{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:OHHXIAZSJGOTUGDQIN2DEE4SMK","short_pith_number":"pith:OHHXIAZS","canonical_record":{"source":{"id":"1801.03354","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2018-01-10T12:54:00Z","cross_cats_sorted":[],"title_canon_sha256":"a320170744affa9f1e7aa7bab0adc9fec36bc33d744e824eee532f58865c96f1","abstract_canon_sha256":"1bda5f581abeedaf3ad5ffb047755c62dfbdd8f0f878da8663388e321a3e2653"},"schema_version":"1.0"},"canonical_sha256":"71cf740332499d3a1870437432139262b95976f21181d25f1c48dbc5e38d99b6","source":{"kind":"arxiv","id":"1801.03354","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1801.03354","created_at":"2026-05-18T00:26:17Z"},{"alias_kind":"arxiv_version","alias_value":"1801.03354v1","created_at":"2026-05-18T00:26:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1801.03354","created_at":"2026-05-18T00:26:17Z"},{"alias_kind":"pith_short_12","alias_value":"OHHXIAZSJGOT","created_at":"2026-05-18T12:32:43Z"},{"alias_kind":"pith_short_16","alias_value":"OHHXIAZSJGOTUGDQ","created_at":"2026-05-18T12:32:43Z"},{"alias_kind":"pith_short_8","alias_value":"OHHXIAZS","created_at":"2026-05-18T12:32:43Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:OHHXIAZSJGOTUGDQIN2DEE4SMK","target":"record","payload":{"canonical_record":{"source":{"id":"1801.03354","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2018-01-10T12:54:00Z","cross_cats_sorted":[],"title_canon_sha256":"a320170744affa9f1e7aa7bab0adc9fec36bc33d744e824eee532f58865c96f1","abstract_canon_sha256":"1bda5f581abeedaf3ad5ffb047755c62dfbdd8f0f878da8663388e321a3e2653"},"schema_version":"1.0"},"canonical_sha256":"71cf740332499d3a1870437432139262b95976f21181d25f1c48dbc5e38d99b6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:26:17.312330Z","signature_b64":"tXVzRc8GcOyC85sGV/Fctk+tfx29NJrZb3FZPDHpJDU7paWqmbEwNtM+vzuIrmkirHvAjbonxRFTOkYDZB1mDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"71cf740332499d3a1870437432139262b95976f21181d25f1c48dbc5e38d99b6","last_reissued_at":"2026-05-18T00:26:17.311828Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:26:17.311828Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1801.03354","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":"2026-05-18T00:26:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"R7PpKZiRC95nUkvm1OnrjiZd9EHFPlSMJuk2QYUckBBD4noPppZDMubiEZ/SahRVIQx76UXtotACLZuMnwfcAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-02T01:38:22.105408Z"},"content_sha256":"d1c06e1e3f8cff44bb8a9640410417939638d947cf806bcf0fc6209aa39ba3bd","schema_version":"1.0","event_id":"sha256:d1c06e1e3f8cff44bb8a9640410417939638d947cf806bcf0fc6209aa39ba3bd"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:OHHXIAZSJGOTUGDQIN2DEE4SMK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Planning with Pixels in (Almost) Real Time","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Blai Bonet, Hector Geffner, Wilmer Bandres","submitted_at":"2018-01-10T12:54:00Z","abstract_excerpt":"Recently, width-based planning methods have been shown to yield state-of-the-art results in the Atari 2600 video games. For this, the states were associated with the (RAM) memory states of the simulator. In this work, we consider the same planning problem but using the screen instead. By using the same visual inputs, the planning results can be compared with those of humans and learning methods. We show that the planning approach, out of the box and without training, results in scores that compare well with those obtained by humans and learning methods, and moreover, by developing an episodic,"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1801.03354","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":"2026-05-18T00:26:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Bl8UJ4nXkMt9rI8wZACDh+mcMB2pVAMreGtqwcWnb9aJtYBWlLhfKdy07cFbauxPAKlMizt6vwJBouSvaLh5Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-02T01:38:22.105794Z"},"content_sha256":"b05ed9441185c12775364e4bf6923a7a94acbe3473ba2c289db3822b7b0c6671","schema_version":"1.0","event_id":"sha256:b05ed9441185c12775364e4bf6923a7a94acbe3473ba2c289db3822b7b0c6671"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OHHXIAZSJGOTUGDQIN2DEE4SMK/bundle.json","state_url":"https://pith.science/pith/OHHXIAZSJGOTUGDQIN2DEE4SMK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OHHXIAZSJGOTUGDQIN2DEE4SMK/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":"2026-07-02T01:38:22Z","links":{"resolver":"https://pith.science/pith/OHHXIAZSJGOTUGDQIN2DEE4SMK","bundle":"https://pith.science/pith/OHHXIAZSJGOTUGDQIN2DEE4SMK/bundle.json","state":"https://pith.science/pith/OHHXIAZSJGOTUGDQIN2DEE4SMK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OHHXIAZSJGOTUGDQIN2DEE4SMK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:OHHXIAZSJGOTUGDQIN2DEE4SMK","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":"1bda5f581abeedaf3ad5ffb047755c62dfbdd8f0f878da8663388e321a3e2653","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2018-01-10T12:54:00Z","title_canon_sha256":"a320170744affa9f1e7aa7bab0adc9fec36bc33d744e824eee532f58865c96f1"},"schema_version":"1.0","source":{"id":"1801.03354","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1801.03354","created_at":"2026-05-18T00:26:17Z"},{"alias_kind":"arxiv_version","alias_value":"1801.03354v1","created_at":"2026-05-18T00:26:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1801.03354","created_at":"2026-05-18T00:26:17Z"},{"alias_kind":"pith_short_12","alias_value":"OHHXIAZSJGOT","created_at":"2026-05-18T12:32:43Z"},{"alias_kind":"pith_short_16","alias_value":"OHHXIAZSJGOTUGDQ","created_at":"2026-05-18T12:32:43Z"},{"alias_kind":"pith_short_8","alias_value":"OHHXIAZS","created_at":"2026-05-18T12:32:43Z"}],"graph_snapshots":[{"event_id":"sha256:b05ed9441185c12775364e4bf6923a7a94acbe3473ba2c289db3822b7b0c6671","target":"graph","created_at":"2026-05-18T00:26:17Z","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":"Recently, width-based planning methods have been shown to yield state-of-the-art results in the Atari 2600 video games. For this, the states were associated with the (RAM) memory states of the simulator. In this work, we consider the same planning problem but using the screen instead. By using the same visual inputs, the planning results can be compared with those of humans and learning methods. We show that the planning approach, out of the box and without training, results in scores that compare well with those obtained by humans and learning methods, and moreover, by developing an episodic,","authors_text":"Blai Bonet, Hector Geffner, Wilmer Bandres","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2018-01-10T12:54:00Z","title":"Planning with Pixels in (Almost) Real Time"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1801.03354","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:d1c06e1e3f8cff44bb8a9640410417939638d947cf806bcf0fc6209aa39ba3bd","target":"record","created_at":"2026-05-18T00:26:17Z","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":"1bda5f581abeedaf3ad5ffb047755c62dfbdd8f0f878da8663388e321a3e2653","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2018-01-10T12:54:00Z","title_canon_sha256":"a320170744affa9f1e7aa7bab0adc9fec36bc33d744e824eee532f58865c96f1"},"schema_version":"1.0","source":{"id":"1801.03354","kind":"arxiv","version":1}},"canonical_sha256":"71cf740332499d3a1870437432139262b95976f21181d25f1c48dbc5e38d99b6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"71cf740332499d3a1870437432139262b95976f21181d25f1c48dbc5e38d99b6","first_computed_at":"2026-05-18T00:26:17.311828Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:26:17.311828Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"tXVzRc8GcOyC85sGV/Fctk+tfx29NJrZb3FZPDHpJDU7paWqmbEwNtM+vzuIrmkirHvAjbonxRFTOkYDZB1mDg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:26:17.312330Z","signed_message":"canonical_sha256_bytes"},"source_id":"1801.03354","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d1c06e1e3f8cff44bb8a9640410417939638d947cf806bcf0fc6209aa39ba3bd","sha256:b05ed9441185c12775364e4bf6923a7a94acbe3473ba2c289db3822b7b0c6671"],"state_sha256":"09c4bc1d0c53ca60723ef13b2b873184763a5bd9123e779fa38a2ec7b3da2934"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mfkvtMV6Xl87bOpmLFQebPT+v2FHMuK3PcinUYku34gQm9ZoH/S4e9oN0TIxq6rlp8gO1Eq3jLtIwIzg7FVKBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-02T01:38:22.108037Z","bundle_sha256":"980034939f46c5fe60b15ba8a15e2613b9916eaad81a187811922ec628b26330"}}