188141Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T20:53:59.165016Z","title":"Hire a linguist!: Learning endangered languages in LLMs with in-context linguistic descriptions","venue":null,"work_id":"bc45eee2-c173-4aea-9953-0249ae65efc3","year":2024},"citing_paper":{"arxiv_id":"2412.05184","last_updated":"2024-12-06T17:04:21Z","snapshot_observed_at":"2026-08-12T02:20:57.780726Z","submitted_at":"2024-12-06T17:04:21Z","title":"QueEn: A Large Language Model for Quechua-English Translation","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-11T20:53:58.437508Z"},"links":{"citing_paper":"/paper/2412.05184"},"observation_digest":"sha256:7cdc4ad789509d887a757f42480244402c4b16dc7cf105aa9da69c28403c3262","observation_id":"7ebc301d-2e67-4f33-8e23-9b4cd545a656","resolution":{"observed_at":"2026-08-11T20:53:59.170149Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.09782","last_updated":"2024-06-06T13:22:26Z","snapshot_observed_at":"2026-08-12T18:40:17.254666Z","submitted_at":"2023-06-16T11:37:15Z","title":"Full Parameter Fine-tuning for Large Language Models with Limited Resources","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.09782","snapshot_observed_at":"2026-08-11T20:53:58.442182Z","title":"Full parameter fine-tuning for large language models with limited resources","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.05184","last_updated":"2024-12-06T17:04:21Z","snapshot_observed_at":"2026-08-12T02:20:57.780726Z","submitted_at":"2024-12-06T17:04:21Z","title":"QueEn: A Large Language Model for Quechua-English Translation","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-11T20:53:58.442182Z"},"links":{"cited_paper":"/paper/2306.09782","citing_paper":"/paper/2412.05184"},"observation_digest":"sha256:2196c67ed8f4d3dfa87c2be4699d004487c325231181a6ba2ff5766664be178d","observation_id":"b22a7f12-2c99-4055-8f34-eb082f1a4a4d","resolution":{"observed_at":"2026-08-11T20:53:58.442182Z","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":"2026-08-11T20:53:59.147957Z","title":"Parameter-efficient fine-tuning of large-scale pre-trained language models","venue":null,"work_id":"d82527cc-da19-46ca-8fcf-531b4b2a0a33","year":2023},"citing_paper":{"arxiv_id":"2412.05184","last_updated":"2024-12-06T17:04:21Z","snapshot_observed_at":"2026-08-12T02:20:57.780726Z","submitted_at":"2024-12-06T17:04:21Z","title":"QueEn: A Large Language Model for Quechua-English Translation","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-11T20:53:58.446987Z"},"links":{"citing_paper":"/paper/2412.05184"},"observation_digest":"sha256:24dcd13335dce49895756e18ae528ad078fcdcabd108345df724657bd7782b98","observation_id":"a380a046-34cb-47a9-a597-40dbab3bf676","resolution":{"observed_at":"2026-08-11T20:53:59.153062Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2106.09685","last_updated":"2021-10-16T18:40:34Z","snapshot_observed_at":"2026-08-11T08:20:29.798517Z","submitted_at":"2021-06-17T17:37:18Z","title":"LoRA: Low-Rank Adaptation of Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.09685","snapshot_observed_at":"2026-08-11T20:53:58.451541Z","title":"Lora: Low-rank adaptation of large language models","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.05184","last_updated":"2024-12-06T17:04:21Z","snapshot_observed_at":"2026-08-12T02:20:57.780726Z","submitted_at":"2024-12-06T17:04:21Z","title":"QueEn: A Large Language Model for Quechua-English Translation","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-11T20:53:58.451541Z"},"links":{"cited_paper":"/paper/2106.09685","citing_paper":"/paper/2412.05184"},"observation_digest":"sha256:65b3f12a0cb6e33a38f618acd8b29d09af783ec20a834667df1b3b0b5ef2267e","observation_id":"3a637249-e776-4c3c-9a2c-507e40aba714","resolution":{"observed_at":"2026-08-11T20:53:58.451541Z","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":"2026-08-11T20:53:59.132055Z","title":"Siminchik: A Speech Corpus for the Quechua Language","venue":null,"work_id":"e6c7e48a-373e-4f77-8d96-3726f111c933","year":2018},"citing_paper":{"arxiv_id":"2412.05184","last_updated":"2024-12-06T17:04:21Z","snapshot_observed_at":"2026-08-12T02:20:57.780726Z","submitted_at":"2024-12-06T17:04:21Z","title":"QueEn: A Large Language Model for Quechua-English Translation","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-11T20:53:58.456597Z"},"links":{"citing_paper":"/paper/2412.05184"},"observation_digest":"sha256:843f554716c67bc60d91f11ee7a3344e2ff23c41ae23e7642c53044c9dd4e62b","observation_id":"5a9aaf04-5676-4e83-a76f-491e64b126d2","resolution":{"observed_at":"2026-08-11T20:53:59.137328Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T20:53:59.117161Z","title":"Recall-oriented understudy for gisting evaluation (rouge)","venue":null,"work_id":"a8ea21c2-1e3f-41a1-9efc-a1c03442e4d1","year":2005},"citing_paper":{"arxiv_id":"2412.05184","last_updated":"2024-12-06T17:04:21Z","snapshot_observed_at":"2026-08-12T02:20:57.780726Z","submitted_at":"2024-12-06T17:04:21Z","title":"QueEn: A Large Language Model for Quechua-English Translation","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-11T20:53:58.461265Z"},"links":{"citing_paper":"/paper/2412.05184"},"observation_digest":"sha256:676242c5cf915b8247ca6c61f2a4e1e6fc4453d54447c71fd026e4f8ed608c79","observation_id":"3976e2d7-f9b5-425c-9d2f-4c38a7364d55","resolution":{"observed_at":"2026-08-11T20:53:59.121651Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T20:53:59.100713Z","title":"Bleu: a method for automatic evaluation of machine translation","venue":null,"work_id":"788bc52c-db52-478a-8d58-54c437615b92","year":2002},"citing_paper":{"arxiv_id":"2412.05184","last_updated":"2024-12-06T17:04:21Z","snapshot_observed_at":"2026-08-12T02:20:57.780726Z","submitted_at":"2024-12-06T17:04:21Z","title":"QueEn: A Large Language Model for Quechua-English Translation","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-11T20:53:58.466079Z"},"links":{"citing_paper":"/paper/2412.05184"},"observation_digest":"sha256:2802081fc602614677591f58219adcba50ea8c35cbe90508cc66ac9654397fa0","observation_id":"9fce6500-a3b0-4aa5-972f-c506ecbfc365","resolution":{"observed_at":"2026-08-11T20:53:59.106287Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1904.09675","last_updated":"2020-02-24T18:59:28Z","snapshot_observed_at":"2026-07-29T15:42:51.774083Z","submitted_at":"2019-04-21T23:08:53Z","title":"BERTScore: Evaluating Text Generation with BERT","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1904.09675","snapshot_observed_at":"2026-08-11T20:53:58.470757Z","title":"Bertscore: Evaluating text generation with bert","venue":null,"work_id":null,"year":1904},"citing_paper":{"arxiv_id":"2412.05184","last_updated":"2024-12-06T17:04:21Z","snapshot_observed_at":"2026-08-12T02:20:57.780726Z","submitted_at":"2024-12-06T17:04:21Z","title":"QueEn: A Large Language Model for Quechua-English Translation","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-11T20:53:58.470757Z"},"links":{"cited_paper":"/paper/1904.09675","citing_paper":"/paper/2412.05184"},"observation_digest":"sha256:2967dc3a5c27b066690b7dfc8487e726a7930f5606d7e995a3a1cc2a603ee226","observation_id":"e0e32fc3-9b72-42de-a56d-86dd4319aafb","resolution":{"observed_at":"2026-08-11T20:53:58.470757Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2412.05184","last_updated":"2024-12-06T17:04:21Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-12T02:20:57.780726Z","submitted_at":"2024-12-06T17:04:21Z","title":"QueEn: A Large Language Model for Quechua-English Translation"},"reference_resolution":{"displayed":53,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":22,"verified_exact":2,"verified_fuzzy":29},"total_outbound_references":53},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 1 inbound Pith citation observation for arXiv:2412.05184."}