{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:KC3WGQYPF377FZRCQ5PZQJZ5NP","short_pith_number":"pith:KC3WGQYP","canonical_record":{"source":{"id":"2606.29648","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2026-06-28T23:36:34Z","cross_cats_sorted":["cs.AI","cs.LG","cs.MA"],"title_canon_sha256":"da364daf86d9835c68dfe573f8629a6f4e2eab903a69e5f59c1fa4930f9fd16c","abstract_canon_sha256":"20e6a90f24e49607c8b81585464fa3b4546437bc35cef436efeba1b5ee10d6f7"},"schema_version":"1.0"},"canonical_sha256":"50b763430f2efff2e622875f98273d6bf7c88a0f432e46f8a1edd84a051d38f2","source":{"kind":"arxiv","id":"2606.29648","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.29648","created_at":"2026-06-30T02:17:28Z"},{"alias_kind":"arxiv_version","alias_value":"2606.29648v1","created_at":"2026-06-30T02:17:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.29648","created_at":"2026-06-30T02:17:28Z"},{"alias_kind":"pith_short_12","alias_value":"KC3WGQYPF377","created_at":"2026-06-30T02:17:28Z"},{"alias_kind":"pith_short_16","alias_value":"KC3WGQYPF377FZRC","created_at":"2026-06-30T02:17:28Z"},{"alias_kind":"pith_short_8","alias_value":"KC3WGQYP","created_at":"2026-06-30T02:17:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:KC3WGQYPF377FZRCQ5PZQJZ5NP","target":"record","payload":{"canonical_record":{"source":{"id":"2606.29648","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2026-06-28T23:36:34Z","cross_cats_sorted":["cs.AI","cs.LG","cs.MA"],"title_canon_sha256":"da364daf86d9835c68dfe573f8629a6f4e2eab903a69e5f59c1fa4930f9fd16c","abstract_canon_sha256":"20e6a90f24e49607c8b81585464fa3b4546437bc35cef436efeba1b5ee10d6f7"},"schema_version":"1.0"},"canonical_sha256":"50b763430f2efff2e622875f98273d6bf7c88a0f432e46f8a1edd84a051d38f2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-30T02:17:28.845898Z","signature_b64":"OUuSzBz4apBHAXbHZETJm1Oy1PdAdReuAwPZu57tvFaGdKjlbtJwNAOEmEsm0LbbCzksTqSDX44XeXvIyN3dAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"50b763430f2efff2e622875f98273d6bf7c88a0f432e46f8a1edd84a051d38f2","last_reissued_at":"2026-06-30T02:17:28.845168Z","signature_status":"signed_v1","first_computed_at":"2026-06-30T02:17:28.845168Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.29648","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":"2026-06-30T02:17:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ROwopNRh3I+VfNMY1chE72jGXlnsVM3tpIquRo17NH2CAayORe2/hVGUftWgZ22ESMGCyYiXRmZCV65MfkENBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-30T20:55:19.866292Z"},"content_sha256":"ac025c148fb645d9097ccd9951887a88d03cbeea5c1b2dea5dd0f1cc9eae7d55","schema_version":"1.0","event_id":"sha256:ac025c148fb645d9097ccd9951887a88d03cbeea5c1b2dea5dd0f1cc9eae7d55"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:KC3WGQYPF377FZRCQ5PZQJZ5NP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Hybrid Retriever Evolution for Multimodal Document Reasoning Agents","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.AI","cs.LG","cs.MA"],"primary_cat":"cs.CL","authors_text":"Bohan Yao, Shruthan Radhakrishna, Vikas Yadav","submitted_at":"2026-06-28T23:36:34Z","abstract_excerpt":"Different retrievers, including lexical, semantic, and multimodal approaches, provide highly complementary strengths for multimodal document understanding, yet most systems combine them through fixed pipelines that cannot adapt to the demands of individual reasoning steps. In this work, we ask whether retrieval orchestration itself can be learned as part of the reasoning process. We introduce a failure-driven evolution framework in which a meta-agent autonomously discovers how a tool-using task agent should coordinate diverse retrievers during multi-step document question answering. The meta-a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.29648","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/2606.29648/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":"2026-06-30T02:17:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MGgYIFe2W4pb1y0N1eNGOy1AS/jlV8bDRtKZGtqBW6FHpymmrTuiW97R1eZr/R8YCp9w9uW+DGs7bFIUpBZkAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-30T20:55:19.866702Z"},"content_sha256":"a518fcec49001817dd2e46965faa1a324c08f79bd78c6278594edebebf6bffc8","schema_version":"1.0","event_id":"sha256:a518fcec49001817dd2e46965faa1a324c08f79bd78c6278594edebebf6bffc8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KC3WGQYPF377FZRCQ5PZQJZ5NP/bundle.json","state_url":"https://pith.science/pith/KC3WGQYPF377FZRCQ5PZQJZ5NP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KC3WGQYPF377FZRCQ5PZQJZ5NP/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":"2026-06-30T20:55:19Z","links":{"resolver":"https://pith.science/pith/KC3WGQYPF377FZRCQ5PZQJZ5NP","bundle":"https://pith.science/pith/KC3WGQYPF377FZRCQ5PZQJZ5NP/bundle.json","state":"https://pith.science/pith/KC3WGQYPF377FZRCQ5PZQJZ5NP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KC3WGQYPF377FZRCQ5PZQJZ5NP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:KC3WGQYPF377FZRCQ5PZQJZ5NP","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":"20e6a90f24e49607c8b81585464fa3b4546437bc35cef436efeba1b5ee10d6f7","cross_cats_sorted":["cs.AI","cs.LG","cs.MA"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2026-06-28T23:36:34Z","title_canon_sha256":"da364daf86d9835c68dfe573f8629a6f4e2eab903a69e5f59c1fa4930f9fd16c"},"schema_version":"1.0","source":{"id":"2606.29648","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.29648","created_at":"2026-06-30T02:17:28Z"},{"alias_kind":"arxiv_version","alias_value":"2606.29648v1","created_at":"2026-06-30T02:17:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.29648","created_at":"2026-06-30T02:17:28Z"},{"alias_kind":"pith_short_12","alias_value":"KC3WGQYPF377","created_at":"2026-06-30T02:17:28Z"},{"alias_kind":"pith_short_16","alias_value":"KC3WGQYPF377FZRC","created_at":"2026-06-30T02:17:28Z"},{"alias_kind":"pith_short_8","alias_value":"KC3WGQYP","created_at":"2026-06-30T02:17:28Z"}],"graph_snapshots":[{"event_id":"sha256:a518fcec49001817dd2e46965faa1a324c08f79bd78c6278594edebebf6bffc8","target":"graph","created_at":"2026-06-30T02:17:28Z","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/2606.29648/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Different retrievers, including lexical, semantic, and multimodal approaches, provide highly complementary strengths for multimodal document understanding, yet most systems combine them through fixed pipelines that cannot adapt to the demands of individual reasoning steps. In this work, we ask whether retrieval orchestration itself can be learned as part of the reasoning process. We introduce a failure-driven evolution framework in which a meta-agent autonomously discovers how a tool-using task agent should coordinate diverse retrievers during multi-step document question answering. The meta-a","authors_text":"Bohan Yao, Shruthan Radhakrishna, Vikas Yadav","cross_cats":["cs.AI","cs.LG","cs.MA"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2026-06-28T23:36:34Z","title":"Hybrid Retriever Evolution for Multimodal Document Reasoning Agents"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.29648","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:ac025c148fb645d9097ccd9951887a88d03cbeea5c1b2dea5dd0f1cc9eae7d55","target":"record","created_at":"2026-06-30T02:17:28Z","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":"20e6a90f24e49607c8b81585464fa3b4546437bc35cef436efeba1b5ee10d6f7","cross_cats_sorted":["cs.AI","cs.LG","cs.MA"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2026-06-28T23:36:34Z","title_canon_sha256":"da364daf86d9835c68dfe573f8629a6f4e2eab903a69e5f59c1fa4930f9fd16c"},"schema_version":"1.0","source":{"id":"2606.29648","kind":"arxiv","version":1}},"canonical_sha256":"50b763430f2efff2e622875f98273d6bf7c88a0f432e46f8a1edd84a051d38f2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"50b763430f2efff2e622875f98273d6bf7c88a0f432e46f8a1edd84a051d38f2","first_computed_at":"2026-06-30T02:17:28.845168Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-30T02:17:28.845168Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"OUuSzBz4apBHAXbHZETJm1Oy1PdAdReuAwPZu57tvFaGdKjlbtJwNAOEmEsm0LbbCzksTqSDX44XeXvIyN3dAA==","signature_status":"signed_v1","signed_at":"2026-06-30T02:17:28.845898Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.29648","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ac025c148fb645d9097ccd9951887a88d03cbeea5c1b2dea5dd0f1cc9eae7d55","sha256:a518fcec49001817dd2e46965faa1a324c08f79bd78c6278594edebebf6bffc8"],"state_sha256":"48c58786cc98176b4c4307aad9eab384c3f53c57b48f498f3a611c9aff7bdc46"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"w6+vfAjIlAi7mFDS34j/PEQz6eYdRkgpe0OIcg9Uxzhn5EpAuXuA7J95ZQRahB3/Uu1awi+mD0WBuFUl3lmPCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-30T20:55:19.869068Z","bundle_sha256":"1bb95bc806b6772c5c704796ed0ce9ad1724bc5da0f7bc48a4c2090275d60a74"}}