{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2021:DCBPTJMS6WQWYZAXI53QRUMHH2","short_pith_number":"pith:DCBPTJMS","schema_version":"1.0","canonical_sha256":"1882f9a592f5a16c6417477708d1873ea49140bb50f4ade94d2fa641b0b957fe","source":{"kind":"arxiv","id":"2105.05145","version":1},"attestation_state":"computed","paper":{"title":"Visual Perspective Taking for Opponent Behavior Modeling","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CV","cs.LG","cs.MA"],"primary_cat":"cs.RO","authors_text":"Boyuan Chen, Hod Lipson, Robert Kwiatkowski, Shuran Song, Yuhang Hu","submitted_at":"2021-05-11T16:02:32Z","abstract_excerpt":"In order to engage in complex social interaction, humans learn at a young age to infer what others see and cannot see from a different point-of-view, and learn to predict others' plans and behaviors. These abilities have been mostly lacking in robots, sometimes making them appear awkward and socially inept. Here we propose an end-to-end long-term visual prediction framework for robots to begin to acquire both these critical cognitive skills, known as Visual Perspective Taking (VPT) and Theory of Behavior (TOB). We demonstrate our approach in the context of visual hide-and-seek - a game that re"},"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":"2105.05145","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2021-05-11T16:02:32Z","cross_cats_sorted":["cs.AI","cs.CV","cs.LG","cs.MA"],"title_canon_sha256":"0973935446d9850b3256e9d101c8d658dca43c550db5930b37ae6d0b481d8c19","abstract_canon_sha256":"e12f3e0b5d1d7b230dc02ca3621a88c31aea0dc337a909d396b4965f7ff96790"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:39:28.587059Z","signature_b64":"m0jHeInoP/aFenGtWL63fMRLNHBDv01I+aZeAFVxyi7R/B/2MgkzmAnfdJr8VUtjt+Dmfzr/OoMlloNHWHWlDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1882f9a592f5a16c6417477708d1873ea49140bb50f4ade94d2fa641b0b957fe","last_reissued_at":"2026-07-05T02:39:28.586632Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:39:28.586632Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Visual Perspective Taking for Opponent Behavior Modeling","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CV","cs.LG","cs.MA"],"primary_cat":"cs.RO","authors_text":"Boyuan Chen, Hod Lipson, Robert Kwiatkowski, Shuran Song, Yuhang Hu","submitted_at":"2021-05-11T16:02:32Z","abstract_excerpt":"In order to engage in complex social interaction, humans learn at a young age to infer what others see and cannot see from a different point-of-view, and learn to predict others' plans and behaviors. These abilities have been mostly lacking in robots, sometimes making them appear awkward and socially inept. Here we propose an end-to-end long-term visual prediction framework for robots to begin to acquire both these critical cognitive skills, known as Visual Perspective Taking (VPT) and Theory of Behavior (TOB). We demonstrate our approach in the context of visual hide-and-seek - a game that re"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2105.05145","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/2105.05145/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":"2105.05145","created_at":"2026-07-05T02:39:28.586690+00:00"},{"alias_kind":"arxiv_version","alias_value":"2105.05145v1","created_at":"2026-07-05T02:39:28.586690+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2105.05145","created_at":"2026-07-05T02:39:28.586690+00:00"},{"alias_kind":"pith_short_12","alias_value":"DCBPTJMS6WQW","created_at":"2026-07-05T02:39:28.586690+00:00"},{"alias_kind":"pith_short_16","alias_value":"DCBPTJMS6WQWYZAX","created_at":"2026-07-05T02:39:28.586690+00:00"},{"alias_kind":"pith_short_8","alias_value":"DCBPTJMS","created_at":"2026-07-05T02:39:28.586690+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/DCBPTJMS6WQWYZAXI53QRUMHH2","json":"https://pith.science/pith/DCBPTJMS6WQWYZAXI53QRUMHH2.json","graph_json":"https://pith.science/api/pith-number/DCBPTJMS6WQWYZAXI53QRUMHH2/graph.json","events_json":"https://pith.science/api/pith-number/DCBPTJMS6WQWYZAXI53QRUMHH2/events.json","paper":"https://pith.science/paper/DCBPTJMS"},"agent_actions":{"view_html":"https://pith.science/pith/DCBPTJMS6WQWYZAXI53QRUMHH2","download_json":"https://pith.science/pith/DCBPTJMS6WQWYZAXI53QRUMHH2.json","view_paper":"https://pith.science/paper/DCBPTJMS","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2105.05145&json=true","fetch_graph":"https://pith.science/api/pith-number/DCBPTJMS6WQWYZAXI53QRUMHH2/graph.json","fetch_events":"https://pith.science/api/pith-number/DCBPTJMS6WQWYZAXI53QRUMHH2/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/DCBPTJMS6WQWYZAXI53QRUMHH2/action/timestamp_anchor","attest_storage":"https://pith.science/pith/DCBPTJMS6WQWYZAXI53QRUMHH2/action/storage_attestation","attest_author":"https://pith.science/pith/DCBPTJMS6WQWYZAXI53QRUMHH2/action/author_attestation","sign_citation":"https://pith.science/pith/DCBPTJMS6WQWYZAXI53QRUMHH2/action/citation_signature","submit_replication":"https://pith.science/pith/DCBPTJMS6WQWYZAXI53QRUMHH2/action/replication_record"}},"created_at":"2026-07-05T02:39:28.586690+00:00","updated_at":"2026-07-05T02:39:28.586690+00:00"}