{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:NTSPMTLBY6C4YHCFQPTLNTMVXO","short_pith_number":"pith:NTSPMTLB","canonical_record":{"source":{"id":"2605.29256","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-05-28T02:20:11Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"5e45f0c36d4a9ca008be711e7ef878a1f0f6320d3d372af6cc54bed103bb2f2c","abstract_canon_sha256":"c58a0a1cba30f819418d8d9a3aa851a38803f1ea0ae7689887639b42702acc20"},"schema_version":"1.0"},"canonical_sha256":"6ce4f64d61c785cc1c4583e6b6cd95bb92ef6e5be41a4f2ddffb1d4cfecb4e01","source":{"kind":"arxiv","id":"2605.29256","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.29256","created_at":"2026-05-29T01:05:27Z"},{"alias_kind":"arxiv_version","alias_value":"2605.29256v1","created_at":"2026-05-29T01:05:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.29256","created_at":"2026-05-29T01:05:27Z"},{"alias_kind":"pith_short_12","alias_value":"NTSPMTLBY6C4","created_at":"2026-05-29T01:05:27Z"},{"alias_kind":"pith_short_16","alias_value":"NTSPMTLBY6C4YHCF","created_at":"2026-05-29T01:05:27Z"},{"alias_kind":"pith_short_8","alias_value":"NTSPMTLB","created_at":"2026-05-29T01:05:27Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:NTSPMTLBY6C4YHCFQPTLNTMVXO","target":"record","payload":{"canonical_record":{"source":{"id":"2605.29256","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-05-28T02:20:11Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"5e45f0c36d4a9ca008be711e7ef878a1f0f6320d3d372af6cc54bed103bb2f2c","abstract_canon_sha256":"c58a0a1cba30f819418d8d9a3aa851a38803f1ea0ae7689887639b42702acc20"},"schema_version":"1.0"},"canonical_sha256":"6ce4f64d61c785cc1c4583e6b6cd95bb92ef6e5be41a4f2ddffb1d4cfecb4e01","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-29T01:05:27.515230Z","signature_b64":"F4rd9CVPEqnORJ5Iy++2y6AyFXerviZ8YUsEwT6tnvG6Oxv5PDnsGvNrcz7rHSdeNgv0XOLMHGRnFs5GDFDYBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6ce4f64d61c785cc1c4583e6b6cd95bb92ef6e5be41a4f2ddffb1d4cfecb4e01","last_reissued_at":"2026-05-29T01:05:27.514378Z","signature_status":"signed_v1","first_computed_at":"2026-05-29T01:05:27.514378Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.29256","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":"2026-05-29T01:05:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yBhfEAyH0hZiOewXFWdiTGmsTDvOxmhYb9mKrlvqutL8JtGlW3VB9Q22wvWQahoR9/ArnSsRv8EoL7brbEb1Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T09:54:06.173618Z"},"content_sha256":"81698b70ff9c1823fb051504743bc085d40d69a45b9a0e4012bbdb3b01611854","schema_version":"1.0","event_id":"sha256:81698b70ff9c1823fb051504743bc085d40d69a45b9a0e4012bbdb3b01611854"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:NTSPMTLBY6C4YHCFQPTLNTMVXO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DynSess: Dynamic Session-Level Evaluation and Optimization Framework for Role-Playing Agents","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Jiji Tang, Junnan Ren, Rongsheng Zhang, Ruofan Hu, Tangjie Lv, Weijie Chen, Yan Zhang, Zhou Zhao, Zuyi Bao","submitted_at":"2026-05-28T02:20:11Z","abstract_excerpt":"Role-playing with large language models is fundamentally a session-level task, requiring agents to sustain character identity and interaction quality across extended multi-turn conversations. Yet existing evaluation and optimization methods remain largely turn-level, failing to capture long-horizon quality. We propose DynSess, a unified session-level framework for role-playing agents. DynSess-Eval scores complete dialogue sessions via rubrics targeting long-horizon behaviors. Leveraging its session-level rewards, we construct high-quality training trajectories through multi-turn lookahead sear"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.29256","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/2605.29256/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":"2026-05-29T01:05:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"X+YhYaLkcd4uwH77SxE2PzOD7tE2KkXMdKVhSq0GiA81B34wt0jV1mcXc+lY1miCvYFLIdU8aMCdqqp0+ma6AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T09:54:06.173992Z"},"content_sha256":"5d351c6c7d3cc2f9c3193e1d34c39969e1adbb4333b6bfdec450baba86fbb7af","schema_version":"1.0","event_id":"sha256:5d351c6c7d3cc2f9c3193e1d34c39969e1adbb4333b6bfdec450baba86fbb7af"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NTSPMTLBY6C4YHCFQPTLNTMVXO/bundle.json","state_url":"https://pith.science/pith/NTSPMTLBY6C4YHCFQPTLNTMVXO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NTSPMTLBY6C4YHCFQPTLNTMVXO/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":"2026-06-01T09:54:06Z","links":{"resolver":"https://pith.science/pith/NTSPMTLBY6C4YHCFQPTLNTMVXO","bundle":"https://pith.science/pith/NTSPMTLBY6C4YHCFQPTLNTMVXO/bundle.json","state":"https://pith.science/pith/NTSPMTLBY6C4YHCFQPTLNTMVXO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NTSPMTLBY6C4YHCFQPTLNTMVXO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:NTSPMTLBY6C4YHCFQPTLNTMVXO","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":"c58a0a1cba30f819418d8d9a3aa851a38803f1ea0ae7689887639b42702acc20","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-05-28T02:20:11Z","title_canon_sha256":"5e45f0c36d4a9ca008be711e7ef878a1f0f6320d3d372af6cc54bed103bb2f2c"},"schema_version":"1.0","source":{"id":"2605.29256","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.29256","created_at":"2026-05-29T01:05:27Z"},{"alias_kind":"arxiv_version","alias_value":"2605.29256v1","created_at":"2026-05-29T01:05:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.29256","created_at":"2026-05-29T01:05:27Z"},{"alias_kind":"pith_short_12","alias_value":"NTSPMTLBY6C4","created_at":"2026-05-29T01:05:27Z"},{"alias_kind":"pith_short_16","alias_value":"NTSPMTLBY6C4YHCF","created_at":"2026-05-29T01:05:27Z"},{"alias_kind":"pith_short_8","alias_value":"NTSPMTLB","created_at":"2026-05-29T01:05:27Z"}],"graph_snapshots":[{"event_id":"sha256:5d351c6c7d3cc2f9c3193e1d34c39969e1adbb4333b6bfdec450baba86fbb7af","target":"graph","created_at":"2026-05-29T01:05:27Z","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/2605.29256/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Role-playing with large language models is fundamentally a session-level task, requiring agents to sustain character identity and interaction quality across extended multi-turn conversations. Yet existing evaluation and optimization methods remain largely turn-level, failing to capture long-horizon quality. We propose DynSess, a unified session-level framework for role-playing agents. DynSess-Eval scores complete dialogue sessions via rubrics targeting long-horizon behaviors. Leveraging its session-level rewards, we construct high-quality training trajectories through multi-turn lookahead sear","authors_text":"Jiji Tang, Junnan Ren, Rongsheng Zhang, Ruofan Hu, Tangjie Lv, Weijie Chen, Yan Zhang, Zhou Zhao, Zuyi Bao","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-05-28T02:20:11Z","title":"DynSess: Dynamic Session-Level Evaluation and Optimization Framework for Role-Playing Agents"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.29256","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":"sha256:81698b70ff9c1823fb051504743bc085d40d69a45b9a0e4012bbdb3b01611854","target":"record","created_at":"2026-05-29T01:05:27Z","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":"c58a0a1cba30f819418d8d9a3aa851a38803f1ea0ae7689887639b42702acc20","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-05-28T02:20:11Z","title_canon_sha256":"5e45f0c36d4a9ca008be711e7ef878a1f0f6320d3d372af6cc54bed103bb2f2c"},"schema_version":"1.0","source":{"id":"2605.29256","kind":"arxiv","version":1}},"canonical_sha256":"6ce4f64d61c785cc1c4583e6b6cd95bb92ef6e5be41a4f2ddffb1d4cfecb4e01","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6ce4f64d61c785cc1c4583e6b6cd95bb92ef6e5be41a4f2ddffb1d4cfecb4e01","first_computed_at":"2026-05-29T01:05:27.514378Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-29T01:05:27.514378Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"F4rd9CVPEqnORJ5Iy++2y6AyFXerviZ8YUsEwT6tnvG6Oxv5PDnsGvNrcz7rHSdeNgv0XOLMHGRnFs5GDFDYBA==","signature_status":"signed_v1","signed_at":"2026-05-29T01:05:27.515230Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.29256","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:81698b70ff9c1823fb051504743bc085d40d69a45b9a0e4012bbdb3b01611854","sha256:5d351c6c7d3cc2f9c3193e1d34c39969e1adbb4333b6bfdec450baba86fbb7af"],"state_sha256":"0615cec87da7ebc08d9bccfb5f28070327b7773b4d067dd69c165b89a3e601a5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fRzR27E7WN9TWNgE5L2b1Yvhly6rQe/LaKf2xc1MNuDr+TcNB/bpPZ8Ik+IYbqLeucGd9NFe7nQOqodrL/WpAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-01T09:54:06.176068Z","bundle_sha256":"e6c9d8a0fa0c228f852ec26e7906573f013b5477e8c1334fd52c02e70ca16780"}}