{"as_of":"2026-08-08T14:28:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1cf7645dbef26e8633efb0abc49b5e43decb8f28d4ef105a9850bb84604e0f22","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":6,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":6,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":6,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":6,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:12:36.556976Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-13T21:13:16.671271Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.13213","last_updated":"2024-08-19T11:38:14Z","snapshot_observed_at":"2026-07-06T18:33:28.511600Z","submitted_at":"2024-06-19T04:53:48Z","title":"Multi-Meta-RAG: Improving RAG for Multi-Hop Queries using Database Filtering with LLM-Extracted Metadata","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.13213","snapshot_observed_at":"2026-08-07T14:12:36.556976Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.19754","last_updated":"2025-05-31T07:51:54Z","snapshot_observed_at":"2026-08-07T14:04:47.886605Z","submitted_at":"2025-05-26T09:33:10Z","title":"NeuSym-RAG: Hybrid Neural Symbolic Retrieval with Multiview Structuring for PDF Question Answering","version":2},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-07T14:12:36.556976Z"},"links":{"cited_paper":"/paper/2406.13213","citing_paper":"/paper/2505.19754"},"observation_digest":"sha256:1e5d2f2e9a81e8ece20ba88da760068ecdb2b34ee4951a1329570f5e31be14de","observation_id":"79acbc67-f3bc-4fd6-91ed-d8e3d5f7a04d","resolution":{"observed_at":"2026-08-07T14:12:36.556976Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.13213","last_updated":"2024-08-19T11:38:14Z","snapshot_observed_at":"2026-07-06T18:33:28.511600Z","submitted_at":"2024-06-19T04:53:48Z","title":"Multi-Meta-RAG: Improving RAG for Multi-Hop Queries using Database Filtering with LLM-Extracted Metadata","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.13213","snapshot_observed_at":"2026-08-07T12:35:38.942407Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24782","last_updated":"2025-06-06T16:42:11Z","snapshot_observed_at":"2026-08-08T11:29:30.610481Z","submitted_at":"2025-05-30T16:43:28Z","title":"Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings","version":2},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:38.942407Z"},"links":{"cited_paper":"/paper/2406.13213","citing_paper":"/paper/2505.24782"},"observation_digest":"sha256:97808d3081afd7347b12813f5ef91ba0e6562c50d5613ef5b239405549ea44ec","observation_id":"9bf29cc9-9e31-4c8d-b8e3-03d7d764118c","resolution":{"observed_at":"2026-08-07T12:35:38.942407Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.13213","last_updated":"2024-08-19T11:38:14Z","snapshot_observed_at":"2026-07-06T18:33:28.511600Z","submitted_at":"2024-06-19T04:53:48Z","title":"Multi-Meta-RAG: Improving RAG for Multi-Hop Queries using Database Filtering with LLM-Extracted Metadata","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.13213","snapshot_observed_at":"2026-08-06T21:49:36.249511Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.23397","last_updated":"2025-06-29T21:16:07Z","snapshot_observed_at":"2026-08-06T21:41:39.147426Z","submitted_at":"2025-06-29T21:16:07Z","title":"NaviX: A Native Vector Index Design for Graph DBMSs With Robust Predicate-Agnostic Search Performance","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T21:49:36.249511Z"},"links":{"cited_paper":"/paper/2406.13213","citing_paper":"/paper/2506.23397"},"observation_digest":"sha256:116e4a6b614f0c4063efd34ecb2eea91abe24d23790c99bb621d6c290476a240","observation_id":"d2237c96-7ab5-43b0-9f62-4f5fdecdd95e","resolution":{"observed_at":"2026-08-06T21:49:36.249511Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.13213","last_updated":"2024-08-19T11:38:14Z","snapshot_observed_at":"2026-07-06T18:33:28.511600Z","submitted_at":"2024-06-19T04:53:48Z","title":"Multi-Meta-RAG: Improving RAG for Multi-Hop Queries using Database Filtering with LLM-Extracted Metadata","version":2},"cited_work":{"arxiv_id":"2406.13213","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.13213","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Multi-meta-rag: Improving rag for multi- hop queries using database filtering with llm-extracted metadata","venue":null,"work_id":"653ac9e4-591f-4835-8cd3-e7dca25dae3f","year":2024},"citing_paper":{"arxiv_id":"2604.02522","last_updated":"2026-04-02T21:23:00Z","snapshot_observed_at":"2026-08-03T01:43:37.179078Z","submitted_at":"2026-04-02T21:23:00Z","title":"Opal: Private Memory for Personal AI","version":1},"reference_index":172,"source":"pdf_text","source_observed_at":"2026-05-13T21:09:06.320543Z"},"links":{"cited_paper":"/paper/2406.13213","citing_paper":"/paper/2604.02522"},"observation_digest":"sha256:dec1352155db77bb926b4c15d7a405d7a7fc05a5f33a65f962aa638c664455f6","observation_id":"3d1dbbb1-5b8c-4152-8b9f-0e2d3313d11d","resolution":{"observed_at":"2026-05-13T21:13:16.672879Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.13213","last_updated":"2024-08-19T11:38:14Z","snapshot_observed_at":"2026-07-06T18:33:28.511600Z","submitted_at":"2024-06-19T04:53:48Z","title":"Multi-Meta-RAG: Improving RAG for Multi-Hop Queries using Database Filtering with LLM-Extracted Metadata","version":2},"cited_work":{"arxiv_id":"2406.13213","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.13213","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Multi-meta-rag: Improving rag for multi- hop queries using database filtering with llm-extracted metadata","venue":null,"work_id":"653ac9e4-591f-4835-8cd3-e7dca25dae3f","year":2024},"citing_paper":{"arxiv_id":"2605.01970","last_updated":"2026-05-15T06:42:15Z","snapshot_observed_at":"2026-07-06T23:15:07.159340Z","submitted_at":"2026-05-03T17:07:20Z","title":"Trojan Hippo: Weaponizing Agent Memory for Data Exfiltration","version":2},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-05-09T17:13:47.722098Z"},"links":{"cited_paper":"/paper/2406.13213","citing_paper":"/paper/2605.01970"},"observation_digest":"sha256:d20c3ee838aa5331864da3e87dd7e83261800625c682434afc691158ca42a37e","observation_id":"bd53246d-6766-472f-b990-30bc7941b950","resolution":{"observed_at":"2026-05-11T16:21:10.066382Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.13213","last_updated":"2024-08-19T11:38:14Z","snapshot_observed_at":"2026-07-06T18:33:28.511600Z","submitted_at":"2024-06-19T04:53:48Z","title":"Multi-Meta-RAG: Improving RAG for Multi-Hop Queries using Database Filtering with LLM-Extracted Metadata","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.13213","snapshot_observed_at":"2026-07-11T22:57:36.974470Z","title":"Multi-Meta-RAG: Improving RAG for multi-hop queries using database filtering with LLM-extracted metadata,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.03929","last_updated":"2026-07-04T15:47:38Z","snapshot_observed_at":"2026-07-11T22:57:36.728514Z","submitted_at":"2026-07-04T15:47:38Z","title":"Probe, Don't Prompt: A Hidden-State Probe for Metadata Filtering in Multi-Meta-RAG","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-11T22:57:36.974470Z"},"links":{"cited_paper":"/paper/2406.13213","citing_paper":"/paper/2607.03929"},"observation_digest":"sha256:30bb6899f00d43840b4b74e431db81c812962892a60ed2db2d40c8f11178e5a8","observation_id":"c8c0c94b-a6aa-4a57-a2c7-ec76d828010e","resolution":{"observed_at":"2026-07-11T22:57:36.974470Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2406.13213/citation-record","integrity":"/paper/2406.13213/integrity","json":"/paper/2406.13213/citation-record.json","paper":"/paper/2406.13213"},"outbound":[],"paper":{"arxiv_id":"2406.13213","last_updated":"2024-08-19T11:38:14Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-06T18:33:28.511600Z","submitted_at":"2024-06-19T04:53:48Z","title":"Multi-Meta-RAG: Improving RAG for Multi-Hop Queries using Database Filtering with LLM-Extracted Metadata"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2406.13213."}