{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:DI53RCFJ3D6JGSL5QPPVVQUA4R","short_pith_number":"pith:DI53RCFJ","canonical_record":{"source":{"id":"2411.09105","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-14T00:26:26Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"ecc5cd264774a8fcc1b93e4d8d9bec9612b9368d9bb04af6e7b83403f92c6b70","abstract_canon_sha256":"43812e0cca168b2a2c1a8a3a5d208464861e0419cd615bcd4f4be19036e1958b"},"schema_version":"1.0"},"canonical_sha256":"1a3bb888a9d8fc93497d83df5ac280e46caa6c5911095a4316cc73f2279eb688","source":{"kind":"arxiv","id":"2411.09105","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.09105","created_at":"2026-07-05T11:29:52Z"},{"alias_kind":"arxiv_version","alias_value":"2411.09105v2","created_at":"2026-07-05T11:29:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.09105","created_at":"2026-07-05T11:29:52Z"},{"alias_kind":"pith_short_12","alias_value":"DI53RCFJ3D6J","created_at":"2026-07-05T11:29:52Z"},{"alias_kind":"pith_short_16","alias_value":"DI53RCFJ3D6JGSL5","created_at":"2026-07-05T11:29:52Z"},{"alias_kind":"pith_short_8","alias_value":"DI53RCFJ","created_at":"2026-07-05T11:29:52Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:DI53RCFJ3D6JGSL5QPPVVQUA4R","target":"record","payload":{"canonical_record":{"source":{"id":"2411.09105","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-14T00:26:26Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"ecc5cd264774a8fcc1b93e4d8d9bec9612b9368d9bb04af6e7b83403f92c6b70","abstract_canon_sha256":"43812e0cca168b2a2c1a8a3a5d208464861e0419cd615bcd4f4be19036e1958b"},"schema_version":"1.0"},"canonical_sha256":"1a3bb888a9d8fc93497d83df5ac280e46caa6c5911095a4316cc73f2279eb688","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:29:52.149283Z","signature_b64":"jir75pYvK87dpbH3rVS6Jr3Xe1IGEPyErVGuDDB5iuoDO4RrcTDlZSrtUalEA13nmtjSTtDeA9LINRjwmRGVDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1a3bb888a9d8fc93497d83df5ac280e46caa6c5911095a4316cc73f2279eb688","last_reissued_at":"2026-07-05T11:29:52.148803Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:29:52.148803Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2411.09105","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:29:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ji4ZmYZpve6cXnGvn3j5hkiSHja8U5dSy3Hcy/FY7mHHMmoNzBE+hrjj4l2pNsUzb3iE4UBJSoQZzb85PpUDDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T12:07:18.145029Z"},"content_sha256":"ac781ccf51576759d24e0d710c24a2e52db43fdb25fd37d1892ff3eee83fbc1a","schema_version":"1.0","event_id":"sha256:ac781ccf51576759d24e0d710c24a2e52db43fdb25fd37d1892ff3eee83fbc1a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:DI53RCFJ3D6JGSL5QPPVVQUA4R","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"VideoCogQA: A Controllable Benchmark for Evaluating Cognitive Abilities in Video-Language Models","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Chenglin Li, Feng Tao, Qianglong Chen, Yin Zhang, Zhi Li","submitted_at":"2024-11-14T00:26:26Z","abstract_excerpt":"Recent advancements in Large Video-Language Models (LVLMs) have led to promising results in multimodal video understanding. However, it remains unclear whether these models possess the cognitive capabilities required for high-level tasks, particularly those involving symbolic and abstract perception. Existing benchmarks typically rely on real-world, annotated videos, which lack control over video content and inherent difficulty, limiting their diagnostic power. To bridge this gap, we propose VideoCogQA, a scalable and fully controllable benchmark inspired by game-world environments, designed t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.09105","kind":"arxiv","version":2},"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/2411.09105/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":"2026-07-05T11:29:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CdjiJOp2AqWChjyjXCLhaYHBVMRuieLDJgYXqxAD85alHlh4/9ve+CvKosvcTZUEA/vW3VTGvU1OeKiQdP1NCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T12:07:18.145824Z"},"content_sha256":"e709475d5faf7940a7a5313441fe0f3da1e066cc587ebd9f1b637b5fb701511a","schema_version":"1.0","event_id":"sha256:e709475d5faf7940a7a5313441fe0f3da1e066cc587ebd9f1b637b5fb701511a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DI53RCFJ3D6JGSL5QPPVVQUA4R/bundle.json","state_url":"https://pith.science/pith/DI53RCFJ3D6JGSL5QPPVVQUA4R/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DI53RCFJ3D6JGSL5QPPVVQUA4R/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":"2026-08-09T12:07:18Z","links":{"resolver":"https://pith.science/pith/DI53RCFJ3D6JGSL5QPPVVQUA4R","bundle":"https://pith.science/pith/DI53RCFJ3D6JGSL5QPPVVQUA4R/bundle.json","state":"https://pith.science/pith/DI53RCFJ3D6JGSL5QPPVVQUA4R/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DI53RCFJ3D6JGSL5QPPVVQUA4R/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:DI53RCFJ3D6JGSL5QPPVVQUA4R","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":"43812e0cca168b2a2c1a8a3a5d208464861e0419cd615bcd4f4be19036e1958b","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-14T00:26:26Z","title_canon_sha256":"ecc5cd264774a8fcc1b93e4d8d9bec9612b9368d9bb04af6e7b83403f92c6b70"},"schema_version":"1.0","source":{"id":"2411.09105","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.09105","created_at":"2026-07-05T11:29:52Z"},{"alias_kind":"arxiv_version","alias_value":"2411.09105v2","created_at":"2026-07-05T11:29:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.09105","created_at":"2026-07-05T11:29:52Z"},{"alias_kind":"pith_short_12","alias_value":"DI53RCFJ3D6J","created_at":"2026-07-05T11:29:52Z"},{"alias_kind":"pith_short_16","alias_value":"DI53RCFJ3D6JGSL5","created_at":"2026-07-05T11:29:52Z"},{"alias_kind":"pith_short_8","alias_value":"DI53RCFJ","created_at":"2026-07-05T11:29:52Z"}],"graph_snapshots":[{"event_id":"sha256:e709475d5faf7940a7a5313441fe0f3da1e066cc587ebd9f1b637b5fb701511a","target":"graph","created_at":"2026-07-05T11:29:52Z","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/2411.09105/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent advancements in Large Video-Language Models (LVLMs) have led to promising results in multimodal video understanding. However, it remains unclear whether these models possess the cognitive capabilities required for high-level tasks, particularly those involving symbolic and abstract perception. Existing benchmarks typically rely on real-world, annotated videos, which lack control over video content and inherent difficulty, limiting their diagnostic power. To bridge this gap, we propose VideoCogQA, a scalable and fully controllable benchmark inspired by game-world environments, designed t","authors_text":"Chenglin Li, Feng Tao, Qianglong Chen, Yin Zhang, Zhi Li","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-14T00:26:26Z","title":"VideoCogQA: A Controllable Benchmark for Evaluating Cognitive Abilities in Video-Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.09105","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:ac781ccf51576759d24e0d710c24a2e52db43fdb25fd37d1892ff3eee83fbc1a","target":"record","created_at":"2026-07-05T11:29:52Z","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":"43812e0cca168b2a2c1a8a3a5d208464861e0419cd615bcd4f4be19036e1958b","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-14T00:26:26Z","title_canon_sha256":"ecc5cd264774a8fcc1b93e4d8d9bec9612b9368d9bb04af6e7b83403f92c6b70"},"schema_version":"1.0","source":{"id":"2411.09105","kind":"arxiv","version":2}},"canonical_sha256":"1a3bb888a9d8fc93497d83df5ac280e46caa6c5911095a4316cc73f2279eb688","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1a3bb888a9d8fc93497d83df5ac280e46caa6c5911095a4316cc73f2279eb688","first_computed_at":"2026-07-05T11:29:52.148803Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:29:52.148803Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jir75pYvK87dpbH3rVS6Jr3Xe1IGEPyErVGuDDB5iuoDO4RrcTDlZSrtUalEA13nmtjSTtDeA9LINRjwmRGVDg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:29:52.149283Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.09105","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ac781ccf51576759d24e0d710c24a2e52db43fdb25fd37d1892ff3eee83fbc1a","sha256:e709475d5faf7940a7a5313441fe0f3da1e066cc587ebd9f1b637b5fb701511a"],"state_sha256":"a567b7ba25202b23c53222e61c656fdf32483f2ede9efed3bcd47d27196df777"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aQRXh9T4sk9uCZLkTbVQmEC20tx+sbQTbOPNvpCjndoesVr/6WWW15uV26zqmRAOsl6ukxB5XMO0fmt6Bt7sDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T12:07:18.151811Z","bundle_sha256":"b31ca0e8fce8bdccd2a36cb3e53f1cff26b20f1200e623e3b0cda094af061963"}}