{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:SLKB4SRK42KFODYTF5MWZ66HZP","short_pith_number":"pith:SLKB4SRK","canonical_record":{"source":{"id":"2508.21488","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-08-29T10:12:42Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"262ce370be05a32a88248a2c75611d60e3678044c140ad4e9c70c1cd5c9a375f","abstract_canon_sha256":"e3f08bb578ed55db03b738c4914bed210eb804791cb979a075ddb6d2b86785b4"},"schema_version":"1.0"},"canonical_sha256":"92d41e4a2ae694570f132f596cfbc7cbf7d6f98d348f86a95b959b0e134083d1","source":{"kind":"arxiv","id":"2508.21488","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.21488","created_at":"2026-07-05T12:01:35Z"},{"alias_kind":"arxiv_version","alias_value":"2508.21488v1","created_at":"2026-07-05T12:01:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.21488","created_at":"2026-07-05T12:01:35Z"},{"alias_kind":"pith_short_12","alias_value":"SLKB4SRK42KF","created_at":"2026-07-05T12:01:35Z"},{"alias_kind":"pith_short_16","alias_value":"SLKB4SRK42KFODYT","created_at":"2026-07-05T12:01:35Z"},{"alias_kind":"pith_short_8","alias_value":"SLKB4SRK","created_at":"2026-07-05T12:01:35Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:SLKB4SRK42KFODYTF5MWZ66HZP","target":"record","payload":{"canonical_record":{"source":{"id":"2508.21488","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-08-29T10:12:42Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"262ce370be05a32a88248a2c75611d60e3678044c140ad4e9c70c1cd5c9a375f","abstract_canon_sha256":"e3f08bb578ed55db03b738c4914bed210eb804791cb979a075ddb6d2b86785b4"},"schema_version":"1.0"},"canonical_sha256":"92d41e4a2ae694570f132f596cfbc7cbf7d6f98d348f86a95b959b0e134083d1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:01:35.597111Z","signature_b64":"M1tNXnXr2k2tNCvFzENJ+Qyc7zYZoSW5KQZqPeoKt1/d3UmDsMBKCMgBq7i1DgcKnS2Do4C1U7Paya1AmMIFAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"92d41e4a2ae694570f132f596cfbc7cbf7d6f98d348f86a95b959b0e134083d1","last_reissued_at":"2026-07-05T12:01:35.596624Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:01:35.596624Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2508.21488","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":"2026-07-05T12:01:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Srp+/uHjoDzwHYjuVb57NYSugPZt7FsVk7KqtyTMl85hXIbFRthkCjAH0edlbho7/U5IwanHxoVdOyIVv1mbDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T12:05:34.739178Z"},"content_sha256":"061567d8dd3f2339283576ba10ad185a305e8d4bddab3cfbaa3e71c31a9d6fdf","schema_version":"1.0","event_id":"sha256:061567d8dd3f2339283576ba10ad185a305e8d4bddab3cfbaa3e71c31a9d6fdf"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:SLKB4SRK42KFODYTF5MWZ66HZP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Priors Matter: Addressing Misspecification in Bayesian Deep Q-Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Matthijs T.J. Spaan, Neil Yorke-Smith, Pascal R. van der Vaart","submitted_at":"2025-08-29T10:12:42Z","abstract_excerpt":"Uncertainty quantification in reinforcement learning can greatly improve exploration and robustness. Approximate Bayesian approaches have recently been popularized to quantify uncertainty in model-free algorithms. However, so far the focus has been on improving the accuracy of the posterior approximation, instead of studying the accuracy of the prior and likelihood assumptions underlying the posterior. In this work, we demonstrate that there is a cold posterior effect in Bayesian deep Q-learning, where contrary to theory, performance increases when reducing the temperature of the posterior. To"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.21488","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/2508.21488/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":"2026-07-05T12:01:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VFo8LpeFdJ2AOXKOL2ToJx0NIcuyoOBAE2VY4jMH2BVIyDw6iv5ke78tMP8Y0Gwn2fiCzHfIPhC2LXvCncyWDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T12:05:34.739568Z"},"content_sha256":"3fbbe64431bd117c7495c3833f5a299bef78950de2768282d10330c87a6c6c20","schema_version":"1.0","event_id":"sha256:3fbbe64431bd117c7495c3833f5a299bef78950de2768282d10330c87a6c6c20"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SLKB4SRK42KFODYTF5MWZ66HZP/bundle.json","state_url":"https://pith.science/pith/SLKB4SRK42KFODYTF5MWZ66HZP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SLKB4SRK42KFODYTF5MWZ66HZP/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":"2026-08-07T12:05:34Z","links":{"resolver":"https://pith.science/pith/SLKB4SRK42KFODYTF5MWZ66HZP","bundle":"https://pith.science/pith/SLKB4SRK42KFODYTF5MWZ66HZP/bundle.json","state":"https://pith.science/pith/SLKB4SRK42KFODYTF5MWZ66HZP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SLKB4SRK42KFODYTF5MWZ66HZP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:SLKB4SRK42KFODYTF5MWZ66HZP","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":"e3f08bb578ed55db03b738c4914bed210eb804791cb979a075ddb6d2b86785b4","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-08-29T10:12:42Z","title_canon_sha256":"262ce370be05a32a88248a2c75611d60e3678044c140ad4e9c70c1cd5c9a375f"},"schema_version":"1.0","source":{"id":"2508.21488","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.21488","created_at":"2026-07-05T12:01:35Z"},{"alias_kind":"arxiv_version","alias_value":"2508.21488v1","created_at":"2026-07-05T12:01:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.21488","created_at":"2026-07-05T12:01:35Z"},{"alias_kind":"pith_short_12","alias_value":"SLKB4SRK42KF","created_at":"2026-07-05T12:01:35Z"},{"alias_kind":"pith_short_16","alias_value":"SLKB4SRK42KFODYT","created_at":"2026-07-05T12:01:35Z"},{"alias_kind":"pith_short_8","alias_value":"SLKB4SRK","created_at":"2026-07-05T12:01:35Z"}],"graph_snapshots":[{"event_id":"sha256:3fbbe64431bd117c7495c3833f5a299bef78950de2768282d10330c87a6c6c20","target":"graph","created_at":"2026-07-05T12:01:35Z","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/2508.21488/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Uncertainty quantification in reinforcement learning can greatly improve exploration and robustness. Approximate Bayesian approaches have recently been popularized to quantify uncertainty in model-free algorithms. However, so far the focus has been on improving the accuracy of the posterior approximation, instead of studying the accuracy of the prior and likelihood assumptions underlying the posterior. In this work, we demonstrate that there is a cold posterior effect in Bayesian deep Q-learning, where contrary to theory, performance increases when reducing the temperature of the posterior. To","authors_text":"Matthijs T.J. Spaan, Neil Yorke-Smith, Pascal R. van der Vaart","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-08-29T10:12:42Z","title":"Priors Matter: Addressing Misspecification in Bayesian Deep Q-Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.21488","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":"sha256:061567d8dd3f2339283576ba10ad185a305e8d4bddab3cfbaa3e71c31a9d6fdf","target":"record","created_at":"2026-07-05T12:01:35Z","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":"e3f08bb578ed55db03b738c4914bed210eb804791cb979a075ddb6d2b86785b4","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-08-29T10:12:42Z","title_canon_sha256":"262ce370be05a32a88248a2c75611d60e3678044c140ad4e9c70c1cd5c9a375f"},"schema_version":"1.0","source":{"id":"2508.21488","kind":"arxiv","version":1}},"canonical_sha256":"92d41e4a2ae694570f132f596cfbc7cbf7d6f98d348f86a95b959b0e134083d1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"92d41e4a2ae694570f132f596cfbc7cbf7d6f98d348f86a95b959b0e134083d1","first_computed_at":"2026-07-05T12:01:35.596624Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:01:35.596624Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"M1tNXnXr2k2tNCvFzENJ+Qyc7zYZoSW5KQZqPeoKt1/d3UmDsMBKCMgBq7i1DgcKnS2Do4C1U7Paya1AmMIFAw==","signature_status":"signed_v1","signed_at":"2026-07-05T12:01:35.597111Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.21488","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:061567d8dd3f2339283576ba10ad185a305e8d4bddab3cfbaa3e71c31a9d6fdf","sha256:3fbbe64431bd117c7495c3833f5a299bef78950de2768282d10330c87a6c6c20"],"state_sha256":"08612bad4e39bd67e021d30a12c78dcd10dc784211ccfbf51475a867b845f4f6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"G8Mm1csW88eFKUBxjNZ/OQQgkNNuup3ZOZAjFu/wgl5HLMvllLph2bUOx8xPio9v+sTCPdz04cYyGq2MXTNtDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T12:05:34.742339Z","bundle_sha256":"ee1b61abe3a408bed3a622ed385f08646ea36b28cd6beb54f32cde112ff670b0"}}