{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:L3WCHMTMBQAGMQZGJLHMBCRWOI","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":"338b23eb2cd04a6f05c4a641414f2f18ca2a14b41279c7dea7ecf1c7283108b5","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-01-24T16:24:15Z","title_canon_sha256":"8a3071381f729804700bbec1692a88681e1b096aa7e4b033e90d32038ca79fc0"},"schema_version":"1.0","source":{"id":"2501.14607","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.14607","created_at":"2026-07-05T11:29:05Z"},{"alias_kind":"arxiv_version","alias_value":"2501.14607v2","created_at":"2026-07-05T11:29:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.14607","created_at":"2026-07-05T11:29:05Z"},{"alias_kind":"pith_short_12","alias_value":"L3WCHMTMBQAG","created_at":"2026-07-05T11:29:05Z"},{"alias_kind":"pith_short_16","alias_value":"L3WCHMTMBQAGMQZG","created_at":"2026-07-05T11:29:05Z"},{"alias_kind":"pith_short_8","alias_value":"L3WCHMTM","created_at":"2026-07-05T11:29:05Z"}],"graph_snapshots":[{"event_id":"sha256:295f71b63e717731b08255364e3c4688e57a103c24c254b87148c6e62b698d46","target":"graph","created_at":"2026-07-05T11:29:05Z","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/2501.14607/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Referring video object segmentation (RVOS) aims to segment target objects throughout a video based on a text description. This is challenging as it involves deep vision-language understanding, pixel-level dense prediction and spatiotemporal reasoning. Despite notable progress in recent years, existing methods still exhibit a noticeable gap when considering all these aspects. In this work, we propose \\textbf{ReferDINO}, a strong RVOS model that inherits region-level vision-language alignment from foundational visual grounding models, and is further endowed with pixel-level dense perception and ","authors_text":"Chaolei Tan, Jian-Fang Hu, Jianguo Zhang, Kun-Yu Lin, Tianming Liang, Wei-Shi Zheng","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-01-24T16:24:15Z","title":"ReferDINO: Referring Video Object Segmentation with Visual Grounding Foundations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.14607","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":"sha256:6e0820ba6108dfe3531526b6d25d1a37fe9b34efcf940728f6171fca5ca78ad7","target":"record","created_at":"2026-07-05T11:29:05Z","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":"338b23eb2cd04a6f05c4a641414f2f18ca2a14b41279c7dea7ecf1c7283108b5","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-01-24T16:24:15Z","title_canon_sha256":"8a3071381f729804700bbec1692a88681e1b096aa7e4b033e90d32038ca79fc0"},"schema_version":"1.0","source":{"id":"2501.14607","kind":"arxiv","version":2}},"canonical_sha256":"5eec23b26c0c006643264acec08a36721a319ff9897011d0c0ae97b029054ebb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5eec23b26c0c006643264acec08a36721a319ff9897011d0c0ae97b029054ebb","first_computed_at":"2026-07-05T11:29:05.952093Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:29:05.952093Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"DwPD7I0Yg65A2AD5Dx+3yka+XIytYOtCAW0b33PWRgJqozMFwRGNsfEaKwe6E4XsFChTJdVUfBpk4uEiLYKGBg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:29:05.952574Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.14607","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6e0820ba6108dfe3531526b6d25d1a37fe9b34efcf940728f6171fca5ca78ad7","sha256:295f71b63e717731b08255364e3c4688e57a103c24c254b87148c6e62b698d46"],"state_sha256":"d2e0f6e303f99ecf9d93e347b303de0ac0e9df2244ba88ca20ddcd912385570a"}