{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:L5H73GYSWLTGV7XI7OSN3ZKUYV","short_pith_number":"pith:L5H73GYS","canonical_record":{"source":{"id":"2606.04507","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2026-06-03T06:38:19Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"411044713b587bd0039a2e1a514fc63176b153c1ab3e7600fa7c4bd1381db656","abstract_canon_sha256":"5eeb565ba03ef1c09eca51046279b44a41dd7745cfc9643eba650f7287ee595b"},"schema_version":"1.0"},"canonical_sha256":"5f4ffd9b12b2e66afee8fba4dde554c54f62deddbb3af17c272450f51b05e428","source":{"kind":"arxiv","id":"2606.04507","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.04507","created_at":"2026-06-04T01:09:15Z"},{"alias_kind":"arxiv_version","alias_value":"2606.04507v1","created_at":"2026-06-04T01:09:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.04507","created_at":"2026-06-04T01:09:15Z"},{"alias_kind":"pith_short_12","alias_value":"L5H73GYSWLTG","created_at":"2026-06-04T01:09:15Z"},{"alias_kind":"pith_short_16","alias_value":"L5H73GYSWLTGV7XI","created_at":"2026-06-04T01:09:15Z"},{"alias_kind":"pith_short_8","alias_value":"L5H73GYS","created_at":"2026-06-04T01:09:15Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:L5H73GYSWLTGV7XI7OSN3ZKUYV","target":"record","payload":{"canonical_record":{"source":{"id":"2606.04507","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2026-06-03T06:38:19Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"411044713b587bd0039a2e1a514fc63176b153c1ab3e7600fa7c4bd1381db656","abstract_canon_sha256":"5eeb565ba03ef1c09eca51046279b44a41dd7745cfc9643eba650f7287ee595b"},"schema_version":"1.0"},"canonical_sha256":"5f4ffd9b12b2e66afee8fba4dde554c54f62deddbb3af17c272450f51b05e428","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-04T01:09:15.032734Z","signature_b64":"hRUyWCBoNZuo0HAd/vze8EOMRhn+sTMdTL9H5Vz1yxfkvV0GuvmertULRScgb4bUtElOoFfFV7aqDNfdomV+DQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5f4ffd9b12b2e66afee8fba4dde554c54f62deddbb3af17c272450f51b05e428","last_reissued_at":"2026-06-04T01:09:15.032060Z","signature_status":"signed_v1","first_computed_at":"2026-06-04T01:09:15.032060Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.04507","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":"2026-06-04T01:09:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1HW7B2Mfj5ryHDGHcm691da6UGdxDgyXxhqWTBeX3n5TtqKadbMnAcRPWv3CNSRZq/i0WgYJbmJHHRU/4BFTBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-08T19:12:20.043267Z"},"content_sha256":"d549cbec54db2d5db1f3ce43ac56d8b6d5630f0b0482d738ed5ec7d5765cd702","schema_version":"1.0","event_id":"sha256:d549cbec54db2d5db1f3ce43ac56d8b6d5630f0b0482d738ed5ec7d5765cd702"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:L5H73GYSWLTGV7XI7OSN3ZKUYV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Self-Evolving Deep Research via Joint Generation and Evaluation","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Chengkun Cai, Han Zhu, Sirui Han, Xing Chen, Yike Guo, Yuanfeng Song","submitted_at":"2026-06-03T06:38:19Z","abstract_excerpt":"Large Language Models (LLMs) have become increasingly adopted in daily applications, with deep research standing out as a particularly important capability. Unlike traditional question-answering (QA) tasks, deep research report generation lacks definitive ground-truth, making reward design inherently unverifiable and limiting effective reinforcement learning. Existing approaches mitigate this challenge with LLM-as-a-judge and query-dependent evaluation rubrics, but they still rely on static evaluators that cannot adapt their standards as the solver improves, leading to insufficient and eventua"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.04507","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/2606.04507/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":"2026-06-04T01:09:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RE9lvCcOFjunWpT/gUvuka21tAIIIvhO9FyA+7DA6d4RZOQ4vy/RAZL7aSpRAQJbWtrMw1PE1Ep5anHoJbVOBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-08T19:12:20.043990Z"},"content_sha256":"76e9cc8b02e1b446a25f20032093dfad5a9eead491d39a8293155e68cc383de8","schema_version":"1.0","event_id":"sha256:76e9cc8b02e1b446a25f20032093dfad5a9eead491d39a8293155e68cc383de8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/L5H73GYSWLTGV7XI7OSN3ZKUYV/bundle.json","state_url":"https://pith.science/pith/L5H73GYSWLTGV7XI7OSN3ZKUYV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/L5H73GYSWLTGV7XI7OSN3ZKUYV/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":"2026-06-08T19:12:20Z","links":{"resolver":"https://pith.science/pith/L5H73GYSWLTGV7XI7OSN3ZKUYV","bundle":"https://pith.science/pith/L5H73GYSWLTGV7XI7OSN3ZKUYV/bundle.json","state":"https://pith.science/pith/L5H73GYSWLTGV7XI7OSN3ZKUYV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/L5H73GYSWLTGV7XI7OSN3ZKUYV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:L5H73GYSWLTGV7XI7OSN3ZKUYV","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":"5eeb565ba03ef1c09eca51046279b44a41dd7745cfc9643eba650f7287ee595b","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2026-06-03T06:38:19Z","title_canon_sha256":"411044713b587bd0039a2e1a514fc63176b153c1ab3e7600fa7c4bd1381db656"},"schema_version":"1.0","source":{"id":"2606.04507","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.04507","created_at":"2026-06-04T01:09:15Z"},{"alias_kind":"arxiv_version","alias_value":"2606.04507v1","created_at":"2026-06-04T01:09:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.04507","created_at":"2026-06-04T01:09:15Z"},{"alias_kind":"pith_short_12","alias_value":"L5H73GYSWLTG","created_at":"2026-06-04T01:09:15Z"},{"alias_kind":"pith_short_16","alias_value":"L5H73GYSWLTGV7XI","created_at":"2026-06-04T01:09:15Z"},{"alias_kind":"pith_short_8","alias_value":"L5H73GYS","created_at":"2026-06-04T01:09:15Z"}],"graph_snapshots":[{"event_id":"sha256:76e9cc8b02e1b446a25f20032093dfad5a9eead491d39a8293155e68cc383de8","target":"graph","created_at":"2026-06-04T01:09:15Z","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/2606.04507/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Language Models (LLMs) have become increasingly adopted in daily applications, with deep research standing out as a particularly important capability. Unlike traditional question-answering (QA) tasks, deep research report generation lacks definitive ground-truth, making reward design inherently unverifiable and limiting effective reinforcement learning. Existing approaches mitigate this challenge with LLM-as-a-judge and query-dependent evaluation rubrics, but they still rely on static evaluators that cannot adapt their standards as the solver improves, leading to insufficient and eventua","authors_text":"Chengkun Cai, Han Zhu, Sirui Han, Xing Chen, Yike Guo, Yuanfeng Song","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2026-06-03T06:38:19Z","title":"Self-Evolving Deep Research via Joint Generation and Evaluation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.04507","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:d549cbec54db2d5db1f3ce43ac56d8b6d5630f0b0482d738ed5ec7d5765cd702","target":"record","created_at":"2026-06-04T01:09:15Z","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":"5eeb565ba03ef1c09eca51046279b44a41dd7745cfc9643eba650f7287ee595b","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2026-06-03T06:38:19Z","title_canon_sha256":"411044713b587bd0039a2e1a514fc63176b153c1ab3e7600fa7c4bd1381db656"},"schema_version":"1.0","source":{"id":"2606.04507","kind":"arxiv","version":1}},"canonical_sha256":"5f4ffd9b12b2e66afee8fba4dde554c54f62deddbb3af17c272450f51b05e428","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5f4ffd9b12b2e66afee8fba4dde554c54f62deddbb3af17c272450f51b05e428","first_computed_at":"2026-06-04T01:09:15.032060Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-04T01:09:15.032060Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"hRUyWCBoNZuo0HAd/vze8EOMRhn+sTMdTL9H5Vz1yxfkvV0GuvmertULRScgb4bUtElOoFfFV7aqDNfdomV+DQ==","signature_status":"signed_v1","signed_at":"2026-06-04T01:09:15.032734Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.04507","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d549cbec54db2d5db1f3ce43ac56d8b6d5630f0b0482d738ed5ec7d5765cd702","sha256:76e9cc8b02e1b446a25f20032093dfad5a9eead491d39a8293155e68cc383de8"],"state_sha256":"854c52eba33592637dbe4915bb1fcb01f87079364e620043a2177207a75e59c6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fzAoyn6V1t7AKT8uQEAr+mPjWKYIWwYNDKMvKvXU7xjzy0wC1g0zriFEZebpm5B8HWWUp5XRN56u71g/YxmZBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-08T19:12:20.047720Z","bundle_sha256":"7a86ea06e793400694c060c1fe900353473b9d89a7c7d65d80492da4dfede97b"}}