{"as_of":"2026-08-08T06:09:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5cca43c4927922ab29cdfa9e74ea88a49fc57d6df11747a2a5aa5b2966bd5d47","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":8,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":8,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":8,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":8,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:14:10.080248Z","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":"2026-05-11T09:56:03.030533Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2402.02563","last_updated":"2024-08-24T14:46:55Z","snapshot_observed_at":"2026-07-06T17:25:09.951423Z","submitted_at":"2024-02-04T16:45:01Z","title":"Synergy-of-Thoughts: Eliciting Efficient Reasoning in Hybrid Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.02563","snapshot_observed_at":"2026-08-07T14:14:10.080248Z","title":"Synergy-of-thoughts: Eliciting efficient reasoning in hybrid language models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.19623","last_updated":"2025-05-28T14:32:56Z","snapshot_observed_at":"2026-08-07T14:07:44.224059Z","submitted_at":"2025-05-26T07:45:11Z","title":"AgentRecBench: Benchmarking LLM Agent-based Personalized Recommender Systems","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T14:14:10.080248Z"},"links":{"cited_paper":"/paper/2402.02563","citing_paper":"/paper/2505.19623"},"observation_digest":"sha256:d4501218e8d57a78bed866e8b7db6f0d9c8f292574bdcb7166c7ffac898e6b4b","observation_id":"1759b2df-81c1-45e8-bcec-7576cae84de1","resolution":{"observed_at":"2026-08-07T14:14:10.080248Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.02563","last_updated":"2024-08-24T14:46:55Z","snapshot_observed_at":"2026-07-06T17:25:09.951423Z","submitted_at":"2024-02-04T16:45:01Z","title":"Synergy-of-Thoughts: Eliciting Efficient Reasoning in Hybrid Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.02563","snapshot_observed_at":"2026-08-07T12:59:25.466856Z","title":"https://doi.org/10.48550/arXiv.2402.02563","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22987","last_updated":"2025-07-17T20:04:13Z","snapshot_observed_at":"2026-08-08T02:09:32.171416Z","submitted_at":"2025-05-29T01:51:20Z","title":"Strategic Reflectivism In Intelligent Systems","version":2},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-07T12:59:25.466856Z"},"links":{"cited_paper":"/paper/2402.02563","citing_paper":"/paper/2505.22987"},"observation_digest":"sha256:38867896832b1fe477d150121b46fde6a5420b58fd44828eb9ba0532a3827d08","observation_id":"e2f17e7f-128d-4217-863f-18fb799381b3","resolution":{"observed_at":"2026-08-07T12:59:25.466856Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.02563","last_updated":"2024-08-24T14:46:55Z","snapshot_observed_at":"2026-07-06T17:25:09.951423Z","submitted_at":"2024-02-04T16:45:01Z","title":"Synergy-of-Thoughts: Eliciting Efficient Reasoning in Hybrid Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.02563","snapshot_observed_at":"2026-08-07T06:09:18.833058Z","title":"Synergy-of-thoughts: Eliciting efficient reasoning in hybrid language models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.06008","last_updated":"2025-06-06T11:53:27Z","snapshot_observed_at":"2026-08-07T10:44:12.390654Z","submitted_at":"2025-06-06T11:53:27Z","title":"Token Signature: Predicting Chain-of-Thought Gains with Token Decoding Feature in Large Language Models","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-07T06:09:18.833058Z"},"links":{"cited_paper":"/paper/2402.02563","citing_paper":"/paper/2506.06008"},"observation_digest":"sha256:b5e162ddcf32206c4e8dc201bb8fec1c9a9455713459cb9d3164654b86064b8c","observation_id":"13757d55-b4a4-4aeb-a828-f4ee582b6180","resolution":{"observed_at":"2026-08-07T06:09:18.833058Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.02563","last_updated":"2024-08-24T14:46:55Z","snapshot_observed_at":"2026-07-06T17:25:09.951423Z","submitted_at":"2024-02-04T16:45:01Z","title":"Synergy-of-Thoughts: Eliciting Efficient Reasoning in Hybrid Language Models","version":4},"cited_work":{"arxiv_id":"2402.02563","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.02563","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Synergy-of-thoughts: Eliciting efficient reasoning in hybrid language models","venue":null,"work_id":"04f0a350-03ff-429f-b94d-7fcc0160986b","year":2024},"citing_paper":{"arxiv_id":"2604.05550","last_updated":"2026-05-25T14:50:02Z","snapshot_observed_at":"2026-07-13T09:23:35.944049Z","submitted_at":"2026-04-07T07:52:01Z","title":"AutoSOTA: An End-to-End Automated Research System for State-of-the-Art AI Model Discovery","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-10T18:43:51.525392Z"},"links":{"cited_paper":"/paper/2402.02563","citing_paper":"/paper/2604.05550"},"observation_digest":"sha256:0c419c808c04be00084ff4630118dd5807b580b5e41c3f0923a6291383e8f34b","observation_id":"2dfc2cb9-4357-4207-a61e-82dcc0c894ad","resolution":{"observed_at":"2026-05-11T00:00:56.923044Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.02563","last_updated":"2024-08-24T14:46:55Z","snapshot_observed_at":"2026-07-06T17:25:09.951423Z","submitted_at":"2024-02-04T16:45:01Z","title":"Synergy-of-Thoughts: Eliciting Efficient Reasoning in Hybrid Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.02563","snapshot_observed_at":"2026-07-13T09:23:40.328143Z","title":"Synergy-of-thoughts: Eliciting efficient reasoning in hybrid language models.arXiv preprint arXiv:2402.02563, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2604.05550","last_updated":"2026-05-25T14:50:02Z","snapshot_observed_at":"2026-07-13T09:23:35.944049Z","submitted_at":"2026-04-07T07:52:01Z","title":"AutoSOTA: An End-to-End Automated Research System for State-of-the-Art AI Model Discovery","version":2},"reference_index":118,"source":"pdf_text","source_observed_at":"2026-07-13T09:23:40.328143Z"},"links":{"cited_paper":"/paper/2402.02563","citing_paper":"/paper/2604.05550"},"observation_digest":"sha256:cafecac1885f1da408191077140a337206028a516703aeb0529a05aef8c740c7","observation_id":"2d1c6103-197b-427c-81d0-9bcd39866011","resolution":{"observed_at":"2026-07-13T09:23:40.328143Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.02563","last_updated":"2024-08-24T14:46:55Z","snapshot_observed_at":"2026-07-06T17:25:09.951423Z","submitted_at":"2024-02-04T16:45:01Z","title":"Synergy-of-Thoughts: Eliciting Efficient Reasoning in Hybrid Language Models","version":4},"cited_work":{"arxiv_id":"2402.02563","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.02563","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Synergy-of-thoughts: Eliciting efficient reasoning in hybrid language models","venue":null,"work_id":"04f0a350-03ff-429f-b94d-7fcc0160986b","year":2024},"citing_paper":{"arxiv_id":"2604.12088","last_updated":"2026-07-30T19:39:21Z","snapshot_observed_at":"2026-08-05T23:10:35.381305Z","submitted_at":"2026-04-13T21:52:57Z","title":"Think Before You Code: Dual Reasoning for the NLSafety-Utility Trade-Off in LLM Code Generation","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-10T15:44:50.762366Z"},"links":{"cited_paper":"/paper/2402.02563","citing_paper":"/paper/2604.12088"},"observation_digest":"sha256:45dd194e9752e7a2c01fc81359aa2cd473ef29f28f78793062a16e8b19d364f7","observation_id":"73549ef7-ff81-4970-b067-59edb5702937","resolution":{"observed_at":"2026-05-11T09:56:03.049615Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.02563","last_updated":"2024-08-24T14:46:55Z","snapshot_observed_at":"2026-07-06T17:25:09.951423Z","submitted_at":"2024-02-04T16:45:01Z","title":"Synergy-of-Thoughts: Eliciting Efficient Reasoning in Hybrid Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.02563","snapshot_observed_at":"2026-08-03T00:19:59.347613Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2604.12088","last_updated":"2026-07-30T19:39:21Z","snapshot_observed_at":"2026-08-05T23:10:35.381305Z","submitted_at":"2026-04-13T21:52:57Z","title":"Think Before You Code: Dual Reasoning for the NLSafety-Utility Trade-Off in LLM Code Generation","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-03T00:19:59.347613Z"},"links":{"cited_paper":"/paper/2402.02563","citing_paper":"/paper/2604.12088"},"observation_digest":"sha256:b5a05eec430068410f69780a693757105c7aba17387273afe35713dcf2a8ec19","observation_id":"e5a92607-9d6b-4149-9a44-3d2b2b620720","resolution":{"observed_at":"2026-08-03T00:19:59.347613Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.02563","last_updated":"2024-08-24T14:46:55Z","snapshot_observed_at":"2026-07-06T17:25:09.951423Z","submitted_at":"2024-02-04T16:45:01Z","title":"Synergy-of-Thoughts: Eliciting Efficient Reasoning in Hybrid Language Models","version":4},"cited_work":{"arxiv_id":"2402.02563","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.02563","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Synergy-of-thoughts: Eliciting efficient reasoning in hybrid language models","venue":null,"work_id":"04f0a350-03ff-429f-b94d-7fcc0160986b","year":2024},"citing_paper":{"arxiv_id":"2604.17419","last_updated":"2026-04-19T12:59:20Z","snapshot_observed_at":"2026-07-06T23:04:32.734175Z","submitted_at":"2026-04-19T12:59:20Z","title":"ARMove: Learning to Predict Human Mobility through Agentic Reasoning","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-05-10T05:33:51.021640Z"},"links":{"cited_paper":"/paper/2402.02563","citing_paper":"/paper/2604.17419"},"observation_digest":"sha256:0ff2be47c859e63981fea948d0f78ef69eaac6d96d059d9ba28af9a3e1759cda","observation_id":"729ca07c-2203-4b75-8fe2-6d45b5c53bab","resolution":{"observed_at":"2026-05-10T05:36:01.678305Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2402.02563/citation-record","integrity":"/paper/2402.02563/integrity","json":"/paper/2402.02563/citation-record.json","paper":"/paper/2402.02563"},"outbound":[],"paper":{"arxiv_id":"2402.02563","last_updated":"2024-08-24T14:46:55Z","latest_version":4,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-06T17:25:09.951423Z","submitted_at":"2024-02-04T16:45:01Z","title":"Synergy-of-Thoughts: Eliciting Efficient Reasoning in Hybrid 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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2402.02563."}