{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:RF2SVPATW24KUIRH2P4WJCGD7Y","short_pith_number":"pith:RF2SVPAT","canonical_record":{"source":{"id":"2411.05222","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-07T22:32:12Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"32b5f2db31ee721c48bc4df96ee46e692b5c3a72d89aa8b4507ad52bf5219cc5","abstract_canon_sha256":"2e9461aa17646fa615de777c4c7819313b8a419d51191ffa382cdf95819ea936"},"schema_version":"1.0"},"canonical_sha256":"89752abc13b6b8aa2227d3f96488c3fe21f5ecbec864a9538ddbd961b7f00bfd","source":{"kind":"arxiv","id":"2411.05222","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.05222","created_at":"2026-07-05T09:32:56Z"},{"alias_kind":"arxiv_version","alias_value":"2411.05222v1","created_at":"2026-07-05T09:32:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.05222","created_at":"2026-07-05T09:32:56Z"},{"alias_kind":"pith_short_12","alias_value":"RF2SVPATW24K","created_at":"2026-07-05T09:32:56Z"},{"alias_kind":"pith_short_16","alias_value":"RF2SVPATW24KUIRH","created_at":"2026-07-05T09:32:56Z"},{"alias_kind":"pith_short_8","alias_value":"RF2SVPAT","created_at":"2026-07-05T09:32:56Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:RF2SVPATW24KUIRH2P4WJCGD7Y","target":"record","payload":{"canonical_record":{"source":{"id":"2411.05222","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-07T22:32:12Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"32b5f2db31ee721c48bc4df96ee46e692b5c3a72d89aa8b4507ad52bf5219cc5","abstract_canon_sha256":"2e9461aa17646fa615de777c4c7819313b8a419d51191ffa382cdf95819ea936"},"schema_version":"1.0"},"canonical_sha256":"89752abc13b6b8aa2227d3f96488c3fe21f5ecbec864a9538ddbd961b7f00bfd","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:32:56.300449Z","signature_b64":"V9Zuk41me/z2UOY/7x+y7F8y6KGOlzivvQHBQs9/N579cVcTn0t3OphhJYYERsmHP+lN9dqqK8YEBeYLiApqCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"89752abc13b6b8aa2227d3f96488c3fe21f5ecbec864a9538ddbd961b7f00bfd","last_reissued_at":"2026-07-05T09:32:56.299968Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:32:56.299968Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2411.05222","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:32:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MSUuBYaYtSOYp/6jpxsrt9jFfLTLnPqRywFQD4jhvgsJhKjOR6JMF+w1J0pUkv4Km88EEPB2DaaIh3kIe80FCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-10T09:44:37.617980Z"},"content_sha256":"5d73f1f00586a2881b8e458806252c80f8d3610a39626aaea20be64c6490d6c5","schema_version":"1.0","event_id":"sha256:5d73f1f00586a2881b8e458806252c80f8d3610a39626aaea20be64c6490d6c5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:RF2SVPATW24KUIRH2P4WJCGD7Y","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Don't Look Twice: Faster Video Transformers with Run-Length Tokenization","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Guanglei Zhu, Koichiro Niinuma, Kris M. Kitani, L\\'aszl\\'o Jeni, Rohan Choudhury, Sihan Liu","submitted_at":"2024-11-07T22:32:12Z","abstract_excerpt":"Transformers are slow to train on videos due to extremely large numbers of input tokens, even though many video tokens are repeated over time. Existing methods to remove such uninformative tokens either have significant overhead, negating any speedup, or require tuning for different datasets and examples. We present Run-Length Tokenization (RLT), a simple approach to speed up video transformers inspired by run-length encoding for data compression. RLT efficiently finds and removes runs of patches that are repeated over time prior to model inference, then replaces them with a single patch and a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.05222","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2411.05222/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:32:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"I0csAy8UssiYhwTHfaMnsBPlDep1I3IMpRw964YiFTxcB2sfhd9OtigozsKxuVxh5V6g999WAbbxUEt5BDQnAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-10T09:44:37.618365Z"},"content_sha256":"2fbbbb7462c7b2d6cb1eda0f017c67ef07f82859dbe91aee045aff5bc115d11f","schema_version":"1.0","event_id":"sha256:2fbbbb7462c7b2d6cb1eda0f017c67ef07f82859dbe91aee045aff5bc115d11f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RF2SVPATW24KUIRH2P4WJCGD7Y/bundle.json","state_url":"https://pith.science/pith/RF2SVPATW24KUIRH2P4WJCGD7Y/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RF2SVPATW24KUIRH2P4WJCGD7Y/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-07-10T09:44:37Z","links":{"resolver":"https://pith.science/pith/RF2SVPATW24KUIRH2P4WJCGD7Y","bundle":"https://pith.science/pith/RF2SVPATW24KUIRH2P4WJCGD7Y/bundle.json","state":"https://pith.science/pith/RF2SVPATW24KUIRH2P4WJCGD7Y/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RF2SVPATW24KUIRH2P4WJCGD7Y/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:RF2SVPATW24KUIRH2P4WJCGD7Y","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":"2e9461aa17646fa615de777c4c7819313b8a419d51191ffa382cdf95819ea936","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-07T22:32:12Z","title_canon_sha256":"32b5f2db31ee721c48bc4df96ee46e692b5c3a72d89aa8b4507ad52bf5219cc5"},"schema_version":"1.0","source":{"id":"2411.05222","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.05222","created_at":"2026-07-05T09:32:56Z"},{"alias_kind":"arxiv_version","alias_value":"2411.05222v1","created_at":"2026-07-05T09:32:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.05222","created_at":"2026-07-05T09:32:56Z"},{"alias_kind":"pith_short_12","alias_value":"RF2SVPATW24K","created_at":"2026-07-05T09:32:56Z"},{"alias_kind":"pith_short_16","alias_value":"RF2SVPATW24KUIRH","created_at":"2026-07-05T09:32:56Z"},{"alias_kind":"pith_short_8","alias_value":"RF2SVPAT","created_at":"2026-07-05T09:32:56Z"}],"graph_snapshots":[{"event_id":"sha256:2fbbbb7462c7b2d6cb1eda0f017c67ef07f82859dbe91aee045aff5bc115d11f","target":"graph","created_at":"2026-07-05T09:32:56Z","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/2411.05222/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Transformers are slow to train on videos due to extremely large numbers of input tokens, even though many video tokens are repeated over time. Existing methods to remove such uninformative tokens either have significant overhead, negating any speedup, or require tuning for different datasets and examples. We present Run-Length Tokenization (RLT), a simple approach to speed up video transformers inspired by run-length encoding for data compression. RLT efficiently finds and removes runs of patches that are repeated over time prior to model inference, then replaces them with a single patch and a","authors_text":"Guanglei Zhu, Koichiro Niinuma, Kris M. Kitani, L\\'aszl\\'o Jeni, Rohan Choudhury, Sihan Liu","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-07T22:32:12Z","title":"Don't Look Twice: Faster Video Transformers with Run-Length Tokenization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.05222","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":"sha256:5d73f1f00586a2881b8e458806252c80f8d3610a39626aaea20be64c6490d6c5","target":"record","created_at":"2026-07-05T09:32:56Z","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":"2e9461aa17646fa615de777c4c7819313b8a419d51191ffa382cdf95819ea936","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-07T22:32:12Z","title_canon_sha256":"32b5f2db31ee721c48bc4df96ee46e692b5c3a72d89aa8b4507ad52bf5219cc5"},"schema_version":"1.0","source":{"id":"2411.05222","kind":"arxiv","version":1}},"canonical_sha256":"89752abc13b6b8aa2227d3f96488c3fe21f5ecbec864a9538ddbd961b7f00bfd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"89752abc13b6b8aa2227d3f96488c3fe21f5ecbec864a9538ddbd961b7f00bfd","first_computed_at":"2026-07-05T09:32:56.299968Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:32:56.299968Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"V9Zuk41me/z2UOY/7x+y7F8y6KGOlzivvQHBQs9/N579cVcTn0t3OphhJYYERsmHP+lN9dqqK8YEBeYLiApqCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:32:56.300449Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.05222","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5d73f1f00586a2881b8e458806252c80f8d3610a39626aaea20be64c6490d6c5","sha256:2fbbbb7462c7b2d6cb1eda0f017c67ef07f82859dbe91aee045aff5bc115d11f"],"state_sha256":"9ff7a6ad895f79178162e310f8b5eb9bbe96cbb1aec3d8c0892b9834df61b8b4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"J0iQNdluNgXj7bZtItEOhQZJEBlt5bn0cx7IHZhAHNd63SYDU8erBQ/fH9YblFdocIO8Mmlvy3DPD3loLJ6yAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-10T09:44:37.620238Z","bundle_sha256":"9ab442aea33c6efa950d28317398ea3aba195940540d75839cce6ae163d29577"}}