{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:MMR64ZJH2EFWFYUKNXBOPS53VA","short_pith_number":"pith:MMR64ZJH","canonical_record":{"source":{"id":"2404.14436","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-04-19T20:03:30Z","cross_cats_sorted":["hep-ex","nucl-ex","physics.ins-det"],"title_canon_sha256":"7aa041423a72b2288a1f6ef427ede1ab4764a2a7f3d6853d18856e60fc7e714d","abstract_canon_sha256":"bf8e0cdfa04edfc8f8e29352b5b2ed1f84801e5a5dc8eae2d566c14c331d9fae"},"schema_version":"1.0"},"canonical_sha256":"6323ee6527d10b62e28a6dc2e7cbbba81ad45c6abde14fc0a429143356023945","source":{"kind":"arxiv","id":"2404.14436","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.14436","created_at":"2026-07-05T08:50:11Z"},{"alias_kind":"arxiv_version","alias_value":"2404.14436v2","created_at":"2026-07-05T08:50:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.14436","created_at":"2026-07-05T08:50:11Z"},{"alias_kind":"pith_short_12","alias_value":"MMR64ZJH2EFW","created_at":"2026-07-05T08:50:11Z"},{"alias_kind":"pith_short_16","alias_value":"MMR64ZJH2EFWFYUK","created_at":"2026-07-05T08:50:11Z"},{"alias_kind":"pith_short_8","alias_value":"MMR64ZJH","created_at":"2026-07-05T08:50:11Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:MMR64ZJH2EFWFYUKNXBOPS53VA","target":"record","payload":{"canonical_record":{"source":{"id":"2404.14436","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-04-19T20:03:30Z","cross_cats_sorted":["hep-ex","nucl-ex","physics.ins-det"],"title_canon_sha256":"7aa041423a72b2288a1f6ef427ede1ab4764a2a7f3d6853d18856e60fc7e714d","abstract_canon_sha256":"bf8e0cdfa04edfc8f8e29352b5b2ed1f84801e5a5dc8eae2d566c14c331d9fae"},"schema_version":"1.0"},"canonical_sha256":"6323ee6527d10b62e28a6dc2e7cbbba81ad45c6abde14fc0a429143356023945","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:50:11.507429Z","signature_b64":"DKgv3EJcLoYhSHAmpk8E4wSW4aFh/GcoWkl6AjS9hsUa/kLoJSg7RuK645io/iw090eZhdR/+VjOFSwxP4aDAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6323ee6527d10b62e28a6dc2e7cbbba81ad45c6abde14fc0a429143356023945","last_reissued_at":"2026-07-05T08:50:11.506918Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:50:11.506918Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2404.14436","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:50:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cZAe2vbXWVslZLFrNNFk+A98ePnZRhDYVOJdfpDmH2m/hycypiNv0OP946Pb1gqrtJj5IA/QlsAjgaZ7Dp/xAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-01T07:04:43.780381Z"},"content_sha256":"e01267a4418e938e1a70c2a4f105a5b495c8cc6f060f74722552a5d0e0a37a33","schema_version":"1.0","event_id":"sha256:e01267a4418e938e1a70c2a4f105a5b495c8cc6f060f74722552a5d0e0a37a33"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:MMR64ZJH2EFWFYUKNXBOPS53VA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Investigating Resource-efficient Neutron/Gamma Classification ML Models Targeting eFPGAs","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["hep-ex","nucl-ex","physics.ins-det"],"primary_cat":"cs.LG","authors_text":"Billy Boxer, Carl Grace, Jyothisraj Johnson, Mani Tripathi, Peter Sorensen, Tarun Prakash","submitted_at":"2024-04-19T20:03:30Z","abstract_excerpt":"There has been considerable interest and resulting progress in implementing machine learning (ML) models in hardware over the last several years from the particle and nuclear physics communities. A big driver has been the release of the Python package, hls4ml, which has enabled porting models specified and trained using Python ML libraries to register transfer level (RTL) code. So far, the primary end targets have been commercial FPGAs or synthesized custom blocks on ASICs. However, recent developments in open-source embedded FPGA (eFPGA) frameworks now provide an alternate, more flexible path"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.14436","kind":"arxiv","version":2},"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/2404.14436/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":"2026-07-05T08:50:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KUcjphExokZclB4dZ6mKhf/ztmf3mE2Q8Ybfa5YZH3HFs0CX/EICkhtngaCj+RDDU69MCSzYNrUKiFSwQP/NBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-01T07:04:43.780913Z"},"content_sha256":"76770b6411309385ed49159fa5a2624e2f1d4cf24f2f73a85033c327fbea067f","schema_version":"1.0","event_id":"sha256:76770b6411309385ed49159fa5a2624e2f1d4cf24f2f73a85033c327fbea067f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MMR64ZJH2EFWFYUKNXBOPS53VA/bundle.json","state_url":"https://pith.science/pith/MMR64ZJH2EFWFYUKNXBOPS53VA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MMR64ZJH2EFWFYUKNXBOPS53VA/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":"2026-08-01T07:04:43Z","links":{"resolver":"https://pith.science/pith/MMR64ZJH2EFWFYUKNXBOPS53VA","bundle":"https://pith.science/pith/MMR64ZJH2EFWFYUKNXBOPS53VA/bundle.json","state":"https://pith.science/pith/MMR64ZJH2EFWFYUKNXBOPS53VA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MMR64ZJH2EFWFYUKNXBOPS53VA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:MMR64ZJH2EFWFYUKNXBOPS53VA","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":"bf8e0cdfa04edfc8f8e29352b5b2ed1f84801e5a5dc8eae2d566c14c331d9fae","cross_cats_sorted":["hep-ex","nucl-ex","physics.ins-det"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-04-19T20:03:30Z","title_canon_sha256":"7aa041423a72b2288a1f6ef427ede1ab4764a2a7f3d6853d18856e60fc7e714d"},"schema_version":"1.0","source":{"id":"2404.14436","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.14436","created_at":"2026-07-05T08:50:11Z"},{"alias_kind":"arxiv_version","alias_value":"2404.14436v2","created_at":"2026-07-05T08:50:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.14436","created_at":"2026-07-05T08:50:11Z"},{"alias_kind":"pith_short_12","alias_value":"MMR64ZJH2EFW","created_at":"2026-07-05T08:50:11Z"},{"alias_kind":"pith_short_16","alias_value":"MMR64ZJH2EFWFYUK","created_at":"2026-07-05T08:50:11Z"},{"alias_kind":"pith_short_8","alias_value":"MMR64ZJH","created_at":"2026-07-05T08:50:11Z"}],"graph_snapshots":[{"event_id":"sha256:76770b6411309385ed49159fa5a2624e2f1d4cf24f2f73a85033c327fbea067f","target":"graph","created_at":"2026-07-05T08:50:11Z","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/2404.14436/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"There has been considerable interest and resulting progress in implementing machine learning (ML) models in hardware over the last several years from the particle and nuclear physics communities. A big driver has been the release of the Python package, hls4ml, which has enabled porting models specified and trained using Python ML libraries to register transfer level (RTL) code. So far, the primary end targets have been commercial FPGAs or synthesized custom blocks on ASICs. However, recent developments in open-source embedded FPGA (eFPGA) frameworks now provide an alternate, more flexible path","authors_text":"Billy Boxer, Carl Grace, Jyothisraj Johnson, Mani Tripathi, Peter Sorensen, Tarun Prakash","cross_cats":["hep-ex","nucl-ex","physics.ins-det"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-04-19T20:03:30Z","title":"Investigating Resource-efficient Neutron/Gamma Classification ML Models Targeting eFPGAs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.14436","kind":"arxiv","version":2},"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:e01267a4418e938e1a70c2a4f105a5b495c8cc6f060f74722552a5d0e0a37a33","target":"record","created_at":"2026-07-05T08:50:11Z","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":"bf8e0cdfa04edfc8f8e29352b5b2ed1f84801e5a5dc8eae2d566c14c331d9fae","cross_cats_sorted":["hep-ex","nucl-ex","physics.ins-det"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-04-19T20:03:30Z","title_canon_sha256":"7aa041423a72b2288a1f6ef427ede1ab4764a2a7f3d6853d18856e60fc7e714d"},"schema_version":"1.0","source":{"id":"2404.14436","kind":"arxiv","version":2}},"canonical_sha256":"6323ee6527d10b62e28a6dc2e7cbbba81ad45c6abde14fc0a429143356023945","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6323ee6527d10b62e28a6dc2e7cbbba81ad45c6abde14fc0a429143356023945","first_computed_at":"2026-07-05T08:50:11.506918Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:50:11.506918Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"DKgv3EJcLoYhSHAmpk8E4wSW4aFh/GcoWkl6AjS9hsUa/kLoJSg7RuK645io/iw090eZhdR/+VjOFSwxP4aDAA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:50:11.507429Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.14436","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e01267a4418e938e1a70c2a4f105a5b495c8cc6f060f74722552a5d0e0a37a33","sha256:76770b6411309385ed49159fa5a2624e2f1d4cf24f2f73a85033c327fbea067f"],"state_sha256":"fa5bae9be0bf24bd4c1dc6d0e88bc86fcdd2dd8473eb09d3c0cbf36128cdfe62"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pxjGbKZ04TgvdoyEiQBOiKrBkzUoVB34tqZffdSEQ5loPAatDXPr2q1LjP7Csbqi4iwEDcyF/bJf6jRk96t5Ag==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-01T07:04:43.785628Z","bundle_sha256":"3ab225ebda4d052c44b702c164c35e420b8bfe16ce9b5f957fd0fc7da984ead8"}}