{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:BHSM6EXF7WEISXVNB2Y34YIP44","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":"8eac85cb1cad1200bc2ba25880efdf902ecf1d55fee6d7b85da6454e3c46019d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-12-23T17:29:08Z","title_canon_sha256":"2c60314244a0f78afb20f978c7e4f5328cc5a5a198da24bf42a2e88057a24c33"},"schema_version":"1.0","source":{"id":"2512.20538","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2512.20538","created_at":"2026-05-22T01:04:54Z"},{"alias_kind":"arxiv_version","alias_value":"2512.20538v2","created_at":"2026-05-22T01:04:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2512.20538","created_at":"2026-05-22T01:04:54Z"},{"alias_kind":"pith_short_12","alias_value":"BHSM6EXF7WEI","created_at":"2026-05-22T01:04:54Z"},{"alias_kind":"pith_short_16","alias_value":"BHSM6EXF7WEISXVN","created_at":"2026-05-22T01:04:54Z"},{"alias_kind":"pith_short_8","alias_value":"BHSM6EXF","created_at":"2026-05-22T01:04:54Z"}],"graph_snapshots":[{"event_id":"sha256:8c3acd1a7a6110a5af9c3dc12168795f9e72444aec077a01bc158d263f82713c","target":"graph","created_at":"2026-05-22T01:04:54Z","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/2512.20538/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Single-view RGB model-based object pose estimation methods achieve strong generalization but are fundamentally limited by depth ambiguity, clutter, and occlusions. Multi-view pose estimation methods have the potential to solve these issues, but existing works rely on precise single-view pose estimates or lack generalization to unseen objects. We address these challenges via the following three contributions. First, we introduce AlignPose, a 6D object pose estimation method that aggregates information from multiple extrinsically calibrated RGB views and does not require any object-specific trai","authors_text":"Anna \\v{S}\\'arov\\'a Mike\\v{s}t\\'ikov\\'a, Josef Sivic, Martin C\\'ifka, M\\'ed\\'eric Fourmy, Vladimir Petrik","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-12-23T17:29:08Z","title":"AlignPose: Generalizable 6D Pose Estimation via Multi-view Feature-metric Alignment"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2512.20538","kind":"arxiv","version":2},"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:eaa4da8c3baa6b9b25f9b5cbe63b49d783e57755ddf6aa924ca5f035eb2d7f73","target":"record","created_at":"2026-05-22T01:04:54Z","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":"8eac85cb1cad1200bc2ba25880efdf902ecf1d55fee6d7b85da6454e3c46019d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-12-23T17:29:08Z","title_canon_sha256":"2c60314244a0f78afb20f978c7e4f5328cc5a5a198da24bf42a2e88057a24c33"},"schema_version":"1.0","source":{"id":"2512.20538","kind":"arxiv","version":2}},"canonical_sha256":"09e4cf12e5fd88895ead0eb1be610fe713c696cc5aa3a64c02837bd62e4b3cbe","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"09e4cf12e5fd88895ead0eb1be610fe713c696cc5aa3a64c02837bd62e4b3cbe","first_computed_at":"2026-05-22T01:04:54.372402Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-22T01:04:54.372402Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"KcooMJZNjYnLmenSNarim5UQuI5nfTnNasOenuCH75EwcAg13ANcG1SbawZhhvTCEx3hnac5Xf2ra8Fu/nSFCA==","signature_status":"signed_v1","signed_at":"2026-05-22T01:04:54.373523Z","signed_message":"canonical_sha256_bytes"},"source_id":"2512.20538","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:eaa4da8c3baa6b9b25f9b5cbe63b49d783e57755ddf6aa924ca5f035eb2d7f73","sha256:8c3acd1a7a6110a5af9c3dc12168795f9e72444aec077a01bc158d263f82713c"],"state_sha256":"8a60e2cbd837f5bbaa2b792918b2fbac8d60071c2b647bdd44ee25d56eba8cff"}