{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:2ZQ5NQQZZOXOH76IOHH32BFQE5","short_pith_number":"pith:2ZQ5NQQZ","canonical_record":{"source":{"id":"2605.15964","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2026-05-15T13:55:39Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"0666a52b2ec67ecac1a2d6dcfbea8cecfea7c55bd4a53cbc796a3728eedc4f04","abstract_canon_sha256":"b49b6d510e3a2e576c95c7c6d44a62b0aea631a2c6f5373d848e1cf0a70cd85e"},"schema_version":"1.0"},"canonical_sha256":"d661d6c219cbaee3ffc871cfbd04b0276617a540d6bf28281ea6d07cb1f1741c","source":{"kind":"arxiv","id":"2605.15964","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.15964","created_at":"2026-05-20T00:01:46Z"},{"alias_kind":"arxiv_version","alias_value":"2605.15964v1","created_at":"2026-05-20T00:01:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.15964","created_at":"2026-05-20T00:01:46Z"},{"alias_kind":"pith_short_12","alias_value":"2ZQ5NQQZZOXO","created_at":"2026-05-20T00:01:46Z"},{"alias_kind":"pith_short_16","alias_value":"2ZQ5NQQZZOXOH76I","created_at":"2026-05-20T00:01:46Z"},{"alias_kind":"pith_short_8","alias_value":"2ZQ5NQQZ","created_at":"2026-05-20T00:01:46Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:2ZQ5NQQZZOXOH76IOHH32BFQE5","target":"record","payload":{"canonical_record":{"source":{"id":"2605.15964","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2026-05-15T13:55:39Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"0666a52b2ec67ecac1a2d6dcfbea8cecfea7c55bd4a53cbc796a3728eedc4f04","abstract_canon_sha256":"b49b6d510e3a2e576c95c7c6d44a62b0aea631a2c6f5373d848e1cf0a70cd85e"},"schema_version":"1.0"},"canonical_sha256":"d661d6c219cbaee3ffc871cfbd04b0276617a540d6bf28281ea6d07cb1f1741c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-20T00:01:46.938523Z","signature_b64":"yxJdWS6o49WilXee3YXgcg3UTsNTLIiR9a2uZwgjo2AopFWsWaLcuqZocyRq3X7dZJPth3Ne/C0091J6PkoPAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d661d6c219cbaee3ffc871cfbd04b0276617a540d6bf28281ea6d07cb1f1741c","last_reissued_at":"2026-05-20T00:01:46.937827Z","signature_status":"signed_v1","first_computed_at":"2026-05-20T00:01:46.937827Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.15964","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":"2026-05-20T00:01:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Jqmuhqe2rdP9pT9tF13RfDTs94cVinUZBhMoU2fIKpUWXUuGrJhcsusLqKTyBzps4aCMRrKJBpLdtIIck13GCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T11:05:29.100091Z"},"content_sha256":"3a9618e8d169b9c5bed5b88d296664acdc91bf54e6f519255c30eae0366b3ce5","schema_version":"1.0","event_id":"sha256:3a9618e8d169b9c5bed5b88d296664acdc91bf54e6f519255c30eae0366b3ce5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:2ZQ5NQQZZOXOH76IOHH32BFQE5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"WorldVLN: Autoregressive World Action Model for Aerial Vision-Language Navigation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.RO","authors_text":"Baining Zhao, Chen Gao, Haoyang Wang, Jiacheng Xu, Jianjie Fang, Shilong Ji, Weicheng Feng, Weichen Zhang, Wei Wu, Xinlei Chen, Xin Zhang, Yong Li, Yu Shang, Zhaolu Wang, Zhiheng Zheng, Ziyou Wang","submitted_at":"2026-05-15T13:55:39Z","abstract_excerpt":"Aerial vision-language navigation (VLN) requires agents to follow natural-language instructions through closed-loop perception and action in 3D environments. We argue that aerial VLN can be formulated as a prediction-driven world-action problem: the agent should anticipate latent world evolution and act according to the predicted consequences. To this end, we propose WorldVLN, the first autoregressive world action model for aerial VLN. Unlike full-sequence video-generation world models that generate an entire visual clip, WorldVLN adapts a latent autoregressive video backbone to predict short-"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.15964","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/2605.15964/integrity.json","findings":[],"available":true,"detectors_run":[{"name":"ai_meta_artifact","ran_at":"2026-05-19T17:33:44.872982Z","status":"skipped","version":"1.0.0","findings_count":0},{"name":"claim_evidence","ran_at":"2026-05-19T17:01:55.698007Z","status":"completed","version":"1.0.0","findings_count":0}],"snapshot_sha256":"2d12e90ad0d8db87dddaa82a74b1e7c6442813ed47db67aa86f7435e896620f6"},"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":"2026-05-20T00:01:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rhgJ+dXQ8voEYmbcDVy3DW6n59HYO0/X6KF5rfODqWHafIAL8FDumExjWoYPqiKfSn5c3EsxRWUgBlILMRivAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T11:05:29.100520Z"},"content_sha256":"df9bb399d9f7949f816e46cf14ff1fbcb485ec7b03e2e83fe05be7f4ececf9f7","schema_version":"1.0","event_id":"sha256:df9bb399d9f7949f816e46cf14ff1fbcb485ec7b03e2e83fe05be7f4ececf9f7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2ZQ5NQQZZOXOH76IOHH32BFQE5/bundle.json","state_url":"https://pith.science/pith/2ZQ5NQQZZOXOH76IOHH32BFQE5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2ZQ5NQQZZOXOH76IOHH32BFQE5/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":"2026-06-01T11:05:29Z","links":{"resolver":"https://pith.science/pith/2ZQ5NQQZZOXOH76IOHH32BFQE5","bundle":"https://pith.science/pith/2ZQ5NQQZZOXOH76IOHH32BFQE5/bundle.json","state":"https://pith.science/pith/2ZQ5NQQZZOXOH76IOHH32BFQE5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2ZQ5NQQZZOXOH76IOHH32BFQE5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:2ZQ5NQQZZOXOH76IOHH32BFQE5","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":"b49b6d510e3a2e576c95c7c6d44a62b0aea631a2c6f5373d848e1cf0a70cd85e","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2026-05-15T13:55:39Z","title_canon_sha256":"0666a52b2ec67ecac1a2d6dcfbea8cecfea7c55bd4a53cbc796a3728eedc4f04"},"schema_version":"1.0","source":{"id":"2605.15964","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.15964","created_at":"2026-05-20T00:01:46Z"},{"alias_kind":"arxiv_version","alias_value":"2605.15964v1","created_at":"2026-05-20T00:01:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.15964","created_at":"2026-05-20T00:01:46Z"},{"alias_kind":"pith_short_12","alias_value":"2ZQ5NQQZZOXO","created_at":"2026-05-20T00:01:46Z"},{"alias_kind":"pith_short_16","alias_value":"2ZQ5NQQZZOXOH76I","created_at":"2026-05-20T00:01:46Z"},{"alias_kind":"pith_short_8","alias_value":"2ZQ5NQQZ","created_at":"2026-05-20T00:01:46Z"}],"graph_snapshots":[{"event_id":"sha256:df9bb399d9f7949f816e46cf14ff1fbcb485ec7b03e2e83fe05be7f4ececf9f7","target":"graph","created_at":"2026-05-20T00:01:46Z","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":"ai_meta_artifact","ran_at":"2026-05-19T17:33:44.872982Z","status":"skipped","version":"1.0.0"},{"findings_count":0,"name":"claim_evidence","ran_at":"2026-05-19T17:01:55.698007Z","status":"completed","version":"1.0.0"}],"endpoint":"/pith/2605.15964/integrity.json","findings":[],"snapshot_sha256":"2d12e90ad0d8db87dddaa82a74b1e7c6442813ed47db67aa86f7435e896620f6","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Aerial vision-language navigation (VLN) requires agents to follow natural-language instructions through closed-loop perception and action in 3D environments. We argue that aerial VLN can be formulated as a prediction-driven world-action problem: the agent should anticipate latent world evolution and act according to the predicted consequences. To this end, we propose WorldVLN, the first autoregressive world action model for aerial VLN. Unlike full-sequence video-generation world models that generate an entire visual clip, WorldVLN adapts a latent autoregressive video backbone to predict short-","authors_text":"Baining Zhao, Chen Gao, Haoyang Wang, Jiacheng Xu, Jianjie Fang, Shilong Ji, Weicheng Feng, Weichen Zhang, Wei Wu, Xinlei Chen, Xin Zhang, Yong Li, Yu Shang, Zhaolu Wang, Zhiheng Zheng, Ziyou Wang","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2026-05-15T13:55:39Z","title":"WorldVLN: Autoregressive World Action Model for Aerial Vision-Language Navigation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.15964","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":"sha256:3a9618e8d169b9c5bed5b88d296664acdc91bf54e6f519255c30eae0366b3ce5","target":"record","created_at":"2026-05-20T00:01:46Z","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":"b49b6d510e3a2e576c95c7c6d44a62b0aea631a2c6f5373d848e1cf0a70cd85e","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2026-05-15T13:55:39Z","title_canon_sha256":"0666a52b2ec67ecac1a2d6dcfbea8cecfea7c55bd4a53cbc796a3728eedc4f04"},"schema_version":"1.0","source":{"id":"2605.15964","kind":"arxiv","version":1}},"canonical_sha256":"d661d6c219cbaee3ffc871cfbd04b0276617a540d6bf28281ea6d07cb1f1741c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d661d6c219cbaee3ffc871cfbd04b0276617a540d6bf28281ea6d07cb1f1741c","first_computed_at":"2026-05-20T00:01:46.937827Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T00:01:46.937827Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"yxJdWS6o49WilXee3YXgcg3UTsNTLIiR9a2uZwgjo2AopFWsWaLcuqZocyRq3X7dZJPth3Ne/C0091J6PkoPAA==","signature_status":"signed_v1","signed_at":"2026-05-20T00:01:46.938523Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.15964","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3a9618e8d169b9c5bed5b88d296664acdc91bf54e6f519255c30eae0366b3ce5","sha256:df9bb399d9f7949f816e46cf14ff1fbcb485ec7b03e2e83fe05be7f4ececf9f7"],"state_sha256":"37f5641d70349423641b159293da0cd0ce2c711043cb2bda6586e5a486c2d431"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5UeTOIDi+l4rJOhZkJWkZOaAh2b2CzZtBZ8T/FqdT1Qvqggh0K5Vnq9XdV5UMYid8qhzAUtrI1QPGiPRpTW0Cw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-01T11:05:29.102559Z","bundle_sha256":"a0ab282b24afd26772e0af4d826335f8ba7a1511af77c40709982217f58af392"}}