{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:Y4EYQUXCWEGBHZSVL6XS76LRHE","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":"e9170be4fffebc36b1b58ba83907cc0988eff279307ebf7b09610141ffb7d2e2","cross_cats_sorted":["cs.AI","cs.IR","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-04-21T19:18:07Z","title_canon_sha256":"828b8333a3b4ca0980407bc106413674c07365c1559b87c474f49f65a43b5459"},"schema_version":"1.0","source":{"id":"2606.11199","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.11199","created_at":"2026-06-11T00:08:05Z"},{"alias_kind":"arxiv_version","alias_value":"2606.11199v1","created_at":"2026-06-11T00:08:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.11199","created_at":"2026-06-11T00:08:05Z"},{"alias_kind":"pith_short_12","alias_value":"Y4EYQUXCWEGB","created_at":"2026-06-11T00:08:05Z"},{"alias_kind":"pith_short_16","alias_value":"Y4EYQUXCWEGBHZSV","created_at":"2026-06-11T00:08:05Z"},{"alias_kind":"pith_short_8","alias_value":"Y4EYQUXC","created_at":"2026-06-11T00:08:05Z"}],"graph_snapshots":[{"event_id":"sha256:e34086a990171f9557504dc584a90d3b1254b6f701ebf419e6719fe2d4f51a5b","target":"graph","created_at":"2026-06-11T00:08:05Z","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/2606.11199/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present NightFeats, a structured multi-agent retrieval-augmented generation (RAG) system submitted to the MMU-RAGent competition at NeurIPS 2025, where it was awarded Best Dynamic Evaluation in the text-to-text track. Rather than targeting benchmark maximization, this work proposes a principled pipeline that decomposes knowledge synthesis into three coordinated phases: retrieval, curation, and composition, each governed by explicit intermediate representations and handoff contracts. Inspired by Agentic Context Engineering (ACE), the system introduces temporal-semantic reranking, bounded con","authors_text":"Naziha Aslam, Quentin Fever","cross_cats":["cs.AI","cs.IR","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-04-21T19:18:07Z","title":"NightFeats @ MMU-RAGent NeurIPS 2025: A Context-Optimized Multi-Agent RAG System for the Text-to-Text Track"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.11199","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":"sha256:6b0a42ff18984543990ffd101b34d372c8e8bb8c485a60c01e122abcd8963e0c","target":"record","created_at":"2026-06-11T00:08:05Z","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":"e9170be4fffebc36b1b58ba83907cc0988eff279307ebf7b09610141ffb7d2e2","cross_cats_sorted":["cs.AI","cs.IR","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-04-21T19:18:07Z","title_canon_sha256":"828b8333a3b4ca0980407bc106413674c07365c1559b87c474f49f65a43b5459"},"schema_version":"1.0","source":{"id":"2606.11199","kind":"arxiv","version":1}},"canonical_sha256":"c7098852e2b10c13e6555faf2ff971391b467f47a0c34ddb27b3146760b2be7e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c7098852e2b10c13e6555faf2ff971391b467f47a0c34ddb27b3146760b2be7e","first_computed_at":"2026-06-11T00:08:05.985630Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-11T00:08:05.985630Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"IcsAXOFqbpC7r3t97zkoc5VhYEKfFUNZQq3t0tEKiHhk70HIvcU4CAsyUkp1gChyIfU0ZyxR2fKqXPZEZ4nFDw==","signature_status":"signed_v1","signed_at":"2026-06-11T00:08:05.986623Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.11199","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6b0a42ff18984543990ffd101b34d372c8e8bb8c485a60c01e122abcd8963e0c","sha256:e34086a990171f9557504dc584a90d3b1254b6f701ebf419e6719fe2d4f51a5b"],"state_sha256":"0f59097036efdd43798af78f15c2a3a17ca8999cabefef5dfc165a6ac2ba19e3"}