{"as_of":"2026-08-07T00:48:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:43fc3cfc04d88b56aa68c10d8e0bf0dd4c1b3bc24a13d10ce2930015a0ad92fc","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":13,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":13,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-06T06:34:29.942622+00:00","state":"measured"},{"denominator":13,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":13,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T22:04:35.821507Z","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":19,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2304.01433","last_updated":"2023-04-20T22:25:51Z","snapshot_observed_at":"2026-07-06T15:11:43.266427Z","submitted_at":"2023-04-04T00:52:46Z","title":"TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support for Embeddings","version":3},"cited_work":{"arxiv_id":"2304.01433","doi":"10.48550/arxiv.2304.01433","metadata_source":"arxiv_reference","pith_arxiv_id":"2304.01433","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Jouppi et al","venue":"arXiv (Cornell University)","work_id":"fc1692c3-0eb0-4426-892d-92d02849fee6","year":2023},"citing_paper":{"arxiv_id":"2308.03958","last_updated":"2024-02-15T01:03:13Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-08-07T23:48:36Z","title":"Simple synthetic data reduces sycophancy in large language models","version":2},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-05-16T14:48:08.508109Z"},"links":{"cited_paper":"/paper/2304.01433","citing_paper":"/paper/2308.03958"},"observation_digest":"sha256:8f02622e8aa29c88de255fabedd99b5cf9765c8fcb462051ecfd5770d29b435a","observation_id":"c53e8b4c-ee26-4ff3-a35a-0b13bba3ebe3","resolution":{"observed_at":"2026-05-16T14:48:08.586330Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.01433","last_updated":"2023-04-20T22:25:51Z","snapshot_observed_at":"2026-07-06T15:11:43.266427Z","submitted_at":"2023-04-04T00:52:46Z","title":"TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support for Embeddings","version":3},"cited_work":{"arxiv_id":"2304.01433","doi":"10.48550/arxiv.2304.01433","metadata_source":"arxiv_reference","pith_arxiv_id":"2304.01433","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Jouppi et al","venue":"arXiv (Cornell University)","work_id":"fc1692c3-0eb0-4426-892d-92d02849fee6","year":2023},"citing_paper":{"arxiv_id":"2502.10517","last_updated":"2025-02-14T19:30:53Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-02-14T19:30:53Z","title":"KernelBench: Can LLMs Write Efficient GPU Kernels?","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-15T16:55:01.976356Z"},"links":{"cited_paper":"/paper/2304.01433","citing_paper":"/paper/2502.10517"},"observation_digest":"sha256:bb5ece36cf013d537f9ebd7de905e5da32fd5c094788153781256ff09808a12e","observation_id":"233239b0-c324-4270-a095-67d6cd36adee","resolution":{"observed_at":"2026-05-15T16:55:02.050250Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.01433","last_updated":"2023-04-20T22:25:51Z","snapshot_observed_at":"2026-07-06T15:11:43.266427Z","submitted_at":"2023-04-04T00:52:46Z","title":"TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support for Embeddings","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.01433","snapshot_observed_at":"2026-08-06T22:04:35.821507Z","title":"arXiv:2304.01433 [cs.AR] https://arxiv.org/abs/2304.01433 Tamara G","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.22818","last_updated":"2025-06-28T08:42:01Z","snapshot_observed_at":"2026-08-06T21:54:56.861742Z","submitted_at":"2025-06-28T08:42:01Z","title":"TriADA: Massively Parallel Trilinear Matrix-by-Tensor Multiply-Add Algorithm and Device Architecture for the Acceleration of 3D Discrete Transformations","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T22:04:35.821507Z"},"links":{"cited_paper":"/paper/2304.01433","citing_paper":"/paper/2506.22818"},"observation_digest":"sha256:fc711f0aaffd1680cd7d7fb860aa12c5e5f276fe8167354e231e77c50133959d","observation_id":"e650dc4b-5ccd-450d-b1e4-5dd5ffbcb918","resolution":{"observed_at":"2026-08-06T22:04:35.821507Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.01433","last_updated":"2023-04-20T22:25:51Z","snapshot_observed_at":"2026-07-06T15:11:43.266427Z","submitted_at":"2023-04-04T00:52:46Z","title":"TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support for Embeddings","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.01433","snapshot_observed_at":"2026-08-06T15:30:19.998603Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.15628","last_updated":"2025-07-21T13:52:06Z","snapshot_observed_at":"2026-08-06T15:24:43.268084Z","submitted_at":"2025-07-21T13:52:06Z","title":"A Survey on Efficiency Optimization Techniques for DNN-based Video Analytics: Process Systems, Algorithms, and Applications","version":1},"reference_index":139,"source":"pdf_text","source_observed_at":"2026-08-06T15:30:19.998603Z"},"links":{"cited_paper":"/paper/2304.01433","citing_paper":"/paper/2507.15628"},"observation_digest":"sha256:9151e0dd4e1c3eaa00a2b3c7c22b423abb47a1af6f63e78726e1dab0cfc39937","observation_id":"939fca8f-dfa5-4624-abb4-4cceb77a0d69","resolution":{"observed_at":"2026-08-06T15:30:19.998603Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.01433","last_updated":"2023-04-20T22:25:51Z","snapshot_observed_at":"2026-07-06T15:11:43.266427Z","submitted_at":"2023-04-04T00:52:46Z","title":"TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support for Embeddings","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.01433","snapshot_observed_at":"2026-08-04T22:22:06.777578Z","title":"TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support for Em- beddings,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.07396","last_updated":"2025-09-09T05:20:55Z","snapshot_observed_at":"2026-08-05T02:38:45.903510Z","submitted_at":"2025-09-09T05:20:55Z","title":"Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-04T22:22:06.777578Z"},"links":{"cited_paper":"/paper/2304.01433","citing_paper":"/paper/2509.07396"},"observation_digest":"sha256:69df3d57eba094e11d80f584c284edf1f0c4242c422db973e6320e2a28228c96","observation_id":"8fee8b54-0805-46a9-9005-d92ed78fc734","resolution":{"observed_at":"2026-08-04T22:22:06.777578Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.01433","last_updated":"2023-04-20T22:25:51Z","snapshot_observed_at":"2026-07-06T15:11:43.266427Z","submitted_at":"2023-04-04T00:52:46Z","title":"TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support for Embeddings","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.01433","snapshot_observed_at":"2026-08-04T08:22:13.822491Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2510.21364","last_updated":"2026-06-01T11:38:51Z","snapshot_observed_at":"2026-08-06T17:02:41.484415Z","submitted_at":"2025-10-24T11:48:49Z","title":"SindBERT, the Sailor: Charting the Seas of Turkish NLP","version":2},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-04T08:22:13.822491Z"},"links":{"cited_paper":"/paper/2304.01433","citing_paper":"/paper/2510.21364"},"observation_digest":"sha256:cd2f63a6516aa87d2a2f18abde46f0c4ef86c388ef2e7d0e996ac8640ea15c66","observation_id":"70b5ce84-1ed2-4cbe-848d-d755e6ed40cf","resolution":{"observed_at":"2026-08-04T08:22:13.822491Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.01433","last_updated":"2023-04-20T22:25:51Z","snapshot_observed_at":"2026-07-06T15:11:43.266427Z","submitted_at":"2023-04-04T00:52:46Z","title":"TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support for Embeddings","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.01433","snapshot_observed_at":"2026-08-04T08:21:42.767563Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2510.21372","last_updated":"2026-06-01T11:52:23Z","snapshot_observed_at":"2026-08-04T08:21:26.285210Z","submitted_at":"2025-10-24T11:52:29Z","title":"HalleluBERT: Let Every Token That Has Meaning Bear Its Weight","version":2},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-04T08:21:42.767563Z"},"links":{"cited_paper":"/paper/2304.01433","citing_paper":"/paper/2510.21372"},"observation_digest":"sha256:67d2e7538e67b7bcabbf1c77d1cc4bbc974d481762c8070554536ecb55a69026","observation_id":"61bc710d-ccf1-466e-990c-ce34151969b5","resolution":{"observed_at":"2026-08-04T08:21:42.767563Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.01433","last_updated":"2023-04-20T22:25:51Z","snapshot_observed_at":"2026-07-06T15:11:43.266427Z","submitted_at":"2023-04-04T00:52:46Z","title":"TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support for Embeddings","version":3},"cited_work":{"arxiv_id":"2304.01433","doi":"10.48550/arxiv.2304.01433","metadata_source":"arxiv_reference","pith_arxiv_id":"2304.01433","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Jouppi et al","venue":"arXiv (Cornell University)","work_id":"fc1692c3-0eb0-4426-892d-92d02849fee6","year":2023},"citing_paper":{"arxiv_id":"2603.28239","last_updated":"2026-08-04T08:18:13Z","snapshot_observed_at":"2026-08-07T00:10:36.528401Z","submitted_at":"2026-03-30T09:59:11Z","title":"A Switch-Centric In-Network Architecture for Accelerating LLM Inference in Shared-Memory Network","version":3},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-14T01:54:00.951348Z"},"links":{"cited_paper":"/paper/2304.01433","citing_paper":"/paper/2603.28239"},"observation_digest":"sha256:458faa8cc577e10f42e2cf8e10f03bdfb30233910228392f5f9ac1736bedf385","observation_id":"372eead8-4bb8-4b78-9ea8-f9ea692621ce","resolution":{"observed_at":"2026-05-14T01:58:36.943474Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.01433","last_updated":"2023-04-20T22:25:51Z","snapshot_observed_at":"2026-07-06T15:11:43.266427Z","submitted_at":"2023-04-04T00:52:46Z","title":"TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support for Embeddings","version":3},"cited_work":{"arxiv_id":"2304.01433","doi":"10.48550/arxiv.2304.01433","metadata_source":"arxiv_reference","pith_arxiv_id":"2304.01433","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Jouppi et al","venue":"arXiv (Cornell University)","work_id":"fc1692c3-0eb0-4426-892d-92d02849fee6","year":2023},"citing_paper":{"arxiv_id":"2604.10403","last_updated":"2026-04-12T01:37:45Z","snapshot_observed_at":"2026-07-06T22:59:01.129724Z","submitted_at":"2026-04-12T01:37:45Z","title":"Latent Instruction Representation Alignment: defending against jailbreaks, backdoors and undesired knowledge in LLMs","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-05-10T16:41:52.440793Z"},"links":{"cited_paper":"/paper/2304.01433","citing_paper":"/paper/2604.10403"},"observation_digest":"sha256:efd16de71689da2583002edcce4764fdac3dcd59eec2752ace48c2f5d70ffe5d","observation_id":"fed2d7af-fe88-47d0-90d5-ecca2046fc86","resolution":{"observed_at":"2026-05-11T08:21:00.048821Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.01433","last_updated":"2023-04-20T22:25:51Z","snapshot_observed_at":"2026-07-06T15:11:43.266427Z","submitted_at":"2023-04-04T00:52:46Z","title":"TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support for Embeddings","version":3},"cited_work":{"arxiv_id":"2304.01433","doi":"10.48550/arxiv.2304.01433","metadata_source":"arxiv_reference","pith_arxiv_id":"2304.01433","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Jouppi et al","venue":"arXiv (Cornell University)","work_id":"fc1692c3-0eb0-4426-892d-92d02849fee6","year":2023},"citing_paper":{"arxiv_id":"2604.17808","last_updated":"2026-04-20T05:00:47Z","snapshot_observed_at":"2026-07-06T23:04:50.935335Z","submitted_at":"2026-04-20T05:00:47Z","title":"Enabling AI ASICs for Zero Knowledge Proof","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-10T04:23:40.022306Z"},"links":{"cited_paper":"/paper/2304.01433","citing_paper":"/paper/2604.17808"},"observation_digest":"sha256:11c725227c79adad21891b849642391b9e5b7fc2775e2aa1f7939770b5eeba5b","observation_id":"a784dd5e-578c-439e-b7d6-0250a8c7ee18","resolution":{"observed_at":"2026-05-11T11:56:31.862935Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.01433","last_updated":"2023-04-20T22:25:51Z","snapshot_observed_at":"2026-07-06T15:11:43.266427Z","submitted_at":"2023-04-04T00:52:46Z","title":"TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support for Embeddings","version":3},"cited_work":{"arxiv_id":"2304.01433","doi":"10.48550/arxiv.2304.01433","metadata_source":"arxiv_reference","pith_arxiv_id":"2304.01433","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Jouppi et al","venue":"arXiv (Cornell University)","work_id":"fc1692c3-0eb0-4426-892d-92d02849fee6","year":2023},"citing_paper":{"arxiv_id":"2604.19286","last_updated":"2026-04-21T09:53:11Z","snapshot_observed_at":"2026-07-06T23:05:58.167533Z","submitted_at":"2026-04-21T09:53:11Z","title":"Mass Matrix Assembly on Tensor Cores for Implicit Particle-In-Cell Methods","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-10T01:48:28.819072Z"},"links":{"cited_paper":"/paper/2304.01433","citing_paper":"/paper/2604.19286"},"observation_digest":"sha256:77c23dc23b215dcfc09457d1b40c6651b8691882b7f8371cfbfc43ff3611d277","observation_id":"5c239ef0-fd85-4704-bb96-0e506fa8bc19","resolution":{"observed_at":"2026-05-10T01:51:00.282493Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.01433","last_updated":"2023-04-20T22:25:51Z","snapshot_observed_at":"2026-07-06T15:11:43.266427Z","submitted_at":"2023-04-04T00:52:46Z","title":"TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support for Embeddings","version":3},"cited_work":{"arxiv_id":"2304.01433","doi":"10.48550/arxiv.2304.01433","metadata_source":"arxiv_reference","pith_arxiv_id":"2304.01433","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Jouppi et al","venue":"arXiv (Cornell University)","work_id":"fc1692c3-0eb0-4426-892d-92d02849fee6","year":2023},"citing_paper":{"arxiv_id":"2606.02100","last_updated":"2026-06-01T11:32:02Z","snapshot_observed_at":"2026-07-06T23:42:35.063977Z","submitted_at":"2026-06-01T11:32:02Z","title":"PortBERT: Navigating the Depths of Portuguese Language Models","version":1},"reference_index":87,"source":"arxiv_source","source_observed_at":"2026-06-28T14:43:28.401687Z"},"links":{"cited_paper":"/paper/2304.01433","citing_paper":"/paper/2606.02100"},"observation_digest":"sha256:e73b41559505c3772ac431e2e6d92f3db025f4fc0ca4c10a65a0d6169f0be11b","observation_id":"4deb1d31-be1e-4db7-9f84-b28be29f7590","resolution":{"observed_at":"2026-06-28T14:52:18.768211Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.01433","last_updated":"2023-04-20T22:25:51Z","snapshot_observed_at":"2026-07-06T15:11:43.266427Z","submitted_at":"2023-04-04T00:52:46Z","title":"TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support for Embeddings","version":3},"cited_work":{"arxiv_id":"2304.01433","doi":"10.48550/arxiv.2304.01433","metadata_source":"arxiv_reference","pith_arxiv_id":"2304.01433","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Jouppi et al","venue":"arXiv (Cornell University)","work_id":"fc1692c3-0eb0-4426-892d-92d02849fee6","year":2023},"citing_paper":{"arxiv_id":"2606.17566","last_updated":"2026-06-16T06:12:05Z","snapshot_observed_at":"2026-07-06T23:53:07.149182Z","submitted_at":"2026-06-16T06:12:05Z","title":"AoiZora: Topology-Aware Auto-Parallel Optimization for Inference of Diffusion Transformers","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-06-26T23:07:13.368633Z"},"links":{"cited_paper":"/paper/2304.01433","citing_paper":"/paper/2606.17566"},"observation_digest":"sha256:fef5457e5272e559f9f3fe1cd40b69614f6bb3306ef6428939db0d7f353b28ec","observation_id":"a7b4dcea-b357-44ab-b5ff-abdad9fe2070","resolution":{"observed_at":"2026-07-03T22:59:03.360219Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2304.01433/citation-record","integrity":"/paper/2304.01433/integrity","json":"/paper/2304.01433/citation-record.json","paper":"/paper/2304.01433"},"outbound":[],"paper":{"arxiv_id":"2304.01433","last_updated":"2023-04-20T22:25:51Z","latest_version":3,"primary_category":"cs.AR","snapshot_observed_at":"2026-07-06T15:11:43.266427Z","submitted_at":"2023-04-04T00:52:46Z","title":"TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support for Embeddings"},"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":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2304.01433."}