{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:W7KJSUVVZSJ4CL323QE4VLF7JW","short_pith_number":"pith:W7KJSUVV","canonical_record":{"source":{"id":"2308.09126","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-08-17T17:59:59Z","cross_cats_sorted":["cs.AI","cs.CL"],"title_canon_sha256":"cb9a65b03d4208f041814ba3bb177d7e37ae50c3caab677bbd97ea5580af0d8d","abstract_canon_sha256":"41bee9e443a498efe0e5d856461e9733daea7649d1f78418b2044c6d44d099ce"},"schema_version":"1.0"},"canonical_sha256":"b7d49952b5cc93c12f7adc09caacbf4d8f33c102a31f52bc24ddf2c604f13b58","source":{"kind":"arxiv","id":"2308.09126","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.09126","created_at":"2026-07-05T06:42:28Z"},{"alias_kind":"arxiv_version","alias_value":"2308.09126v1","created_at":"2026-07-05T06:42:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.09126","created_at":"2026-07-05T06:42:28Z"},{"alias_kind":"pith_short_12","alias_value":"W7KJSUVVZSJ4","created_at":"2026-07-05T06:42:28Z"},{"alias_kind":"pith_short_16","alias_value":"W7KJSUVVZSJ4CL32","created_at":"2026-07-05T06:42:28Z"},{"alias_kind":"pith_short_8","alias_value":"W7KJSUVV","created_at":"2026-07-05T06:42:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:W7KJSUVVZSJ4CL323QE4VLF7JW","target":"record","payload":{"canonical_record":{"source":{"id":"2308.09126","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-08-17T17:59:59Z","cross_cats_sorted":["cs.AI","cs.CL"],"title_canon_sha256":"cb9a65b03d4208f041814ba3bb177d7e37ae50c3caab677bbd97ea5580af0d8d","abstract_canon_sha256":"41bee9e443a498efe0e5d856461e9733daea7649d1f78418b2044c6d44d099ce"},"schema_version":"1.0"},"canonical_sha256":"b7d49952b5cc93c12f7adc09caacbf4d8f33c102a31f52bc24ddf2c604f13b58","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:42:28.061454Z","signature_b64":"+1ZfE3KGZuzol3Rtj4/OJW6SF8/+eZrLhgpQX2sk3qJr9BpZBg/4/dazonFisz0Eu3Cnl47lCVrb9EOenK0LDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b7d49952b5cc93c12f7adc09caacbf4d8f33c102a31f52bc24ddf2c604f13b58","last_reissued_at":"2026-07-05T06:42:28.060981Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:42:28.060981Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2308.09126","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":"2026-07-05T06:42:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GGxnqEZE6siBZXN74N8fwBoEQC0/GOU5yfeUYBnuC8Is3Q3SYND3EZgT9FTW+rd3VqBWncwl9ROlkaGclgcdAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T04:34:34.595098Z"},"content_sha256":"816e38bdc1c8899318bc6d54b6c8da25cf42f5458e128f11f0ddd386bba36aec","schema_version":"1.0","event_id":"sha256:816e38bdc1c8899318bc6d54b6c8da25cf42f5458e128f11f0ddd386bba36aec"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:W7KJSUVVZSJ4CL323QE4VLF7JW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"EgoSchema: A Diagnostic Benchmark for Very Long-form Video Language Understanding","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CL"],"primary_cat":"cs.CV","authors_text":"Jitendra Malik, Karttikeya Mangalam, Raiymbek Akshulakov","submitted_at":"2023-08-17T17:59:59Z","abstract_excerpt":"We introduce EgoSchema, a very long-form video question-answering dataset, and benchmark to evaluate long video understanding capabilities of modern vision and language systems. Derived from Ego4D, EgoSchema consists of over 5000 human curated multiple choice question answer pairs, spanning over 250 hours of real video data, covering a very broad range of natural human activity and behavior. For each question, EgoSchema requires the correct answer to be selected between five given options based on a three-minute-long video clip. While some prior works have proposed video datasets with long cli"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.09126","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/2308.09126/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":"2026-07-05T06:42:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HAeU/b/X5IEMhCbb+AXDhtDQcdlgmHlkcRMoIEyTl2OL/nRUjTCHOw/xH10Ynj+h7l9KgA21kJG+TJjFKTfEAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T04:34:34.596149Z"},"content_sha256":"98d2aa0b3a549c81e4769d850d73d549e768555ad096d8d3bd4ee8b304532ba7","schema_version":"1.0","event_id":"sha256:98d2aa0b3a549c81e4769d850d73d549e768555ad096d8d3bd4ee8b304532ba7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/W7KJSUVVZSJ4CL323QE4VLF7JW/bundle.json","state_url":"https://pith.science/pith/W7KJSUVVZSJ4CL323QE4VLF7JW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/W7KJSUVVZSJ4CL323QE4VLF7JW/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":"2026-08-06T04:34:34Z","links":{"resolver":"https://pith.science/pith/W7KJSUVVZSJ4CL323QE4VLF7JW","bundle":"https://pith.science/pith/W7KJSUVVZSJ4CL323QE4VLF7JW/bundle.json","state":"https://pith.science/pith/W7KJSUVVZSJ4CL323QE4VLF7JW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/W7KJSUVVZSJ4CL323QE4VLF7JW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:W7KJSUVVZSJ4CL323QE4VLF7JW","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":"41bee9e443a498efe0e5d856461e9733daea7649d1f78418b2044c6d44d099ce","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-08-17T17:59:59Z","title_canon_sha256":"cb9a65b03d4208f041814ba3bb177d7e37ae50c3caab677bbd97ea5580af0d8d"},"schema_version":"1.0","source":{"id":"2308.09126","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.09126","created_at":"2026-07-05T06:42:28Z"},{"alias_kind":"arxiv_version","alias_value":"2308.09126v1","created_at":"2026-07-05T06:42:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.09126","created_at":"2026-07-05T06:42:28Z"},{"alias_kind":"pith_short_12","alias_value":"W7KJSUVVZSJ4","created_at":"2026-07-05T06:42:28Z"},{"alias_kind":"pith_short_16","alias_value":"W7KJSUVVZSJ4CL32","created_at":"2026-07-05T06:42:28Z"},{"alias_kind":"pith_short_8","alias_value":"W7KJSUVV","created_at":"2026-07-05T06:42:28Z"}],"graph_snapshots":[{"event_id":"sha256:98d2aa0b3a549c81e4769d850d73d549e768555ad096d8d3bd4ee8b304532ba7","target":"graph","created_at":"2026-07-05T06:42:28Z","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/2308.09126/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We introduce EgoSchema, a very long-form video question-answering dataset, and benchmark to evaluate long video understanding capabilities of modern vision and language systems. Derived from Ego4D, EgoSchema consists of over 5000 human curated multiple choice question answer pairs, spanning over 250 hours of real video data, covering a very broad range of natural human activity and behavior. For each question, EgoSchema requires the correct answer to be selected between five given options based on a three-minute-long video clip. While some prior works have proposed video datasets with long cli","authors_text":"Jitendra Malik, Karttikeya Mangalam, Raiymbek Akshulakov","cross_cats":["cs.AI","cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-08-17T17:59:59Z","title":"EgoSchema: A Diagnostic Benchmark for Very Long-form Video Language Understanding"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.09126","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":"sha256:816e38bdc1c8899318bc6d54b6c8da25cf42f5458e128f11f0ddd386bba36aec","target":"record","created_at":"2026-07-05T06:42:28Z","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":"41bee9e443a498efe0e5d856461e9733daea7649d1f78418b2044c6d44d099ce","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-08-17T17:59:59Z","title_canon_sha256":"cb9a65b03d4208f041814ba3bb177d7e37ae50c3caab677bbd97ea5580af0d8d"},"schema_version":"1.0","source":{"id":"2308.09126","kind":"arxiv","version":1}},"canonical_sha256":"b7d49952b5cc93c12f7adc09caacbf4d8f33c102a31f52bc24ddf2c604f13b58","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b7d49952b5cc93c12f7adc09caacbf4d8f33c102a31f52bc24ddf2c604f13b58","first_computed_at":"2026-07-05T06:42:28.060981Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:42:28.060981Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+1ZfE3KGZuzol3Rtj4/OJW6SF8/+eZrLhgpQX2sk3qJr9BpZBg/4/dazonFisz0Eu3Cnl47lCVrb9EOenK0LDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:42:28.061454Z","signed_message":"canonical_sha256_bytes"},"source_id":"2308.09126","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:816e38bdc1c8899318bc6d54b6c8da25cf42f5458e128f11f0ddd386bba36aec","sha256:98d2aa0b3a549c81e4769d850d73d549e768555ad096d8d3bd4ee8b304532ba7"],"state_sha256":"cb01fad236b2412b2cbcca052d8f4f6976f65b69fb49ac5d34e1046f8741a9f5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JhLUTQsRTTs/pE3KuLSM/vszu1fq1l7ShOOo+uHmfAZ5C83xHl5FdVa4x4MD5kXbiOV3DBLrAGIBDFo6YQ+/Cg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T04:34:34.604314Z","bundle_sha256":"46139f8d554054eb7813a67599a3490221190db2389452233e43a9e2e713ab58"}}