{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:SM3F73CGIJF5SORKLV4QQINC2J","short_pith_number":"pith:SM3F73CG","canonical_record":{"source":{"id":"1807.11010","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-07-29T06:32:42Z","cross_cats_sorted":[],"title_canon_sha256":"8a8874d319a480a54011318f9f59be23025f5b192b726c318e35818b2b9af30b","abstract_canon_sha256":"3488424aab3a6cd193910392a7472d9a62c8919fdaa6aacc85c01de8f82c55c4"},"schema_version":"1.0"},"canonical_sha256":"93365fec46424bd93a2a5d790821a2d25462d0b60e5054fc1a5994481ba5613f","source":{"kind":"arxiv","id":"1807.11010","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1807.11010","created_at":"2026-05-18T00:09:33Z"},{"alias_kind":"arxiv_version","alias_value":"1807.11010v1","created_at":"2026-05-18T00:09:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1807.11010","created_at":"2026-05-18T00:09:33Z"},{"alias_kind":"pith_short_12","alias_value":"SM3F73CGIJF5","created_at":"2026-05-18T12:32:53Z"},{"alias_kind":"pith_short_16","alias_value":"SM3F73CGIJF5SORK","created_at":"2026-05-18T12:32:53Z"},{"alias_kind":"pith_short_8","alias_value":"SM3F73CG","created_at":"2026-05-18T12:32:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:SM3F73CGIJF5SORKLV4QQINC2J","target":"record","payload":{"canonical_record":{"source":{"id":"1807.11010","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-07-29T06:32:42Z","cross_cats_sorted":[],"title_canon_sha256":"8a8874d319a480a54011318f9f59be23025f5b192b726c318e35818b2b9af30b","abstract_canon_sha256":"3488424aab3a6cd193910392a7472d9a62c8919fdaa6aacc85c01de8f82c55c4"},"schema_version":"1.0"},"canonical_sha256":"93365fec46424bd93a2a5d790821a2d25462d0b60e5054fc1a5994481ba5613f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:09:33.198476Z","signature_b64":"QgxCdI3140jU0oYDEKV9Uf+cObfRdHj7vO+JZyDWtaTy3YchbQsSPV+RFgmJnsU1pC7y/GDtLuNvheyh34puBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"93365fec46424bd93a2a5d790821a2d25462d0b60e5054fc1a5994481ba5613f","last_reissued_at":"2026-05-18T00:09:33.198037Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:09:33.198037Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1807.11010","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":"2026-05-18T00:09:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fkDyNJjs/xHACIZd3lNc/aWpwsFhsmSlxXcXXW+xi7Vx+vlwqEn06XybvO7sscHkBk610nH0XxIoQZOr6x2lDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-06T17:12:28.962581Z"},"content_sha256":"bacc2005851167b504f4ea4284edb345a25b914a7f185c5a7f7ba3edfe14513a","schema_version":"1.0","event_id":"sha256:bacc2005851167b504f4ea4284edb345a25b914a7f185c5a7f7ba3edfe14513a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:SM3F73CGIJF5SORKLV4QQINC2J","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Sidekick Policy Learning for Active Visual Exploration","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Kristen Grauman, Santhosh K. Ramakrishnan","submitted_at":"2018-07-29T06:32:42Z","abstract_excerpt":"We consider an active visual exploration scenario, where an agent must intelligently select its camera motions to efficiently reconstruct the full environment from only a limited set of narrow field-of-view glimpses. While the agent has full observability of the environment during training, it has only partial observability once deployed, being constrained by what portions it has seen and what camera motions are permissible. We introduce sidekick policy learning to capitalize on this imbalance of observability. The main idea is a preparatory learning phase that attempts simplified versions of "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1807.11010","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":"2026-05-18T00:09:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fK6XXR9D7+3CBYAvU8dUvA0r53JRODSwBXnVM8+lrQM5UYPDkg/x5+dhCNeI7d9kc5FQb2qG63Dc9F6RnKLLAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-06T17:12:28.963289Z"},"content_sha256":"193e9fe3b8a0cb225d4c8893d67f04af10d3f6d2b07bb957e139cc9fe8673c9e","schema_version":"1.0","event_id":"sha256:193e9fe3b8a0cb225d4c8893d67f04af10d3f6d2b07bb957e139cc9fe8673c9e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SM3F73CGIJF5SORKLV4QQINC2J/bundle.json","state_url":"https://pith.science/pith/SM3F73CGIJF5SORKLV4QQINC2J/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SM3F73CGIJF5SORKLV4QQINC2J/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":"2026-06-06T17:12:28Z","links":{"resolver":"https://pith.science/pith/SM3F73CGIJF5SORKLV4QQINC2J","bundle":"https://pith.science/pith/SM3F73CGIJF5SORKLV4QQINC2J/bundle.json","state":"https://pith.science/pith/SM3F73CGIJF5SORKLV4QQINC2J/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SM3F73CGIJF5SORKLV4QQINC2J/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:SM3F73CGIJF5SORKLV4QQINC2J","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":"3488424aab3a6cd193910392a7472d9a62c8919fdaa6aacc85c01de8f82c55c4","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-07-29T06:32:42Z","title_canon_sha256":"8a8874d319a480a54011318f9f59be23025f5b192b726c318e35818b2b9af30b"},"schema_version":"1.0","source":{"id":"1807.11010","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1807.11010","created_at":"2026-05-18T00:09:33Z"},{"alias_kind":"arxiv_version","alias_value":"1807.11010v1","created_at":"2026-05-18T00:09:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1807.11010","created_at":"2026-05-18T00:09:33Z"},{"alias_kind":"pith_short_12","alias_value":"SM3F73CGIJF5","created_at":"2026-05-18T12:32:53Z"},{"alias_kind":"pith_short_16","alias_value":"SM3F73CGIJF5SORK","created_at":"2026-05-18T12:32:53Z"},{"alias_kind":"pith_short_8","alias_value":"SM3F73CG","created_at":"2026-05-18T12:32:53Z"}],"graph_snapshots":[{"event_id":"sha256:193e9fe3b8a0cb225d4c8893d67f04af10d3f6d2b07bb957e139cc9fe8673c9e","target":"graph","created_at":"2026-05-18T00:09:33Z","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":"We consider an active visual exploration scenario, where an agent must intelligently select its camera motions to efficiently reconstruct the full environment from only a limited set of narrow field-of-view glimpses. While the agent has full observability of the environment during training, it has only partial observability once deployed, being constrained by what portions it has seen and what camera motions are permissible. We introduce sidekick policy learning to capitalize on this imbalance of observability. The main idea is a preparatory learning phase that attempts simplified versions of ","authors_text":"Kristen Grauman, Santhosh K. Ramakrishnan","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-07-29T06:32:42Z","title":"Sidekick Policy Learning for Active Visual Exploration"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1807.11010","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:bacc2005851167b504f4ea4284edb345a25b914a7f185c5a7f7ba3edfe14513a","target":"record","created_at":"2026-05-18T00:09:33Z","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":"3488424aab3a6cd193910392a7472d9a62c8919fdaa6aacc85c01de8f82c55c4","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-07-29T06:32:42Z","title_canon_sha256":"8a8874d319a480a54011318f9f59be23025f5b192b726c318e35818b2b9af30b"},"schema_version":"1.0","source":{"id":"1807.11010","kind":"arxiv","version":1}},"canonical_sha256":"93365fec46424bd93a2a5d790821a2d25462d0b60e5054fc1a5994481ba5613f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"93365fec46424bd93a2a5d790821a2d25462d0b60e5054fc1a5994481ba5613f","first_computed_at":"2026-05-18T00:09:33.198037Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:09:33.198037Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QgxCdI3140jU0oYDEKV9Uf+cObfRdHj7vO+JZyDWtaTy3YchbQsSPV+RFgmJnsU1pC7y/GDtLuNvheyh34puBg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:09:33.198476Z","signed_message":"canonical_sha256_bytes"},"source_id":"1807.11010","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bacc2005851167b504f4ea4284edb345a25b914a7f185c5a7f7ba3edfe14513a","sha256:193e9fe3b8a0cb225d4c8893d67f04af10d3f6d2b07bb957e139cc9fe8673c9e"],"state_sha256":"f9ec1ed6933cd879a1d6c11b17facfbf5dc958c477c79dc4833e63c1e64a24e4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dT5illWV6oQK6/GHepqX5xppwpGXotda2fQAydEGFxnMChNbCx4CU05hDLip3hh3sP+opwnOzIfjAS73DaOdBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-06T17:12:28.968695Z","bundle_sha256":"b205c30c1ef9c166162fd8edbb427401af3f060fb986fffc1d00f3e8d3da03c0"}}