{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:25QZQVCVYVBIWETDYYIHNOUAAR","short_pith_number":"pith:25QZQVCV","canonical_record":{"source":{"id":"2606.11718","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AR","submitted_at":"2026-06-10T06:47:27Z","cross_cats_sorted":[],"title_canon_sha256":"966857451b21b9e2bce564b4bc5ebfe957ce1960536e7a567f361ee52c87e8a7","abstract_canon_sha256":"aaaf1ac914791061c56a9218adff1bea1dd7ff5add14d64e7570c060e51589d6"},"schema_version":"1.0"},"canonical_sha256":"d761985455c5428b1263c61076ba800444ca40effc0e06ba39c69e3e8c1e8f04","source":{"kind":"arxiv","id":"2606.11718","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.11718","created_at":"2026-06-11T01:10:04Z"},{"alias_kind":"arxiv_version","alias_value":"2606.11718v1","created_at":"2026-06-11T01:10:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.11718","created_at":"2026-06-11T01:10:04Z"},{"alias_kind":"pith_short_12","alias_value":"25QZQVCVYVBI","created_at":"2026-06-11T01:10:04Z"},{"alias_kind":"pith_short_16","alias_value":"25QZQVCVYVBIWETD","created_at":"2026-06-11T01:10:04Z"},{"alias_kind":"pith_short_8","alias_value":"25QZQVCV","created_at":"2026-06-11T01:10:04Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:25QZQVCVYVBIWETDYYIHNOUAAR","target":"record","payload":{"canonical_record":{"source":{"id":"2606.11718","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AR","submitted_at":"2026-06-10T06:47:27Z","cross_cats_sorted":[],"title_canon_sha256":"966857451b21b9e2bce564b4bc5ebfe957ce1960536e7a567f361ee52c87e8a7","abstract_canon_sha256":"aaaf1ac914791061c56a9218adff1bea1dd7ff5add14d64e7570c060e51589d6"},"schema_version":"1.0"},"canonical_sha256":"d761985455c5428b1263c61076ba800444ca40effc0e06ba39c69e3e8c1e8f04","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-11T01:10:04.549957Z","signature_b64":"1UwtCfsZQWEPsyX4raPjEGD7ZJz5TyQk2g/MqH2d2MWEthQFwnEPIZFuLTKzvZ9b4qTv6fy32Q39LRL493CnAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d761985455c5428b1263c61076ba800444ca40effc0e06ba39c69e3e8c1e8f04","last_reissued_at":"2026-06-11T01:10:04.548924Z","signature_status":"signed_v1","first_computed_at":"2026-06-11T01:10:04.548924Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.11718","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":"2026-06-11T01:10:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"19RABiSK7LLQwzr1UJ/Nw7gS6TsWCLcYp0hx10VjM2UqHED5l7jQRkFvIyfMCHd79GjC80rg3fJweEgnawvZAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-23T14:37:37.885914Z"},"content_sha256":"186aa3b292b4b324120de457efb6b6ab5e46836d2b916fce4904855b075aa02b","schema_version":"1.0","event_id":"sha256:186aa3b292b4b324120de457efb6b6ab5e46836d2b916fce4904855b075aa02b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:25QZQVCVYVBIWETDYYIHNOUAAR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Making Locality-aware GEMM Compatible with Page-Granularity Placement on Chiplet GPUs","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AR","authors_text":"Euijun Chung, Hyesoon Kim, Jae Hyung Ju","submitted_at":"2026-06-10T06:47:27Z","abstract_excerpt":"Multi-chiplet GPUs scale compute throughput and high-bandwidth memory (HBM) capacity, but their non-uniform memory system makes locality between chiplets and their data critical to the GPU's performance and energy efficiency. Locality-aware scheduling and data placement identify which data should reside near each chiplet. However, in general matrix multiplication (GEMM), locality-aware data placement often becomes incompatible with a fixed page-granularity data interleaving, since the optimal granularity for mapping data across chiplets varies widely across workloads. We propose Chiplet-Contig"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.11718","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/2606.11718/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":"2026-06-11T01:10:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tjL9b2CLY3zlAZBtLjRxsSG0tV0FwFylci9bArcRpwyBLCulqLpDJLsLhMb9kQ1uFDeUdAjPMIt1vkerQqvDAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-23T14:37:37.886306Z"},"content_sha256":"68786a0b84a2d7ed0ae75d813cc3c27daae01d7dac277c5a44f212b5669acd7a","schema_version":"1.0","event_id":"sha256:68786a0b84a2d7ed0ae75d813cc3c27daae01d7dac277c5a44f212b5669acd7a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/25QZQVCVYVBIWETDYYIHNOUAAR/bundle.json","state_url":"https://pith.science/pith/25QZQVCVYVBIWETDYYIHNOUAAR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/25QZQVCVYVBIWETDYYIHNOUAAR/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":"2026-06-23T14:37:37Z","links":{"resolver":"https://pith.science/pith/25QZQVCVYVBIWETDYYIHNOUAAR","bundle":"https://pith.science/pith/25QZQVCVYVBIWETDYYIHNOUAAR/bundle.json","state":"https://pith.science/pith/25QZQVCVYVBIWETDYYIHNOUAAR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/25QZQVCVYVBIWETDYYIHNOUAAR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:25QZQVCVYVBIWETDYYIHNOUAAR","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":"aaaf1ac914791061c56a9218adff1bea1dd7ff5add14d64e7570c060e51589d6","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AR","submitted_at":"2026-06-10T06:47:27Z","title_canon_sha256":"966857451b21b9e2bce564b4bc5ebfe957ce1960536e7a567f361ee52c87e8a7"},"schema_version":"1.0","source":{"id":"2606.11718","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.11718","created_at":"2026-06-11T01:10:04Z"},{"alias_kind":"arxiv_version","alias_value":"2606.11718v1","created_at":"2026-06-11T01:10:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.11718","created_at":"2026-06-11T01:10:04Z"},{"alias_kind":"pith_short_12","alias_value":"25QZQVCVYVBI","created_at":"2026-06-11T01:10:04Z"},{"alias_kind":"pith_short_16","alias_value":"25QZQVCVYVBIWETD","created_at":"2026-06-11T01:10:04Z"},{"alias_kind":"pith_short_8","alias_value":"25QZQVCV","created_at":"2026-06-11T01:10:04Z"}],"graph_snapshots":[{"event_id":"sha256:68786a0b84a2d7ed0ae75d813cc3c27daae01d7dac277c5a44f212b5669acd7a","target":"graph","created_at":"2026-06-11T01:10:04Z","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/2606.11718/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Multi-chiplet GPUs scale compute throughput and high-bandwidth memory (HBM) capacity, but their non-uniform memory system makes locality between chiplets and their data critical to the GPU's performance and energy efficiency. Locality-aware scheduling and data placement identify which data should reside near each chiplet. However, in general matrix multiplication (GEMM), locality-aware data placement often becomes incompatible with a fixed page-granularity data interleaving, since the optimal granularity for mapping data across chiplets varies widely across workloads. We propose Chiplet-Contig","authors_text":"Euijun Chung, Hyesoon Kim, Jae Hyung Ju","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AR","submitted_at":"2026-06-10T06:47:27Z","title":"Making Locality-aware GEMM Compatible with Page-Granularity Placement on Chiplet GPUs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.11718","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":"sha256:186aa3b292b4b324120de457efb6b6ab5e46836d2b916fce4904855b075aa02b","target":"record","created_at":"2026-06-11T01:10:04Z","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":"aaaf1ac914791061c56a9218adff1bea1dd7ff5add14d64e7570c060e51589d6","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AR","submitted_at":"2026-06-10T06:47:27Z","title_canon_sha256":"966857451b21b9e2bce564b4bc5ebfe957ce1960536e7a567f361ee52c87e8a7"},"schema_version":"1.0","source":{"id":"2606.11718","kind":"arxiv","version":1}},"canonical_sha256":"d761985455c5428b1263c61076ba800444ca40effc0e06ba39c69e3e8c1e8f04","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d761985455c5428b1263c61076ba800444ca40effc0e06ba39c69e3e8c1e8f04","first_computed_at":"2026-06-11T01:10:04.548924Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-11T01:10:04.548924Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1UwtCfsZQWEPsyX4raPjEGD7ZJz5TyQk2g/MqH2d2MWEthQFwnEPIZFuLTKzvZ9b4qTv6fy32Q39LRL493CnAw==","signature_status":"signed_v1","signed_at":"2026-06-11T01:10:04.549957Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.11718","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:186aa3b292b4b324120de457efb6b6ab5e46836d2b916fce4904855b075aa02b","sha256:68786a0b84a2d7ed0ae75d813cc3c27daae01d7dac277c5a44f212b5669acd7a"],"state_sha256":"6bf1803e3dde09d9aa27f2804716946d5742100e0c83c8cfcc2e1f4b37e0a700"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"le9ZEhprEcUTi2cs8fPzNsf2igaeIHtXqdVsRUC4mkiA8xvle2fRVcj/R5gmS+OXviq2UxvO/ZPpCbfO/mnhCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-23T14:37:37.888401Z","bundle_sha256":"0a4e083c39a5705bc5e2422d1168c7912cf299fdd2a9007ac579b95edbf8d0ff"}}