{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:JV5FSUEFVH4HWI7AAFZCIYGMOU","short_pith_number":"pith:JV5FSUEF","canonical_record":{"source":{"id":"2004.05713","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-04-12T23:05:19Z","cross_cats_sorted":[],"title_canon_sha256":"aab10526bb5db3d6740a0088882d344a4de23ec8aa5cc6ccd51684f7973e6848","abstract_canon_sha256":"a20f6dfcc23e831048668b4c6fa7f43fbbcd74e442694492e71724db591f2688"},"schema_version":"1.0"},"canonical_sha256":"4d7a595085a9f87b23e001722460cc750d09d0964e44d24112bdc0d8edda2432","source":{"kind":"arxiv","id":"2004.05713","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2004.05713","created_at":"2026-07-05T00:58:24Z"},{"alias_kind":"arxiv_version","alias_value":"2004.05713v3","created_at":"2026-07-05T00:58:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2004.05713","created_at":"2026-07-05T00:58:24Z"},{"alias_kind":"pith_short_12","alias_value":"JV5FSUEFVH4H","created_at":"2026-07-05T00:58:24Z"},{"alias_kind":"pith_short_16","alias_value":"JV5FSUEFVH4HWI7A","created_at":"2026-07-05T00:58:24Z"},{"alias_kind":"pith_short_8","alias_value":"JV5FSUEF","created_at":"2026-07-05T00:58:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:JV5FSUEFVH4HWI7AAFZCIYGMOU","target":"record","payload":{"canonical_record":{"source":{"id":"2004.05713","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-04-12T23:05:19Z","cross_cats_sorted":[],"title_canon_sha256":"aab10526bb5db3d6740a0088882d344a4de23ec8aa5cc6ccd51684f7973e6848","abstract_canon_sha256":"a20f6dfcc23e831048668b4c6fa7f43fbbcd74e442694492e71724db591f2688"},"schema_version":"1.0"},"canonical_sha256":"4d7a595085a9f87b23e001722460cc750d09d0964e44d24112bdc0d8edda2432","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:58:24.778651Z","signature_b64":"PK8RLhRWoGBmFXDmayF+xXfNGGx8FksA0we66GQv1K8H1sQAGHr+tHgW+w4whJf2r+G9mWwXvpiKr3nknA3UAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4d7a595085a9f87b23e001722460cc750d09d0964e44d24112bdc0d8edda2432","last_reissued_at":"2026-07-05T00:58:24.778145Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:58:24.778145Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2004.05713","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T00:58:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ERhiaR7LYy4Rw5xCnjFjPm2PzQjQdyvZq8/Egtvlr1O26s4AnhZDmNl0En6yhyDBIpqT6HJvCjDKgkxEPWZtBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T17:04:26.257289Z"},"content_sha256":"f779b67bba441d96cbffc9021a29501a749ecb83f6187ce09ac209fd6a39e621","schema_version":"1.0","event_id":"sha256:f779b67bba441d96cbffc9021a29501a749ecb83f6187ce09ac209fd6a39e621"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:JV5FSUEFVH4HWI7AAFZCIYGMOU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Learning Spatial Relationships between Samples of Patent Image Shapes","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Diane Oyen, Juan Castorena, Manish Bhattarai","submitted_at":"2020-04-12T23:05:19Z","abstract_excerpt":"Binary image based classification and retrieval of documents of an intellectual nature is a very challenging problem. Variations in the binary image generation mechanisms which are subject to the document artisan designer including drawing style, view-point, inclusion of multiple image components are plausible causes for increasing the complexity of the problem. In this work, we propose a method suitable to binary images which bridges some of the successes of deep learning (DL) to alleviate the problems introduced by the aforementioned variations. The method consists on extracting the shape of"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2004.05713","kind":"arxiv","version":3},"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/2004.05713/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":"2026-07-05T00:58:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1glPWNjcxBPNaXyg5kyQHj83UdcI+NfMxiOFjKshntZu1nbhBApkQrOZZ3n7iLwJP7cWGft37LW390Qt/Y47Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T17:04:26.257802Z"},"content_sha256":"614db8bc7081058aec225e60f3aee290df23e4ed311d04a03dc2884a46559982","schema_version":"1.0","event_id":"sha256:614db8bc7081058aec225e60f3aee290df23e4ed311d04a03dc2884a46559982"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JV5FSUEFVH4HWI7AAFZCIYGMOU/bundle.json","state_url":"https://pith.science/pith/JV5FSUEFVH4HWI7AAFZCIYGMOU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JV5FSUEFVH4HWI7AAFZCIYGMOU/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":"2026-08-06T17:04:26Z","links":{"resolver":"https://pith.science/pith/JV5FSUEFVH4HWI7AAFZCIYGMOU","bundle":"https://pith.science/pith/JV5FSUEFVH4HWI7AAFZCIYGMOU/bundle.json","state":"https://pith.science/pith/JV5FSUEFVH4HWI7AAFZCIYGMOU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JV5FSUEFVH4HWI7AAFZCIYGMOU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:JV5FSUEFVH4HWI7AAFZCIYGMOU","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":"a20f6dfcc23e831048668b4c6fa7f43fbbcd74e442694492e71724db591f2688","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-04-12T23:05:19Z","title_canon_sha256":"aab10526bb5db3d6740a0088882d344a4de23ec8aa5cc6ccd51684f7973e6848"},"schema_version":"1.0","source":{"id":"2004.05713","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2004.05713","created_at":"2026-07-05T00:58:24Z"},{"alias_kind":"arxiv_version","alias_value":"2004.05713v3","created_at":"2026-07-05T00:58:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2004.05713","created_at":"2026-07-05T00:58:24Z"},{"alias_kind":"pith_short_12","alias_value":"JV5FSUEFVH4H","created_at":"2026-07-05T00:58:24Z"},{"alias_kind":"pith_short_16","alias_value":"JV5FSUEFVH4HWI7A","created_at":"2026-07-05T00:58:24Z"},{"alias_kind":"pith_short_8","alias_value":"JV5FSUEF","created_at":"2026-07-05T00:58:24Z"}],"graph_snapshots":[{"event_id":"sha256:614db8bc7081058aec225e60f3aee290df23e4ed311d04a03dc2884a46559982","target":"graph","created_at":"2026-07-05T00:58:24Z","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/2004.05713/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Binary image based classification and retrieval of documents of an intellectual nature is a very challenging problem. Variations in the binary image generation mechanisms which are subject to the document artisan designer including drawing style, view-point, inclusion of multiple image components are plausible causes for increasing the complexity of the problem. In this work, we propose a method suitable to binary images which bridges some of the successes of deep learning (DL) to alleviate the problems introduced by the aforementioned variations. The method consists on extracting the shape of","authors_text":"Diane Oyen, Juan Castorena, Manish Bhattarai","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-04-12T23:05:19Z","title":"Learning Spatial Relationships between Samples of Patent Image Shapes"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2004.05713","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:f779b67bba441d96cbffc9021a29501a749ecb83f6187ce09ac209fd6a39e621","target":"record","created_at":"2026-07-05T00:58:24Z","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":"a20f6dfcc23e831048668b4c6fa7f43fbbcd74e442694492e71724db591f2688","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-04-12T23:05:19Z","title_canon_sha256":"aab10526bb5db3d6740a0088882d344a4de23ec8aa5cc6ccd51684f7973e6848"},"schema_version":"1.0","source":{"id":"2004.05713","kind":"arxiv","version":3}},"canonical_sha256":"4d7a595085a9f87b23e001722460cc750d09d0964e44d24112bdc0d8edda2432","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4d7a595085a9f87b23e001722460cc750d09d0964e44d24112bdc0d8edda2432","first_computed_at":"2026-07-05T00:58:24.778145Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:58:24.778145Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"PK8RLhRWoGBmFXDmayF+xXfNGGx8FksA0we66GQv1K8H1sQAGHr+tHgW+w4whJf2r+G9mWwXvpiKr3nknA3UAw==","signature_status":"signed_v1","signed_at":"2026-07-05T00:58:24.778651Z","signed_message":"canonical_sha256_bytes"},"source_id":"2004.05713","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f779b67bba441d96cbffc9021a29501a749ecb83f6187ce09ac209fd6a39e621","sha256:614db8bc7081058aec225e60f3aee290df23e4ed311d04a03dc2884a46559982"],"state_sha256":"fa6f6f528e5e52cf982014f80bc9d8b173683de19a532441324b494829dc53b0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uPWx5K54DRicH6MDEB7Z0DIlw5r44oXNbsd4iPLT+OeO4BrAjZK+9BqjyzF9zTx/rAMCbrdQiDOr3QbFs3LvAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T17:04:26.262595Z","bundle_sha256":"d69e01f8c29693abdca4604d5df5fb2e47d5c9a0b59b453ecc482e47e40d2b51"}}