{"as_of":"2026-08-13T02:25:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8825a1c24a85bf53276393ffc13530cdf0e5c59a6b3bdc84765926e841d7a2c2","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":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T00:37:51.763542Z","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":"2026-07-04T13:09:51.253601Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2504.11544","last_updated":"2025-04-15T18:24:00Z","snapshot_observed_at":"2026-08-10T18:37:04.319174Z","submitted_at":"2025-04-15T18:24:00Z","title":"NodeRAG: Structuring Graph-based RAG with Heterogeneous Nodes","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.11544","snapshot_observed_at":"2026-08-07T13:18:57.219836Z","title":"Noderag: Structuring graph-based rag with heterogeneous nodes, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.22101","last_updated":"2025-05-28T08:27:12Z","snapshot_observed_at":"2026-08-07T13:12:47.234798Z","submitted_at":"2025-05-28T08:27:12Z","title":"MemOS: An Operating System for Memory-Augmented Generation (MAG) in Large Language Models","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T13:18:57.219836Z"},"links":{"cited_paper":"/paper/2504.11544","citing_paper":"/paper/2505.22101"},"observation_digest":"sha256:3a76ffb6cfeb7530fb38b098e8cce733c2820a98a080c8913e9390745e9dbb2f","observation_id":"8d972614-0d7d-4db8-882b-6b807d14dd04","resolution":{"observed_at":"2026-08-07T13:18:57.219836Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.11544","last_updated":"2025-04-15T18:24:00Z","snapshot_observed_at":"2026-08-10T18:37:04.319174Z","submitted_at":"2025-04-15T18:24:00Z","title":"NodeRAG: Structuring Graph-based RAG with Heterogeneous Nodes","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.11544","snapshot_observed_at":"2026-08-05T13:36:44.393482Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.00449","last_updated":"2025-08-30T10:44:06Z","snapshot_observed_at":"2026-08-10T03:42:52.576423Z","submitted_at":"2025-08-30T10:44:06Z","title":"GOSU: Retrieval-Augmented Generation with Global-Level Optimized Semantic Unit-Centric Framework","version":1},"reference_index":79,"source":"arxiv_source","source_observed_at":"2026-08-05T13:36:44.393482Z"},"links":{"cited_paper":"/paper/2504.11544","citing_paper":"/paper/2509.00449"},"observation_digest":"sha256:c3103c3220c8bb2ddaaf697cab35b746d4f82e35d6bba6ef97383748c77dcdde","observation_id":"7a2de2a3-173c-4e78-8c6c-e115251154b3","resolution":{"observed_at":"2026-08-05T13:36:44.393482Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.11544","last_updated":"2025-04-15T18:24:00Z","snapshot_observed_at":"2026-08-10T18:37:04.319174Z","submitted_at":"2025-04-15T18:24:00Z","title":"NodeRAG: Structuring Graph-based RAG with Heterogeneous Nodes","version":1},"cited_work":{"arxiv_id":"2504.11544","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.11544","snapshot_observed_at":"2026-07-04T13:09:51.253601Z","title":"arXiv preprint arXiv:2504.11544 , year=","venue":null,"work_id":"d37d7cc8-205b-49e0-a88c-ff538a079854","year":null},"citing_paper":{"arxiv_id":"2605.12061","last_updated":"2026-05-12T12:47:43Z","snapshot_observed_at":"2026-08-12T17:33:27.874797Z","submitted_at":"2026-05-12T12:47:43Z","title":"SAGE: A Self-Evolving Agentic Graph-Memory Engine for Structure-Aware Associative Memory","version":1},"reference_index":265,"source":"arxiv_source","source_observed_at":"2026-05-13T04:45:34.957298Z"},"links":{"cited_paper":"/paper/2504.11544","citing_paper":"/paper/2605.12061"},"observation_digest":"sha256:c9f75be3f0eae1cd5feabe271192dde3097676be2a41a3bbecfbb629ba47d475","observation_id":"c2e6b8ff-0488-4f7e-81b5-aff3354ea3bd","resolution":{"observed_at":"2026-05-13T04:52:17.460182Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.11544","last_updated":"2025-04-15T18:24:00Z","snapshot_observed_at":"2026-08-10T18:37:04.319174Z","submitted_at":"2025-04-15T18:24:00Z","title":"NodeRAG: Structuring Graph-based RAG with Heterogeneous Nodes","version":1},"cited_work":{"arxiv_id":"2504.11544","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.11544","snapshot_observed_at":"2026-07-04T13:09:51.253601Z","title":"arXiv preprint arXiv:2504.11544 , year=","venue":null,"work_id":"d37d7cc8-205b-49e0-a88c-ff538a079854","year":null},"citing_paper":{"arxiv_id":"2606.26511","last_updated":"2026-06-25T01:31:53Z","snapshot_observed_at":"2026-08-09T20:07:12.160422Z","submitted_at":"2026-06-25T01:31:53Z","title":"Temporal Validity in Retrieval Memory: Eliminating Stale-Fact Errors for AI Agents over Evolving Knowledge","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-06-26T05:26:34.543601Z"},"links":{"cited_paper":"/paper/2504.11544","citing_paper":"/paper/2606.26511"},"observation_digest":"sha256:c84c540957e690e17e32d27e87e5cd40476a6cded974859f842e684e3cb0a22f","observation_id":"1aae1d97-fbb6-4e4b-a957-29a8b4238990","resolution":{"observed_at":"2026-07-04T13:09:51.254930Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.11544","last_updated":"2025-04-15T18:24:00Z","snapshot_observed_at":"2026-08-10T18:37:04.319174Z","submitted_at":"2025-04-15T18:24:00Z","title":"NodeRAG: Structuring Graph-based RAG with Heterogeneous Nodes","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.11544","snapshot_observed_at":"2026-08-12T00:37:51.763542Z","title":"Noderag: Structuring graph-based rag with heterogeneous nodes.arXiv preprint arXiv:2504.11544,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07994","last_updated":"2026-08-08T08:03:34Z","snapshot_observed_at":"2026-08-13T02:11:20.239926Z","submitted_at":"2026-08-08T08:03:34Z","title":"VDGR-RAG: Vectors, Directories, Graphs, and Reflection Are All You Need for Unified Reasoning over Hierarchical Enterprise Knowledge","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T00:37:51.763542Z"},"links":{"cited_paper":"/paper/2504.11544","citing_paper":"/paper/2608.07994"},"observation_digest":"sha256:b845bee9aa603a30b4d70dff86e976490bd3e3471d8529aebba651ea5e2720a9","observation_id":"2d42bb3a-a16c-49e9-a5b0-cd567fe97628","resolution":{"observed_at":"2026-08-12T00:37:51.763542Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2504.11544/citation-record","integrity":"/paper/2504.11544/integrity","json":"/paper/2504.11544/citation-record.json","paper":"/paper/2504.11544"},"outbound":[],"paper":{"arxiv_id":"2504.11544","last_updated":"2025-04-15T18:24:00Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-10T18:37:04.319174Z","submitted_at":"2025-04-15T18:24:00Z","title":"NodeRAG: Structuring Graph-based RAG with Heterogeneous Nodes"},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2504.11544."}