{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:WT4GQPKUZVAREOY2K2YS26U2LB","short_pith_number":"pith:WT4GQPKU","canonical_record":{"source":{"id":"2408.09209","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AR","submitted_at":"2024-08-17T14:25:32Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"e1f5ee8d2a9e57182aca00b25a6263b9f4133243335b71ffbc6b88d53877abab","abstract_canon_sha256":"e8f96b979e0ef96e1e0525e9e14bfa66e602463878c2be9dd40e1efad7b671a9"},"schema_version":"1.0"},"canonical_sha256":"b4f8683d54cd41123b1a56b12d7a9a585e7c71bcbf8bb9e1b97ddbc588bdc086","source":{"kind":"arxiv","id":"2408.09209","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.09209","created_at":"2026-07-05T08:56:29Z"},{"alias_kind":"arxiv_version","alias_value":"2408.09209v1","created_at":"2026-07-05T08:56:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.09209","created_at":"2026-07-05T08:56:29Z"},{"alias_kind":"pith_short_12","alias_value":"WT4GQPKUZVAR","created_at":"2026-07-05T08:56:29Z"},{"alias_kind":"pith_short_16","alias_value":"WT4GQPKUZVAREOY2","created_at":"2026-07-05T08:56:29Z"},{"alias_kind":"pith_short_8","alias_value":"WT4GQPKU","created_at":"2026-07-05T08:56:29Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:WT4GQPKUZVAREOY2K2YS26U2LB","target":"record","payload":{"canonical_record":{"source":{"id":"2408.09209","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AR","submitted_at":"2024-08-17T14:25:32Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"e1f5ee8d2a9e57182aca00b25a6263b9f4133243335b71ffbc6b88d53877abab","abstract_canon_sha256":"e8f96b979e0ef96e1e0525e9e14bfa66e602463878c2be9dd40e1efad7b671a9"},"schema_version":"1.0"},"canonical_sha256":"b4f8683d54cd41123b1a56b12d7a9a585e7c71bcbf8bb9e1b97ddbc588bdc086","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:56:29.750052Z","signature_b64":"q19/wKPOY1dbnfRI1cdJSonaj3+yD/NgLz+8DpIiZkfNiz5pmsyXZ5QJjHhmeaIAEvTAI8hqJv9HfK9KoBjqBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b4f8683d54cd41123b1a56b12d7a9a585e7c71bcbf8bb9e1b97ddbc588bdc086","last_reissued_at":"2026-07-05T08:56:29.749610Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:56:29.749610Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2408.09209","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":"2026-07-05T08:56:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wiW3aTgjMYxQhnVAP1jKPdTnjgj9G58GXVgTW0nFIwotsLahhe95vT3Ucz8ZsJIj+rolANVq4YcpGKHfeG2LBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T09:50:17.209592Z"},"content_sha256":"54e6ad89daf91a7656df9c36675922d355ba24a961ed64375786106b182b9ad1","schema_version":"1.0","event_id":"sha256:54e6ad89daf91a7656df9c36675922d355ba24a961ed64375786106b182b9ad1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:WT4GQPKUZVAREOY2K2YS26U2LB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"H2PIPE: High throughput CNN Inference on FPGAs with High-Bandwidth Memory","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.AR","authors_text":"Mario Doumet, Marius Stan, Mathew Hall, Vaughn Betz","submitted_at":"2024-08-17T14:25:32Z","abstract_excerpt":"Convolutional Neural Networks (CNNs) combine large amounts of parallelizable computation with frequent memory access. Field Programmable Gate Arrays (FPGAs) can achieve low latency and high throughput CNN inference by implementing dataflow accelerators that pipeline layer-specific hardware to implement an entire network. By implementing a different processing element for each CNN layer, these layer-pipelined accelerators can achieve high compute density, but having all layers processing in parallel requires high memory bandwidth. Traditionally this has been satisfied by storing all weights on "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.09209","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/2408.09209/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":"2026-07-05T08:56:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"37L9atis8dvQ2IrT9zW1CXEwSx87ZI8TKwnuA4w6qeTeffx2/jTPqqFpCy+EEoxEyvvJj/df82uxFDxsyDx7CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T09:50:17.210148Z"},"content_sha256":"71006d02fb397a2323602d6cee672674a6a407a0e3b856050b4b4587a08b2389","schema_version":"1.0","event_id":"sha256:71006d02fb397a2323602d6cee672674a6a407a0e3b856050b4b4587a08b2389"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WT4GQPKUZVAREOY2K2YS26U2LB/bundle.json","state_url":"https://pith.science/pith/WT4GQPKUZVAREOY2K2YS26U2LB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WT4GQPKUZVAREOY2K2YS26U2LB/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":"2026-08-06T09:50:17Z","links":{"resolver":"https://pith.science/pith/WT4GQPKUZVAREOY2K2YS26U2LB","bundle":"https://pith.science/pith/WT4GQPKUZVAREOY2K2YS26U2LB/bundle.json","state":"https://pith.science/pith/WT4GQPKUZVAREOY2K2YS26U2LB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WT4GQPKUZVAREOY2K2YS26U2LB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:WT4GQPKUZVAREOY2K2YS26U2LB","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":"e8f96b979e0ef96e1e0525e9e14bfa66e602463878c2be9dd40e1efad7b671a9","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AR","submitted_at":"2024-08-17T14:25:32Z","title_canon_sha256":"e1f5ee8d2a9e57182aca00b25a6263b9f4133243335b71ffbc6b88d53877abab"},"schema_version":"1.0","source":{"id":"2408.09209","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.09209","created_at":"2026-07-05T08:56:29Z"},{"alias_kind":"arxiv_version","alias_value":"2408.09209v1","created_at":"2026-07-05T08:56:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.09209","created_at":"2026-07-05T08:56:29Z"},{"alias_kind":"pith_short_12","alias_value":"WT4GQPKUZVAR","created_at":"2026-07-05T08:56:29Z"},{"alias_kind":"pith_short_16","alias_value":"WT4GQPKUZVAREOY2","created_at":"2026-07-05T08:56:29Z"},{"alias_kind":"pith_short_8","alias_value":"WT4GQPKU","created_at":"2026-07-05T08:56:29Z"}],"graph_snapshots":[{"event_id":"sha256:71006d02fb397a2323602d6cee672674a6a407a0e3b856050b4b4587a08b2389","target":"graph","created_at":"2026-07-05T08:56:29Z","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/2408.09209/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Convolutional Neural Networks (CNNs) combine large amounts of parallelizable computation with frequent memory access. Field Programmable Gate Arrays (FPGAs) can achieve low latency and high throughput CNN inference by implementing dataflow accelerators that pipeline layer-specific hardware to implement an entire network. By implementing a different processing element for each CNN layer, these layer-pipelined accelerators can achieve high compute density, but having all layers processing in parallel requires high memory bandwidth. Traditionally this has been satisfied by storing all weights on ","authors_text":"Mario Doumet, Marius Stan, Mathew Hall, Vaughn Betz","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AR","submitted_at":"2024-08-17T14:25:32Z","title":"H2PIPE: High throughput CNN Inference on FPGAs with High-Bandwidth Memory"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.09209","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":"sha256:54e6ad89daf91a7656df9c36675922d355ba24a961ed64375786106b182b9ad1","target":"record","created_at":"2026-07-05T08:56:29Z","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":"e8f96b979e0ef96e1e0525e9e14bfa66e602463878c2be9dd40e1efad7b671a9","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AR","submitted_at":"2024-08-17T14:25:32Z","title_canon_sha256":"e1f5ee8d2a9e57182aca00b25a6263b9f4133243335b71ffbc6b88d53877abab"},"schema_version":"1.0","source":{"id":"2408.09209","kind":"arxiv","version":1}},"canonical_sha256":"b4f8683d54cd41123b1a56b12d7a9a585e7c71bcbf8bb9e1b97ddbc588bdc086","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b4f8683d54cd41123b1a56b12d7a9a585e7c71bcbf8bb9e1b97ddbc588bdc086","first_computed_at":"2026-07-05T08:56:29.749610Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:56:29.749610Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"q19/wKPOY1dbnfRI1cdJSonaj3+yD/NgLz+8DpIiZkfNiz5pmsyXZ5QJjHhmeaIAEvTAI8hqJv9HfK9KoBjqBg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:56:29.750052Z","signed_message":"canonical_sha256_bytes"},"source_id":"2408.09209","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:54e6ad89daf91a7656df9c36675922d355ba24a961ed64375786106b182b9ad1","sha256:71006d02fb397a2323602d6cee672674a6a407a0e3b856050b4b4587a08b2389"],"state_sha256":"dafae8db3a6616a478eb0b079e13ba526336643c572997437f140700f432dd31"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xCed3QfDcdCbWXK2uCUngyD3/RZ6/ZszOCtV05yaJKpJ/RjnHY2cdQZ2a5bc2sckXrKwDyF/OdmdHy/R14Z7Bw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T09:50:17.213607Z","bundle_sha256":"337efbf91482512dc51726cafbe1b6755faf67861300d6726a5b84f33007134d"}}