{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:FXBBQKVW2VL3TATFBRVGYUG3W6","short_pith_number":"pith:FXBBQKVW","canonical_record":{"source":{"id":"2311.04098","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-07T16:14:38Z","cross_cats_sorted":[],"title_canon_sha256":"5a0b40a4fd863789842916f269e03c502ae31b626027f8660710605ada3bc689","abstract_canon_sha256":"a896adf7cd2bf3aa43a2bce4450d5aa821594699909ede7069abc314b0121547"},"schema_version":"1.0"},"canonical_sha256":"2dc2182ab6d557b982650c6a6c50dbb7a449d874ea2c31bd92dd43673b2f6065","source":{"kind":"arxiv","id":"2311.04098","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.04098","created_at":"2026-07-05T07:10:10Z"},{"alias_kind":"arxiv_version","alias_value":"2311.04098v1","created_at":"2026-07-05T07:10:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.04098","created_at":"2026-07-05T07:10:10Z"},{"alias_kind":"pith_short_12","alias_value":"FXBBQKVW2VL3","created_at":"2026-07-05T07:10:10Z"},{"alias_kind":"pith_short_16","alias_value":"FXBBQKVW2VL3TATF","created_at":"2026-07-05T07:10:10Z"},{"alias_kind":"pith_short_8","alias_value":"FXBBQKVW","created_at":"2026-07-05T07:10:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:FXBBQKVW2VL3TATFBRVGYUG3W6","target":"record","payload":{"canonical_record":{"source":{"id":"2311.04098","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-07T16:14:38Z","cross_cats_sorted":[],"title_canon_sha256":"5a0b40a4fd863789842916f269e03c502ae31b626027f8660710605ada3bc689","abstract_canon_sha256":"a896adf7cd2bf3aa43a2bce4450d5aa821594699909ede7069abc314b0121547"},"schema_version":"1.0"},"canonical_sha256":"2dc2182ab6d557b982650c6a6c50dbb7a449d874ea2c31bd92dd43673b2f6065","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:10:10.936302Z","signature_b64":"LB1CsuZ63VChVuuvy9+g+FnU+m7zEpxr52BNxbneGQCBpXtpG9BS0Jl50JBwb0F+WQe0+rmgV71A4sAOV/BxBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2dc2182ab6d557b982650c6a6c50dbb7a449d874ea2c31bd92dd43673b2f6065","last_reissued_at":"2026-07-05T07:10:10.935824Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:10:10.935824Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2311.04098","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":"2026-07-05T07:10:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Nj+KqcsR97+PZLDsr2BsziXhK60hr0Ye14f4tAjSvM7e1hEjqDjRAEOtp+tU5uEM2i+ZwPdZ2vkrEEz8GhfnDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T23:33:11.875252Z"},"content_sha256":"c59184d034a54909c3a14e8ec61050b91f6bd67076cc8ab02625d80e32ad77c0","schema_version":"1.0","event_id":"sha256:c59184d034a54909c3a14e8ec61050b91f6bd67076cc8ab02625d80e32ad77c0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:FXBBQKVW2VL3TATFBRVGYUG3W6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DeepPatent2: A Large-Scale Benchmarking Corpus for Technical Drawing Understanding","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Diane Oyen, Jian Wu, Kehinde Ajayi, Martin Gryder, Michal Kucer, Shawn M. Jones, Winston Shields, Xin Wei","submitted_at":"2023-11-07T16:14:38Z","abstract_excerpt":"Recent advances in computer vision (CV) and natural language processing have been driven by exploiting big data on practical applications. However, these research fields are still limited by the sheer volume, versatility, and diversity of the available datasets. CV tasks, such as image captioning, which has primarily been carried out on natural images, still struggle to produce accurate and meaningful captions on sketched images often included in scientific and technical documents. The advancement of other tasks such as 3D reconstruction from 2D images requires larger datasets with multiple vi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.04098","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/2311.04098/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":"2026-07-05T07:10:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/2+OonGcxspjtsa9gCaKC2/hz/ZYBfdNoJ76LTBai29iDNRxY1oClRnBbNdZ/vPZxEWjlDodpVlP7lV4IokxBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T23:33:11.875767Z"},"content_sha256":"8dd3494de204686a6e3c17e0652a28bee3d077aabb13f6e179a389e0201d0c41","schema_version":"1.0","event_id":"sha256:8dd3494de204686a6e3c17e0652a28bee3d077aabb13f6e179a389e0201d0c41"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FXBBQKVW2VL3TATFBRVGYUG3W6/bundle.json","state_url":"https://pith.science/pith/FXBBQKVW2VL3TATFBRVGYUG3W6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FXBBQKVW2VL3TATFBRVGYUG3W6/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":"2026-08-05T23:33:11Z","links":{"resolver":"https://pith.science/pith/FXBBQKVW2VL3TATFBRVGYUG3W6","bundle":"https://pith.science/pith/FXBBQKVW2VL3TATFBRVGYUG3W6/bundle.json","state":"https://pith.science/pith/FXBBQKVW2VL3TATFBRVGYUG3W6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FXBBQKVW2VL3TATFBRVGYUG3W6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:FXBBQKVW2VL3TATFBRVGYUG3W6","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":"a896adf7cd2bf3aa43a2bce4450d5aa821594699909ede7069abc314b0121547","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-07T16:14:38Z","title_canon_sha256":"5a0b40a4fd863789842916f269e03c502ae31b626027f8660710605ada3bc689"},"schema_version":"1.0","source":{"id":"2311.04098","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.04098","created_at":"2026-07-05T07:10:10Z"},{"alias_kind":"arxiv_version","alias_value":"2311.04098v1","created_at":"2026-07-05T07:10:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.04098","created_at":"2026-07-05T07:10:10Z"},{"alias_kind":"pith_short_12","alias_value":"FXBBQKVW2VL3","created_at":"2026-07-05T07:10:10Z"},{"alias_kind":"pith_short_16","alias_value":"FXBBQKVW2VL3TATF","created_at":"2026-07-05T07:10:10Z"},{"alias_kind":"pith_short_8","alias_value":"FXBBQKVW","created_at":"2026-07-05T07:10:10Z"}],"graph_snapshots":[{"event_id":"sha256:8dd3494de204686a6e3c17e0652a28bee3d077aabb13f6e179a389e0201d0c41","target":"graph","created_at":"2026-07-05T07:10:10Z","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/2311.04098/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent advances in computer vision (CV) and natural language processing have been driven by exploiting big data on practical applications. However, these research fields are still limited by the sheer volume, versatility, and diversity of the available datasets. CV tasks, such as image captioning, which has primarily been carried out on natural images, still struggle to produce accurate and meaningful captions on sketched images often included in scientific and technical documents. The advancement of other tasks such as 3D reconstruction from 2D images requires larger datasets with multiple vi","authors_text":"Diane Oyen, Jian Wu, Kehinde Ajayi, Martin Gryder, Michal Kucer, Shawn M. Jones, Winston Shields, Xin Wei","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-07T16:14:38Z","title":"DeepPatent2: A Large-Scale Benchmarking Corpus for Technical Drawing Understanding"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.04098","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:c59184d034a54909c3a14e8ec61050b91f6bd67076cc8ab02625d80e32ad77c0","target":"record","created_at":"2026-07-05T07:10:10Z","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":"a896adf7cd2bf3aa43a2bce4450d5aa821594699909ede7069abc314b0121547","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-07T16:14:38Z","title_canon_sha256":"5a0b40a4fd863789842916f269e03c502ae31b626027f8660710605ada3bc689"},"schema_version":"1.0","source":{"id":"2311.04098","kind":"arxiv","version":1}},"canonical_sha256":"2dc2182ab6d557b982650c6a6c50dbb7a449d874ea2c31bd92dd43673b2f6065","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2dc2182ab6d557b982650c6a6c50dbb7a449d874ea2c31bd92dd43673b2f6065","first_computed_at":"2026-07-05T07:10:10.935824Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:10:10.935824Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"LB1CsuZ63VChVuuvy9+g+FnU+m7zEpxr52BNxbneGQCBpXtpG9BS0Jl50JBwb0F+WQe0+rmgV71A4sAOV/BxBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:10:10.936302Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.04098","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c59184d034a54909c3a14e8ec61050b91f6bd67076cc8ab02625d80e32ad77c0","sha256:8dd3494de204686a6e3c17e0652a28bee3d077aabb13f6e179a389e0201d0c41"],"state_sha256":"e534aae242fc6a449efc7594925d4767e0f381279314199e3162a6f379f157ba"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UotwRmlOu7B4mzqItYtc6Gq7ttbt3lQazwfPRT4ZprUc2RvbhjrMYDX0Fu9lcWtkggZXHVkFjYtfeP/qbOPXDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T23:33:11.880622Z","bundle_sha256":"e59f786a9e26ecac79e2a0a3dd209325157bcc89e0c5d1dc716519c13af5eaf9"}}