{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:GOM7HXZ2PSPOMTTRGCILXGG75M","short_pith_number":"pith:GOM7HXZ2","canonical_record":{"source":{"id":"2011.00825","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-11-02T08:46:27Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"b564d0114afb9ec551f8031bb7ec0045f96930c2f218b681813ec340144f19ba","abstract_canon_sha256":"14c737549749667ab3ccbd0c3057ce4bc9bc219a09e8900eaac47a91983f6d7e"},"schema_version":"1.0"},"canonical_sha256":"3399f3df3a7c9ee64e713090bb98dfeb2caa1b493c50bd13c87973d0f02ee2a1","source":{"kind":"arxiv","id":"2011.00825","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2011.00825","created_at":"2026-07-05T01:48:20Z"},{"alias_kind":"arxiv_version","alias_value":"2011.00825v1","created_at":"2026-07-05T01:48:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2011.00825","created_at":"2026-07-05T01:48:20Z"},{"alias_kind":"pith_short_12","alias_value":"GOM7HXZ2PSPO","created_at":"2026-07-05T01:48:20Z"},{"alias_kind":"pith_short_16","alias_value":"GOM7HXZ2PSPOMTTR","created_at":"2026-07-05T01:48:20Z"},{"alias_kind":"pith_short_8","alias_value":"GOM7HXZ2","created_at":"2026-07-05T01:48:20Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:GOM7HXZ2PSPOMTTRGCILXGG75M","target":"record","payload":{"canonical_record":{"source":{"id":"2011.00825","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-11-02T08:46:27Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"b564d0114afb9ec551f8031bb7ec0045f96930c2f218b681813ec340144f19ba","abstract_canon_sha256":"14c737549749667ab3ccbd0c3057ce4bc9bc219a09e8900eaac47a91983f6d7e"},"schema_version":"1.0"},"canonical_sha256":"3399f3df3a7c9ee64e713090bb98dfeb2caa1b493c50bd13c87973d0f02ee2a1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:48:20.142267Z","signature_b64":"unBG6QaoYzyDCjmyYiGDn3FIvZ0/n41ECtZRFa9F9LwVj6WG9F90REg4/XpfAxKvbilJD28uPXBKzJWUt58uAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3399f3df3a7c9ee64e713090bb98dfeb2caa1b493c50bd13c87973d0f02ee2a1","last_reissued_at":"2026-07-05T01:48:20.141933Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:48:20.141933Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2011.00825","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":"2026-07-05T01:48:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Pdl0RCkZfZjXTqWCKBNCWwkQx3B5VZvmC17J0Eu0alRUjA0mXrt7VqUTfnmeNP3ijMOYxyqj5Ij/FneBnGi2Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T02:09:01.033922Z"},"content_sha256":"b16372672933bd52385ad3d062b9c0290c0f2c4d666e234c2c3b579464a34da2","schema_version":"1.0","event_id":"sha256:b16372672933bd52385ad3d062b9c0290c0f2c4d666e234c2c3b579464a34da2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:GOM7HXZ2PSPOMTTRGCILXGG75M","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Reinforcement Learning with Efficient Active Feature Acquisition","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Cheng Zhang, Haiyan Yin, Sebastian Tschiatschek, Sinno Jialin Pan, Yingzhen Li","submitted_at":"2020-11-02T08:46:27Z","abstract_excerpt":"Solving real-life sequential decision making problems under partial observability involves an exploration-exploitation problem. To be successful, an agent needs to efficiently gather valuable information about the state of the world for making rewarding decisions. However, in real-life, acquiring valuable information is often highly costly, e.g., in the medical domain, information acquisition might correspond to performing a medical test on a patient. This poses a significant challenge for the agent to perform optimally for the task while reducing the cost for information acquisition. In this "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2011.00825","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/2011.00825/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T01:48:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jGYnjY9oGiPs4ZVrFe4ab5CuyL+Jpv+mC0zT1B+Z98bPTL64b819GdYHjxEMDMVc2DJy/WHmb3fWdUeOnachCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T02:09:01.034457Z"},"content_sha256":"a990ad8af6736cf8c2f24afe5fa3a1bf95fad22c668770d74eb9da0bcb808625","schema_version":"1.0","event_id":"sha256:a990ad8af6736cf8c2f24afe5fa3a1bf95fad22c668770d74eb9da0bcb808625"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GOM7HXZ2PSPOMTTRGCILXGG75M/bundle.json","state_url":"https://pith.science/pith/GOM7HXZ2PSPOMTTRGCILXGG75M/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GOM7HXZ2PSPOMTTRGCILXGG75M/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":"2026-08-05T02:09:01Z","links":{"resolver":"https://pith.science/pith/GOM7HXZ2PSPOMTTRGCILXGG75M","bundle":"https://pith.science/pith/GOM7HXZ2PSPOMTTRGCILXGG75M/bundle.json","state":"https://pith.science/pith/GOM7HXZ2PSPOMTTRGCILXGG75M/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GOM7HXZ2PSPOMTTRGCILXGG75M/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:GOM7HXZ2PSPOMTTRGCILXGG75M","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":"14c737549749667ab3ccbd0c3057ce4bc9bc219a09e8900eaac47a91983f6d7e","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-11-02T08:46:27Z","title_canon_sha256":"b564d0114afb9ec551f8031bb7ec0045f96930c2f218b681813ec340144f19ba"},"schema_version":"1.0","source":{"id":"2011.00825","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2011.00825","created_at":"2026-07-05T01:48:20Z"},{"alias_kind":"arxiv_version","alias_value":"2011.00825v1","created_at":"2026-07-05T01:48:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2011.00825","created_at":"2026-07-05T01:48:20Z"},{"alias_kind":"pith_short_12","alias_value":"GOM7HXZ2PSPO","created_at":"2026-07-05T01:48:20Z"},{"alias_kind":"pith_short_16","alias_value":"GOM7HXZ2PSPOMTTR","created_at":"2026-07-05T01:48:20Z"},{"alias_kind":"pith_short_8","alias_value":"GOM7HXZ2","created_at":"2026-07-05T01:48:20Z"}],"graph_snapshots":[{"event_id":"sha256:a990ad8af6736cf8c2f24afe5fa3a1bf95fad22c668770d74eb9da0bcb808625","target":"graph","created_at":"2026-07-05T01:48:20Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2011.00825/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Solving real-life sequential decision making problems under partial observability involves an exploration-exploitation problem. To be successful, an agent needs to efficiently gather valuable information about the state of the world for making rewarding decisions. However, in real-life, acquiring valuable information is often highly costly, e.g., in the medical domain, information acquisition might correspond to performing a medical test on a patient. This poses a significant challenge for the agent to perform optimally for the task while reducing the cost for information acquisition. In this ","authors_text":"Cheng Zhang, Haiyan Yin, Sebastian Tschiatschek, Sinno Jialin Pan, Yingzhen Li","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-11-02T08:46:27Z","title":"Reinforcement Learning with Efficient Active Feature Acquisition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2011.00825","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:b16372672933bd52385ad3d062b9c0290c0f2c4d666e234c2c3b579464a34da2","target":"record","created_at":"2026-07-05T01:48:20Z","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":"14c737549749667ab3ccbd0c3057ce4bc9bc219a09e8900eaac47a91983f6d7e","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-11-02T08:46:27Z","title_canon_sha256":"b564d0114afb9ec551f8031bb7ec0045f96930c2f218b681813ec340144f19ba"},"schema_version":"1.0","source":{"id":"2011.00825","kind":"arxiv","version":1}},"canonical_sha256":"3399f3df3a7c9ee64e713090bb98dfeb2caa1b493c50bd13c87973d0f02ee2a1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3399f3df3a7c9ee64e713090bb98dfeb2caa1b493c50bd13c87973d0f02ee2a1","first_computed_at":"2026-07-05T01:48:20.141933Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:48:20.141933Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"unBG6QaoYzyDCjmyYiGDn3FIvZ0/n41ECtZRFa9F9LwVj6WG9F90REg4/XpfAxKvbilJD28uPXBKzJWUt58uAw==","signature_status":"signed_v1","signed_at":"2026-07-05T01:48:20.142267Z","signed_message":"canonical_sha256_bytes"},"source_id":"2011.00825","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b16372672933bd52385ad3d062b9c0290c0f2c4d666e234c2c3b579464a34da2","sha256:a990ad8af6736cf8c2f24afe5fa3a1bf95fad22c668770d74eb9da0bcb808625"],"state_sha256":"c33d37d20a9e4cdded98b682a5a2c13dd039d6db4b34101dc87cc291331ef5b5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BGzZftNNvo75G/U9DY4hZyvXtNfFVo6381CEBtVqwLP8ykfxKklBhbAWvszRfRssemHDPyjkRMyWxFEeN85QDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T02:09:01.039238Z","bundle_sha256":"c09504d008f644a1114a68c5acc8c63c4aeac4e303fd855981b32fa73506123e"}}