{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:TDQ4JPLWKJPJGEFPTJAXZBFAMS","short_pith_number":"pith:TDQ4JPLW","schema_version":"1.0","canonical_sha256":"98e1c4bd76525e9310af9a417c84a06482c9d19384231f3ae7c98c005bd4223b","source":{"kind":"arxiv","id":"2606.28379","version":1},"attestation_state":"computed","paper":{"title":"LEDGER: Scaling Agentic Document Editing with Dependency-aware Graph Retrieval","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CL"],"primary_cat":"cs.IR","authors_text":"Baolin Peng, Hao Cheng, Huitian Jiao, Mike Hang Wang, Reza Davari, Si-Qing Chen, Tao Ge, Utkarsh Garg","submitted_at":"2026-06-19T17:35:05Z","abstract_excerpt":"We introduce LEDGER to tackle the novel context engineering challenge of agentic document editing, where localized edits to long, structured documents must be applied efficiently without breaking cross-references or semantic consistency. LEDGER constructs a lightweight dependency graph that explicitly models document structure, including hierarchical organization, explicit references, implicit dependencies, and semantic relationships. For each edit, graph-guided retrieval selects only the necessary context, avoiding full-document processing while preserving consistency. We evaluate LEDGER on a"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2606.28379","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2026-06-19T17:35:05Z","cross_cats_sorted":["cs.AI","cs.CL"],"title_canon_sha256":"a5ad8f75df839864b09c50dfe1b71fcaea559d2ab893e4bbc0ee9cb596f0872a","abstract_canon_sha256":"85488866d62124ecbebda8d94727d5e18abfe4555e182d716e25592b5b9a1642"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-30T00:15:12.452865Z","signature_b64":"cz5LOwcFHAAgZ/LHY+zDq4airXgOAPjls90QAPs1o/ak07UWiZLU68PzKrvNf+73H5V90hrgONzzl65cqQhiAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"98e1c4bd76525e9310af9a417c84a06482c9d19384231f3ae7c98c005bd4223b","last_reissued_at":"2026-06-30T00:15:12.452462Z","signature_status":"signed_v1","first_computed_at":"2026-06-30T00:15:12.452462Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"LEDGER: Scaling Agentic Document Editing with Dependency-aware Graph Retrieval","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CL"],"primary_cat":"cs.IR","authors_text":"Baolin Peng, Hao Cheng, Huitian Jiao, Mike Hang Wang, Reza Davari, Si-Qing Chen, Tao Ge, Utkarsh Garg","submitted_at":"2026-06-19T17:35:05Z","abstract_excerpt":"We introduce LEDGER to tackle the novel context engineering challenge of agentic document editing, where localized edits to long, structured documents must be applied efficiently without breaking cross-references or semantic consistency. LEDGER constructs a lightweight dependency graph that explicitly models document structure, including hierarchical organization, explicit references, implicit dependencies, and semantic relationships. For each edit, graph-guided retrieval selects only the necessary context, avoiding full-document processing while preserving consistency. We evaluate LEDGER on a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.28379","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/2606.28379/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2606.28379","created_at":"2026-06-30T00:15:12.452521+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.28379v1","created_at":"2026-06-30T00:15:12.452521+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.28379","created_at":"2026-06-30T00:15:12.452521+00:00"},{"alias_kind":"pith_short_12","alias_value":"TDQ4JPLWKJPJ","created_at":"2026-06-30T00:15:12.452521+00:00"},{"alias_kind":"pith_short_16","alias_value":"TDQ4JPLWKJPJGEFP","created_at":"2026-06-30T00:15:12.452521+00:00"},{"alias_kind":"pith_short_8","alias_value":"TDQ4JPLW","created_at":"2026-06-30T00:15:12.452521+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/TDQ4JPLWKJPJGEFPTJAXZBFAMS","json":"https://pith.science/pith/TDQ4JPLWKJPJGEFPTJAXZBFAMS.json","graph_json":"https://pith.science/api/pith-number/TDQ4JPLWKJPJGEFPTJAXZBFAMS/graph.json","events_json":"https://pith.science/api/pith-number/TDQ4JPLWKJPJGEFPTJAXZBFAMS/events.json","paper":"https://pith.science/paper/TDQ4JPLW"},"agent_actions":{"view_html":"https://pith.science/pith/TDQ4JPLWKJPJGEFPTJAXZBFAMS","download_json":"https://pith.science/pith/TDQ4JPLWKJPJGEFPTJAXZBFAMS.json","view_paper":"https://pith.science/paper/TDQ4JPLW","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.28379&json=true","fetch_graph":"https://pith.science/api/pith-number/TDQ4JPLWKJPJGEFPTJAXZBFAMS/graph.json","fetch_events":"https://pith.science/api/pith-number/TDQ4JPLWKJPJGEFPTJAXZBFAMS/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/TDQ4JPLWKJPJGEFPTJAXZBFAMS/action/timestamp_anchor","attest_storage":"https://pith.science/pith/TDQ4JPLWKJPJGEFPTJAXZBFAMS/action/storage_attestation","attest_author":"https://pith.science/pith/TDQ4JPLWKJPJGEFPTJAXZBFAMS/action/author_attestation","sign_citation":"https://pith.science/pith/TDQ4JPLWKJPJGEFPTJAXZBFAMS/action/citation_signature","submit_replication":"https://pith.science/pith/TDQ4JPLWKJPJGEFPTJAXZBFAMS/action/replication_record"}},"created_at":"2026-06-30T00:15:12.452521+00:00","updated_at":"2026-06-30T00:15:12.452521+00:00"}