{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:OVV6Y4QNVI3U6FSYLO27CNLQKR","short_pith_number":"pith:OVV6Y4QN","canonical_record":{"source":{"id":"2606.09730","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-08T16:52:26Z","cross_cats_sorted":[],"title_canon_sha256":"310da79ffddabfe428772377f6f6ca6dd9ae26c659b74fc565892ac9e598b584","abstract_canon_sha256":"197a4e203c1759c49213ed6e64e14730ac9ac1dfe3f6a658429f88b48bf2acc0"},"schema_version":"1.0"},"canonical_sha256":"756bec720daa374f16585bb5f1357054428fb3e822735b51385d66353048c679","source":{"kind":"arxiv","id":"2606.09730","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.09730","created_at":"2026-06-09T02:09:06Z"},{"alias_kind":"arxiv_version","alias_value":"2606.09730v1","created_at":"2026-06-09T02:09:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.09730","created_at":"2026-06-09T02:09:06Z"},{"alias_kind":"pith_short_12","alias_value":"OVV6Y4QNVI3U","created_at":"2026-06-09T02:09:06Z"},{"alias_kind":"pith_short_16","alias_value":"OVV6Y4QNVI3U6FSY","created_at":"2026-06-09T02:09:06Z"},{"alias_kind":"pith_short_8","alias_value":"OVV6Y4QN","created_at":"2026-06-09T02:09:06Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:OVV6Y4QNVI3U6FSYLO27CNLQKR","target":"record","payload":{"canonical_record":{"source":{"id":"2606.09730","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-08T16:52:26Z","cross_cats_sorted":[],"title_canon_sha256":"310da79ffddabfe428772377f6f6ca6dd9ae26c659b74fc565892ac9e598b584","abstract_canon_sha256":"197a4e203c1759c49213ed6e64e14730ac9ac1dfe3f6a658429f88b48bf2acc0"},"schema_version":"1.0"},"canonical_sha256":"756bec720daa374f16585bb5f1357054428fb3e822735b51385d66353048c679","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-09T02:09:06.469848Z","signature_b64":"mokA+HtAX/RXVsv10Mh5nfnrEjRvQ7JWZPguZzhddqAS+nY3mtD70Gz4aiwqUlkj4/r7Brrb4oaAY+MqY43HAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"756bec720daa374f16585bb5f1357054428fb3e822735b51385d66353048c679","last_reissued_at":"2026-06-09T02:09:06.468981Z","signature_status":"signed_v1","first_computed_at":"2026-06-09T02:09:06.468981Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.09730","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":"2026-06-09T02:09:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/MMM9aeMy6kAk61ppRLbTlL0GigPHHUmoozqnmaywjSUDGHVgL8/es0gPJktUgezlGa0yQPUbnupygY8KTwJBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-03T03:19:22.897372Z"},"content_sha256":"c5a5bba466dc43b862d6b37ddbf55b3c9dc62c2f2ad134d9b41a16159f3fc381","schema_version":"1.0","event_id":"sha256:c5a5bba466dc43b862d6b37ddbf55b3c9dc62c2f2ad134d9b41a16159f3fc381"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:OVV6Y4QNVI3U6FSYLO27CNLQKR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SearchSwarm: Towards Delegation Intelligence in Agentic LLMs for Long-Horizon Deep Research","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Jun Zhou, Kun Tao, Pu Ning, Qianggang Cao, Quan Chen, Tianshu Wang, Xinyu Kong, Xinyu Tang, Zhiqiang Zhang, Zujie Wen","submitted_at":"2026-06-08T16:52:26Z","abstract_excerpt":"Large language models are increasingly expected to handle complex, long-horizon real-world tasks whose context demands can grow without bound, yet model context windows remain inherently finite. Recent work explores a paradigm where a main agent decomposes tasks and dispatches subtasks to subagents, which execute and return only summarized results, conserving the main agent's context budget. However, performing this well requires delegation intelligence: the ability to decompose complex tasks, determine when and what to delegate, and integrate returned results into the ongoing workflow. Traini"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.09730","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/2606.09730/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":"2026-06-09T02:09:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pJWoIqgM6xCNVMvt/I2LsW300ADnu8FslOsB7ncrl3eMkjyponGkKUxSeByiYlGErFCtuolvjtRUS/XYen1rDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-03T03:19:22.897756Z"},"content_sha256":"1799336edfdb3898b36b10bd07333848d51c2a10fb103276fdfedb9e01edd351","schema_version":"1.0","event_id":"sha256:1799336edfdb3898b36b10bd07333848d51c2a10fb103276fdfedb9e01edd351"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OVV6Y4QNVI3U6FSYLO27CNLQKR/bundle.json","state_url":"https://pith.science/pith/OVV6Y4QNVI3U6FSYLO27CNLQKR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OVV6Y4QNVI3U6FSYLO27CNLQKR/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":"2026-07-03T03:19:22Z","links":{"resolver":"https://pith.science/pith/OVV6Y4QNVI3U6FSYLO27CNLQKR","bundle":"https://pith.science/pith/OVV6Y4QNVI3U6FSYLO27CNLQKR/bundle.json","state":"https://pith.science/pith/OVV6Y4QNVI3U6FSYLO27CNLQKR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OVV6Y4QNVI3U6FSYLO27CNLQKR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:OVV6Y4QNVI3U6FSYLO27CNLQKR","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":"197a4e203c1759c49213ed6e64e14730ac9ac1dfe3f6a658429f88b48bf2acc0","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-08T16:52:26Z","title_canon_sha256":"310da79ffddabfe428772377f6f6ca6dd9ae26c659b74fc565892ac9e598b584"},"schema_version":"1.0","source":{"id":"2606.09730","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.09730","created_at":"2026-06-09T02:09:06Z"},{"alias_kind":"arxiv_version","alias_value":"2606.09730v1","created_at":"2026-06-09T02:09:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.09730","created_at":"2026-06-09T02:09:06Z"},{"alias_kind":"pith_short_12","alias_value":"OVV6Y4QNVI3U","created_at":"2026-06-09T02:09:06Z"},{"alias_kind":"pith_short_16","alias_value":"OVV6Y4QNVI3U6FSY","created_at":"2026-06-09T02:09:06Z"},{"alias_kind":"pith_short_8","alias_value":"OVV6Y4QN","created_at":"2026-06-09T02:09:06Z"}],"graph_snapshots":[{"event_id":"sha256:1799336edfdb3898b36b10bd07333848d51c2a10fb103276fdfedb9e01edd351","target":"graph","created_at":"2026-06-09T02:09:06Z","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/2606.09730/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models are increasingly expected to handle complex, long-horizon real-world tasks whose context demands can grow without bound, yet model context windows remain inherently finite. Recent work explores a paradigm where a main agent decomposes tasks and dispatches subtasks to subagents, which execute and return only summarized results, conserving the main agent's context budget. However, performing this well requires delegation intelligence: the ability to decompose complex tasks, determine when and what to delegate, and integrate returned results into the ongoing workflow. Traini","authors_text":"Jun Zhou, Kun Tao, Pu Ning, Qianggang Cao, Quan Chen, Tianshu Wang, Xinyu Kong, Xinyu Tang, Zhiqiang Zhang, Zujie Wen","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-08T16:52:26Z","title":"SearchSwarm: Towards Delegation Intelligence in Agentic LLMs for Long-Horizon Deep Research"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.09730","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:c5a5bba466dc43b862d6b37ddbf55b3c9dc62c2f2ad134d9b41a16159f3fc381","target":"record","created_at":"2026-06-09T02:09:06Z","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":"197a4e203c1759c49213ed6e64e14730ac9ac1dfe3f6a658429f88b48bf2acc0","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-08T16:52:26Z","title_canon_sha256":"310da79ffddabfe428772377f6f6ca6dd9ae26c659b74fc565892ac9e598b584"},"schema_version":"1.0","source":{"id":"2606.09730","kind":"arxiv","version":1}},"canonical_sha256":"756bec720daa374f16585bb5f1357054428fb3e822735b51385d66353048c679","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"756bec720daa374f16585bb5f1357054428fb3e822735b51385d66353048c679","first_computed_at":"2026-06-09T02:09:06.468981Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-09T02:09:06.468981Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mokA+HtAX/RXVsv10Mh5nfnrEjRvQ7JWZPguZzhddqAS+nY3mtD70Gz4aiwqUlkj4/r7Brrb4oaAY+MqY43HAQ==","signature_status":"signed_v1","signed_at":"2026-06-09T02:09:06.469848Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.09730","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c5a5bba466dc43b862d6b37ddbf55b3c9dc62c2f2ad134d9b41a16159f3fc381","sha256:1799336edfdb3898b36b10bd07333848d51c2a10fb103276fdfedb9e01edd351"],"state_sha256":"29676e36cd8693894ce95afb331f13660d16e28fcf79051a52492c750c2ca73f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fk02S/IbKo/EbMKcM4BQMBBMt5pCzgv1NVVZbXBT6ZR0k1oOdRGH3TWXvyASw1Lf41VxbNMTUsxQqHI21Q5NCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-03T03:19:22.899847Z","bundle_sha256":"9a8ce58c7de5bf0af69909df444f2aaa86f48fa4af236c5da4311c42f26cb579"}}