{"as_of":"2026-08-12T03:06:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:40e35f2d5b380a89506b85766fb008aa210daceedca3cf96a1e7cc0d6cc583d5","coverage":[{"denominator":78,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":78,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T01:52:56.470380Z","state":"measured"},{"denominator":78,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":78,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+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/2607.25651/citation-record","integrity":"/paper/2607.25651/integrity","json":"/paper/2607.25651/citation-record.json","paper":"/paper/2607.25651"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T01:52:56.235997Z","title":"Murray, Benoit Steiner, Paul Tucker, Vijay Vasudevan, Pete Warden, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.235997Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:8d6af15fbc9d2732e4deedb6f6ff2a403e0913474f8ca66704abddbc0646c252","observation_id":"b7cd17ee-3373-4177-b85a-5dd6fd62b275","resolution":{"observed_at":"2026-08-01T01:52:56.235997Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T01:52:56.240330Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.240330Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:4ee0c64e6154f8f7e43bae2caa3c48d5bf8a367ab9bcbd19099a2671a2c097f6","observation_id":"c302c294-fd5d-4c29-a9bf-b02ab855e3d7","resolution":{"observed_at":"2026-08-01T01:52:56.240330Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T01:52:56.243761Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.243761Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:27718cbf0c579c230fb8727842859f15c8547e27189bbc990e043daae68ec8a2","observation_id":"56980be1-d316-4a75-989b-fc40c723a697","resolution":{"observed_at":"2026-08-01T01:52:56.243761Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T01:52:56.247085Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.247085Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:ba2f282711f82bf3643cd59d2d951e0429c44cce840967dc27ad98385f572573","observation_id":"40552433-2e5c-4e65-b9b2-5e6a5f8d1491","resolution":{"observed_at":"2026-08-01T01:52:56.247085Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T01:52:56.250758Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.250758Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:b8e95021dc28997fa7ab48c5f5dce3ad553d8ca351af0330ed7c530942e7a0c8","observation_id":"5740112b-3ad8-4428-b423-8d104a6478d9","resolution":{"observed_at":"2026-08-01T01:52:56.250758Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T01:52:56.257705Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.257705Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:6df4713059b6b1c80650764583e5507e89a0948bacc1eccaea0de6c1cc928f67","observation_id":"c88b8dbf-357d-48c8-9047-b31e25aa3eca","resolution":{"observed_at":"2026-08-01T01:52:56.257705Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T01:52:56.260794Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.260794Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:fdb3351614d294e101efebbb9ea54a19c92515269264db9497b2bde544a48a79","observation_id":"8689b3d7-5add-4659-9d62-fa8ac9beaf3d","resolution":{"observed_at":"2026-08-01T01:52:56.260794Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T01:52:56.263922Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.263922Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:9deaccb9306a687bec1c8e0f27549ba3bbfc0caa150c15e732c5c216721388b9","observation_id":"62f3d22d-2b6d-43da-817d-50e93a283569","resolution":{"observed_at":"2026-08-01T01:52:56.263922Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T01:52:56.267258Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.267258Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:fe554f10a8563225718892e1b643347805e1304e133ad5ad287f285b48d7ab6b","observation_id":"e68cf36d-e1e1-4ad0-9992-e99582645412","resolution":{"observed_at":"2026-08-01T01:52:56.267258Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T01:52:56.270373Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.270373Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:229439b27b991d178af7d8f2ef8fc919c86fa379659147e065483d828d378e1b","observation_id":"ae80ee8f-2582-4dc5-9dd1-da3512e80b95","resolution":{"observed_at":"2026-08-01T01:52:56.270373Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T01:52:56.273322Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.273322Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:9d3493b0c3ea8fe6d2ae272a813df5a30e1da8e0fc46de03038059de39b592b5","observation_id":"394bb73d-ca2f-4a49-8fe3-f76173cadb2e","resolution":{"observed_at":"2026-08-01T01:52:56.273322Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T01:52:56.276142Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.276142Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:b88823ca1a6c60e60812ce6f3ab1795cb0026b169a1814ab39a8a35dfc140577","observation_id":"ddf6ff8e-c6ad-4ec4-a18f-9e1fcd48c588","resolution":{"observed_at":"2026-08-01T01:52:56.276142Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T01:52:56.279098Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.279098Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:59fd77c61c3d20d6aeb0b1240572cfb7a30c8d23c6454a44d89f2c03ea953cda","observation_id":"8c37a4c6-8be2-4873-99f4-77499e73eb07","resolution":{"observed_at":"2026-08-01T01:52:56.279098Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T01:52:56.281771Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.281771Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:0c4f3c4695f96c106b1187a4e736e40f62df2ec5684ac6405623ae029f604998","observation_id":"da6dfad8-9322-43d9-99f8-52cdd0386290","resolution":{"observed_at":"2026-08-01T01:52:56.281771Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T01:52:56.284488Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.284488Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:8ebe49b6e06c28a79f49a9889506d2e9943dd871eb567701c015b429fd6cc0b9","observation_id":"47676b2d-937b-438a-99de-a7f15f5d694f","resolution":{"observed_at":"2026-08-01T01:52:56.284488Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T01:52:56.287243Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.287243Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:57ae00a8b91e7d388483043d36d02d08d9a5e2b3f0b7720467d41ffccffbb46c","observation_id":"fb090497-f0b9-4090-b4af-fefc79633892","resolution":{"observed_at":"2026-08-01T01:52:56.287243Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T01:52:56.290059Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.290059Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:1bd3aa802c9e10f91b935b662c01209bb1f61e9168df86b38b22b7f307beda6a","observation_id":"c374361a-607c-47f1-be51-37602e476c8c","resolution":{"observed_at":"2026-08-01T01:52:56.290059Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T01:52:56.293005Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.293005Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:7d823f31ebf7d47d4251554d03ba030f72b317ca1d56e090b4ca0a28f38ec51f","observation_id":"a0521d61-a4b6-46ac-ac0c-d1d99685f109","resolution":{"observed_at":"2026-08-01T01:52:56.293005Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T01:52:56.295761Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.295761Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:9eb878e6dd2ca2ad3963798c6ee28dd3946c72c4fc59e3a0bb6d0114cef007ab","observation_id":"c199c7fb-5201-4642-8aa0-44e14d150f55","resolution":{"observed_at":"2026-08-01T01:52:56.295761Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T01:52:56.298418Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.298418Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:6cc67c15111a3a031e683495609fd498e54ea36ee00e7b8f1650f9781987d6ed","observation_id":"f22b15a2-a943-4ffe-bd17-59cd568912a6","resolution":{"observed_at":"2026-08-01T01:52:56.298418Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T01:52:56.301194Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.301194Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:5424fe6f2545481b07f6dd85d4a8d1bfb73b020dba998fe2add30e48fe3fbfb1","observation_id":"78b1628b-c773-4b8d-ae3e-fb8b01734f7a","resolution":{"observed_at":"2026-08-01T01:52:56.301194Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T01:52:56.303955Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.303955Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:a132cf18079d64a0d444123960211550718150776a48e61fdbc5958f73dc1dc9","observation_id":"9161461b-f289-48d6-9b7a-f7a1c922fc30","resolution":{"observed_at":"2026-08-01T01:52:56.303955Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T01:52:56.306750Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.306750Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:a056d451051fe4a5d64660930081de216481f287fef2a960b932eda71b76a774","observation_id":"bea6f3c3-69bc-4dfb-92ee-13dad1094b0c","resolution":{"observed_at":"2026-08-01T01:52:56.306750Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1801.08058","last_updated":"2018-01-30T00:14:49Z","snapshot_observed_at":"2026-08-11T03:37:33.795177Z","submitted_at":"2018-01-24T16:17:53Z","title":"Intel nGraph: An Intermediate Representation, Compiler, and Executor for Deep Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1801.08058","snapshot_observed_at":"2026-08-01T01:52:56.309590Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.309590Z"},"links":{"cited_paper":"/paper/1801.08058","citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:6d172d38175d5190f8c984abfb54c5d38a7bbb4db17af50aadd672b8ce4889b3","observation_id":"e1975160-594f-4e43-84a4-53cf360e70de","resolution":{"observed_at":"2026-08-01T01:52:56.309590Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T01:52:56.312763Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.312763Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:0ab4877a72704d6b7cebb04e1b44aabe869ca77e2a9f5b031e412a6b1ffcb508","observation_id":"46ccf3fd-c917-45ba-8e03-bc327ce2372b","resolution":{"observed_at":"2026-08-01T01:52:56.312763Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T01:52:56.315663Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.315663Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:ca67d982d3bbaa4ede78d20ebb4b5c2a1d35c2e6dfce17ddf98009eece1e6f33","observation_id":"53793c58-8a29-4230-83fa-cd14556c2eda","resolution":{"observed_at":"2026-08-01T01:52:56.315663Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1145/3774889","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"ACM Transactions on Software Engineering and Methodology","work_id":"f91c53d4-51b8-41b2-bd82-db5771f9af57","year":2025},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.321261Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:f2c95e5036c3ef8530aa70ef7c4489444462bb0e91b6542334c19e63d5863345","observation_id":"b0cbf118-8c53-4f9a-bed2-26c11831ad60","resolution":{"observed_at":"2026-08-01T01:56:15.644888Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T01:52:56.323988Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.323988Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:0bd85122f6f56854b54fd6fbad42ee108bab1e5dc5104041fd1c0ddb470d911c","observation_id":"a8baa578-6582-45ae-b3f0-ec0f0bfbc08e","resolution":{"observed_at":"2026-08-01T01:52:56.323988Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T01:52:56.326750Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.326750Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:0cdabf12b1718aa2af8aa89956d10913b2425502abb2b1051172e94b4bf77550","observation_id":"5a2480bb-8050-4f62-97cf-5b3cf1415e83","resolution":{"observed_at":"2026-08-01T01:52:56.326750Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T01:52:56.329388Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.329388Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:dc342dee96499c60a12e69d80b7ed3cb73bb6cff46745942e686315559cfce59","observation_id":"beff03b7-e773-4849-bfd7-da22d745513b","resolution":{"observed_at":"2026-08-01T01:52:56.329388Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T01:52:56.332039Z","title":null,"venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.332039Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:65bdb11a078a7d19eb386c9792fc1a3d16f508feea9e10675ac273b800efff2f","observation_id":"1a396de9-d784-4967-b65f-a923e4d73a61","resolution":{"observed_at":"2026-08-01T01:52:56.332039Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1145/3715102","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"ACM Transactions on Computer Systems","work_id":"cd7884e6-2688-49c5-a95c-b3d440d21288","year":2025},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.334659Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:7a4727859c8aeaed4702a1d0e1330e8bdb5acb2eb9dc6123f45eae2f1f2d09b2","observation_id":"aeebc740-9271-4c64-8fae-f6bcb9df1ed1","resolution":{"observed_at":"2026-08-01T01:56:15.554250Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1145/3583566","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"ACM Transactions on Software Engineering and Methodology","work_id":"99158481-a553-4130-9ed6-2ec5813dc093","year":2023},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.337378Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:59dbe851336295305398a54b3b2983143eaa0f8c03fc2b8ec5eeca2addb4d0c7","observation_id":"6fc1f9dc-e9a3-42f4-90e0-e32d7418cd97","resolution":{"observed_at":"2026-08-01T01:56:15.457759Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1145/3660767","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Liang, Carmen Badea, Christian Bird, Robert DeLine, Denae Ford, Nicole Forsgren, and Thomas Zimmermann","venue":"Proceedings of the ACM on software engineering.","work_id":"05906daf-5246-4e63-9b5c-1e193df8556c","year":2024},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.339996Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:797009a3c9c96bfbee7ce2d2bb1adeaa0fe4e3b990e8aea03bdb0c1761342930","observation_id":"be585bcb-018d-479b-a99d-c10891a3e97b","resolution":{"observed_at":"2026-08-01T01:56:15.398276Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T01:52:56.342711Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.342711Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:96d46dfb15cd809f7dcb28185d1a533ea11f11a0503aff52589a39e9da71cacb","observation_id":"a84b5bea-e7c4-4f2c-bdd1-30ec89b4b85b","resolution":{"observed_at":"2026-08-01T01:52:56.342711Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T01:52:56.348909Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.348909Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:debed97552f288a63ba9c29288aedb122650ff94d2b57c5f662df3354e1e9531","observation_id":"e1fa20b9-c979-40f9-87be-c0ff22db6367","resolution":{"observed_at":"2026-08-01T01:52:56.348909Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T01:52:56.352167Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.352167Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:1fceae65f6086f23867d8ad65f6b5e98d3fb04a706cfbb27e7f661b55b57e727","observation_id":"b8f46c0f-c340-4184-a375-30e4330147da","resolution":{"observed_at":"2026-08-01T01:52:56.352167Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T01:52:56.355529Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.355529Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:fde6bb022dbdd59558f3ea8ea2cc26ddb1606af5cc28633511b273479a18ce26","observation_id":"96219cee-c5a2-4d41-b89d-57f518498481","resolution":{"observed_at":"2026-08-01T01:52:56.355529Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T01:52:56.358653Z","title":"Lopes, Juneyoung Lee, Chung-Kil Hur, Zhengyang Liu, and John Regehr","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.358653Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:f5b22884213c42f93f27b237d2952196f4cf66bc9e0ee996f30ac3ffec1d5dc5","observation_id":"19951e4f-bc7c-46b9-9d8a-1f5c9a87f27a","resolution":{"observed_at":"2026-08-01T01:52:56.358653Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T01:52:56.364853Z","title":"McKeeman","venue":null,"work_id":null,"year":1998},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.364853Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:1cbef5d1b7d62b1b2ecbc5f4407a11cf82f6e6484b5bc70dc04dd5e57df7c886","observation_id":"70e890ea-9361-4657-8456-2d17888cffae","resolution":{"observed_at":"2026-08-01T01:52:56.364853Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T01:52:56.368004Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.368004Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:b5b39c70f6927b9e0aec626191eeb9d7ec0373918a8acaaceedbc84502b3d8f9","observation_id":"904747c8-03bc-4e2e-ada8-516750537289","resolution":{"observed_at":"2026-08-01T01:52:56.368004Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2601.03267","last_updated":"2026-05-01T23:55:43Z","snapshot_observed_at":"2026-08-02T10:52:10.211700Z","submitted_at":"2025-12-19T07:05:38Z","title":"OpenAI GPT-5 System Card","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2601.03267","snapshot_observed_at":"2026-08-01T01:52:56.370820Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.370820Z"},"links":{"cited_paper":"/paper/2601.03267","citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:8d92700e36dd02c9a5534fdc8dac90ed802c56f3b982e283f52715440011f41b","observation_id":"ece8ec88-8cac-405b-9696-368edcb404b1","resolution":{"observed_at":"2026-08-01T01:52:56.370820Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T01:52:56.374060Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.374060Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:de8eafb3e83a3c078dec2ed66cc1091e5fdd212bc73d5c522082efa5545c88ce","observation_id":"1e98b1ca-5c61-4eec-a590-874788b3f4fa","resolution":{"observed_at":"2026-08-01T01:52:56.374060Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T01:52:56.376949Z","title":"2019.PyTorch: an imperative style, high-performance deep learning library","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.376949Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:3d4acfe9991596d3d8026103a83247e600f911f2dc8b0c40bd15be00fa96d033","observation_id":"8b25dedf-6b99-46f9-9bc3-d7f1a3169c37","resolution":{"observed_at":"2026-08-01T01:52:56.376949Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T01:52:56.379842Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.379842Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:ef637f4073298927b1ca67753d374a69438b919f2c94da134db8531a306bfb40","observation_id":"6378745f-70b9-4a28-b495-26a42fb18022","resolution":{"observed_at":"2026-08-01T01:52:56.379842Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T01:52:56.382529Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.382529Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:058f4e766393ec93442892b8731ed73eec3a418cb54f7f35bbec2770e7d2f561","observation_id":"d6362465-0559-4085-ae73-1ed17c179854","resolution":{"observed_at":"2026-08-01T01:52:56.382529Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T01:52:56.385440Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.385440Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:a6b08bf4420ef75983bee5fd4956a96b84329e8bdf1e1c7db794a48fd8b9d3af","observation_id":"ed5baa17-7d08-4b3a-b310-4d141fef6d16","resolution":{"observed_at":"2026-08-01T01:52:56.385440Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1805.00907","last_updated":"2019-04-03T19:54:50Z","snapshot_observed_at":"2026-08-11T08:21:12.539465Z","submitted_at":"2018-05-02T17:04:53Z","title":"Glow: Graph Lowering Compiler Techniques for Neural Networks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1805.00907","snapshot_observed_at":"2026-08-01T01:52:56.388198Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.388198Z"},"links":{"cited_paper":"/paper/1805.00907","citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:df35a0c84f4a8456f5bf0e449d2701fc0569bc003e367deab43c43b3bfb1a2f4","observation_id":"0b9d43e0-a3cb-4a1c-b813-510d1b2ceb20","resolution":{"observed_at":"2026-08-01T01:52:56.388198Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T01:52:56.391376Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.391376Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:0bcce4f494e13361bec19616060d672816c3032ae9d346eef7559317c954a12c","observation_id":"b1cc4d0e-eeb0-4e1f-a25b-19b0dd2b84f2","resolution":{"observed_at":"2026-08-01T01:52:56.391376Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T01:52:56.394306Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.394306Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:b6ab4a9090eb6abf85075a757cafc0a5abe95fbe77a3637d13d7eb8d590596dd","observation_id":"6f5a6b54-c8e5-4c83-b362-288573bff15e","resolution":{"observed_at":"2026-08-01T01:52:56.394306Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T01:52:56.397222Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.397222Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:b446af91ca7cbf3570f1bbd0283d6b5723de854085dfa089b480f695e1fe2c9b","observation_id":"9c381dd0-afee-4076-a438-d9331210fa0b","resolution":{"observed_at":"2026-08-01T01:52:56.397222Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T01:52:56.400001Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.400001Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:8bfbad82e43a2cd7a145a7deffebc387c18a639b13ecd84d1a28513715832606","observation_id":"cf0186e3-ca38-41ce-90c5-743b9f72ef46","resolution":{"observed_at":"2026-08-01T01:52:56.400001Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T01:52:56.402611Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.402611Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:acf796f17c1750c7116c4616a6ee98928228ae0bb01efd33ca12958ff7c2fbec","observation_id":"5512e38b-8153-4f1e-bcaf-55258019946d","resolution":{"observed_at":"2026-08-01T01:52:56.402611Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T01:52:56.408518Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.408518Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:6523d17e509922e4908fc4ac4f7ad605ac2d17a280a91fd8c2764ce84a051c44","observation_id":"0057fa66-2c0b-4db3-ac1c-e75fb4b4a0b5","resolution":{"observed_at":"2026-08-01T01:52:56.408518Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T01:52:56.411389Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.411389Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:41193359359f348586cf5ae77cdfec0b51c9643b7bf205b1601adf244fc9c141","observation_id":"dfb6a82d-8614-40f1-9b28-8e9c864b3ba5","resolution":{"observed_at":"2026-08-01T01:52:56.411389Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T01:52:56.414507Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.414507Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:41bb1930b92f6772bd5024620bbd0e3fbe3a4e29a899085e25dbae5d95251bd9","observation_id":"c2d7aede-c20c-4283-8e03-43bb718bbd1a","resolution":{"observed_at":"2026-08-01T01:52:56.414507Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T01:52:56.417796Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.417796Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:f37bf1ba7ce14ce480e400d2921765ec5676f1b614c1ff5064c5a82687346d5c","observation_id":"409d785d-8c46-4997-ad4f-921cee9fc67c","resolution":{"observed_at":"2026-08-01T01:52:56.417796Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1802.04730","last_updated":"2018-06-29T00:16:36Z","snapshot_observed_at":"2026-08-07T06:36:37.208888Z","submitted_at":"2018-02-13T16:53:01Z","title":"Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1802.04730","snapshot_observed_at":"2026-08-01T01:52:56.420624Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.420624Z"},"links":{"cited_paper":"/paper/1802.04730","citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:630faa1589ebad0ff8d183738a0a7ec74dcd1a1c42ae492fca61f60b2bc9b5f4","observation_id":"30987d9e-929e-4dda-a7c3-71437f41fa83","resolution":{"observed_at":"2026-08-01T01:52:56.420624Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T01:52:56.423884Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.423884Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:2d1b498c45b4e9184b4e13c8a775774b6ee9e65b0cf94371a548f5762c3310ee","observation_id":"84e05434-6f10-4716-803c-ed46b03739b6","resolution":{"observed_at":"2026-08-01T01:52:56.423884Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T01:52:56.427068Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.427068Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:b46737c252ead527133e30763692399f486b00fb44033cbbf64c61a64c9f02e7","observation_id":"90c75a7e-3269-4b7f-be91-8ad5a4c9691e","resolution":{"observed_at":"2026-08-01T01:52:56.427068Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T01:52:56.429956Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.429956Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:9350e7329250df340e4d9f0ab2a5d239ae5a20a0dd44e00125bdaa7d378bac0b","observation_id":"2c6a0a75-2904-40de-8e44-62fe093adbb3","resolution":{"observed_at":"2026-08-01T01:52:56.429956Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T01:52:56.433336Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.433336Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:2ba5a96f499d5ed1934caa67f8b1a0ad911359852d82adf6d0a3453cc7d09604","observation_id":"14f30f9f-5a46-4b5a-936d-f07ddf774f38","resolution":{"observed_at":"2026-08-01T01:52:56.433336Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T01:52:56.436680Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.436680Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:790d2c6d582feb786fcf07b0155bc96e77a134658b46d5b5c4065e78e097e797","observation_id":"83e3c27f-9228-471b-b6d2-77f7c2ff8f53","resolution":{"observed_at":"2026-08-01T01:52:56.436680Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T01:52:56.439436Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.439436Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:326027a4f58c8be16f687701f5d1fb8b1b28f3b17e168c0b75fc6b9c53990a2c","observation_id":"e84d9384-63be-426b-9cfc-ce3b9f659764","resolution":{"observed_at":"2026-08-01T01:52:56.439436Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T01:52:56.442202Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.442202Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:40c4523784ab1a6ec1847771f2ddac72665efd2dd24115be3a28e0581bf6b0a3","observation_id":"4d7a7b95-037d-4149-b808-e6b8b9a088e8","resolution":{"observed_at":"2026-08-01T01:52:56.442202Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T01:52:56.444866Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.444866Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:0f723e0ed38ee286255c502f6695984219cf0a2e207e1922709547a4fdd55601","observation_id":"b341ee2e-8d90-41b8-aff4-146adec9707e","resolution":{"observed_at":"2026-08-01T01:52:56.444866Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T01:52:56.448011Z","title":null,"venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.448011Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:382baef8d2414103ddc1382d77ee42a38e0edb976a14a7d258bff05ee2cf2ac7","observation_id":"be7ca3e4-64c4-4484-b0b8-79778e1afc51","resolution":{"observed_at":"2026-08-01T01:52:56.448011Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T01:52:56.450803Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.450803Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:9ee732aacbbd156c9ca90f5e4a8fa4982fe9d60b3b8789d243168c01f7612c32","observation_id":"2deaea3e-d843-4485-8aca-3faa6b39510e","resolution":{"observed_at":"2026-08-01T01:52:56.450803Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T01:52:56.457335Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.457335Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:c3f86f4bf42ea98c3229f4c1ce6b1a05f598c683aaa01acc005c1572b5739a2d","observation_id":"b47e6003-f8ac-4b3d-ba89-6f1e711f5801","resolution":{"observed_at":"2026-08-01T01:52:56.457335Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T01:52:56.460280Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.460280Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:aec02d78b5df32ca8f550bb5c227de03fa9ba49860cc17e4965f03e245eed30d","observation_id":"cf72a18c-8008-4af8-bbb5-d1464714c6f7","resolution":{"observed_at":"2026-08-01T01:52:56.460280Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T01:52:56.467317Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.467317Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:4a8d435f33689ce8910a4210589e437456088acaca30e89aea0ee129e14629e4","observation_id":"5823835c-42ef-489a-8472-647ba107e650","resolution":{"observed_at":"2026-08-01T01:52:56.467317Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T01:52:56.470380Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.470380Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:255da5291eaaa0d41172329664d1307969d1b22431be9c2ee92d26671fb713ce","observation_id":"011f59d1-b1fa-43f3-b9e6-1528af92f2b5","resolution":{"observed_at":"2026-08-01T01:52:56.470380Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T01:52:56.463622Z","title":"arXiv:2510.04997 [cs.SE] https://arxiv.org/abs/2510.04997","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.463622Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:a64945c427ef3162ea178c50f6c194e90355e2a65f489cbc8867edfe5e89a6c1","observation_id":"6fa96b43-6930-46d9-ba53-617de6665914","resolution":{"observed_at":"2026-08-01T01:52:56.463622Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T01:52:56.453805Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":231,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.453805Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:e7f719221a2d3e7367747c74b7bbf2ca1be29e7422f321ec7f63f1dfc67cd6d6","observation_id":"2e878e4c-82be-48c6-8a32-c6e57e8e14f2","resolution":{"observed_at":"2026-08-01T01:52:56.453805Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T01:52:56.254234Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":594,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.254234Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:a13d3ef82b89363af752fccd3479f4866f900dfe0d1c854069f036937d3aea38","observation_id":"fe399273-5acd-4644-9076-73f55e770d41","resolution":{"observed_at":"2026-08-01T01:52:56.254234Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T01:52:56.361880Z","title":"InProceedings of the 42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation(Virtual, Canada)(PLDI 2021)","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.361880Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:6d54ce658fd826e2360a8a887376fb016bbd020fd30f4a015f5be32a497ec9d5","observation_id":"35e9c4f7-fe1e-4458-a18d-d9ac7763947d","resolution":{"observed_at":"2026-08-01T01:52:56.361880Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T01:52:56.405415Z","title":"Engg.29, 1 (Nov","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.405415Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:0cb5a6e20e9daf704274795cc9a59616491f03bb410f9a9522ab25af48d04c92","observation_id":"693138c0-5d99-47c4-9188-4562373e56d8","resolution":{"observed_at":"2026-08-01T01:52:56.405415Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1145/3765756","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"ACM Transactions on Software Engineering and Methodology","work_id":"408f5403-4f22-439c-8e43-9fb34e72efd0","year":2025},"citing_paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study","version":1},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:56.345621Z"},"links":{"citing_paper":"/paper/2607.25651"},"observation_digest":"sha256:da7cbda7bf402c9c19cea565c8f0fa2b9c2d154348071b20233d2c59dcec8cc0","observation_id":"1a068d79-0a9a-4cd7-830d-5bf0b31cc6f6","resolution":{"observed_at":"2026-08-01T01:56:15.322826Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2607.25651","last_updated":"2026-07-28T12:38:50Z","latest_version":1,"primary_category":"cs.PL","snapshot_observed_at":"2026-08-06T04:00:52.120722Z","submitted_at":"2026-07-28T12:38:50Z","title":"Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study"},"reference_resolution":{"displayed":78,"state_counts":{"malformed_identifier":3,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":70,"verified_exact":5,"verified_fuzzy":0},"total_outbound_references":78},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 78 of 78 outbound references and 0 inbound Pith citation observations for arXiv:2607.25651."}