{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:C4E6XZ7KRYKLQ6KSGU2JAEWEV7","short_pith_number":"pith:C4E6XZ7K","canonical_record":{"source":{"id":"2007.07547","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-07-15T08:52:39Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"fb72ddda8569a179b7515ade9d70259d5a6b0226f6564aee41659b20cd369189","abstract_canon_sha256":"8e55e27267e951d5231a8e29773e01f235664186387f81e1fa7244e5d6b7b301"},"schema_version":"1.0"},"canonical_sha256":"1709ebe7ea8e14b8795235349012c4afd165a5cf307b775d731c34519c547a35","source":{"kind":"arxiv","id":"2007.07547","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2007.07547","created_at":"2026-07-05T01:19:29Z"},{"alias_kind":"arxiv_version","alias_value":"2007.07547v1","created_at":"2026-07-05T01:19:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2007.07547","created_at":"2026-07-05T01:19:29Z"},{"alias_kind":"pith_short_12","alias_value":"C4E6XZ7KRYKL","created_at":"2026-07-05T01:19:29Z"},{"alias_kind":"pith_short_16","alias_value":"C4E6XZ7KRYKLQ6KS","created_at":"2026-07-05T01:19:29Z"},{"alias_kind":"pith_short_8","alias_value":"C4E6XZ7K","created_at":"2026-07-05T01:19:29Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:C4E6XZ7KRYKLQ6KSGU2JAEWEV7","target":"record","payload":{"canonical_record":{"source":{"id":"2007.07547","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-07-15T08:52:39Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"fb72ddda8569a179b7515ade9d70259d5a6b0226f6564aee41659b20cd369189","abstract_canon_sha256":"8e55e27267e951d5231a8e29773e01f235664186387f81e1fa7244e5d6b7b301"},"schema_version":"1.0"},"canonical_sha256":"1709ebe7ea8e14b8795235349012c4afd165a5cf307b775d731c34519c547a35","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:19:29.824193Z","signature_b64":"WYyBvGaSr0MC75Dz3jl0ntImpPH0n9WJwsyZycXRu8qbZB3pF2pJikgT4QTQZfUonXuxE6SY/6ip4IsG1HNHCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1709ebe7ea8e14b8795235349012c4afd165a5cf307b775d731c34519c547a35","last_reissued_at":"2026-07-05T01:19:29.823774Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:19:29.823774Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2007.07547","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":"2026-07-05T01:19:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eIxxM4Bk0fdtJ+79R1AGx/XZMpqLWyTW4jPafhCodXLWyzE3q6gSevpZ+tEBv7bSTKuOZiaudW2s+TjM72ffCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T10:54:41.536815Z"},"content_sha256":"b745e387c614697789b4bd68a175ee48b7bd59c4f5ce12806d08b067af3ddbdd","schema_version":"1.0","event_id":"sha256:b745e387c614697789b4bd68a175ee48b7bd59c4f5ce12806d08b067af3ddbdd"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:C4E6XZ7KRYKLQ6KSGU2JAEWEV7","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Evaluation of Neural Network Classification Systems on Document Stream","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Aurelie Joseph, Jean-Marc Ogier, Joris Voerman, Mickael Coustaty, Vincent Poulain d Andecy","submitted_at":"2020-07-15T08:52:39Z","abstract_excerpt":"One major drawback of state of the art Neural Networks (NN)-based approaches for document classification purposes is the large number of training samples required to obtain an efficient classification. The minimum required number is around one thousand annotated documents for each class. In many cases it is very difficult, if not impossible, to gather this number of samples in real industrial processes. In this paper, we analyse the efficiency of NN-based document classification systems in a sub-optimal training case, based on the situation of a company document stream. We evaluated three diff"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2007.07547","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/2007.07547/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":"2026-07-05T01:19:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QwooFtJjxnbNvcyR+DBxfxkLZ1uw8LIHxY2ja820z9V9sbPlJi98SJZ27S/cjpN+pB2G69bcZcNZI2htyr6vCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T10:54:41.537689Z"},"content_sha256":"87ca90fe3c5045f1d135b9445f09d76cfc5f93ceec61475036d7b97b58cb0a4d","schema_version":"1.0","event_id":"sha256:87ca90fe3c5045f1d135b9445f09d76cfc5f93ceec61475036d7b97b58cb0a4d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/C4E6XZ7KRYKLQ6KSGU2JAEWEV7/bundle.json","state_url":"https://pith.science/pith/C4E6XZ7KRYKLQ6KSGU2JAEWEV7/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/C4E6XZ7KRYKLQ6KSGU2JAEWEV7/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":"2026-08-06T10:54:41Z","links":{"resolver":"https://pith.science/pith/C4E6XZ7KRYKLQ6KSGU2JAEWEV7","bundle":"https://pith.science/pith/C4E6XZ7KRYKLQ6KSGU2JAEWEV7/bundle.json","state":"https://pith.science/pith/C4E6XZ7KRYKLQ6KSGU2JAEWEV7/state.json","well_known_bundle":"https://pith.science/.well-known/pith/C4E6XZ7KRYKLQ6KSGU2JAEWEV7/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:C4E6XZ7KRYKLQ6KSGU2JAEWEV7","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":"8e55e27267e951d5231a8e29773e01f235664186387f81e1fa7244e5d6b7b301","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-07-15T08:52:39Z","title_canon_sha256":"fb72ddda8569a179b7515ade9d70259d5a6b0226f6564aee41659b20cd369189"},"schema_version":"1.0","source":{"id":"2007.07547","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2007.07547","created_at":"2026-07-05T01:19:29Z"},{"alias_kind":"arxiv_version","alias_value":"2007.07547v1","created_at":"2026-07-05T01:19:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2007.07547","created_at":"2026-07-05T01:19:29Z"},{"alias_kind":"pith_short_12","alias_value":"C4E6XZ7KRYKL","created_at":"2026-07-05T01:19:29Z"},{"alias_kind":"pith_short_16","alias_value":"C4E6XZ7KRYKLQ6KS","created_at":"2026-07-05T01:19:29Z"},{"alias_kind":"pith_short_8","alias_value":"C4E6XZ7K","created_at":"2026-07-05T01:19:29Z"}],"graph_snapshots":[{"event_id":"sha256:87ca90fe3c5045f1d135b9445f09d76cfc5f93ceec61475036d7b97b58cb0a4d","target":"graph","created_at":"2026-07-05T01:19:29Z","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/2007.07547/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"One major drawback of state of the art Neural Networks (NN)-based approaches for document classification purposes is the large number of training samples required to obtain an efficient classification. The minimum required number is around one thousand annotated documents for each class. In many cases it is very difficult, if not impossible, to gather this number of samples in real industrial processes. In this paper, we analyse the efficiency of NN-based document classification systems in a sub-optimal training case, based on the situation of a company document stream. We evaluated three diff","authors_text":"Aurelie Joseph, Jean-Marc Ogier, Joris Voerman, Mickael Coustaty, Vincent Poulain d Andecy","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-07-15T08:52:39Z","title":"Evaluation of Neural Network Classification Systems on Document Stream"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2007.07547","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:b745e387c614697789b4bd68a175ee48b7bd59c4f5ce12806d08b067af3ddbdd","target":"record","created_at":"2026-07-05T01:19:29Z","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":"8e55e27267e951d5231a8e29773e01f235664186387f81e1fa7244e5d6b7b301","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-07-15T08:52:39Z","title_canon_sha256":"fb72ddda8569a179b7515ade9d70259d5a6b0226f6564aee41659b20cd369189"},"schema_version":"1.0","source":{"id":"2007.07547","kind":"arxiv","version":1}},"canonical_sha256":"1709ebe7ea8e14b8795235349012c4afd165a5cf307b775d731c34519c547a35","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1709ebe7ea8e14b8795235349012c4afd165a5cf307b775d731c34519c547a35","first_computed_at":"2026-07-05T01:19:29.823774Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:19:29.823774Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"WYyBvGaSr0MC75Dz3jl0ntImpPH0n9WJwsyZycXRu8qbZB3pF2pJikgT4QTQZfUonXuxE6SY/6ip4IsG1HNHCA==","signature_status":"signed_v1","signed_at":"2026-07-05T01:19:29.824193Z","signed_message":"canonical_sha256_bytes"},"source_id":"2007.07547","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b745e387c614697789b4bd68a175ee48b7bd59c4f5ce12806d08b067af3ddbdd","sha256:87ca90fe3c5045f1d135b9445f09d76cfc5f93ceec61475036d7b97b58cb0a4d"],"state_sha256":"20ebe2e13d41c9e4f40f98de7bae80aa37632a9f045af44c008c1beb8b965916"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"c/CKUa2ac9yF0aGdBmIXiAxRbpk3YwNw1z5UyatIsKxHE2OfCbG1ZGTEAjfJWlZiCPK5svYd/VxsWHT4OgpJDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T10:54:41.543364Z","bundle_sha256":"1f55340a415ff40393dd170ff23e989bc3f4d90f544bf0ae5ec0c04691147289"}}