{"as_of":"2026-08-10T13:42:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ee79843e2e5cb3f87bb9d842dea3a947f9d4ea2452ee5bfe0e7b0c76ea1591f8","coverage":[{"denominator":48,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":48,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-09T11:53:29.774164Z","state":"measured"},{"denominator":48,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":48,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2502.02523/citation-record","integrity":"/paper/2502.02523/integrity","json":"/paper/2502.02523/citation-record.json","paper":"/paper/2502.02523"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T11:53:30.838741Z","title":"DeepSeek Homepage,","venue":null,"work_id":"89cd7bd1-8b0e-4fa5-b1a7-fe0f9a6846cc","year":2025},"citing_paper":{"arxiv_id":"2502.02523","last_updated":"2025-02-07T15:02:21Z","snapshot_observed_at":"2026-08-10T12:20:13.060373Z","submitted_at":"2025-02-04T17:45:32Z","title":"Brief analysis of DeepSeek R1 and its implications for Generative AI","version":3},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-09T11:53:29.349728Z"},"links":{"citing_paper":"/paper/2502.02523"},"observation_digest":"sha256:91afbc55702be954834240cca76e55b0b01f38ffab2bd36ea9a5164bed690d1a","observation_id":"d34191d1-395c-4784-8a4b-369983252113","resolution":{"observed_at":"2026-08-09T11:53:30.857959Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.19437","last_updated":"2025-02-18T17:26:38Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-12-27T04:03:16Z","title":"DeepSeek-V3 Technical Report","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.19437","snapshot_observed_at":"2026-08-09T11:53:29.353746Z","title":"DeepSeek-V3 Technical Report,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.02523","last_updated":"2025-02-07T15:02:21Z","snapshot_observed_at":"2026-08-10T12:20:13.060373Z","submitted_at":"2025-02-04T17:45:32Z","title":"Brief analysis of DeepSeek R1 and its implications for Generative AI","version":3},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-09T11:53:29.353746Z"},"links":{"cited_paper":"/paper/2412.19437","citing_paper":"/paper/2502.02523"},"observation_digest":"sha256:8467e2788d860a01ef4e402ab0f777100508e766e6570e2569eeadef301ad788","observation_id":"c972d878-e692-4cd8-b891-31ea59d79358","resolution":{"observed_at":"2026-08-09T11:53:29.353746Z","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":"2026-08-09T11:53:30.786480Z","title":"Nvidia drops nearly 17% as China’s cheaper AI model DeepSeek sparks global tech sell-off,","venue":null,"work_id":"fbdc78e1-aee0-4f3c-9d26-b272336a67af","year":2025},"citing_paper":{"arxiv_id":"2502.02523","last_updated":"2025-02-07T15:02:21Z","snapshot_observed_at":"2026-08-10T12:20:13.060373Z","submitted_at":"2025-02-04T17:45:32Z","title":"Brief analysis of DeepSeek R1 and its implications for Generative AI","version":3},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-09T11:53:29.357314Z"},"links":{"citing_paper":"/paper/2502.02523"},"observation_digest":"sha256:e8e52c3081c228030fa9affea1b5646a5e2f0fa70d4c58b182ce101bbaa805e8","observation_id":"096a0de2-9d6b-4516-bd21-a811d8bb3f5d","resolution":{"observed_at":"2026-08-09T11:53:30.807462Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T11:53:30.768296Z","title":"Nvidia shares sink as Chinese AI app spooks markets,","venue":null,"work_id":"00cb7145-ef85-4f88-8fc2-0b4080c72bdd","year":2025},"citing_paper":{"arxiv_id":"2502.02523","last_updated":"2025-02-07T15:02:21Z","snapshot_observed_at":"2026-08-10T12:20:13.060373Z","submitted_at":"2025-02-04T17:45:32Z","title":"Brief analysis of DeepSeek R1 and its implications for Generative AI","version":3},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-09T11:53:29.360364Z"},"links":{"citing_paper":"/paper/2502.02523"},"observation_digest":"sha256:191ae391ff07364ad94f172225c80aaa692a1abd19b090c3000aa42818aa4f01","observation_id":"6039df35-0623-4748-9020-05988bd66ebc","resolution":{"observed_at":"2026-08-09T11:53:30.771445Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T11:53:30.760583Z","title":"The race for","venue":null,"work_id":"21a8703b-4dcb-4b97-add0-ca4aebce2f16","year":2025},"citing_paper":{"arxiv_id":"2502.02523","last_updated":"2025-02-07T15:02:21Z","snapshot_observed_at":"2026-08-10T12:20:13.060373Z","submitted_at":"2025-02-04T17:45:32Z","title":"Brief analysis of DeepSeek R1 and its implications for Generative AI","version":3},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-09T11:53:29.363420Z"},"links":{"citing_paper":"/paper/2502.02523"},"observation_digest":"sha256:86969a1636aaad042198aa6b679f2ffd9deb356d6aa5f9ee5a00c006674a759e","observation_id":"13a285c1-e42e-40eb-ba3b-2971f3b3744b","resolution":{"observed_at":"2026-08-09T11:53:30.763359Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.12948","last_updated":"2026-01-04T03:57:36Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-01-22T15:19:35Z","title":"DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.12948","snapshot_observed_at":"2026-08-09T11:53:29.366314Z","title":"DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2502.02523","last_updated":"2025-02-07T15:02:21Z","snapshot_observed_at":"2026-08-10T12:20:13.060373Z","submitted_at":"2025-02-04T17:45:32Z","title":"Brief analysis of DeepSeek R1 and its implications for Generative AI","version":3},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-09T11:53:29.366314Z"},"links":{"cited_paper":"/paper/2501.12948","citing_paper":"/paper/2502.02523"},"observation_digest":"sha256:6d51b4e4b262fa4e0002210512b8d64f76565deefc75542bbe241ccbd933d3de","observation_id":"37e2f672-e3a4-4965-9c32-260bd92e22a2","resolution":{"observed_at":"2026-08-09T11:53:29.366314Z","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":"2026-08-09T11:53:30.752199Z","title":"China’s Cheap, Open AI Model DeepSeek Thrills Scientists,","venue":null,"work_id":"51268e54-b3a9-423a-8029-cef3347e2210","year":2025},"citing_paper":{"arxiv_id":"2502.02523","last_updated":"2025-02-07T15:02:21Z","snapshot_observed_at":"2026-08-10T12:20:13.060373Z","submitted_at":"2025-02-04T17:45:32Z","title":"Brief analysis of DeepSeek R1 and its implications for Generative AI","version":3},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-09T11:53:29.369437Z"},"links":{"citing_paper":"/paper/2502.02523"},"observation_digest":"sha256:cff88345e617f2328a85091d10d49d97252a9feb572b3a33dd425988f5c57294","observation_id":"5d9f0ebb-cd56-43a1-bef8-d540867c310c","resolution":{"observed_at":"2026-08-09T11:53:30.755452Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.04088","last_updated":"2024-01-08T18:47:34Z","snapshot_observed_at":"2026-08-08T06:16:25.839566Z","submitted_at":"2024-01-08T18:47:34Z","title":"Mixtral of Experts","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.04088","snapshot_observed_at":"2026-08-09T11:53:29.374562Z","title":"Mixtral of Experts,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.02523","last_updated":"2025-02-07T15:02:21Z","snapshot_observed_at":"2026-08-10T12:20:13.060373Z","submitted_at":"2025-02-04T17:45:32Z","title":"Brief analysis of DeepSeek R1 and its implications for Generative AI","version":3},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-09T11:53:29.374562Z"},"links":{"cited_paper":"/paper/2401.04088","citing_paper":"/paper/2502.02523"},"observation_digest":"sha256:8b52d5d60e80622b0b72d6da61edc071d5af10bbd89d8acad83e672f7bf75c78","observation_id":"1f871755-b823-4bdd-a190-6574f3f1b245","resolution":{"observed_at":"2026-08-09T11:53:29.374562Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.06066","last_updated":"2024-01-11T17:31:42Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-01-11T17:31:42Z","title":"DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.06066","snapshot_observed_at":"2026-08-09T11:53:29.377553Z","title":"DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.02523","last_updated":"2025-02-07T15:02:21Z","snapshot_observed_at":"2026-08-10T12:20:13.060373Z","submitted_at":"2025-02-04T17:45:32Z","title":"Brief analysis of DeepSeek R1 and its implications for Generative AI","version":3},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-09T11:53:29.377553Z"},"links":{"cited_paper":"/paper/2401.06066","citing_paper":"/paper/2502.02523"},"observation_digest":"sha256:a68116f499a6effd1059866deefc5d3235c01959e3bd6edb2b12ec9fb87a4869","observation_id":"c7ddef1b-1792-43ce-920e-9ad9cbc786bd","resolution":{"observed_at":"2026-08-09T11:53:29.377553Z","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":"2026-08-09T11:53:30.735059Z","title":"Simple Reinforcement Learning for Reasoning,","venue":null,"work_id":"1df16890-cafc-4fce-8ba3-5ad875a69f05","year":2025},"citing_paper":{"arxiv_id":"2502.02523","last_updated":"2025-02-07T15:02:21Z","snapshot_observed_at":"2026-08-10T12:20:13.060373Z","submitted_at":"2025-02-04T17:45:32Z","title":"Brief analysis of DeepSeek R1 and its implications for Generative AI","version":3},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-09T11:53:29.380359Z"},"links":{"citing_paper":"/paper/2502.02523"},"observation_digest":"sha256:82fa471095360ad9d4a7d1a2fa0c4b63f8eeffae174e0f025991e7eb30290261","observation_id":"52c7c6ea-0e8c-4acc-aa19-bae0d685b7ce","resolution":{"observed_at":"2026-08-09T11:53:30.737731Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T11:53:30.727504Z","title":"7B Model and 8K Examples: Emerging Reasoning with Reinforcement Learning is Both Effective and Efficient,","venue":null,"work_id":"4ac7583e-2f98-4518-9221-480ca10e02f4","year":2025},"citing_paper":{"arxiv_id":"2502.02523","last_updated":"2025-02-07T15:02:21Z","snapshot_observed_at":"2026-08-10T12:20:13.060373Z","submitted_at":"2025-02-04T17:45:32Z","title":"Brief analysis of DeepSeek R1 and its implications for Generative AI","version":3},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-09T11:53:29.383067Z"},"links":{"citing_paper":"/paper/2502.02523"},"observation_digest":"sha256:85e440e4c2e1f967f4ad27d7088a9809d9c0d2b7074e52fb5875e1e252114fa2","observation_id":"d72ca7ef-174f-4933-8f07-b5a3998f53d4","resolution":{"observed_at":"2026-08-09T11:53:30.730419Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.04519","last_updated":"2025-01-08T14:12:57Z","snapshot_observed_at":"2026-08-04T20:57:22.329262Z","submitted_at":"2025-01-08T14:12:57Z","title":"rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.04519","snapshot_observed_at":"2026-08-09T11:53:29.385817Z","title":"rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2502.02523","last_updated":"2025-02-07T15:02:21Z","snapshot_observed_at":"2026-08-10T12:20:13.060373Z","submitted_at":"2025-02-04T17:45:32Z","title":"Brief analysis of DeepSeek R1 and its implications for Generative AI","version":3},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-09T11:53:29.385817Z"},"links":{"cited_paper":"/paper/2501.04519","citing_paper":"/paper/2502.02523"},"observation_digest":"sha256:db24bb267067bd93913cc8aeb7535cac4b29d8e710db0553b79588748746f893","observation_id":"4bf0e9b3-3ecd-4465-98cd-4db3051e59e0","resolution":{"observed_at":"2026-08-09T11:53:29.385817Z","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":"2026-08-09T11:53:30.719523Z","title":"Open R1,","venue":null,"work_id":"9dfedeb8-4b65-45b8-8678-59c5d55bb93c","year":2025},"citing_paper":{"arxiv_id":"2502.02523","last_updated":"2025-02-07T15:02:21Z","snapshot_observed_at":"2026-08-10T12:20:13.060373Z","submitted_at":"2025-02-04T17:45:32Z","title":"Brief analysis of DeepSeek R1 and its implications for Generative AI","version":3},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-09T11:53:29.440075Z"},"links":{"citing_paper":"/paper/2502.02523"},"observation_digest":"sha256:0a4fdf67362c4ae18c8d19b48e4061df0a2d466ca22c825927b9b5bc2cd2b979","observation_id":"0bde3fed-d4a0-455a-9ca4-8a3ce264f34a","resolution":{"observed_at":"2026-08-09T11:53:30.722144Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T11:53:30.711619Z","title":"Doubao-1.5-Pro,","venue":null,"work_id":"262defe4-0b03-49a8-891d-cf79e33a9b8b","year":2025},"citing_paper":{"arxiv_id":"2502.02523","last_updated":"2025-02-07T15:02:21Z","snapshot_observed_at":"2026-08-10T12:20:13.060373Z","submitted_at":"2025-02-04T17:45:32Z","title":"Brief analysis of DeepSeek R1 and its implications for Generative AI","version":3},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-09T11:53:29.490159Z"},"links":{"citing_paper":"/paper/2502.02523"},"observation_digest":"sha256:6a88ea7818c5c0612c98ce66794afb401ddeb446d13ef9fd315a60fe0f4612d1","observation_id":"dca7a118-2a2a-4e1b-a587-a6b20c712f07","resolution":{"observed_at":"2026-08-09T11:53:30.714534Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T11:53:30.703441Z","title":"ByteDance AI Introduces Doubao-1.5-Pro Language Model with a ‘Deep Think- ing’ Mode and Matches GPT-4o and Claude 3.5 Sonnet Benchmarks at 50x Cheaper,","venue":null,"work_id":"6b3ee665-fb36-4f69-928d-8f563a6da6db","year":2025},"citing_paper":{"arxiv_id":"2502.02523","last_updated":"2025-02-07T15:02:21Z","snapshot_observed_at":"2026-08-10T12:20:13.060373Z","submitted_at":"2025-02-04T17:45:32Z","title":"Brief analysis of DeepSeek R1 and its implications for Generative AI","version":3},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-09T11:53:29.591119Z"},"links":{"citing_paper":"/paper/2502.02523"},"observation_digest":"sha256:7a4bb25fb6ef4c4b39e05c89908b970fd39922c5228f7f004ec8a24cf0f2b110","observation_id":"d071d79a-9e48-4be5-9415-31027fdbbd2b","resolution":{"observed_at":"2026-08-09T11:53:30.706591Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"com/7210521","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T11:53:30.174606Z","title":"DeepSeek Has Rattled the AI Industry . Here’s a Look at Other Chinese AI Models,","venue":null,"work_id":"4a670d0e-ad76-4401-a4be-7bdd7c98905d","year":2025},"citing_paper":{"arxiv_id":"2502.02523","last_updated":"2025-02-07T15:02:21Z","snapshot_observed_at":"2026-08-10T12:20:13.060373Z","submitted_at":"2025-02-04T17:45:32Z","title":"Brief analysis of DeepSeek R1 and its implications for Generative AI","version":3},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-09T11:53:29.636949Z"},"links":{"citing_paper":"/paper/2502.02523"},"observation_digest":"sha256:b34392ca18534b362f83e166e72d308daf4f0eac37706b81230a791a0553a186","observation_id":"34d0deb7-2aef-4b9f-8794-32825c41469d","resolution":{"observed_at":"2026-08-09T11:53:30.179180Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.07446","last_updated":"2025-05-27T05:08:53Z","snapshot_observed_at":"2026-08-03T18:58:12.100534Z","submitted_at":"2024-11-12T00:07:29Z","title":"Efficient and Accurate Prompt Optimization: the Benefit of Memory in Exemplar-Guided Reflection","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.07446","snapshot_observed_at":"2026-08-09T11:53:29.669915Z","title":"Efficient and Accurate Prompt Optimization: The Benefit of Memory in Exemplar-Guided Reflection,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.02523","last_updated":"2025-02-07T15:02:21Z","snapshot_observed_at":"2026-08-10T12:20:13.060373Z","submitted_at":"2025-02-04T17:45:32Z","title":"Brief analysis of DeepSeek R1 and its implications for Generative AI","version":3},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-09T11:53:29.669915Z"},"links":{"cited_paper":"/paper/2411.07446","citing_paper":"/paper/2502.02523"},"observation_digest":"sha256:0f243eb9680bcfcd0913e48b9c23aa62da4b3ce98537c4c4a7603a78c7b32369","observation_id":"39e701e7-a91b-4647-bb47-9066b652a6c8","resolution":{"observed_at":"2026-08-09T11:53:29.669915Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.08446","last_updated":"2024-11-13T08:57:59Z","snapshot_observed_at":"2026-07-06T19:49:38.886114Z","submitted_at":"2024-11-13T08:57:59Z","title":"LSH-MoE: Communication-efficient MoE Training via Locality-Sensitive Hashing","version":1},"cited_work":{"arxiv_id":"2411.08446","doi":null,"metadata_source":"pith","pith_arxiv_id":"2411.08446","snapshot_observed_at":"2026-08-09T11:53:30.107650Z","title":"LSH-MoE: Communication-efficient MoE Training via Locality-Sensitive Hashing","venue":"cs.DC","work_id":"aa7b4609-36b2-4cb4-b762-85e787cc7cd7","year":2024},"citing_paper":{"arxiv_id":"2502.02523","last_updated":"2025-02-07T15:02:21Z","snapshot_observed_at":"2026-08-10T12:20:13.060373Z","submitted_at":"2025-02-04T17:45:32Z","title":"Brief analysis of DeepSeek R1 and its implications for Generative AI","version":3},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-09T11:53:29.686016Z"},"links":{"cited_paper":"/paper/2411.08446","citing_paper":"/paper/2502.02523"},"observation_digest":"sha256:eb97ca6b717bd25f8c08f0a39756252093aa380ee5f9ed652e3d7edf4fc26646","observation_id":"a379feaa-84e5-4187-9caa-8e03b4761caa","resolution":{"observed_at":"2026-08-09T11:53:30.110769Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T11:53:30.695299Z","title":"iFlytek Releases the Xunfei Spark Deep Reasoning Model X1,","venue":null,"work_id":"48e1883b-a7d5-453c-9d39-5018cdaaae23","year":2025},"citing_paper":{"arxiv_id":"2502.02523","last_updated":"2025-02-07T15:02:21Z","snapshot_observed_at":"2026-08-10T12:20:13.060373Z","submitted_at":"2025-02-04T17:45:32Z","title":"Brief analysis of DeepSeek R1 and its implications for Generative AI","version":3},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-09T11:53:29.689411Z"},"links":{"citing_paper":"/paper/2502.02523"},"observation_digest":"sha256:d3b56fce681650621e68294c767eca0a3189f7bba6124a82d394707c2cd80dcb","observation_id":"6f7cab48-09b8-47c3-953d-cc9943332a6a","resolution":{"observed_at":"2026-08-09T11:53:30.698291Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T11:53:30.687281Z","title":"Kimi k1.5,","venue":null,"work_id":"38384272-9d2c-4de8-9927-232884b71161","year":2025},"citing_paper":{"arxiv_id":"2502.02523","last_updated":"2025-02-07T15:02:21Z","snapshot_observed_at":"2026-08-10T12:20:13.060373Z","submitted_at":"2025-02-04T17:45:32Z","title":"Brief analysis of DeepSeek R1 and its implications for Generative AI","version":3},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-09T11:53:29.692084Z"},"links":{"citing_paper":"/paper/2502.02523"},"observation_digest":"sha256:8016259719e2eeba00a4db4136e96723914c23a753d04ca3b1cd46aab71ab75a","observation_id":"0fa5c6aa-9afd-4061-8fe0-569a22786777","resolution":{"observed_at":"2026-08-09T11:53:30.690148Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.12599","last_updated":"2025-06-03T02:14:54Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-01-22T02:48:14Z","title":"Kimi k1.5: Scaling Reinforcement Learning with LLMs","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.12599","snapshot_observed_at":"2026-08-09T11:53:29.695130Z","title":"Kimi k1.5: Scaling Reinforcement Learning with LLMs,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2502.02523","last_updated":"2025-02-07T15:02:21Z","snapshot_observed_at":"2026-08-10T12:20:13.060373Z","submitted_at":"2025-02-04T17:45:32Z","title":"Brief analysis of DeepSeek R1 and its implications for Generative AI","version":3},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-09T11:53:29.695130Z"},"links":{"cited_paper":"/paper/2501.12599","citing_paper":"/paper/2502.02523"},"observation_digest":"sha256:470ab0e91bbcc6cd78e40a76b4956ff76b184acf31d2c21e418ee78d8a971066","observation_id":"2b5d357f-5f7f-45a4-9900-0ca824b65c82","resolution":{"observed_at":"2026-08-09T11:53:29.695130Z","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":"2026-08-09T11:53:30.637884Z","title":"Kimi k1.5: How China’s New AI Powerhouse is Redefining Multimodal Reasoning and Beating OpenAI’s o1,","venue":null,"work_id":"c14f7054-478f-4681-89f2-42fc9beaebdd","year":2025},"citing_paper":{"arxiv_id":"2502.02523","last_updated":"2025-02-07T15:02:21Z","snapshot_observed_at":"2026-08-10T12:20:13.060373Z","submitted_at":"2025-02-04T17:45:32Z","title":"Brief analysis of DeepSeek R1 and its implications for Generative AI","version":3},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-09T11:53:29.698298Z"},"links":{"citing_paper":"/paper/2502.02523"},"observation_digest":"sha256:2ce764ff1675988b2c6f211a5e3d7aa8642e30304436df85457e24b7b4d0a2c1","observation_id":"000e68ed-f7ce-4356-8952-d0ff122442f9","resolution":{"observed_at":"2026-08-09T11:53:30.657644Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T11:53:30.588327Z","title":"Qwen2.5-VL","venue":null,"work_id":"7590c1f3-bd0d-44f9-99c2-2b598327f03d","year":null},"citing_paper":{"arxiv_id":"2502.02523","last_updated":"2025-02-07T15:02:21Z","snapshot_observed_at":"2026-08-10T12:20:13.060373Z","submitted_at":"2025-02-04T17:45:32Z","title":"Brief analysis of DeepSeek R1 and its implications for Generative AI","version":3},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-09T11:53:29.701113Z"},"links":{"citing_paper":"/paper/2502.02523"},"observation_digest":"sha256:9ece2ae7c174628ddb0e962ea0c90d37f0b42d259e9adf3a56132d6407a99d10","observation_id":"ea9e334b-94b9-44e2-8f66-091a6cef4c48","resolution":{"observed_at":"2026-08-09T11:53:30.607806Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T11:53:30.545205Z","title":"Introducing Deep Research","venue":null,"work_id":"db30ce34-8ea0-456e-9be6-6bef0dd75af6","year":null},"citing_paper":{"arxiv_id":"2502.02523","last_updated":"2025-02-07T15:02:21Z","snapshot_observed_at":"2026-08-10T12:20:13.060373Z","submitted_at":"2025-02-04T17:45:32Z","title":"Brief analysis of DeepSeek R1 and its implications for Generative AI","version":3},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-09T11:53:29.703738Z"},"links":{"citing_paper":"/paper/2502.02523"},"observation_digest":"sha256:798a7643f7d66936d955f09168b37b0d30b47d2eba2cad8c1b7ab46fba6e53a9","observation_id":"5179cfaa-04ca-4b4d-9568-9f2ddf3a39c2","resolution":{"observed_at":"2026-08-09T11:53:30.563025Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T11:53:30.526350Z","title":"OpenAI ’reviewing’ allegations that its AI models were used to make DeepSeek,","venue":null,"work_id":"25028f1f-e8c8-4cbd-8d6d-01ce569fc280","year":2025},"citing_paper":{"arxiv_id":"2502.02523","last_updated":"2025-02-07T15:02:21Z","snapshot_observed_at":"2026-08-10T12:20:13.060373Z","submitted_at":"2025-02-04T17:45:32Z","title":"Brief analysis of DeepSeek R1 and its implications for Generative AI","version":3},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-09T11:53:29.706463Z"},"links":{"citing_paper":"/paper/2502.02523"},"observation_digest":"sha256:718420d8497293dc97b77f681205052fa7a641a7d3b972738c8e2eefbe798ca8","observation_id":"b8ed3d0a-a7e4-45cf-a07d-ecde7d0e8e8e","resolution":{"observed_at":"2026-08-09T11:53:30.529150Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T11:53:30.518648Z","title":"OpenAI o3-mini,","venue":null,"work_id":"9c0555e8-d47b-433f-abac-9c92552f4b17","year":2025},"citing_paper":{"arxiv_id":"2502.02523","last_updated":"2025-02-07T15:02:21Z","snapshot_observed_at":"2026-08-10T12:20:13.060373Z","submitted_at":"2025-02-04T17:45:32Z","title":"Brief analysis of DeepSeek R1 and its implications for Generative AI","version":3},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-09T11:53:29.709132Z"},"links":{"citing_paper":"/paper/2502.02523"},"observation_digest":"sha256:d9a5391e8d65af74bb0e40c75404f70b23c99e25dd7e3eded5a98c9f5653bc3c","observation_id":"10b0614c-4992-4eaf-b1c9-23cc14cf4213","resolution":{"observed_at":"2026-08-09T11:53:30.521554Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T11:53:30.510839Z","title":"OpenAI Releases Its New o3-mini Reasoning Model for Free,","venue":null,"work_id":"13e58583-8a7c-4e68-8e01-2ca24e57a41b","year":2025},"citing_paper":{"arxiv_id":"2502.02523","last_updated":"2025-02-07T15:02:21Z","snapshot_observed_at":"2026-08-10T12:20:13.060373Z","submitted_at":"2025-02-04T17:45:32Z","title":"Brief analysis of DeepSeek R1 and its implications for Generative AI","version":3},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-09T11:53:29.711836Z"},"links":{"citing_paper":"/paper/2502.02523"},"observation_digest":"sha256:cdf5c5fecbb06578eedf352c07eae988d4703ccb61842daecfb5bfe0214f2cb4","observation_id":"ac6cc0ac-9382-47a5-b1df-cca4f3d32604","resolution":{"observed_at":"2026-08-09T11:53:30.513715Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T11:53:30.502167Z","title":"China’s DeepSeek AI Shakes Industry and Dents America’s Swagger,","venue":null,"work_id":"9539359a-b2af-4c91-bd33-14960881de42","year":2025},"citing_paper":{"arxiv_id":"2502.02523","last_updated":"2025-02-07T15:02:21Z","snapshot_observed_at":"2026-08-10T12:20:13.060373Z","submitted_at":"2025-02-04T17:45:32Z","title":"Brief analysis of DeepSeek R1 and its implications for Generative AI","version":3},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-09T11:53:29.714473Z"},"links":{"citing_paper":"/paper/2502.02523"},"observation_digest":"sha256:a9ceecc25b6b8781f2cd24a5b98357ed9081c5dba3c4f8e46ad67b10804b529e","observation_id":"bdf89d78-8a85-4937-b191-2133183e76dc","resolution":{"observed_at":"2026-08-09T11:53:30.505855Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T11:53:30.494055Z","title":"CHIPS and Science Act,","venue":null,"work_id":"5206e522-91b5-49cc-8729-46eb84cb1d12","year":2025},"citing_paper":{"arxiv_id":"2502.02523","last_updated":"2025-02-07T15:02:21Z","snapshot_observed_at":"2026-08-10T12:20:13.060373Z","submitted_at":"2025-02-04T17:45:32Z","title":"Brief analysis of DeepSeek R1 and its implications for Generative AI","version":3},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-09T11:53:29.717297Z"},"links":{"citing_paper":"/paper/2502.02523"},"observation_digest":"sha256:d51e35c9a168350fa63d95750f78ba468e0ec0cfc728122ffe0eac3312cdaab0","observation_id":"9626f8ac-a0b8-4539-94bf-5e5cb8ca258a","resolution":{"observed_at":"2026-08-09T11:53:30.496898Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T11:53:30.485570Z","title":"DeepSeek: The Chinese AI App That Has the World Talking,","venue":null,"work_id":"2ec20880-e319-41ed-9a50-080c34fe5689","year":2025},"citing_paper":{"arxiv_id":"2502.02523","last_updated":"2025-02-07T15:02:21Z","snapshot_observed_at":"2026-08-10T12:20:13.060373Z","submitted_at":"2025-02-04T17:45:32Z","title":"Brief analysis of DeepSeek R1 and its implications for Generative AI","version":3},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-09T11:53:29.719850Z"},"links":{"citing_paper":"/paper/2502.02523"},"observation_digest":"sha256:16ce82305e1e2ddf50005f1ff217cc84c876b1c7ce01be0ad5d624b62d0c0421","observation_id":"e1565dba-42fc-4813-882b-b2b7174861a4","resolution":{"observed_at":"2026-08-09T11:53:30.488617Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T11:53:30.477416Z","title":"DeepSeek,","venue":null,"work_id":"278ab248-fed0-4f7c-91da-132e8235831b","year":2025},"citing_paper":{"arxiv_id":"2502.02523","last_updated":"2025-02-07T15:02:21Z","snapshot_observed_at":"2026-08-10T12:20:13.060373Z","submitted_at":"2025-02-04T17:45:32Z","title":"Brief analysis of DeepSeek R1 and its implications for Generative AI","version":3},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-09T11:53:29.722436Z"},"links":{"citing_paper":"/paper/2502.02523"},"observation_digest":"sha256:da3027b5eaf0fffbb315159ee03676049b5947dbe3dbff1011124bca12030162","observation_id":"3b9b1fe8-6276-4479-b09f-9d112777a646","resolution":{"observed_at":"2026-08-09T11:53:30.480275Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T11:53:30.469511Z","title":"deepseek-r1,","venue":null,"work_id":"dedbe431-e4d6-4212-96de-cfe24228ade2","year":2025},"citing_paper":{"arxiv_id":"2502.02523","last_updated":"2025-02-07T15:02:21Z","snapshot_observed_at":"2026-08-10T12:20:13.060373Z","submitted_at":"2025-02-04T17:45:32Z","title":"Brief analysis of DeepSeek R1 and its implications for Generative AI","version":3},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-09T11:53:29.725448Z"},"links":{"citing_paper":"/paper/2502.02523"},"observation_digest":"sha256:9539c67bdb7e8837c8c173cf3b66fa7f4efb8cf05459640a0d56084026c1c772","observation_id":"0ac2bf65-9711-4224-8cc4-a8a0ff57db9c","resolution":{"observed_at":"2026-08-09T11:53:30.472169Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T11:53:30.461493Z","title":"Someone on X Claims to Have Jailbroken R1 by Invoking the Name of Pliny , a Renowned LLM Jailbreaker,","venue":null,"work_id":"d9e0fe62-6d26-4c68-ae91-5a6506bd4997","year":2025},"citing_paper":{"arxiv_id":"2502.02523","last_updated":"2025-02-07T15:02:21Z","snapshot_observed_at":"2026-08-10T12:20:13.060373Z","submitted_at":"2025-02-04T17:45:32Z","title":"Brief analysis of DeepSeek R1 and its implications for Generative AI","version":3},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-09T11:53:29.727765Z"},"links":{"citing_paper":"/paper/2502.02523"},"observation_digest":"sha256:35c41a533d7fdaf1d6990dfb4898b76339c4623426dd3d45076b17da083b1156","observation_id":"a675088d-2ea4-424e-a353-173f65b3d2a9","resolution":{"observed_at":"2026-08-09T11:53:30.464385Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T11:53:30.453032Z","title":"DeepSh*t: Exposing the Security Risks of DeepSeek-r1,","venue":null,"work_id":"904d5cd4-13f5-45d6-a3c3-82517b583310","year":2025},"citing_paper":{"arxiv_id":"2502.02523","last_updated":"2025-02-07T15:02:21Z","snapshot_observed_at":"2026-08-10T12:20:13.060373Z","submitted_at":"2025-02-04T17:45:32Z","title":"Brief analysis of DeepSeek R1 and its implications for Generative AI","version":3},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-09T11:53:29.730459Z"},"links":{"citing_paper":"/paper/2502.02523"},"observation_digest":"sha256:16fedbd92288871b3f80e27bd3a6829ed89c1ed92943e0db6bcad8e318d16c8e","observation_id":"ebe4a0d3-97b5-4a72-9753-a36fe08cbac7","resolution":{"observed_at":"2026-08-09T11:53:30.456264Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T11:53:30.444366Z","title":"Recent Jailbreaks Demonstrate Emerging Threat to DeepSeek,","venue":null,"work_id":"3a256f5b-250d-4391-9bb7-c5d1010b5efe","year":2025},"citing_paper":{"arxiv_id":"2502.02523","last_updated":"2025-02-07T15:02:21Z","snapshot_observed_at":"2026-08-10T12:20:13.060373Z","submitted_at":"2025-02-04T17:45:32Z","title":"Brief analysis of DeepSeek R1 and its implications for Generative AI","version":3},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-09T11:53:29.733414Z"},"links":{"citing_paper":"/paper/2502.02523"},"observation_digest":"sha256:878d104205b13916bc42854515faf8db2c837750a7d90a867009bb0a6ac81412","observation_id":"219bd471-634b-412b-af11-cd222e03eed0","resolution":{"observed_at":"2026-08-09T11:53:30.447531Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T11:53:30.422402Z","title":"DeepSeek FAQ,","venue":null,"work_id":"203d2968-95c5-47d6-8953-02c8deb39d8f","year":2025},"citing_paper":{"arxiv_id":"2502.02523","last_updated":"2025-02-07T15:02:21Z","snapshot_observed_at":"2026-08-10T12:20:13.060373Z","submitted_at":"2025-02-04T17:45:32Z","title":"Brief analysis of DeepSeek R1 and its implications for Generative AI","version":3},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-09T11:53:29.736197Z"},"links":{"citing_paper":"/paper/2502.02523"},"observation_digest":"sha256:4a4416504defa3aabab36d7d37c1c718e770d09f18b0674d8e8611297710a661","observation_id":"d7d8a04f-0e69-4409-ad5a-c9796086c28e","resolution":{"observed_at":"2026-08-09T11:53:30.439044Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"status/1882824","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T11:53:30.086179Z","title":"Billionaire and Scale AI CEO Alexandr Wang: DeepSeek Has About 50,000 NVIDIA H100s That They Can’t Talk About Because of the US Export Controls That Are in Place,","venue":null,"work_id":"6907d342-ccad-4779-a701-0e0895447e10","year":2025},"citing_paper":{"arxiv_id":"2502.02523","last_updated":"2025-02-07T15:02:21Z","snapshot_observed_at":"2026-08-10T12:20:13.060373Z","submitted_at":"2025-02-04T17:45:32Z","title":"Brief analysis of DeepSeek R1 and its implications for Generative AI","version":3},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-09T11:53:29.739165Z"},"links":{"citing_paper":"/paper/2502.02523"},"observation_digest":"sha256:0b84a39b11061681c5ea5ed0825f9461106f0e60301b5be115b75da3cd0b62ee","observation_id":"63be57ad-f41f-4750-bc1c-a5021d39adf4","resolution":{"observed_at":"2026-08-09T11:53:30.090728Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"status/1883595","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T11:53:29.969428Z","title":"With R1, a Lot of People Have Been Asking How Come We Didn’t Discover This 2 Years Ago?","venue":null,"work_id":"81473354-de15-45f0-b7e6-8aca052f8a4a","year":2025},"citing_paper":{"arxiv_id":"2502.02523","last_updated":"2025-02-07T15:02:21Z","snapshot_observed_at":"2026-08-10T12:20:13.060373Z","submitted_at":"2025-02-04T17:45:32Z","title":"Brief analysis of DeepSeek R1 and its implications for Generative AI","version":3},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-09T11:53:29.742514Z"},"links":{"citing_paper":"/paper/2502.02523"},"observation_digest":"sha256:9af26e0bb2b3105d344cd80712cce08d448182c0acec6c5afe7e6ffcbc65434d","observation_id":"7461072d-aa8c-42dc-9e44-afa1e83105a5","resolution":{"observed_at":"2026-08-09T11:53:30.011841Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"status/1882839","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T11:53:29.850186Z","title":"The Specific RL Alg Doesn’t Matter Much. . . ,","venue":null,"work_id":"8878095e-f676-4068-98dd-83e819e5644d","year":2025},"citing_paper":{"arxiv_id":"2502.02523","last_updated":"2025-02-07T15:02:21Z","snapshot_observed_at":"2026-08-10T12:20:13.060373Z","submitted_at":"2025-02-04T17:45:32Z","title":"Brief analysis of DeepSeek R1 and its implications for Generative AI","version":3},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-09T11:53:29.745155Z"},"links":{"citing_paper":"/paper/2502.02523"},"observation_digest":"sha256:4a7b3a7f5401ad1cfc76489480dfe3c1173bc5ee2e5f548ccaf1a26fd8d7021f","observation_id":"1e92291d-3695-4420-af3c-701116a61bf1","resolution":{"observed_at":"2026-08-09T11:53:29.879629Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T11:53:30.366549Z","title":"All About DeepSeek – The Chinese AI Startup Challenging US Big Tech,","venue":null,"work_id":"8bcb4945-e817-42da-8b7b-a777bc531618","year":2025},"citing_paper":{"arxiv_id":"2502.02523","last_updated":"2025-02-07T15:02:21Z","snapshot_observed_at":"2026-08-10T12:20:13.060373Z","submitted_at":"2025-02-04T17:45:32Z","title":"Brief analysis of DeepSeek R1 and its implications for Generative AI","version":3},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-09T11:53:29.747778Z"},"links":{"citing_paper":"/paper/2502.02523"},"observation_digest":"sha256:22701b6afe994b60d087b9d4955fbce21300d95c96110cf0a341fe1428b9316f","observation_id":"f926eff2-88c4-4da0-a370-3ce1813b1ae9","resolution":{"observed_at":"2026-08-09T11:53:30.389930Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T11:53:30.317646Z","title":"Announcing The Stargate Project,","venue":null,"work_id":"006d441e-035b-4219-9cba-8aa0aa7b0ff2","year":2025},"citing_paper":{"arxiv_id":"2502.02523","last_updated":"2025-02-07T15:02:21Z","snapshot_observed_at":"2026-08-10T12:20:13.060373Z","submitted_at":"2025-02-04T17:45:32Z","title":"Brief analysis of DeepSeek R1 and its implications for Generative AI","version":3},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-09T11:53:29.750405Z"},"links":{"citing_paper":"/paper/2502.02523"},"observation_digest":"sha256:0ccb1b0be4554cb47609ab36f4bd4fde8dd448823ff8deae719169132cc22a36","observation_id":"8bd69542-7946-432d-a7d2-3932cbf938b9","resolution":{"observed_at":"2026-08-09T11:53:30.337984Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T11:53:30.268029Z","title":"OpenAI Says Chinese Rivals Using Its Work for Their AI Apps,","venue":null,"work_id":"deb20d90-90c0-40a4-82ca-c174a062d243","year":2025},"citing_paper":{"arxiv_id":"2502.02523","last_updated":"2025-02-07T15:02:21Z","snapshot_observed_at":"2026-08-10T12:20:13.060373Z","submitted_at":"2025-02-04T17:45:32Z","title":"Brief analysis of DeepSeek R1 and its implications for Generative AI","version":3},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-09T11:53:29.753213Z"},"links":{"citing_paper":"/paper/2502.02523"},"observation_digest":"sha256:130df8d15207520d28ce412a5a2a05a66b2e825409a6ed094bf46562e23e292e","observation_id":"81883204-efd9-429a-8bb0-79fd71f42a89","resolution":{"observed_at":"2026-08-09T11:53:30.287475Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T11:53:30.258903Z","title":"Be Careful with DeepSeek Australia Says – So Is It Safe to Use?","venue":null,"work_id":"3adeb37d-49a7-4999-b4b3-251b876da9d6","year":2025},"citing_paper":{"arxiv_id":"2502.02523","last_updated":"2025-02-07T15:02:21Z","snapshot_observed_at":"2026-08-10T12:20:13.060373Z","submitted_at":"2025-02-04T17:45:32Z","title":"Brief analysis of DeepSeek R1 and its implications for Generative AI","version":3},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-09T11:53:29.756063Z"},"links":{"citing_paper":"/paper/2502.02523"},"observation_digest":"sha256:07e9592ddce57781a4dfc81104d2bf745625b87b6e0be352a5c850cd48e70eae","observation_id":"e41cd292-04ee-4567-a7c9-36fb5bd4fcd4","resolution":{"observed_at":"2026-08-09T11:53:30.262192Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T11:53:30.249577Z","title":"New DeepSeek Warning — Do You Need To Delete Your iPhone, Android App?","venue":null,"work_id":"aef99e9f-edc4-4a30-9d78-04c5a473b300","year":2025},"citing_paper":{"arxiv_id":"2502.02523","last_updated":"2025-02-07T15:02:21Z","snapshot_observed_at":"2026-08-10T12:20:13.060373Z","submitted_at":"2025-02-04T17:45:32Z","title":"Brief analysis of DeepSeek R1 and its implications for Generative AI","version":3},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-09T11:53:29.758799Z"},"links":{"citing_paper":"/paper/2502.02523"},"observation_digest":"sha256:572fddfbcd510e20e7720fb3ca707fd48a330c7fe365abf1a72cb188a986a291","observation_id":"2863a01f-6bfd-4cf2-a0e2-1fd3cf0c215b","resolution":{"observed_at":"2026-08-09T11:53:30.253034Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T11:53:30.240275Z","title":"DeepSeek blocked on Apple and Google app stores in Italy,","venue":null,"work_id":"87e1a416-5654-42e7-913d-d8be82d4f78c","year":2025},"citing_paper":{"arxiv_id":"2502.02523","last_updated":"2025-02-07T15:02:21Z","snapshot_observed_at":"2026-08-10T12:20:13.060373Z","submitted_at":"2025-02-04T17:45:32Z","title":"Brief analysis of DeepSeek R1 and its implications for Generative AI","version":3},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-09T11:53:29.761617Z"},"links":{"citing_paper":"/paper/2502.02523"},"observation_digest":"sha256:df45530d11b1b1c1135cd23b9040e8c0ef7c326c2bc9a478578eedfe4035db43","observation_id":"eaca601a-6eb2-478e-a51c-599858df2632","resolution":{"observed_at":"2026-08-09T11:53:30.243456Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T11:53:30.230747Z","title":"Wiz Research Uncovers Exposed DeepSeek Database Leaking Sensitive Information, Including Chat History,","venue":null,"work_id":"b3a5ea47-97ec-4add-9c40-ecf400912cab","year":2025},"citing_paper":{"arxiv_id":"2502.02523","last_updated":"2025-02-07T15:02:21Z","snapshot_observed_at":"2026-08-10T12:20:13.060373Z","submitted_at":"2025-02-04T17:45:32Z","title":"Brief analysis of DeepSeek R1 and its implications for Generative AI","version":3},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-09T11:53:29.764300Z"},"links":{"citing_paper":"/paper/2502.02523"},"observation_digest":"sha256:8eed90bbeb472db9c821b83aae443b3ba9c7e5b9d24b5ef4400606a68f8341dc","observation_id":"95afac16-1084-4da5-94d7-e3f09e634240","resolution":{"observed_at":"2026-08-09T11:53:30.233895Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T11:53:30.221714Z","title":"European AI alliance unveils LLM alternative to Silicon Valley and DeepSeek,","venue":null,"work_id":"5c345ac9-ed93-4b12-80ce-166cb005cb18","year":2025},"citing_paper":{"arxiv_id":"2502.02523","last_updated":"2025-02-07T15:02:21Z","snapshot_observed_at":"2026-08-10T12:20:13.060373Z","submitted_at":"2025-02-04T17:45:32Z","title":"Brief analysis of DeepSeek R1 and its implications for Generative AI","version":3},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-09T11:53:29.774164Z"},"links":{"citing_paper":"/paper/2502.02523"},"observation_digest":"sha256:776a09c7d45a076ee979b19827a595ed75c0d5de51aec9a8855d0c9f9f8101a4","observation_id":"18dd876b-fa7d-47cb-aec3-5b2c2cc91b9c","resolution":{"observed_at":"2026-08-09T11:53:30.225096Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T11:53:30.743037Z","title":"Available: https://www.nature.com/articles/d41586-025-00229-6","venue":null,"work_id":"72baca0b-d48d-41d4-a27a-aa7af51dd62b","year":null},"citing_paper":{"arxiv_id":"2502.02523","last_updated":"2025-02-07T15:02:21Z","snapshot_observed_at":"2026-08-10T12:20:13.060373Z","submitted_at":"2025-02-04T17:45:32Z","title":"Brief analysis of DeepSeek R1 and its implications for Generative AI","version":3},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-09T11:53:29.371729Z"},"links":{"citing_paper":"/paper/2502.02523"},"observation_digest":"sha256:ffdbffff087c6dd062dae5cd57a000e7baaa48a34d5aca0a96e168fa48cf485f","observation_id":"025a0267-0f24-4da9-9f41-9b020e77c5d7","resolution":{"observed_at":"2026-08-09T11:53:30.746606Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2502.02523","last_updated":"2025-02-07T15:02:21Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-10T12:20:13.060373Z","submitted_at":"2025-02-04T17:45:32Z","title":"Brief analysis of DeepSeek R1 and its implications for Generative AI"},"reference_resolution":{"displayed":48,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":7,"verified_exact":5,"verified_fuzzy":36},"total_outbound_references":48},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2502.02523."}