{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:UA3O34FJWQF5L2EBHHOU4IAEUC","short_pith_number":"pith:UA3O34FJ","canonical_record":{"source":{"id":"2412.15666","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AR","submitted_at":"2024-12-20T08:30:40Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"8a9724232716259ae46c5ae856a5479c59b1f8968ca4987ec8d7f0ab0440b5ae","abstract_canon_sha256":"e987d38a3ad80dd30b18b8a415a86027c4feadf43ee7d33e7d474fd32c984c9e"},"schema_version":"1.0"},"canonical_sha256":"a036edf0a9b40bd5e88139dd4e2004a081c404fd8873e3e751a5a99a9eb3472b","source":{"kind":"arxiv","id":"2412.15666","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.15666","created_at":"2026-07-05T09:52:28Z"},{"alias_kind":"arxiv_version","alias_value":"2412.15666v1","created_at":"2026-07-05T09:52:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.15666","created_at":"2026-07-05T09:52:28Z"},{"alias_kind":"pith_short_12","alias_value":"UA3O34FJWQF5","created_at":"2026-07-05T09:52:28Z"},{"alias_kind":"pith_short_16","alias_value":"UA3O34FJWQF5L2EB","created_at":"2026-07-05T09:52:28Z"},{"alias_kind":"pith_short_8","alias_value":"UA3O34FJ","created_at":"2026-07-05T09:52:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:UA3O34FJWQF5L2EBHHOU4IAEUC","target":"record","payload":{"canonical_record":{"source":{"id":"2412.15666","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AR","submitted_at":"2024-12-20T08:30:40Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"8a9724232716259ae46c5ae856a5479c59b1f8968ca4987ec8d7f0ab0440b5ae","abstract_canon_sha256":"e987d38a3ad80dd30b18b8a415a86027c4feadf43ee7d33e7d474fd32c984c9e"},"schema_version":"1.0"},"canonical_sha256":"a036edf0a9b40bd5e88139dd4e2004a081c404fd8873e3e751a5a99a9eb3472b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:52:28.010057Z","signature_b64":"5VJYfnwF5sNTNwxGgJIzIyhTjsFKdxdUWW3v4ELEUxBihF/zI34IpBDuSYopXMsbCSIIgMgtIfqaBGG0proYDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a036edf0a9b40bd5e88139dd4e2004a081c404fd8873e3e751a5a99a9eb3472b","last_reissued_at":"2026-07-05T09:52:28.009484Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:52:28.009484Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.15666","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":"2026-07-05T09:52:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ei8gSV3XZSXP3nBud5H+0NXUyPlA0C29JVY8rjD9BFyA+UCg5Mf+CPap1SDVEys4ANC/5a5vntjYjNcLczRpDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T07:21:12.068965Z"},"content_sha256":"62fcf2c51ad7ea863ea614008012b1a3b093fa5e6a008a1a6d1b2c70c0da9947","schema_version":"1.0","event_id":"sha256:62fcf2c51ad7ea863ea614008012b1a3b093fa5e6a008a1a6d1b2c70c0da9947"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:UA3O34FJWQF5L2EBHHOU4IAEUC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A survey on FPGA-based accelerator for ML models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.AR","authors_text":"Andreas Koch, Feng Yan, Oliver Sinnen","submitted_at":"2024-12-20T08:30:40Z","abstract_excerpt":"This paper thoroughly surveys machine learning (ML) algorithms acceleration in hardware accelerators, focusing on Field-Programmable Gate Arrays (FPGAs). It reviews 287 out of 1138 papers from the past six years, sourced from four top FPGA conferences. Such selection underscores the increasing integration of ML and FPGA technologies and their mutual importance in technological advancement. Research clearly emphasises inference acceleration (81\\%) compared to training acceleration (13\\%). Additionally, the findings reveals that CNN dominates current FPGA acceleration research while emerging mod"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.15666","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/2412.15666/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":"2026-07-05T09:52:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fA6aToS+dlzgk52aNlv27Ch/+Ht6I4fPKVTsvJyU1mDy9V6Coe85jc40kzpz6nP8ITSWXGK+o61cEAjvEZxhAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T07:21:12.069484Z"},"content_sha256":"f01d749517719f5a2fc5a29dda99a5688f94adcd55a815708b0aef5acfbf2a24","schema_version":"1.0","event_id":"sha256:f01d749517719f5a2fc5a29dda99a5688f94adcd55a815708b0aef5acfbf2a24"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UA3O34FJWQF5L2EBHHOU4IAEUC/bundle.json","state_url":"https://pith.science/pith/UA3O34FJWQF5L2EBHHOU4IAEUC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UA3O34FJWQF5L2EBHHOU4IAEUC/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":"2026-08-09T07:21:12Z","links":{"resolver":"https://pith.science/pith/UA3O34FJWQF5L2EBHHOU4IAEUC","bundle":"https://pith.science/pith/UA3O34FJWQF5L2EBHHOU4IAEUC/bundle.json","state":"https://pith.science/pith/UA3O34FJWQF5L2EBHHOU4IAEUC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UA3O34FJWQF5L2EBHHOU4IAEUC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:UA3O34FJWQF5L2EBHHOU4IAEUC","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":"e987d38a3ad80dd30b18b8a415a86027c4feadf43ee7d33e7d474fd32c984c9e","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AR","submitted_at":"2024-12-20T08:30:40Z","title_canon_sha256":"8a9724232716259ae46c5ae856a5479c59b1f8968ca4987ec8d7f0ab0440b5ae"},"schema_version":"1.0","source":{"id":"2412.15666","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.15666","created_at":"2026-07-05T09:52:28Z"},{"alias_kind":"arxiv_version","alias_value":"2412.15666v1","created_at":"2026-07-05T09:52:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.15666","created_at":"2026-07-05T09:52:28Z"},{"alias_kind":"pith_short_12","alias_value":"UA3O34FJWQF5","created_at":"2026-07-05T09:52:28Z"},{"alias_kind":"pith_short_16","alias_value":"UA3O34FJWQF5L2EB","created_at":"2026-07-05T09:52:28Z"},{"alias_kind":"pith_short_8","alias_value":"UA3O34FJ","created_at":"2026-07-05T09:52:28Z"}],"graph_snapshots":[{"event_id":"sha256:f01d749517719f5a2fc5a29dda99a5688f94adcd55a815708b0aef5acfbf2a24","target":"graph","created_at":"2026-07-05T09:52:28Z","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/2412.15666/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper thoroughly surveys machine learning (ML) algorithms acceleration in hardware accelerators, focusing on Field-Programmable Gate Arrays (FPGAs). It reviews 287 out of 1138 papers from the past six years, sourced from four top FPGA conferences. Such selection underscores the increasing integration of ML and FPGA technologies and their mutual importance in technological advancement. Research clearly emphasises inference acceleration (81\\%) compared to training acceleration (13\\%). Additionally, the findings reveals that CNN dominates current FPGA acceleration research while emerging mod","authors_text":"Andreas Koch, Feng Yan, Oliver Sinnen","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AR","submitted_at":"2024-12-20T08:30:40Z","title":"A survey on FPGA-based accelerator for ML models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.15666","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":"sha256:62fcf2c51ad7ea863ea614008012b1a3b093fa5e6a008a1a6d1b2c70c0da9947","target":"record","created_at":"2026-07-05T09:52:28Z","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":"e987d38a3ad80dd30b18b8a415a86027c4feadf43ee7d33e7d474fd32c984c9e","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AR","submitted_at":"2024-12-20T08:30:40Z","title_canon_sha256":"8a9724232716259ae46c5ae856a5479c59b1f8968ca4987ec8d7f0ab0440b5ae"},"schema_version":"1.0","source":{"id":"2412.15666","kind":"arxiv","version":1}},"canonical_sha256":"a036edf0a9b40bd5e88139dd4e2004a081c404fd8873e3e751a5a99a9eb3472b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a036edf0a9b40bd5e88139dd4e2004a081c404fd8873e3e751a5a99a9eb3472b","first_computed_at":"2026-07-05T09:52:28.009484Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:52:28.009484Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5VJYfnwF5sNTNwxGgJIzIyhTjsFKdxdUWW3v4ELEUxBihF/zI34IpBDuSYopXMsbCSIIgMgtIfqaBGG0proYDw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:52:28.010057Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.15666","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:62fcf2c51ad7ea863ea614008012b1a3b093fa5e6a008a1a6d1b2c70c0da9947","sha256:f01d749517719f5a2fc5a29dda99a5688f94adcd55a815708b0aef5acfbf2a24"],"state_sha256":"0c2b9ba7cb766e966df925ed863a73c59ef6a184da25eb00ab8a7fe686277a47"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hhHre3IfNEFZX5+y265P1KM6WNSX80PaMizMpHi+ewFj3IoVcW28nYbV9+yvsW2wxAfZZIqceJJe4+OrcPrUDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T07:21:12.074623Z","bundle_sha256":"9afa0a5082f024cd2fd9323a0587f161e9ce9f66322e63f624e5027ec136856b"}}