{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:CS7ZGWRCHH2G43LZN2H5DMYFRD","short_pith_number":"pith:CS7ZGWRC","canonical_record":{"source":{"id":"1709.09761","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-09-27T23:22:06Z","cross_cats_sorted":["q-bio.NC"],"title_canon_sha256":"50b3f3d62ea99f66d5a524bea0c15c7e774c400a776e80b7a733d393fff35061","abstract_canon_sha256":"2f8d6e19081d1c4f5b698e04881dd6e46f898dacc75cd63f0d1fb693cd4e2e22"},"schema_version":"1.0"},"canonical_sha256":"14bf935a2239f46e6d796e8fd1b30588f7f77e70819a2df7f2af2a6aa71b52ab","source":{"kind":"arxiv","id":"1709.09761","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1709.09761","created_at":"2026-05-18T00:34:06Z"},{"alias_kind":"arxiv_version","alias_value":"1709.09761v1","created_at":"2026-05-18T00:34:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1709.09761","created_at":"2026-05-18T00:34:06Z"},{"alias_kind":"pith_short_12","alias_value":"CS7ZGWRCHH2G","created_at":"2026-05-18T12:31:10Z"},{"alias_kind":"pith_short_16","alias_value":"CS7ZGWRCHH2G43LZ","created_at":"2026-05-18T12:31:10Z"},{"alias_kind":"pith_short_8","alias_value":"CS7ZGWRC","created_at":"2026-05-18T12:31:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:CS7ZGWRCHH2G43LZN2H5DMYFRD","target":"record","payload":{"canonical_record":{"source":{"id":"1709.09761","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-09-27T23:22:06Z","cross_cats_sorted":["q-bio.NC"],"title_canon_sha256":"50b3f3d62ea99f66d5a524bea0c15c7e774c400a776e80b7a733d393fff35061","abstract_canon_sha256":"2f8d6e19081d1c4f5b698e04881dd6e46f898dacc75cd63f0d1fb693cd4e2e22"},"schema_version":"1.0"},"canonical_sha256":"14bf935a2239f46e6d796e8fd1b30588f7f77e70819a2df7f2af2a6aa71b52ab","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:34:06.829743Z","signature_b64":"fekTWHO5KPjljCs0AEgI2TsJ4z0zwry0wzW8wa/lp2vl0NiT3b5eJKBmOaRVkcLaygKG5W4TIS2Var6/vkNUDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"14bf935a2239f46e6d796e8fd1b30588f7f77e70819a2df7f2af2a6aa71b52ab","last_reissued_at":"2026-05-18T00:34:06.829077Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:34:06.829077Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1709.09761","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":"2026-05-18T00:34:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vdPI2XM5Hnzo05auu58IczARUmjy3A44alcB6dsA5HN1dAFlOWTJeA3qUzfGV0nqfBIRDXUK6w+cRvCzt+EYBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-28T17:49:34.967333Z"},"content_sha256":"c6d2519721bfa4f35896291cabf2c666fa22cee781413f61245757b50bc622d1","schema_version":"1.0","event_id":"sha256:c6d2519721bfa4f35896291cabf2c666fa22cee781413f61245757b50bc622d1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:CS7ZGWRCHH2G43LZN2H5DMYFRD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"The detour problem in a stochastic environment: Tolman revisited","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["q-bio.NC"],"primary_cat":"stat.ML","authors_text":"Arash Khodadadi, Jerome Busemeyer, Pegah Fakhari","submitted_at":"2017-09-27T23:22:06Z","abstract_excerpt":"We designed a grid world task to study human planning and re-planning behavior in an unknown stochastic environment. In our grid world, participants were asked to travel from a random starting point to a random goal position while maximizing their reward. Because they were not familiar with the environment, they needed to learn its characteristics from experience to plan optimally. Later in the task, we randomly blocked the optimal path to investigate whether and how people adjust their original plans to find a detour. To this end, we developed and compared 12 different models. These models we"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1709.09761","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":"2026-05-18T00:34:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"w/0wWJbVmKUwHOslQOKJ4MfbcRkOkVbibASAz55znflr7jQTZHfKKPLMNg5Uw5eetFJWnqj27qA5rdGN9rv9Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-28T17:49:34.967712Z"},"content_sha256":"f0e14c1375f6850e3861d265e238be073e48b61d2e93bb7afcbf95507429e507","schema_version":"1.0","event_id":"sha256:f0e14c1375f6850e3861d265e238be073e48b61d2e93bb7afcbf95507429e507"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CS7ZGWRCHH2G43LZN2H5DMYFRD/bundle.json","state_url":"https://pith.science/pith/CS7ZGWRCHH2G43LZN2H5DMYFRD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CS7ZGWRCHH2G43LZN2H5DMYFRD/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":"2026-06-28T17:49:34Z","links":{"resolver":"https://pith.science/pith/CS7ZGWRCHH2G43LZN2H5DMYFRD","bundle":"https://pith.science/pith/CS7ZGWRCHH2G43LZN2H5DMYFRD/bundle.json","state":"https://pith.science/pith/CS7ZGWRCHH2G43LZN2H5DMYFRD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CS7ZGWRCHH2G43LZN2H5DMYFRD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:CS7ZGWRCHH2G43LZN2H5DMYFRD","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":"2f8d6e19081d1c4f5b698e04881dd6e46f898dacc75cd63f0d1fb693cd4e2e22","cross_cats_sorted":["q-bio.NC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-09-27T23:22:06Z","title_canon_sha256":"50b3f3d62ea99f66d5a524bea0c15c7e774c400a776e80b7a733d393fff35061"},"schema_version":"1.0","source":{"id":"1709.09761","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1709.09761","created_at":"2026-05-18T00:34:06Z"},{"alias_kind":"arxiv_version","alias_value":"1709.09761v1","created_at":"2026-05-18T00:34:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1709.09761","created_at":"2026-05-18T00:34:06Z"},{"alias_kind":"pith_short_12","alias_value":"CS7ZGWRCHH2G","created_at":"2026-05-18T12:31:10Z"},{"alias_kind":"pith_short_16","alias_value":"CS7ZGWRCHH2G43LZ","created_at":"2026-05-18T12:31:10Z"},{"alias_kind":"pith_short_8","alias_value":"CS7ZGWRC","created_at":"2026-05-18T12:31:10Z"}],"graph_snapshots":[{"event_id":"sha256:f0e14c1375f6850e3861d265e238be073e48b61d2e93bb7afcbf95507429e507","target":"graph","created_at":"2026-05-18T00:34:06Z","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 designed a grid world task to study human planning and re-planning behavior in an unknown stochastic environment. In our grid world, participants were asked to travel from a random starting point to a random goal position while maximizing their reward. Because they were not familiar with the environment, they needed to learn its characteristics from experience to plan optimally. Later in the task, we randomly blocked the optimal path to investigate whether and how people adjust their original plans to find a detour. To this end, we developed and compared 12 different models. These models we","authors_text":"Arash Khodadadi, Jerome Busemeyer, Pegah Fakhari","cross_cats":["q-bio.NC"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-09-27T23:22:06Z","title":"The detour problem in a stochastic environment: Tolman revisited"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1709.09761","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:c6d2519721bfa4f35896291cabf2c666fa22cee781413f61245757b50bc622d1","target":"record","created_at":"2026-05-18T00:34:06Z","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":"2f8d6e19081d1c4f5b698e04881dd6e46f898dacc75cd63f0d1fb693cd4e2e22","cross_cats_sorted":["q-bio.NC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-09-27T23:22:06Z","title_canon_sha256":"50b3f3d62ea99f66d5a524bea0c15c7e774c400a776e80b7a733d393fff35061"},"schema_version":"1.0","source":{"id":"1709.09761","kind":"arxiv","version":1}},"canonical_sha256":"14bf935a2239f46e6d796e8fd1b30588f7f77e70819a2df7f2af2a6aa71b52ab","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"14bf935a2239f46e6d796e8fd1b30588f7f77e70819a2df7f2af2a6aa71b52ab","first_computed_at":"2026-05-18T00:34:06.829077Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:34:06.829077Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"fekTWHO5KPjljCs0AEgI2TsJ4z0zwry0wzW8wa/lp2vl0NiT3b5eJKBmOaRVkcLaygKG5W4TIS2Var6/vkNUDw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:34:06.829743Z","signed_message":"canonical_sha256_bytes"},"source_id":"1709.09761","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c6d2519721bfa4f35896291cabf2c666fa22cee781413f61245757b50bc622d1","sha256:f0e14c1375f6850e3861d265e238be073e48b61d2e93bb7afcbf95507429e507"],"state_sha256":"40b52b972ebcad48d419d956eaeb3f9dc9a7d3e6c009712430c822f50b2c6f4f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"haXNmCw1isfF74FAZJ9eoahjOf8r0LVpWJze/rkR2WNFLnOFkJ8SYFtC4YswUlVDrh83gCFygTzv7tJBfblRCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-28T17:49:34.969777Z","bundle_sha256":"4ab033a449bdc9a600c2ad589e0111058f1d3768dd9ae15ed6049d857c7f30eb"}}