{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:6SVT3MZX6UN3QBV4NBRR6NAP2N","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":"08dfd1d9ac5988cb792021d12ad8ac3c741856641d70fae00406f80a435cddc6","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-06-13T20:31:28Z","title_canon_sha256":"3c966625abe6e014fbd0f36c727c934ae01e904a1f9d43b5df499de5e76dc236"},"schema_version":"1.0","source":{"id":"2406.09575","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.09575","created_at":"2026-07-05T08:31:56Z"},{"alias_kind":"arxiv_version","alias_value":"2406.09575v1","created_at":"2026-07-05T08:31:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.09575","created_at":"2026-07-05T08:31:56Z"},{"alias_kind":"pith_short_12","alias_value":"6SVT3MZX6UN3","created_at":"2026-07-05T08:31:56Z"},{"alias_kind":"pith_short_16","alias_value":"6SVT3MZX6UN3QBV4","created_at":"2026-07-05T08:31:56Z"},{"alias_kind":"pith_short_8","alias_value":"6SVT3MZX","created_at":"2026-07-05T08:31:56Z"}],"graph_snapshots":[{"event_id":"sha256:9893937793e1c9a54ad9607f520f99562882d041f41e2bdc82d59cbab7aa269b","target":"graph","created_at":"2026-07-05T08:31:56Z","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/2406.09575/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The goal of the Step Grounding task is to locate temporal boundaries of activities based on natural language descriptions. This technical report introduces a Bayesian-VSLNet to address the challenge of identifying such temporal segments in lengthy, untrimmed egocentric videos. Our model significantly improves upon traditional models by incorporating a novel Bayesian temporal-order prior during inference, enhancing the accuracy of moment predictions. This prior adjusts for cyclic and repetitive actions within videos. Our evaluations demonstrate superior performance over existing methods, achiev","authors_text":"Ana C.Murillo, Carlos Plou, Lorenzo Mur-Labadia, Ruben Martinez-Cantin","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-06-13T20:31:28Z","title":"CARLOR @ Ego4D Step Grounding Challenge: Bayesian temporal-order priors for test time refinement"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.09575","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":"sha256:8ff7c2dda026e4c68e9c8c360e42a3e3009699771c260d31c422ecd539a8414b","target":"record","created_at":"2026-07-05T08:31:56Z","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":"08dfd1d9ac5988cb792021d12ad8ac3c741856641d70fae00406f80a435cddc6","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-06-13T20:31:28Z","title_canon_sha256":"3c966625abe6e014fbd0f36c727c934ae01e904a1f9d43b5df499de5e76dc236"},"schema_version":"1.0","source":{"id":"2406.09575","kind":"arxiv","version":1}},"canonical_sha256":"f4ab3db337f51bb806bc68631f340fd34ce2fa83be7a0039d054e08850f3e8a8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f4ab3db337f51bb806bc68631f340fd34ce2fa83be7a0039d054e08850f3e8a8","first_computed_at":"2026-07-05T08:31:56.095947Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:31:56.095947Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"3Zr6jJTwSHBbcwFV2GHxXstPgMw+FKu8TkgHE0uvNAk56EEE1Cb3GyY7QUZpmwTqXnYhusZvkJ6pU1oGmYrqDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:31:56.096470Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.09575","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8ff7c2dda026e4c68e9c8c360e42a3e3009699771c260d31c422ecd539a8414b","sha256:9893937793e1c9a54ad9607f520f99562882d041f41e2bdc82d59cbab7aa269b"],"state_sha256":"83de36d5b764b4b6b8c9a6cb1f5d978ab8824955a3a79c57eb5bffb02f4cd224"}