{"as_of":"2026-08-23T18:23:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:381cf198e9bcea3077c4f07b7993b875ac7a9612b348e1f7ee5212484589fb64","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":"2026-08-23T06:30:58.430688+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":"2026-08-16T11:32:05.932970Z","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":4,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2109.04650","last_updated":"2021-11-28T10:56:27Z","snapshot_observed_at":"2026-08-20T15:52:45.765234Z","submitted_at":"2021-09-10T03:32:19Z","title":"What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers","version":2},"cited_work":{"arxiv_id":"2109.04650","doi":"10.48550/arxiv.2109.04650","metadata_source":"arxiv_reference","pith_arxiv_id":"2109.04650","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"What changes can large- scale language models bring? intensive study on hyperclova: Billions-scale korean generative pretrained transformers","venue":"arXiv (Cornell University)","work_id":"9da8e007-d336-40fd-88f7-d4ee38e295e5","year":2021},"citing_paper":{"arxiv_id":"2110.08207","last_updated":"2022-03-17T17:53:01Z","snapshot_observed_at":"2026-08-14T04:21:28.978034Z","submitted_at":"2021-10-15T17:08:57Z","title":"Multitask Prompted Training Enables Zero-Shot Task Generalization","version":3},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-14T17:59:42.765380Z"},"links":{"cited_paper":"/paper/2109.04650","citing_paper":"/paper/2110.08207"},"observation_digest":"sha256:ff1ffd21ddfa9073b0e60c7c822ab118c44f8c2ba858f7efd81174cc0e621c8a","observation_id":"2da0d944-05bf-4da8-890f-6cc53f1659cc","resolution":{"observed_at":"2026-05-14T17:59:43.092393Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2109.04650","last_updated":"2021-11-28T10:56:27Z","snapshot_observed_at":"2026-08-20T15:52:45.765234Z","submitted_at":"2021-09-10T03:32:19Z","title":"What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers","version":2},"cited_work":{"arxiv_id":"2109.04650","doi":"10.48550/arxiv.2109.04650","metadata_source":"arxiv_reference","pith_arxiv_id":"2109.04650","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"What changes can large- scale language models bring? intensive study on hyperclova: Billions-scale korean generative pretrained transformers","venue":"arXiv (Cornell University)","work_id":"9da8e007-d336-40fd-88f7-d4ee38e295e5","year":2021},"citing_paper":{"arxiv_id":"2205.01068","last_updated":"2022-06-21T17:04:40Z","snapshot_observed_at":"2026-08-06T03:13:37.403059Z","submitted_at":"2022-05-02T17:49:50Z","title":"OPT: Open Pre-trained Transformer Language Models","version":4},"reference_index":294,"source":"arxiv_source","source_observed_at":"2026-05-10T20:53:16.720145Z"},"links":{"cited_paper":"/paper/2109.04650","citing_paper":"/paper/2205.01068"},"observation_digest":"sha256:ea601e277c7f9aa6b50d7fbeaa1bd372dc76e8586d876d37e92f7a3d845b34b3","observation_id":"f90693fd-1b3c-4802-bb06-7c92f7faba69","resolution":{"observed_at":"2026-05-10T20:53:17.141308Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2109.04650","last_updated":"2021-11-28T10:56:27Z","snapshot_observed_at":"2026-08-20T15:52:45.765234Z","submitted_at":"2021-09-10T03:32:19Z","title":"What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers","version":2},"cited_work":{"arxiv_id":"2109.04650","doi":"10.48550/arxiv.2109.04650","metadata_source":"arxiv_reference","pith_arxiv_id":"2109.04650","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"What changes can large- scale language models bring? intensive study on hyperclova: Billions-scale korean generative pretrained transformers","venue":"arXiv (Cornell University)","work_id":"9da8e007-d336-40fd-88f7-d4ee38e295e5","year":2021},"citing_paper":{"arxiv_id":"2307.06435","last_updated":"2024-10-17T01:10:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-07-12T20:01:52Z","title":"A Comprehensive Overview of Large Language Models","version":10},"reference_index":114,"source":"pdf_text","source_observed_at":"2026-05-19T20:28:38.900026Z"},"links":{"cited_paper":"/paper/2109.04650","citing_paper":"/paper/2307.06435"},"observation_digest":"sha256:30b0d2c57b73e158079e6f328ca2ac1933c60b8ca1a314271104070e209d0101","observation_id":"14e0d415-5d3f-443c-a081-540226a9f5be","resolution":{"observed_at":"2026-05-19T20:28:39.387494Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2109.04650","last_updated":"2021-11-28T10:56:27Z","snapshot_observed_at":"2026-08-20T15:52:45.765234Z","submitted_at":"2021-09-10T03:32:19Z","title":"What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2109.04650","snapshot_observed_at":"2026-08-16T11:32:05.932970Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2504.15431","last_updated":"2025-04-21T20:54:44Z","snapshot_observed_at":"2026-08-16T11:24:41.443927Z","submitted_at":"2025-04-21T20:54:44Z","title":"Trillion 7B Technical Report","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-16T11:32:05.932970Z"},"links":{"cited_paper":"/paper/2109.04650","citing_paper":"/paper/2504.15431"},"observation_digest":"sha256:f9c8689da1937bf63a95e1d25204f4400df2c991208764962d3896309292a1ea","observation_id":"06623267-7a52-4679-af2d-ef38e62055c3","resolution":{"observed_at":"2026-08-16T11:32:05.932970Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2109.04650","last_updated":"2021-11-28T10:56:27Z","snapshot_observed_at":"2026-08-20T15:52:45.765234Z","submitted_at":"2021-09-10T03:32:19Z","title":"What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2109.04650","snapshot_observed_at":"2026-08-15T19:47:59.585032Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.15138","last_updated":"2025-06-18T04:40:44Z","snapshot_observed_at":"2026-08-15T21:46:08.758667Z","submitted_at":"2025-06-18T04:40:44Z","title":"Thunder-Tok: Minimizing Tokens per Word in Tokenizing Korean Texts for Generative Language Models","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-15T19:47:59.585032Z"},"links":{"cited_paper":"/paper/2109.04650","citing_paper":"/paper/2506.15138"},"observation_digest":"sha256:218f3350b7155b65fcfbc40f6732eb3e075daa58232a16c2690e5fb637082939","observation_id":"b62926b5-3e24-4dae-9b53-455cb89f8c62","resolution":{"observed_at":"2026-08-15T19:47:59.585032Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2109.04650","last_updated":"2021-11-28T10:56:27Z","snapshot_observed_at":"2026-08-20T15:52:45.765234Z","submitted_at":"2021-09-10T03:32:19Z","title":"What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2109.04650","snapshot_observed_at":"2026-08-02T11:29:38.267169Z","title":"What changes can large-scale language models bring? intensive study on HyperCLOVA.arXiv preprint arXiv:2109.04650, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.14502","last_updated":"2026-07-23T02:50:21Z","snapshot_observed_at":"2026-08-16T03:36:56.551252Z","submitted_at":"2026-06-12T14:33:55Z","title":"From Chatbot to Digital Colleague: The Paradigm Shift Toward Persistent Autonomous AI","version":2},"reference_index":194,"source":"pdf_text","source_observed_at":"2026-08-02T11:29:38.267169Z"},"links":{"cited_paper":"/paper/2109.04650","citing_paper":"/paper/2606.14502"},"observation_digest":"sha256:527b50b0b11801b9f0db78b121cd41c8345ce271a93d3c488f9d7ccbe3ec28f2","observation_id":"2d4b8f35-0b4b-4ff1-9045-3ed131a70d9b","resolution":{"observed_at":"2026-08-02T11:29:38.267169Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2109.04650/citation-record","integrity":"/paper/2109.04650/integrity","json":"/paper/2109.04650/citation-record.json","paper":"/paper/2109.04650"},"outbound":[],"paper":{"arxiv_id":"2109.04650","last_updated":"2021-11-28T10:56:27Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-20T15:52:45.765234Z","submitted_at":"2021-09-10T03:32:19Z","title":"What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers"},"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":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"thesis":"As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2109.04650."}