{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2013:XQDVPJ6ZRY3ZFPH6Y6YCUK45OE","short_pith_number":"pith:XQDVPJ6Z","canonical_record":{"source":{"id":"1308.0702","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2013-08-03T14:40:36Z","cross_cats_sorted":[],"title_canon_sha256":"c45e4d24b18d238a71eea4f15bf200fd9347ea4a7ca559258589377b73079a15","abstract_canon_sha256":"52b1011e7760c2722d61a3536dd5217eccdf3fb33fcdcc7ca466b900d54f957d"},"schema_version":"1.0"},"canonical_sha256":"bc0757a7d98e3792bcfec7b02a2b9d7102ce6328815cb7b20a5fee42ece01fcc","source":{"kind":"arxiv","id":"1308.0702","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1308.0702","created_at":"2026-05-18T03:16:48Z"},{"alias_kind":"arxiv_version","alias_value":"1308.0702v1","created_at":"2026-05-18T03:16:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1308.0702","created_at":"2026-05-18T03:16:48Z"},{"alias_kind":"pith_short_12","alias_value":"XQDVPJ6ZRY3Z","created_at":"2026-05-18T12:28:06Z"},{"alias_kind":"pith_short_16","alias_value":"XQDVPJ6ZRY3ZFPH6","created_at":"2026-05-18T12:28:06Z"},{"alias_kind":"pith_short_8","alias_value":"XQDVPJ6Z","created_at":"2026-05-18T12:28:06Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2013:XQDVPJ6ZRY3ZFPH6Y6YCUK45OE","target":"record","payload":{"canonical_record":{"source":{"id":"1308.0702","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2013-08-03T14:40:36Z","cross_cats_sorted":[],"title_canon_sha256":"c45e4d24b18d238a71eea4f15bf200fd9347ea4a7ca559258589377b73079a15","abstract_canon_sha256":"52b1011e7760c2722d61a3536dd5217eccdf3fb33fcdcc7ca466b900d54f957d"},"schema_version":"1.0"},"canonical_sha256":"bc0757a7d98e3792bcfec7b02a2b9d7102ce6328815cb7b20a5fee42ece01fcc","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:16:48.473856Z","signature_b64":"RH0/MbBop218cUSxU8FZfMz33Z64A5NCELSQv7mVfOGSvAVoXXSmiHHyYPeGud/X5xjem/J5+64CFOqQovNHDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bc0757a7d98e3792bcfec7b02a2b9d7102ce6328815cb7b20a5fee42ece01fcc","last_reissued_at":"2026-05-18T03:16:48.473176Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:16:48.473176Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1308.0702","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":"2026-05-18T03:16:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"M22i6EBAIUwG3gZf35iERJEvgM5djkoQ3s6hJ7sFTTYxTVFyfUAje5rfXiD9f78Pzq2KQt+DPGwS2KFDdK6QDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T06:30:08.956290Z"},"content_sha256":"59ca87a5cacf0df8c601908f98234f2e86f1e79e72c0974dff9b609a3c1b588e","schema_version":"1.0","event_id":"sha256:59ca87a5cacf0df8c601908f98234f2e86f1e79e72c0974dff9b609a3c1b588e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2013:XQDVPJ6ZRY3ZFPH6Y6YCUK45OE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Universal Empathy and Ethical Bias for Artificial General Intelligence","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Alexey Potapov, Sergey Rodionov","submitted_at":"2013-08-03T14:40:36Z","abstract_excerpt":"Rational agents are usually built to maximize rewards. However, AGI agents can find undesirable ways of maximizing any prior reward function. Therefore value learning is crucial for safe AGI. We assume that generalized states of the world are valuable - not rewards themselves, and propose an extension of AIXI, in which rewards are used only to bootstrap hierarchical value learning. The modified AIXI agent is considered in the multi-agent environment, where other agents can be either humans or other \"mature\" agents, which values should be revealed and adopted by the \"infant\" AGI agent. General "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1308.0702","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":"2026-05-18T03:16:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KyojmjCn+ZudWrQonaPEJa+MsgwX91Vvq4tXIYWhrPkMdF2rLidEkWFtkVZY1UhcoI+rxj0NoLMaeyt9EeUUAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T06:30:08.956658Z"},"content_sha256":"73d577c752d66ec99463c242a79938da83fe98cf7b3b2af2b89de527b1757395","schema_version":"1.0","event_id":"sha256:73d577c752d66ec99463c242a79938da83fe98cf7b3b2af2b89de527b1757395"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XQDVPJ6ZRY3ZFPH6Y6YCUK45OE/bundle.json","state_url":"https://pith.science/pith/XQDVPJ6ZRY3ZFPH6Y6YCUK45OE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XQDVPJ6ZRY3ZFPH6Y6YCUK45OE/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":"2026-05-28T06:30:08Z","links":{"resolver":"https://pith.science/pith/XQDVPJ6ZRY3ZFPH6Y6YCUK45OE","bundle":"https://pith.science/pith/XQDVPJ6ZRY3ZFPH6Y6YCUK45OE/bundle.json","state":"https://pith.science/pith/XQDVPJ6ZRY3ZFPH6Y6YCUK45OE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XQDVPJ6ZRY3ZFPH6Y6YCUK45OE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2013:XQDVPJ6ZRY3ZFPH6Y6YCUK45OE","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":"52b1011e7760c2722d61a3536dd5217eccdf3fb33fcdcc7ca466b900d54f957d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2013-08-03T14:40:36Z","title_canon_sha256":"c45e4d24b18d238a71eea4f15bf200fd9347ea4a7ca559258589377b73079a15"},"schema_version":"1.0","source":{"id":"1308.0702","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1308.0702","created_at":"2026-05-18T03:16:48Z"},{"alias_kind":"arxiv_version","alias_value":"1308.0702v1","created_at":"2026-05-18T03:16:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1308.0702","created_at":"2026-05-18T03:16:48Z"},{"alias_kind":"pith_short_12","alias_value":"XQDVPJ6ZRY3Z","created_at":"2026-05-18T12:28:06Z"},{"alias_kind":"pith_short_16","alias_value":"XQDVPJ6ZRY3ZFPH6","created_at":"2026-05-18T12:28:06Z"},{"alias_kind":"pith_short_8","alias_value":"XQDVPJ6Z","created_at":"2026-05-18T12:28:06Z"}],"graph_snapshots":[{"event_id":"sha256:73d577c752d66ec99463c242a79938da83fe98cf7b3b2af2b89de527b1757395","target":"graph","created_at":"2026-05-18T03:16:48Z","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":"Rational agents are usually built to maximize rewards. However, AGI agents can find undesirable ways of maximizing any prior reward function. Therefore value learning is crucial for safe AGI. We assume that generalized states of the world are valuable - not rewards themselves, and propose an extension of AIXI, in which rewards are used only to bootstrap hierarchical value learning. The modified AIXI agent is considered in the multi-agent environment, where other agents can be either humans or other \"mature\" agents, which values should be revealed and adopted by the \"infant\" AGI agent. General ","authors_text":"Alexey Potapov, Sergey Rodionov","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2013-08-03T14:40:36Z","title":"Universal Empathy and Ethical Bias for Artificial General Intelligence"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1308.0702","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":"sha256:59ca87a5cacf0df8c601908f98234f2e86f1e79e72c0974dff9b609a3c1b588e","target":"record","created_at":"2026-05-18T03:16:48Z","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":"52b1011e7760c2722d61a3536dd5217eccdf3fb33fcdcc7ca466b900d54f957d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2013-08-03T14:40:36Z","title_canon_sha256":"c45e4d24b18d238a71eea4f15bf200fd9347ea4a7ca559258589377b73079a15"},"schema_version":"1.0","source":{"id":"1308.0702","kind":"arxiv","version":1}},"canonical_sha256":"bc0757a7d98e3792bcfec7b02a2b9d7102ce6328815cb7b20a5fee42ece01fcc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bc0757a7d98e3792bcfec7b02a2b9d7102ce6328815cb7b20a5fee42ece01fcc","first_computed_at":"2026-05-18T03:16:48.473176Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:16:48.473176Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"RH0/MbBop218cUSxU8FZfMz33Z64A5NCELSQv7mVfOGSvAVoXXSmiHHyYPeGud/X5xjem/J5+64CFOqQovNHDg==","signature_status":"signed_v1","signed_at":"2026-05-18T03:16:48.473856Z","signed_message":"canonical_sha256_bytes"},"source_id":"1308.0702","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:59ca87a5cacf0df8c601908f98234f2e86f1e79e72c0974dff9b609a3c1b588e","sha256:73d577c752d66ec99463c242a79938da83fe98cf7b3b2af2b89de527b1757395"],"state_sha256":"92362acb0a7606204d7e1f9c98cc6b769606ec6f888cbe5d4e3d3d8abe23a676"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FFJ/2mGiwjLHJM4ZTyznYUfHe4KMBZgL+YMW2wTD0LbQQ/EyTeQKLUWsKbz/PnEjF5Bgey2IWTBGuIqLNOHBBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-28T06:30:08.958629Z","bundle_sha256":"8638c4ee53de912a4faa0d7fb5bb78280b3991f0f531ffaff496e3ec012fb8bd"}}