{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:JOHOYAFERAMIVTPWRH3Z3ITPSZ","short_pith_number":"pith:JOHOYAFE","canonical_record":{"source":{"id":"2508.03680","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-08-05T17:50:13Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"9ec465f97a8d928af0585482422cd3699aac94a38abade17a37fd64c577cc648","abstract_canon_sha256":"a6665a995fbe8ae9b4ae66059652e9f06fc98db8af08ae2ffbe171e817126907"},"schema_version":"1.0"},"canonical_sha256":"4b8eec00a488188acdf689f79da26f96597b357d676fa774e4d82472ae60ee57","source":{"kind":"arxiv","id":"2508.03680","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.03680","created_at":"2026-07-05T11:49:01Z"},{"alias_kind":"arxiv_version","alias_value":"2508.03680v1","created_at":"2026-07-05T11:49:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.03680","created_at":"2026-07-05T11:49:01Z"},{"alias_kind":"pith_short_12","alias_value":"JOHOYAFERAMI","created_at":"2026-07-05T11:49:01Z"},{"alias_kind":"pith_short_16","alias_value":"JOHOYAFERAMIVTPW","created_at":"2026-07-05T11:49:01Z"},{"alias_kind":"pith_short_8","alias_value":"JOHOYAFE","created_at":"2026-07-05T11:49:01Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:JOHOYAFERAMIVTPWRH3Z3ITPSZ","target":"record","payload":{"canonical_record":{"source":{"id":"2508.03680","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-08-05T17:50:13Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"9ec465f97a8d928af0585482422cd3699aac94a38abade17a37fd64c577cc648","abstract_canon_sha256":"a6665a995fbe8ae9b4ae66059652e9f06fc98db8af08ae2ffbe171e817126907"},"schema_version":"1.0"},"canonical_sha256":"4b8eec00a488188acdf689f79da26f96597b357d676fa774e4d82472ae60ee57","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:49:01.057308Z","signature_b64":"PGD7sk+IhldWnmLgHq+P8l2FcYeKZFOBzQH+nKiCieyvpFKNmBRnWsklGSa+R1/60kRMpMBXc4YJ+23/LhCJCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4b8eec00a488188acdf689f79da26f96597b357d676fa774e4d82472ae60ee57","last_reissued_at":"2026-07-05T11:49:01.056792Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:49:01.056792Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2508.03680","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":"2026-07-05T11:49:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eny2QP0xtVSMZIyxa2sX2Xu/5jdSDw4gomcJDIcym4X1Xz1qWPCslLTqMvFKySmhTYITeys/3ANg7S9u7rpiDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T15:36:51.422272Z"},"content_sha256":"e0c8a2e4822790fa5ce3dbc8afb826166825aa73814d79281818cac54c6e727b","schema_version":"1.0","event_id":"sha256:e0c8a2e4822790fa5ce3dbc8afb826166825aa73814d79281818cac54c6e727b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:JOHOYAFERAMIVTPWRH3Z3ITPSZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Agent Lightning: Train ANY AI Agents with Reinforcement Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.AI","authors_text":"Dongsheng Li, Luna K. Qiu, Siyun Zhao, Xufang Luo, Yuge Zhang, Yuqing Yang, Zhiyuan He, Zilong Wang","submitted_at":"2025-08-05T17:50:13Z","abstract_excerpt":"We present Agent Lightning, a flexible and extensible framework that enables Reinforcement Learning (RL)-based training of Large Language Models (LLMs) for any AI agent. Unlike existing methods that tightly couple RL training with agent or rely on sequence concatenation with masking, Agent Lightning achieves complete decoupling between agent execution and training, allowing seamless integration with existing agents developed via diverse ways (e.g., using frameworks like LangChain, OpenAI Agents SDK, AutoGen, and building from scratch) with almost ZERO code modifications. By formulating agent e"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.03680","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/2508.03680/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":"2026-07-05T11:49:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7wSLze2KFfZYXuC8D9BjizBuBQ2PkD9TgH7nIk3w1tb7vi/RYOApTXGpTovbROXYEusVLYD6xrtmPVTYewaBAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T15:36:51.422675Z"},"content_sha256":"84619c9a88c97e06294aff02a13237add1a763fb1ea3567d71477613a81d0efc","schema_version":"1.0","event_id":"sha256:84619c9a88c97e06294aff02a13237add1a763fb1ea3567d71477613a81d0efc"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JOHOYAFERAMIVTPWRH3Z3ITPSZ/bundle.json","state_url":"https://pith.science/pith/JOHOYAFERAMIVTPWRH3Z3ITPSZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JOHOYAFERAMIVTPWRH3Z3ITPSZ/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":"2026-07-08T15:36:51Z","links":{"resolver":"https://pith.science/pith/JOHOYAFERAMIVTPWRH3Z3ITPSZ","bundle":"https://pith.science/pith/JOHOYAFERAMIVTPWRH3Z3ITPSZ/bundle.json","state":"https://pith.science/pith/JOHOYAFERAMIVTPWRH3Z3ITPSZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JOHOYAFERAMIVTPWRH3Z3ITPSZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:JOHOYAFERAMIVTPWRH3Z3ITPSZ","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":"a6665a995fbe8ae9b4ae66059652e9f06fc98db8af08ae2ffbe171e817126907","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-08-05T17:50:13Z","title_canon_sha256":"9ec465f97a8d928af0585482422cd3699aac94a38abade17a37fd64c577cc648"},"schema_version":"1.0","source":{"id":"2508.03680","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.03680","created_at":"2026-07-05T11:49:01Z"},{"alias_kind":"arxiv_version","alias_value":"2508.03680v1","created_at":"2026-07-05T11:49:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.03680","created_at":"2026-07-05T11:49:01Z"},{"alias_kind":"pith_short_12","alias_value":"JOHOYAFERAMI","created_at":"2026-07-05T11:49:01Z"},{"alias_kind":"pith_short_16","alias_value":"JOHOYAFERAMIVTPW","created_at":"2026-07-05T11:49:01Z"},{"alias_kind":"pith_short_8","alias_value":"JOHOYAFE","created_at":"2026-07-05T11:49:01Z"}],"graph_snapshots":[{"event_id":"sha256:84619c9a88c97e06294aff02a13237add1a763fb1ea3567d71477613a81d0efc","target":"graph","created_at":"2026-07-05T11:49:01Z","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/2508.03680/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present Agent Lightning, a flexible and extensible framework that enables Reinforcement Learning (RL)-based training of Large Language Models (LLMs) for any AI agent. Unlike existing methods that tightly couple RL training with agent or rely on sequence concatenation with masking, Agent Lightning achieves complete decoupling between agent execution and training, allowing seamless integration with existing agents developed via diverse ways (e.g., using frameworks like LangChain, OpenAI Agents SDK, AutoGen, and building from scratch) with almost ZERO code modifications. By formulating agent e","authors_text":"Dongsheng Li, Luna K. Qiu, Siyun Zhao, Xufang Luo, Yuge Zhang, Yuqing Yang, Zhiyuan He, Zilong Wang","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-08-05T17:50:13Z","title":"Agent Lightning: Train ANY AI Agents with Reinforcement Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.03680","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:e0c8a2e4822790fa5ce3dbc8afb826166825aa73814d79281818cac54c6e727b","target":"record","created_at":"2026-07-05T11:49:01Z","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":"a6665a995fbe8ae9b4ae66059652e9f06fc98db8af08ae2ffbe171e817126907","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-08-05T17:50:13Z","title_canon_sha256":"9ec465f97a8d928af0585482422cd3699aac94a38abade17a37fd64c577cc648"},"schema_version":"1.0","source":{"id":"2508.03680","kind":"arxiv","version":1}},"canonical_sha256":"4b8eec00a488188acdf689f79da26f96597b357d676fa774e4d82472ae60ee57","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4b8eec00a488188acdf689f79da26f96597b357d676fa774e4d82472ae60ee57","first_computed_at":"2026-07-05T11:49:01.056792Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:49:01.056792Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"PGD7sk+IhldWnmLgHq+P8l2FcYeKZFOBzQH+nKiCieyvpFKNmBRnWsklGSa+R1/60kRMpMBXc4YJ+23/LhCJCA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:49:01.057308Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.03680","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e0c8a2e4822790fa5ce3dbc8afb826166825aa73814d79281818cac54c6e727b","sha256:84619c9a88c97e06294aff02a13237add1a763fb1ea3567d71477613a81d0efc"],"state_sha256":"202e9ad8342130326ee278a0ebc045d24808af676732f4f4a218d28b4613ebce"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wVelsR/pV94NAjA4ijXjJbqsG3rf4I+1hHmlnyQge3YTDgkws8XHPxTTjTwDzxKmRedt+BIoQFwiOabuwfbtDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-08T15:36:51.425258Z","bundle_sha256":"4d1c12a5580b3a3942b3a37472fd1020899cc47d20d13925e0ebacd0128e616b"}}