{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:E3L6A2UXGOBFQ3UMFERH5QBCXF","short_pith_number":"pith:E3L6A2UX","canonical_record":{"source":{"id":"1901.00542","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-01-02T21:59:44Z","cross_cats_sorted":[],"title_canon_sha256":"aa2b4903a76477f184bd529eb60ad83b5126af98caddf5d3c2077e96ff52b8e8","abstract_canon_sha256":"acf2d23d736846f98f927a4f00c9085dcfa65efb4fc3dc4fa164d00c8700bd6b"},"schema_version":"1.0"},"canonical_sha256":"26d7e06a973382586e8c29227ec022b95596b2b97be92a09771d157f45f6465b","source":{"kind":"arxiv","id":"1901.00542","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1901.00542","created_at":"2026-05-17T23:57:02Z"},{"alias_kind":"arxiv_version","alias_value":"1901.00542v1","created_at":"2026-05-17T23:57:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1901.00542","created_at":"2026-05-17T23:57:02Z"},{"alias_kind":"pith_short_12","alias_value":"E3L6A2UXGOBF","created_at":"2026-05-18T12:33:15Z"},{"alias_kind":"pith_short_16","alias_value":"E3L6A2UXGOBFQ3UM","created_at":"2026-05-18T12:33:15Z"},{"alias_kind":"pith_short_8","alias_value":"E3L6A2UX","created_at":"2026-05-18T12:33:15Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:E3L6A2UXGOBFQ3UMFERH5QBCXF","target":"record","payload":{"canonical_record":{"source":{"id":"1901.00542","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-01-02T21:59:44Z","cross_cats_sorted":[],"title_canon_sha256":"aa2b4903a76477f184bd529eb60ad83b5126af98caddf5d3c2077e96ff52b8e8","abstract_canon_sha256":"acf2d23d736846f98f927a4f00c9085dcfa65efb4fc3dc4fa164d00c8700bd6b"},"schema_version":"1.0"},"canonical_sha256":"26d7e06a973382586e8c29227ec022b95596b2b97be92a09771d157f45f6465b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:57:02.208158Z","signature_b64":"oKNr+6gX26SMjiUqXI6XUmdcHyC+M1MucjdKy8/Pqel2tWCXu6ETGRFAkzLEfZr4FdnqHz7V7W5lFOpT/vY9Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"26d7e06a973382586e8c29227ec022b95596b2b97be92a09771d157f45f6465b","last_reissued_at":"2026-05-17T23:57:02.207515Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:57:02.207515Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1901.00542","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":"2026-05-17T23:57:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"35/E30p/iodgEBJqGGigYKcIJAdw+WqswQOOmAwzX7KeaFzJtqELyXKtWho3POPfnLtIOP3LhNaJ3e1AtwDLAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T19:02:29.866094Z"},"content_sha256":"1503296815fe6572fb0ad99ff8be9cb7924aa59bc7d412a09174ea0e97ed85e4","schema_version":"1.0","event_id":"sha256:1503296815fe6572fb0ad99ff8be9cb7924aa59bc7d412a09174ea0e97ed85e4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:E3L6A2UXGOBFQ3UMFERH5QBCXF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Photo-Sketching: Inferring Contour Drawings from Images","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Deva Ramanan, Ersin Yumer, Mengtian Li, Radomir Mech, Zhe Lin","submitted_at":"2019-01-02T21:59:44Z","abstract_excerpt":"Edges, boundaries and contours are important subjects of study in both computer graphics and computer vision. On one hand, they are the 2D elements that convey 3D shapes, on the other hand, they are indicative of occlusion events and thus separation of objects or semantic concepts. In this paper, we aim to generate contour drawings, boundary-like drawings that capture the outline of the visual scene. Prior art often cast this problem as boundary detection. However, the set of visual cues presented in the boundary detection output are different from the ones in contour drawings, and also the ar"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1901.00542","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":""},"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":"2026-05-17T23:57:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gKHDgOE7rMo/Ag6yMQ2d6F3YJ2Evyte2ja9nPMKhYLgx2VT9a7gCgzFrQG7E2FVc2QMbN5xNAQaBmSARY31xBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T19:02:29.866811Z"},"content_sha256":"01604e73eec183e3e4413e1ed43a9783624cfe2bd74e710b3b8c81413881f412","schema_version":"1.0","event_id":"sha256:01604e73eec183e3e4413e1ed43a9783624cfe2bd74e710b3b8c81413881f412"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/E3L6A2UXGOBFQ3UMFERH5QBCXF/bundle.json","state_url":"https://pith.science/pith/E3L6A2UXGOBFQ3UMFERH5QBCXF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/E3L6A2UXGOBFQ3UMFERH5QBCXF/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":"2026-05-28T19:02:29Z","links":{"resolver":"https://pith.science/pith/E3L6A2UXGOBFQ3UMFERH5QBCXF","bundle":"https://pith.science/pith/E3L6A2UXGOBFQ3UMFERH5QBCXF/bundle.json","state":"https://pith.science/pith/E3L6A2UXGOBFQ3UMFERH5QBCXF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/E3L6A2UXGOBFQ3UMFERH5QBCXF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:E3L6A2UXGOBFQ3UMFERH5QBCXF","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":"acf2d23d736846f98f927a4f00c9085dcfa65efb4fc3dc4fa164d00c8700bd6b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-01-02T21:59:44Z","title_canon_sha256":"aa2b4903a76477f184bd529eb60ad83b5126af98caddf5d3c2077e96ff52b8e8"},"schema_version":"1.0","source":{"id":"1901.00542","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1901.00542","created_at":"2026-05-17T23:57:02Z"},{"alias_kind":"arxiv_version","alias_value":"1901.00542v1","created_at":"2026-05-17T23:57:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1901.00542","created_at":"2026-05-17T23:57:02Z"},{"alias_kind":"pith_short_12","alias_value":"E3L6A2UXGOBF","created_at":"2026-05-18T12:33:15Z"},{"alias_kind":"pith_short_16","alias_value":"E3L6A2UXGOBFQ3UM","created_at":"2026-05-18T12:33:15Z"},{"alias_kind":"pith_short_8","alias_value":"E3L6A2UX","created_at":"2026-05-18T12:33:15Z"}],"graph_snapshots":[{"event_id":"sha256:01604e73eec183e3e4413e1ed43a9783624cfe2bd74e710b3b8c81413881f412","target":"graph","created_at":"2026-05-17T23:57:02Z","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":"Edges, boundaries and contours are important subjects of study in both computer graphics and computer vision. On one hand, they are the 2D elements that convey 3D shapes, on the other hand, they are indicative of occlusion events and thus separation of objects or semantic concepts. In this paper, we aim to generate contour drawings, boundary-like drawings that capture the outline of the visual scene. Prior art often cast this problem as boundary detection. However, the set of visual cues presented in the boundary detection output are different from the ones in contour drawings, and also the ar","authors_text":"Deva Ramanan, Ersin Yumer, Mengtian Li, Radomir Mech, Zhe Lin","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-01-02T21:59:44Z","title":"Photo-Sketching: Inferring Contour Drawings from Images"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1901.00542","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":"sha256:1503296815fe6572fb0ad99ff8be9cb7924aa59bc7d412a09174ea0e97ed85e4","target":"record","created_at":"2026-05-17T23:57:02Z","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":"acf2d23d736846f98f927a4f00c9085dcfa65efb4fc3dc4fa164d00c8700bd6b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-01-02T21:59:44Z","title_canon_sha256":"aa2b4903a76477f184bd529eb60ad83b5126af98caddf5d3c2077e96ff52b8e8"},"schema_version":"1.0","source":{"id":"1901.00542","kind":"arxiv","version":1}},"canonical_sha256":"26d7e06a973382586e8c29227ec022b95596b2b97be92a09771d157f45f6465b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"26d7e06a973382586e8c29227ec022b95596b2b97be92a09771d157f45f6465b","first_computed_at":"2026-05-17T23:57:02.207515Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:57:02.207515Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"oKNr+6gX26SMjiUqXI6XUmdcHyC+M1MucjdKy8/Pqel2tWCXu6ETGRFAkzLEfZr4FdnqHz7V7W5lFOpT/vY9Cw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:57:02.208158Z","signed_message":"canonical_sha256_bytes"},"source_id":"1901.00542","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1503296815fe6572fb0ad99ff8be9cb7924aa59bc7d412a09174ea0e97ed85e4","sha256:01604e73eec183e3e4413e1ed43a9783624cfe2bd74e710b3b8c81413881f412"],"state_sha256":"e54ac618766206315a3b3971357d5343b5289e8674f560ca64b94447ec4ae88f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WsUpcJpxAOuEQt8tvaSWxUKF2vjeQSxtn86RSiejIJKwuJIa9EGYyFC17VABYkFx/ZIpM/RzDgLRiCrO/AVRCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-28T19:02:29.871531Z","bundle_sha256":"5c2589c6579fe8f6b2cf640dcbd7f2c3f75a93bf8d534f7780edef4e131a0e68"}}