{"as_of":"2026-08-08T10:36:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c614cdde9c39d723a3b1e4df808575fcf7e018e8763084746a3b6e50bec63269","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":"2026-08-08T06:32:00.761636+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":"2026-08-07T11:37:18.710415Z","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":"2026-08-05T17:14:18.876654Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2009.10924","last_updated":"2021-12-17T07:05:38Z","snapshot_observed_at":"2026-08-03T20:33:06.414779Z","submitted_at":"2020-09-23T04:00:53Z","title":"FusionStitching: Boosting Memory Intensive Computations for Deep Learning Workloads","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2009.10924","snapshot_observed_at":"2026-08-07T11:37:18.710415Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.01880","last_updated":"2025-06-02T17:09:59Z","snapshot_observed_at":"2026-08-07T11:29:50.615992Z","submitted_at":"2025-06-02T17:09:59Z","title":"Pearl: Automatic Code Optimization Using Deep Reinforcement Learning","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:18.710415Z"},"links":{"cited_paper":"/paper/2009.10924","citing_paper":"/paper/2506.01880"},"observation_digest":"sha256:61450f16965c35e7a8bf3d4fb94ba8a50fa8960c5a68d0ec3b2c8b99fc90eb9d","observation_id":"4da71da3-82fd-4be6-8473-add67e484281","resolution":{"observed_at":"2026-08-07T11:37:18.710415Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2009.10924","last_updated":"2021-12-17T07:05:38Z","snapshot_observed_at":"2026-08-03T20:33:06.414779Z","submitted_at":"2020-09-23T04:00:53Z","title":"FusionStitching: Boosting Memory Intensive Computations for Deep Learning Workloads","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2009.10924","snapshot_observed_at":"2026-08-06T22:17:59.486067Z","title":"Fusionstitching: Boosting memory intensive computations for deep learning workloads,","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2506.22169","last_updated":"2025-06-27T12:31:24Z","snapshot_observed_at":"2026-08-06T22:07:19.919786Z","submitted_at":"2025-06-27T12:31:24Z","title":"MCFuser: High-Performance and Rapid Fusion of Memory-Bound Compute-Intensive Operators","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T22:17:59.486067Z"},"links":{"cited_paper":"/paper/2009.10924","citing_paper":"/paper/2506.22169"},"observation_digest":"sha256:7575678dace60e7e8bacdf5ece6e9d08415e8dcc74d44dd7814bcf1ec0b79f35","observation_id":"a8893b13-17ce-4513-b995-54b4b8c4b4f1","resolution":{"observed_at":"2026-08-06T22:17:59.486067Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2009.10924","last_updated":"2021-12-17T07:05:38Z","snapshot_observed_at":"2026-08-03T20:33:06.414779Z","submitted_at":"2020-09-23T04:00:53Z","title":"FusionStitching: Boosting Memory Intensive Computations for Deep Learning Workloads","version":2},"cited_work":{"arxiv_id":"2009.10924","doi":null,"metadata_source":"pith","pith_arxiv_id":"2009.10924","snapshot_observed_at":"2026-08-05T17:14:18.876654Z","title":"FusionStitching: Boosting Memory Intensive Computations for Deep Learning Workloads","venue":"cs.DC","work_id":"0409305d-2ee2-456b-80e7-de4f99187def","year":2020},"citing_paper":{"arxiv_id":"2608.03537","last_updated":"2026-08-04T12:15:28Z","snapshot_observed_at":"2026-08-07T23:12:03.992081Z","submitted_at":"2026-08-04T12:15:28Z","title":"ComFuse: Fusing Complex Memory-Intensive Subgraphs with Compute-Intensive Kernels For Modern GPU Architectures","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-05T17:14:18.523453Z"},"links":{"cited_paper":"/paper/2009.10924","citing_paper":"/paper/2608.03537"},"observation_digest":"sha256:20c6cdf3ce4fdba2736a57dead40ea6873c8a0f9d87da8fb47213b95741614c8","observation_id":"6c2a8ee3-907b-4f38-bae2-b48a41f44e22","resolution":{"observed_at":"2026-08-05T17:14:18.939842Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2009.10924/citation-record","integrity":"/paper/2009.10924/integrity","json":"/paper/2009.10924/citation-record.json","paper":"/paper/2009.10924"},"outbound":[],"paper":{"arxiv_id":"2009.10924","last_updated":"2021-12-17T07:05:38Z","latest_version":2,"primary_category":"cs.DC","snapshot_observed_at":"2026-08-03T20:33:06.414779Z","submitted_at":"2020-09-23T04:00:53Z","title":"FusionStitching: Boosting Memory Intensive Computations for Deep Learning Workloads"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2009.10924."}