{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:5BFESIVRYLOKSEYAEZSV5RQTN3","short_pith_number":"pith:5BFESIVR","canonical_record":{"source":{"id":"2605.21931","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-21T03:00:35Z","cross_cats_sorted":[],"title_canon_sha256":"649f2bbcf5c2f85c258eb3c849b3b4f5b3f9de19b1866502fe0bb14083f50937","abstract_canon_sha256":"f98a621c5a80880dba20d5f4b3011e74e48ca79805ff4da53f44a9efe00d5a1b"},"schema_version":"1.0"},"canonical_sha256":"e84a4922b1c2dca9130026655ec6136ed739e1ef7aab2ee0c364bfaf52a25c5b","source":{"kind":"arxiv","id":"2605.21931","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.21931","created_at":"2026-05-22T01:04:15Z"},{"alias_kind":"arxiv_version","alias_value":"2605.21931v1","created_at":"2026-05-22T01:04:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.21931","created_at":"2026-05-22T01:04:15Z"},{"alias_kind":"pith_short_12","alias_value":"5BFESIVRYLOK","created_at":"2026-05-22T01:04:15Z"},{"alias_kind":"pith_short_16","alias_value":"5BFESIVRYLOKSEYA","created_at":"2026-05-22T01:04:15Z"},{"alias_kind":"pith_short_8","alias_value":"5BFESIVR","created_at":"2026-05-22T01:04:15Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:5BFESIVRYLOKSEYAEZSV5RQTN3","target":"record","payload":{"canonical_record":{"source":{"id":"2605.21931","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-21T03:00:35Z","cross_cats_sorted":[],"title_canon_sha256":"649f2bbcf5c2f85c258eb3c849b3b4f5b3f9de19b1866502fe0bb14083f50937","abstract_canon_sha256":"f98a621c5a80880dba20d5f4b3011e74e48ca79805ff4da53f44a9efe00d5a1b"},"schema_version":"1.0"},"canonical_sha256":"e84a4922b1c2dca9130026655ec6136ed739e1ef7aab2ee0c364bfaf52a25c5b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-22T01:04:15.468348Z","signature_b64":"+pj9B7Uge0+aZgyUYPgecdWlf6W68MGnG6f4ONHqbURYzxCvUOyRm9pm/yBJSvMLGpJtKgxpi+KgCGF4+XS9Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e84a4922b1c2dca9130026655ec6136ed739e1ef7aab2ee0c364bfaf52a25c5b","last_reissued_at":"2026-05-22T01:04:15.467550Z","signature_status":"signed_v1","first_computed_at":"2026-05-22T01:04:15.467550Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.21931","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":"2026-05-22T01:04:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EJSgfq/ysT+9L2AlAUmqeBPf2SGWzIgZnD5LRl/pdQEstA4PXo3fExigvYc9bC95H/mjPtn5iJV/Px2/5L/2Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-24T04:32:55.329638Z"},"content_sha256":"931308c6038e8a4e8c59ed1802755ef24220cf91f2c1fd2f353429d640a9c696","schema_version":"1.0","event_id":"sha256:931308c6038e8a4e8c59ed1802755ef24220cf91f2c1fd2f353429d640a9c696"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:5BFESIVRYLOKSEYAEZSV5RQTN3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"EvoVid: Temporal-Centric Self-Evolution for Video Large Language Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bihan Wen, Han Qiu, Qi She, Shiqi Huang, Zhongrong Zuo, Ziyue Wang","submitted_at":"2026-05-21T03:00:35Z","abstract_excerpt":"Recent Video Large Language Models (Video-LLMs) have demonstrated strong capabilities in video reasoning through reinforcement learning (RL). However, existing RL pipelines rely heavily on human-annotated tasks and solutions, making them costly to scale and fundamentally constrained by human expertise. Self-evolving frameworks have recently emerged as a promising alternative through autonomous Questioner-Solver self-play. Unfortunately, these approaches are primarily designed for static modalities such as text and images, fundamentally failing to capture the temporal dynamics that are central "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.21931","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/2605.21931/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":"2026-05-22T01:04:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wodWDpxUzW4YAsRxPIceL55HE1zSwMPDLtsRsIMYszEZAD6AvAMlVma2NOpU7cJrbOAgf9Bn4+3esy0bG5A/DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-24T04:32:55.330292Z"},"content_sha256":"01529c0f5ceb2dccb86f4ebaeccfda63ab3905eed7222e15fa13960343ec9073","schema_version":"1.0","event_id":"sha256:01529c0f5ceb2dccb86f4ebaeccfda63ab3905eed7222e15fa13960343ec9073"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5BFESIVRYLOKSEYAEZSV5RQTN3/bundle.json","state_url":"https://pith.science/pith/5BFESIVRYLOKSEYAEZSV5RQTN3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5BFESIVRYLOKSEYAEZSV5RQTN3/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":"2026-05-24T04:32:55Z","links":{"resolver":"https://pith.science/pith/5BFESIVRYLOKSEYAEZSV5RQTN3","bundle":"https://pith.science/pith/5BFESIVRYLOKSEYAEZSV5RQTN3/bundle.json","state":"https://pith.science/pith/5BFESIVRYLOKSEYAEZSV5RQTN3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5BFESIVRYLOKSEYAEZSV5RQTN3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:5BFESIVRYLOKSEYAEZSV5RQTN3","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":"f98a621c5a80880dba20d5f4b3011e74e48ca79805ff4da53f44a9efe00d5a1b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-21T03:00:35Z","title_canon_sha256":"649f2bbcf5c2f85c258eb3c849b3b4f5b3f9de19b1866502fe0bb14083f50937"},"schema_version":"1.0","source":{"id":"2605.21931","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.21931","created_at":"2026-05-22T01:04:15Z"},{"alias_kind":"arxiv_version","alias_value":"2605.21931v1","created_at":"2026-05-22T01:04:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.21931","created_at":"2026-05-22T01:04:15Z"},{"alias_kind":"pith_short_12","alias_value":"5BFESIVRYLOK","created_at":"2026-05-22T01:04:15Z"},{"alias_kind":"pith_short_16","alias_value":"5BFESIVRYLOKSEYA","created_at":"2026-05-22T01:04:15Z"},{"alias_kind":"pith_short_8","alias_value":"5BFESIVR","created_at":"2026-05-22T01:04:15Z"}],"graph_snapshots":[{"event_id":"sha256:01529c0f5ceb2dccb86f4ebaeccfda63ab3905eed7222e15fa13960343ec9073","target":"graph","created_at":"2026-05-22T01:04:15Z","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/2605.21931/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent Video Large Language Models (Video-LLMs) have demonstrated strong capabilities in video reasoning through reinforcement learning (RL). However, existing RL pipelines rely heavily on human-annotated tasks and solutions, making them costly to scale and fundamentally constrained by human expertise. Self-evolving frameworks have recently emerged as a promising alternative through autonomous Questioner-Solver self-play. Unfortunately, these approaches are primarily designed for static modalities such as text and images, fundamentally failing to capture the temporal dynamics that are central ","authors_text":"Bihan Wen, Han Qiu, Qi She, Shiqi Huang, Zhongrong Zuo, Ziyue Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-21T03:00:35Z","title":"EvoVid: Temporal-Centric Self-Evolution for Video Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.21931","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":"sha256:931308c6038e8a4e8c59ed1802755ef24220cf91f2c1fd2f353429d640a9c696","target":"record","created_at":"2026-05-22T01:04:15Z","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":"f98a621c5a80880dba20d5f4b3011e74e48ca79805ff4da53f44a9efe00d5a1b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-21T03:00:35Z","title_canon_sha256":"649f2bbcf5c2f85c258eb3c849b3b4f5b3f9de19b1866502fe0bb14083f50937"},"schema_version":"1.0","source":{"id":"2605.21931","kind":"arxiv","version":1}},"canonical_sha256":"e84a4922b1c2dca9130026655ec6136ed739e1ef7aab2ee0c364bfaf52a25c5b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e84a4922b1c2dca9130026655ec6136ed739e1ef7aab2ee0c364bfaf52a25c5b","first_computed_at":"2026-05-22T01:04:15.467550Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-22T01:04:15.467550Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+pj9B7Uge0+aZgyUYPgecdWlf6W68MGnG6f4ONHqbURYzxCvUOyRm9pm/yBJSvMLGpJtKgxpi+KgCGF4+XS9Cw==","signature_status":"signed_v1","signed_at":"2026-05-22T01:04:15.468348Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.21931","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:931308c6038e8a4e8c59ed1802755ef24220cf91f2c1fd2f353429d640a9c696","sha256:01529c0f5ceb2dccb86f4ebaeccfda63ab3905eed7222e15fa13960343ec9073"],"state_sha256":"fb8df27ea0ff28cd19a62b8fb9e73434f0c59cf7159d0491fe5cd876d20c5bf0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HpHMpJxQ/OoFHFH2vZkgEBmhoGuLtMYMvxofNG+bXwP9ow2gDj+GKwHlLpOM+IjxoFAt20JCuLQF8+WJKh5iDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-24T04:32:55.333532Z","bundle_sha256":"b5279af3152b4d0faa1618f97e0f5f1b5aecfafe3d9bde6b03455df38f515edb"}}