{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:PVONKTCVPSZRVYNGPNARAU7I6P","short_pith_number":"pith:PVONKTCV","canonical_record":{"source":{"id":"2602.12643","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-02-13T06:06:56Z","cross_cats_sorted":["cs.AI","stat.ML"],"title_canon_sha256":"dbf44698cfb8c1b132f07de05d78349a5c04ab9aea66added050b75258b2b0ac","abstract_canon_sha256":"26842ef52853b09a91456761c974d6b9f0dd9b2588f3d95e388e4119ebc1250a"},"schema_version":"1.0"},"canonical_sha256":"7d5cd54c557cb31ae1a67b411053e8f3d061915c643595eeea1a2d930ab5efab","source":{"kind":"arxiv","id":"2602.12643","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2602.12643","created_at":"2026-06-04T00:06:43Z"},{"alias_kind":"arxiv_version","alias_value":"2602.12643v2","created_at":"2026-06-04T00:06:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.12643","created_at":"2026-06-04T00:06:43Z"},{"alias_kind":"pith_short_12","alias_value":"PVONKTCVPSZR","created_at":"2026-06-04T00:06:43Z"},{"alias_kind":"pith_short_16","alias_value":"PVONKTCVPSZRVYNG","created_at":"2026-06-04T00:06:43Z"},{"alias_kind":"pith_short_8","alias_value":"PVONKTCV","created_at":"2026-06-04T00:06:43Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:PVONKTCVPSZRVYNGPNARAU7I6P","target":"record","payload":{"canonical_record":{"source":{"id":"2602.12643","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-02-13T06:06:56Z","cross_cats_sorted":["cs.AI","stat.ML"],"title_canon_sha256":"dbf44698cfb8c1b132f07de05d78349a5c04ab9aea66added050b75258b2b0ac","abstract_canon_sha256":"26842ef52853b09a91456761c974d6b9f0dd9b2588f3d95e388e4119ebc1250a"},"schema_version":"1.0"},"canonical_sha256":"7d5cd54c557cb31ae1a67b411053e8f3d061915c643595eeea1a2d930ab5efab","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-04T00:06:43.439611Z","signature_b64":"5ZznffShD/SebVfLXFd6cQ0oo4ebKiIgNaJ+DUEC4ugQFcN08SdzOWUKA6/S+d90NkwkbksS1pzEhjj+lVJHCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7d5cd54c557cb31ae1a67b411053e8f3d061915c643595eeea1a2d930ab5efab","last_reissued_at":"2026-06-04T00:06:43.439044Z","signature_status":"signed_v1","first_computed_at":"2026-06-04T00:06:43.439044Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2602.12643","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-06-04T00:06:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vHslXIoNOzCtvlXli42Yo2cc2aGzwjpunGV9lsvn/zdokfE1Lto3S4JpqJi1Ph6+ShqVV1rZaSaRmbrTmGqbCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-03T06:29:16.051476Z"},"content_sha256":"9d0fa73de5322034dbb075e9a56eb34c58f35bebf4f5854e8ce978f30f734751","schema_version":"1.0","event_id":"sha256:9d0fa73de5322034dbb075e9a56eb34c58f35bebf4f5854e8ce978f30f734751"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:PVONKTCVPSZRVYNGPNARAU7I6P","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Unifying Model-Free Efficiency and Model-Based Representations via Latent Dynamics","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","stat.ML"],"primary_cat":"cs.LG","authors_text":"Balaraman Ravindran, Jashaswimalya Acharjee","submitted_at":"2026-02-13T06:06:56Z","abstract_excerpt":"We present Unified Latent Dynamics (ULD), a novel reinforcement learning algorithm that unifies the efficiency of model-free methods with the representational strengths of model-based approaches, without incurring planning overhead. By embedding state-action pairs into a latent space in which the true value function is approximately linear, our method supports a single set of hyperparameters across diverse domains -- from continuous control with low-dimensional and pixel inputs to high-dimensional Atari games. We prove that, under mild conditions, the fixed point of our embedding-based tempora"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.12643","kind":"arxiv","version":2},"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/2602.12643/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":"2026-06-04T00:06:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9G7Ew/EBMLw5XZL79JySEB5+5uma5EuupV9KS8SUPTjUgiCP3EGPGYfJjmbh3qqMRp4mj3lPPvpFjSC8aTSWBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-03T06:29:16.051853Z"},"content_sha256":"82eddab3bc1146c672b8729bafad93de8f06e376895279a3f78d4d4f5f875de2","schema_version":"1.0","event_id":"sha256:82eddab3bc1146c672b8729bafad93de8f06e376895279a3f78d4d4f5f875de2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PVONKTCVPSZRVYNGPNARAU7I6P/bundle.json","state_url":"https://pith.science/pith/PVONKTCVPSZRVYNGPNARAU7I6P/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PVONKTCVPSZRVYNGPNARAU7I6P/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":"2026-07-03T06:29:16Z","links":{"resolver":"https://pith.science/pith/PVONKTCVPSZRVYNGPNARAU7I6P","bundle":"https://pith.science/pith/PVONKTCVPSZRVYNGPNARAU7I6P/bundle.json","state":"https://pith.science/pith/PVONKTCVPSZRVYNGPNARAU7I6P/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PVONKTCVPSZRVYNGPNARAU7I6P/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:PVONKTCVPSZRVYNGPNARAU7I6P","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":"26842ef52853b09a91456761c974d6b9f0dd9b2588f3d95e388e4119ebc1250a","cross_cats_sorted":["cs.AI","stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-02-13T06:06:56Z","title_canon_sha256":"dbf44698cfb8c1b132f07de05d78349a5c04ab9aea66added050b75258b2b0ac"},"schema_version":"1.0","source":{"id":"2602.12643","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2602.12643","created_at":"2026-06-04T00:06:43Z"},{"alias_kind":"arxiv_version","alias_value":"2602.12643v2","created_at":"2026-06-04T00:06:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.12643","created_at":"2026-06-04T00:06:43Z"},{"alias_kind":"pith_short_12","alias_value":"PVONKTCVPSZR","created_at":"2026-06-04T00:06:43Z"},{"alias_kind":"pith_short_16","alias_value":"PVONKTCVPSZRVYNG","created_at":"2026-06-04T00:06:43Z"},{"alias_kind":"pith_short_8","alias_value":"PVONKTCV","created_at":"2026-06-04T00:06:43Z"}],"graph_snapshots":[{"event_id":"sha256:82eddab3bc1146c672b8729bafad93de8f06e376895279a3f78d4d4f5f875de2","target":"graph","created_at":"2026-06-04T00:06:43Z","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/2602.12643/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present Unified Latent Dynamics (ULD), a novel reinforcement learning algorithm that unifies the efficiency of model-free methods with the representational strengths of model-based approaches, without incurring planning overhead. By embedding state-action pairs into a latent space in which the true value function is approximately linear, our method supports a single set of hyperparameters across diverse domains -- from continuous control with low-dimensional and pixel inputs to high-dimensional Atari games. We prove that, under mild conditions, the fixed point of our embedding-based tempora","authors_text":"Balaraman Ravindran, Jashaswimalya Acharjee","cross_cats":["cs.AI","stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-02-13T06:06:56Z","title":"Unifying Model-Free Efficiency and Model-Based Representations via Latent Dynamics"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.12643","kind":"arxiv","version":2},"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":"sha256:9d0fa73de5322034dbb075e9a56eb34c58f35bebf4f5854e8ce978f30f734751","target":"record","created_at":"2026-06-04T00:06:43Z","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":"26842ef52853b09a91456761c974d6b9f0dd9b2588f3d95e388e4119ebc1250a","cross_cats_sorted":["cs.AI","stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-02-13T06:06:56Z","title_canon_sha256":"dbf44698cfb8c1b132f07de05d78349a5c04ab9aea66added050b75258b2b0ac"},"schema_version":"1.0","source":{"id":"2602.12643","kind":"arxiv","version":2}},"canonical_sha256":"7d5cd54c557cb31ae1a67b411053e8f3d061915c643595eeea1a2d930ab5efab","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7d5cd54c557cb31ae1a67b411053e8f3d061915c643595eeea1a2d930ab5efab","first_computed_at":"2026-06-04T00:06:43.439044Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-04T00:06:43.439044Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5ZznffShD/SebVfLXFd6cQ0oo4ebKiIgNaJ+DUEC4ugQFcN08SdzOWUKA6/S+d90NkwkbksS1pzEhjj+lVJHCQ==","signature_status":"signed_v1","signed_at":"2026-06-04T00:06:43.439611Z","signed_message":"canonical_sha256_bytes"},"source_id":"2602.12643","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9d0fa73de5322034dbb075e9a56eb34c58f35bebf4f5854e8ce978f30f734751","sha256:82eddab3bc1146c672b8729bafad93de8f06e376895279a3f78d4d4f5f875de2"],"state_sha256":"0a4eef74bb6a594cb51305b056571c85f124cd36e94e45d4f35ea38034fb85a6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KIxwWzTS3LzWsYTI8X10K/8dax/Yr2T8PMV2C9qOnDY1SPE8nlPGKbnWbYXfMow9uj0BHAtfGbiJX0umDoXWDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-03T06:29:16.053870Z","bundle_sha256":"f4a68dbd24a8257d2fbdeff18d6161b614d305f2eb3e230668f966150751bf1a"}}