{"as_of":"2026-08-16T22:55:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f959c20d01fc26963a7cd944313e18c5eb0c680b55bc7f374fe8c8fe90bcb01e","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T22:22:45.837142Z","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":"2026-06-29T21:43:59.829135Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2112.08558","last_updated":"2022-10-28T06:19:46Z","snapshot_observed_at":"2026-08-16T18:55:04.659752Z","submitted_at":"2021-12-16T01:40:30Z","title":"CONQRR: Conversational Query Rewriting for Retrieval with Reinforcement Learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2112.08558","snapshot_observed_at":"2026-08-15T22:22:45.837142Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.07345","last_updated":"2025-05-12T08:35:09Z","snapshot_observed_at":"2026-08-16T18:17:18.192662Z","submitted_at":"2025-05-12T08:35:09Z","title":"QUPID: Quantified Understanding for Enhanced Performance, Insights, and Decisions in Korean Search Engines","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-15T22:22:45.837142Z"},"links":{"cited_paper":"/paper/2112.08558","citing_paper":"/paper/2505.07345"},"observation_digest":"sha256:6050d8360f7c70179662463d5b811d08b43028195e92dbcb945879898426071a","observation_id":"0bfc016e-5202-4777-b2d2-5ed86926c254","resolution":{"observed_at":"2026-08-15T22:22:45.837142Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2112.08558","last_updated":"2022-10-28T06:19:46Z","snapshot_observed_at":"2026-08-16T18:55:04.659752Z","submitted_at":"2021-12-16T01:40:30Z","title":"CONQRR: Conversational Query Rewriting for Retrieval with Reinforcement Learning","version":3},"cited_work":{"arxiv_id":"2112.08558","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2112.08558","snapshot_observed_at":"2026-06-29T21:43:59.829135Z","title":"Conqrr: Conversational query rewriting for retrieval with reinforcement learning.arXiv preprint arXiv:2112.08558, 2021","venue":null,"work_id":"479038d3-de52-43ff-937b-4e2f8bc60e07","year":2021},"citing_paper":{"arxiv_id":"2605.26352","last_updated":"2026-08-06T01:35:38Z","snapshot_observed_at":"2026-08-09T23:09:45.111534Z","submitted_at":"2026-05-25T21:56:29Z","title":"RICE-PO: Turning Retrieval Interactions into Credit Signals for Reasoning Agents","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-06-29T21:24:11.882268Z"},"links":{"cited_paper":"/paper/2112.08558","citing_paper":"/paper/2605.26352"},"observation_digest":"sha256:9e7b856c28434baa7bfd8a83fb9522487732c73132ca2a7900c5d7338a005856","observation_id":"d5bae0d1-0240-44cf-a47b-1aaab89d8ba1","resolution":{"observed_at":"2026-06-29T21:43:59.830712Z","resolver_source":"arxiv_id","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2112.08558","last_updated":"2022-10-28T06:19:46Z","snapshot_observed_at":"2026-08-16T18:55:04.659752Z","submitted_at":"2021-12-16T01:40:30Z","title":"CONQRR: Conversational Query Rewriting for Retrieval with Reinforcement Learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2112.08558","snapshot_observed_at":"2026-08-04T05:01:26.291117Z","title":"Conqrr: Conversational query rewriting for retrieval with reinforcement learning.arXiv preprint arXiv:2112.08558, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2605.26352","last_updated":"2026-08-06T01:35:38Z","snapshot_observed_at":"2026-08-09T23:09:45.111534Z","submitted_at":"2026-05-25T21:56:29Z","title":"RICE-PO: Turning Retrieval Interactions into Credit Signals for Reasoning Agents","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-04T05:01:26.291117Z"},"links":{"cited_paper":"/paper/2112.08558","citing_paper":"/paper/2605.26352"},"observation_digest":"sha256:2a6188e1ecfe6d379d9bf973c385b0254a6b7fccfac0b9f6dc90404e04fd5e67","observation_id":"84d51490-6307-44ef-bc0e-88b0240d96f8","resolution":{"observed_at":"2026-08-04T05:01:26.291117Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2112.08558/citation-record","integrity":"/paper/2112.08558/integrity","json":"/paper/2112.08558/citation-record.json","paper":"/paper/2112.08558"},"outbound":[],"paper":{"arxiv_id":"2112.08558","last_updated":"2022-10-28T06:19:46Z","latest_version":3,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-16T18:55:04.659752Z","submitted_at":"2021-12-16T01:40:30Z","title":"CONQRR: Conversational Query Rewriting for Retrieval with Reinforcement Learning"},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2112.08558."}