{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:GUSJ2ND76YIXAXIR3LGPRC5OHJ","short_pith_number":"pith:GUSJ2ND7","canonical_record":{"source":{"id":"1906.11407","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-06-27T01:39:51Z","cross_cats_sorted":["cs.RO"],"title_canon_sha256":"b416bc7872bc03f2c3ab1f50b4cb9ae57a4e1fc771ef66281019007eba846f35","abstract_canon_sha256":"ac352d5c5df01bf6c80d8230431a0b56836f89a28fe355c0bcc38cf12bea27bb"},"schema_version":"1.0"},"canonical_sha256":"35249d347ff611705d11daccf88bae3a4da69841f354664663d5c9d45f636689","source":{"kind":"arxiv","id":"1906.11407","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.11407","created_at":"2026-05-17T23:42:07Z"},{"alias_kind":"arxiv_version","alias_value":"1906.11407v1","created_at":"2026-05-17T23:42:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.11407","created_at":"2026-05-17T23:42:07Z"},{"alias_kind":"pith_short_12","alias_value":"GUSJ2ND76YIX","created_at":"2026-05-18T12:33:18Z"},{"alias_kind":"pith_short_16","alias_value":"GUSJ2ND76YIXAXIR","created_at":"2026-05-18T12:33:18Z"},{"alias_kind":"pith_short_8","alias_value":"GUSJ2ND7","created_at":"2026-05-18T12:33:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:GUSJ2ND76YIXAXIR3LGPRC5OHJ","target":"record","payload":{"canonical_record":{"source":{"id":"1906.11407","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-06-27T01:39:51Z","cross_cats_sorted":["cs.RO"],"title_canon_sha256":"b416bc7872bc03f2c3ab1f50b4cb9ae57a4e1fc771ef66281019007eba846f35","abstract_canon_sha256":"ac352d5c5df01bf6c80d8230431a0b56836f89a28fe355c0bcc38cf12bea27bb"},"schema_version":"1.0"},"canonical_sha256":"35249d347ff611705d11daccf88bae3a4da69841f354664663d5c9d45f636689","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:42:07.231152Z","signature_b64":"zvbrTi4PFH4S6ZRGvc+EU5eF+7QXWPJHTXTKFqXE3lS02LEfIeoZ7B8gL3KTj215FSpgDhwgOjxGRgxjUGIdBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"35249d347ff611705d11daccf88bae3a4da69841f354664663d5c9d45f636689","last_reissued_at":"2026-05-17T23:42:07.230599Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:42:07.230599Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1906.11407","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":"2026-05-17T23:42:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oF7w7aw+gHcpOd6A3ujwfRU4bufxCpK4YD3PqLOUHXTdHxP8uIiMNylMSkjRtGQvh9o3M//llegL2DS8NAtLAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T22:38:34.655772Z"},"content_sha256":"fd42ad88ae72cb6fa1db91036567f866cc410485b26fb4ca07a2039cd2a91cdc","schema_version":"1.0","event_id":"sha256:fd42ad88ae72cb6fa1db91036567f866cc410485b26fb4ca07a2039cd2a91cdc"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:GUSJ2ND76YIXAXIR3LGPRC5OHJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Emergence of Exploratory Look-Around Behaviors through Active Observation Completion","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.RO"],"primary_cat":"cs.CV","authors_text":"Dinesh Jayaraman, Kristen Grauman, Santhosh K. Ramakrishnan","submitted_at":"2019-06-27T01:39:51Z","abstract_excerpt":"Standard computer vision systems assume access to intelligently captured inputs (e.g., photos from a human photographer), yet autonomously capturing good observations is a major challenge in itself. We address the problem of learning to look around: how can an agent learn to acquire informative visual observations? We propose a reinforcement learning solution, where the agent is rewarded for reducing its uncertainty about the unobserved portions of its environment. Specifically, the agent is trained to select a short sequence of glimpses after which it must infer the appearance of its full env"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.11407","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":""},"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":"2026-05-17T23:42:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZOp0KTNZDQTRVzhzqBxl7HjnZfLBSbLwdd08C5Q3Mwn7JY9WyCSi0pkn2VSt27IQQ3NXiCL/Fn6aXkcRdFYHCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T22:38:34.656395Z"},"content_sha256":"14ce3b8b211fc63710613754e860c9e3dfa91e64239c5ce6749ad96fbe300dfa","schema_version":"1.0","event_id":"sha256:14ce3b8b211fc63710613754e860c9e3dfa91e64239c5ce6749ad96fbe300dfa"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GUSJ2ND76YIXAXIR3LGPRC5OHJ/bundle.json","state_url":"https://pith.science/pith/GUSJ2ND76YIXAXIR3LGPRC5OHJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GUSJ2ND76YIXAXIR3LGPRC5OHJ/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":"2026-05-27T22:38:34Z","links":{"resolver":"https://pith.science/pith/GUSJ2ND76YIXAXIR3LGPRC5OHJ","bundle":"https://pith.science/pith/GUSJ2ND76YIXAXIR3LGPRC5OHJ/bundle.json","state":"https://pith.science/pith/GUSJ2ND76YIXAXIR3LGPRC5OHJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GUSJ2ND76YIXAXIR3LGPRC5OHJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:GUSJ2ND76YIXAXIR3LGPRC5OHJ","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":"ac352d5c5df01bf6c80d8230431a0b56836f89a28fe355c0bcc38cf12bea27bb","cross_cats_sorted":["cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-06-27T01:39:51Z","title_canon_sha256":"b416bc7872bc03f2c3ab1f50b4cb9ae57a4e1fc771ef66281019007eba846f35"},"schema_version":"1.0","source":{"id":"1906.11407","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.11407","created_at":"2026-05-17T23:42:07Z"},{"alias_kind":"arxiv_version","alias_value":"1906.11407v1","created_at":"2026-05-17T23:42:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.11407","created_at":"2026-05-17T23:42:07Z"},{"alias_kind":"pith_short_12","alias_value":"GUSJ2ND76YIX","created_at":"2026-05-18T12:33:18Z"},{"alias_kind":"pith_short_16","alias_value":"GUSJ2ND76YIXAXIR","created_at":"2026-05-18T12:33:18Z"},{"alias_kind":"pith_short_8","alias_value":"GUSJ2ND7","created_at":"2026-05-18T12:33:18Z"}],"graph_snapshots":[{"event_id":"sha256:14ce3b8b211fc63710613754e860c9e3dfa91e64239c5ce6749ad96fbe300dfa","target":"graph","created_at":"2026-05-17T23:42:07Z","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"},"paper":{"abstract_excerpt":"Standard computer vision systems assume access to intelligently captured inputs (e.g., photos from a human photographer), yet autonomously capturing good observations is a major challenge in itself. We address the problem of learning to look around: how can an agent learn to acquire informative visual observations? We propose a reinforcement learning solution, where the agent is rewarded for reducing its uncertainty about the unobserved portions of its environment. Specifically, the agent is trained to select a short sequence of glimpses after which it must infer the appearance of its full env","authors_text":"Dinesh Jayaraman, Kristen Grauman, Santhosh K. Ramakrishnan","cross_cats":["cs.RO"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-06-27T01:39:51Z","title":"Emergence of Exploratory Look-Around Behaviors through Active Observation Completion"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.11407","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:fd42ad88ae72cb6fa1db91036567f866cc410485b26fb4ca07a2039cd2a91cdc","target":"record","created_at":"2026-05-17T23:42:07Z","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":"ac352d5c5df01bf6c80d8230431a0b56836f89a28fe355c0bcc38cf12bea27bb","cross_cats_sorted":["cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-06-27T01:39:51Z","title_canon_sha256":"b416bc7872bc03f2c3ab1f50b4cb9ae57a4e1fc771ef66281019007eba846f35"},"schema_version":"1.0","source":{"id":"1906.11407","kind":"arxiv","version":1}},"canonical_sha256":"35249d347ff611705d11daccf88bae3a4da69841f354664663d5c9d45f636689","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"35249d347ff611705d11daccf88bae3a4da69841f354664663d5c9d45f636689","first_computed_at":"2026-05-17T23:42:07.230599Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:42:07.230599Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zvbrTi4PFH4S6ZRGvc+EU5eF+7QXWPJHTXTKFqXE3lS02LEfIeoZ7B8gL3KTj215FSpgDhwgOjxGRgxjUGIdBg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:42:07.231152Z","signed_message":"canonical_sha256_bytes"},"source_id":"1906.11407","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fd42ad88ae72cb6fa1db91036567f866cc410485b26fb4ca07a2039cd2a91cdc","sha256:14ce3b8b211fc63710613754e860c9e3dfa91e64239c5ce6749ad96fbe300dfa"],"state_sha256":"6f97d1620ebaa5914db03cf3ae0d41050ccc670c3199d9243f5002918229e676"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fvUKvQQRmufWDoshM7ny8b0pP/dsiTscc/T2kuRehOGk1f4Smj8J2zNCdRCDdCIx156BpNHwV9dldquHe6OGBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-27T22:38:34.660004Z","bundle_sha256":"7f8ce43394704bc43207bf9477d6ffb54d43d4c2a8c9e80d8e7c84e582bfa8dd"}}