{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:7WJYKAXCF4PDZOKC44FIULNNYN","short_pith_number":"pith:7WJYKAXC","canonical_record":{"source":{"id":"2505.03173","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-06T04:38:09Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"422eb89e7438d523079f0c03037da156bc6af5597d58291b5a86c0bffc3370f3","abstract_canon_sha256":"d499e39801a014f42c05d634f78e713c16ecb5c83ae8289527937e24548691d6"},"schema_version":"1.0"},"canonical_sha256":"fd938502e22f1e3cb942e70a8a2dadc376fdd069cf736ec31bf2ebe0e5ec95b5","source":{"kind":"arxiv","id":"2505.03173","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.03173","created_at":"2026-07-05T10:59:11Z"},{"alias_kind":"arxiv_version","alias_value":"2505.03173v1","created_at":"2026-07-05T10:59:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.03173","created_at":"2026-07-05T10:59:11Z"},{"alias_kind":"pith_short_12","alias_value":"7WJYKAXCF4PD","created_at":"2026-07-05T10:59:11Z"},{"alias_kind":"pith_short_16","alias_value":"7WJYKAXCF4PDZOKC","created_at":"2026-07-05T10:59:11Z"},{"alias_kind":"pith_short_8","alias_value":"7WJYKAXC","created_at":"2026-07-05T10:59:11Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:7WJYKAXCF4PDZOKC44FIULNNYN","target":"record","payload":{"canonical_record":{"source":{"id":"2505.03173","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-06T04:38:09Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"422eb89e7438d523079f0c03037da156bc6af5597d58291b5a86c0bffc3370f3","abstract_canon_sha256":"d499e39801a014f42c05d634f78e713c16ecb5c83ae8289527937e24548691d6"},"schema_version":"1.0"},"canonical_sha256":"fd938502e22f1e3cb942e70a8a2dadc376fdd069cf736ec31bf2ebe0e5ec95b5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:59:11.453158Z","signature_b64":"SaG3kh9K748VN0cTF+n7e3MRcOsWHpTZdM6UMwzU6/hLXs8In50nChENVPu8Dd6W4hUFXNqfwDaOfuEdQ8euCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fd938502e22f1e3cb942e70a8a2dadc376fdd069cf736ec31bf2ebe0e5ec95b5","last_reissued_at":"2026-07-05T10:59:11.452693Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:59:11.452693Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.03173","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":"2026-07-05T10:59:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SowGpu3dayUqyAoMRhanYBucA/mMnA6PmoD9s+Hv0NAv+LxBuBKZzlyaadRBAs+N+1yjazxV4tSK/0VjFPtGCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T13:20:06.713434Z"},"content_sha256":"fb534814958a7e6f83a98242b24759f10fa82ebac3c246f05b105e7b7edfc512","schema_version":"1.0","event_id":"sha256:fb534814958a7e6f83a98242b24759f10fa82ebac3c246f05b105e7b7edfc512"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:7WJYKAXCF4PDZOKC44FIULNNYN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"RAVU: Retrieval Augmented Video Understanding with Compositional Reasoning over Graph","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Ayush Singh, Dishank Aggarwal, Moyuru Yamada, Sameer Malik","submitted_at":"2025-05-06T04:38:09Z","abstract_excerpt":"Comprehending long videos remains a significant challenge for Large Multi-modal Models (LMMs). Current LMMs struggle to process even minutes to hours videos due to their lack of explicit memory and retrieval mechanisms. To address this limitation, we propose RAVU (Retrieval Augmented Video Understanding), a novel framework for video understanding enhanced by retrieval with compositional reasoning over a spatio-temporal graph. We construct a graph representation of the video, capturing both spatial and temporal relationships between entities. This graph serves as a long-term memory, allowing us"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.03173","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/2505.03173/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":"2026-07-05T10:59:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mw3tmRlUH0LArvX06iyB2AhdFsgnO1fe/ALkYSd+MPyrwXusppRhcJgds8J7g0UYew6w+tcJ92Y1h0zcHYjpCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T13:20:06.713961Z"},"content_sha256":"b9deff628638008341b674a0b7dc9dd461a44726f551bc416fe35f394245a021","schema_version":"1.0","event_id":"sha256:b9deff628638008341b674a0b7dc9dd461a44726f551bc416fe35f394245a021"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7WJYKAXCF4PDZOKC44FIULNNYN/bundle.json","state_url":"https://pith.science/pith/7WJYKAXCF4PDZOKC44FIULNNYN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7WJYKAXCF4PDZOKC44FIULNNYN/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":"2026-08-07T13:20:06Z","links":{"resolver":"https://pith.science/pith/7WJYKAXCF4PDZOKC44FIULNNYN","bundle":"https://pith.science/pith/7WJYKAXCF4PDZOKC44FIULNNYN/bundle.json","state":"https://pith.science/pith/7WJYKAXCF4PDZOKC44FIULNNYN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7WJYKAXCF4PDZOKC44FIULNNYN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:7WJYKAXCF4PDZOKC44FIULNNYN","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":"d499e39801a014f42c05d634f78e713c16ecb5c83ae8289527937e24548691d6","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-06T04:38:09Z","title_canon_sha256":"422eb89e7438d523079f0c03037da156bc6af5597d58291b5a86c0bffc3370f3"},"schema_version":"1.0","source":{"id":"2505.03173","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.03173","created_at":"2026-07-05T10:59:11Z"},{"alias_kind":"arxiv_version","alias_value":"2505.03173v1","created_at":"2026-07-05T10:59:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.03173","created_at":"2026-07-05T10:59:11Z"},{"alias_kind":"pith_short_12","alias_value":"7WJYKAXCF4PD","created_at":"2026-07-05T10:59:11Z"},{"alias_kind":"pith_short_16","alias_value":"7WJYKAXCF4PDZOKC","created_at":"2026-07-05T10:59:11Z"},{"alias_kind":"pith_short_8","alias_value":"7WJYKAXC","created_at":"2026-07-05T10:59:11Z"}],"graph_snapshots":[{"event_id":"sha256:b9deff628638008341b674a0b7dc9dd461a44726f551bc416fe35f394245a021","target":"graph","created_at":"2026-07-05T10:59:11Z","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/2505.03173/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Comprehending long videos remains a significant challenge for Large Multi-modal Models (LMMs). Current LMMs struggle to process even minutes to hours videos due to their lack of explicit memory and retrieval mechanisms. To address this limitation, we propose RAVU (Retrieval Augmented Video Understanding), a novel framework for video understanding enhanced by retrieval with compositional reasoning over a spatio-temporal graph. We construct a graph representation of the video, capturing both spatial and temporal relationships between entities. This graph serves as a long-term memory, allowing us","authors_text":"Ayush Singh, Dishank Aggarwal, Moyuru Yamada, Sameer Malik","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-06T04:38:09Z","title":"RAVU: Retrieval Augmented Video Understanding with Compositional Reasoning over Graph"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.03173","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:fb534814958a7e6f83a98242b24759f10fa82ebac3c246f05b105e7b7edfc512","target":"record","created_at":"2026-07-05T10:59:11Z","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":"d499e39801a014f42c05d634f78e713c16ecb5c83ae8289527937e24548691d6","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-06T04:38:09Z","title_canon_sha256":"422eb89e7438d523079f0c03037da156bc6af5597d58291b5a86c0bffc3370f3"},"schema_version":"1.0","source":{"id":"2505.03173","kind":"arxiv","version":1}},"canonical_sha256":"fd938502e22f1e3cb942e70a8a2dadc376fdd069cf736ec31bf2ebe0e5ec95b5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fd938502e22f1e3cb942e70a8a2dadc376fdd069cf736ec31bf2ebe0e5ec95b5","first_computed_at":"2026-07-05T10:59:11.452693Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:59:11.452693Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"SaG3kh9K748VN0cTF+n7e3MRcOsWHpTZdM6UMwzU6/hLXs8In50nChENVPu8Dd6W4hUFXNqfwDaOfuEdQ8euCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:59:11.453158Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.03173","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fb534814958a7e6f83a98242b24759f10fa82ebac3c246f05b105e7b7edfc512","sha256:b9deff628638008341b674a0b7dc9dd461a44726f551bc416fe35f394245a021"],"state_sha256":"4dd3a3d4ae1f136abec895124df212451d5216bdd48128c84a1a65f6651f1529"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IqJuwEWEOyCegdu58NIObI1bKAV61uDH+JPGKRU5/tVRgLBgrnhVOQS8S4InxbDL+BjoupxoM5zFkNGknZ0kDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T13:20:06.718934Z","bundle_sha256":"f6d75663f6f204fd9f1a2babe0b5e57606c0b4176d7be1ab9ff85c51440e2ddc"}}