{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:WLWPMVVDRTZNJV2R2NFCNSC2GX","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":"0339e3552ddf86210f6d980f4ed1046f5a90ed6fe6b7fef72daea6cec4790199","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-01-29T00:03:54Z","title_canon_sha256":"a578ff1a25879c2051762bbf6121e6b438991e8ef3838e18a0f02114c3c0b136"},"schema_version":"1.0","source":{"id":"1801.09321","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1801.09321","created_at":"2026-05-18T00:06:46Z"},{"alias_kind":"arxiv_version","alias_value":"1801.09321v3","created_at":"2026-05-18T00:06:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1801.09321","created_at":"2026-05-18T00:06:46Z"},{"alias_kind":"pith_short_12","alias_value":"WLWPMVVDRTZN","created_at":"2026-05-18T12:33:01Z"},{"alias_kind":"pith_short_16","alias_value":"WLWPMVVDRTZNJV2R","created_at":"2026-05-18T12:33:01Z"},{"alias_kind":"pith_short_8","alias_value":"WLWPMVVD","created_at":"2026-05-18T12:33:01Z"}],"graph_snapshots":[{"event_id":"sha256:df96db5d44ab6ebc5b8279baee5751f8280737c12e047a6061fcf6226d78903e","target":"graph","created_at":"2026-05-18T00:06:46Z","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"},"paper":{"abstract_excerpt":"In this work, a region-based Deep Convolutional Neural Network framework is proposed for document structure learning. The contribution of this work involves efficient training of region based classifiers and effective ensembling for document image classification. A primary level of `inter-domain' transfer learning is used by exporting weights from a pre-trained VGG16 architecture on the ImageNet dataset to train a document classifier on whole document images. Exploiting the nature of region based influence modelling, a secondary level of `intra-domain' transfer learning is used for rapid train","authors_text":"Arindam Das, Saikat Roy, Swapan Kumar Parui, Ujjwal Bhattacharya","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-01-29T00:03:54Z","title":"Document Image Classification with Intra-Domain Transfer Learning and Stacked Generalization of Deep Convolutional Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1801.09321","kind":"arxiv","version":3},"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:fc23a247426f3a705ec621ab8bc60fedb5ab6d7d0337cf68b4def293e586d4b1","target":"record","created_at":"2026-05-18T00:06:46Z","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":"0339e3552ddf86210f6d980f4ed1046f5a90ed6fe6b7fef72daea6cec4790199","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-01-29T00:03:54Z","title_canon_sha256":"a578ff1a25879c2051762bbf6121e6b438991e8ef3838e18a0f02114c3c0b136"},"schema_version":"1.0","source":{"id":"1801.09321","kind":"arxiv","version":3}},"canonical_sha256":"b2ecf656a38cf2d4d751d34a26c85a35d9f854dc99a9d2c0f8589d38d8df3113","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b2ecf656a38cf2d4d751d34a26c85a35d9f854dc99a9d2c0f8589d38d8df3113","first_computed_at":"2026-05-18T00:06:46.300600Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:06:46.300600Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"VYPUU+mrTtdj21BBbKt05QnmoAXAv1fv9zYIBBNlnnvEHtbD996ocAIv33qaqHrNX3tG7sscwyUKn7HMGQCDAw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:06:46.301093Z","signed_message":"canonical_sha256_bytes"},"source_id":"1801.09321","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fc23a247426f3a705ec621ab8bc60fedb5ab6d7d0337cf68b4def293e586d4b1","sha256:df96db5d44ab6ebc5b8279baee5751f8280737c12e047a6061fcf6226d78903e"],"state_sha256":"d7fb672ea109d5b4b6eb17f73fe4c0832fa02c875697ecf2a3989d79c642043b"}