{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:TWW6AUWTV6F7FG5WONYSD4MZ5F","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":"02ea099064fde002a4e11b80e61e9beb0e74a4e32fac7bf3fb6739a81a62025e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-12-19T06:42:47Z","title_canon_sha256":"95e3382a7c6d27832666f28cb855e22c4900e18b4abed5721c9729c10664d69d"},"schema_version":"1.0","source":{"id":"2312.11897","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.11897","created_at":"2026-07-05T08:56:16Z"},{"alias_kind":"arxiv_version","alias_value":"2312.11897v3","created_at":"2026-07-05T08:56:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.11897","created_at":"2026-07-05T08:56:16Z"},{"alias_kind":"pith_short_12","alias_value":"TWW6AUWTV6F7","created_at":"2026-07-05T08:56:16Z"},{"alias_kind":"pith_short_16","alias_value":"TWW6AUWTV6F7FG5W","created_at":"2026-07-05T08:56:16Z"},{"alias_kind":"pith_short_8","alias_value":"TWW6AUWT","created_at":"2026-07-05T08:56:16Z"}],"graph_snapshots":[{"event_id":"sha256:012fbcbf421e9704e887548033047a1b0bed9c16beb3757c6f4e9efb49f66880","target":"graph","created_at":"2026-07-05T08:56:16Z","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/2312.11897/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper we present a text-conditioned video resampler (TCR) module that uses a pre-trained and frozen visual encoder and large language model (LLM) to process long video sequences for a task. TCR localises relevant visual features from the video given a text condition and provides them to a LLM to generate a text response. Due to its lightweight design and use of cross-attention, TCR can process more than 100 frames at a time with plain attention and without optimised implementations. We make the following contributions: (i) we design a transformer-based sampling architecture that can pr","authors_text":"Alessio Tonioni, Andrew Zisserman, Bruno Korbar, Federico Tombari, Yongqin Xian","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-12-19T06:42:47Z","title":"Text-Conditioned Resampler For Long Form Video Understanding"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.11897","kind":"arxiv","version":3},"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":"sha256:9bb7937462deea41dd602c8965d33cd0919d499de25622b65563ac57d9d3d314","target":"record","created_at":"2026-07-05T08:56:16Z","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":"02ea099064fde002a4e11b80e61e9beb0e74a4e32fac7bf3fb6739a81a62025e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-12-19T06:42:47Z","title_canon_sha256":"95e3382a7c6d27832666f28cb855e22c4900e18b4abed5721c9729c10664d69d"},"schema_version":"1.0","source":{"id":"2312.11897","kind":"arxiv","version":3}},"canonical_sha256":"9dade052d3af8bf29bb6737121f199e96c52ff2770a1aab1d5b1c659081f8fb0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9dade052d3af8bf29bb6737121f199e96c52ff2770a1aab1d5b1c659081f8fb0","first_computed_at":"2026-07-05T08:56:16.042977Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:56:16.042977Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"E2Wk4FKzVwOLBGrYneBfga+UEGGTz1dXcl8SxEyrPWRaP9SHbksiQ1j9qjIITQbpQtf/BuuMS3tkgIeSx7yqBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:56:16.043329Z","signed_message":"canonical_sha256_bytes"},"source_id":"2312.11897","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9bb7937462deea41dd602c8965d33cd0919d499de25622b65563ac57d9d3d314","sha256:012fbcbf421e9704e887548033047a1b0bed9c16beb3757c6f4e9efb49f66880"],"state_sha256":"853b8181057912793b0462d59c22a230c7a0c57bb8bc7a6eca2c4c5fd2cfd8fb"}