{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:77VEDRDFLW3HVA26AIHLCRSML5","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":"b1c9a95279e70f003a86cd8ccb06eda2f058b9596164f2e0d5618f55e8c3c314","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-11-25T12:52:08Z","title_canon_sha256":"15bcc980c38eefbccd80bcc7e996e28d85b661b3e145b561e3c2f1a1d18ae189"},"schema_version":"1.0","source":{"id":"2211.14074","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.14074","created_at":"2026-07-05T05:19:29Z"},{"alias_kind":"arxiv_version","alias_value":"2211.14074v1","created_at":"2026-07-05T05:19:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.14074","created_at":"2026-07-05T05:19:29Z"},{"alias_kind":"pith_short_12","alias_value":"77VEDRDFLW3H","created_at":"2026-07-05T05:19:29Z"},{"alias_kind":"pith_short_16","alias_value":"77VEDRDFLW3HVA26","created_at":"2026-07-05T05:19:29Z"},{"alias_kind":"pith_short_8","alias_value":"77VEDRDF","created_at":"2026-07-05T05:19:29Z"}],"graph_snapshots":[{"event_id":"sha256:3fdac7c6b34596d02a7c391d99a2153c1950f6277d1efe25b90e55b7fe9f82be","target":"graph","created_at":"2026-07-05T05:19:29Z","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/2211.14074/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this work, we leverage estimated depth to boost self-supervised contrastive learning for segmentation of urban scenes, where unlabeled videos are readily available for training self-supervised depth estimation. We argue that the semantics of a coherent group of pixels in 3D space is self-contained and invariant to the contexts in which they appear. We group coherent, semantically related pixels into coherent depth regions given their estimated depth and use copy-paste to synthetically vary their contexts. In this way, cross-context correspondences are built in contrastive learning and a con","authors_text":"Attila Lengyel, Jan van Gemert, Liang Zeng, Nergis T\\\"omen","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-11-25T12:52:08Z","title":"Copy-Pasting Coherent Depth Regions Improves Contrastive Learning for Urban-Scene Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.14074","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:b3c2482af846f89e206973dba1f491bfabf485ca2531d239d4c460ee804c0f66","target":"record","created_at":"2026-07-05T05:19:29Z","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":"b1c9a95279e70f003a86cd8ccb06eda2f058b9596164f2e0d5618f55e8c3c314","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-11-25T12:52:08Z","title_canon_sha256":"15bcc980c38eefbccd80bcc7e996e28d85b661b3e145b561e3c2f1a1d18ae189"},"schema_version":"1.0","source":{"id":"2211.14074","kind":"arxiv","version":1}},"canonical_sha256":"ffea41c4655db67a835e020eb1464c5f4a64bf0b694242aff3cc845aeaa4d6e9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ffea41c4655db67a835e020eb1464c5f4a64bf0b694242aff3cc845aeaa4d6e9","first_computed_at":"2026-07-05T05:19:29.337626Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:19:29.337626Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ZXTHcPQZtUmTQWVajSOVXnabeVQUwLK/MIK5to8vKqIc+f22TTWU0u+Tg2y4zlPx4gPV/2Tack38I1rJIPYwAA==","signature_status":"signed_v1","signed_at":"2026-07-05T05:19:29.337979Z","signed_message":"canonical_sha256_bytes"},"source_id":"2211.14074","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b3c2482af846f89e206973dba1f491bfabf485ca2531d239d4c460ee804c0f66","sha256:3fdac7c6b34596d02a7c391d99a2153c1950f6277d1efe25b90e55b7fe9f82be"],"state_sha256":"4a4055637c0ca5a66dd8d4a1a846e601bf179e0d3fc5f5eea2bfa69f2cfffa0b"}