{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:67FHEKCXDGP2DTNG7XPCORTISU","short_pith_number":"pith:67FHEKCX","schema_version":"1.0","canonical_sha256":"f7ca722857199fa1cda6fdde274668952239e542c29b33b9a53e274849d7ba59","source":{"kind":"arxiv","id":"2606.02459","version":1},"attestation_state":"computed","paper":{"title":"Active Exploring like a Pigeon: Reinforcing Spatial Reasoning via Agentic Vision-Language Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Mengshi Qi, Wei Deng, Xianlin Zhang","submitted_at":"2026-06-01T16:30:56Z","abstract_excerpt":"Enabling Vision-Language Models (VLMs) to perform spatial reasoning remains challenging. Existing approaches treat VLMs as passive observers, which is difficult for real-world applications. Moreover, reinforcement learning methods rely on sparse rewards, limiting their effectiveness for complex reasoning tasks. Inspired by pigeons' building and exploiting cognitive maps for navigation, we propose a novel agentic pipeline for spatial reasoning. First, we introduce a new \\emph{dynamic cognitive map} parameterizing scene layout as object positions and orientations, serving as persistent memory fo"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2606.02459","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-01T16:30:56Z","cross_cats_sorted":[],"title_canon_sha256":"510336ffca19d9c8359f26d7e15a94ce429cef91ef7564d773acb86121a76146","abstract_canon_sha256":"9bbc1812f0f01fcf9e3119d663147b48cabd32e8da755af14f8767e8b4f87b65"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-02T03:05:06.828103Z","signature_b64":"+5bvFz9G4A26zIOcZa5QJS6PAVb8ojuyGSJGXAyZnIOhG86XvZ9ixq67IYPimnLVZXIJBNQvFSD8oud7u/E7BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f7ca722857199fa1cda6fdde274668952239e542c29b33b9a53e274849d7ba59","last_reissued_at":"2026-06-02T03:05:06.827768Z","signature_status":"signed_v1","first_computed_at":"2026-06-02T03:05:06.827768Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Active Exploring like a Pigeon: Reinforcing Spatial Reasoning via Agentic Vision-Language Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Mengshi Qi, Wei Deng, Xianlin Zhang","submitted_at":"2026-06-01T16:30:56Z","abstract_excerpt":"Enabling Vision-Language Models (VLMs) to perform spatial reasoning remains challenging. Existing approaches treat VLMs as passive observers, which is difficult for real-world applications. Moreover, reinforcement learning methods rely on sparse rewards, limiting their effectiveness for complex reasoning tasks. Inspired by pigeons' building and exploiting cognitive maps for navigation, we propose a novel agentic pipeline for spatial reasoning. First, we introduce a new \\emph{dynamic cognitive map} parameterizing scene layout as object positions and orientations, serving as persistent memory fo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.02459","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/2606.02459/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2606.02459","created_at":"2026-06-02T03:05:06.827823+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.02459v1","created_at":"2026-06-02T03:05:06.827823+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.02459","created_at":"2026-06-02T03:05:06.827823+00:00"},{"alias_kind":"pith_short_12","alias_value":"67FHEKCXDGP2","created_at":"2026-06-02T03:05:06.827823+00:00"},{"alias_kind":"pith_short_16","alias_value":"67FHEKCXDGP2DTNG","created_at":"2026-06-02T03:05:06.827823+00:00"},{"alias_kind":"pith_short_8","alias_value":"67FHEKCX","created_at":"2026-06-02T03:05:06.827823+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/67FHEKCXDGP2DTNG7XPCORTISU","json":"https://pith.science/pith/67FHEKCXDGP2DTNG7XPCORTISU.json","graph_json":"https://pith.science/api/pith-number/67FHEKCXDGP2DTNG7XPCORTISU/graph.json","events_json":"https://pith.science/api/pith-number/67FHEKCXDGP2DTNG7XPCORTISU/events.json","paper":"https://pith.science/paper/67FHEKCX"},"agent_actions":{"view_html":"https://pith.science/pith/67FHEKCXDGP2DTNG7XPCORTISU","download_json":"https://pith.science/pith/67FHEKCXDGP2DTNG7XPCORTISU.json","view_paper":"https://pith.science/paper/67FHEKCX","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.02459&json=true","fetch_graph":"https://pith.science/api/pith-number/67FHEKCXDGP2DTNG7XPCORTISU/graph.json","fetch_events":"https://pith.science/api/pith-number/67FHEKCXDGP2DTNG7XPCORTISU/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/67FHEKCXDGP2DTNG7XPCORTISU/action/timestamp_anchor","attest_storage":"https://pith.science/pith/67FHEKCXDGP2DTNG7XPCORTISU/action/storage_attestation","attest_author":"https://pith.science/pith/67FHEKCXDGP2DTNG7XPCORTISU/action/author_attestation","sign_citation":"https://pith.science/pith/67FHEKCXDGP2DTNG7XPCORTISU/action/citation_signature","submit_replication":"https://pith.science/pith/67FHEKCXDGP2DTNG7XPCORTISU/action/replication_record"}},"created_at":"2026-06-02T03:05:06.827823+00:00","updated_at":"2026-06-02T03:05:06.827823+00:00"}