{"as_of":"2026-08-14T22:26:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7bb75859c7e585ff9bbf72291b0448ace6cb5b9afb0ae243a52bbc964774f1ef","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":9,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":9,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+00:00","state":"measured"},{"denominator":9,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":9,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-09T16:47:23.595301Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-03T03:47:35.998768Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2206.02915","last_updated":"2022-06-06T21:31:32Z","snapshot_observed_at":"2026-08-13T15:29:08.400842Z","submitted_at":"2022-06-06T21:31:32Z","title":"8-bit Numerical Formats for Deep Neural Networks","version":1},"cited_work":{"arxiv_id":"2206.02915","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2206.02915","snapshot_observed_at":"2026-07-03T03:47:35.998768Z","title":"Badreddine Noune, Philip Jones, Daniel Justus, Dominic Masters, and Carlo Luschi","venue":null,"work_id":"1e2b4814-de0d-4c25-a0cd-d671fb337f4d","year":2022},"citing_paper":{"arxiv_id":"2209.05433","last_updated":"2022-09-29T20:47:07Z","snapshot_observed_at":"2026-08-14T05:39:52.416140Z","submitted_at":"2022-09-12T17:39:55Z","title":"FP8 Formats for Deep Learning","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-15T09:47:03.766814Z"},"links":{"cited_paper":"/paper/2206.02915","citing_paper":"/paper/2209.05433"},"observation_digest":"sha256:ab57c809bc4f82b8681815f90c9adc7f504d6ca4713c45b0a28d2f5ea462bb2c","observation_id":"79604980-7fa3-4640-a9a5-879902ba2fb0","resolution":{"observed_at":"2026-05-15T09:47:03.813968Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.02915","last_updated":"2022-06-06T21:31:32Z","snapshot_observed_at":"2026-08-13T15:29:08.400842Z","submitted_at":"2022-06-06T21:31:32Z","title":"8-bit Numerical Formats for Deep Neural Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.02915","snapshot_observed_at":"2026-08-09T16:47:23.595301Z","title":"8-bit numerical formats for deep neural networks, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.01070","last_updated":"2025-08-25T06:01:25Z","snapshot_observed_at":"2026-08-12T16:29:34.108900Z","submitted_at":"2025-02-03T05:26:22Z","title":"An Inquiry into Datacenter TCO for LLM Inference with FP8","version":4},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-09T16:47:23.595301Z"},"links":{"cited_paper":"/paper/2206.02915","citing_paper":"/paper/2502.01070"},"observation_digest":"sha256:42db1a1b014ec58ba6277bd74ee3645502830773393a18a3486c324213196541","observation_id":"2941aa7a-dfdf-4573-954c-7bdd74319b41","resolution":{"observed_at":"2026-08-09T16:47:23.595301Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.02915","last_updated":"2022-06-06T21:31:32Z","snapshot_observed_at":"2026-08-13T15:29:08.400842Z","submitted_at":"2022-06-06T21:31:32Z","title":"8-bit Numerical Formats for Deep Neural Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.02915","snapshot_observed_at":"2026-08-06T17:47:40.326247Z","title":"8- bit numerical formats for deep neural networks,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.09955","last_updated":"2025-07-14T06:10:30Z","snapshot_observed_at":"2026-08-12T22:06:32.894649Z","submitted_at":"2025-07-14T06:10:30Z","title":"DeepSeek: Paradigm Shifts and Technical Evolution in Large AI Models","version":1},"reference_index":124,"source":"pdf_text","source_observed_at":"2026-08-06T17:47:40.326247Z"},"links":{"cited_paper":"/paper/2206.02915","citing_paper":"/paper/2507.09955"},"observation_digest":"sha256:54186058be700ae1732706f74fe021faadfa3197df6537162bdfaaa5f0dac347","observation_id":"9912a28d-4cdc-4678-b799-f8e45c294809","resolution":{"observed_at":"2026-08-06T17:47:40.326247Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.02915","last_updated":"2022-06-06T21:31:32Z","snapshot_observed_at":"2026-08-13T15:29:08.400842Z","submitted_at":"2022-06-06T21:31:32Z","title":"8-bit Numerical Formats for Deep Neural Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.02915","snapshot_observed_at":"2026-08-06T17:52:50.520117Z","title":"8-bit Numerical Formats for Deep Neural Networks , June 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.10618","last_updated":"2025-07-13T21:28:02Z","snapshot_observed_at":"2026-08-12T23:35:40.213269Z","submitted_at":"2025-07-13T21:28:02Z","title":"Compute Requirements for Algorithmic Innovation in Frontier AI Models","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-06T17:52:50.520117Z"},"links":{"cited_paper":"/paper/2206.02915","citing_paper":"/paper/2507.10618"},"observation_digest":"sha256:0147e32dae4b28f5b6de70d36142883724990177f0ce1f04ac50b4e90607c3aa","observation_id":"4ef54b01-a8f3-417a-9951-9496e28b20a6","resolution":{"observed_at":"2026-08-06T17:52:50.520117Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.02915","last_updated":"2022-06-06T21:31:32Z","snapshot_observed_at":"2026-08-13T15:29:08.400842Z","submitted_at":"2022-06-06T21:31:32Z","title":"8-bit Numerical Formats for Deep Neural Networks","version":1},"cited_work":{"arxiv_id":"2206.02915","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2206.02915","snapshot_observed_at":"2026-07-03T03:47:35.998768Z","title":"Badreddine Noune, Philip Jones, Daniel Justus, Dominic Masters, and Carlo Luschi","venue":null,"work_id":"1e2b4814-de0d-4c25-a0cd-d671fb337f4d","year":2022},"citing_paper":{"arxiv_id":"2510.04212","last_updated":"2026-04-18T01:36:25Z","snapshot_observed_at":"2026-08-11T09:38:23.812338Z","submitted_at":"2025-10-05T14:01:24Z","title":"Why Low-Precision Transformer Training Fails: An Analysis on Flash Attention","version":3},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-18T10:01:56.131253Z"},"links":{"cited_paper":"/paper/2206.02915","citing_paper":"/paper/2510.04212"},"observation_digest":"sha256:17562378a193a39c8bc088081a4f08e8f557ca8115b3a37665b7b70d4a8d6231","observation_id":"93c4ca0f-0f0f-492e-9f4b-9839f0659c4e","resolution":{"observed_at":"2026-05-18T10:02:31.639481Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.02915","last_updated":"2022-06-06T21:31:32Z","snapshot_observed_at":"2026-08-13T15:29:08.400842Z","submitted_at":"2022-06-06T21:31:32Z","title":"8-bit Numerical Formats for Deep Neural Networks","version":1},"cited_work":{"arxiv_id":"2206.02915","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2206.02915","snapshot_observed_at":"2026-07-03T03:47:35.998768Z","title":"Badreddine Noune, Philip Jones, Daniel Justus, Dominic Masters, and Carlo Luschi","venue":null,"work_id":"1e2b4814-de0d-4c25-a0cd-d671fb337f4d","year":2022},"citing_paper":{"arxiv_id":"2604.15416","last_updated":"2026-04-16T17:55:36Z","snapshot_observed_at":"2026-07-06T23:02:58.361418Z","submitted_at":"2026-04-16T17:55:36Z","title":"StoSignSGD: Unbiased Structural Stochasticity Fixes SignSGD for Training Large Language Models","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-10T12:10:44.802059Z"},"links":{"cited_paper":"/paper/2206.02915","citing_paper":"/paper/2604.15416"},"observation_digest":"sha256:32b633500a7e969a0db94bce92c04f8fd6de6d0a46467925e72dc57c42e6f1bd","observation_id":"b50e98f9-0593-4786-a61c-60667fda3273","resolution":{"observed_at":"2026-05-10T12:15:22.243362Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.02915","last_updated":"2022-06-06T21:31:32Z","snapshot_observed_at":"2026-08-13T15:29:08.400842Z","submitted_at":"2022-06-06T21:31:32Z","title":"8-bit Numerical Formats for Deep Neural Networks","version":1},"cited_work":{"arxiv_id":"2206.02915","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2206.02915","snapshot_observed_at":"2026-07-03T03:47:35.998768Z","title":"Badreddine Noune, Philip Jones, Daniel Justus, Dominic Masters, and Carlo Luschi","venue":null,"work_id":"1e2b4814-de0d-4c25-a0cd-d671fb337f4d","year":2022},"citing_paper":{"arxiv_id":"2606.04028","last_updated":"2026-06-01T19:27:39Z","snapshot_observed_at":"2026-08-06T20:34:16.818396Z","submitted_at":"2026-06-01T19:27:39Z","title":"Novel Aspects of IEEE SA P3109 Arithmetic Formats for Machine Learning","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-28T15:54:35.706197Z"},"links":{"cited_paper":"/paper/2206.02915","citing_paper":"/paper/2606.04028"},"observation_digest":"sha256:660744a2ed3156e8ce61a1ad71e1f95a65f67fe6ba1623ce278900dbcfe573e3","observation_id":"7029b50d-e42f-464b-8b32-58eba4ec16e4","resolution":{"observed_at":"2026-07-01T21:56:16.427737Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.02915","last_updated":"2022-06-06T21:31:32Z","snapshot_observed_at":"2026-08-13T15:29:08.400842Z","submitted_at":"2022-06-06T21:31:32Z","title":"8-bit Numerical Formats for Deep Neural Networks","version":1},"cited_work":{"arxiv_id":"2206.02915","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2206.02915","snapshot_observed_at":"2026-07-03T03:47:35.998768Z","title":"Badreddine Noune, Philip Jones, Daniel Justus, Dominic Masters, and Carlo Luschi","venue":null,"work_id":"1e2b4814-de0d-4c25-a0cd-d671fb337f4d","year":2022},"citing_paper":{"arxiv_id":"2606.09686","last_updated":"2026-06-22T12:28:45Z","snapshot_observed_at":"2026-08-07T01:34:24.353260Z","submitted_at":"2026-06-08T16:04:15Z","title":"An 83-Format Numeric Catalog with Bit-Exact Conformance Vectors: A Vendor-Neutral Reference for FP8, BF16, MXFP4, and Microscaling Formats","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-06-27T14:33:42.876697Z"},"links":{"cited_paper":"/paper/2206.02915","citing_paper":"/paper/2606.09686"},"observation_digest":"sha256:8ddd464bb6c7863176a172566d2efce91f90be8f0b65c24fc7350289b6034795","observation_id":"08da097b-1502-4d73-b2b5-f660d8c4b364","resolution":{"observed_at":"2026-07-03T03:47:36.000161Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.02915","last_updated":"2022-06-06T21:31:32Z","snapshot_observed_at":"2026-08-13T15:29:08.400842Z","submitted_at":"2022-06-06T21:31:32Z","title":"8-bit Numerical Formats for Deep Neural Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.02915","snapshot_observed_at":"2026-08-04T23:36:18.802917Z","title":"8-bit numeri- cal formats for deep neural networks,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.01653","last_updated":"2026-08-03T03:44:13Z","snapshot_observed_at":"2026-08-14T13:18:25.847440Z","submitted_at":"2026-08-03T03:44:13Z","title":"Hadamard-Domain Model Quantization for Learned Image Coding","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-04T23:36:18.802917Z"},"links":{"cited_paper":"/paper/2206.02915","citing_paper":"/paper/2608.01653"},"observation_digest":"sha256:c846468923296d59dcded55ce3b5df43d7e829f56ddda32550f8cde03b6c4136","observation_id":"3424be5e-032d-435d-a309-a2ae40253e98","resolution":{"observed_at":"2026-08-04T23:36:18.802917Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2206.02915/citation-record","integrity":"/paper/2206.02915/integrity","json":"/paper/2206.02915/citation-record.json","paper":"/paper/2206.02915"},"outbound":[],"paper":{"arxiv_id":"2206.02915","last_updated":"2022-06-06T21:31:32Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-13T15:29:08.400842Z","submitted_at":"2022-06-06T21:31:32Z","title":"8-bit Numerical Formats for Deep Neural Networks"},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2206.02915."}