{"as_of":"2026-08-09T14:13:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6c8fe46cd484c5cfa1ceb4f94af9db64a4b687af1f51735ac3bf26b4a46b2436","coverage":[{"denominator":28,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":28,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T14:51:07.108371Z","state":"measured"},{"denominator":28,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":28,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+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/2607.18650/citation-record","integrity":"/paper/2607.18650/integrity","json":"/paper/2607.18650/citation-record.json","paper":"/paper/2607.18650"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T14:51:06.162956Z","title":"Benchmarking the cerebras wafer scale engine-2 architecture,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.18650","last_updated":"2026-07-21T02:42:45Z","snapshot_observed_at":"2026-08-08T07:04:36.651042Z","submitted_at":"2026-07-21T02:42:45Z","title":"Unstructured Hydrodynamics on Spatial Dataflow Architectures: A Joint Code and Data Decomposition Approach","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-01T14:51:06.162956Z"},"links":{"citing_paper":"/paper/2607.18650"},"observation_digest":"sha256:24b73760dc8624316233fc6bf845809675cdae3136322d1e6bb5321cfd04efb1","observation_id":"9a8c2707-c5cf-4e70-a6ef-cfb25b253d01","resolution":{"observed_at":"2026-08-01T14:51:06.162956Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2204.03775","last_updated":"2022-04-07T23:27:51Z","snapshot_observed_at":"2026-07-06T12:58:06.068351Z","submitted_at":"2022-04-07T23:27:51Z","title":"Massively scalable stencil algorithm","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2204.03775","snapshot_observed_at":"2026-08-01T14:51:06.296017Z","title":"Massively scalable stencil algorithm,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.18650","last_updated":"2026-07-21T02:42:45Z","snapshot_observed_at":"2026-08-08T07:04:36.651042Z","submitted_at":"2026-07-21T02:42:45Z","title":"Unstructured Hydrodynamics on Spatial Dataflow Architectures: A Joint Code and Data Decomposition Approach","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-01T14:51:06.296017Z"},"links":{"cited_paper":"/paper/2204.03775","citing_paper":"/paper/2607.18650"},"observation_digest":"sha256:e7bfcbaedbe175a5b80c9ee89b5305f39b9c64d738fb248264e299574f3df192","observation_id":"df7e252c-3687-4e7d-af25-fd854c720575","resolution":{"observed_at":"2026-08-01T14:51:06.296017Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1404.2022","last_updated":"2014-04-08T06:50:36Z","snapshot_observed_at":"2026-07-06T03:40:36.456030Z","submitted_at":"2014-04-08T06:50:36Z","title":"Neutrino Production via $e^-e^+$ Collision at $Z$-boson Peak","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1404.2022","snapshot_observed_at":"2026-08-01T14:51:06.406136Z","title":"Scalable distributed high-order stencil computations,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.18650","last_updated":"2026-07-21T02:42:45Z","snapshot_observed_at":"2026-08-08T07:04:36.651042Z","submitted_at":"2026-07-21T02:42:45Z","title":"Unstructured Hydrodynamics on Spatial Dataflow Architectures: A Joint Code and Data Decomposition Approach","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-01T14:51:06.406136Z"},"links":{"cited_paper":"/paper/1404.2022","citing_paper":"/paper/2607.18650"},"observation_digest":"sha256:53282cb4a85eddd680a32488a6f4b7e1b74b58180a126bff7be9310b2a5fcc44","observation_id":"47a9870c-1087-45f5-bef1-cf8a5f54c250","resolution":{"observed_at":"2026-08-01T14:51:06.406136Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1406.2024","last_updated":"2014-06-08T20:52:15Z","snapshot_observed_at":"2026-07-06T03:45:47.981395Z","submitted_at":"2014-06-08T20:52:15Z","title":"Hilfer fractional advection-diffusion equations with power-law initial condition; a Numerical study using variational iteration method","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1406.2024","snapshot_observed_at":"2026-08-01T14:51:06.627684Z","title":"Breaking the molecular dynamics timescale barrier using a wafer-scale system,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.18650","last_updated":"2026-07-21T02:42:45Z","snapshot_observed_at":"2026-08-08T07:04:36.651042Z","submitted_at":"2026-07-21T02:42:45Z","title":"Unstructured Hydrodynamics on Spatial Dataflow Architectures: A Joint Code and Data Decomposition Approach","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-01T14:51:06.627684Z"},"links":{"cited_paper":"/paper/1406.2024","citing_paper":"/paper/2607.18650"},"observation_digest":"sha256:9a8adde4094ceeed30a3eb78d8cc7ac5141e6d8ccf669f8deefafcde51713c19","observation_id":"1e133971-ccac-4e46-9f61-4b084db78742","resolution":{"observed_at":"2026-08-01T14:51:06.627684Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.10532","last_updated":"2024-11-15T19:08:57Z","snapshot_observed_at":"2026-08-07T02:45:34.357823Z","submitted_at":"2024-11-15T19:08:57Z","title":"Breaking the mold: overcoming the time constraints of molecular dynamics on general-purpose hardware","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.10532","snapshot_observed_at":"2026-08-01T14:51:06.742440Z","title":"Breaking the mold: overcoming the time constraints of molecular dynamics on general-purpose hardware,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.18650","last_updated":"2026-07-21T02:42:45Z","snapshot_observed_at":"2026-08-08T07:04:36.651042Z","submitted_at":"2026-07-21T02:42:45Z","title":"Unstructured Hydrodynamics on Spatial Dataflow Architectures: A Joint Code and Data Decomposition Approach","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-01T14:51:06.742440Z"},"links":{"cited_paper":"/paper/2411.10532","citing_paper":"/paper/2607.18650"},"observation_digest":"sha256:3032a790739ca096b47e060e1fc93013ac8d7f32dc25055a9648a93190a6fa85","observation_id":"df7b6289-69c1-48a9-a6e6-a6f07c567877","resolution":{"observed_at":"2026-08-01T14:51:06.742440Z","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":"2026-08-01T14:51:06.852099Z","title":"Stateful dataflow multigraphs: A data-centric model for performance portability on heterogeneous architectures,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.18650","last_updated":"2026-07-21T02:42:45Z","snapshot_observed_at":"2026-08-08T07:04:36.651042Z","submitted_at":"2026-07-21T02:42:45Z","title":"Unstructured Hydrodynamics on Spatial Dataflow Architectures: A Joint Code and Data Decomposition Approach","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-01T14:51:06.852099Z"},"links":{"citing_paper":"/paper/2607.18650"},"observation_digest":"sha256:51547717900dccd936323476401ee05ddc1162d89efdabe4e9e9df58ad69e1ac","observation_id":"9dbb9891-0fde-4409-9b91-5ef77233ce55","resolution":{"observed_at":"2026-08-01T14:51:06.852099Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1405.2020","last_updated":"2014-05-08T17:04:15Z","snapshot_observed_at":"2026-08-04T16:50:32.529025Z","submitted_at":"2014-05-08T17:04:15Z","title":"Generalized Slow Roll for Tensors","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1405.2020","snapshot_observed_at":"2026-08-01T14:51:06.964890Z","title":"Fast stencil-code computation on a wafer-scale processor,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.18650","last_updated":"2026-07-21T02:42:45Z","snapshot_observed_at":"2026-08-08T07:04:36.651042Z","submitted_at":"2026-07-21T02:42:45Z","title":"Unstructured Hydrodynamics on Spatial Dataflow Architectures: A Joint Code and Data Decomposition Approach","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-01T14:51:06.964890Z"},"links":{"cited_paper":"/paper/1405.2020","citing_paper":"/paper/2607.18650"},"observation_digest":"sha256:c872ceeee5fa44322441f8befdc5324683065501d100689132ef76d8861216ae","observation_id":"c3097c00-37a1-44a9-9ee2-28837e4fa7f3","resolution":{"observed_at":"2026-08-01T14:51:06.964890Z","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":"2026-08-01T14:51:07.056454Z","title":"Scaling the “memory wall","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.18650","last_updated":"2026-07-21T02:42:45Z","snapshot_observed_at":"2026-08-08T07:04:36.651042Z","submitted_at":"2026-07-21T02:42:45Z","title":"Unstructured Hydrodynamics on Spatial Dataflow Architectures: A Joint Code and Data Decomposition Approach","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-01T14:51:07.056454Z"},"links":{"citing_paper":"/paper/2607.18650"},"observation_digest":"sha256:38c927ad1b4ce2f3bde79eca9761446aae361166b9070844c375f7eda828ce93","observation_id":"d81c68c0-807e-40e2-8028-f843a16af44b","resolution":{"observed_at":"2026-08-01T14:51:07.056454Z","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":"2026-08-01T14:51:07.058593Z","title":"Near-optimal wafer-scale reduce,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.18650","last_updated":"2026-07-21T02:42:45Z","snapshot_observed_at":"2026-08-08T07:04:36.651042Z","submitted_at":"2026-07-21T02:42:45Z","title":"Unstructured Hydrodynamics on Spatial Dataflow Architectures: A Joint Code and Data Decomposition Approach","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-01T14:51:07.058593Z"},"links":{"citing_paper":"/paper/2607.18650"},"observation_digest":"sha256:47fdeabdaeeb39bc5f1dd066208bfa041edb6c0254b4ff4dca72368f50fa5ceb","observation_id":"a3cb753b-d6e1-4fa6-93cb-3a049bf1390d","resolution":{"observed_at":"2026-08-01T14:51:07.058593Z","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":"2026-08-01T14:51:07.060851Z","title":"The cerebras software development kit: A technical overview,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.18650","last_updated":"2026-07-21T02:42:45Z","snapshot_observed_at":"2026-08-08T07:04:36.651042Z","submitted_at":"2026-07-21T02:42:45Z","title":"Unstructured Hydrodynamics on Spatial Dataflow Architectures: A Joint Code and Data Decomposition Approach","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-01T14:51:07.060851Z"},"links":{"citing_paper":"/paper/2607.18650"},"observation_digest":"sha256:9bec54e266785d2c5c7ec0e6654f2ebce5334285c1a9e19f63333096295c378d","observation_id":"66c925f6-c019-4af2-a1b9-e075f4c2090f","resolution":{"observed_at":"2026-08-01T14:51:07.060851Z","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":"2026-08-01T14:51:07.063921Z","title":"A more practical PRAM model,","venue":null,"work_id":null,"year":1989},"citing_paper":{"arxiv_id":"2607.18650","last_updated":"2026-07-21T02:42:45Z","snapshot_observed_at":"2026-08-08T07:04:36.651042Z","submitted_at":"2026-07-21T02:42:45Z","title":"Unstructured Hydrodynamics on Spatial Dataflow Architectures: A Joint Code and Data Decomposition Approach","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-01T14:51:07.063921Z"},"links":{"citing_paper":"/paper/2607.18650"},"observation_digest":"sha256:7ab1c3f46c66725a669a7a60a59bdf2293a4e245e9c98ef29eb23d3e2823976d","observation_id":"870e72cc-49f1-427b-813a-53d91e65a6df","resolution":{"observed_at":"2026-08-01T14:51:07.063921Z","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":"2026-08-01T14:51:07.066566Z","title":"BSP vs LogP,","venue":null,"work_id":null,"year":1996},"citing_paper":{"arxiv_id":"2607.18650","last_updated":"2026-07-21T02:42:45Z","snapshot_observed_at":"2026-08-08T07:04:36.651042Z","submitted_at":"2026-07-21T02:42:45Z","title":"Unstructured Hydrodynamics on Spatial Dataflow Architectures: A Joint Code and Data Decomposition Approach","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-01T14:51:07.066566Z"},"links":{"citing_paper":"/paper/2607.18650"},"observation_digest":"sha256:51e60da74028644a1f3405a4b904f70bb2f7c9637cec303bf319a44123ba236a","observation_id":"86543419-1cbd-4845-bafc-cbfa2e87e7bd","resolution":{"observed_at":"2026-08-01T14:51:07.066566Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2205.04934","last_updated":"2023-01-17T14:44:09Z","snapshot_observed_at":"2026-08-06T08:25:19.949546Z","submitted_at":"2022-05-10T14:44:17Z","title":"The spatial computer: A model for energy-efficient parallel computation","version":3},"cited_work":{"arxiv_id":"2205.04934","doi":"10.48550/arxiv.2205.04934","metadata_source":"pith","pith_arxiv_id":"2205.04934","snapshot_observed_at":"2026-08-05T02:49:54.815029Z","title":"The spatial computer: A model for energy-efficient parallel computation","venue":"cs.DS","work_id":"d404dda5-9f03-486b-8930-d3f51c50550b","year":2022},"citing_paper":{"arxiv_id":"2607.18650","last_updated":"2026-07-21T02:42:45Z","snapshot_observed_at":"2026-08-08T07:04:36.651042Z","submitted_at":"2026-07-21T02:42:45Z","title":"Unstructured Hydrodynamics on Spatial Dataflow Architectures: A Joint Code and Data Decomposition Approach","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-01T14:51:07.069864Z"},"links":{"cited_paper":"/paper/2205.04934","citing_paper":"/paper/2607.18650"},"observation_digest":"sha256:cb02eeb850611db6724cec12febb12302fe22056590f33bb97d04c7d756a617a","observation_id":"63f62b0c-3b7e-4bc8-a0dd-262f623a1daa","resolution":{"observed_at":"2026-08-01T14:54:09.603273Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.2172/1117905","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Hydrodynamics challenge problem,","venue":null,"work_id":"d9bef1db-4c5c-43b9-ad82-b85c12fa1476","year":2011},"citing_paper":{"arxiv_id":"2607.18650","last_updated":"2026-07-21T02:42:45Z","snapshot_observed_at":"2026-08-08T07:04:36.651042Z","submitted_at":"2026-07-21T02:42:45Z","title":"Unstructured Hydrodynamics on Spatial Dataflow Architectures: A Joint Code and Data Decomposition Approach","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-01T14:51:07.073134Z"},"links":{"citing_paper":"/paper/2607.18650"},"observation_digest":"sha256:204af4bcb9f016c9a4f428b908e70404473268872f5b7982e0342d7084090c1a","observation_id":"9fcc9e84-d955-4d3c-9543-9c9c0c3ef765","resolution":{"observed_at":"2026-08-01T14:54:09.379145Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-01T14:51:07.075884Z","title":"Exploring traditional and emerging parallel programming models using a proxy application,","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2607.18650","last_updated":"2026-07-21T02:42:45Z","snapshot_observed_at":"2026-08-08T07:04:36.651042Z","submitted_at":"2026-07-21T02:42:45Z","title":"Unstructured Hydrodynamics on Spatial Dataflow Architectures: A Joint Code and Data Decomposition Approach","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-01T14:51:07.075884Z"},"links":{"citing_paper":"/paper/2607.18650"},"observation_digest":"sha256:85027426c194f1f7f34226ffe5fc3da114f9c6c70105ca09230376eec97230ea","observation_id":"39ae7556-ddaa-4ff9-871b-1ed082d3240b","resolution":{"observed_at":"2026-08-01T14:51:07.075884Z","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":"2026-08-01T14:51:07.078187Z","title":"MLIR: Scaling compiler infrastructure for domain specific computation,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.18650","last_updated":"2026-07-21T02:42:45Z","snapshot_observed_at":"2026-08-08T07:04:36.651042Z","submitted_at":"2026-07-21T02:42:45Z","title":"Unstructured Hydrodynamics on Spatial Dataflow Architectures: A Joint Code and Data Decomposition Approach","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-01T14:51:07.078187Z"},"links":{"citing_paper":"/paper/2607.18650"},"observation_digest":"sha256:980e6628701495829bbd7f2045f14aa5a6471b75f2b611c13b18de0c94da5f14","observation_id":"874c2f7a-a52c-4df3-9a8a-df92813f8640","resolution":{"observed_at":"2026-08-01T14:51:07.078187Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2004.12816","last_updated":"2020-04-23T22:36:05Z","snapshot_observed_at":"2026-07-31T00:36:11.204598Z","submitted_at":"2020-04-23T22:36:05Z","title":"Zakharov-Ito equation and Generalized Heisenberg ferromagnet-type equation: equivalence and related geometric curve flows","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2004.12816","snapshot_observed_at":"2026-08-01T14:51:07.080508Z","title":"LLVM: a compilation framework for lifelong program analysis & transformation,","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2607.18650","last_updated":"2026-07-21T02:42:45Z","snapshot_observed_at":"2026-08-08T07:04:36.651042Z","submitted_at":"2026-07-21T02:42:45Z","title":"Unstructured Hydrodynamics on Spatial Dataflow Architectures: A Joint Code and Data Decomposition Approach","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-01T14:51:07.080508Z"},"links":{"cited_paper":"/paper/2004.12816","citing_paper":"/paper/2607.18650"},"observation_digest":"sha256:c04f538c8c4bb5de330c091e61174b8fb024de556d0e8c9c22cbb5f1926724da","observation_id":"fc5eb853-1cbe-46fc-b834-47628848c6f2","resolution":{"observed_at":"2026-08-01T14:51:07.080508Z","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":"2026-08-01T14:51:07.083252Z","title":"Python port of the livermore unstructured lagrangian explicit shock hydrodynamics (lulesh),","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.18650","last_updated":"2026-07-21T02:42:45Z","snapshot_observed_at":"2026-08-08T07:04:36.651042Z","submitted_at":"2026-07-21T02:42:45Z","title":"Unstructured Hydrodynamics on Spatial Dataflow Architectures: A Joint Code and Data Decomposition Approach","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-01T14:51:07.083252Z"},"links":{"citing_paper":"/paper/2607.18650"},"observation_digest":"sha256:569ac0e53662a70b986144055cb723e50b670592463fecdd67a341c3977bbae8","observation_id":"0aa4b79d-fc18-48e7-8f14-02e1601d67f3","resolution":{"observed_at":"2026-08-01T14:51:07.083252Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.15875","last_updated":"2025-06-18T20:44:10Z","snapshot_observed_at":"2026-08-06T23:42:43.754752Z","submitted_at":"2025-06-18T20:44:10Z","title":"A System Level Compiler for Massively-Parallel, Spatial, Dataflow Architectures","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.15875","snapshot_observed_at":"2026-08-01T14:51:07.085891Z","title":"A system level compiler for massively-parallel, spatial, dataflow architectures,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.18650","last_updated":"2026-07-21T02:42:45Z","snapshot_observed_at":"2026-08-08T07:04:36.651042Z","submitted_at":"2026-07-21T02:42:45Z","title":"Unstructured Hydrodynamics on Spatial Dataflow Architectures: A Joint Code and Data Decomposition Approach","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-01T14:51:07.085891Z"},"links":{"cited_paper":"/paper/2506.15875","citing_paper":"/paper/2607.18650"},"observation_digest":"sha256:162d1d8f7cee2fd25964c6155aa12c11a1202a2adc6e03f50b1b81b836912674","observation_id":"23e4c176-9973-42b5-98bb-9019a1534094","resolution":{"observed_at":"2026-08-01T14:51:07.085891Z","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":"2026-08-01T14:51:07.088964Z","title":"Towards extremely fast context switching in a block-multithreaded processor,","venue":null,"work_id":null,"year":2000},"citing_paper":{"arxiv_id":"2607.18650","last_updated":"2026-07-21T02:42:45Z","snapshot_observed_at":"2026-08-08T07:04:36.651042Z","submitted_at":"2026-07-21T02:42:45Z","title":"Unstructured Hydrodynamics on Spatial Dataflow Architectures: A Joint Code and Data Decomposition Approach","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-01T14:51:07.088964Z"},"links":{"citing_paper":"/paper/2607.18650"},"observation_digest":"sha256:9d0d47d9ad027d65e313efe24fbf338be64fb34164161f15ba1c6f03b803c42e","observation_id":"afef0156-2797-4fe9-ac80-73551b071a05","resolution":{"observed_at":"2026-08-01T14:51:07.088964Z","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":"2026-08-01T14:51:07.091476Z","title":"The effect of context switches on cache performance,","venue":null,"work_id":null,"year":1991},"citing_paper":{"arxiv_id":"2607.18650","last_updated":"2026-07-21T02:42:45Z","snapshot_observed_at":"2026-08-08T07:04:36.651042Z","submitted_at":"2026-07-21T02:42:45Z","title":"Unstructured Hydrodynamics on Spatial Dataflow Architectures: A Joint Code and Data Decomposition Approach","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-01T14:51:07.091476Z"},"links":{"citing_paper":"/paper/2607.18650"},"observation_digest":"sha256:1f9de9a15058197fce31488a8690b26ee7f2a3bb35af691eae27dfabf7ff01ad","observation_id":"d6fea9f4-20cc-42de-974c-fdebb47e2e21","resolution":{"observed_at":"2026-08-01T14:51:07.091476Z","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":"2026-08-01T14:51:07.094054Z","title":null,"venue":null,"work_id":null,"year":1985},"citing_paper":{"arxiv_id":"2607.18650","last_updated":"2026-07-21T02:42:45Z","snapshot_observed_at":"2026-08-08T07:04:36.651042Z","submitted_at":"2026-07-21T02:42:45Z","title":"Unstructured Hydrodynamics on Spatial Dataflow Architectures: A Joint Code and Data Decomposition Approach","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-01T14:51:07.094054Z"},"links":{"citing_paper":"/paper/2607.18650"},"observation_digest":"sha256:a2734cee167e60465217591c1327d2d5b3677d8852de341a87f2dad3c12f8aba","observation_id":"4975e7db-4dbd-4250-b05a-08a047fba24f","resolution":{"observed_at":"2026-08-01T14:51:07.094054Z","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":"10.1007/978-3-642-31046-1","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Bader,Space-Filling Curves - An Introduction with Applications in Scientific Computing, ser","venue":null,"work_id":"c27113e4-fcf6-4c9f-a8df-971df48bc5ac","year":2013},"citing_paper":{"arxiv_id":"2607.18650","last_updated":"2026-07-21T02:42:45Z","snapshot_observed_at":"2026-08-08T07:04:36.651042Z","submitted_at":"2026-07-21T02:42:45Z","title":"Unstructured Hydrodynamics on Spatial Dataflow Architectures: A Joint Code and Data Decomposition Approach","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-01T14:51:07.096536Z"},"links":{"citing_paper":"/paper/2607.18650"},"observation_digest":"sha256:e2864c55fddcee8440cf9a187b228ed9aed2768239ce0816969e869b40a51bc4","observation_id":"eab0c184-07d0-4617-9bba-5a07cef4c638","resolution":{"observed_at":"2026-08-01T14:54:09.142408Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1109/icpp.2013.26","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Empirical analysis of space-filling curves for scientific computing applications,","venue":null,"work_id":"ec520fd1-62c2-4310-a373-027de4822740","year":2013},"citing_paper":{"arxiv_id":"2607.18650","last_updated":"2026-07-21T02:42:45Z","snapshot_observed_at":"2026-08-08T07:04:36.651042Z","submitted_at":"2026-07-21T02:42:45Z","title":"Unstructured Hydrodynamics on Spatial Dataflow Architectures: A Joint Code and Data Decomposition Approach","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-01T14:51:07.098994Z"},"links":{"citing_paper":"/paper/2607.18650"},"observation_digest":"sha256:418c099bcd4b601941eee25febf2fc44aadff12678e655c3c9d425e0aac7dd54","observation_id":"0d888f6f-eef5-4fa2-878e-a517f597559e","resolution":{"observed_at":"2026-08-01T14:54:08.821615Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-01T14:51:07.101306Z","title":"Parallel domain decomposition and load balancing using space-filling curves,","venue":null,"work_id":null,"year":1997},"citing_paper":{"arxiv_id":"2607.18650","last_updated":"2026-07-21T02:42:45Z","snapshot_observed_at":"2026-08-08T07:04:36.651042Z","submitted_at":"2026-07-21T02:42:45Z","title":"Unstructured Hydrodynamics on Spatial Dataflow Architectures: A Joint Code and Data Decomposition Approach","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-01T14:51:07.101306Z"},"links":{"citing_paper":"/paper/2607.18650"},"observation_digest":"sha256:589f4e7f86ba00d6c9b9a85f69ce969f92b9c2b92e4259e91cf0506cb9fbc89f","observation_id":"fac362de-8a95-4327-99ca-1bd62c574ac9","resolution":{"observed_at":"2026-08-01T14:51:07.101306Z","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":"2026-08-01T14:51:07.105944Z","title":"Claude Sonnet 4.6,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.18650","last_updated":"2026-07-21T02:42:45Z","snapshot_observed_at":"2026-08-08T07:04:36.651042Z","submitted_at":"2026-07-21T02:42:45Z","title":"Unstructured Hydrodynamics on Spatial Dataflow Architectures: A Joint Code and Data Decomposition Approach","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-01T14:51:07.105944Z"},"links":{"citing_paper":"/paper/2607.18650"},"observation_digest":"sha256:63eab33d7000c3efaa86e649d7a1c4c7d37cda71ee411eb8f9f133429bc51f55","observation_id":"c4d69c6b-1af2-44e0-910f-8371e19141b0","resolution":{"observed_at":"2026-08-01T14:51:07.105944Z","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":"2026-08-01T14:51:07.108371Z","title":"GPT-5.4,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.18650","last_updated":"2026-07-21T02:42:45Z","snapshot_observed_at":"2026-08-08T07:04:36.651042Z","submitted_at":"2026-07-21T02:42:45Z","title":"Unstructured Hydrodynamics on Spatial Dataflow Architectures: A Joint Code and Data Decomposition Approach","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-01T14:51:07.108371Z"},"links":{"citing_paper":"/paper/2607.18650"},"observation_digest":"sha256:a985f83e4ab8dd9a3334a14d8df9aaf9b62a53aaf000b026ccb4ee60b2636884","observation_id":"9bb50878-2e94-4246-8d09-0868b71867e1","resolution":{"observed_at":"2026-08-01T14:51:07.108371Z","resolver_source":null,"status":"parse_uncertain"},"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":"2026-08-01T14:51:07.103640Z","title":"Available: https://doi.org/10.1109/HIPC.1997.634498","venue":null,"work_id":null,"year":1997},"citing_paper":{"arxiv_id":"2607.18650","last_updated":"2026-07-21T02:42:45Z","snapshot_observed_at":"2026-08-08T07:04:36.651042Z","submitted_at":"2026-07-21T02:42:45Z","title":"Unstructured Hydrodynamics on Spatial Dataflow Architectures: A Joint Code and Data Decomposition Approach","version":1},"reference_index":235,"source":"pdf_text","source_observed_at":"2026-08-01T14:51:07.103640Z"},"links":{"citing_paper":"/paper/2607.18650"},"observation_digest":"sha256:70fe39af073699a8253313594f2841bdbd6532c578c7bb7663d962295748f36c","observation_id":"6eb713b5-8315-48e8-8b06-058a8f32d763","resolution":{"observed_at":"2026-08-01T14:51:07.103640Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.18650","last_updated":"2026-07-21T02:42:45Z","latest_version":1,"primary_category":"cs.DC","snapshot_observed_at":"2026-08-08T07:04:36.651042Z","submitted_at":"2026-07-21T02:42:45Z","title":"Unstructured Hydrodynamics on Spatial Dataflow Architectures: A Joint Code and Data Decomposition Approach"},"reference_resolution":{"displayed":28,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":1,"unresolved":23,"verified_exact":4,"verified_fuzzy":0},"total_outbound_references":28},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2607.18650."}