{"as_of":"2026-08-08T12:14:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1b7fc67e0417d0f06cbfe14475443fe176dc57e0a15b1513dc69865043af79e1","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":9,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":9,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":9,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":9,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T15:10:03.561168Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":1,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2412.11854","last_updated":"2024-12-16T15:12:53Z","snapshot_observed_at":"2026-08-06T12:06:10.198068Z","submitted_at":"2024-12-16T15:12:53Z","title":"Towards Understanding Systems Trade-offs in Retrieval-Augmented Generation Model Inference","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.11854","snapshot_observed_at":"2026-08-07T15:10:03.561168Z","title":"Towards Understanding Systems Trade-offs in Retrieval- Augmented Generation Model Inference,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.16096","last_updated":"2025-05-22T00:45:32Z","snapshot_observed_at":"2026-08-07T15:04:47.621941Z","submitted_at":"2025-05-22T00:45:32Z","title":"Cosmos: A CXL-Based Full In-Memory System for Approximate Nearest Neighbor Search","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T15:10:03.561168Z"},"links":{"cited_paper":"/paper/2412.11854","citing_paper":"/paper/2505.16096"},"observation_digest":"sha256:ef05db29677d010ab3182ca12d3089e7171a17b7cb1ba888613b3351ebe9be59","observation_id":"9de3e231-4e2f-409e-a7c3-226309dc132b","resolution":{"observed_at":"2026-08-07T15:10:03.561168Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.11854","last_updated":"2024-12-16T15:12:53Z","snapshot_observed_at":"2026-08-06T12:06:10.198068Z","submitted_at":"2024-12-16T15:12:53Z","title":"Towards Understanding Systems Trade-offs in Retrieval-Augmented Generation Model Inference","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.11854","snapshot_observed_at":"2026-08-06T11:04:47.214527Z","title":"Towards under- standing systems trade-offs in retrieval-augmented generation model inference","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.23170","last_updated":"2025-08-02T05:05:26Z","snapshot_observed_at":"2026-08-07T04:51:54.132886Z","submitted_at":"2025-07-31T00:51:16Z","title":"BAR Conjecture: the Feasibility of Inference Budget-Constrained LLM Services with Authenticity and Reasoning","version":2},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-06T11:04:47.214527Z"},"links":{"cited_paper":"/paper/2412.11854","citing_paper":"/paper/2507.23170"},"observation_digest":"sha256:93df3482d494ee72d6050710d0d058314225ae5bd775941ecd4a88f17b3f6a39","observation_id":"d92c68b1-6eb0-4ad5-97ac-e268cab42e02","resolution":{"observed_at":"2026-08-06T11:04:47.214527Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.11854","last_updated":"2024-12-16T15:12:53Z","snapshot_observed_at":"2026-08-06T12:06:10.198068Z","submitted_at":"2024-12-16T15:12:53Z","title":"Towards Understanding Systems Trade-offs in Retrieval-Augmented Generation Model Inference","version":1},"cited_work":{"arxiv_id":"2412.11854","doi":"10.48550/arxiv.2412.11854","metadata_source":"arxiv_reference","pith_arxiv_id":"2412.11854","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Towards understanding systems trade-offs in retrieval-augmented generation model inference","venue":"arXiv (Cornell University)","work_id":"75357e4e-4351-44f8-8f5e-e260ef3cedc6","year":2024},"citing_paper":{"arxiv_id":"2510.10129","last_updated":"2026-05-21T08:20:19Z","snapshot_observed_at":"2026-07-06T22:32:22.953630Z","submitted_at":"2025-10-11T09:28:26Z","title":"CacheClip: Accelerating RAG with Effective KV Cache Reuse","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-22T12:36:41.630618Z"},"links":{"cited_paper":"/paper/2412.11854","citing_paper":"/paper/2510.10129"},"observation_digest":"sha256:de659b3363e23b79414e600ec104e11d686d52455d14093bce105af7bd8c3f51","observation_id":"08d6a4a6-8666-4176-9975-40b3d3de85db","resolution":{"observed_at":"2026-05-22T12:41:33.721435Z","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":"2412.11854","last_updated":"2024-12-16T15:12:53Z","snapshot_observed_at":"2026-08-06T12:06:10.198068Z","submitted_at":"2024-12-16T15:12:53Z","title":"Towards Understanding Systems Trade-offs in Retrieval-Augmented Generation Model Inference","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.11854","snapshot_observed_at":"2026-08-03T10:14:02.295939Z","title":"InProceedings of the Thirteenth ACM Inter- national Conference on Information and Knowledge Management, CIKM ’04, page 42–49, New York, NY , USA","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.11004","last_updated":"2026-06-11T02:09:41Z","snapshot_observed_at":"2026-08-08T08:57:16.800425Z","submitted_at":"2026-01-16T05:38:25Z","title":"NOVA: NOise-aware Verbal Confidence CAlibration for Robust Large Language Models in RAG Systems","version":3},"reference_index":2004,"source":"pdf_text","source_observed_at":"2026-08-03T10:14:02.295939Z"},"links":{"cited_paper":"/paper/2412.11854","citing_paper":"/paper/2601.11004"},"observation_digest":"sha256:c3262fc1db51a774e38d41afb818ab5319a891317bf12d3c0a1f09beaf38566c","observation_id":"1e8141bd-6958-4562-a8c5-7f1a5fd97ac1","resolution":{"observed_at":"2026-08-03T10:14:02.295939Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.11854","last_updated":"2024-12-16T15:12:53Z","snapshot_observed_at":"2026-08-06T12:06:10.198068Z","submitted_at":"2024-12-16T15:12:53Z","title":"Towards Understanding Systems Trade-offs in Retrieval-Augmented Generation Model Inference","version":1},"cited_work":{"arxiv_id":"2412.11854","doi":"10.48550/arxiv.2412.11854","metadata_source":"arxiv_reference","pith_arxiv_id":"2412.11854","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Towards understanding systems trade-offs in retrieval-augmented generation model inference","venue":"arXiv (Cornell University)","work_id":"75357e4e-4351-44f8-8f5e-e260ef3cedc6","year":2024},"citing_paper":{"arxiv_id":"2602.15423","last_updated":"2026-04-21T07:53:41Z","snapshot_observed_at":"2026-08-02T11:45:57.664410Z","submitted_at":"2026-02-17T08:35:11Z","title":"GaiaFlow: Semantic-Guided Diffusion Tuning for Carbon-Frugal Search","version":3},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-15T21:58:04.706427Z"},"links":{"cited_paper":"/paper/2412.11854","citing_paper":"/paper/2602.15423"},"observation_digest":"sha256:e1c1454d263d99b875e3da1da13ff234fea37fbeea28bf20706bc664b66958d4","observation_id":"28713d80-fb78-46a7-afc2-f2e38cff95cb","resolution":{"observed_at":"2026-05-15T22:00:21.415220Z","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":"2412.11854","last_updated":"2024-12-16T15:12:53Z","snapshot_observed_at":"2026-08-06T12:06:10.198068Z","submitted_at":"2024-12-16T15:12:53Z","title":"Towards Understanding Systems Trade-offs in Retrieval-Augmented Generation Model Inference","version":1},"cited_work":{"arxiv_id":"2412.11854","doi":"10.48550/arxiv.2412.11854","metadata_source":"arxiv_reference","pith_arxiv_id":"2412.11854","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Towards understanding systems trade-offs in retrieval-augmented generation model inference","venue":"arXiv (Cornell University)","work_id":"75357e4e-4351-44f8-8f5e-e260ef3cedc6","year":2024},"citing_paper":{"arxiv_id":"2602.20669","last_updated":"2026-04-06T06:23:49Z","snapshot_observed_at":"2026-08-05T15:06:01.206344Z","submitted_at":"2026-02-24T08:20:00Z","title":"Integrating Domain-Specialized Language Models with AI Measurement Tools for Deterministic Atomic-Resolution Experimentation","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-15T20:06:50.777772Z"},"links":{"cited_paper":"/paper/2412.11854","citing_paper":"/paper/2602.20669"},"observation_digest":"sha256:6797440e71d90907adb9cf708521ade3e5eaa1590492678b3e4d54bba9dbb805","observation_id":"aa2abccb-57f1-4d40-8df9-412a049b22be","resolution":{"observed_at":"2026-05-15T20:10:18.591423Z","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":"2412.11854","last_updated":"2024-12-16T15:12:53Z","snapshot_observed_at":"2026-08-06T12:06:10.198068Z","submitted_at":"2024-12-16T15:12:53Z","title":"Towards Understanding Systems Trade-offs in Retrieval-Augmented Generation Model Inference","version":1},"cited_work":{"arxiv_id":"2412.11854","doi":"10.48550/arxiv.2412.11854","metadata_source":"arxiv_reference","pith_arxiv_id":"2412.11854","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Towards understanding systems trade-offs in retrieval-augmented generation model inference","venue":"arXiv (Cornell University)","work_id":"75357e4e-4351-44f8-8f5e-e260ef3cedc6","year":2024},"citing_paper":{"arxiv_id":"2605.15503","last_updated":"2026-05-15T00:50:49Z","snapshot_observed_at":"2026-07-06T23:26:46.595393Z","submitted_at":"2026-05-15T00:50:49Z","title":"uGen: An Agentic Framework for Generating Microarchitectural Attack PoCs","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-05-19T15:46:52.746700Z"},"links":{"cited_paper":"/paper/2412.11854","citing_paper":"/paper/2605.15503"},"observation_digest":"sha256:6f4cf5ffa24631336f948a5bf2c4103cae5b49d37f917d57a063fdf67d279186","observation_id":"7fe9fa6d-16ea-4983-bcfb-5c67b8b697a3","resolution":{"observed_at":"2026-05-19T15:47:38.550332Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2412.11854","last_updated":"2024-12-16T15:12:53Z","snapshot_observed_at":"2026-08-06T12:06:10.198068Z","submitted_at":"2024-12-16T15:12:53Z","title":"Towards Understanding Systems Trade-offs in Retrieval-Augmented Generation Model Inference","version":1},"cited_work":{"arxiv_id":"2412.11854","doi":"10.48550/arxiv.2412.11854","metadata_source":"arxiv_reference","pith_arxiv_id":"2412.11854","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Towards understanding systems trade-offs in retrieval-augmented generation model inference","venue":"arXiv (Cornell University)","work_id":"75357e4e-4351-44f8-8f5e-e260ef3cedc6","year":2024},"citing_paper":{"arxiv_id":"2606.08950","last_updated":"2026-06-08T02:51:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-06-08T02:51:40Z","title":"When More Cores Hurts: The Vector Database Scaling Paradox in HPC","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-06-27T15:19:23.339311Z"},"links":{"cited_paper":"/paper/2412.11854","citing_paper":"/paper/2606.08950"},"observation_digest":"sha256:d4cb8c6926af49dc6fd48ea09f9f4a276580a497ad238285bca39f2431953bb6","observation_id":"aa058340-fe41-49c8-8e9a-90f8c514ec9b","resolution":{"observed_at":"2026-06-27T15:21:00.063605Z","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":"2412.11854","last_updated":"2024-12-16T15:12:53Z","snapshot_observed_at":"2026-08-06T12:06:10.198068Z","submitted_at":"2024-12-16T15:12:53Z","title":"Towards Understanding Systems Trade-offs in Retrieval-Augmented Generation Model Inference","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.11854","snapshot_observed_at":"2026-08-01T22:39:04.174766Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.24817","last_updated":"2026-07-17T06:32:12Z","snapshot_observed_at":"2026-08-07T15:19:38.952731Z","submitted_at":"2026-07-17T06:32:12Z","title":"Retrieval-Augmented Generation in LLMs for Mental Health: Quantifying the Incremental Contribution of Retrieval Within a Layered Safety Architecture","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-01T22:39:04.174766Z"},"links":{"cited_paper":"/paper/2412.11854","citing_paper":"/paper/2607.24817"},"observation_digest":"sha256:19ae178d1137dd14e044f9e2f8a4f27203f9b5fe94a5fa4248df86f7f34529b5","observation_id":"e33965f2-9524-4445-83bb-405d282648df","resolution":{"observed_at":"2026-08-01T22:39:04.174766Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2412.11854/citation-record","integrity":"/paper/2412.11854/integrity","json":"/paper/2412.11854/citation-record.json","paper":"/paper/2412.11854"},"outbound":[],"paper":{"arxiv_id":"2412.11854","last_updated":"2024-12-16T15:12:53Z","latest_version":1,"primary_category":"cs.AR","snapshot_observed_at":"2026-08-06T12:06:10.198068Z","submitted_at":"2024-12-16T15:12:53Z","title":"Towards Understanding Systems Trade-offs in Retrieval-Augmented Generation Model 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":"2026-08-08T06:32:00.761636+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 9 inbound Pith citation observations for arXiv:2412.11854."}