{"as_of":"2026-08-24T02:07:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a84a8a4acf9a61daf027c06fcb28d77475d6b7869e10ee9b468697c96f49808d","coverage":[{"denominator":35,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":35,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T19:15:53.482434Z","state":"measured"},{"denominator":35,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":35,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-23T06:30:58.430688+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/2503.04771/citation-record","integrity":"/paper/2503.04771/integrity","json":"/paper/2503.04771/citation-record.json","paper":"/paper/2503.04771"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T19:15:54.172692Z","title":"Thompson and Svenja Spanuth","venue":null,"work_id":"8df21cdb-7a1d-4937-b763-d35b75186169","year":2021},"citing_paper":{"arxiv_id":"2503.04771","last_updated":"2025-02-14T13:18:51Z","snapshot_observed_at":"2026-08-23T16:16:26.029035Z","submitted_at":"2025-02-14T13:18:51Z","title":"Building Bridges: Julia as an MLIR Frontend","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T19:15:53.307659Z"},"links":{"citing_paper":"/paper/2503.04771"},"observation_digest":"sha256:9810ab94f4bd71a50f86fef62de2c83adcbbad5e4b518a80de6756e2cec1410b","observation_id":"1206ea18-b8c2-4ef8-a973-fae1c13639bd","resolution":{"observed_at":"2026-08-07T19:15:54.184439Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-07T19:15:54.155340Z","title":"LL VM: A compilation frame- work for lifelong program analysis & transformation","venue":null,"work_id":"f8105f33-a1ec-4135-8c90-25b68c9c2ee5","year":2004},"citing_paper":{"arxiv_id":"2503.04771","last_updated":"2025-02-14T13:18:51Z","snapshot_observed_at":"2026-08-23T16:16:26.029035Z","submitted_at":"2025-02-14T13:18:51Z","title":"Building Bridges: Julia as an MLIR Frontend","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T19:15:53.312982Z"},"links":{"citing_paper":"/paper/2503.04771"},"observation_digest":"sha256:616d582eaf93c0174c0de919de4e588b217e61ad750f5f754a5673c8178c005c","observation_id":"9aadf38b-fd0e-4710-9c59-cbd6bf3843c3","resolution":{"observed_at":"2026-08-07T19:15:54.161047Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-07T19:15:54.138368Z","title":"MLIR: A Compiler Infrastructure for the End of Moore’s Law, February 2020","venue":null,"work_id":"b2afd727-098d-48cf-995f-0eaa1869462f","year":2020},"citing_paper":{"arxiv_id":"2503.04771","last_updated":"2025-02-14T13:18:51Z","snapshot_observed_at":"2026-08-23T16:16:26.029035Z","submitted_at":"2025-02-14T13:18:51Z","title":"Building Bridges: Julia as an MLIR Frontend","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T19:15:53.318613Z"},"links":{"citing_paper":"/paper/2503.04771"},"observation_digest":"sha256:d50fcaf7bf680c1d6a519f2e32f9c00e4b79e0bfe2ec8752f12f6646e53b0e4f","observation_id":"3372e6cd-1543-4b7d-a89e-a09127e9d6c8","resolution":{"observed_at":"2026-08-07T19:15:54.143117Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-07T19:15:54.089367Z","title":null,"venue":null,"work_id":"2dec9661-adc4-43ab-8105-51164a8b5478","year":2019},"citing_paper":{"arxiv_id":"2503.04771","last_updated":"2025-02-14T13:18:51Z","snapshot_observed_at":"2026-08-23T16:16:26.029035Z","submitted_at":"2025-02-14T13:18:51Z","title":"Building Bridges: Julia as an MLIR Frontend","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T19:15:53.324251Z"},"links":{"citing_paper":"/paper/2503.04771"},"observation_digest":"sha256:c254ce87be35c0be5085a8625dbc9dc8ebd15c0cacebf8c7daa382366aa7a008","observation_id":"3c205fb9-b4d2-48ba-bb3c-0fd011bbaa9e","resolution":{"observed_at":"2026-08-07T19:15:54.126349Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-07T19:15:54.012611Z","title":"https://www.modular.com/max/mojo","venue":null,"work_id":"596e4940-718d-4c14-8c37-65e9a9971674","year":null},"citing_paper":{"arxiv_id":"2503.04771","last_updated":"2025-02-14T13:18:51Z","snapshot_observed_at":"2026-08-23T16:16:26.029035Z","submitted_at":"2025-02-14T13:18:51Z","title":"Building Bridges: Julia as an MLIR Frontend","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T19:15:53.329379Z"},"links":{"citing_paper":"/paper/2503.04771"},"observation_digest":"sha256:df1c2aa166dd09c49ed962a380fba1c6e2c8cb111639dfd52ab335ad01e8ccea","observation_id":"35eef608-e84f-4464-b3d0-10ee09f972f2","resolution":{"observed_at":"2026-08-07T19:15:54.051084Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-07T19:15:53.994410Z","title":"PyTorch: An Imperative Style, High- Performance Deep Learning Library, December 2019","venue":null,"work_id":"1736b52c-4dbb-4ba2-b3a2-fcef36db8854","year":2019},"citing_paper":{"arxiv_id":"2503.04771","last_updated":"2025-02-14T13:18:51Z","snapshot_observed_at":"2026-08-23T16:16:26.029035Z","submitted_at":"2025-02-14T13:18:51Z","title":"Building Bridges: Julia as an MLIR Frontend","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T19:15:53.334503Z"},"links":{"citing_paper":"/paper/2503.04771"},"observation_digest":"sha256:761cbee19ab2b3e9be48f502c18d8226c8723e57840c04283df3f3ca32a287ab","observation_id":"d73c21b0-bd6b-436b-8d13-6da300a7c3a3","resolution":{"observed_at":"2026-08-07T19:15:54.000751Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-07T19:15:53.976636Z","title":"Murray, Benoit Steiner, Paul Tucker, Vijay Vasudevan, Pete Warden, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng","venue":null,"work_id":"c236e446-9016-4e61-8a37-d98323688378","year":2016},"citing_paper":{"arxiv_id":"2503.04771","last_updated":"2025-02-14T13:18:51Z","snapshot_observed_at":"2026-08-23T16:16:26.029035Z","submitted_at":"2025-02-14T13:18:51Z","title":"Building Bridges: Julia as an MLIR Frontend","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T19:15:53.338761Z"},"links":{"citing_paper":"/paper/2503.04771"},"observation_digest":"sha256:77a768555499ab2373c2351c4a1ed0271b67918d2192fedd50d74a6641093133","observation_id":"cf97e933-5826-42f8-99c1-5004eab38d97","resolution":{"observed_at":"2026-08-07T19:15:53.982866Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-07T19:15:53.958719Z","title":"MLIR: Multi-Level Intermediate Representation Compiler Infrastructure","venue":null,"work_id":"5c547423-4ff3-4983-9eff-8285a611c387","year":null},"citing_paper":{"arxiv_id":"2503.04771","last_updated":"2025-02-14T13:18:51Z","snapshot_observed_at":"2026-08-23T16:16:26.029035Z","submitted_at":"2025-02-14T13:18:51Z","title":"Building Bridges: Julia as an MLIR Frontend","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T19:15:53.344025Z"},"links":{"citing_paper":"/paper/2503.04771"},"observation_digest":"sha256:59b5bf0379a7d2e2b68a5e47563bf983f584a71f46432a6452a2a74cf19e7dfa","observation_id":"ad0eb52e-232f-41e2-8f75-829a1c50b6e0","resolution":{"observed_at":"2026-08-07T19:15:53.964350Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-07T19:15:53.940624Z","title":"Shah, and Alan Edel- man","venue":null,"work_id":"765963d3-b2f3-40ee-b43a-261b47aa98a8","year":2012},"citing_paper":{"arxiv_id":"2503.04771","last_updated":"2025-02-14T13:18:51Z","snapshot_observed_at":"2026-08-23T16:16:26.029035Z","submitted_at":"2025-02-14T13:18:51Z","title":"Building Bridges: Julia as an MLIR Frontend","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T19:15:53.349023Z"},"links":{"citing_paper":"/paper/2503.04771"},"observation_digest":"sha256:ed084db551921c9e36c063ecd495c74b017d74791798d37b3ccddf5d28e4af73","observation_id":"c9350bd9-20f4-4a81-b1f0-dab94b58a4c1","resolution":{"observed_at":"2026-08-07T19:15:53.946047Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-07T19:15:53.924767Z","title":"Flux: Elegant machine learning with Julia","venue":null,"work_id":"39616472-9715-44c6-9926-3c7da918a226","year":2018},"citing_paper":{"arxiv_id":"2503.04771","last_updated":"2025-02-14T13:18:51Z","snapshot_observed_at":"2026-08-23T16:16:26.029035Z","submitted_at":"2025-02-14T13:18:51Z","title":"Building Bridges: Julia as an MLIR Frontend","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T19:15:53.354489Z"},"links":{"citing_paper":"/paper/2503.04771"},"observation_digest":"sha256:4a5c2e78b885d19a254b6bebf552e25e8b152031c3a2795f1d6587f2201727f4","observation_id":"7e22bb0e-e847-46ba-91c3-4b2e4e2a8166","resolution":{"observed_at":"2026-08-07T19:15:53.929933Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-07T19:15:53.907915Z","title":"Souza, Alan Edelman, and Raffaele Ferrari","venue":null,"work_id":"77585160-08a8-4aed-b068-8000a37a57c6","year":2018},"citing_paper":{"arxiv_id":"2503.04771","last_updated":"2025-02-14T13:18:51Z","snapshot_observed_at":"2026-08-23T16:16:26.029035Z","submitted_at":"2025-02-14T13:18:51Z","title":"Building Bridges: Julia as an MLIR Frontend","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T19:15:53.360190Z"},"links":{"citing_paper":"/paper/2503.04771"},"observation_digest":"sha256:d6fe46086bb315f5adecac2e18c3905d6aa5c9c592a037baced6d767f2c3599d","observation_id":"cc2f02a7-2686-4455-af45-b56ce70db0e8","resolution":{"observed_at":"2026-08-07T19:15:53.912938Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-07T19:15:53.892077Z","title":"JuMP: A Mod- eling Language for Mathematical Optimization","venue":null,"work_id":"93260ca7-1e15-43b6-9a10-9b790f2da9d4","year":2017},"citing_paper":{"arxiv_id":"2503.04771","last_updated":"2025-02-14T13:18:51Z","snapshot_observed_at":"2026-08-23T16:16:26.029035Z","submitted_at":"2025-02-14T13:18:51Z","title":"Building Bridges: Julia as an MLIR Frontend","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T19:15:53.365841Z"},"links":{"citing_paper":"/paper/2503.04771"},"observation_digest":"sha256:6699ccce8a45d04082abb70d00a452a3cdb3e734914ee25c7e72cbf659af310d","observation_id":"a93b68d9-6684-4340-971d-21046dde0e87","resolution":{"observed_at":"2026-08-07T19:15:53.896845Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-07T19:15:53.877181Z","title":"Effective Extensible Programming: Unleashing Julia on GPUs","venue":null,"work_id":"f7c2b744-8851-474b-9664-1473e7144881","year":2019},"citing_paper":{"arxiv_id":"2503.04771","last_updated":"2025-02-14T13:18:51Z","snapshot_observed_at":"2026-08-23T16:16:26.029035Z","submitted_at":"2025-02-14T13:18:51Z","title":"Building Bridges: Julia as an MLIR Frontend","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T19:15:53.370636Z"},"links":{"citing_paper":"/paper/2503.04771"},"observation_digest":"sha256:8d4eec5fcba3bc069b7dba9514e6490b5543e813e71f005d62664a67b4a62ed6","observation_id":"e19fd55c-7a47-4407-a293-03f09f6cb284","resolution":{"observed_at":"2026-08-07T19:15:53.881873Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-07T19:15:53.861178Z","title":"DifferentialEquations.jl – A Performant and Feature-Rich Ecosystem for Solving Differential Equations in Julia","venue":null,"work_id":"4645d3a6-529a-4f90-9bef-063a7b6aac3b","year":2017},"citing_paper":{"arxiv_id":"2503.04771","last_updated":"2025-02-14T13:18:51Z","snapshot_observed_at":"2026-08-23T16:16:26.029035Z","submitted_at":"2025-02-14T13:18:51Z","title":"Building Bridges: Julia as an MLIR Frontend","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T19:15:53.375452Z"},"links":{"citing_paper":"/paper/2503.04771"},"observation_digest":"sha256:e25c62e65b09fb24d1847d33c57cf86ace2eae56e1a641ef3a3dc2198ee5d54a","observation_id":"8bf6e287-801b-469c-ab6d-7de4eb740c29","resolution":{"observed_at":"2026-08-07T19:15:53.867167Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-07T19:15:53.845577Z","title":"Shah, Jeffrey Werner Bezanson, and Alan Edelman","venue":null,"work_id":"9ab8e593-4149-485e-a346-22428e0775b2","year":2017},"citing_paper":{"arxiv_id":"2503.04771","last_updated":"2025-02-14T13:18:51Z","snapshot_observed_at":"2026-08-23T16:16:26.029035Z","submitted_at":"2025-02-14T13:18:51Z","title":"Building Bridges: Julia as an MLIR Frontend","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T19:15:53.380680Z"},"links":{"citing_paper":"/paper/2503.04771"},"observation_digest":"sha256:e061eabfca9f8d6cedd14cf553c12658c6ce2e8ec5f7dbf036757bc729c0923e","observation_id":"6112b62d-af6b-436c-a0c2-0ac80fdd107b","resolution":{"observed_at":"2026-08-07T19:15:53.850223Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-07T19:15:53.830434Z","title":"JuliaDiff, May 2024","venue":null,"work_id":"e652a2e4-b1c7-4542-a73b-b7248387c7bf","year":2024},"citing_paper":{"arxiv_id":"2503.04771","last_updated":"2025-02-14T13:18:51Z","snapshot_observed_at":"2026-08-23T16:16:26.029035Z","submitted_at":"2025-02-14T13:18:51Z","title":"Building Bridges: Julia as an MLIR Frontend","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T19:15:53.385566Z"},"links":{"citing_paper":"/paper/2503.04771"},"observation_digest":"sha256:a13c94359470be2f39e79a66e376da16f9f69329f80c5ca722d22f720380c871","observation_id":"57af8c14-ce6f-4489-a892-67daeda406de","resolution":{"observed_at":"2026-08-07T19:15:53.835140Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-07T19:15:53.815494Z","title":"withbayes, May 2024","venue":null,"work_id":"160f0e9c-e086-4f71-8afb-41855d856e69","year":2024},"citing_paper":{"arxiv_id":"2503.04771","last_updated":"2025-02-14T13:18:51Z","snapshot_observed_at":"2026-08-23T16:16:26.029035Z","submitted_at":"2025-02-14T13:18:51Z","title":"Building Bridges: Julia as an MLIR Frontend","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T19:15:53.390392Z"},"links":{"citing_paper":"/paper/2503.04771"},"observation_digest":"sha256:affeddbfc324107fc2f484b12a2b4264fce01d541f4a293e0bf7bacb55ebe57d","observation_id":"470b7b1d-e5ab-49fe-8125-f3802da2b685","resolution":{"observed_at":"2026-08-07T19:15:53.820056Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-07T19:15:53.800042Z","title":"A viatesk/JET.jl, April 2024","venue":null,"work_id":"83d34abc-128d-4911-b596-dbd2b98520b0","year":2024},"citing_paper":{"arxiv_id":"2503.04771","last_updated":"2025-02-14T13:18:51Z","snapshot_observed_at":"2026-08-23T16:16:26.029035Z","submitted_at":"2025-02-14T13:18:51Z","title":"Building Bridges: Julia as an MLIR Frontend","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T19:15:53.395948Z"},"links":{"citing_paper":"/paper/2503.04771"},"observation_digest":"sha256:1217c534eb0744da40cc9c4a6a933fa6b0dc9e0cdaa29d88a66fd945bb349c4f","observation_id":"8c95c1d9-c70a-4466-a3ea-3cf77fe76d9f","resolution":{"observed_at":"2026-08-07T19:15:53.804702Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-07T19:15:53.784135Z","title":"Google, February 2024","venue":null,"work_id":"a964fc41-c754-4ad5-88c9-a46e8e907d24","year":2024},"citing_paper":{"arxiv_id":"2503.04771","last_updated":"2025-02-14T13:18:51Z","snapshot_observed_at":"2026-08-23T16:16:26.029035Z","submitted_at":"2025-02-14T13:18:51Z","title":"Building Bridges: Julia as an MLIR Frontend","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T19:15:53.400952Z"},"links":{"citing_paper":"/paper/2503.04771"},"observation_digest":"sha256:d853c408cd3b06ffa5c7a893e2d89388caa56428c21306586aaa86f1020e64c5","observation_id":"7160b03e-7ab8-4e63-aa29-af087bcbde42","resolution":{"observed_at":"2026-08-07T19:15:53.788971Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-07T19:15:53.768854Z","title":"Beaver, March 2024","venue":null,"work_id":"56d6bd4e-6b56-429f-8897-bec6b919f5dd","year":2024},"citing_paper":{"arxiv_id":"2503.04771","last_updated":"2025-02-14T13:18:51Z","snapshot_observed_at":"2026-08-23T16:16:26.029035Z","submitted_at":"2025-02-14T13:18:51Z","title":"Building Bridges: Julia as an MLIR Frontend","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T19:15:53.406080Z"},"links":{"citing_paper":"/paper/2503.04771"},"observation_digest":"sha256:a068ba0c0fba1e6da3fbe4e2b35829a743d53ff1f0cc74a88aa12b427b07c7b9","observation_id":"9d8486a7-d201-4258-ab92-5d08c331626d","resolution":{"observed_at":"2026-08-07T19:15:53.773678Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-07T19:15:53.753561Z","title":"Julia Lab at MIT CSAIL, March 2024","venue":null,"work_id":"b0c9a0e1-8694-4db1-b47c-3cc026f46371","year":2024},"citing_paper":{"arxiv_id":"2503.04771","last_updated":"2025-02-14T13:18:51Z","snapshot_observed_at":"2026-08-23T16:16:26.029035Z","submitted_at":"2025-02-14T13:18:51Z","title":"Building Bridges: Julia as an MLIR Frontend","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T19:15:53.410346Z"},"links":{"citing_paper":"/paper/2503.04771"},"observation_digest":"sha256:55714c741c77322e382006680a2d88ecf0e019e4c302543c07a8ac3550fb5097","observation_id":"bec2c16b-4e17-4904-8a43-a5550d17b22b","resolution":{"observed_at":"2026-08-07T19:15:53.758512Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-07T19:15:53.737254Z","title":"https://microsoft.github.io/Accera/","venue":null,"work_id":"4351189f-cb5d-4ea2-970f-2ad8e13f1100","year":null},"citing_paper":{"arxiv_id":"2503.04771","last_updated":"2025-02-14T13:18:51Z","snapshot_observed_at":"2026-08-23T16:16:26.029035Z","submitted_at":"2025-02-14T13:18:51Z","title":"Building Bridges: Julia as an MLIR Frontend","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T19:15:53.415461Z"},"links":{"citing_paper":"/paper/2503.04771"},"observation_digest":"sha256:db4bf8302176959cd425094c0ff50ed10871f95822a82a1dc9c3ebbd2869e0e5","observation_id":"f5bf04f7-13fd-4977-9182-9a1bc635d5a2","resolution":{"observed_at":"2026-08-07T19:15:53.743040Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-07T19:15:53.721213Z","title":"Btor2MLIR: A Format and Toolchain for Hardware Verification, September 2023","venue":null,"work_id":"e315aea4-8dee-48b1-89d9-0067072ae66e","year":2023},"citing_paper":{"arxiv_id":"2503.04771","last_updated":"2025-02-14T13:18:51Z","snapshot_observed_at":"2026-08-23T16:16:26.029035Z","submitted_at":"2025-02-14T13:18:51Z","title":"Building Bridges: Julia as an MLIR Frontend","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T19:15:53.420129Z"},"links":{"citing_paper":"/paper/2503.04771"},"observation_digest":"sha256:fd7d50fdbca228e604d971dbe7cda1d63c45fb6bfc4e287c3784b429945fef24","observation_id":"7e7c9c53-33c9-4a94-9f58-ca5aba33f0fb","resolution":{"observed_at":"2026-08-07T19:15:53.727249Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-07T19:15:53.704972Z","title":"PennyLaneAI, April 2024","venue":null,"work_id":"3ef39c6a-3359-4465-ad9a-7fb63b2c978e","year":2024},"citing_paper":{"arxiv_id":"2503.04771","last_updated":"2025-02-14T13:18:51Z","snapshot_observed_at":"2026-08-23T16:16:26.029035Z","submitted_at":"2025-02-14T13:18:51Z","title":"Building Bridges: Julia as an MLIR Frontend","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T19:15:53.424860Z"},"links":{"citing_paper":"/paper/2503.04771"},"observation_digest":"sha256:940ea426becbc0051ecb7ff9e7c7450381fb2ef02af36fc0252b292e769ed513","observation_id":"50f5229c-962b-43e8-b24b-67860d07f244","resolution":{"observed_at":"2026-08-07T19:15:53.710221Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-07T19:15:53.688252Z","title":"Designing an open framework for query optimization and compilation","venue":null,"work_id":"da96e2d9-3a3a-41f6-9551-dc7f892789d5","year":2022},"citing_paper":{"arxiv_id":"2503.04771","last_updated":"2025-02-14T13:18:51Z","snapshot_observed_at":"2026-08-23T16:16:26.029035Z","submitted_at":"2025-02-14T13:18:51Z","title":"Building Bridges: Julia as an MLIR Frontend","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T19:15:53.430213Z"},"links":{"citing_paper":"/paper/2503.04771"},"observation_digest":"sha256:ff4cb418d9d1fc7e1b5500e28360eef95e233e2fbeff734e91b74c3179db33c3","observation_id":"9c77a44c-b7df-4f16-8a71-bce3d76ee718","resolution":{"observed_at":"2026-08-07T19:15:53.693698Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-07T19:15:53.670930Z","title":"Nelli: A lightweight frontend for MLIR","venue":null,"work_id":"6f3d9ac5-a7c8-4bf2-8a4c-5f21957a3b4d","year":2023},"citing_paper":{"arxiv_id":"2503.04771","last_updated":"2025-02-14T13:18:51Z","snapshot_observed_at":"2026-08-23T16:16:26.029035Z","submitted_at":"2025-02-14T13:18:51Z","title":"Building Bridges: Julia as an MLIR Frontend","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T19:15:53.435193Z"},"links":{"citing_paper":"/paper/2503.04771"},"observation_digest":"sha256:35ad44e416bd9a274756dc0565caf170fedd61be7396dfc7eb23f5795b5660ba","observation_id":"114dda21-f44b-418c-b209-1a1dec53403c","resolution":{"observed_at":"2026-08-07T19:15:53.676315Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-07T19:15:53.654647Z","title":"White, and E","venue":null,"work_id":"a3522a78-71b9-48f7-b190-5916e4672b2e","year":2022},"citing_paper":{"arxiv_id":"2503.04771","last_updated":"2025-02-14T13:18:51Z","snapshot_observed_at":"2026-08-23T16:16:26.029035Z","submitted_at":"2025-02-14T13:18:51Z","title":"Building Bridges: Julia as an MLIR Frontend","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T19:15:53.440317Z"},"links":{"citing_paper":"/paper/2503.04771"},"observation_digest":"sha256:af6c7e3fe354dc7233eb75655f4802bbbb7741914443624eab5899ad2d33dd50","observation_id":"0509bf66-94a3-4d56-9a46-81ee1adf526d","resolution":{"observed_at":"2026-08-07T19:15:53.660166Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-07T19:15:53.637510Z","title":"Moses, Sven Ver- doolaege, Andrew Adams, and Albert Cohen","venue":null,"work_id":"d943bd42-e182-4639-9689-e356a845516f","year":2018},"citing_paper":{"arxiv_id":"2503.04771","last_updated":"2025-02-14T13:18:51Z","snapshot_observed_at":"2026-08-23T16:16:26.029035Z","submitted_at":"2025-02-14T13:18:51Z","title":"Building Bridges: Julia as an MLIR Frontend","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T19:15:53.445372Z"},"links":{"citing_paper":"/paper/2503.04771"},"observation_digest":"sha256:2ed173ee80d292915bc6bb28c82ffa60f61c31fe37fd6a74a0a414bc99362f47","observation_id":"ee356cbd-e5b9-4a76-a23e-927e2fec1b48","resolution":{"observed_at":"2026-08-07T19:15:53.643408Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-07T19:15:53.621534Z","title":"Halide: A language and compiler for optimizing parallelism, locality, and recomputation in image processing pipelines","venue":null,"work_id":"2b4e3872-e6b3-447a-99d3-d21b6f55b201","year":2013},"citing_paper":{"arxiv_id":"2503.04771","last_updated":"2025-02-14T13:18:51Z","snapshot_observed_at":"2026-08-23T16:16:26.029035Z","submitted_at":"2025-02-14T13:18:51Z","title":"Building Bridges: Julia as an MLIR Frontend","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T19:15:53.450608Z"},"links":{"citing_paper":"/paper/2503.04771"},"observation_digest":"sha256:94f154462f0fcedb7e710036fc6ae62447bb592acad0409a82966e69269e9408","observation_id":"8b1ae165-aa54-472c-ad0f-06e6e64daccc","resolution":{"observed_at":"2026-08-07T19:15:53.626678Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-07T19:15:53.602746Z","title":"https://mlir.llvm.org/docs/Tutorials/transform/ChH/","venue":null,"work_id":"f78ea000-b095-4c5a-a8cf-3dceff2dc7f4","year":null},"citing_paper":{"arxiv_id":"2503.04771","last_updated":"2025-02-14T13:18:51Z","snapshot_observed_at":"2026-08-23T16:16:26.029035Z","submitted_at":"2025-02-14T13:18:51Z","title":"Building Bridges: Julia as an MLIR Frontend","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T19:15:53.456821Z"},"links":{"citing_paper":"/paper/2503.04771"},"observation_digest":"sha256:e2b46a48542b23376995c26b823865f0c421e2489ec0d347b1b9bd471bec966d","observation_id":"de6e15b8-d1e8-4eb1-b192-24fbc1afe007","resolution":{"observed_at":"2026-08-07T19:15:53.608719Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-07T19:15:53.584411Z","title":"MLIR-based code generation for GPU tensor cores","venue":null,"work_id":"c8eb7ded-e636-4158-a26f-fa487b51664d","year":2022},"citing_paper":{"arxiv_id":"2503.04771","last_updated":"2025-02-14T13:18:51Z","snapshot_observed_at":"2026-08-23T16:16:26.029035Z","submitted_at":"2025-02-14T13:18:51Z","title":"Building Bridges: Julia as an MLIR Frontend","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T19:15:53.462285Z"},"links":{"citing_paper":"/paper/2503.04771"},"observation_digest":"sha256:4679b76fccffb341998e112c6609f62b2cb9891de9e5688dc49b408da75820ea","observation_id":"d8584afa-dedc-40d8-b6a3-cd3f9942e5b6","resolution":{"observed_at":"2026-08-07T19:15:53.590552Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-07T19:15:53.567612Z","title":"https://developer.nvidia.com/cuda-toolkit","venue":null,"work_id":"20317ce0-b3f6-4be1-a540-d60ecde89d6a","year":null},"citing_paper":{"arxiv_id":"2503.04771","last_updated":"2025-02-14T13:18:51Z","snapshot_observed_at":"2026-08-23T16:16:26.029035Z","submitted_at":"2025-02-14T13:18:51Z","title":"Building Bridges: Julia as an MLIR Frontend","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T19:15:53.467544Z"},"links":{"citing_paper":"/paper/2503.04771"},"observation_digest":"sha256:3766f2cda07caf4f87450e2239119ea4b27df956d417ad002f9e256f76556b19","observation_id":"7ac663c7-36f6-4768-a5cc-e82ffcebe52f","resolution":{"observed_at":"2026-08-07T19:15:53.573266Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-07T19:15:53.550287Z","title":"https://www.amd.com/en/products/software/rocm.html","venue":null,"work_id":"2cb6a464-b6bf-43e8-95ec-e5e2a760529f","year":null},"citing_paper":{"arxiv_id":"2503.04771","last_updated":"2025-02-14T13:18:51Z","snapshot_observed_at":"2026-08-23T16:16:26.029035Z","submitted_at":"2025-02-14T13:18:51Z","title":"Building Bridges: Julia as an MLIR Frontend","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T19:15:53.472184Z"},"links":{"citing_paper":"/paper/2503.04771"},"observation_digest":"sha256:05068ae748cab8f6e767328a7d6df39a0131beaecaaba81521b3a9ccd9add8e8","observation_id":"051e4298-4550-414b-b571-e3082ae9425a","resolution":{"observed_at":"2026-08-07T19:15:53.555602Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-07T19:15:53.533967Z","title":"https://www.khronos.org//, July 2013","venue":null,"work_id":"f3f1538e-1d53-4937-a418-91017fb4ef72","year":2013},"citing_paper":{"arxiv_id":"2503.04771","last_updated":"2025-02-14T13:18:51Z","snapshot_observed_at":"2026-08-23T16:16:26.029035Z","submitted_at":"2025-02-14T13:18:51Z","title":"Building Bridges: Julia as an MLIR Frontend","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T19:15:53.477440Z"},"links":{"citing_paper":"/paper/2503.04771"},"observation_digest":"sha256:a8358ad3b700cebee03af1a8c9dfd5632ba2950006dd3e52d474075459fa1150","observation_id":"8630c027-4346-423c-9f8d-dc425aabd0ef","resolution":{"observed_at":"2026-08-07T19:15:53.539235Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-07T19:15:53.514946Z","title":"Constantinou, Max Ng, Carsten Bauer, Michel Schanen, john- bcoughlin, Viral B","venue":null,"work_id":"9fe65777-6903-4a8a-b332-3c7d45df3787","year":2024},"citing_paper":{"arxiv_id":"2503.04771","last_updated":"2025-02-14T13:18:51Z","snapshot_observed_at":"2026-08-23T16:16:26.029035Z","submitted_at":"2025-02-14T13:18:51Z","title":"Building Bridges: Julia as an MLIR Frontend","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T19:15:53.482434Z"},"links":{"citing_paper":"/paper/2503.04771"},"observation_digest":"sha256:5d647aa66ce9607d9a6cb20c7b8d864133714c7064910fdfdb773aa8fba42419","observation_id":"86828e7e-5f33-4113-907c-0a546a56584f","resolution":{"observed_at":"2026-08-07T19:15:53.521712Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2503.04771","last_updated":"2025-02-14T13:18:51Z","latest_version":1,"primary_category":"cs.PL","snapshot_observed_at":"2026-08-23T16:16:26.029035Z","submitted_at":"2025-02-14T13:18:51Z","title":"Building Bridges: Julia as an MLIR Frontend"},"reference_resolution":{"displayed":35,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":1,"verified_exact":0,"verified_fuzzy":34},"total_outbound_references":35},"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":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"thesis":"As of 24 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2503.04771."}