{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:CJ76ERNWFDLR75AGTL6QHYMYH4","short_pith_number":"pith:CJ76ERNW","schema_version":"1.0","canonical_sha256":"127fe245b628d71ff4069afd03e1983f018f4e3769047ab5484119c11fe8a978","source":{"kind":"arxiv","id":"2607.23797","version":1},"attestation_state":"computed","paper":{"title":"Memory for Attention: Language-Conditioned Re-Perception with a Vision--Language--Motion Map","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.RO","authors_text":"Dibyendu Ghosh","submitted_at":"2026-07-26T18:49:54Z","abstract_excerpt":"A robot carrying a persistent, behavior-annotated map faces two planning questions, and its memory answers only one well. The \\emph{spatial-navigation} question -- how to walk around a room -- we address first and report a negative: building on Vision--Language--Motion Maps (VLMM), a behavior-aware planner cost cuts a planning-time objective by $\\sim$35\\% over 28 AI2-THOR scenes, but under closed-loop execution the real benefit nearly vanishes ($\\sim$4\\%) and an on-demand vision--language model (VLM) does as well. The \\emph{resource-allocation} question differs: under a limited perception budg"},"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":"2607.23797","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2026-07-26T18:49:54Z","cross_cats_sorted":[],"title_canon_sha256":"9a11d3d3915dd5a3d709e0da6a047cffcfc2652c54d541b52404663998c9b329","abstract_canon_sha256":"d6ad94668d1bd3a8c25c1eba914ec387f72182f0ce32e885873e4a6724f518aa"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-28T01:23:11.669037Z","signature_b64":"7o4J2eNbU0Q19rPKR9VjIVSPWhncBxnUqIejPoxWAz7RqyYhZZYWHU2bQclmQ0m1D07usyct2QpKoauChOk/AA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"127fe245b628d71ff4069afd03e1983f018f4e3769047ab5484119c11fe8a978","last_reissued_at":"2026-07-28T01:23:11.668270Z","signature_status":"signed_v1","first_computed_at":"2026-07-28T01:23:11.668270Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Memory for Attention: Language-Conditioned Re-Perception with a Vision--Language--Motion Map","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.RO","authors_text":"Dibyendu Ghosh","submitted_at":"2026-07-26T18:49:54Z","abstract_excerpt":"A robot carrying a persistent, behavior-annotated map faces two planning questions, and its memory answers only one well. The \\emph{spatial-navigation} question -- how to walk around a room -- we address first and report a negative: building on Vision--Language--Motion Maps (VLMM), a behavior-aware planner cost cuts a planning-time objective by $\\sim$35\\% over 28 AI2-THOR scenes, but under closed-loop execution the real benefit nearly vanishes ($\\sim$4\\%) and an on-demand vision--language model (VLM) does as well. The \\emph{resource-allocation} question differs: under a limited perception budg"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.23797","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/2607.23797/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":"2607.23797","created_at":"2026-07-28T01:23:11.668693+00:00"},{"alias_kind":"arxiv_version","alias_value":"2607.23797v1","created_at":"2026-07-28T01:23:11.668693+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.23797","created_at":"2026-07-28T01:23:11.668693+00:00"},{"alias_kind":"pith_short_12","alias_value":"CJ76ERNWFDLR","created_at":"2026-07-28T01:23:11.668693+00:00"},{"alias_kind":"pith_short_16","alias_value":"CJ76ERNWFDLR75AG","created_at":"2026-07-28T01:23:11.668693+00:00"},{"alias_kind":"pith_short_8","alias_value":"CJ76ERNW","created_at":"2026-07-28T01:23:11.668693+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/CJ76ERNWFDLR75AGTL6QHYMYH4","json":"https://pith.science/pith/CJ76ERNWFDLR75AGTL6QHYMYH4.json","graph_json":"https://pith.science/api/pith-number/CJ76ERNWFDLR75AGTL6QHYMYH4/graph.json","events_json":"https://pith.science/api/pith-number/CJ76ERNWFDLR75AGTL6QHYMYH4/events.json","paper":"https://pith.science/paper/CJ76ERNW"},"agent_actions":{"view_html":"https://pith.science/pith/CJ76ERNWFDLR75AGTL6QHYMYH4","download_json":"https://pith.science/pith/CJ76ERNWFDLR75AGTL6QHYMYH4.json","view_paper":"https://pith.science/paper/CJ76ERNW","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2607.23797&json=true","fetch_graph":"https://pith.science/api/pith-number/CJ76ERNWFDLR75AGTL6QHYMYH4/graph.json","fetch_events":"https://pith.science/api/pith-number/CJ76ERNWFDLR75AGTL6QHYMYH4/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/CJ76ERNWFDLR75AGTL6QHYMYH4/action/timestamp_anchor","attest_storage":"https://pith.science/pith/CJ76ERNWFDLR75AGTL6QHYMYH4/action/storage_attestation","attest_author":"https://pith.science/pith/CJ76ERNWFDLR75AGTL6QHYMYH4/action/author_attestation","sign_citation":"https://pith.science/pith/CJ76ERNWFDLR75AGTL6QHYMYH4/action/citation_signature","submit_replication":"https://pith.science/pith/CJ76ERNWFDLR75AGTL6QHYMYH4/action/replication_record"}},"created_at":"2026-07-28T01:23:11.668693+00:00","updated_at":"2026-07-28T01:23:11.668693+00:00"}