{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:CDP7BVIVQ5WS7D2FSTI6T74RKJ","short_pith_number":"pith:CDP7BVIV","canonical_record":{"source":{"id":"2507.03255","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AR","submitted_at":"2025-07-04T02:23:46Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"4036da8977f438f7bcaa118a81700b776be9ad21f0394428144c19add2684bd6","abstract_canon_sha256":"b130f283ecd26e9b5115f8f08436d9d6be7f8b14a0796dbf6059c1d92c1dc2d8"},"schema_version":"1.0"},"canonical_sha256":"10dff0d515876d2f8f4594d1e9ff915244c41de46b4718fd10ea9ed2208c794d","source":{"kind":"arxiv","id":"2507.03255","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.03255","created_at":"2026-07-05T11:48:04Z"},{"alias_kind":"arxiv_version","alias_value":"2507.03255v3","created_at":"2026-07-05T11:48:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.03255","created_at":"2026-07-05T11:48:04Z"},{"alias_kind":"pith_short_12","alias_value":"CDP7BVIVQ5WS","created_at":"2026-07-05T11:48:04Z"},{"alias_kind":"pith_short_16","alias_value":"CDP7BVIVQ5WS7D2F","created_at":"2026-07-05T11:48:04Z"},{"alias_kind":"pith_short_8","alias_value":"CDP7BVIV","created_at":"2026-07-05T11:48:04Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:CDP7BVIVQ5WS7D2FSTI6T74RKJ","target":"record","payload":{"canonical_record":{"source":{"id":"2507.03255","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AR","submitted_at":"2025-07-04T02:23:46Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"4036da8977f438f7bcaa118a81700b776be9ad21f0394428144c19add2684bd6","abstract_canon_sha256":"b130f283ecd26e9b5115f8f08436d9d6be7f8b14a0796dbf6059c1d92c1dc2d8"},"schema_version":"1.0"},"canonical_sha256":"10dff0d515876d2f8f4594d1e9ff915244c41de46b4718fd10ea9ed2208c794d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:48:04.969948Z","signature_b64":"DaUtHz7j5/d+ZDNxgjM2JRYhCQmsuKTIWioZ7X3OjJbH9fjBrP+1Hy6U6GUQ/n9YG+kICZwbpaN95tmcbM5oDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"10dff0d515876d2f8f4594d1e9ff915244c41de46b4718fd10ea9ed2208c794d","last_reissued_at":"2026-07-05T11:48:04.969418Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:48:04.969418Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.03255","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:48:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZxpJdR/SystKeHZXS+fRGZHCF4IpCS9Gk2Xl3B9Pad2IOwLtklvdxiavV1IootYaLbqylVDDH0fl0uJLg290BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T08:17:14.916437Z"},"content_sha256":"97dda7ca1113c4bfdfc0bba932d2d49378a011a1874f4c861430025f8afe4f39","schema_version":"1.0","event_id":"sha256:97dda7ca1113c4bfdfc0bba932d2d49378a011a1874f4c861430025f8afe4f39"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:CDP7BVIVQ5WS7D2FSTI6T74RKJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ForgeHLS: A Large-Scale, Open-Source Dataset for High-Level Synthesis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.AR","authors_text":"Chen Zhang, Jieru Zhao, Mingzhe Gao, Qiang Xu, Zedong Peng, Zeju Li","submitted_at":"2025-07-04T02:23:46Z","abstract_excerpt":"High-Level Synthesis (HLS) plays a crucial role in modern hardware design by transforming high-level code into optimized hardware implementations. However, progress in applying machine learning (ML) to HLS optimization has been hindered by a shortage of sufficiently large and diverse datasets. To bridge this gap, we introduce ForgeHLS, a large-scale, open-source dataset explicitly designed for ML-driven HLS research. ForgeHLS comprises over 400k diverse designs generated from 846 kernels covering a broad range of application domains, consuming over 200k CPU hours during dataset construction. E"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.03255","kind":"arxiv","version":3},"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/2507.03255/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":"2026-07-05T11:48:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bdn6FIr6YYzm4pBnoDYdgEmMhoArd4apqFVDvDgaC0/H+xVfOzOvXHWTkirRoSA7/HTWMjI57ARW/vx1TBRfCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T08:17:14.917007Z"},"content_sha256":"322710b88fafdbaed0f57f82c077034df994dfefe8233f690680303007cff47a","schema_version":"1.0","event_id":"sha256:322710b88fafdbaed0f57f82c077034df994dfefe8233f690680303007cff47a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CDP7BVIVQ5WS7D2FSTI6T74RKJ/bundle.json","state_url":"https://pith.science/pith/CDP7BVIVQ5WS7D2FSTI6T74RKJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CDP7BVIVQ5WS7D2FSTI6T74RKJ/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":"2026-08-10T08:17:14Z","links":{"resolver":"https://pith.science/pith/CDP7BVIVQ5WS7D2FSTI6T74RKJ","bundle":"https://pith.science/pith/CDP7BVIVQ5WS7D2FSTI6T74RKJ/bundle.json","state":"https://pith.science/pith/CDP7BVIVQ5WS7D2FSTI6T74RKJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CDP7BVIVQ5WS7D2FSTI6T74RKJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:CDP7BVIVQ5WS7D2FSTI6T74RKJ","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":"b130f283ecd26e9b5115f8f08436d9d6be7f8b14a0796dbf6059c1d92c1dc2d8","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AR","submitted_at":"2025-07-04T02:23:46Z","title_canon_sha256":"4036da8977f438f7bcaa118a81700b776be9ad21f0394428144c19add2684bd6"},"schema_version":"1.0","source":{"id":"2507.03255","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.03255","created_at":"2026-07-05T11:48:04Z"},{"alias_kind":"arxiv_version","alias_value":"2507.03255v3","created_at":"2026-07-05T11:48:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.03255","created_at":"2026-07-05T11:48:04Z"},{"alias_kind":"pith_short_12","alias_value":"CDP7BVIVQ5WS","created_at":"2026-07-05T11:48:04Z"},{"alias_kind":"pith_short_16","alias_value":"CDP7BVIVQ5WS7D2F","created_at":"2026-07-05T11:48:04Z"},{"alias_kind":"pith_short_8","alias_value":"CDP7BVIV","created_at":"2026-07-05T11:48:04Z"}],"graph_snapshots":[{"event_id":"sha256:322710b88fafdbaed0f57f82c077034df994dfefe8233f690680303007cff47a","target":"graph","created_at":"2026-07-05T11:48:04Z","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/2507.03255/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"High-Level Synthesis (HLS) plays a crucial role in modern hardware design by transforming high-level code into optimized hardware implementations. However, progress in applying machine learning (ML) to HLS optimization has been hindered by a shortage of sufficiently large and diverse datasets. To bridge this gap, we introduce ForgeHLS, a large-scale, open-source dataset explicitly designed for ML-driven HLS research. ForgeHLS comprises over 400k diverse designs generated from 846 kernels covering a broad range of application domains, consuming over 200k CPU hours during dataset construction. E","authors_text":"Chen Zhang, Jieru Zhao, Mingzhe Gao, Qiang Xu, Zedong Peng, Zeju Li","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AR","submitted_at":"2025-07-04T02:23:46Z","title":"ForgeHLS: A Large-Scale, Open-Source Dataset for High-Level Synthesis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.03255","kind":"arxiv","version":3},"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":"sha256:97dda7ca1113c4bfdfc0bba932d2d49378a011a1874f4c861430025f8afe4f39","target":"record","created_at":"2026-07-05T11:48:04Z","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":"b130f283ecd26e9b5115f8f08436d9d6be7f8b14a0796dbf6059c1d92c1dc2d8","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AR","submitted_at":"2025-07-04T02:23:46Z","title_canon_sha256":"4036da8977f438f7bcaa118a81700b776be9ad21f0394428144c19add2684bd6"},"schema_version":"1.0","source":{"id":"2507.03255","kind":"arxiv","version":3}},"canonical_sha256":"10dff0d515876d2f8f4594d1e9ff915244c41de46b4718fd10ea9ed2208c794d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"10dff0d515876d2f8f4594d1e9ff915244c41de46b4718fd10ea9ed2208c794d","first_computed_at":"2026-07-05T11:48:04.969418Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:48:04.969418Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"DaUtHz7j5/d+ZDNxgjM2JRYhCQmsuKTIWioZ7X3OjJbH9fjBrP+1Hy6U6GUQ/n9YG+kICZwbpaN95tmcbM5oDA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:48:04.969948Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.03255","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:97dda7ca1113c4bfdfc0bba932d2d49378a011a1874f4c861430025f8afe4f39","sha256:322710b88fafdbaed0f57f82c077034df994dfefe8233f690680303007cff47a"],"state_sha256":"15e4e08273d4f08e3966597ac7b7c8cd2011416b1924b1cc9e7b24a93f273007"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/jKCozbWaUV4XsbZxytKWuCui4VmAt15VYjO5BKY0LDRUpnY0g8ZBLsQx4LqjTpmMc6GRyvp0ANyERQUi54fAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T08:17:14.920584Z","bundle_sha256":"8b3734772278efcda6a7d059e3278dd2845f837f12642a99d5fc1df3df6f997c"}}