{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:QN2HUCVOLBF2JUKH5UFRSMFZ4E","short_pith_number":"pith:QN2HUCVO","canonical_record":{"source":{"id":"2210.02019","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2022-10-05T04:41:20Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"53b783b2b2a991f98b4972910793da1124aac54a370d35513c52a7147f993445","abstract_canon_sha256":"2ea44a114a5eb8c5cdf0d07464f2b19a3692c36177f7a91a05a65193b75041fe"},"schema_version":"1.0"},"canonical_sha256":"83747a0aae584ba4d147ed0b1930b9e11c3aaf677586380a3bc45459dc834437","source":{"kind":"arxiv","id":"2210.02019","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.02019","created_at":"2026-07-05T05:03:42Z"},{"alias_kind":"arxiv_version","alias_value":"2210.02019v1","created_at":"2026-07-05T05:03:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.02019","created_at":"2026-07-05T05:03:42Z"},{"alias_kind":"pith_short_12","alias_value":"QN2HUCVOLBF2","created_at":"2026-07-05T05:03:42Z"},{"alias_kind":"pith_short_16","alias_value":"QN2HUCVOLBF2JUKH","created_at":"2026-07-05T05:03:42Z"},{"alias_kind":"pith_short_8","alias_value":"QN2HUCVO","created_at":"2026-07-05T05:03:42Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:QN2HUCVOLBF2JUKH5UFRSMFZ4E","target":"record","payload":{"canonical_record":{"source":{"id":"2210.02019","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2022-10-05T04:41:20Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"53b783b2b2a991f98b4972910793da1124aac54a370d35513c52a7147f993445","abstract_canon_sha256":"2ea44a114a5eb8c5cdf0d07464f2b19a3692c36177f7a91a05a65193b75041fe"},"schema_version":"1.0"},"canonical_sha256":"83747a0aae584ba4d147ed0b1930b9e11c3aaf677586380a3bc45459dc834437","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:03:42.319462Z","signature_b64":"/HF+f/l8TCHcZNVoDTEBvVrc6soxJlZJ0PHdM/uLwXZasjn3rWn+ztu4E8sCV1Acn3Gu743ecu8W4r7pjdxNDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"83747a0aae584ba4d147ed0b1930b9e11c3aaf677586380a3bc45459dc834437","last_reissued_at":"2026-07-05T05:03:42.319002Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:03:42.319002Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2210.02019","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":"2026-07-05T05:03:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3UiWZ6mUIVWPWe3SuMp8ISJxg6LSyuoHizhuCRXeX8Jw27/tTzPMFjlTyEGNq3KJs/udN6qEKUuwjVrShoOLCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T14:43:46.229097Z"},"content_sha256":"2a2d79e7f0d0dfc9c8639618049ee53dbcea0f5a3f09a4c81de0731692638dce","schema_version":"1.0","event_id":"sha256:2a2d79e7f0d0dfc9c8639618049ee53dbcea0f5a3f09a4c81de0731692638dce"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:QN2HUCVOLBF2JUKH5UFRSMFZ4E","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Atari-5: Distilling the Arcade Learning Environment down to Five Games","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.AI","authors_text":"Marcus Hutter, Matthew Aitchison, Penny Sweetser","submitted_at":"2022-10-05T04:41:20Z","abstract_excerpt":"The Arcade Learning Environment (ALE) has become an essential benchmark for assessing the performance of reinforcement learning algorithms. However, the computational cost of generating results on the entire 57-game dataset limits ALE's use and makes the reproducibility of many results infeasible. We propose a novel solution to this problem in the form of a principled methodology for selecting small but representative subsets of environments within a benchmark suite. We applied our method to identify a subset of five ALE games, called Atari-5, which produces 57-game median score estimates with"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.02019","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/2210.02019/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":"2026-07-05T05:03:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eYYgbODeJKYhoM8oaf80zdc6VrI3tFgQqFUZRY2GBVPpyw8IiwYG137gEznAe8QjY3MA7FHD+2s0k71EDt+TAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T14:43:46.229602Z"},"content_sha256":"34cc42d80364e70f31b65216270be93e7673b438a248904aeccc44127468fb17","schema_version":"1.0","event_id":"sha256:34cc42d80364e70f31b65216270be93e7673b438a248904aeccc44127468fb17"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QN2HUCVOLBF2JUKH5UFRSMFZ4E/bundle.json","state_url":"https://pith.science/pith/QN2HUCVOLBF2JUKH5UFRSMFZ4E/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QN2HUCVOLBF2JUKH5UFRSMFZ4E/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":"2026-08-18T14:43:46Z","links":{"resolver":"https://pith.science/pith/QN2HUCVOLBF2JUKH5UFRSMFZ4E","bundle":"https://pith.science/pith/QN2HUCVOLBF2JUKH5UFRSMFZ4E/bundle.json","state":"https://pith.science/pith/QN2HUCVOLBF2JUKH5UFRSMFZ4E/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QN2HUCVOLBF2JUKH5UFRSMFZ4E/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:QN2HUCVOLBF2JUKH5UFRSMFZ4E","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":"2ea44a114a5eb8c5cdf0d07464f2b19a3692c36177f7a91a05a65193b75041fe","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2022-10-05T04:41:20Z","title_canon_sha256":"53b783b2b2a991f98b4972910793da1124aac54a370d35513c52a7147f993445"},"schema_version":"1.0","source":{"id":"2210.02019","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.02019","created_at":"2026-07-05T05:03:42Z"},{"alias_kind":"arxiv_version","alias_value":"2210.02019v1","created_at":"2026-07-05T05:03:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.02019","created_at":"2026-07-05T05:03:42Z"},{"alias_kind":"pith_short_12","alias_value":"QN2HUCVOLBF2","created_at":"2026-07-05T05:03:42Z"},{"alias_kind":"pith_short_16","alias_value":"QN2HUCVOLBF2JUKH","created_at":"2026-07-05T05:03:42Z"},{"alias_kind":"pith_short_8","alias_value":"QN2HUCVO","created_at":"2026-07-05T05:03:42Z"}],"graph_snapshots":[{"event_id":"sha256:34cc42d80364e70f31b65216270be93e7673b438a248904aeccc44127468fb17","target":"graph","created_at":"2026-07-05T05:03:42Z","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/2210.02019/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The Arcade Learning Environment (ALE) has become an essential benchmark for assessing the performance of reinforcement learning algorithms. However, the computational cost of generating results on the entire 57-game dataset limits ALE's use and makes the reproducibility of many results infeasible. We propose a novel solution to this problem in the form of a principled methodology for selecting small but representative subsets of environments within a benchmark suite. We applied our method to identify a subset of five ALE games, called Atari-5, which produces 57-game median score estimates with","authors_text":"Marcus Hutter, Matthew Aitchison, Penny Sweetser","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2022-10-05T04:41:20Z","title":"Atari-5: Distilling the Arcade Learning Environment down to Five Games"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.02019","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":"sha256:2a2d79e7f0d0dfc9c8639618049ee53dbcea0f5a3f09a4c81de0731692638dce","target":"record","created_at":"2026-07-05T05:03:42Z","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":"2ea44a114a5eb8c5cdf0d07464f2b19a3692c36177f7a91a05a65193b75041fe","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2022-10-05T04:41:20Z","title_canon_sha256":"53b783b2b2a991f98b4972910793da1124aac54a370d35513c52a7147f993445"},"schema_version":"1.0","source":{"id":"2210.02019","kind":"arxiv","version":1}},"canonical_sha256":"83747a0aae584ba4d147ed0b1930b9e11c3aaf677586380a3bc45459dc834437","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"83747a0aae584ba4d147ed0b1930b9e11c3aaf677586380a3bc45459dc834437","first_computed_at":"2026-07-05T05:03:42.319002Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:03:42.319002Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/HF+f/l8TCHcZNVoDTEBvVrc6soxJlZJ0PHdM/uLwXZasjn3rWn+ztu4E8sCV1Acn3Gu743ecu8W4r7pjdxNDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T05:03:42.319462Z","signed_message":"canonical_sha256_bytes"},"source_id":"2210.02019","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2a2d79e7f0d0dfc9c8639618049ee53dbcea0f5a3f09a4c81de0731692638dce","sha256:34cc42d80364e70f31b65216270be93e7673b438a248904aeccc44127468fb17"],"state_sha256":"230866503f0437c3564ae0000c66f0e6db0c4ffdaa05584a28f325451b5bb056"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gHuHETgN5U+qWngl1WjzivX8wUJFU/jSVu5b9TnDncuvfJPvJbPF4mqeCE6rXKylhDmrl+HgUO6h301A7q3qDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T14:43:46.234661Z","bundle_sha256":"825c98b28a806e9b6ed0f4a46a010bcce99b3fbc32aeb6a16e0af449a5ee5c52"}}