{"as_of":"2026-08-10T00:12:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9e76701db201380950a8aac030f5f3417dc6760624846dc35bffde71e91a98fd","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":"2026-08-09T06:31:02.800959+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":"2026-08-06T23:21:09.359135Z","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":"2026-05-15T18:40:14.653043Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2306.16004","last_updated":"2023-06-28T08:24:14Z","snapshot_observed_at":"2026-08-04T21:56:42.195495Z","submitted_at":"2023-06-28T08:24:14Z","title":"Query Understanding in the Age of Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.16004","snapshot_observed_at":"2026-08-06T23:21:09.359135Z","title":"Query understanding in the age of large language models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.18511","last_updated":"2025-06-23T11:04:58Z","snapshot_observed_at":"2026-08-09T14:34:23.816700Z","submitted_at":"2025-06-23T11:04:58Z","title":"Standard Applicability Judgment and Cross-jurisdictional Reasoning: A RAG-based Framework for Medical Device Compliance","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T23:21:09.359135Z"},"links":{"cited_paper":"/paper/2306.16004","citing_paper":"/paper/2506.18511"},"observation_digest":"sha256:9ab552d356f73250b0bb8dd0f5934af1d381200042f945d9e769d3afd8e26206","observation_id":"11a6a21a-0419-4b74-9002-04882f5f2711","resolution":{"observed_at":"2026-08-06T23:21:09.359135Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.16004","last_updated":"2023-06-28T08:24:14Z","snapshot_observed_at":"2026-08-04T21:56:42.195495Z","submitted_at":"2023-06-28T08:24:14Z","title":"Query Understanding in the Age of Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.16004","snapshot_observed_at":"2026-08-06T20:12:05.570094Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.03479","last_updated":"2025-07-04T11:07:20Z","snapshot_observed_at":"2026-08-09T07:07:21.171259Z","submitted_at":"2025-07-04T11:07:20Z","title":"Explainable Information Retrieval in the Audit Domain","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T20:12:05.570094Z"},"links":{"cited_paper":"/paper/2306.16004","citing_paper":"/paper/2507.03479"},"observation_digest":"sha256:a42a5dedf3458bc7c96e2694a33f5001b7accad980191e5d05fa4b47357d1cc5","observation_id":"2ca69d4e-50f9-4836-8d68-c22488096f19","resolution":{"observed_at":"2026-08-06T20:12:05.570094Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.16004","last_updated":"2023-06-28T08:24:14Z","snapshot_observed_at":"2026-08-04T21:56:42.195495Z","submitted_at":"2023-06-28T08:24:14Z","title":"Query Understanding in the Age of Large Language Models","version":1},"cited_work":{"arxiv_id":"2306.16004","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2306.16004","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"b54559b4-e80a-487f-be7e-ff63f019e671","year":2023},"citing_paper":{"arxiv_id":"2603.01486","last_updated":"2026-05-03T21:56:03Z","snapshot_observed_at":"2026-07-06T22:47:28.681790Z","submitted_at":"2026-03-02T05:51:05Z","title":"Agentic Multi-Source Grounding for Enhanced Query Intent Understanding: A DoorDash Case Study","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-15T18:39:19.589578Z"},"links":{"cited_paper":"/paper/2306.16004","citing_paper":"/paper/2603.01486"},"observation_digest":"sha256:396b5cf8f8d9b168bb4093d0fa8f0ccfa3058ab1542fd4fa396e91c66b23ec5e","observation_id":"dc7ffec7-8f27-4b90-8303-b5d522a5e87e","resolution":{"observed_at":"2026-05-15T18:40:14.656645Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.16004","last_updated":"2023-06-28T08:24:14Z","snapshot_observed_at":"2026-08-04T21:56:42.195495Z","submitted_at":"2023-06-28T08:24:14Z","title":"Query Understanding in the Age of Large Language Models","version":1},"cited_work":{"arxiv_id":"2306.16004","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2306.16004","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"b54559b4-e80a-487f-be7e-ff63f019e671","year":2023},"citing_paper":{"arxiv_id":"2605.00560","last_updated":"2026-05-01T10:58:18Z","snapshot_observed_at":"2026-08-09T09:01:18.744669Z","submitted_at":"2026-05-01T10:58:18Z","title":"When More Reformulations Hurt: Avoiding Drift using Ranker Feedback","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-09T18:40:35.840350Z"},"links":{"cited_paper":"/paper/2306.16004","citing_paper":"/paper/2605.00560"},"observation_digest":"sha256:fd1d0e591f5c3fe741502aea579c37d615c2b261411839dc1c93161a789c594d","observation_id":"5f270166-20e5-4fc1-bbf4-9d714584e944","resolution":{"observed_at":"2026-05-11T16:06:40.531004Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.16004","last_updated":"2023-06-28T08:24:14Z","snapshot_observed_at":"2026-08-04T21:56:42.195495Z","submitted_at":"2023-06-28T08:24:14Z","title":"Query Understanding in the Age of Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.16004","snapshot_observed_at":"2026-08-04T01:47:04.667006Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.00030","last_updated":"2026-07-15T11:11:39Z","snapshot_observed_at":"2026-08-09T01:33:10.902039Z","submitted_at":"2026-07-15T11:11:39Z","title":"SLMs as Multi-Agent Routers: A Progressive SFT and Reinforcement Learning Approach","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-04T01:47:04.667006Z"},"links":{"cited_paper":"/paper/2306.16004","citing_paper":"/paper/2608.00030"},"observation_digest":"sha256:fc97bd9ddaf2b681dbae35ed01252e3e828f918c184bc4c3fece7ff8abc0e44d","observation_id":"84d7ea81-c540-4a2b-b6f6-7041899f4e16","resolution":{"observed_at":"2026-08-04T01:47:04.667006Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2306.16004/citation-record","integrity":"/paper/2306.16004/integrity","json":"/paper/2306.16004/citation-record.json","paper":"/paper/2306.16004"},"outbound":[],"paper":{"arxiv_id":"2306.16004","last_updated":"2023-06-28T08:24:14Z","latest_version":1,"primary_category":"cs.IR","snapshot_observed_at":"2026-08-04T21:56:42.195495Z","submitted_at":"2023-06-28T08:24:14Z","title":"Query Understanding in the Age of Large Language Models"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2306.16004."}