{"as_of":"2026-08-23T13:27:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:60d0a7eaaac5dbd8fca74be833a1e8c6a88d337c89235a6e37993c01b06cd4e4","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":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-23T06:30:58.430688+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T16:32:04.999298Z","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":"2026-05-17T11:05:10.074294Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2405.19686","last_updated":"2024-05-30T04:57:03Z","snapshot_observed_at":"2026-08-19T05:40:54.590174Z","submitted_at":"2024-05-30T04:57:03Z","title":"Knowledge Graph Tuning: Real-time Large Language Model Personalization based on Human Feedback","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.19686","snapshot_observed_at":"2026-08-12T16:32:04.999298Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.13405","last_updated":"2024-11-20T15:45:08Z","snapshot_observed_at":"2026-08-18T09:53:59.434636Z","submitted_at":"2024-11-20T15:45:08Z","title":"On the Way to LLM Personalization: Learning to Remember User Conversations","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-12T16:32:04.999298Z"},"links":{"cited_paper":"/paper/2405.19686","citing_paper":"/paper/2411.13405"},"observation_digest":"sha256:2e6e4f22a466a4fe38461d111022ea682e251a5a976fbb49e50fdfa7dbf32a5e","observation_id":"bd67ec5b-738b-4d43-b44b-c823996d27be","resolution":{"observed_at":"2026-08-12T16:32:04.999298Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.19686","last_updated":"2024-05-30T04:57:03Z","snapshot_observed_at":"2026-08-19T05:40:54.590174Z","submitted_at":"2024-05-30T04:57:03Z","title":"Knowledge Graph Tuning: Real-time Large Language Model Personalization based on Human Feedback","version":1},"cited_work":{"arxiv_id":"2405.19686","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2405.19686","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Knowledge graph tuning: Real-time large language model personalization based on human feedback","venue":null,"work_id":"763ba549-f1c9-4d83-baec-ecf48f5a25c5","year":2024},"citing_paper":{"arxiv_id":"2504.15965","last_updated":"2025-04-23T13:47:27Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-04-22T15:05:04Z","title":"From Human Memory to AI Memory: A Survey on Memory Mechanisms in the Era of LLMs","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-05-17T11:05:09.588491Z"},"links":{"cited_paper":"/paper/2405.19686","citing_paper":"/paper/2504.15965"},"observation_digest":"sha256:73d21ec72838d37bb252d0a24b93ef388ee40fdd794914e00b5b7a48f1fe87cf","observation_id":"d6c12411-6469-491d-ab35-d4cb119bfd2f","resolution":{"observed_at":"2026-05-17T11:05:10.076928Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.19686","last_updated":"2024-05-30T04:57:03Z","snapshot_observed_at":"2026-08-19T05:40:54.590174Z","submitted_at":"2024-05-30T04:57:03Z","title":"Knowledge Graph Tuning: Real-time Large Language Model Personalization based on Human Feedback","version":1},"cited_work":{"arxiv_id":"2405.19686","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2405.19686","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Knowledge graph tuning: Real-time large language model personalization based on human feedback","venue":null,"work_id":"763ba549-f1c9-4d83-baec-ecf48f5a25c5","year":2024},"citing_paper":{"arxiv_id":"2604.06845","last_updated":"2026-04-08T09:07:07Z","snapshot_observed_at":"2026-08-16T19:59:56.776339Z","submitted_at":"2026-04-08T09:07:07Z","title":"HingeMem: Boundary Guided Long-Term Memory with Query Adaptive Retrieval for Scalable Dialogues","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-05-10T18:55:26.058329Z"},"links":{"cited_paper":"/paper/2405.19686","citing_paper":"/paper/2604.06845"},"observation_digest":"sha256:2224574726c07daf936b145675907258c9639be3bf06086e9ea5b5c8ca294f3a","observation_id":"3a5e3103-4dc6-4fd7-9f46-95bf7c9fe9b2","resolution":{"observed_at":"2026-05-10T23:40:54.184249Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.19686","last_updated":"2024-05-30T04:57:03Z","snapshot_observed_at":"2026-08-19T05:40:54.590174Z","submitted_at":"2024-05-30T04:57:03Z","title":"Knowledge Graph Tuning: Real-time Large Language Model Personalization based on Human Feedback","version":1},"cited_work":{"arxiv_id":"2405.19686","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2405.19686","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Knowledge graph tuning: Real-time large language model personalization based on human feedback","venue":null,"work_id":"763ba549-f1c9-4d83-baec-ecf48f5a25c5","year":2024},"citing_paper":{"arxiv_id":"2604.15676","last_updated":"2026-04-17T03:54:32Z","snapshot_observed_at":"2026-08-19T09:59:34.351707Z","submitted_at":"2026-04-17T03:54:32Z","title":"EvoRAG: Making Knowledge Graph-based RAG Automatically Evolve through Feedback-driven Backpropagation","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-05-10T07:59:40.497067Z"},"links":{"cited_paper":"/paper/2405.19686","citing_paper":"/paper/2604.15676"},"observation_digest":"sha256:d91a956e7f8b04d91314d6f5cf243962193f89807e7f9ceebd921c72a6754731","observation_id":"8f8a9045-1482-4538-898d-cd63dd9967f1","resolution":{"observed_at":"2026-05-10T08:02:25.215065Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2405.19686/citation-record","integrity":"/paper/2405.19686/integrity","json":"/paper/2405.19686/citation-record.json","paper":"/paper/2405.19686"},"outbound":[],"paper":{"arxiv_id":"2405.19686","last_updated":"2024-05-30T04:57:03Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-19T05:40:54.590174Z","submitted_at":"2024-05-30T04:57:03Z","title":"Knowledge Graph Tuning: Real-time Large Language Model Personalization based on Human Feedback"},"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":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"thesis":"As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2405.19686."}