{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:WZBTSO2E27RBUMDNPWGSYMN4LF","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":"159369d66e11c530893ed09f22456417af4ed4e9e4dea881f5cbf7eb23974f6c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-13T06:47:09Z","title_canon_sha256":"1db5eef78e2352e503b6cf4a096023be90291a84d2d6f075d5f1aed47c13f574"},"schema_version":"1.0","source":{"id":"2605.13073","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.13073","created_at":"2026-05-18T03:08:58Z"},{"alias_kind":"arxiv_version","alias_value":"2605.13073v1","created_at":"2026-05-18T03:08:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.13073","created_at":"2026-05-18T03:08:58Z"},{"alias_kind":"pith_short_12","alias_value":"WZBTSO2E27RB","created_at":"2026-05-18T12:33:37Z"},{"alias_kind":"pith_short_16","alias_value":"WZBTSO2E27RBUMDN","created_at":"2026-05-18T12:33:37Z"},{"alias_kind":"pith_short_8","alias_value":"WZBTSO2E","created_at":"2026-05-18T12:33:37Z"}],"graph_snapshots":[{"event_id":"sha256:b82571bebc55506337ba80b49a9b4ed8d3cbb5442eb9f8c9faf286da93a3dfec","target":"graph","created_at":"2026-05-18T03:08:58Z","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":4,"items":[{"attestation":"unclaimed","claim_id":"C1","kind":"strongest_claim","source":"verdict.strongest_claim","status":"machine_extracted","text":"We propose a conflict-aware 3DGS framework that addresses this problem from both image-space supervision and gradient-level optimization. ... our method achieves state-of-the-art rendering quality under complex transient distractors and cross-view inconsistencies."},{"attestation":"unclaimed","claim_id":"C2","kind":"weakest_assumption","source":"verdict.weakest_assumption","status":"machine_extracted","text":"The assumption that semantic consistency-guided masking can accurately learn pixel-wise consistency scores to suppress unreliable supervision and that mutually rotating view-specific gradients into an orthogonal configuration reduces negative directional interference without losing useful optimization signal."},{"attestation":"unclaimed","claim_id":"C3","kind":"one_line_summary","source":"verdict.one_line_summary","status":"machine_extracted","text":"HarmoGS improves in-the-wild 3D Gaussian Splatting by using semantic consistency-guided masking and dual-view conflict-aware gradient harmonization to reduce artifacts from transient distractors and cross-view inconsistencies."},{"attestation":"unclaimed","claim_id":"C4","kind":"headline","source":"verdict.pith_extraction.headline","status":"machine_extracted","text":"HarmoGS resolves conflicting gradients in wild 3D Gaussian Splatting by refining masks with semantic consistency and rotating view gradients into orthogonal alignment."}],"snapshot_sha256":"fe98a6393df95403c1e4d2922ce7c289da8b18833a1a0b7f1891fea6967a4bb2"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"In-the-wild 3D Gaussian Splatting remains challenging due to transient distractors and illumination-induced cross-view appearance inconsistencies. Existing methods mainly rely on image-level masking to suppress unreliable supervision, but masking alone cannot fully eliminate residual occlusions or resolve illumination-induced inconsistencies, both of which can introduce conflicting cross-view gradients. These unresolved conflicts may destabilize Gaussian optimization and lead to visible reconstruction artifacts. We propose a conflict-aware 3DGS framework that addresses this problem from both i","authors_text":"Jian-Fang Hu, Jianhuang Lai, Tianze Zhu, Wei-Shi Zheng, Yulei Kang","cross_cats":[],"headline":"HarmoGS resolves conflicting gradients in wild 3D Gaussian Splatting by refining masks with semantic consistency and rotating view gradients into orthogonal alignment.","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-13T06:47:09Z","title":"HarmoGS: Robust 3D Gaussian Splatting in the Wild via Conflict-Aware Gradient Harmonization"},"references":{"count":37,"internal_anchors":1,"resolved_work":37,"sample":[{"cited_arxiv_id":"","doi":"","is_internal_anchor":false,"ref_index":1,"title":"Tensorf: Tensorial radiance fields","work_id":"dd4b09a1-6330-4fbf-8f26-0f12f1a94414","year":2022},{"cited_arxiv_id":"","doi":"","is_internal_anchor":false,"ref_index":2,"title":"Nerf-hugs: Improved neural radiance fields in non-static scenes using heuristics-guided segmentation","work_id":"9078c431-4250-4b59-9690-3390a557e7ed","year":2024},{"cited_arxiv_id":"","doi":"","is_internal_anchor":false,"ref_index":3,"title":"Hallucinated neural radiance fields in the wild","work_id":"a0f49056-909e-4ea7-839c-150f414433a0","year":2022},{"cited_arxiv_id":"","doi":"","is_internal_anchor":false,"ref_index":4,"title":"K-planes: Explicit radiance fields in space, time, and appearance","work_id":"30dcc940-6c9a-457f-94c3-6e2634f6c343","year":2023},{"cited_arxiv_id":"","doi":"","is_internal_anchor":false,"ref_index":5,"title":"Plenoxels: Radiance fields without neural networks","work_id":"31d38ed8-2831-43d2-9b63-ceb9550be5aa","year":2022}],"snapshot_sha256":"ffac81dc6250539fd0646a64a22fc8b0e0c332064fd7096ccb3bb1b5daeab964"},"source":{"id":"2605.13073","kind":"arxiv","version":1},"verdict":{"created_at":"2026-05-14T20:14:25.946078Z","id":"34e2dfc1-bc98-491c-9839-a5a98e4f268b","model_set":{"reader":"grok-4.3"},"one_line_summary":"HarmoGS improves in-the-wild 3D Gaussian Splatting by using semantic consistency-guided masking and dual-view conflict-aware gradient harmonization to reduce artifacts from transient distractors and cross-view inconsistencies.","pipeline_version":"pith-pipeline@v0.9.0","pith_extraction_headline":"HarmoGS resolves conflicting gradients in wild 3D Gaussian Splatting by refining masks with semantic consistency and rotating view gradients into orthogonal alignment.","strongest_claim":"We propose a conflict-aware 3DGS framework that addresses this problem from both image-space supervision and gradient-level optimization. ... our method achieves state-of-the-art rendering quality under complex transient distractors and cross-view inconsistencies.","weakest_assumption":"The assumption that semantic consistency-guided masking can accurately learn pixel-wise consistency scores to suppress unreliable supervision and that mutually rotating view-specific gradients into an orthogonal configuration reduces negative directional interference without losing useful optimization signal."}},"verdict_id":"34e2dfc1-bc98-491c-9839-a5a98e4f268b"}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:9b877a918b863fe00501ace146355c5e8545346c8db1166ac20efa1edd70faf8","target":"record","created_at":"2026-05-18T03:08:58Z","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":"159369d66e11c530893ed09f22456417af4ed4e9e4dea881f5cbf7eb23974f6c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-13T06:47:09Z","title_canon_sha256":"1db5eef78e2352e503b6cf4a096023be90291a84d2d6f075d5f1aed47c13f574"},"schema_version":"1.0","source":{"id":"2605.13073","kind":"arxiv","version":1}},"canonical_sha256":"b643393b44d7e21a306d7d8d2c31bc59731ac49967da5eabc6ebe8e091ea48f4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b643393b44d7e21a306d7d8d2c31bc59731ac49967da5eabc6ebe8e091ea48f4","first_computed_at":"2026-05-18T03:08:58.834878Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:08:58.834878Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QRDs2oT+9yyss4cz/ycf1Bzx/ngvCwhC4s5UNbADi8CZXMgJZxOoFH0DfugY6S4Fi7hAnWivPXBVW92rpJQdDA==","signature_status":"signed_v1","signed_at":"2026-05-18T03:08:58.835521Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.13073","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9b877a918b863fe00501ace146355c5e8545346c8db1166ac20efa1edd70faf8","sha256:b82571bebc55506337ba80b49a9b4ed8d3cbb5442eb9f8c9faf286da93a3dfec"],"state_sha256":"5da4212352ec0bac9927017594953dec5e7ca962057f5af844a951372b2bf22d"}