{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:GENZAWMJB3KM35PIH5IVPAXTXM","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":"6c19d005da490b0305ad068f53302b5109c9043b8d3346c5d10360e6be5c8c86","cross_cats_sorted":["eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-04-22T18:00:00Z","title_canon_sha256":"8d3b5e2dc4ff1a7ca33bd528e72f6410f5b10e9cfe0e2eb922a44029f76cf4e5"},"schema_version":"1.0","source":{"id":"2504.17810","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.17810","created_at":"2026-07-05T10:53:56Z"},{"alias_kind":"arxiv_version","alias_value":"2504.17810v1","created_at":"2026-07-05T10:53:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.17810","created_at":"2026-07-05T10:53:56Z"},{"alias_kind":"pith_short_12","alias_value":"GENZAWMJB3KM","created_at":"2026-07-05T10:53:56Z"},{"alias_kind":"pith_short_16","alias_value":"GENZAWMJB3KM35PI","created_at":"2026-07-05T10:53:56Z"},{"alias_kind":"pith_short_8","alias_value":"GENZAWMJ","created_at":"2026-07-05T10:53:56Z"}],"graph_snapshots":[{"event_id":"sha256:8c8fac25444d85dc4b83f0de74bb4edc80711231150c84ca3f2d0fd314cb5a41","target":"graph","created_at":"2026-07-05T10:53:56Z","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/2504.17810/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Dynamic videos with small baseline motions are ubiquitous in daily life, especially on social media. However, these videos present a challenge to existing pose estimation frameworks due to ambiguous features, drift accumulation, and insufficient triangulation constraints. Gaussian splatting, which maintains an explicit representation for scenes, provides a reliable novel view rasterization when the viewpoint change is small. Inspired by this, we propose SmallGS, a camera pose estimation framework that is specifically designed for small-baseline videos. SmallGS optimizes sequential camera poses","authors_text":"Joan Lasenby, Yan Zhang, Yuxin Yao, Zhening Huang","cross_cats":["eess.IV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-04-22T18:00:00Z","title":"SmallGS: Gaussian Splatting-based Camera Pose Estimation for Small-Baseline Videos"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.17810","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":"sha256:1dc5014beebc1bf2a456dd8c8f2d8ef54b858ba534b2baa96d35ff73fe9c7325","target":"record","created_at":"2026-07-05T10:53:56Z","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":"6c19d005da490b0305ad068f53302b5109c9043b8d3346c5d10360e6be5c8c86","cross_cats_sorted":["eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-04-22T18:00:00Z","title_canon_sha256":"8d3b5e2dc4ff1a7ca33bd528e72f6410f5b10e9cfe0e2eb922a44029f76cf4e5"},"schema_version":"1.0","source":{"id":"2504.17810","kind":"arxiv","version":1}},"canonical_sha256":"311b9059890ed4cdf5e83f515782f3bb238cd1b12074d389e7ee689229f8d3dd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"311b9059890ed4cdf5e83f515782f3bb238cd1b12074d389e7ee689229f8d3dd","first_computed_at":"2026-07-05T10:53:56.397660Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:53:56.397660Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Zh3HpMdMk1tdWqFhKiObD1AgBBCo8KlzCBMUKeDmF2jzF3XsTwCxn0GAtPI782Xr8tvdzDbgVXCEX0fxi/O2CA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:53:56.398172Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.17810","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1dc5014beebc1bf2a456dd8c8f2d8ef54b858ba534b2baa96d35ff73fe9c7325","sha256:8c8fac25444d85dc4b83f0de74bb4edc80711231150c84ca3f2d0fd314cb5a41"],"state_sha256":"3601198dbfa81b4108c50484620aad72aaaa7f35cb6ecb659cd99150b42af3f6"}