{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:ZRFIRCYK5EE5QDA5A3BWVZQ5DX","short_pith_number":"pith:ZRFIRCYK","canonical_record":{"source":{"id":"2108.02095","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-08-04T14:54:29Z","cross_cats_sorted":[],"title_canon_sha256":"9b06c3c41da9c804958bfb12819944d5ef66124457992fcd70a7957a5481568b","abstract_canon_sha256":"3c5c6c267c35dd9dd0f3ff43e39d4356cf0daca34831776b722f050f946ee82d"},"schema_version":"1.0"},"canonical_sha256":"cc4a888b0ae909d80c1d06c36ae61d1de6ee47d524fa25e7778e2b7ecda5c54e","source":{"kind":"arxiv","id":"2108.02095","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2108.02095","created_at":"2026-07-05T03:03:21Z"},{"alias_kind":"arxiv_version","alias_value":"2108.02095v1","created_at":"2026-07-05T03:03:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2108.02095","created_at":"2026-07-05T03:03:21Z"},{"alias_kind":"pith_short_12","alias_value":"ZRFIRCYK5EE5","created_at":"2026-07-05T03:03:21Z"},{"alias_kind":"pith_short_16","alias_value":"ZRFIRCYK5EE5QDA5","created_at":"2026-07-05T03:03:21Z"},{"alias_kind":"pith_short_8","alias_value":"ZRFIRCYK","created_at":"2026-07-05T03:03:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:ZRFIRCYK5EE5QDA5A3BWVZQ5DX","target":"record","payload":{"canonical_record":{"source":{"id":"2108.02095","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-08-04T14:54:29Z","cross_cats_sorted":[],"title_canon_sha256":"9b06c3c41da9c804958bfb12819944d5ef66124457992fcd70a7957a5481568b","abstract_canon_sha256":"3c5c6c267c35dd9dd0f3ff43e39d4356cf0daca34831776b722f050f946ee82d"},"schema_version":"1.0"},"canonical_sha256":"cc4a888b0ae909d80c1d06c36ae61d1de6ee47d524fa25e7778e2b7ecda5c54e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:03:21.696724Z","signature_b64":"EhUeKA/jfvSNSDuwHTBIbm82zwCE12RoUqxLFLc/HqXUqUjpRqemkOPXYHLQ/Da9xaA68vL13bXXBcbMLdMeBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cc4a888b0ae909d80c1d06c36ae61d1de6ee47d524fa25e7778e2b7ecda5c54e","last_reissued_at":"2026-07-05T03:03:21.696370Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:03:21.696370Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2108.02095","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":"2026-07-05T03:03:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IBFyeLlB8NyVPKEGUf2/CfYVtEtKlE2s+wompF9GravZ0LffyiBJSv5ilPlDOJ+3VNsIrBNxznqHNX8IUVoiDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T14:54:24.100919Z"},"content_sha256":"36449e2ddb356e52581dc333bdb36031334f5b75fda5032b0349e2eb92dd7c80","schema_version":"1.0","event_id":"sha256:36449e2ddb356e52581dc333bdb36031334f5b75fda5032b0349e2eb92dd7c80"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:ZRFIRCYK5EE5QDA5A3BWVZQ5DX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Human-In-The-Loop Document Layout Analysis","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Liang He, Qin Chen, Tianlong Ma, Xingjiao Wu, Xin Li","submitted_at":"2021-08-04T14:54:29Z","abstract_excerpt":"Document layout analysis (DLA) aims to divide a document image into different types of regions. DLA plays an important role in the document content understanding and information extraction systems. Exploring a method that can use less data for effective training contributes to the development of DLA. We consider a Human-in-the-loop (HITL) collaborative intelligence in the DLA. Our approach was inspired by the fact that the HITL push the model to learn from the unknown problems by adding a small amount of data based on knowledge. The HITL select key samples by using confidence. However, using c"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2108.02095","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/2108.02095/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":"2026-07-05T03:03:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"u9N795EjIRffV9q+xyWemRP4Dkewikhv72mVpzSoWfg2iKC0sRDHj3tLdk65THzMzXRvA6XyzG0d5G4ug/CtDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T14:54:24.101470Z"},"content_sha256":"0fdab87b1249bbcc1a2c7a1edbc053ae9581ab672613d7d2788b87b3aab7fb8b","schema_version":"1.0","event_id":"sha256:0fdab87b1249bbcc1a2c7a1edbc053ae9581ab672613d7d2788b87b3aab7fb8b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZRFIRCYK5EE5QDA5A3BWVZQ5DX/bundle.json","state_url":"https://pith.science/pith/ZRFIRCYK5EE5QDA5A3BWVZQ5DX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZRFIRCYK5EE5QDA5A3BWVZQ5DX/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":"2026-08-11T14:54:24Z","links":{"resolver":"https://pith.science/pith/ZRFIRCYK5EE5QDA5A3BWVZQ5DX","bundle":"https://pith.science/pith/ZRFIRCYK5EE5QDA5A3BWVZQ5DX/bundle.json","state":"https://pith.science/pith/ZRFIRCYK5EE5QDA5A3BWVZQ5DX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZRFIRCYK5EE5QDA5A3BWVZQ5DX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:ZRFIRCYK5EE5QDA5A3BWVZQ5DX","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":"3c5c6c267c35dd9dd0f3ff43e39d4356cf0daca34831776b722f050f946ee82d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-08-04T14:54:29Z","title_canon_sha256":"9b06c3c41da9c804958bfb12819944d5ef66124457992fcd70a7957a5481568b"},"schema_version":"1.0","source":{"id":"2108.02095","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2108.02095","created_at":"2026-07-05T03:03:21Z"},{"alias_kind":"arxiv_version","alias_value":"2108.02095v1","created_at":"2026-07-05T03:03:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2108.02095","created_at":"2026-07-05T03:03:21Z"},{"alias_kind":"pith_short_12","alias_value":"ZRFIRCYK5EE5","created_at":"2026-07-05T03:03:21Z"},{"alias_kind":"pith_short_16","alias_value":"ZRFIRCYK5EE5QDA5","created_at":"2026-07-05T03:03:21Z"},{"alias_kind":"pith_short_8","alias_value":"ZRFIRCYK","created_at":"2026-07-05T03:03:21Z"}],"graph_snapshots":[{"event_id":"sha256:0fdab87b1249bbcc1a2c7a1edbc053ae9581ab672613d7d2788b87b3aab7fb8b","target":"graph","created_at":"2026-07-05T03:03:21Z","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/2108.02095/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Document layout analysis (DLA) aims to divide a document image into different types of regions. DLA plays an important role in the document content understanding and information extraction systems. Exploring a method that can use less data for effective training contributes to the development of DLA. We consider a Human-in-the-loop (HITL) collaborative intelligence in the DLA. Our approach was inspired by the fact that the HITL push the model to learn from the unknown problems by adding a small amount of data based on knowledge. The HITL select key samples by using confidence. However, using c","authors_text":"Liang He, Qin Chen, Tianlong Ma, Xingjiao Wu, Xin Li","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-08-04T14:54:29Z","title":"Human-In-The-Loop Document Layout Analysis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2108.02095","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":"sha256:36449e2ddb356e52581dc333bdb36031334f5b75fda5032b0349e2eb92dd7c80","target":"record","created_at":"2026-07-05T03:03:21Z","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":"3c5c6c267c35dd9dd0f3ff43e39d4356cf0daca34831776b722f050f946ee82d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-08-04T14:54:29Z","title_canon_sha256":"9b06c3c41da9c804958bfb12819944d5ef66124457992fcd70a7957a5481568b"},"schema_version":"1.0","source":{"id":"2108.02095","kind":"arxiv","version":1}},"canonical_sha256":"cc4a888b0ae909d80c1d06c36ae61d1de6ee47d524fa25e7778e2b7ecda5c54e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cc4a888b0ae909d80c1d06c36ae61d1de6ee47d524fa25e7778e2b7ecda5c54e","first_computed_at":"2026-07-05T03:03:21.696370Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:03:21.696370Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"EhUeKA/jfvSNSDuwHTBIbm82zwCE12RoUqxLFLc/HqXUqUjpRqemkOPXYHLQ/Da9xaA68vL13bXXBcbMLdMeBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T03:03:21.696724Z","signed_message":"canonical_sha256_bytes"},"source_id":"2108.02095","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:36449e2ddb356e52581dc333bdb36031334f5b75fda5032b0349e2eb92dd7c80","sha256:0fdab87b1249bbcc1a2c7a1edbc053ae9581ab672613d7d2788b87b3aab7fb8b"],"state_sha256":"af21fbc2d87ee0f7e60e13db9010c90ca4c5721cbbe65160e812cb81da1543ee"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bypeDroqUaPOSzXJRDwvNzH9TA/nJ6joVuvhceMJOQfDOvkm4qBEpaOL6Lho566cNSmapuG2L4rNulv8BDg/CA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T14:54:24.106077Z","bundle_sha256":"21232c1d62d6b55b92ee938bda43f4fa9deccdf62647cda2f8c9b3f70241b907"}}