{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:Z3RIK27SW2MLQTCGBDUZKQXAFC","short_pith_number":"pith:Z3RIK27S","canonical_record":{"source":{"id":"2506.13356","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-06-16T10:54:31Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"445ab08c2d6fa183173f8685730533ffdb27a973292b064b0c8493ca6c230705","abstract_canon_sha256":"90894377721d2fcf89955ccd68e070ac3771e47aead2dc3252eabf431ce4aad0"},"schema_version":"1.0"},"canonical_sha256":"cee2856bf2b698b84c4608e99542e0288466590f9360bd3a55826d9766c42182","source":{"kind":"arxiv","id":"2506.13356","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.13356","created_at":"2026-07-05T11:22:09Z"},{"alias_kind":"arxiv_version","alias_value":"2506.13356v1","created_at":"2026-07-05T11:22:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.13356","created_at":"2026-07-05T11:22:09Z"},{"alias_kind":"pith_short_12","alias_value":"Z3RIK27SW2ML","created_at":"2026-07-05T11:22:09Z"},{"alias_kind":"pith_short_16","alias_value":"Z3RIK27SW2MLQTCG","created_at":"2026-07-05T11:22:09Z"},{"alias_kind":"pith_short_8","alias_value":"Z3RIK27S","created_at":"2026-07-05T11:22:09Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:Z3RIK27SW2MLQTCGBDUZKQXAFC","target":"record","payload":{"canonical_record":{"source":{"id":"2506.13356","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-06-16T10:54:31Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"445ab08c2d6fa183173f8685730533ffdb27a973292b064b0c8493ca6c230705","abstract_canon_sha256":"90894377721d2fcf89955ccd68e070ac3771e47aead2dc3252eabf431ce4aad0"},"schema_version":"1.0"},"canonical_sha256":"cee2856bf2b698b84c4608e99542e0288466590f9360bd3a55826d9766c42182","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:22:09.195945Z","signature_b64":"puZr4A/VQ1VTtBTVWBzzMiOSW515uJ1m0rI5ibXampLTaSk170qGYIX3irv79lkoAPwSO2m64h0Ua9Ks2LWkAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cee2856bf2b698b84c4608e99542e0288466590f9360bd3a55826d9766c42182","last_reissued_at":"2026-07-05T11:22:09.195450Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:22:09.195450Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.13356","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":"2026-07-05T11:22:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"32Cy7IXojPqm62h+d3B3eSomBck4riNVHUp30tEQrGcfjeXEL5PwmOF8hdHBNPQt9iC3XBVcA8hovmcJjCr8Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T22:55:25.032535Z"},"content_sha256":"a05cb67fc8bdfc3046d19b3dca0fbbe1e70cf26e5bf8084ffd325d7433fe57b2","schema_version":"1.0","event_id":"sha256:a05cb67fc8bdfc3046d19b3dca0fbbe1e70cf26e5bf8084ffd325d7433fe57b2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:Z3RIK27SW2MLQTCGBDUZKQXAFC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"StoryBench: A Dynamic Benchmark for Evaluating Long-Term Memory with Multi Turns","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Luanbo Wan, Weizhi Ma","submitted_at":"2025-06-16T10:54:31Z","abstract_excerpt":"Long-term memory (LTM) is essential for large language models (LLMs) to achieve autonomous intelligence in complex, evolving environments. Despite increasing efforts in memory-augmented and retrieval-based architectures, there remains a lack of standardized benchmarks to systematically evaluate LLMs' long-term memory abilities. Existing benchmarks still face challenges in evaluating knowledge retention and dynamic sequential reasoning, and in their own flexibility, all of which limit their effectiveness in assessing models' LTM capabilities. To address these gaps, we propose a novel benchmark "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.13356","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/2506.13356/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":"2026-07-05T11:22:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ykj5aLrrqZBnVKIdj6BqlfofBCpZjrTga5+t2FQptqEx57sspxNFHM+vJzDMWBIfwzCwAoDDqg8bG437I2GMAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T22:55:25.033447Z"},"content_sha256":"6c76d72ad7e9cd2ecb83dec31742fbae90691ab8b536d777cab49765803fb55b","schema_version":"1.0","event_id":"sha256:6c76d72ad7e9cd2ecb83dec31742fbae90691ab8b536d777cab49765803fb55b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/Z3RIK27SW2MLQTCGBDUZKQXAFC/bundle.json","state_url":"https://pith.science/pith/Z3RIK27SW2MLQTCGBDUZKQXAFC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/Z3RIK27SW2MLQTCGBDUZKQXAFC/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":"2026-08-05T22:55:25Z","links":{"resolver":"https://pith.science/pith/Z3RIK27SW2MLQTCGBDUZKQXAFC","bundle":"https://pith.science/pith/Z3RIK27SW2MLQTCGBDUZKQXAFC/bundle.json","state":"https://pith.science/pith/Z3RIK27SW2MLQTCGBDUZKQXAFC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/Z3RIK27SW2MLQTCGBDUZKQXAFC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:Z3RIK27SW2MLQTCGBDUZKQXAFC","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":"90894377721d2fcf89955ccd68e070ac3771e47aead2dc3252eabf431ce4aad0","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-06-16T10:54:31Z","title_canon_sha256":"445ab08c2d6fa183173f8685730533ffdb27a973292b064b0c8493ca6c230705"},"schema_version":"1.0","source":{"id":"2506.13356","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.13356","created_at":"2026-07-05T11:22:09Z"},{"alias_kind":"arxiv_version","alias_value":"2506.13356v1","created_at":"2026-07-05T11:22:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.13356","created_at":"2026-07-05T11:22:09Z"},{"alias_kind":"pith_short_12","alias_value":"Z3RIK27SW2ML","created_at":"2026-07-05T11:22:09Z"},{"alias_kind":"pith_short_16","alias_value":"Z3RIK27SW2MLQTCG","created_at":"2026-07-05T11:22:09Z"},{"alias_kind":"pith_short_8","alias_value":"Z3RIK27S","created_at":"2026-07-05T11:22:09Z"}],"graph_snapshots":[{"event_id":"sha256:6c76d72ad7e9cd2ecb83dec31742fbae90691ab8b536d777cab49765803fb55b","target":"graph","created_at":"2026-07-05T11:22:09Z","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/2506.13356/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Long-term memory (LTM) is essential for large language models (LLMs) to achieve autonomous intelligence in complex, evolving environments. Despite increasing efforts in memory-augmented and retrieval-based architectures, there remains a lack of standardized benchmarks to systematically evaluate LLMs' long-term memory abilities. Existing benchmarks still face challenges in evaluating knowledge retention and dynamic sequential reasoning, and in their own flexibility, all of which limit their effectiveness in assessing models' LTM capabilities. To address these gaps, we propose a novel benchmark ","authors_text":"Luanbo Wan, Weizhi Ma","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-06-16T10:54:31Z","title":"StoryBench: A Dynamic Benchmark for Evaluating Long-Term Memory with Multi Turns"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.13356","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:a05cb67fc8bdfc3046d19b3dca0fbbe1e70cf26e5bf8084ffd325d7433fe57b2","target":"record","created_at":"2026-07-05T11:22:09Z","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":"90894377721d2fcf89955ccd68e070ac3771e47aead2dc3252eabf431ce4aad0","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-06-16T10:54:31Z","title_canon_sha256":"445ab08c2d6fa183173f8685730533ffdb27a973292b064b0c8493ca6c230705"},"schema_version":"1.0","source":{"id":"2506.13356","kind":"arxiv","version":1}},"canonical_sha256":"cee2856bf2b698b84c4608e99542e0288466590f9360bd3a55826d9766c42182","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cee2856bf2b698b84c4608e99542e0288466590f9360bd3a55826d9766c42182","first_computed_at":"2026-07-05T11:22:09.195450Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:22:09.195450Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"puZr4A/VQ1VTtBTVWBzzMiOSW515uJ1m0rI5ibXampLTaSk170qGYIX3irv79lkoAPwSO2m64h0Ua9Ks2LWkAg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:22:09.195945Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.13356","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a05cb67fc8bdfc3046d19b3dca0fbbe1e70cf26e5bf8084ffd325d7433fe57b2","sha256:6c76d72ad7e9cd2ecb83dec31742fbae90691ab8b536d777cab49765803fb55b"],"state_sha256":"0fe10bd696f42e968784d65dd01f933394e23f0581fe94537ac396d498ea28d8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/jtjTYYAOQtGtUy69E3HoPclyh4hm7to+fbxiZzVc9SEu/DD9eu5aYFTJmtIslsL+G9kJ+ASXvRor1Iol8W5Dg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T22:55:25.039942Z","bundle_sha256":"7c24f84f5ab73f4c78ff46d5c925fc5741138f6a241fccfbcf99aaead7af010a"}}