{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:QO5DCBP2R7YPYKSJB2KOERTDNB","short_pith_number":"pith:QO5DCBP2","canonical_record":{"source":{"id":"2410.00825","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2024-10-01T16:07:41Z","cross_cats_sorted":["cs.ET"],"title_canon_sha256":"ac9c38b355830812c9f46ac0687176df2c5a83becd20ab94c2c50e0673d5092d","abstract_canon_sha256":"fabf010ed66cb1b4315dd5b1058021cc2e75a1a60bf24818d5317b8c9cab04e7"},"schema_version":"1.0"},"canonical_sha256":"83ba3105fa8ff0fc2a490e94e24663685ca18d7875c15300fe2f9f8b9dccdc90","source":{"kind":"arxiv","id":"2410.00825","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.00825","created_at":"2026-07-05T09:14:11Z"},{"alias_kind":"arxiv_version","alias_value":"2410.00825v1","created_at":"2026-07-05T09:14:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.00825","created_at":"2026-07-05T09:14:11Z"},{"alias_kind":"pith_short_12","alias_value":"QO5DCBP2R7YP","created_at":"2026-07-05T09:14:11Z"},{"alias_kind":"pith_short_16","alias_value":"QO5DCBP2R7YPYKSJ","created_at":"2026-07-05T09:14:11Z"},{"alias_kind":"pith_short_8","alias_value":"QO5DCBP2","created_at":"2026-07-05T09:14:11Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:QO5DCBP2R7YPYKSJB2KOERTDNB","target":"record","payload":{"canonical_record":{"source":{"id":"2410.00825","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2024-10-01T16:07:41Z","cross_cats_sorted":["cs.ET"],"title_canon_sha256":"ac9c38b355830812c9f46ac0687176df2c5a83becd20ab94c2c50e0673d5092d","abstract_canon_sha256":"fabf010ed66cb1b4315dd5b1058021cc2e75a1a60bf24818d5317b8c9cab04e7"},"schema_version":"1.0"},"canonical_sha256":"83ba3105fa8ff0fc2a490e94e24663685ca18d7875c15300fe2f9f8b9dccdc90","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:14:11.324280Z","signature_b64":"8FRaTJmSy9fwYZnvLxqUxPEAbKYwMSreSndWvK2NA+wqJjAbG/w4Pg7OwpwOcFIP7nqrjorGIYeqeSl0M4w1Aw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"83ba3105fa8ff0fc2a490e94e24663685ca18d7875c15300fe2f9f8b9dccdc90","last_reissued_at":"2026-07-05T09:14:11.323727Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:14:11.323727Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.00825","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:14:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8k8chF243VvQPJ5sSiCS+cXonZF5pXpEQgZc/IQArRzX3etseHiF6Da8zTsuze8CHJTJGP/eIHMXKTPQ+WfABg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-19T02:02:38.716409Z"},"content_sha256":"09454344e9508f92678d4f0c8ea5eba0c78912a26d8eb84c8bd17cc10e53d345","schema_version":"1.0","event_id":"sha256:09454344e9508f92678d4f0c8ea5eba0c78912a26d8eb84c8bd17cc10e53d345"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:QO5DCBP2R7YPYKSJB2KOERTDNB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Developing a BLAS library for the AMD AI Engine","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.ET"],"primary_cat":"cs.DC","authors_text":"Tiziano De Matteis, Tristan Laan","submitted_at":"2024-10-01T16:07:41Z","abstract_excerpt":"Spatial (dataflow) computer architectures can mitigate the control and performance overhead of classical von Neumann architectures such as traditional CPUs. Driven by the popularity of Machine Learning (ML) workloads, spatial devices are being marketed as ML inference accelerators. Despite providing a rich software ecosystem for ML practitioners, their adoption in other scientific domains is hindered by the steep learning curve and lack of reusable software, which makes them inaccessible to non-experts. We present our ongoing project AIEBLAS, an open-source, expandable implementation of Basic "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.00825","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2410.00825/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:14:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MpSOENPUlJQ/7lnAq5Ktp1QDkPnD5iAusqot86PkX6BQDWFnynhdz79/2Gsqjhx4jn87QgD+CN/eHWCShTDrAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-19T02:02:38.716804Z"},"content_sha256":"3aa201c297361003eccb7b98854d5ebfc0f4e5d30dd1cb8734961faa5be92f79","schema_version":"1.0","event_id":"sha256:3aa201c297361003eccb7b98854d5ebfc0f4e5d30dd1cb8734961faa5be92f79"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QO5DCBP2R7YPYKSJB2KOERTDNB/bundle.json","state_url":"https://pith.science/pith/QO5DCBP2R7YPYKSJB2KOERTDNB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QO5DCBP2R7YPYKSJB2KOERTDNB/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-07-19T02:02:38Z","links":{"resolver":"https://pith.science/pith/QO5DCBP2R7YPYKSJB2KOERTDNB","bundle":"https://pith.science/pith/QO5DCBP2R7YPYKSJB2KOERTDNB/bundle.json","state":"https://pith.science/pith/QO5DCBP2R7YPYKSJB2KOERTDNB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QO5DCBP2R7YPYKSJB2KOERTDNB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:QO5DCBP2R7YPYKSJB2KOERTDNB","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"fabf010ed66cb1b4315dd5b1058021cc2e75a1a60bf24818d5317b8c9cab04e7","cross_cats_sorted":["cs.ET"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2024-10-01T16:07:41Z","title_canon_sha256":"ac9c38b355830812c9f46ac0687176df2c5a83becd20ab94c2c50e0673d5092d"},"schema_version":"1.0","source":{"id":"2410.00825","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.00825","created_at":"2026-07-05T09:14:11Z"},{"alias_kind":"arxiv_version","alias_value":"2410.00825v1","created_at":"2026-07-05T09:14:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.00825","created_at":"2026-07-05T09:14:11Z"},{"alias_kind":"pith_short_12","alias_value":"QO5DCBP2R7YP","created_at":"2026-07-05T09:14:11Z"},{"alias_kind":"pith_short_16","alias_value":"QO5DCBP2R7YPYKSJ","created_at":"2026-07-05T09:14:11Z"},{"alias_kind":"pith_short_8","alias_value":"QO5DCBP2","created_at":"2026-07-05T09:14:11Z"}],"graph_snapshots":[{"event_id":"sha256:3aa201c297361003eccb7b98854d5ebfc0f4e5d30dd1cb8734961faa5be92f79","target":"graph","created_at":"2026-07-05T09:14:11Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2410.00825/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Spatial (dataflow) computer architectures can mitigate the control and performance overhead of classical von Neumann architectures such as traditional CPUs. Driven by the popularity of Machine Learning (ML) workloads, spatial devices are being marketed as ML inference accelerators. Despite providing a rich software ecosystem for ML practitioners, their adoption in other scientific domains is hindered by the steep learning curve and lack of reusable software, which makes them inaccessible to non-experts. We present our ongoing project AIEBLAS, an open-source, expandable implementation of Basic ","authors_text":"Tiziano De Matteis, Tristan Laan","cross_cats":["cs.ET"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2024-10-01T16:07:41Z","title":"Developing a BLAS library for the AMD AI Engine"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.00825","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:09454344e9508f92678d4f0c8ea5eba0c78912a26d8eb84c8bd17cc10e53d345","target":"record","created_at":"2026-07-05T09:14:11Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"fabf010ed66cb1b4315dd5b1058021cc2e75a1a60bf24818d5317b8c9cab04e7","cross_cats_sorted":["cs.ET"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2024-10-01T16:07:41Z","title_canon_sha256":"ac9c38b355830812c9f46ac0687176df2c5a83becd20ab94c2c50e0673d5092d"},"schema_version":"1.0","source":{"id":"2410.00825","kind":"arxiv","version":1}},"canonical_sha256":"83ba3105fa8ff0fc2a490e94e24663685ca18d7875c15300fe2f9f8b9dccdc90","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"83ba3105fa8ff0fc2a490e94e24663685ca18d7875c15300fe2f9f8b9dccdc90","first_computed_at":"2026-07-05T09:14:11.323727Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:14:11.323727Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8FRaTJmSy9fwYZnvLxqUxPEAbKYwMSreSndWvK2NA+wqJjAbG/w4Pg7OwpwOcFIP7nqrjorGIYeqeSl0M4w1Aw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:14:11.324280Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.00825","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:09454344e9508f92678d4f0c8ea5eba0c78912a26d8eb84c8bd17cc10e53d345","sha256:3aa201c297361003eccb7b98854d5ebfc0f4e5d30dd1cb8734961faa5be92f79"],"state_sha256":"fdba5b3d3b76cc5674f182cc3b5366cda906082672b9cb11f77a69702f4966d9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"a1Y455mfsNkh5Vmwil2re/hBRnitZnHyFiOOVZ4SRRQxEHy4b4agBVvKC8z03Nd2OGg06/WWrrwf+KYO64GBDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-19T02:02:38.719408Z","bundle_sha256":"e2ed6e4007babbe343800d6e92a4b6823a6e15a813e4d417911f781c4fe35d43"}}