{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:EKB4KWP36EW2FZMATBG2C44PRQ","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":"4cc974924a234d72dbe4e4538466a2c0c83f15069d72fc7e22d1c9c8ed658e2d","cross_cats_sorted":["cs.LG","cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-08-12T01:23:21Z","title_canon_sha256":"045662a264829fb497c07e09c735f900d358f43bd1819deab67bc551c2587363"},"schema_version":"1.0","source":{"id":"2008.05058","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2008.05058","created_at":"2026-07-05T03:45:07Z"},{"alias_kind":"arxiv_version","alias_value":"2008.05058v4","created_at":"2026-07-05T03:45:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2008.05058","created_at":"2026-07-05T03:45:07Z"},{"alias_kind":"pith_short_12","alias_value":"EKB4KWP36EW2","created_at":"2026-07-05T03:45:07Z"},{"alias_kind":"pith_short_16","alias_value":"EKB4KWP36EW2FZMA","created_at":"2026-07-05T03:45:07Z"},{"alias_kind":"pith_short_8","alias_value":"EKB4KWP3","created_at":"2026-07-05T03:45:07Z"}],"graph_snapshots":[{"event_id":"sha256:97335eff3087fd427e39374d9e12ebf716075d96a2595ee66e629d869d0ac08a","target":"graph","created_at":"2026-07-05T03:45:07Z","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/2008.05058/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Dynamic objects have a significant impact on the robot's perception of the environment which degrades the performance of essential tasks such as localization and mapping. In this work, we address this problem by synthesizing plausible color, texture and geometry in regions occluded by dynamic objects. We propose the novel geometry-aware DynaFill architecture that follows a coarse-to-fine topology and incorporates our gated recurrent feedback mechanism to adaptively fuse information from previous timesteps. We optimize our architecture using adversarial training to synthesize fine realistic tex","authors_text":"Abhinav Valada, Borna Be\\v{s}i\\'c","cross_cats":["cs.LG","cs.RO"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-08-12T01:23:21Z","title":"Dynamic Object Removal and Spatio-Temporal RGB-D Inpainting via Geometry-Aware Adversarial Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2008.05058","kind":"arxiv","version":4},"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":"sha256:3d2c725fae49d285a116cfd30508762f6a2122d1430d65a5da1654313c3378ca","target":"record","created_at":"2026-07-05T03:45:07Z","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":"4cc974924a234d72dbe4e4538466a2c0c83f15069d72fc7e22d1c9c8ed658e2d","cross_cats_sorted":["cs.LG","cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-08-12T01:23:21Z","title_canon_sha256":"045662a264829fb497c07e09c735f900d358f43bd1819deab67bc551c2587363"},"schema_version":"1.0","source":{"id":"2008.05058","kind":"arxiv","version":4}},"canonical_sha256":"2283c559fbf12da2e580984da1738f8c3bfb7de13bd590c233eeed51e0c5d7e6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2283c559fbf12da2e580984da1738f8c3bfb7de13bd590c233eeed51e0c5d7e6","first_computed_at":"2026-07-05T03:45:07.937033Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:45:07.937033Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"LP3BFQlBgn5ayLTRo3XAa5E8PPAkM+0vKCPhTqwkFHnfVjIKbfJM4Zi77IMEgqSDcnonYMfvQSkIn+HPrV2YBw==","signature_status":"signed_v1","signed_at":"2026-07-05T03:45:07.937477Z","signed_message":"canonical_sha256_bytes"},"source_id":"2008.05058","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3d2c725fae49d285a116cfd30508762f6a2122d1430d65a5da1654313c3378ca","sha256:97335eff3087fd427e39374d9e12ebf716075d96a2595ee66e629d869d0ac08a"],"state_sha256":"4f7c84d7330508db4072b8bd042ae99a16bc24d76e98903522ee7023961a38d2"}