{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:LSKGWY2INEABCNTQUHKIORPAPD","short_pith_number":"pith:LSKGWY2I","canonical_record":{"source":{"id":"2508.09303","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-08-12T19:38:21Z","cross_cats_sorted":["cs.AI","cs.IR"],"title_canon_sha256":"eb0e1e5da6740c9eb8d1858dd5babd24811000ac70a9a11ae37a01fcaeabacb5","abstract_canon_sha256":"58177831f59abbd8df2856f2d4ad3dc8eae506714e352b7ba173ac6fc6fad2a0"},"schema_version":"1.0"},"canonical_sha256":"5c946b63486900113670a1d48745e078d58b5814ca30f6cb24b52fbb54d485c9","source":{"kind":"arxiv","id":"2508.09303","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.09303","created_at":"2026-07-05T11:53:12Z"},{"alias_kind":"arxiv_version","alias_value":"2508.09303v1","created_at":"2026-07-05T11:53:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.09303","created_at":"2026-07-05T11:53:12Z"},{"alias_kind":"pith_short_12","alias_value":"LSKGWY2INEAB","created_at":"2026-07-05T11:53:12Z"},{"alias_kind":"pith_short_16","alias_value":"LSKGWY2INEABCNTQ","created_at":"2026-07-05T11:53:12Z"},{"alias_kind":"pith_short_8","alias_value":"LSKGWY2I","created_at":"2026-07-05T11:53:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:LSKGWY2INEABCNTQUHKIORPAPD","target":"record","payload":{"canonical_record":{"source":{"id":"2508.09303","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-08-12T19:38:21Z","cross_cats_sorted":["cs.AI","cs.IR"],"title_canon_sha256":"eb0e1e5da6740c9eb8d1858dd5babd24811000ac70a9a11ae37a01fcaeabacb5","abstract_canon_sha256":"58177831f59abbd8df2856f2d4ad3dc8eae506714e352b7ba173ac6fc6fad2a0"},"schema_version":"1.0"},"canonical_sha256":"5c946b63486900113670a1d48745e078d58b5814ca30f6cb24b52fbb54d485c9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:53:12.136307Z","signature_b64":"VTGmep56EMA+60V7wknagHOaeM8vPhJOrx8sCVaqHy2V/Tk0FBYUVJEdBHX/TvlC0C+rhAGlKZjCD4nyQ0yGAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5c946b63486900113670a1d48745e078d58b5814ca30f6cb24b52fbb54d485c9","last_reissued_at":"2026-07-05T11:53:12.135726Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:53:12.135726Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2508.09303","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":"2026-07-05T11:53:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ews+cab6+GTb99CXnkc4hX8MXxUgpXRROM/rcITEL4EqlPBHahd7Nhydvr3jm5skbfqLA/6CBJybV+LK7Ig0CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T07:01:04.480106Z"},"content_sha256":"7e775975b8dc2a8121814148a76470b821cbb4428577e618d0caac8802672306","schema_version":"1.0","event_id":"sha256:7e775975b8dc2a8121814148a76470b821cbb4428577e618d0caac8802672306"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:LSKGWY2INEABCNTQUHKIORPAPD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ParallelSearch: Train your LLMs to Decompose Query and Search Sub-queries in Parallel with Reinforcement Learning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.IR"],"primary_cat":"cs.CL","authors_text":"Aaditya Shukla, Anbang Xu, Japinder Singh, Rama Akkiraju, Shu Zhao, Tan Yu","submitted_at":"2025-08-12T19:38:21Z","abstract_excerpt":"Reasoning-augmented search agents such as Search-R1, trained via reinforcement learning with verifiable rewards (RLVR), demonstrate remarkable capabilities in multi-step information retrieval from external knowledge sources. These agents address the limitations of their parametric memory by dynamically gathering relevant facts to address complex reasoning tasks. However, existing approaches suffer from a fundamental architectural limitation: they process search queries strictly sequentially, even when handling inherently parallelizable and logically independent comparisons. This sequential bot"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.09303","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/2508.09303/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":"2026-07-05T11:53:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"r7aYqGdXJkHcfRKK/RQtoVCLRyCUf4zGv0HAC7ezA4LQzyGAw5kkJJu3QqYfPGZpZD6T8qEvewNdKR5QrIMvBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T07:01:04.480768Z"},"content_sha256":"c0f42389fa6a97fdcbbada4be196b67f4617498e9a7b66ea660e7f6d11853675","schema_version":"1.0","event_id":"sha256:c0f42389fa6a97fdcbbada4be196b67f4617498e9a7b66ea660e7f6d11853675"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LSKGWY2INEABCNTQUHKIORPAPD/bundle.json","state_url":"https://pith.science/pith/LSKGWY2INEABCNTQUHKIORPAPD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LSKGWY2INEABCNTQUHKIORPAPD/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":"2026-08-06T07:01:04Z","links":{"resolver":"https://pith.science/pith/LSKGWY2INEABCNTQUHKIORPAPD","bundle":"https://pith.science/pith/LSKGWY2INEABCNTQUHKIORPAPD/bundle.json","state":"https://pith.science/pith/LSKGWY2INEABCNTQUHKIORPAPD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LSKGWY2INEABCNTQUHKIORPAPD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:LSKGWY2INEABCNTQUHKIORPAPD","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":"58177831f59abbd8df2856f2d4ad3dc8eae506714e352b7ba173ac6fc6fad2a0","cross_cats_sorted":["cs.AI","cs.IR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-08-12T19:38:21Z","title_canon_sha256":"eb0e1e5da6740c9eb8d1858dd5babd24811000ac70a9a11ae37a01fcaeabacb5"},"schema_version":"1.0","source":{"id":"2508.09303","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.09303","created_at":"2026-07-05T11:53:12Z"},{"alias_kind":"arxiv_version","alias_value":"2508.09303v1","created_at":"2026-07-05T11:53:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.09303","created_at":"2026-07-05T11:53:12Z"},{"alias_kind":"pith_short_12","alias_value":"LSKGWY2INEAB","created_at":"2026-07-05T11:53:12Z"},{"alias_kind":"pith_short_16","alias_value":"LSKGWY2INEABCNTQ","created_at":"2026-07-05T11:53:12Z"},{"alias_kind":"pith_short_8","alias_value":"LSKGWY2I","created_at":"2026-07-05T11:53:12Z"}],"graph_snapshots":[{"event_id":"sha256:c0f42389fa6a97fdcbbada4be196b67f4617498e9a7b66ea660e7f6d11853675","target":"graph","created_at":"2026-07-05T11:53:12Z","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/2508.09303/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Reasoning-augmented search agents such as Search-R1, trained via reinforcement learning with verifiable rewards (RLVR), demonstrate remarkable capabilities in multi-step information retrieval from external knowledge sources. These agents address the limitations of their parametric memory by dynamically gathering relevant facts to address complex reasoning tasks. However, existing approaches suffer from a fundamental architectural limitation: they process search queries strictly sequentially, even when handling inherently parallelizable and logically independent comparisons. This sequential bot","authors_text":"Aaditya Shukla, Anbang Xu, Japinder Singh, Rama Akkiraju, Shu Zhao, Tan Yu","cross_cats":["cs.AI","cs.IR"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-08-12T19:38:21Z","title":"ParallelSearch: Train your LLMs to Decompose Query and Search Sub-queries in Parallel with Reinforcement Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.09303","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":"sha256:7e775975b8dc2a8121814148a76470b821cbb4428577e618d0caac8802672306","target":"record","created_at":"2026-07-05T11:53:12Z","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":"58177831f59abbd8df2856f2d4ad3dc8eae506714e352b7ba173ac6fc6fad2a0","cross_cats_sorted":["cs.AI","cs.IR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-08-12T19:38:21Z","title_canon_sha256":"eb0e1e5da6740c9eb8d1858dd5babd24811000ac70a9a11ae37a01fcaeabacb5"},"schema_version":"1.0","source":{"id":"2508.09303","kind":"arxiv","version":1}},"canonical_sha256":"5c946b63486900113670a1d48745e078d58b5814ca30f6cb24b52fbb54d485c9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5c946b63486900113670a1d48745e078d58b5814ca30f6cb24b52fbb54d485c9","first_computed_at":"2026-07-05T11:53:12.135726Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:53:12.135726Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"VTGmep56EMA+60V7wknagHOaeM8vPhJOrx8sCVaqHy2V/Tk0FBYUVJEdBHX/TvlC0C+rhAGlKZjCD4nyQ0yGAg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:53:12.136307Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.09303","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7e775975b8dc2a8121814148a76470b821cbb4428577e618d0caac8802672306","sha256:c0f42389fa6a97fdcbbada4be196b67f4617498e9a7b66ea660e7f6d11853675"],"state_sha256":"c5fc78e98b1b73d1e345de62cb0e787d78a19ddad8df03a7baaeb17107437b2f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Fk8EV7Yenww3NhcfBAmmwZFJ0zL1ZgsFo+KVpmEvdLRY6OMoI/p08tkxy5xE23B90o0lZyZMBV2QTtQLmUKvBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T07:01:04.484218Z","bundle_sha256":"baed46ac8281880a494c3cf4661b0e9a73728e54300aa6b606ca8feadc11dfb8"}}