{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:USKRT5B25QVR4JMXNXBUZBG7ZZ","short_pith_number":"pith:USKRT5B2","canonical_record":{"source":{"id":"2605.28237","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2026-05-27T09:50:16Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"7328c818f2288c471025a67fe8318a55def64eb74b4785dba735582195ec3798","abstract_canon_sha256":"4c3fd6c483840001fdc40b2f15d6ec87e5ff0d1b82dcaaa35cc07b13de78165f"},"schema_version":"1.0"},"canonical_sha256":"a49519f43aec2b1e25976dc34c84dfce770e0c4e0be6903dbb0c023b9a8c8370","source":{"kind":"arxiv","id":"2605.28237","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.28237","created_at":"2026-05-28T01:05:03Z"},{"alias_kind":"arxiv_version","alias_value":"2605.28237v1","created_at":"2026-05-28T01:05:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.28237","created_at":"2026-05-28T01:05:03Z"},{"alias_kind":"pith_short_12","alias_value":"USKRT5B25QVR","created_at":"2026-05-28T01:05:03Z"},{"alias_kind":"pith_short_16","alias_value":"USKRT5B25QVR4JMX","created_at":"2026-05-28T01:05:03Z"},{"alias_kind":"pith_short_8","alias_value":"USKRT5B2","created_at":"2026-05-28T01:05:03Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:USKRT5B25QVR4JMXNXBUZBG7ZZ","target":"record","payload":{"canonical_record":{"source":{"id":"2605.28237","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2026-05-27T09:50:16Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"7328c818f2288c471025a67fe8318a55def64eb74b4785dba735582195ec3798","abstract_canon_sha256":"4c3fd6c483840001fdc40b2f15d6ec87e5ff0d1b82dcaaa35cc07b13de78165f"},"schema_version":"1.0"},"canonical_sha256":"a49519f43aec2b1e25976dc34c84dfce770e0c4e0be6903dbb0c023b9a8c8370","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-28T01:05:03.672161Z","signature_b64":"siRD7ui6dUD2pBxKO/X85dkyhAvxNzbvQ6DMR5HAXkImegTyWBwMpL8S08Tj8PDcnjhLzmTfFlG8AX0vNVP3Dg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a49519f43aec2b1e25976dc34c84dfce770e0c4e0be6903dbb0c023b9a8c8370","last_reissued_at":"2026-05-28T01:05:03.671581Z","signature_status":"signed_v1","first_computed_at":"2026-05-28T01:05:03.671581Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.28237","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":"2026-05-28T01:05:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"twwri1YkKUVAxqKWZGC5RKbMfw0KZoaYH7zwmePGCwCr7Zsubv1oBbym8kwT/E4EGjSH2tk6ww8sWTL34wBuAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-30T08:14:03.961939Z"},"content_sha256":"9498fe7ebe59fb6a99695c6c5caf11dc84f5f638e11ae7733bad4eb0df64aadf","schema_version":"1.0","event_id":"sha256:9498fe7ebe59fb6a99695c6c5caf11dc84f5f638e11ae7733bad4eb0df64aadf"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:USKRT5B25QVR4JMXNXBUZBG7ZZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"POINav: Benchmarking and Enhancing Final-Meters Arrival in Real-World Vision-Language Navigation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.RO","authors_text":"Kangning Niu, Meisheng Zhang, Mingchao Sun, Mu Xu, Qiming Li, Ruiyan Gong, Tianlun Li, Wei Guo, Xiaolong Cheng, Xiaolong Wu, Yanfen Shen, Yanqing Zhu, Yuxiang Zhao, Zedong Chu, Zhining Gu","submitted_at":"2026-05-27T09:50:16Z","abstract_excerpt":"Real-world navigation is fundamentally driven by Points of Interest (POIs), yet reaching a precise POI remains a critical \"final-meters\" challenge. Existing Vision-Language Navigation (VLN) benchmarks of POI-goal navigation often suffer from coarse granularity or significant sim-to-real gaps due to generated scene. To bridge this gap, we present POINav-Bench, the first benchmark designed for closed-loop evaluation of real-world POI-goal navigation. It comprises 11 commercial areas reconstructed from real-world captures using 3D Gaussian Splatting (3DGS), covering 126,398 $m^{2}$ in total and s"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.28237","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/2605.28237/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":"2026-05-28T01:05:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"49/kYDK3bmZIcyLC14UZTMPPKWA4nXsSbT4GqCBkbZWiUM3qSdMQUKPnifKRkdAtgRxJ1V1hR6oAzCYArCeODw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-30T08:14:03.962359Z"},"content_sha256":"3e92fb42bba134d5b0f225c7d733ce78b956c3e729511a567711f4ff6c0cb481","schema_version":"1.0","event_id":"sha256:3e92fb42bba134d5b0f225c7d733ce78b956c3e729511a567711f4ff6c0cb481"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/USKRT5B25QVR4JMXNXBUZBG7ZZ/bundle.json","state_url":"https://pith.science/pith/USKRT5B25QVR4JMXNXBUZBG7ZZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/USKRT5B25QVR4JMXNXBUZBG7ZZ/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":"2026-06-30T08:14:03Z","links":{"resolver":"https://pith.science/pith/USKRT5B25QVR4JMXNXBUZBG7ZZ","bundle":"https://pith.science/pith/USKRT5B25QVR4JMXNXBUZBG7ZZ/bundle.json","state":"https://pith.science/pith/USKRT5B25QVR4JMXNXBUZBG7ZZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/USKRT5B25QVR4JMXNXBUZBG7ZZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:USKRT5B25QVR4JMXNXBUZBG7ZZ","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":"4c3fd6c483840001fdc40b2f15d6ec87e5ff0d1b82dcaaa35cc07b13de78165f","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2026-05-27T09:50:16Z","title_canon_sha256":"7328c818f2288c471025a67fe8318a55def64eb74b4785dba735582195ec3798"},"schema_version":"1.0","source":{"id":"2605.28237","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.28237","created_at":"2026-05-28T01:05:03Z"},{"alias_kind":"arxiv_version","alias_value":"2605.28237v1","created_at":"2026-05-28T01:05:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.28237","created_at":"2026-05-28T01:05:03Z"},{"alias_kind":"pith_short_12","alias_value":"USKRT5B25QVR","created_at":"2026-05-28T01:05:03Z"},{"alias_kind":"pith_short_16","alias_value":"USKRT5B25QVR4JMX","created_at":"2026-05-28T01:05:03Z"},{"alias_kind":"pith_short_8","alias_value":"USKRT5B2","created_at":"2026-05-28T01:05:03Z"}],"graph_snapshots":[{"event_id":"sha256:3e92fb42bba134d5b0f225c7d733ce78b956c3e729511a567711f4ff6c0cb481","target":"graph","created_at":"2026-05-28T01:05:03Z","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/2605.28237/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Real-world navigation is fundamentally driven by Points of Interest (POIs), yet reaching a precise POI remains a critical \"final-meters\" challenge. Existing Vision-Language Navigation (VLN) benchmarks of POI-goal navigation often suffer from coarse granularity or significant sim-to-real gaps due to generated scene. To bridge this gap, we present POINav-Bench, the first benchmark designed for closed-loop evaluation of real-world POI-goal navigation. It comprises 11 commercial areas reconstructed from real-world captures using 3D Gaussian Splatting (3DGS), covering 126,398 $m^{2}$ in total and s","authors_text":"Kangning Niu, Meisheng Zhang, Mingchao Sun, Mu Xu, Qiming Li, Ruiyan Gong, Tianlun Li, Wei Guo, Xiaolong Cheng, Xiaolong Wu, Yanfen Shen, Yanqing Zhu, Yuxiang Zhao, Zedong Chu, Zhining Gu","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2026-05-27T09:50:16Z","title":"POINav: Benchmarking and Enhancing Final-Meters Arrival in Real-World Vision-Language Navigation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.28237","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":"sha256:9498fe7ebe59fb6a99695c6c5caf11dc84f5f638e11ae7733bad4eb0df64aadf","target":"record","created_at":"2026-05-28T01:05:03Z","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":"4c3fd6c483840001fdc40b2f15d6ec87e5ff0d1b82dcaaa35cc07b13de78165f","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2026-05-27T09:50:16Z","title_canon_sha256":"7328c818f2288c471025a67fe8318a55def64eb74b4785dba735582195ec3798"},"schema_version":"1.0","source":{"id":"2605.28237","kind":"arxiv","version":1}},"canonical_sha256":"a49519f43aec2b1e25976dc34c84dfce770e0c4e0be6903dbb0c023b9a8c8370","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a49519f43aec2b1e25976dc34c84dfce770e0c4e0be6903dbb0c023b9a8c8370","first_computed_at":"2026-05-28T01:05:03.671581Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-28T01:05:03.671581Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"siRD7ui6dUD2pBxKO/X85dkyhAvxNzbvQ6DMR5HAXkImegTyWBwMpL8S08Tj8PDcnjhLzmTfFlG8AX0vNVP3Dg==","signature_status":"signed_v1","signed_at":"2026-05-28T01:05:03.672161Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.28237","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9498fe7ebe59fb6a99695c6c5caf11dc84f5f638e11ae7733bad4eb0df64aadf","sha256:3e92fb42bba134d5b0f225c7d733ce78b956c3e729511a567711f4ff6c0cb481"],"state_sha256":"2a890a3b4684d2cf7ab58bbfc78ee8e5edfcd6dbf3bab88c5c6cb3f9b26c14f9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PavqSSAE8BotLwXwci6djdtU8gRCowQG460inRSDHR+jQVosJxRLzFdOXD2Jn7XT42rlO4YrAWuY3DUZkD/ECg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-30T08:14:03.964301Z","bundle_sha256":"cb41d77b0d365a7921cc0c0a2ec1c59b84a49de238ba7feca54ceda43b31086e"}}