{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:ZZB3NV3W557GNXEFRZT2KPHDGQ","short_pith_number":"pith:ZZB3NV3W","canonical_record":{"source":{"id":"2605.18733","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-18T17:54:34Z","cross_cats_sorted":[],"title_canon_sha256":"b6ae0b79f850e76db4f8567d93f3d1128c6d8e583795c81d450222f59bca8d47","abstract_canon_sha256":"c8492db31b485995b8c6f06ddd26c11ebfa3517ba6bd635abff36a0ea9a854ab"},"schema_version":"1.0"},"canonical_sha256":"ce43b6d776ef7e66dc858e67a53ce3343e4371ac10cb8a58ce2e7fea5f0cb525","source":{"kind":"arxiv","id":"2605.18733","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.18733","created_at":"2026-05-20T00:06:17Z"},{"alias_kind":"arxiv_version","alias_value":"2605.18733v1","created_at":"2026-05-20T00:06:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.18733","created_at":"2026-05-20T00:06:17Z"},{"alias_kind":"pith_short_12","alias_value":"ZZB3NV3W557G","created_at":"2026-05-20T00:06:17Z"},{"alias_kind":"pith_short_16","alias_value":"ZZB3NV3W557GNXEF","created_at":"2026-05-20T00:06:17Z"},{"alias_kind":"pith_short_8","alias_value":"ZZB3NV3W","created_at":"2026-05-20T00:06:17Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:ZZB3NV3W557GNXEFRZT2KPHDGQ","target":"record","payload":{"canonical_record":{"source":{"id":"2605.18733","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-18T17:54:34Z","cross_cats_sorted":[],"title_canon_sha256":"b6ae0b79f850e76db4f8567d93f3d1128c6d8e583795c81d450222f59bca8d47","abstract_canon_sha256":"c8492db31b485995b8c6f06ddd26c11ebfa3517ba6bd635abff36a0ea9a854ab"},"schema_version":"1.0"},"canonical_sha256":"ce43b6d776ef7e66dc858e67a53ce3343e4371ac10cb8a58ce2e7fea5f0cb525","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-20T00:06:17.948639Z","signature_b64":"dWbt+g8YYCC+/hZAylGKoM7Mp7WfO32mM4t0MOdAhJnWZg6liQE6T9M+j8JqggBTiHHLccSUe2oYzZB6UkCxDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ce43b6d776ef7e66dc858e67a53ce3343e4371ac10cb8a58ce2e7fea5f0cb525","last_reissued_at":"2026-05-20T00:06:17.946664Z","signature_status":"signed_v1","first_computed_at":"2026-05-20T00:06:17.946664Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.18733","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":"2026-05-20T00:06:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ALozOSMQK72Exq1pncMnZwj4rv0H9LXZdgLCseVlHqyqN6/xPncDoMW7Cjh4SSMfsdwJgUQbt6G05qUnhgulBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T06:43:01.922169Z"},"content_sha256":"7fe57bd437b971de54f95032cdc9d5c4ab17823f0e4fa1cb2164dd55d63afb44","schema_version":"1.0","event_id":"sha256:7fe57bd437b971de54f95032cdc9d5c4ab17823f0e4fa1cb2164dd55d63afb44"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:ZZB3NV3W557GNXEFRZT2KPHDGQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Advancing Narrative Long Video Generation via Training-Free Identity-Aware Memory","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Dingkang Liang, Jiangning Zhang, Jinzhuo Liu, Ran Yi, Wencan Jiang, Yabiao Wang, Yong Liu, Zhucun Xue","submitted_at":"2026-05-18T17:54:34Z","abstract_excerpt":"Autoregressive video generation has improved rapidly in visual fidelity and interactivity, but it still suffers from long-term inconsistency and memory degradation. Most existing solutions either compress historical frames using predefined strategies or retrieve keyframes based on coarse implicit attention signals, both of which fail to handle evolving prompts with shifting entity references, leading to identity drift, character duplication, and attribute loss. To address this, we propose IAMFlow, a training-free identity-aware memory framework that explicitly models and tracks persistent enti"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.18733","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/2605.18733/integrity.json","findings":[],"available":true,"detectors_run":[{"name":"claim_evidence","ran_at":"2026-05-20T00:01:59.015411Z","status":"completed","version":"1.0.0","findings_count":0}],"snapshot_sha256":"84fcea02a798c4dedd1a55b63ddc8f14fd43eff939cd7980cefc654f6365e694"},"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":"2026-05-20T00:06:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ce6+YAsPtGyv20f8vCyf7hTi/HR0ZVjM9lYPWNKK3hrPu1lCMLI8NVU2CzFSAiiDY34XHuvFwy3pNJk9iW5ZAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T06:43:01.922571Z"},"content_sha256":"7431bf718c51cd17af1571bbc5958f7c7c5e72e21100191b2139a7cfbf49f61f","schema_version":"1.0","event_id":"sha256:7431bf718c51cd17af1571bbc5958f7c7c5e72e21100191b2139a7cfbf49f61f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZZB3NV3W557GNXEFRZT2KPHDGQ/bundle.json","state_url":"https://pith.science/pith/ZZB3NV3W557GNXEFRZT2KPHDGQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZZB3NV3W557GNXEFRZT2KPHDGQ/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":"2026-06-01T06:43:01Z","links":{"resolver":"https://pith.science/pith/ZZB3NV3W557GNXEFRZT2KPHDGQ","bundle":"https://pith.science/pith/ZZB3NV3W557GNXEFRZT2KPHDGQ/bundle.json","state":"https://pith.science/pith/ZZB3NV3W557GNXEFRZT2KPHDGQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZZB3NV3W557GNXEFRZT2KPHDGQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:ZZB3NV3W557GNXEFRZT2KPHDGQ","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":"c8492db31b485995b8c6f06ddd26c11ebfa3517ba6bd635abff36a0ea9a854ab","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-18T17:54:34Z","title_canon_sha256":"b6ae0b79f850e76db4f8567d93f3d1128c6d8e583795c81d450222f59bca8d47"},"schema_version":"1.0","source":{"id":"2605.18733","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.18733","created_at":"2026-05-20T00:06:17Z"},{"alias_kind":"arxiv_version","alias_value":"2605.18733v1","created_at":"2026-05-20T00:06:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.18733","created_at":"2026-05-20T00:06:17Z"},{"alias_kind":"pith_short_12","alias_value":"ZZB3NV3W557G","created_at":"2026-05-20T00:06:17Z"},{"alias_kind":"pith_short_16","alias_value":"ZZB3NV3W557GNXEF","created_at":"2026-05-20T00:06:17Z"},{"alias_kind":"pith_short_8","alias_value":"ZZB3NV3W","created_at":"2026-05-20T00:06:17Z"}],"graph_snapshots":[{"event_id":"sha256:7431bf718c51cd17af1571bbc5958f7c7c5e72e21100191b2139a7cfbf49f61f","target":"graph","created_at":"2026-05-20T00:06:17Z","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":[{"findings_count":0,"name":"claim_evidence","ran_at":"2026-05-20T00:01:59.015411Z","status":"completed","version":"1.0.0"}],"endpoint":"/pith/2605.18733/integrity.json","findings":[],"snapshot_sha256":"84fcea02a798c4dedd1a55b63ddc8f14fd43eff939cd7980cefc654f6365e694","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Autoregressive video generation has improved rapidly in visual fidelity and interactivity, but it still suffers from long-term inconsistency and memory degradation. Most existing solutions either compress historical frames using predefined strategies or retrieve keyframes based on coarse implicit attention signals, both of which fail to handle evolving prompts with shifting entity references, leading to identity drift, character duplication, and attribute loss. To address this, we propose IAMFlow, a training-free identity-aware memory framework that explicitly models and tracks persistent enti","authors_text":"Dingkang Liang, Jiangning Zhang, Jinzhuo Liu, Ran Yi, Wencan Jiang, Yabiao Wang, Yong Liu, Zhucun Xue","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-18T17:54:34Z","title":"Advancing Narrative Long Video Generation via Training-Free Identity-Aware Memory"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.18733","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":"sha256:7fe57bd437b971de54f95032cdc9d5c4ab17823f0e4fa1cb2164dd55d63afb44","target":"record","created_at":"2026-05-20T00:06:17Z","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":"c8492db31b485995b8c6f06ddd26c11ebfa3517ba6bd635abff36a0ea9a854ab","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-18T17:54:34Z","title_canon_sha256":"b6ae0b79f850e76db4f8567d93f3d1128c6d8e583795c81d450222f59bca8d47"},"schema_version":"1.0","source":{"id":"2605.18733","kind":"arxiv","version":1}},"canonical_sha256":"ce43b6d776ef7e66dc858e67a53ce3343e4371ac10cb8a58ce2e7fea5f0cb525","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ce43b6d776ef7e66dc858e67a53ce3343e4371ac10cb8a58ce2e7fea5f0cb525","first_computed_at":"2026-05-20T00:06:17.946664Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T00:06:17.946664Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"dWbt+g8YYCC+/hZAylGKoM7Mp7WfO32mM4t0MOdAhJnWZg6liQE6T9M+j8JqggBTiHHLccSUe2oYzZB6UkCxDw==","signature_status":"signed_v1","signed_at":"2026-05-20T00:06:17.948639Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.18733","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7fe57bd437b971de54f95032cdc9d5c4ab17823f0e4fa1cb2164dd55d63afb44","sha256:7431bf718c51cd17af1571bbc5958f7c7c5e72e21100191b2139a7cfbf49f61f"],"state_sha256":"5bdaaf7a93d2b4d586759e782bd1887831d2f94bbb77ee3d887fd39a835085f1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hj8yktVigXvlau1kdsWITkvBQVxWNt70+UsCbQjfg6SoQF1RorKNr2AIItMN2T2ZGaI6qxcEmCCameX3R8xSBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-01T06:43:01.924620Z","bundle_sha256":"aa78d00e776a6b9e81f6db39b1084f8fbd419d1c20ee08c3bc050dd782ba82c7"}}