{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:DSGCWP2XL6R36DXFZJ5HKVTGJN","short_pith_number":"pith:DSGCWP2X","canonical_record":{"source":{"id":"2007.08563","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2020-07-16T18:58:31Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"499c6e5b36105189cb7b0f3e87477bda4c0255bc56f3334fa69d0886e54dd3fb","abstract_canon_sha256":"bdc586bda7c88c1f74be802da60dd1fb01515b8618cf28bcd437138bed07450a"},"schema_version":"1.0"},"canonical_sha256":"1c8c2b3f575fa3bf0ee5ca7a7556664b727d88008dcda6a534a148033c8d6f60","source":{"kind":"arxiv","id":"2007.08563","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2007.08563","created_at":"2026-07-05T01:19:54Z"},{"alias_kind":"arxiv_version","alias_value":"2007.08563v1","created_at":"2026-07-05T01:19:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2007.08563","created_at":"2026-07-05T01:19:54Z"},{"alias_kind":"pith_short_12","alias_value":"DSGCWP2XL6R3","created_at":"2026-07-05T01:19:54Z"},{"alias_kind":"pith_short_16","alias_value":"DSGCWP2XL6R36DXF","created_at":"2026-07-05T01:19:54Z"},{"alias_kind":"pith_short_8","alias_value":"DSGCWP2X","created_at":"2026-07-05T01:19:54Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:DSGCWP2XL6R36DXFZJ5HKVTGJN","target":"record","payload":{"canonical_record":{"source":{"id":"2007.08563","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2020-07-16T18:58:31Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"499c6e5b36105189cb7b0f3e87477bda4c0255bc56f3334fa69d0886e54dd3fb","abstract_canon_sha256":"bdc586bda7c88c1f74be802da60dd1fb01515b8618cf28bcd437138bed07450a"},"schema_version":"1.0"},"canonical_sha256":"1c8c2b3f575fa3bf0ee5ca7a7556664b727d88008dcda6a534a148033c8d6f60","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:19:54.332742Z","signature_b64":"h8owyaER6LjZiYrp7iwfSAzE8FIo5TacRn4A8oLjD1DzSVOozI7n/c55+bDsclmsNROz4kuAQHbP++TqOSroBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1c8c2b3f575fa3bf0ee5ca7a7556664b727d88008dcda6a534a148033c8d6f60","last_reissued_at":"2026-07-05T01:19:54.332235Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:19:54.332235Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2007.08563","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":"2026-07-05T01:19:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"npSvX8WfdTmhyGNYGBJwiV6EfInKp/vEQQl/CBdJcpbY2Js4TciRw+RyopN1xyfZN8TfNhBtbA34xB2nIw80DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T11:19:12.899431Z"},"content_sha256":"db3072bf755c0f21d9e96dffd97774f9cdb7990eac7b64ff9bab9e38cf9ebbd8","schema_version":"1.0","event_id":"sha256:db3072bf755c0f21d9e96dffd97774f9cdb7990eac7b64ff9bab9e38cf9ebbd8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:DSGCWP2XL6R36DXFZJ5HKVTGJN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"FTRANS: Energy-Efficient Acceleration of Transformers using FPGA","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.DC","authors_text":"Bingbing Li, Caiwen Ding, Hang Liu, Haowen Fang, Jieyang Chen, Ji Li, Lipeng Wan, Mimi Xie, Santosh Pandey, Yanjun Lyv","submitted_at":"2020-07-16T18:58:31Z","abstract_excerpt":"In natural language processing (NLP), the \"Transformer\" architecture was proposed as the first transduction model replying entirely on self-attention mechanisms without using sequence-aligned recurrent neural networks (RNNs) or convolution, and it achieved significant improvements for sequence to sequence tasks. The introduced intensive computation and storage of these pre-trained language representations has impeded their popularity into computation and memory-constrained devices. The field-programmable gate array (FPGA) is widely used to accelerate deep learning algorithms for its high paral"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2007.08563","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/2007.08563/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":"2026-07-05T01:19:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GvqLxRqHXl/PFluJSwFODpEtczwgDTltlhLDnSgBg7QwqleWrGg3CrASUtmitocEm6Bz7YGh175vrgywmpYbBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T11:19:12.899809Z"},"content_sha256":"72901f298bec490a1e3a199d684295d09b7ebf0a9b3dc95869060b9bada9d07a","schema_version":"1.0","event_id":"sha256:72901f298bec490a1e3a199d684295d09b7ebf0a9b3dc95869060b9bada9d07a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DSGCWP2XL6R36DXFZJ5HKVTGJN/bundle.json","state_url":"https://pith.science/pith/DSGCWP2XL6R36DXFZJ5HKVTGJN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DSGCWP2XL6R36DXFZJ5HKVTGJN/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":"2026-07-07T11:19:12Z","links":{"resolver":"https://pith.science/pith/DSGCWP2XL6R36DXFZJ5HKVTGJN","bundle":"https://pith.science/pith/DSGCWP2XL6R36DXFZJ5HKVTGJN/bundle.json","state":"https://pith.science/pith/DSGCWP2XL6R36DXFZJ5HKVTGJN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DSGCWP2XL6R36DXFZJ5HKVTGJN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:DSGCWP2XL6R36DXFZJ5HKVTGJN","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":"bdc586bda7c88c1f74be802da60dd1fb01515b8618cf28bcd437138bed07450a","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2020-07-16T18:58:31Z","title_canon_sha256":"499c6e5b36105189cb7b0f3e87477bda4c0255bc56f3334fa69d0886e54dd3fb"},"schema_version":"1.0","source":{"id":"2007.08563","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2007.08563","created_at":"2026-07-05T01:19:54Z"},{"alias_kind":"arxiv_version","alias_value":"2007.08563v1","created_at":"2026-07-05T01:19:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2007.08563","created_at":"2026-07-05T01:19:54Z"},{"alias_kind":"pith_short_12","alias_value":"DSGCWP2XL6R3","created_at":"2026-07-05T01:19:54Z"},{"alias_kind":"pith_short_16","alias_value":"DSGCWP2XL6R36DXF","created_at":"2026-07-05T01:19:54Z"},{"alias_kind":"pith_short_8","alias_value":"DSGCWP2X","created_at":"2026-07-05T01:19:54Z"}],"graph_snapshots":[{"event_id":"sha256:72901f298bec490a1e3a199d684295d09b7ebf0a9b3dc95869060b9bada9d07a","target":"graph","created_at":"2026-07-05T01:19:54Z","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/2007.08563/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In natural language processing (NLP), the \"Transformer\" architecture was proposed as the first transduction model replying entirely on self-attention mechanisms without using sequence-aligned recurrent neural networks (RNNs) or convolution, and it achieved significant improvements for sequence to sequence tasks. The introduced intensive computation and storage of these pre-trained language representations has impeded their popularity into computation and memory-constrained devices. The field-programmable gate array (FPGA) is widely used to accelerate deep learning algorithms for its high paral","authors_text":"Bingbing Li, Caiwen Ding, Hang Liu, Haowen Fang, Jieyang Chen, Ji Li, Lipeng Wan, Mimi Xie, Santosh Pandey, Yanjun Lyv","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2020-07-16T18:58:31Z","title":"FTRANS: Energy-Efficient Acceleration of Transformers using FPGA"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2007.08563","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:db3072bf755c0f21d9e96dffd97774f9cdb7990eac7b64ff9bab9e38cf9ebbd8","target":"record","created_at":"2026-07-05T01:19:54Z","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":"bdc586bda7c88c1f74be802da60dd1fb01515b8618cf28bcd437138bed07450a","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2020-07-16T18:58:31Z","title_canon_sha256":"499c6e5b36105189cb7b0f3e87477bda4c0255bc56f3334fa69d0886e54dd3fb"},"schema_version":"1.0","source":{"id":"2007.08563","kind":"arxiv","version":1}},"canonical_sha256":"1c8c2b3f575fa3bf0ee5ca7a7556664b727d88008dcda6a534a148033c8d6f60","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1c8c2b3f575fa3bf0ee5ca7a7556664b727d88008dcda6a534a148033c8d6f60","first_computed_at":"2026-07-05T01:19:54.332235Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:19:54.332235Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"h8owyaER6LjZiYrp7iwfSAzE8FIo5TacRn4A8oLjD1DzSVOozI7n/c55+bDsclmsNROz4kuAQHbP++TqOSroBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T01:19:54.332742Z","signed_message":"canonical_sha256_bytes"},"source_id":"2007.08563","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:db3072bf755c0f21d9e96dffd97774f9cdb7990eac7b64ff9bab9e38cf9ebbd8","sha256:72901f298bec490a1e3a199d684295d09b7ebf0a9b3dc95869060b9bada9d07a"],"state_sha256":"a54028188612ec4ba86d3acff55f4160fa549cfbb043cf026ea27070f2ffc4a3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"v8CJTaZ1BCOvd8iP4+elPgPHMpBcSp3C+lb5QJeju/kwB8Rp6zS63Zui3VOYHWWkJLsMdr1KIzXYK/MmiipCCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T11:19:12.901897Z","bundle_sha256":"33bc067303029827aacc710ad48d182ddfcaa00121687697414ce8435c3bb1db"}}