{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:4GQVLH4SIVPJWV5CV3LPNS7RG7","short_pith_number":"pith:4GQVLH4S","canonical_record":{"source":{"id":"2412.06674","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-09T17:12:22Z","cross_cats_sorted":[],"title_canon_sha256":"adb17f3e523e6d78f178967e9903ecc34c2f5be277c97c5c731db21ec48a2ba5","abstract_canon_sha256":"9e28a36636f4486edcf0870555cc60d83d753151d044982127d260db34b86b0e"},"schema_version":"1.0"},"canonical_sha256":"e1a1559f92455e9b57a2aed6f6cbf137f938f46f3015d0695fdc0c5c82b8f2e9","source":{"kind":"arxiv","id":"2412.06674","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.06674","created_at":"2026-07-05T09:46:36Z"},{"alias_kind":"arxiv_version","alias_value":"2412.06674v1","created_at":"2026-07-05T09:46:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.06674","created_at":"2026-07-05T09:46:36Z"},{"alias_kind":"pith_short_12","alias_value":"4GQVLH4SIVPJ","created_at":"2026-07-05T09:46:36Z"},{"alias_kind":"pith_short_16","alias_value":"4GQVLH4SIVPJWV5C","created_at":"2026-07-05T09:46:36Z"},{"alias_kind":"pith_short_8","alias_value":"4GQVLH4S","created_at":"2026-07-05T09:46:36Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:4GQVLH4SIVPJWV5CV3LPNS7RG7","target":"record","payload":{"canonical_record":{"source":{"id":"2412.06674","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-09T17:12:22Z","cross_cats_sorted":[],"title_canon_sha256":"adb17f3e523e6d78f178967e9903ecc34c2f5be277c97c5c731db21ec48a2ba5","abstract_canon_sha256":"9e28a36636f4486edcf0870555cc60d83d753151d044982127d260db34b86b0e"},"schema_version":"1.0"},"canonical_sha256":"e1a1559f92455e9b57a2aed6f6cbf137f938f46f3015d0695fdc0c5c82b8f2e9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:46:36.292964Z","signature_b64":"xJibgdsFSLL80vQ+K6e0um2Hn13b+GhBmOWJFbmYTcf6s3Vfn/icgOaRv7iedtlXFMqwReRG/ipTrA1M3GQ6Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e1a1559f92455e9b57a2aed6f6cbf137f938f46f3015d0695fdc0c5c82b8f2e9","last_reissued_at":"2026-07-05T09:46:36.292123Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:46:36.292123Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.06674","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":"2026-07-05T09:46:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7tFW5UBQiUV7B9FOBZ+2AbsPNnUeRGKxIORTHY6vc+gqTgH9CVLKEbNtBpr6sRdKNbFUB6o0bk0LHPBldS59AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T11:51:28.943181Z"},"content_sha256":"23195204101f24a089970a7557491d420985ada74460fd7c1880f5be953a9885","schema_version":"1.0","event_id":"sha256:23195204101f24a089970a7557491d420985ada74460fd7c1880f5be953a9885"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:4GQVLH4SIVPJWV5CV3LPNS7RG7","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"EMOv2: Pushing 5M Vision Model Frontier","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chengjie Wang, Dacheng Tao, Haoyang He, Jiangning Zhang, Teng Hu, Xiangtai Li, Yabiao Wang, Yong Liu, Zhucun Xue","submitted_at":"2024-12-09T17:12:22Z","abstract_excerpt":"This work focuses on developing parameter-efficient and lightweight models for dense predictions while trading off parameters, FLOPs, and performance. Our goal is to set up the new frontier of the 5M magnitude lightweight model on various downstream tasks. Inverted Residual Block (IRB) serves as the infrastructure for lightweight CNNs, but no counterparts have been recognized by attention-based design. Our work rethinks the lightweight infrastructure of efficient IRB and practical components in Transformer from a unified perspective, extending CNN-based IRB to attention-based models and abstra"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.06674","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/2412.06674/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":"2026-07-05T09:46:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"prnZyTQcstAzQp8yogJ0wRAifZ+BszV8HFcHK1/iib4XvoA7ijub1UyhtOKhNeb6P2ZZT73XkzssMD1Kh+i2Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T11:51:28.944428Z"},"content_sha256":"48fa57d58976addec1c401d4e1d94ff67f5722a6ead4be08457a7ba575e0bbcc","schema_version":"1.0","event_id":"sha256:48fa57d58976addec1c401d4e1d94ff67f5722a6ead4be08457a7ba575e0bbcc"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4GQVLH4SIVPJWV5CV3LPNS7RG7/bundle.json","state_url":"https://pith.science/pith/4GQVLH4SIVPJWV5CV3LPNS7RG7/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4GQVLH4SIVPJWV5CV3LPNS7RG7/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":"2026-08-12T11:51:28Z","links":{"resolver":"https://pith.science/pith/4GQVLH4SIVPJWV5CV3LPNS7RG7","bundle":"https://pith.science/pith/4GQVLH4SIVPJWV5CV3LPNS7RG7/bundle.json","state":"https://pith.science/pith/4GQVLH4SIVPJWV5CV3LPNS7RG7/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4GQVLH4SIVPJWV5CV3LPNS7RG7/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:4GQVLH4SIVPJWV5CV3LPNS7RG7","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":"9e28a36636f4486edcf0870555cc60d83d753151d044982127d260db34b86b0e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-09T17:12:22Z","title_canon_sha256":"adb17f3e523e6d78f178967e9903ecc34c2f5be277c97c5c731db21ec48a2ba5"},"schema_version":"1.0","source":{"id":"2412.06674","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.06674","created_at":"2026-07-05T09:46:36Z"},{"alias_kind":"arxiv_version","alias_value":"2412.06674v1","created_at":"2026-07-05T09:46:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.06674","created_at":"2026-07-05T09:46:36Z"},{"alias_kind":"pith_short_12","alias_value":"4GQVLH4SIVPJ","created_at":"2026-07-05T09:46:36Z"},{"alias_kind":"pith_short_16","alias_value":"4GQVLH4SIVPJWV5C","created_at":"2026-07-05T09:46:36Z"},{"alias_kind":"pith_short_8","alias_value":"4GQVLH4S","created_at":"2026-07-05T09:46:36Z"}],"graph_snapshots":[{"event_id":"sha256:48fa57d58976addec1c401d4e1d94ff67f5722a6ead4be08457a7ba575e0bbcc","target":"graph","created_at":"2026-07-05T09:46:36Z","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/2412.06674/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This work focuses on developing parameter-efficient and lightweight models for dense predictions while trading off parameters, FLOPs, and performance. Our goal is to set up the new frontier of the 5M magnitude lightweight model on various downstream tasks. Inverted Residual Block (IRB) serves as the infrastructure for lightweight CNNs, but no counterparts have been recognized by attention-based design. Our work rethinks the lightweight infrastructure of efficient IRB and practical components in Transformer from a unified perspective, extending CNN-based IRB to attention-based models and abstra","authors_text":"Chengjie Wang, Dacheng Tao, Haoyang He, Jiangning Zhang, Teng Hu, Xiangtai Li, Yabiao Wang, Yong Liu, Zhucun Xue","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-09T17:12:22Z","title":"EMOv2: Pushing 5M Vision Model Frontier"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.06674","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":"sha256:23195204101f24a089970a7557491d420985ada74460fd7c1880f5be953a9885","target":"record","created_at":"2026-07-05T09:46:36Z","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":"9e28a36636f4486edcf0870555cc60d83d753151d044982127d260db34b86b0e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-09T17:12:22Z","title_canon_sha256":"adb17f3e523e6d78f178967e9903ecc34c2f5be277c97c5c731db21ec48a2ba5"},"schema_version":"1.0","source":{"id":"2412.06674","kind":"arxiv","version":1}},"canonical_sha256":"e1a1559f92455e9b57a2aed6f6cbf137f938f46f3015d0695fdc0c5c82b8f2e9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e1a1559f92455e9b57a2aed6f6cbf137f938f46f3015d0695fdc0c5c82b8f2e9","first_computed_at":"2026-07-05T09:46:36.292123Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:46:36.292123Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xJibgdsFSLL80vQ+K6e0um2Hn13b+GhBmOWJFbmYTcf6s3Vfn/icgOaRv7iedtlXFMqwReRG/ipTrA1M3GQ6Cw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:46:36.292964Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.06674","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:23195204101f24a089970a7557491d420985ada74460fd7c1880f5be953a9885","sha256:48fa57d58976addec1c401d4e1d94ff67f5722a6ead4be08457a7ba575e0bbcc"],"state_sha256":"04375238098f3a401559b6063793fdcdc84d9dd3587123096346bc9b4ec1c43c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5Qm7IG2F4+CD2fOdvAdUR592TgWKllXpt3xXhWrYz9pIFl8iJ6WitF5WBtlmIym+g7b3qPr+JjY7CO7xuHfrCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-12T11:51:28.950348Z","bundle_sha256":"2640e26d575e12461b087ae43c3856e9ed4ab19706f8365fc43a56ef8195935b"}}