{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:QYEVXGGJ4BN6J7YNLTKC7K46SW","short_pith_number":"pith:QYEVXGGJ","canonical_record":{"source":{"id":"2605.20616","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-20T02:03:34Z","cross_cats_sorted":[],"title_canon_sha256":"99fe086da17a397da490f01b1bc5684d663c027c661d2357343d0ff21460bd14","abstract_canon_sha256":"79cddab98594c22e885055c10e4e5cab783b8739df0b10ba15a9bd76407842c7"},"schema_version":"1.0"},"canonical_sha256":"86095b98c9e05be4ff0d5cd42fab9e9586138a901bf1b243528a6f0ea064b613","source":{"kind":"arxiv","id":"2605.20616","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.20616","created_at":"2026-05-21T01:04:44Z"},{"alias_kind":"arxiv_version","alias_value":"2605.20616v1","created_at":"2026-05-21T01:04:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.20616","created_at":"2026-05-21T01:04:44Z"},{"alias_kind":"pith_short_12","alias_value":"QYEVXGGJ4BN6","created_at":"2026-05-21T01:04:44Z"},{"alias_kind":"pith_short_16","alias_value":"QYEVXGGJ4BN6J7YN","created_at":"2026-05-21T01:04:44Z"},{"alias_kind":"pith_short_8","alias_value":"QYEVXGGJ","created_at":"2026-05-21T01:04:44Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:QYEVXGGJ4BN6J7YNLTKC7K46SW","target":"record","payload":{"canonical_record":{"source":{"id":"2605.20616","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-20T02:03:34Z","cross_cats_sorted":[],"title_canon_sha256":"99fe086da17a397da490f01b1bc5684d663c027c661d2357343d0ff21460bd14","abstract_canon_sha256":"79cddab98594c22e885055c10e4e5cab783b8739df0b10ba15a9bd76407842c7"},"schema_version":"1.0"},"canonical_sha256":"86095b98c9e05be4ff0d5cd42fab9e9586138a901bf1b243528a6f0ea064b613","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-21T01:04:44.790961Z","signature_b64":"MCHLhGfiE/vWNrjzCu1+q/R6UOwtBJkeOnuNSfmxW2gNZGkQ0PBG6xTAqaEsfxUnUFuN1hdmUVjLyoLOFrGHBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"86095b98c9e05be4ff0d5cd42fab9e9586138a901bf1b243528a6f0ea064b613","last_reissued_at":"2026-05-21T01:04:44.790432Z","signature_status":"signed_v1","first_computed_at":"2026-05-21T01:04:44.790432Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.20616","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":"2026-05-21T01:04:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aCovw6lef2f1lTKEdMvgOAauZEG0D2Id4/jB9UK6MULSquraHQtgbfXF/IXJ8cnyvIZPuItxf8esvefIjI0qAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-22T14:03:05.581892Z"},"content_sha256":"c8626158fd383f3df1b1809eb83ecf417f4fb064d8ed97b4a61848c4ca11f123","schema_version":"1.0","event_id":"sha256:c8626158fd383f3df1b1809eb83ecf417f4fb064d8ed97b4a61848c4ca11f123"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:QYEVXGGJ4BN6J7YNLTKC7K46SW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Auto-Dreamer: Learning Offline Memory Consolidation for Language Agents","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Chongrui Ye, Ge Liu, Haofei Yu, Jiaxuan You, Julian McAuley, Yining Zhao, Yu Wang, Yuxiang Liu","submitted_at":"2026-05-20T02:03:34Z","abstract_excerpt":"Language agents increasingly operate over streams of related tasks, yet existing memory systems struggle to convert accumulated experience into reusable knowledge. Retrieval-augmented and structured memory methods record per-session observations effectively, but often couple acquisition and consolidation into a single online process, leaving the agent without a global view across sessions to discover recurring patterns, abstract shared procedures, or prune redundant entries. Inspired by complementary learning systems theory, we propose Auto-Dreamer, a learned offline consolidator for language-"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.20616","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/2605.20616/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":"2026-05-21T01:04:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZDqKS0YQCUUUHU6A/fxnS5ZdeucFKwPZZGeBvypqBHTiFekzcj6/vZS5UQjJHZrT6Y6kgx82IJqvcfU+qrRRBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-22T14:03:05.582344Z"},"content_sha256":"e3521516905255a8924f4ba1cf46e2ec4296ec17ce4b5b2951245ff55e7c4f84","schema_version":"1.0","event_id":"sha256:e3521516905255a8924f4ba1cf46e2ec4296ec17ce4b5b2951245ff55e7c4f84"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QYEVXGGJ4BN6J7YNLTKC7K46SW/bundle.json","state_url":"https://pith.science/pith/QYEVXGGJ4BN6J7YNLTKC7K46SW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QYEVXGGJ4BN6J7YNLTKC7K46SW/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":"2026-05-22T14:03:05Z","links":{"resolver":"https://pith.science/pith/QYEVXGGJ4BN6J7YNLTKC7K46SW","bundle":"https://pith.science/pith/QYEVXGGJ4BN6J7YNLTKC7K46SW/bundle.json","state":"https://pith.science/pith/QYEVXGGJ4BN6J7YNLTKC7K46SW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QYEVXGGJ4BN6J7YNLTKC7K46SW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:QYEVXGGJ4BN6J7YNLTKC7K46SW","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":"79cddab98594c22e885055c10e4e5cab783b8739df0b10ba15a9bd76407842c7","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-20T02:03:34Z","title_canon_sha256":"99fe086da17a397da490f01b1bc5684d663c027c661d2357343d0ff21460bd14"},"schema_version":"1.0","source":{"id":"2605.20616","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.20616","created_at":"2026-05-21T01:04:44Z"},{"alias_kind":"arxiv_version","alias_value":"2605.20616v1","created_at":"2026-05-21T01:04:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.20616","created_at":"2026-05-21T01:04:44Z"},{"alias_kind":"pith_short_12","alias_value":"QYEVXGGJ4BN6","created_at":"2026-05-21T01:04:44Z"},{"alias_kind":"pith_short_16","alias_value":"QYEVXGGJ4BN6J7YN","created_at":"2026-05-21T01:04:44Z"},{"alias_kind":"pith_short_8","alias_value":"QYEVXGGJ","created_at":"2026-05-21T01:04:44Z"}],"graph_snapshots":[{"event_id":"sha256:e3521516905255a8924f4ba1cf46e2ec4296ec17ce4b5b2951245ff55e7c4f84","target":"graph","created_at":"2026-05-21T01:04:44Z","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/2605.20616/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Language agents increasingly operate over streams of related tasks, yet existing memory systems struggle to convert accumulated experience into reusable knowledge. Retrieval-augmented and structured memory methods record per-session observations effectively, but often couple acquisition and consolidation into a single online process, leaving the agent without a global view across sessions to discover recurring patterns, abstract shared procedures, or prune redundant entries. Inspired by complementary learning systems theory, we propose Auto-Dreamer, a learned offline consolidator for language-","authors_text":"Chongrui Ye, Ge Liu, Haofei Yu, Jiaxuan You, Julian McAuley, Yining Zhao, Yu Wang, Yuxiang Liu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-20T02:03:34Z","title":"Auto-Dreamer: Learning Offline Memory Consolidation for Language Agents"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.20616","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:c8626158fd383f3df1b1809eb83ecf417f4fb064d8ed97b4a61848c4ca11f123","target":"record","created_at":"2026-05-21T01:04:44Z","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":"79cddab98594c22e885055c10e4e5cab783b8739df0b10ba15a9bd76407842c7","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-20T02:03:34Z","title_canon_sha256":"99fe086da17a397da490f01b1bc5684d663c027c661d2357343d0ff21460bd14"},"schema_version":"1.0","source":{"id":"2605.20616","kind":"arxiv","version":1}},"canonical_sha256":"86095b98c9e05be4ff0d5cd42fab9e9586138a901bf1b243528a6f0ea064b613","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"86095b98c9e05be4ff0d5cd42fab9e9586138a901bf1b243528a6f0ea064b613","first_computed_at":"2026-05-21T01:04:44.790432Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-21T01:04:44.790432Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"MCHLhGfiE/vWNrjzCu1+q/R6UOwtBJkeOnuNSfmxW2gNZGkQ0PBG6xTAqaEsfxUnUFuN1hdmUVjLyoLOFrGHBQ==","signature_status":"signed_v1","signed_at":"2026-05-21T01:04:44.790961Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.20616","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c8626158fd383f3df1b1809eb83ecf417f4fb064d8ed97b4a61848c4ca11f123","sha256:e3521516905255a8924f4ba1cf46e2ec4296ec17ce4b5b2951245ff55e7c4f84"],"state_sha256":"16bf1000ba0195a9c68c9aa80436c4a3af6172b70e59cadea44de44a82501a54"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LKcdYw671n8KZxROgyK4Z7zdae8fig8Ndq0QXJnbneM2Fh+8+J6+8aOeUjsXk+MGLX6nUrFeit5+Epbzr7/5Bw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-22T14:03:05.584947Z","bundle_sha256":"e447833572ebb5d35da49c39a5e4e10d9b658fbf8e5509fa0357e8ead3a29568"}}