{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:BUGAF7HSOMKARNPU3MRMMVED4U","short_pith_number":"pith:BUGAF7HS","canonical_record":{"source":{"id":"2511.19314","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-11-24T17:09:43Z","cross_cats_sorted":["cs.CL","cs.LG"],"title_canon_sha256":"275e963954bdf57e971afd12360858e34d0ac4c7b53693bd5e538f47435a3741","abstract_canon_sha256":"417c9f116a33bdf2b58e65a8e995e35d1513461bd541e8a4b9fc34d73cd8a86b"},"schema_version":"1.0"},"canonical_sha256":"0d0c02fcf2731408b5f4db22c65483e52ef957464647cbd23e0cc7072d0ffa4c","source":{"kind":"arxiv","id":"2511.19314","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2511.19314","created_at":"2026-06-11T00:08:11Z"},{"alias_kind":"arxiv_version","alias_value":"2511.19314v2","created_at":"2026-06-11T00:08:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2511.19314","created_at":"2026-06-11T00:08:11Z"},{"alias_kind":"pith_short_12","alias_value":"BUGAF7HSOMKA","created_at":"2026-06-11T00:08:11Z"},{"alias_kind":"pith_short_16","alias_value":"BUGAF7HSOMKARNPU","created_at":"2026-06-11T00:08:11Z"},{"alias_kind":"pith_short_8","alias_value":"BUGAF7HS","created_at":"2026-06-11T00:08:11Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:BUGAF7HSOMKARNPU3MRMMVED4U","target":"record","payload":{"canonical_record":{"source":{"id":"2511.19314","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-11-24T17:09:43Z","cross_cats_sorted":["cs.CL","cs.LG"],"title_canon_sha256":"275e963954bdf57e971afd12360858e34d0ac4c7b53693bd5e538f47435a3741","abstract_canon_sha256":"417c9f116a33bdf2b58e65a8e995e35d1513461bd541e8a4b9fc34d73cd8a86b"},"schema_version":"1.0"},"canonical_sha256":"0d0c02fcf2731408b5f4db22c65483e52ef957464647cbd23e0cc7072d0ffa4c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-11T00:08:11.834040Z","signature_b64":"6GML3w8Y1c38eTOoqD7MsICtOZAWVvhIj3uZtWbPN7PjOjguJVsc91aeYsKDxREwkSdb7KhuTovvA9pH0zSrAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0d0c02fcf2731408b5f4db22c65483e52ef957464647cbd23e0cc7072d0ffa4c","last_reissued_at":"2026-06-11T00:08:11.832880Z","signature_status":"signed_v1","first_computed_at":"2026-06-11T00:08:11.832880Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2511.19314","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-06-11T00:08:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"u9f8/XYPamBRnZVYeV5L6R25ckpB9MaHbhcl76heJaSVXkuMEQeSYAvgJmnZv92u+IHp7+AXRPArkA0hoC1eCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-11T10:31:01.273906Z"},"content_sha256":"5783966dde945217db091b0002f31360d0cd4abbbb62bfde40165bcc26dcbd9f","schema_version":"1.0","event_id":"sha256:5783966dde945217db091b0002f31360d0cd4abbbb62bfde40165bcc26dcbd9f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:BUGAF7HSOMKARNPU3MRMMVED4U","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"PRInTS: Reward Modeling for Long-Horizon Information Seeking","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL","cs.LG"],"primary_cat":"cs.AI","authors_text":"Archiki Prasad, Elias Stengel-Eskin, Jaewoo Lee, Justin Chih-Yao Chen, Mohit Bansal, Zaid Khan","submitted_at":"2025-11-24T17:09:43Z","abstract_excerpt":"Information-seeking is a core capability for AI agents, requiring them to gather and reason over tool-generated information across long trajectories. However, such multi-step information-seeking tasks remain challenging for agents backed by language models. While process reward models (PRMs) can guide agents by ranking candidate steps at test-time, existing PRMs - designed for short reasoning with binary judgment - cannot capture richer dimensions of information-seeking steps, such as tool interactions and reasoning over tool outputs, nor handle the rapidly growing context in long-horizon task"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2511.19314","kind":"arxiv","version":2},"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/2511.19314/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":"2026-06-11T00:08:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OA0Oh/Zux+vUqMFqTGGDHksxCxwOfOLeCjKuOuZCaR457EPfCYwDWR1tBtMoMQDTJw7PO0BRcEo0HuzR2p5LCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-11T10:31:01.274298Z"},"content_sha256":"8c59a1551c88f2f4f1f9d1ede2f34e65ff64558acfd675c9e1c9ca82a4d4582b","schema_version":"1.0","event_id":"sha256:8c59a1551c88f2f4f1f9d1ede2f34e65ff64558acfd675c9e1c9ca82a4d4582b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BUGAF7HSOMKARNPU3MRMMVED4U/bundle.json","state_url":"https://pith.science/pith/BUGAF7HSOMKARNPU3MRMMVED4U/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BUGAF7HSOMKARNPU3MRMMVED4U/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":"2026-06-11T10:31:01Z","links":{"resolver":"https://pith.science/pith/BUGAF7HSOMKARNPU3MRMMVED4U","bundle":"https://pith.science/pith/BUGAF7HSOMKARNPU3MRMMVED4U/bundle.json","state":"https://pith.science/pith/BUGAF7HSOMKARNPU3MRMMVED4U/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BUGAF7HSOMKARNPU3MRMMVED4U/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:BUGAF7HSOMKARNPU3MRMMVED4U","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":"417c9f116a33bdf2b58e65a8e995e35d1513461bd541e8a4b9fc34d73cd8a86b","cross_cats_sorted":["cs.CL","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-11-24T17:09:43Z","title_canon_sha256":"275e963954bdf57e971afd12360858e34d0ac4c7b53693bd5e538f47435a3741"},"schema_version":"1.0","source":{"id":"2511.19314","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2511.19314","created_at":"2026-06-11T00:08:11Z"},{"alias_kind":"arxiv_version","alias_value":"2511.19314v2","created_at":"2026-06-11T00:08:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2511.19314","created_at":"2026-06-11T00:08:11Z"},{"alias_kind":"pith_short_12","alias_value":"BUGAF7HSOMKA","created_at":"2026-06-11T00:08:11Z"},{"alias_kind":"pith_short_16","alias_value":"BUGAF7HSOMKARNPU","created_at":"2026-06-11T00:08:11Z"},{"alias_kind":"pith_short_8","alias_value":"BUGAF7HS","created_at":"2026-06-11T00:08:11Z"}],"graph_snapshots":[{"event_id":"sha256:8c59a1551c88f2f4f1f9d1ede2f34e65ff64558acfd675c9e1c9ca82a4d4582b","target":"graph","created_at":"2026-06-11T00:08:11Z","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/2511.19314/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Information-seeking is a core capability for AI agents, requiring them to gather and reason over tool-generated information across long trajectories. However, such multi-step information-seeking tasks remain challenging for agents backed by language models. While process reward models (PRMs) can guide agents by ranking candidate steps at test-time, existing PRMs - designed for short reasoning with binary judgment - cannot capture richer dimensions of information-seeking steps, such as tool interactions and reasoning over tool outputs, nor handle the rapidly growing context in long-horizon task","authors_text":"Archiki Prasad, Elias Stengel-Eskin, Jaewoo Lee, Justin Chih-Yao Chen, Mohit Bansal, Zaid Khan","cross_cats":["cs.CL","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-11-24T17:09:43Z","title":"PRInTS: Reward Modeling for Long-Horizon Information Seeking"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2511.19314","kind":"arxiv","version":2},"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":"sha256:5783966dde945217db091b0002f31360d0cd4abbbb62bfde40165bcc26dcbd9f","target":"record","created_at":"2026-06-11T00:08:11Z","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":"417c9f116a33bdf2b58e65a8e995e35d1513461bd541e8a4b9fc34d73cd8a86b","cross_cats_sorted":["cs.CL","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-11-24T17:09:43Z","title_canon_sha256":"275e963954bdf57e971afd12360858e34d0ac4c7b53693bd5e538f47435a3741"},"schema_version":"1.0","source":{"id":"2511.19314","kind":"arxiv","version":2}},"canonical_sha256":"0d0c02fcf2731408b5f4db22c65483e52ef957464647cbd23e0cc7072d0ffa4c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0d0c02fcf2731408b5f4db22c65483e52ef957464647cbd23e0cc7072d0ffa4c","first_computed_at":"2026-06-11T00:08:11.832880Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-11T00:08:11.832880Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6GML3w8Y1c38eTOoqD7MsICtOZAWVvhIj3uZtWbPN7PjOjguJVsc91aeYsKDxREwkSdb7KhuTovvA9pH0zSrAA==","signature_status":"signed_v1","signed_at":"2026-06-11T00:08:11.834040Z","signed_message":"canonical_sha256_bytes"},"source_id":"2511.19314","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5783966dde945217db091b0002f31360d0cd4abbbb62bfde40165bcc26dcbd9f","sha256:8c59a1551c88f2f4f1f9d1ede2f34e65ff64558acfd675c9e1c9ca82a4d4582b"],"state_sha256":"e193adc42f6c0a74b659074b2d3b0316b247cfeaa2a3111c2730fe5a68dfdd32"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jYXJyUZeWm4fJLmfnxV872xiG4NJLV/5MfBW1yEOekko3aRZsZ7FUu3ca//kunTpnqsJlO9k3Qoan9qFt/dTCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-11T10:31:01.276731Z","bundle_sha256":"3a371ed9a7e8b525ab900a5258f4e1f9f138ce7111278530b384af22b8d4d68d"}}