{"as_of":"2026-08-16T22:24:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:205cc952d1cd7ced464e534fe75827c5456c1e124164c16c74bb1a639d85e302","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":10,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":10,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+00:00","state":"measured"},{"denominator":10,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":10,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T20:19:49.742844Z","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":"2026-05-18T21:16:50.926737Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2303.06135","last_updated":"2023-03-30T18:28:05Z","snapshot_observed_at":"2026-08-16T15:49:08.862387Z","submitted_at":"2023-03-10T18:53:52Z","title":"Rewarding Chatbots for Real-World Engagement with Millions of Users","version":2},"cited_work":{"arxiv_id":"2303.06135","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2303.06135","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2303.06135 , year=","venue":null,"work_id":"df0d37a8-7318-47ee-8b4c-9bf244cd33ab","year":2023},"citing_paper":{"arxiv_id":"2309.11495","last_updated":"2023-09-25T15:25:49Z","snapshot_observed_at":"2026-08-12T01:35:36.884518Z","submitted_at":"2023-09-20T17:50:55Z","title":"Chain-of-Verification Reduces Hallucination in Large Language Models","version":2},"reference_index":142,"source":"arxiv_source","source_observed_at":"2026-05-18T01:06:49.811982Z"},"links":{"cited_paper":"/paper/2303.06135","citing_paper":"/paper/2309.11495"},"observation_digest":"sha256:07f1865381506be8a5c7bf49b56ead2c5dffd5ff53fad5b1b033ec68ba608a45","observation_id":"33434c89-6fbb-405c-b212-a073e841fc6f","resolution":{"observed_at":"2026-05-18T01:06:50.344798Z","resolver_source":"arxiv_id","status":"verified_exact"},"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":"2303.06135","last_updated":"2023-03-30T18:28:05Z","snapshot_observed_at":"2026-08-16T15:49:08.862387Z","submitted_at":"2023-03-10T18:53:52Z","title":"Rewarding Chatbots for Real-World Engagement with Millions of Users","version":2},"cited_work":{"arxiv_id":"2303.06135","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2303.06135","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2303.06135 , year=","venue":null,"work_id":"df0d37a8-7318-47ee-8b4c-9bf244cd33ab","year":2023},"citing_paper":{"arxiv_id":"2407.21787","last_updated":"2024-12-30T19:03:24Z","snapshot_observed_at":"2026-08-14T10:00:52.343929Z","submitted_at":"2024-07-31T17:57:25Z","title":"Large Language Monkeys: Scaling Inference Compute with Repeated Sampling","version":3},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-12T04:42:23.297389Z"},"links":{"cited_paper":"/paper/2303.06135","citing_paper":"/paper/2407.21787"},"observation_digest":"sha256:3955e61de9b8c6ce39429c9c381db8069db42fc786facdedefc5d88e5cd76044","observation_id":"fcb9b52d-5477-42a5-a5db-c6ed9ff68ddb","resolution":{"observed_at":"2026-05-12T04:42:23.587540Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2303.06135","last_updated":"2023-03-30T18:28:05Z","snapshot_observed_at":"2026-08-16T15:49:08.862387Z","submitted_at":"2023-03-10T18:53:52Z","title":"Rewarding Chatbots for Real-World Engagement with Millions of Users","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.06135","snapshot_observed_at":"2026-08-10T23:09:44.338057Z","title":"Rewarding chatbots for real-world engagement with millions of users","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.20993","last_updated":"2025-05-27T16:41:53Z","snapshot_observed_at":"2026-08-12T17:14:32.746931Z","submitted_at":"2024-12-30T14:57:53Z","title":"Efficiently Scaling LLM Reasoning with Certaindex","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-10T23:09:44.338057Z"},"links":{"cited_paper":"/paper/2303.06135","citing_paper":"/paper/2412.20993"},"observation_digest":"sha256:81e90629bee39013fe6a4abcc4b96064e264c37f61b569aeedef0f83e50b2123","observation_id":"d4ca40bd-c3bc-4bd4-900a-58077fb8a5b4","resolution":{"observed_at":"2026-08-10T23:09:44.338057Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.06135","last_updated":"2023-03-30T18:28:05Z","snapshot_observed_at":"2026-08-16T15:49:08.862387Z","submitted_at":"2023-03-10T18:53:52Z","title":"Rewarding Chatbots for Real-World Engagement with Millions of Users","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.06135","snapshot_observed_at":"2026-08-15T20:19:49.742844Z","title":"Rewarding chatbots for real-world engagement with millions of users","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.13326","last_updated":"2025-05-19T16:34:56Z","snapshot_observed_at":"2026-08-15T20:13:23.521679Z","submitted_at":"2025-05-19T16:34:56Z","title":"Thinking Short and Right Over Thinking Long: Serving LLM Reasoning Efficiently and Accurately","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-15T20:19:49.742844Z"},"links":{"cited_paper":"/paper/2303.06135","citing_paper":"/paper/2505.13326"},"observation_digest":"sha256:17cddcd5964a298782066aa188cfb7ee325b2dae8521e174d72a2eae413a9950","observation_id":"64fe63e3-ef57-4246-9c11-daef4aa030c6","resolution":{"observed_at":"2026-08-15T20:19:49.742844Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.06135","last_updated":"2023-03-30T18:28:05Z","snapshot_observed_at":"2026-08-16T15:49:08.862387Z","submitted_at":"2023-03-10T18:53:52Z","title":"Rewarding Chatbots for Real-World Engagement with Millions of Users","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.06135","snapshot_observed_at":"2026-08-06T16:09:04.740135Z","title":"Carlos E Jimenez, John Yang, Alexander Wettig, Shunyu Yao, Kexin Pei, Ofir Press, and Karthik R Narasimhan","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.14419","last_updated":"2025-07-19T00:28:10Z","snapshot_observed_at":"2026-08-15T20:49:18.626920Z","submitted_at":"2025-07-19T00:28:10Z","title":"It's Not That Simple. An Analysis of Simple Test-Time Scaling","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T16:09:04.740135Z"},"links":{"cited_paper":"/paper/2303.06135","citing_paper":"/paper/2507.14419"},"observation_digest":"sha256:d49f6a63cbd7322222cf933fa9b734a5f73386d828a6c42761de4a1d9e418e24","observation_id":"2b2eba29-5b23-454f-9ea9-301c316c0e1f","resolution":{"observed_at":"2026-08-06T16:09:04.740135Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.06135","last_updated":"2023-03-30T18:28:05Z","snapshot_observed_at":"2026-08-16T15:49:08.862387Z","submitted_at":"2023-03-10T18:53:52Z","title":"Rewarding Chatbots for Real-World Engagement with Millions of Users","version":2},"cited_work":{"arxiv_id":"2303.06135","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2303.06135","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2303.06135 , year=","venue":null,"work_id":"df0d37a8-7318-47ee-8b4c-9bf244cd33ab","year":2023},"citing_paper":{"arxiv_id":"2509.00084","last_updated":"2026-04-27T15:34:36Z","snapshot_observed_at":"2026-08-11T14:24:53.285716Z","submitted_at":"2025-08-27T06:51:48Z","title":"Learning to Refine: Self-Refinement of Parallel Reasoning in LLMs","version":2},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-05-18T21:16:15.703057Z"},"links":{"cited_paper":"/paper/2303.06135","citing_paper":"/paper/2509.00084"},"observation_digest":"sha256:bf5cf38d6b87283f46d7654a700fab4c8f8d6538b3f1638f8e79ced5917eef25","observation_id":"c34364a8-461e-4039-bb16-c0d60030627f","resolution":{"observed_at":"2026-05-18T21:16:50.932213Z","resolver_source":"arxiv_id","status":"verified_exact"},"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":"2303.06135","last_updated":"2023-03-30T18:28:05Z","snapshot_observed_at":"2026-08-16T15:49:08.862387Z","submitted_at":"2023-03-10T18:53:52Z","title":"Rewarding Chatbots for Real-World Engagement with Millions of Users","version":2},"cited_work":{"arxiv_id":"2303.06135","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2303.06135","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2303.06135 , year=","venue":null,"work_id":"df0d37a8-7318-47ee-8b4c-9bf244cd33ab","year":2023},"citing_paper":{"arxiv_id":"2604.17433","last_updated":"2026-06-04T22:58:20Z","snapshot_observed_at":"2026-08-15T16:37:46.861894Z","submitted_at":"2026-04-19T13:26:04Z","title":"Self-Consistency from Only Two Samples: CoT-PoT Ensembling for Efficient LLM Reasoning","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-05-10T05:40:25.414166Z"},"links":{"cited_paper":"/paper/2303.06135","citing_paper":"/paper/2604.17433"},"observation_digest":"sha256:31dfafd7192ed95e3d7569c0a422a830356a8d68e7c502b94ba35e06d4c3e0b5","observation_id":"34f4f8a8-0113-4255-876b-919a9fd4b6db","resolution":{"observed_at":"2026-05-10T05:41:01.905095Z","resolver_source":"arxiv_id","status":"verified_exact"},"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":"2303.06135","last_updated":"2023-03-30T18:28:05Z","snapshot_observed_at":"2026-08-16T15:49:08.862387Z","submitted_at":"2023-03-10T18:53:52Z","title":"Rewarding Chatbots for Real-World Engagement with Millions of Users","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.06135","snapshot_observed_at":"2026-08-01T00:57:15.922946Z","title":"good history","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.27816","last_updated":"2026-07-31T02:46:07Z","snapshot_observed_at":"2026-08-06T10:23:40.605905Z","submitted_at":"2026-07-30T07:55:35Z","title":"Beyond Borrowed Histories: Person-Aligned User Simulation for Interactive Role-Playing Evaluation","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-01T00:57:15.922946Z"},"links":{"cited_paper":"/paper/2303.06135","citing_paper":"/paper/2607.27816"},"observation_digest":"sha256:a1693040aecc92fe60abf59368974e7ebd96ae79ae13473d785506f9f7f4ee58","observation_id":"a07d6d64-68fc-4499-9381-2e514e2a9b1e","resolution":{"observed_at":"2026-08-01T00:57:15.922946Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.06135","last_updated":"2023-03-30T18:28:05Z","snapshot_observed_at":"2026-08-16T15:49:08.862387Z","submitted_at":"2023-03-10T18:53:52Z","title":"Rewarding Chatbots for Real-World Engagement with Millions of Users","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.06135","snapshot_observed_at":"2026-08-03T01:44:11.709291Z","title":"good history","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.27816","last_updated":"2026-07-31T02:46:07Z","snapshot_observed_at":"2026-08-06T10:23:40.605905Z","submitted_at":"2026-07-30T07:55:35Z","title":"Beyond Borrowed Histories: Person-Aligned User Simulation for Interactive Role-Playing Evaluation","version":2},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-03T01:44:11.709291Z"},"links":{"cited_paper":"/paper/2303.06135","citing_paper":"/paper/2607.27816"},"observation_digest":"sha256:4392f6eacc3c0eff4bb7d71fb1735a83b138b6eed8b83adb968a4a29ec97bfe5","observation_id":"f4a3d912-9718-405f-a554-e88eac432701","resolution":{"observed_at":"2026-08-03T01:44:11.709291Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.06135","last_updated":"2023-03-30T18:28:05Z","snapshot_observed_at":"2026-08-16T15:49:08.862387Z","submitted_at":"2023-03-10T18:53:52Z","title":"Rewarding Chatbots for Real-World Engagement with Millions of Users","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.06135","snapshot_observed_at":"2026-08-12T14:10:45.650193Z","title":"arXiv preprint arXiv:2303.06135 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-14T23:12:19.265618Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":157,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:45.650193Z"},"links":{"cited_paper":"/paper/2303.06135","citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:a078424fed8f91d36c9cb00ef14ac48bdce96e10058b56f3dfa0e961c9407969","observation_id":"ab821504-ac04-44e7-b6ae-137494d39751","resolution":{"observed_at":"2026-08-12T14:10:45.650193Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2303.06135/citation-record","integrity":"/paper/2303.06135/integrity","json":"/paper/2303.06135/citation-record.json","paper":"/paper/2303.06135"},"outbound":[],"paper":{"arxiv_id":"2303.06135","last_updated":"2023-03-30T18:28:05Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-16T15:49:08.862387Z","submitted_at":"2023-03-10T18:53:52Z","title":"Rewarding Chatbots for Real-World Engagement with Millions of Users"},"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 10 inbound Pith citation observations for arXiv:2303.06135."}