{"as_of":"2026-08-11T01:04:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:698bc98493a1048ad42e2c84891983b69396bb44b1739c7f424742686f628805","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-28T11:34:24.019560Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-07-02T01:46:26.566188Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1811.09886","last_updated":"2018-11-29T07:25:11Z","snapshot_observed_at":"2026-07-06T07:16:49.417117Z","submitted_at":"2018-11-24T19:52:02Z","title":"Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications","version":2},"cited_work":{"arxiv_id":"1811.09886","doi":null,"metadata_source":"pith","pith_arxiv_id":"1811.09886","snapshot_observed_at":"2026-07-02T01:46:26.566188Z","title":"Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications","venue":"cs.LG","work_id":"12d082bb-6be6-4711-b88d-a05679ab14e1","year":2018},"citing_paper":{"arxiv_id":"2603.25969","last_updated":"2026-04-11T05:35:33Z","snapshot_observed_at":"2026-08-02T17:56:37.229550Z","submitted_at":"2026-03-26T23:19:39Z","title":"FireBridge: Cycle-Accurate Hardware + Firmware Co-Verification for Modern Accelerators","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-14T23:58:34.758091Z"},"links":{"cited_paper":"/paper/1811.09886","citing_paper":"/paper/2603.25969"},"observation_digest":"sha256:45f23b1f71b0ffb86151e3c51823cb38ceb06440cb78f52053a70edd8a29a892","observation_id":"d79351ac-d010-41bf-a9a8-2879c0490093","resolution":{"observed_at":"2026-05-14T23:59:35.106993Z","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":{"arxiv_id":"1811.09886","last_updated":"2018-11-29T07:25:11Z","snapshot_observed_at":"2026-07-06T07:16:49.417117Z","submitted_at":"2018-11-24T19:52:02Z","title":"Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications","version":2},"cited_work":{"arxiv_id":"1811.09886","doi":null,"metadata_source":"pith","pith_arxiv_id":"1811.09886","snapshot_observed_at":"2026-07-02T01:46:26.566188Z","title":"Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications","venue":"cs.LG","work_id":"12d082bb-6be6-4711-b88d-a05679ab14e1","year":2018},"citing_paper":{"arxiv_id":"2604.17476","last_updated":"2026-04-19T15:07:01Z","snapshot_observed_at":"2026-07-06T23:04:32.734175Z","submitted_at":"2026-04-19T15:07:01Z","title":"Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading","version":1},"reference_index":98,"source":"arxiv_source","source_observed_at":"2026-05-10T06:20:18.479234Z"},"links":{"cited_paper":"/paper/1811.09886","citing_paper":"/paper/2604.17476"},"observation_digest":"sha256:150dc743c64aabbc6acb1de4c91eba877e19de839eef22b37c0ac7da3a7a2674","observation_id":"8a7de89f-9bce-4637-90dc-191b98c8847c","resolution":{"observed_at":"2026-05-10T06:21:26.870117Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"1811.09886","last_updated":"2018-11-29T07:25:11Z","snapshot_observed_at":"2026-07-06T07:16:49.417117Z","submitted_at":"2018-11-24T19:52:02Z","title":"Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications","version":2},"cited_work":{"arxiv_id":"1811.09886","doi":null,"metadata_source":"pith","pith_arxiv_id":"1811.09886","snapshot_observed_at":"2026-07-02T01:46:26.566188Z","title":"Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications","venue":"cs.LG","work_id":"12d082bb-6be6-4711-b88d-a05679ab14e1","year":2018},"citing_paper":{"arxiv_id":"2606.03014","last_updated":"2026-06-02T01:40:33Z","snapshot_observed_at":"2026-08-02T16:16:58.338780Z","submitted_at":"2026-06-02T01:40:33Z","title":"MOSAIC: Efficient Mixture-of-Agent Scheduling via Adaptive Aggregation and Inference Concurrency","version":1},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-06-28T11:34:24.019560Z"},"links":{"cited_paper":"/paper/1811.09886","citing_paper":"/paper/2606.03014"},"observation_digest":"sha256:664ff7bbf83f3b7936a48250820950d025a97123fa9870c51503e1675f2e2788","observation_id":"033b5129-02fc-4bc6-8257-ac9de32c8397","resolution":{"observed_at":"2026-07-02T01:46:26.567864Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"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"}}],"links":{"evidence":"/evidence","html":"/paper/1811.09886/citation-record","integrity":"/paper/1811.09886/integrity","json":"/paper/1811.09886/citation-record.json","paper":"/paper/1811.09886"},"outbound":[],"paper":{"arxiv_id":"1811.09886","last_updated":"2018-11-29T07:25:11Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T07:16:49.417117Z","submitted_at":"2018-11-24T19:52:02Z","title":"Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications"},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1811.09886."}