{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:6IJLWECIKN2IYOON243XAVQKAZ","short_pith_number":"pith:6IJLWECI","canonical_record":{"source":{"id":"2607.04031","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AR","submitted_at":"2026-07-04T21:19:49Z","cross_cats_sorted":[],"title_canon_sha256":"e10351dab061711f235fac72348d4b566ff45d0da0f35c292c0acf9c255eaa49","abstract_canon_sha256":"08e584666597f24f5ae224c50b0150af9811dacd8b6d21f157842fbc9b01d618"},"schema_version":"1.0"},"canonical_sha256":"f212bb104853748c39cdd73770560a0651cd7b8451b9a46492bea840a5cbe484","source":{"kind":"arxiv","id":"2607.04031","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.04031","created_at":"2026-07-07T02:18:54Z"},{"alias_kind":"arxiv_version","alias_value":"2607.04031v1","created_at":"2026-07-07T02:18:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.04031","created_at":"2026-07-07T02:18:54Z"},{"alias_kind":"pith_short_12","alias_value":"6IJLWECIKN2I","created_at":"2026-07-07T02:18:54Z"},{"alias_kind":"pith_short_16","alias_value":"6IJLWECIKN2IYOON","created_at":"2026-07-07T02:18:54Z"},{"alias_kind":"pith_short_8","alias_value":"6IJLWECI","created_at":"2026-07-07T02:18:54Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:6IJLWECIKN2IYOON243XAVQKAZ","target":"record","payload":{"canonical_record":{"source":{"id":"2607.04031","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AR","submitted_at":"2026-07-04T21:19:49Z","cross_cats_sorted":[],"title_canon_sha256":"e10351dab061711f235fac72348d4b566ff45d0da0f35c292c0acf9c255eaa49","abstract_canon_sha256":"08e584666597f24f5ae224c50b0150af9811dacd8b6d21f157842fbc9b01d618"},"schema_version":"1.0"},"canonical_sha256":"f212bb104853748c39cdd73770560a0651cd7b8451b9a46492bea840a5cbe484","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-07T02:18:54.049938Z","signature_b64":"O4eEC/GuvLOO5k4aoEccEJ+yqaJ57uTEs8NZKhvvcVYH91dXwgjIDcbHSCpG/ETOjWJobkIGZfo1xs3luQaXBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f212bb104853748c39cdd73770560a0651cd7b8451b9a46492bea840a5cbe484","last_reissued_at":"2026-07-07T02:18:54.049064Z","signature_status":"signed_v1","first_computed_at":"2026-07-07T02:18:54.049064Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.04031","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":"2026-07-07T02:18:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rXRrl/28yNTKVLr5qrWRMC4IUq03Xr4Zk5QkFWnd/YOcHNvOyCcJxDbPwfN9UVLsE6jN04+dLJcYBV5BLg3zAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T16:19:24.654069Z"},"content_sha256":"0e271772484ccb363690b9467e2d40edf198ed89bc35552da81be10c5d652679","schema_version":"1.0","event_id":"sha256:0e271772484ccb363690b9467e2d40edf198ed89bc35552da81be10c5d652679"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:6IJLWECIKN2IYOON243XAVQKAZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"TileLens: Efficiently Using Large-Granularity Memory Systems with Transparent Two-Dimensional Memory Layout","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AR","authors_text":"Anish Saxena, Euijun Chung, Hritvik Taneja, Hyesoon Kim, Jae Hyung Ju, Moinuddin K. Qureshi, Shinnung Jeong","submitted_at":"2026-07-04T21:19:49Z","abstract_excerpt":"Large Language Model (LLM) inference is bottlenecked by the capacity and bandwidth of GPU High-Bandwidth Memory (HBM). Recent proposals, such as High-Bandwidth Flash (HBF) and RoMe, offer higher capacity or bandwidth than HBM, but require a minimum access granularity of kilobytes. We show that these Large-Granularity Memory Systems (LGMS) can degrade the performance of tiled matrix-multiplication, which is the dominant operation in LLM inference, by up to an order of magnitude. The root cause of the slowdown is read amplification, where memory requests fetch far more data than the tile actuall"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.04031","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/2607.04031/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":"2026-07-07T02:18:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oAfdECi0Wm3qf88Z3dMWtPieCKLEr7V6NMiSmyqsNdPjEAXxJMqMyETvnTyK/s3T4HZsZitbWPFyCOBMUhY+AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T16:19:24.654982Z"},"content_sha256":"f76cda76fddd4c009fdbeab898175489659e2551b61c650a0ad7668e51dbc33f","schema_version":"1.0","event_id":"sha256:f76cda76fddd4c009fdbeab898175489659e2551b61c650a0ad7668e51dbc33f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6IJLWECIKN2IYOON243XAVQKAZ/bundle.json","state_url":"https://pith.science/pith/6IJLWECIKN2IYOON243XAVQKAZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6IJLWECIKN2IYOON243XAVQKAZ/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":"2026-08-03T16:19:24Z","links":{"resolver":"https://pith.science/pith/6IJLWECIKN2IYOON243XAVQKAZ","bundle":"https://pith.science/pith/6IJLWECIKN2IYOON243XAVQKAZ/bundle.json","state":"https://pith.science/pith/6IJLWECIKN2IYOON243XAVQKAZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6IJLWECIKN2IYOON243XAVQKAZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:6IJLWECIKN2IYOON243XAVQKAZ","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":"08e584666597f24f5ae224c50b0150af9811dacd8b6d21f157842fbc9b01d618","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AR","submitted_at":"2026-07-04T21:19:49Z","title_canon_sha256":"e10351dab061711f235fac72348d4b566ff45d0da0f35c292c0acf9c255eaa49"},"schema_version":"1.0","source":{"id":"2607.04031","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.04031","created_at":"2026-07-07T02:18:54Z"},{"alias_kind":"arxiv_version","alias_value":"2607.04031v1","created_at":"2026-07-07T02:18:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.04031","created_at":"2026-07-07T02:18:54Z"},{"alias_kind":"pith_short_12","alias_value":"6IJLWECIKN2I","created_at":"2026-07-07T02:18:54Z"},{"alias_kind":"pith_short_16","alias_value":"6IJLWECIKN2IYOON","created_at":"2026-07-07T02:18:54Z"},{"alias_kind":"pith_short_8","alias_value":"6IJLWECI","created_at":"2026-07-07T02:18:54Z"}],"graph_snapshots":[{"event_id":"sha256:f76cda76fddd4c009fdbeab898175489659e2551b61c650a0ad7668e51dbc33f","target":"graph","created_at":"2026-07-07T02:18:54Z","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/2607.04031/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Language Model (LLM) inference is bottlenecked by the capacity and bandwidth of GPU High-Bandwidth Memory (HBM). Recent proposals, such as High-Bandwidth Flash (HBF) and RoMe, offer higher capacity or bandwidth than HBM, but require a minimum access granularity of kilobytes. We show that these Large-Granularity Memory Systems (LGMS) can degrade the performance of tiled matrix-multiplication, which is the dominant operation in LLM inference, by up to an order of magnitude. The root cause of the slowdown is read amplification, where memory requests fetch far more data than the tile actuall","authors_text":"Anish Saxena, Euijun Chung, Hritvik Taneja, Hyesoon Kim, Jae Hyung Ju, Moinuddin K. Qureshi, Shinnung Jeong","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AR","submitted_at":"2026-07-04T21:19:49Z","title":"TileLens: Efficiently Using Large-Granularity Memory Systems with Transparent Two-Dimensional Memory Layout"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.04031","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":"sha256:0e271772484ccb363690b9467e2d40edf198ed89bc35552da81be10c5d652679","target":"record","created_at":"2026-07-07T02:18:54Z","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":"08e584666597f24f5ae224c50b0150af9811dacd8b6d21f157842fbc9b01d618","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AR","submitted_at":"2026-07-04T21:19:49Z","title_canon_sha256":"e10351dab061711f235fac72348d4b566ff45d0da0f35c292c0acf9c255eaa49"},"schema_version":"1.0","source":{"id":"2607.04031","kind":"arxiv","version":1}},"canonical_sha256":"f212bb104853748c39cdd73770560a0651cd7b8451b9a46492bea840a5cbe484","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f212bb104853748c39cdd73770560a0651cd7b8451b9a46492bea840a5cbe484","first_computed_at":"2026-07-07T02:18:54.049064Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-07T02:18:54.049064Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"O4eEC/GuvLOO5k4aoEccEJ+yqaJ57uTEs8NZKhvvcVYH91dXwgjIDcbHSCpG/ETOjWJobkIGZfo1xs3luQaXBg==","signature_status":"signed_v1","signed_at":"2026-07-07T02:18:54.049938Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.04031","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0e271772484ccb363690b9467e2d40edf198ed89bc35552da81be10c5d652679","sha256:f76cda76fddd4c009fdbeab898175489659e2551b61c650a0ad7668e51dbc33f"],"state_sha256":"90618d1feb161184be75b445e950bd39c854ca4c304c97ecac6175216746336d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RW7rypdVOkWcOLrQ8YUsEKEQoFHk8XtIx/0EgPdaXNb9XUgfIRi2Bz3xPkDxeiy6ASNVjyZeasWGUr6MxMRrDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T16:19:24.660256Z","bundle_sha256":"d5184c0ef4eae388a1080b928bd335de4d43f1335ec7b9a06e6becdb28ce2394"}}