{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:GMX2V3O7T4WRQOHK7CRNIXZRTT","short_pith_number":"pith:GMX2V3O7","canonical_record":{"source":{"id":"2410.12628","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-10-16T14:50:47Z","cross_cats_sorted":[],"title_canon_sha256":"d21656cc4fb959e7702de2298d8c011b2b498e33be3977fa766807a96ea409bc","abstract_canon_sha256":"cc6fa7f1f1472d4cdab481ecc5ae8b7df41aa498b7b9e438cbc5e5a295e079eb"},"schema_version":"1.0"},"canonical_sha256":"332faaeddf9f2d1838eaf8a2d45f319cf0f671b39d7d9dfc2e54589f0e1356df","source":{"kind":"arxiv","id":"2410.12628","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.12628","created_at":"2026-07-05T09:21:31Z"},{"alias_kind":"arxiv_version","alias_value":"2410.12628v1","created_at":"2026-07-05T09:21:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.12628","created_at":"2026-07-05T09:21:31Z"},{"alias_kind":"pith_short_12","alias_value":"GMX2V3O7T4WR","created_at":"2026-07-05T09:21:31Z"},{"alias_kind":"pith_short_16","alias_value":"GMX2V3O7T4WRQOHK","created_at":"2026-07-05T09:21:31Z"},{"alias_kind":"pith_short_8","alias_value":"GMX2V3O7","created_at":"2026-07-05T09:21:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:GMX2V3O7T4WRQOHK7CRNIXZRTT","target":"record","payload":{"canonical_record":{"source":{"id":"2410.12628","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-10-16T14:50:47Z","cross_cats_sorted":[],"title_canon_sha256":"d21656cc4fb959e7702de2298d8c011b2b498e33be3977fa766807a96ea409bc","abstract_canon_sha256":"cc6fa7f1f1472d4cdab481ecc5ae8b7df41aa498b7b9e438cbc5e5a295e079eb"},"schema_version":"1.0"},"canonical_sha256":"332faaeddf9f2d1838eaf8a2d45f319cf0f671b39d7d9dfc2e54589f0e1356df","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:21:31.729823Z","signature_b64":"HWkTvH0w/sHXBrRfzvlo0gOI7qDhJ6uHpdtPkBA43uEi6AzpneF7drap2l+HOdPkAOQpXGDA/gwPDJrvjFTcBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"332faaeddf9f2d1838eaf8a2d45f319cf0f671b39d7d9dfc2e54589f0e1356df","last_reissued_at":"2026-07-05T09:21:31.729401Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:21:31.729401Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.12628","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":"2026-07-05T09:21:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OypabVnODUlNJQW9ZWn3iMg7EjurRvinTuHTNwuC+TUG1fJm+am9ysB3InrsHBAYMk5UXAAqaEMRfR5YP2DGAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T10:00:42.622876Z"},"content_sha256":"4eb9dbc0646d8bc0aeb28ac5df6682e0ea83df5f9859f8773e9f57e7f42ed5ad","schema_version":"1.0","event_id":"sha256:4eb9dbc0646d8bc0aeb28ac5df6682e0ea83df5f9859f8773e9f57e7f42ed5ad"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:GMX2V3O7T4WRQOHK7CRNIXZRTT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DocLayout-YOLO: Enhancing Document Layout Analysis through Diverse Synthetic Data and Global-to-Local Adaptive Perception","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bin Wang, Conghui He, Hengrui Kang, Zhiyuan Zhao","submitted_at":"2024-10-16T14:50:47Z","abstract_excerpt":"Document Layout Analysis is crucial for real-world document understanding systems, but it encounters a challenging trade-off between speed and accuracy: multimodal methods leveraging both text and visual features achieve higher accuracy but suffer from significant latency, whereas unimodal methods relying solely on visual features offer faster processing speeds at the expense of accuracy. To address this dilemma, we introduce DocLayout-YOLO, a novel approach that enhances accuracy while maintaining speed advantages through document-specific optimizations in both pre-training and model design. "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.12628","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/2410.12628/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":"2026-07-05T09:21:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lLQY3as1Fa3AjZn8KWiqWRm5y2DvEa90iXY8KsPfUipWlcXPAzuk9grOiBxCS3JRT86FUohjKLmLZYgWK2JfCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T10:00:42.623510Z"},"content_sha256":"dade6483cb9dd6ca7232bf18d913e5a5fd0e2b3445d02e91f51cc617bb5c05cb","schema_version":"1.0","event_id":"sha256:dade6483cb9dd6ca7232bf18d913e5a5fd0e2b3445d02e91f51cc617bb5c05cb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GMX2V3O7T4WRQOHK7CRNIXZRTT/bundle.json","state_url":"https://pith.science/pith/GMX2V3O7T4WRQOHK7CRNIXZRTT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GMX2V3O7T4WRQOHK7CRNIXZRTT/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":"2026-08-12T10:00:42Z","links":{"resolver":"https://pith.science/pith/GMX2V3O7T4WRQOHK7CRNIXZRTT","bundle":"https://pith.science/pith/GMX2V3O7T4WRQOHK7CRNIXZRTT/bundle.json","state":"https://pith.science/pith/GMX2V3O7T4WRQOHK7CRNIXZRTT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GMX2V3O7T4WRQOHK7CRNIXZRTT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:GMX2V3O7T4WRQOHK7CRNIXZRTT","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":"cc6fa7f1f1472d4cdab481ecc5ae8b7df41aa498b7b9e438cbc5e5a295e079eb","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-10-16T14:50:47Z","title_canon_sha256":"d21656cc4fb959e7702de2298d8c011b2b498e33be3977fa766807a96ea409bc"},"schema_version":"1.0","source":{"id":"2410.12628","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.12628","created_at":"2026-07-05T09:21:31Z"},{"alias_kind":"arxiv_version","alias_value":"2410.12628v1","created_at":"2026-07-05T09:21:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.12628","created_at":"2026-07-05T09:21:31Z"},{"alias_kind":"pith_short_12","alias_value":"GMX2V3O7T4WR","created_at":"2026-07-05T09:21:31Z"},{"alias_kind":"pith_short_16","alias_value":"GMX2V3O7T4WRQOHK","created_at":"2026-07-05T09:21:31Z"},{"alias_kind":"pith_short_8","alias_value":"GMX2V3O7","created_at":"2026-07-05T09:21:31Z"}],"graph_snapshots":[{"event_id":"sha256:dade6483cb9dd6ca7232bf18d913e5a5fd0e2b3445d02e91f51cc617bb5c05cb","target":"graph","created_at":"2026-07-05T09:21:31Z","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/2410.12628/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Document Layout Analysis is crucial for real-world document understanding systems, but it encounters a challenging trade-off between speed and accuracy: multimodal methods leveraging both text and visual features achieve higher accuracy but suffer from significant latency, whereas unimodal methods relying solely on visual features offer faster processing speeds at the expense of accuracy. To address this dilemma, we introduce DocLayout-YOLO, a novel approach that enhances accuracy while maintaining speed advantages through document-specific optimizations in both pre-training and model design. ","authors_text":"Bin Wang, Conghui He, Hengrui Kang, Zhiyuan Zhao","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-10-16T14:50:47Z","title":"DocLayout-YOLO: Enhancing Document Layout Analysis through Diverse Synthetic Data and Global-to-Local Adaptive Perception"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.12628","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":"sha256:4eb9dbc0646d8bc0aeb28ac5df6682e0ea83df5f9859f8773e9f57e7f42ed5ad","target":"record","created_at":"2026-07-05T09:21:31Z","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":"cc6fa7f1f1472d4cdab481ecc5ae8b7df41aa498b7b9e438cbc5e5a295e079eb","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-10-16T14:50:47Z","title_canon_sha256":"d21656cc4fb959e7702de2298d8c011b2b498e33be3977fa766807a96ea409bc"},"schema_version":"1.0","source":{"id":"2410.12628","kind":"arxiv","version":1}},"canonical_sha256":"332faaeddf9f2d1838eaf8a2d45f319cf0f671b39d7d9dfc2e54589f0e1356df","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"332faaeddf9f2d1838eaf8a2d45f319cf0f671b39d7d9dfc2e54589f0e1356df","first_computed_at":"2026-07-05T09:21:31.729401Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:21:31.729401Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"HWkTvH0w/sHXBrRfzvlo0gOI7qDhJ6uHpdtPkBA43uEi6AzpneF7drap2l+HOdPkAOQpXGDA/gwPDJrvjFTcBg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:21:31.729823Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.12628","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4eb9dbc0646d8bc0aeb28ac5df6682e0ea83df5f9859f8773e9f57e7f42ed5ad","sha256:dade6483cb9dd6ca7232bf18d913e5a5fd0e2b3445d02e91f51cc617bb5c05cb"],"state_sha256":"1af0fceadc7c6a01a3d70514d833530cac3ecacf38a9e2908d089223b78fb4b0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Pez+ZsuX/nJc4ryE1ucJ7FIi2GeP4H70VbALTPoavPAhTGxE9fwjqbXNoDAJaZFN7awkbTyayiORZCnHAFAwAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-12T10:00:42.630846Z","bundle_sha256":"82579aff3dd78101694c1624c9f3ecd51164e889ced79b6ba7ef7a99972cfa13"}}