{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:SO7ITJOV4DWZO7FQJWYYHEV6DC","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":"615bb87bb84d262a375ed5f76738fb3ab41f05aead26a09c2ae9b3e0a17e326b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-08-31T21:02:25Z","title_canon_sha256":"fbac6404facc68af4d2fc955832448021a4c6aeb7c4266337155182d1aee38dc"},"schema_version":"1.0","source":{"id":"2309.00133","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2309.00133","created_at":"2026-07-05T06:46:52Z"},{"alias_kind":"arxiv_version","alias_value":"2309.00133v1","created_at":"2026-07-05T06:46:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.00133","created_at":"2026-07-05T06:46:52Z"},{"alias_kind":"pith_short_12","alias_value":"SO7ITJOV4DWZ","created_at":"2026-07-05T06:46:52Z"},{"alias_kind":"pith_short_16","alias_value":"SO7ITJOV4DWZO7FQ","created_at":"2026-07-05T06:46:52Z"},{"alias_kind":"pith_short_8","alias_value":"SO7ITJOV","created_at":"2026-07-05T06:46:52Z"}],"graph_snapshots":[{"event_id":"sha256:507c8a4992f72fb9ddac93097aa270288cffb4d9a31983c670dc1bffe6ecee85","target":"graph","created_at":"2026-07-05T06:46:52Z","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/2309.00133/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The generation of effective latent representations and their subsequent refinement to incorporate precise information is an essential prerequisite for Vision-Language Understanding (VLU) tasks such as Video Question Answering (VQA). However, most existing methods for VLU focus on sparsely sampling or fine-graining the input information (e.g., sampling a sparse set of frames or text tokens), or adding external knowledge. We present a novel \"DRAX: Distraction Removal and Attended Cross-Alignment\" method to rid our cross-modal representations of distractors in the latent space. We do not exclusiv","authors_text":"Ameet Deshpande, Ashwin Kalyan, Atharvan Dogra, Deeksha Varshney, Neeraj Kumar","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-08-31T21:02:25Z","title":"Distraction-free Embeddings for Robust VQA"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.00133","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":"sha256:91db6674a3cd7b5193bdee793ab96fa194cc5bf7378323a518c8ed0dd98547bc","target":"record","created_at":"2026-07-05T06:46:52Z","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":"615bb87bb84d262a375ed5f76738fb3ab41f05aead26a09c2ae9b3e0a17e326b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-08-31T21:02:25Z","title_canon_sha256":"fbac6404facc68af4d2fc955832448021a4c6aeb7c4266337155182d1aee38dc"},"schema_version":"1.0","source":{"id":"2309.00133","kind":"arxiv","version":1}},"canonical_sha256":"93be89a5d5e0ed977cb04db18392be18b0c8de3e676e25bdc3537b4be08bfdf9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"93be89a5d5e0ed977cb04db18392be18b0c8de3e676e25bdc3537b4be08bfdf9","first_computed_at":"2026-07-05T06:46:52.689551Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:46:52.689551Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"4ghkzCihBDIBRyqAyDBUQ6Ccr45DYJS1oXKu+o78gH0aqIusPyADB+FRF97ardqy3MKGYH+yZ9Q2XzvjouhzBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:46:52.690093Z","signed_message":"canonical_sha256_bytes"},"source_id":"2309.00133","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:91db6674a3cd7b5193bdee793ab96fa194cc5bf7378323a518c8ed0dd98547bc","sha256:507c8a4992f72fb9ddac93097aa270288cffb4d9a31983c670dc1bffe6ecee85"],"state_sha256":"edef454fcb6a690c735ba8a727136a66c55cf34508b1e9c4cd735ba8c0f28836"}