{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:HKQC3VOIBQD4TV4O5MYU5JZ4DG","short_pith_number":"pith:HKQC3VOI","canonical_record":{"source":{"id":"2308.13922","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AR","submitted_at":"2023-08-26T17:41:16Z","cross_cats_sorted":[],"title_canon_sha256":"1427c27224db566cf424d7eb737c6f97ed29e6bc639f8d60feafe398c3581235","abstract_canon_sha256":"ceb2da3fef223bb8627e45a9749e2ed9022058e46408b0ca6255f4c62939da75"},"schema_version":"1.0"},"canonical_sha256":"3aa02dd5c80c07c9d78eeb314ea73c199f8f18913ec6179e579f0125c8b2854c","source":{"kind":"arxiv","id":"2308.13922","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.13922","created_at":"2026-07-05T06:45:07Z"},{"alias_kind":"arxiv_version","alias_value":"2308.13922v1","created_at":"2026-07-05T06:45:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.13922","created_at":"2026-07-05T06:45:07Z"},{"alias_kind":"pith_short_12","alias_value":"HKQC3VOIBQD4","created_at":"2026-07-05T06:45:07Z"},{"alias_kind":"pith_short_16","alias_value":"HKQC3VOIBQD4TV4O","created_at":"2026-07-05T06:45:07Z"},{"alias_kind":"pith_short_8","alias_value":"HKQC3VOI","created_at":"2026-07-05T06:45:07Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:HKQC3VOIBQD4TV4O5MYU5JZ4DG","target":"record","payload":{"canonical_record":{"source":{"id":"2308.13922","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AR","submitted_at":"2023-08-26T17:41:16Z","cross_cats_sorted":[],"title_canon_sha256":"1427c27224db566cf424d7eb737c6f97ed29e6bc639f8d60feafe398c3581235","abstract_canon_sha256":"ceb2da3fef223bb8627e45a9749e2ed9022058e46408b0ca6255f4c62939da75"},"schema_version":"1.0"},"canonical_sha256":"3aa02dd5c80c07c9d78eeb314ea73c199f8f18913ec6179e579f0125c8b2854c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:45:07.186006Z","signature_b64":"c2k5rEbIaEg2eQEpQqSr9vnDI1PurlLzOp1d2bFzr/rn8PrHMdhyFlRnjCSSXxYHV2X3PYNDH1Tu1INRX4EUDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3aa02dd5c80c07c9d78eeb314ea73c199f8f18913ec6179e579f0125c8b2854c","last_reissued_at":"2026-07-05T06:45:07.185605Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:45:07.185605Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2308.13922","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":"2026-07-05T06:45:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dB0KzxgIjru6zZZQCw7tLnn2JeQdZBGAjHqhjU/D5S7utQYQ61kmGzQG/qoKWGevuZ0WdQ60kJe7olApZ3XzCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T23:40:57.048668Z"},"content_sha256":"09cd733a55f04825601003f01e6809c30fceeb9583da223367433da27823f24f","schema_version":"1.0","event_id":"sha256:09cd733a55f04825601003f01e6809c30fceeb9583da223367433da27823f24f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:HKQC3VOIBQD4TV4O5MYU5JZ4DG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"An Efficient FPGA-Based Accelerator for Swin Transformer","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AR","authors_text":"Pengyu Yin, Zhenhua Ren, Zhiyang Liu","submitted_at":"2023-08-26T17:41:16Z","abstract_excerpt":"Since introduced, Swin Transformer has achieved remarkable results in the field of computer vision, it has sparked the need for dedicated hardware accelerators, specifically catering to edge computing demands. For the advantages of flexibility, low power consumption, FPGAs have been widely employed to accelerate the inference of convolutional neural networks (CNNs) and show potential in Transformer-based models. Unlike CNNs, which mainly involve multiply and accumulate (MAC) operations, Transformer involve non-linear computations such as Layer Normalization (LN), Softmax, and GELU. These nonli"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.13922","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/2308.13922/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":"2026-07-05T06:45:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"n0xP3izW67TQaYVPXKSaqpJrwSRFLb983DC+a9VUP4OOmhtQ9Joc2H9KAlI/n+n9Vl5Lc0mNFLtb/9TXJ4lKDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T23:40:57.049265Z"},"content_sha256":"945958bbbae307821969db798ad9c69d15ec95f0eb6fe31c54ed5fb251fb057b","schema_version":"1.0","event_id":"sha256:945958bbbae307821969db798ad9c69d15ec95f0eb6fe31c54ed5fb251fb057b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HKQC3VOIBQD4TV4O5MYU5JZ4DG/bundle.json","state_url":"https://pith.science/pith/HKQC3VOIBQD4TV4O5MYU5JZ4DG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HKQC3VOIBQD4TV4O5MYU5JZ4DG/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":"2026-08-15T23:40:57Z","links":{"resolver":"https://pith.science/pith/HKQC3VOIBQD4TV4O5MYU5JZ4DG","bundle":"https://pith.science/pith/HKQC3VOIBQD4TV4O5MYU5JZ4DG/bundle.json","state":"https://pith.science/pith/HKQC3VOIBQD4TV4O5MYU5JZ4DG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HKQC3VOIBQD4TV4O5MYU5JZ4DG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:HKQC3VOIBQD4TV4O5MYU5JZ4DG","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":"ceb2da3fef223bb8627e45a9749e2ed9022058e46408b0ca6255f4c62939da75","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AR","submitted_at":"2023-08-26T17:41:16Z","title_canon_sha256":"1427c27224db566cf424d7eb737c6f97ed29e6bc639f8d60feafe398c3581235"},"schema_version":"1.0","source":{"id":"2308.13922","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.13922","created_at":"2026-07-05T06:45:07Z"},{"alias_kind":"arxiv_version","alias_value":"2308.13922v1","created_at":"2026-07-05T06:45:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.13922","created_at":"2026-07-05T06:45:07Z"},{"alias_kind":"pith_short_12","alias_value":"HKQC3VOIBQD4","created_at":"2026-07-05T06:45:07Z"},{"alias_kind":"pith_short_16","alias_value":"HKQC3VOIBQD4TV4O","created_at":"2026-07-05T06:45:07Z"},{"alias_kind":"pith_short_8","alias_value":"HKQC3VOI","created_at":"2026-07-05T06:45:07Z"}],"graph_snapshots":[{"event_id":"sha256:945958bbbae307821969db798ad9c69d15ec95f0eb6fe31c54ed5fb251fb057b","target":"graph","created_at":"2026-07-05T06:45:07Z","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/2308.13922/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Since introduced, Swin Transformer has achieved remarkable results in the field of computer vision, it has sparked the need for dedicated hardware accelerators, specifically catering to edge computing demands. For the advantages of flexibility, low power consumption, FPGAs have been widely employed to accelerate the inference of convolutional neural networks (CNNs) and show potential in Transformer-based models. Unlike CNNs, which mainly involve multiply and accumulate (MAC) operations, Transformer involve non-linear computations such as Layer Normalization (LN), Softmax, and GELU. These nonli","authors_text":"Pengyu Yin, Zhenhua Ren, Zhiyang Liu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AR","submitted_at":"2023-08-26T17:41:16Z","title":"An Efficient FPGA-Based Accelerator for Swin Transformer"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.13922","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":"sha256:09cd733a55f04825601003f01e6809c30fceeb9583da223367433da27823f24f","target":"record","created_at":"2026-07-05T06:45:07Z","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":"ceb2da3fef223bb8627e45a9749e2ed9022058e46408b0ca6255f4c62939da75","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AR","submitted_at":"2023-08-26T17:41:16Z","title_canon_sha256":"1427c27224db566cf424d7eb737c6f97ed29e6bc639f8d60feafe398c3581235"},"schema_version":"1.0","source":{"id":"2308.13922","kind":"arxiv","version":1}},"canonical_sha256":"3aa02dd5c80c07c9d78eeb314ea73c199f8f18913ec6179e579f0125c8b2854c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3aa02dd5c80c07c9d78eeb314ea73c199f8f18913ec6179e579f0125c8b2854c","first_computed_at":"2026-07-05T06:45:07.185605Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:45:07.185605Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"c2k5rEbIaEg2eQEpQqSr9vnDI1PurlLzOp1d2bFzr/rn8PrHMdhyFlRnjCSSXxYHV2X3PYNDH1Tu1INRX4EUDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:45:07.186006Z","signed_message":"canonical_sha256_bytes"},"source_id":"2308.13922","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:09cd733a55f04825601003f01e6809c30fceeb9583da223367433da27823f24f","sha256:945958bbbae307821969db798ad9c69d15ec95f0eb6fe31c54ed5fb251fb057b"],"state_sha256":"d25d5e61266ef50907470b23347e9e8d596131ad9589323d873b1bbec962eca8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"M9jzx06mBbS/Ich8HX106fWieDd2aKAlbSXJE412Xarh0W/D0QnbJC4/yXonUaInuG8hNUU1g+w7EaDf5qYvCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T23:40:57.053511Z","bundle_sha256":"068dafd87388e6727ba4b7e879c41ade403f4687db2ff97a82e9545444fe080c"}}