{"as_of":"2026-08-23T16:23:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:06e75b61f868e86e28885cc7817fe9a5bcad2e404aa59765b4044762b51ac09d","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":19,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":19,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-23T06:30:58.430688+00:00","state":"measured"},{"denominator":19,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":19,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T11:28:01.873737Z","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":7,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2312.00738","last_updated":"2024-07-01T05:52:31Z","snapshot_observed_at":"2026-08-21T15:56:08.074773Z","submitted_at":"2023-12-01T17:17:56Z","title":"SeaLLMs -- Large Language Models for Southeast Asia","version":2},"cited_work":{"arxiv_id":"2312.00738","doi":"10.48550/arxiv.2312.00738","metadata_source":"arxiv_reference","pith_arxiv_id":"2312.00738","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Nguyen, W","venue":"arXiv (Cornell University)","work_id":"ab081d33-eaba-46e7-95dd-7ada898c31f0","year":2023},"citing_paper":{"arxiv_id":"2402.03300","last_updated":"2024-04-27T15:25:53Z","snapshot_observed_at":"2026-08-06T14:58:42.911363Z","submitted_at":"2024-02-05T18:55:32Z","title":"DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models","version":3},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-05-24T03:23:18.827351Z"},"links":{"cited_paper":"/paper/2312.00738","citing_paper":"/paper/2402.03300"},"observation_digest":"sha256:d92c7a2bde26edd8514ba751e3741f9f7f3b6f9f512118e8f9af316a9839dd59","observation_id":"b86d5c9d-f7ec-4ebe-8b2e-75407da5d1ac","resolution":{"observed_at":"2026-05-24T03:23:49.443002Z","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":"2312.00738","last_updated":"2024-07-01T05:52:31Z","snapshot_observed_at":"2026-08-21T15:56:08.074773Z","submitted_at":"2023-12-01T17:17:56Z","title":"SeaLLMs -- Large Language Models for Southeast Asia","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.00738","snapshot_observed_at":"2026-08-12T17:45:31.781819Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.12307","last_updated":"2024-11-19T07:48:35Z","snapshot_observed_at":"2026-08-17T22:13:05.797843Z","submitted_at":"2024-11-19T07:48:35Z","title":"Balancing Accuracy and Efficiency in Multi-Turn Intent Classification for LLM-Powered Dialog Systems in Production","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T17:45:31.781819Z"},"links":{"cited_paper":"/paper/2312.00738","citing_paper":"/paper/2411.12307"},"observation_digest":"sha256:621d12ac60850b3b0b5573aa043453e422d4a6db855304eba2b7a90592c8c4a1","observation_id":"fe9d0a8d-3911-4292-8d81-bc9fe0c86803","resolution":{"observed_at":"2026-08-12T17:45:31.781819Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.00738","last_updated":"2024-07-01T05:52:31Z","snapshot_observed_at":"2026-08-21T15:56:08.074773Z","submitted_at":"2023-12-01T17:17:56Z","title":"SeaLLMs -- Large Language Models for Southeast Asia","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.00738","snapshot_observed_at":"2026-08-12T17:04:34.425353Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.12986","last_updated":"2025-02-06T03:36:12Z","snapshot_observed_at":"2026-08-17T20:32:40.792512Z","submitted_at":"2024-11-20T02:27:40Z","title":"Training Bilingual LMs with Data Constraints in the Targeted Language","version":2},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-12T17:04:34.425353Z"},"links":{"cited_paper":"/paper/2312.00738","citing_paper":"/paper/2411.12986"},"observation_digest":"sha256:84d84da8c00e97730cad4497f6b198f84f819102bd37fd46a2ebe9287dff4b82","observation_id":"172cf460-1cf2-4cf6-93b5-29e678115003","resolution":{"observed_at":"2026-08-12T17:04:34.425353Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.00738","last_updated":"2024-07-01T05:52:31Z","snapshot_observed_at":"2026-08-21T15:56:08.074773Z","submitted_at":"2023-12-01T17:17:56Z","title":"SeaLLMs -- Large Language Models for Southeast Asia","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.00738","snapshot_observed_at":"2026-08-12T15:26:39.831086Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.14252","last_updated":"2025-09-01T08:57:22Z","snapshot_observed_at":"2026-08-16T23:49:46.463738Z","submitted_at":"2024-11-21T15:59:29Z","title":"From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification","version":3},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-12T15:26:39.831086Z"},"links":{"cited_paper":"/paper/2312.00738","citing_paper":"/paper/2411.14252"},"observation_digest":"sha256:2c56231b47feaffe6f63ec85e82c35e1d41af76f3f86bb768f7cf559c8755b3b","observation_id":"a3b49f51-832f-4fdb-98e3-a937022b0aa1","resolution":{"observed_at":"2026-08-12T15:26:39.831086Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.00738","last_updated":"2024-07-01T05:52:31Z","snapshot_observed_at":"2026-08-21T15:56:08.074773Z","submitted_at":"2023-12-01T17:17:56Z","title":"SeaLLMs -- Large Language Models for Southeast Asia","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.00738","snapshot_observed_at":"2026-08-12T14:19:24.813951Z","title":"Preprint, arXiv:2312.00738","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.15484","last_updated":"2024-11-23T07:50:59Z","snapshot_observed_at":"2026-08-12T14:12:36.942288Z","submitted_at":"2024-11-23T07:50:59Z","title":"Seed-Free Synthetic Data Generation Framework for Instruction-Tuning LLMs: A Case Study in Thai","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-12T14:19:24.813951Z"},"links":{"cited_paper":"/paper/2312.00738","citing_paper":"/paper/2411.15484"},"observation_digest":"sha256:22a73a248000fbca022320066c7768ec892183703d1d7186817b5daaa40a7c25","observation_id":"6c51e138-e74b-41a5-9afc-bbe9b391e0c4","resolution":{"observed_at":"2026-08-12T14:19:24.813951Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.00738","last_updated":"2024-07-01T05:52:31Z","snapshot_observed_at":"2026-08-21T15:56:08.074773Z","submitted_at":"2023-12-01T17:17:56Z","title":"SeaLLMs -- Large Language Models for Southeast Asia","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.00738","snapshot_observed_at":"2026-08-12T04:40:15.491657Z","title":"Seallms - large language models for southeast asia","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.01186","last_updated":"2024-12-02T06:42:51Z","snapshot_observed_at":"2026-08-19T12:55:05.595509Z","submitted_at":"2024-12-02T06:42:51Z","title":"SailCompass: Towards Reproducible and Robust Evaluation for Southeast Asian Languages","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-12T04:40:15.491657Z"},"links":{"cited_paper":"/paper/2312.00738","citing_paper":"/paper/2412.01186"},"observation_digest":"sha256:7aba2755eb53bdeebd2a732b337f6a37ca0a471762d0ba87bbfb291fb6289066","observation_id":"f78c75bf-26a4-42db-a5c2-b38943b1c595","resolution":{"observed_at":"2026-08-12T04:40:15.491657Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.00738","last_updated":"2024-07-01T05:52:31Z","snapshot_observed_at":"2026-08-21T15:56:08.074773Z","submitted_at":"2023-12-01T17:17:56Z","title":"SeaLLMs -- Large Language Models for Southeast Asia","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.00738","snapshot_observed_at":"2026-08-10T23:10:29.074540Z","title":"Seallms–large language models for southeast asia","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.21140","last_updated":"2024-12-30T18:15:45Z","snapshot_observed_at":"2026-08-17T03:41:16.400735Z","submitted_at":"2024-12-30T18:15:45Z","title":"Facilitating large language model Russian adaptation with Learned Embedding Propagation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-10T23:10:29.074540Z"},"links":{"cited_paper":"/paper/2312.00738","citing_paper":"/paper/2412.21140"},"observation_digest":"sha256:60c3f7719e5227cd2c7eb2ccaa7f34df3cf05367f2c6835948e5165178d458bf","observation_id":"f60717e4-cb31-4e1f-8e4e-41aa0f912b19","resolution":{"observed_at":"2026-08-10T23:10:29.074540Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.00738","last_updated":"2024-07-01T05:52:31Z","snapshot_observed_at":"2026-08-21T15:56:08.074773Z","submitted_at":"2023-12-01T17:17:56Z","title":"SeaLLMs -- Large Language Models for Southeast Asia","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.00738","snapshot_observed_at":"2026-08-10T22:36:03.794935Z","title":"Extracting cultural commonsense knowledge at scale","venue":null,"work_id":null,"year":1907},"citing_paper":{"arxiv_id":"2501.01282","last_updated":"2025-01-02T14:42:37Z","snapshot_observed_at":"2026-08-15T22:25:54.905660Z","submitted_at":"2025-01-02T14:42:37Z","title":"CultureVLM: Characterizing and Improving Cultural Understanding of Vision-Language Models for over 100 Countries","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-10T22:36:03.794935Z"},"links":{"cited_paper":"/paper/2312.00738","citing_paper":"/paper/2501.01282"},"observation_digest":"sha256:5c89a4491a258916efdeeafde355ef6cb834ea28bafcaf7ad30a9699f3c55cbf","observation_id":"0c3c998a-2872-4efc-903c-f08a9a740455","resolution":{"observed_at":"2026-08-10T22:36:03.794935Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.00738","last_updated":"2024-07-01T05:52:31Z","snapshot_observed_at":"2026-08-21T15:56:08.074773Z","submitted_at":"2023-12-01T17:17:56Z","title":"SeaLLMs -- Large Language Models for Southeast Asia","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.00738","snapshot_observed_at":"2026-08-10T20:25:06.256198Z","title":"SeaLLMs - Large Language Models for Southeast Asia","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.08621","last_updated":"2025-01-15T06:40:26Z","snapshot_observed_at":"2026-08-21T11:27:42.571945Z","submitted_at":"2025-01-15T06:40:26Z","title":"ViBidirectionMT-Eval: Machine Translation for Vietnamese-Chinese and Vietnamese-Lao language pair","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-10T20:25:06.256198Z"},"links":{"cited_paper":"/paper/2312.00738","citing_paper":"/paper/2501.08621"},"observation_digest":"sha256:8f36bf9bbaa8f29684736ef2771fe6a2f9435aeca5f49df7bcefb46b74c08a33","observation_id":"288f6bf5-99d7-4152-98bf-e7341d414a6b","resolution":{"observed_at":"2026-08-10T20:25:06.256198Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.00738","last_updated":"2024-07-01T05:52:31Z","snapshot_observed_at":"2026-08-21T15:56:08.074773Z","submitted_at":"2023-12-01T17:17:56Z","title":"SeaLLMs -- Large Language Models for Southeast Asia","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.00738","snapshot_observed_at":"2026-08-08T15:57:53.701632Z","title":"ArXiv:2312.00738 [cs]","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.06298","last_updated":"2025-02-10T09:40:25Z","snapshot_observed_at":"2026-08-18T15:29:54.118445Z","submitted_at":"2025-02-10T09:40:25Z","title":"SeaExam and SeaBench: Benchmarking LLMs with Local Multilingual Questions in Southeast Asia","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-08T15:57:53.701632Z"},"links":{"cited_paper":"/paper/2312.00738","citing_paper":"/paper/2502.06298"},"observation_digest":"sha256:91ec9c7c00187c9b4e6f56015a71ecd636dc60bee9e787e846c1e28bfe26130a","observation_id":"d4e32805-fc9e-41be-877a-a010c365033d","resolution":{"observed_at":"2026-08-08T15:57:53.701632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.00738","last_updated":"2024-07-01T05:52:31Z","snapshot_observed_at":"2026-08-21T15:56:08.074773Z","submitted_at":"2023-12-01T17:17:56Z","title":"SeaLLMs -- Large Language Models for Southeast Asia","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.00738","snapshot_observed_at":"2026-08-07T22:52:27.477828Z","title":"SeaLLMs -- Large Language Models for Southeast Asia , 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.09056","last_updated":"2025-03-27T06:45:16Z","snapshot_observed_at":"2026-08-18T00:25:38.033357Z","submitted_at":"2025-02-13T08:10:45Z","title":"Adapting Language-Specific LLMs to a Reasoning Model in One Day via Model Merging -- An Open Recipe","version":3},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-07T22:52:27.477828Z"},"links":{"cited_paper":"/paper/2312.00738","citing_paper":"/paper/2502.09056"},"observation_digest":"sha256:df73dc679d0f7597dd242437e7154f10372272633314a4636f5044d6cfc2692d","observation_id":"fc94bc5a-5a4e-415d-ab0c-bba44b38f2bb","resolution":{"observed_at":"2026-08-07T22:52:27.477828Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.00738","last_updated":"2024-07-01T05:52:31Z","snapshot_observed_at":"2026-08-21T15:56:08.074773Z","submitted_at":"2023-12-01T17:17:56Z","title":"SeaLLMs -- Large Language Models for Southeast Asia","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.00738","snapshot_observed_at":"2026-08-16T11:28:01.873737Z","title":"Seallms - large language models for southeast asia","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.15527","last_updated":"2025-04-22T02:08:45Z","snapshot_observed_at":"2026-08-21T00:23:01.459442Z","submitted_at":"2025-04-22T02:08:45Z","title":"Compass-V2 Technical Report","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-16T11:28:01.873737Z"},"links":{"cited_paper":"/paper/2312.00738","citing_paper":"/paper/2504.15527"},"observation_digest":"sha256:1c1fdad35bd1e2c96cdb24ae8c4b498bc4b0c3ac7ea8c498bf1df36c9ee1363c","observation_id":"11e7ea74-599b-4fce-b4fb-44ec0bf44d99","resolution":{"observed_at":"2026-08-16T11:28:01.873737Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.00738","last_updated":"2024-07-01T05:52:31Z","snapshot_observed_at":"2026-08-21T15:56:08.074773Z","submitted_at":"2023-12-01T17:17:56Z","title":"SeaLLMs -- Large Language Models for Southeast Asia","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.00738","snapshot_observed_at":"2026-08-07T14:24:45.219542Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.18995","last_updated":"2025-05-25T06:36:26Z","snapshot_observed_at":"2026-08-21T15:56:24.429141Z","submitted_at":"2025-05-25T06:36:26Z","title":"FiLLM -- A Filipino-optimized Large Language Model based on Southeast Asia Large Language Model (SEALLM)","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T14:24:45.219542Z"},"links":{"cited_paper":"/paper/2312.00738","citing_paper":"/paper/2505.18995"},"observation_digest":"sha256:a84fc67939a0dcb6ebfc18c9acfa1f01d1cc36b2b6e10783a6657ca32c8eff5d","observation_id":"9121e193-ca9b-4c48-9aef-73b37f88cbac","resolution":{"observed_at":"2026-08-07T14:24:45.219542Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.00738","last_updated":"2024-07-01T05:52:31Z","snapshot_observed_at":"2026-08-21T15:56:08.074773Z","submitted_at":"2023-12-01T17:17:56Z","title":"SeaLLMs -- Large Language Models for Southeast Asia","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.00738","snapshot_observed_at":"2026-08-07T13:12:00.779731Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.22582","last_updated":"2025-05-28T16:54:53Z","snapshot_observed_at":"2026-08-19T12:08:48.780273Z","submitted_at":"2025-05-28T16:54:53Z","title":"Less, but Better: Efficient Multilingual Expansion for LLMs via Layer-wise Mixture-of-Experts","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-07T13:12:00.779731Z"},"links":{"cited_paper":"/paper/2312.00738","citing_paper":"/paper/2505.22582"},"observation_digest":"sha256:2d8c0f58ff1b4d6a89c8baafb3ac880298c69ee453d58d667d1e163aaf096b68","observation_id":"e558bacb-1347-4d59-b767-b8dcc0801066","resolution":{"observed_at":"2026-08-07T13:12:00.779731Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.00738","last_updated":"2024-07-01T05:52:31Z","snapshot_observed_at":"2026-08-21T15:56:08.074773Z","submitted_at":"2023-12-01T17:17:56Z","title":"SeaLLMs -- Large Language Models for Southeast Asia","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.00738","snapshot_observed_at":"2026-08-07T13:00:40.364974Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.23037","last_updated":"2025-05-29T03:24:39Z","snapshot_observed_at":"2026-08-21T15:56:25.565430Z","submitted_at":"2025-05-29T03:24:39Z","title":"Improving Multilingual Social Media Insights: Aspect-based Comment Analysis","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-07T13:00:40.364974Z"},"links":{"cited_paper":"/paper/2312.00738","citing_paper":"/paper/2505.23037"},"observation_digest":"sha256:778cef6bfb983f249c1abf7d482a48ef21e3cee6adb9d3fb768735e38f15e0d4","observation_id":"56b212d3-6f29-426a-8fff-72b540cbb955","resolution":{"observed_at":"2026-08-07T13:00:40.364974Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.00738","last_updated":"2024-07-01T05:52:31Z","snapshot_observed_at":"2026-08-21T15:56:08.074773Z","submitted_at":"2023-12-01T17:17:56Z","title":"SeaLLMs -- Large Language Models for Southeast Asia","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.00738","snapshot_observed_at":"2026-08-07T11:03:39.713649Z","title":"In Proceedings of the 62nd Annual Meeting of the Association for Compu- tational Linguistics (Volume 1: Long Papers), pages 16366–16393, Bangkok, Thailand","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.03619","last_updated":"2025-06-04T06:58:19Z","snapshot_observed_at":"2026-08-16T05:20:39.087118Z","submitted_at":"2025-06-04T06:58:19Z","title":"Do Large Language Models Know Folktales? A Case Study of Yokai in Japanese Folktales","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T11:03:39.713649Z"},"links":{"cited_paper":"/paper/2312.00738","citing_paper":"/paper/2506.03619"},"observation_digest":"sha256:d08e11cf1ca9b9d57cc4c3fe77fc3f62759b9da9abb2e01733d7c4cc79e25d30","observation_id":"efda84f0-b556-405f-aaca-3b7d4e6b022e","resolution":{"observed_at":"2026-08-07T11:03:39.713649Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.00738","last_updated":"2024-07-01T05:52:31Z","snapshot_observed_at":"2026-08-21T15:56:08.074773Z","submitted_at":"2023-12-01T17:17:56Z","title":"SeaLLMs -- Large Language Models for Southeast Asia","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.00738","snapshot_observed_at":"2026-08-06T18:28:44.409393Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.08898","last_updated":"2025-07-17T08:01:44Z","snapshot_observed_at":"2026-08-20T22:33:18.638159Z","submitted_at":"2025-07-11T05:15:35Z","title":"SEALGuard: Safeguarding the Multilingual Conversations in Southeast Asian Languages for LLM Software Systems","version":3},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T18:28:44.409393Z"},"links":{"cited_paper":"/paper/2312.00738","citing_paper":"/paper/2507.08898"},"observation_digest":"sha256:8ed514b5c180346f4209b5f10f93063883caed54d4207e547f5dc44e0b5dbb29","observation_id":"ad9fbd75-dc45-446c-a60b-c616820defdc","resolution":{"observed_at":"2026-08-06T18:28:44.409393Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.00738","last_updated":"2024-07-01T05:52:31Z","snapshot_observed_at":"2026-08-21T15:56:08.074773Z","submitted_at":"2023-12-01T17:17:56Z","title":"SeaLLMs -- Large Language Models for Southeast Asia","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.00738","snapshot_observed_at":"2026-08-05T23:25:38.243030Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.05429","last_updated":"2025-08-08T01:24:20Z","snapshot_observed_at":"2026-08-09T13:16:21.232682Z","submitted_at":"2025-08-07T14:17:43Z","title":"MyCulture: Exploring Malaysia's Diverse Culture under Low-Resource Language Constraints","version":2},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-05T23:25:38.243030Z"},"links":{"cited_paper":"/paper/2312.00738","citing_paper":"/paper/2508.05429"},"observation_digest":"sha256:7d0ac8e8d924a5d7e351d9c0ee69cca68fd8808263bb631eb6bc464636e7eafc","observation_id":"4257d753-6128-40ff-9d48-b4538defda5f","resolution":{"observed_at":"2026-08-05T23:25:38.243030Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.00738","last_updated":"2024-07-01T05:52:31Z","snapshot_observed_at":"2026-08-21T15:56:08.074773Z","submitted_at":"2023-12-01T17:17:56Z","title":"SeaLLMs -- Large Language Models for Southeast Asia","version":2},"cited_work":{"arxiv_id":"2312.00738","doi":"10.48550/arxiv.2312.00738","metadata_source":"arxiv_reference","pith_arxiv_id":"2312.00738","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Nguyen, W","venue":"arXiv (Cornell University)","work_id":"ab081d33-eaba-46e7-95dd-7ada898c31f0","year":2023},"citing_paper":{"arxiv_id":"2605.02601","last_updated":"2026-05-04T13:49:44Z","snapshot_observed_at":"2026-08-14T21:39:16.526624Z","submitted_at":"2026-05-04T13:49:44Z","title":"SemEval-2026 Task 7: Everyday Knowledge Across Diverse Languages and Cultures","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-05-09T15:56:52.689233Z"},"links":{"cited_paper":"/paper/2312.00738","citing_paper":"/paper/2605.02601"},"observation_digest":"sha256:dd1d516deb4fe88bdc9b43c9a880a7cc358a2cef2c4018146cbf93ffd7bf69de","observation_id":"bdb84829-1754-48d3-8325-08c52261d9c8","resolution":{"observed_at":"2026-05-11T16:36:08.849908Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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"}}],"links":{"evidence":"/evidence","html":"/paper/2312.00738/citation-record","integrity":"/paper/2312.00738/integrity","json":"/paper/2312.00738/citation-record.json","paper":"/paper/2312.00738"},"outbound":[],"paper":{"arxiv_id":"2312.00738","last_updated":"2024-07-01T05:52:31Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-21T15:56:08.074773Z","submitted_at":"2023-12-01T17:17:56Z","title":"SeaLLMs -- Large Language Models for Southeast Asia"},"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 19 inbound Pith citation observations for arXiv:2312.00738."}