{"as_of":"2026-08-16T04:02:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:28459619f92752bd8280f4b091c965204e88691736890c1c702984f4826ff251","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":7,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":7,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+00:00","state":"measured"},{"denominator":7,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":7,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T18:12:27.040353Z","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":"2026-07-01T09:25:40.900732Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2408.03561","last_updated":"2024-08-07T05:50:17Z","snapshot_observed_at":"2026-08-12T23:07:28.431218Z","submitted_at":"2024-08-07T05:50:17Z","title":"MPC-Minimized Secure LLM Inference","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.03561","snapshot_observed_at":"2026-08-11T18:12:27.040353Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.08145","last_updated":"2024-12-11T07:05:24Z","snapshot_observed_at":"2026-08-13T23:26:59.135006Z","submitted_at":"2024-12-11T07:05:24Z","title":"A Survey on Private Transformer Inference","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-11T18:12:27.040353Z"},"links":{"cited_paper":"/paper/2408.03561","citing_paper":"/paper/2412.08145"},"observation_digest":"sha256:16eae384b801356e74a4d0f8196dfac20ca1cad354039ad5c5474dd4225f8afe","observation_id":"33e59059-3207-48a7-aeec-2b375aec065e","resolution":{"observed_at":"2026-08-11T18:12:27.040353Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.03561","last_updated":"2024-08-07T05:50:17Z","snapshot_observed_at":"2026-08-12T23:07:28.431218Z","submitted_at":"2024-08-07T05:50:17Z","title":"MPC-Minimized Secure LLM Inference","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.03561","snapshot_observed_at":"2026-08-10T19:35:35.358000Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.09957","last_updated":"2025-01-22T13:42:26Z","snapshot_observed_at":"2026-08-13T19:17:53.879578Z","submitted_at":"2025-01-17T05:19:14Z","title":"FRAG: A Flexible Modular Framework for Retrieval-Augmented Generation based on Knowledge Graphs","version":2},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-10T19:35:35.358000Z"},"links":{"cited_paper":"/paper/2408.03561","citing_paper":"/paper/2501.09957"},"observation_digest":"sha256:313595d02ad3f43331b4a805fa19f1b3f77ea102aa3452aa6e49c7873a98264f","observation_id":"6e636138-bc25-4aa6-870c-2cdb1bfe2c93","resolution":{"observed_at":"2026-08-10T19:35:35.358000Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.03561","last_updated":"2024-08-07T05:50:17Z","snapshot_observed_at":"2026-08-12T23:07:28.431218Z","submitted_at":"2024-08-07T05:50:17Z","title":"MPC-Minimized Secure LLM Inference","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.03561","snapshot_observed_at":"2026-08-06T15:58:10.752042Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.14519","last_updated":"2025-07-19T07:45:39Z","snapshot_observed_at":"2026-08-10T11:26:10.004797Z","submitted_at":"2025-07-19T07:45:39Z","title":"Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives","version":1},"reference_index":158,"source":"pdf_text","source_observed_at":"2026-08-06T15:58:10.752042Z"},"links":{"cited_paper":"/paper/2408.03561","citing_paper":"/paper/2507.14519"},"observation_digest":"sha256:23052b44829f88baba15dfae795f245da80245b5402d8fe33abe4b96aab5aeaf","observation_id":"73b430d1-ed8e-41b9-8ab7-60d44ee0bde1","resolution":{"observed_at":"2026-08-06T15:58:10.752042Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.03561","last_updated":"2024-08-07T05:50:17Z","snapshot_observed_at":"2026-08-12T23:07:28.431218Z","submitted_at":"2024-08-07T05:50:17Z","title":"MPC-Minimized Secure LLM Inference","version":1},"cited_work":{"arxiv_id":"2408.03561","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2408.03561","snapshot_observed_at":"2026-07-01T09:25:40.900732Z","title":"Mpc-minimized secure llm inference","venue":null,"work_id":"f0751711-8b10-483c-ae25-029fe1e57ddd","year":2024},"citing_paper":{"arxiv_id":"2510.23883","last_updated":"2026-04-03T16:27:34Z","snapshot_observed_at":"2026-08-13T20:52:15.127327Z","submitted_at":"2025-10-27T21:48:11Z","title":"Agentic AI Security: Threats, Defenses, Evaluation, and Open Challenges","version":3},"reference_index":159,"source":"pdf_text","source_observed_at":"2026-05-18T03:42:10.703369Z"},"links":{"cited_paper":"/paper/2408.03561","citing_paper":"/paper/2510.23883"},"observation_digest":"sha256:2cec793cc9df9b640701033a6ee4a9b315075e376cea781fd79da8564ee08119","observation_id":"27a2b7df-1c76-4a74-b0fb-f83b80338a8a","resolution":{"observed_at":"2026-05-18T03:42:22.114136Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.03561","last_updated":"2024-08-07T05:50:17Z","snapshot_observed_at":"2026-08-12T23:07:28.431218Z","submitted_at":"2024-08-07T05:50:17Z","title":"MPC-Minimized Secure LLM Inference","version":1},"cited_work":{"arxiv_id":"2408.03561","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2408.03561","snapshot_observed_at":"2026-07-01T09:25:40.900732Z","title":"Mpc-minimized secure llm inference","venue":null,"work_id":"f0751711-8b10-483c-ae25-029fe1e57ddd","year":2024},"citing_paper":{"arxiv_id":"2605.03213","last_updated":"2026-05-07T16:46:43Z","snapshot_observed_at":"2026-08-14T07:51:15.831884Z","submitted_at":"2026-05-04T23:09:16Z","title":"When Agents Handle Secrets: A Survey of Confidential Computing for Agentic AI","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-07T02:12:30.086152Z"},"links":{"cited_paper":"/paper/2408.03561","citing_paper":"/paper/2605.03213"},"observation_digest":"sha256:6608cf45c3e369f74d61f46c2d61442ae9343b4288942f2f30bbc65e4e783f1b","observation_id":"cbf26da8-be38-42dd-a7c0-df5c15bd0002","resolution":{"observed_at":"2026-05-12T10:46:31.740921Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.03561","last_updated":"2024-08-07T05:50:17Z","snapshot_observed_at":"2026-08-12T23:07:28.431218Z","submitted_at":"2024-08-07T05:50:17Z","title":"MPC-Minimized Secure LLM Inference","version":1},"cited_work":{"arxiv_id":"2408.03561","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2408.03561","snapshot_observed_at":"2026-07-01T09:25:40.900732Z","title":"Mpc-minimized secure llm inference","venue":null,"work_id":"f0751711-8b10-483c-ae25-029fe1e57ddd","year":2024},"citing_paper":{"arxiv_id":"2605.03213","last_updated":"2026-05-07T16:46:43Z","snapshot_observed_at":"2026-08-14T07:51:15.831884Z","submitted_at":"2026-05-04T23:09:16Z","title":"When Agents Handle Secrets: A Survey of Confidential Computing for Agentic AI","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-08T17:56:09.884837Z"},"links":{"cited_paper":"/paper/2408.03561","citing_paper":"/paper/2605.03213"},"observation_digest":"sha256:c87f53b631446aefb7a99914606508d6cac04673ba26ed3c3e137f54850f9c45","observation_id":"b87f851f-8ef8-464b-aed4-d3c93e35edfa","resolution":{"observed_at":"2026-05-09T06:55:44.509272Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.03561","last_updated":"2024-08-07T05:50:17Z","snapshot_observed_at":"2026-08-12T23:07:28.431218Z","submitted_at":"2024-08-07T05:50:17Z","title":"MPC-Minimized Secure LLM Inference","version":1},"cited_work":{"arxiv_id":"2408.03561","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2408.03561","snapshot_observed_at":"2026-07-01T09:25:40.900732Z","title":"Mpc-minimized secure llm inference","venue":null,"work_id":"f0751711-8b10-483c-ae25-029fe1e57ddd","year":2024},"citing_paper":{"arxiv_id":"2606.31208","last_updated":"2026-06-30T06:40:36Z","snapshot_observed_at":"2026-08-01T15:26:30.335537Z","submitted_at":"2026-06-30T06:40:36Z","title":"Probing Memorization of Tabular In-Context Learning","version":1},"reference_index":82,"source":"arxiv_source","source_observed_at":"2026-07-01T06:37:44.328625Z"},"links":{"cited_paper":"/paper/2408.03561","citing_paper":"/paper/2606.31208"},"observation_digest":"sha256:03f0189d02686f78a1ac4e1c9d4a5218b0616e10b218b10e6e4df9f8022d05c6","observation_id":"52bca4ae-8dcc-416d-bdba-4078040e1bb2","resolution":{"observed_at":"2026-07-01T09:25:40.903472Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2408.03561/citation-record","integrity":"/paper/2408.03561/integrity","json":"/paper/2408.03561/citation-record.json","paper":"/paper/2408.03561"},"outbound":[],"paper":{"arxiv_id":"2408.03561","last_updated":"2024-08-07T05:50:17Z","latest_version":1,"primary_category":"cs.CR","snapshot_observed_at":"2026-08-12T23:07:28.431218Z","submitted_at":"2024-08-07T05:50:17Z","title":"MPC-Minimized Secure LLM Inference"},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2408.03561."}