{"as_of":"2026-08-06T01:43:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9fc0a15496a7a3e734a743b0ba08f0055e25870a3212971141c3045e1e5f6ba3","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":15,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":15,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-05T06:32:48.257954+00:00","state":"measured"},{"denominator":15,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":15,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T17:26:28.962560Z","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":0,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2502.16906","last_updated":"2025-02-24T07:02:31Z","snapshot_observed_at":"2026-08-05T03:35:32.910265Z","submitted_at":"2025-02-24T07:02:31Z","title":"AutoLogi: Automated Generation of Logic Puzzles for Evaluating Reasoning Abilities of Large Language Models","version":1},"cited_work":{"arxiv_id":"2502.16906","doi":"10.48550/arxiv.2502.16906","metadata_source":"arxiv_reference","pith_arxiv_id":"2502.16906","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Autologi: Automated generation of logic puzzles for evaluating reasoning abilities of large language models","venue":"ArXiv.org","work_id":"b873f3d4-53ba-4291-9d0a-45aacb41b687","year":2025},"citing_paper":{"arxiv_id":"2505.09388","last_updated":"2025-05-14T13:41:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-05-14T13:41:34Z","title":"Qwen3 Technical Report","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-05-09T06:35:27.813995Z"},"links":{"cited_paper":"/paper/2502.16906","citing_paper":"/paper/2505.09388"},"observation_digest":"sha256:cef0e6028103dad766d4f87e68e41c808061e7ef8b0a84a3c7f2bff731d1da23","observation_id":"61d70467-2d93-4894-ab2b-12127d00e68c","resolution":{"observed_at":"2026-05-09T06:35:28.391593Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.16906","last_updated":"2025-02-24T07:02:31Z","snapshot_observed_at":"2026-08-05T03:35:32.910265Z","submitted_at":"2025-02-24T07:02:31Z","title":"AutoLogi: Automated Generation of Logic Puzzles for Evaluating Reasoning Abilities of Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.16906","snapshot_observed_at":"2026-08-05T17:26:28.962560Z","title":"AutoLogi : Automated generation of logic puzzles for evaluating reasoning abilities of large language models","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.16279","last_updated":"2025-08-22T10:35:56Z","snapshot_observed_at":"2026-08-05T17:26:26.551966Z","submitted_at":"2025-08-22T10:35:56Z","title":"AgentScope 1.0: A Developer-Centric Framework for Building Agentic Applications","version":1},"reference_index":74,"source":"arxiv_source","source_observed_at":"2026-08-05T17:26:28.962560Z"},"links":{"cited_paper":"/paper/2502.16906","citing_paper":"/paper/2508.16279"},"observation_digest":"sha256:2b3ce5a1c9f163acc49b818e6498ae0b7507772dfb69708841b8cbdbdf2f6a9f","observation_id":"2fc2dfe3-78b3-47cf-b198-f602250c3b73","resolution":{"observed_at":"2026-08-05T17:26:28.962560Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.16906","last_updated":"2025-02-24T07:02:31Z","snapshot_observed_at":"2026-08-05T03:35:32.910265Z","submitted_at":"2025-02-24T07:02:31Z","title":"AutoLogi: Automated Generation of Logic Puzzles for Evaluating Reasoning Abilities of Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.16906","snapshot_observed_at":"2026-08-05T04:42:06.489294Z","title":"Autologi: Automated generation of logic puzzles for evaluating reasoning abilities of large language models.arXiv preprint arXiv:2502.16906, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.06024","last_updated":"2025-09-07T11:52:18Z","snapshot_observed_at":"2026-08-05T04:42:04.004629Z","submitted_at":"2025-09-07T11:52:18Z","title":"Rethinking Reasoning Quality in Large Language Models through Enhanced Chain-of-Thought via RL","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-05T04:42:06.489294Z"},"links":{"cited_paper":"/paper/2502.16906","citing_paper":"/paper/2509.06024"},"observation_digest":"sha256:5b6080f95271940cdd1dd3c318a712214c4d56357f2a2886dc5c1cdc8409f185","observation_id":"921924ed-5215-4ebe-ba12-99a806a60fa3","resolution":{"observed_at":"2026-08-05T04:42:06.489294Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.16906","last_updated":"2025-02-24T07:02:31Z","snapshot_observed_at":"2026-08-05T03:35:32.910265Z","submitted_at":"2025-02-24T07:02:31Z","title":"AutoLogi: Automated Generation of Logic Puzzles for Evaluating Reasoning Abilities of Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.16906","snapshot_observed_at":"2026-08-04T16:07:49.097911Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.16679","last_updated":"2025-09-20T13:11:28Z","snapshot_observed_at":"2026-08-04T16:07:24.699834Z","submitted_at":"2025-09-20T13:11:28Z","title":"Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle","version":1},"reference_index":261,"source":"pdf_text","source_observed_at":"2026-08-04T16:07:49.097911Z"},"links":{"cited_paper":"/paper/2502.16906","citing_paper":"/paper/2509.16679"},"observation_digest":"sha256:b96d0931531264792e08a7608542006b47b8cb6efd11600a504a10da1511d5f7","observation_id":"fae12d53-e30b-474c-985e-f97f632bfb21","resolution":{"observed_at":"2026-08-04T16:07:49.097911Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.16906","last_updated":"2025-02-24T07:02:31Z","snapshot_observed_at":"2026-08-05T03:35:32.910265Z","submitted_at":"2025-02-24T07:02:31Z","title":"AutoLogi: Automated Generation of Logic Puzzles for Evaluating Reasoning Abilities of Large Language Models","version":1},"cited_work":{"arxiv_id":"2502.16906","doi":"10.48550/arxiv.2502.16906","metadata_source":"arxiv_reference","pith_arxiv_id":"2502.16906","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Autologi: Automated generation of logic puzzles for evaluating reasoning abilities of large language models","venue":"ArXiv.org","work_id":"b873f3d4-53ba-4291-9d0a-45aacb41b687","year":2025},"citing_paper":{"arxiv_id":"2602.02188","last_updated":"2026-04-09T18:30:49Z","snapshot_observed_at":"2026-07-06T22:44:09.804048Z","submitted_at":"2026-02-02T14:55:48Z","title":"Reasoning in a Combinatorial and Constrained World: Benchmarking LLMs on Natural-Language Combinatorial Optimization","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-16T08:18:52.540487Z"},"links":{"cited_paper":"/paper/2502.16906","citing_paper":"/paper/2602.02188"},"observation_digest":"sha256:df4c3a9252c6a3b662ef97a626e0f3c87778c986182cb4a3f30c51d479b658cf","observation_id":"bb6b602b-d56a-428d-b4fd-58233e974c8f","resolution":{"observed_at":"2026-05-16T08:20:46.040633Z","resolver_source":"arxiv_id","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.16906","last_updated":"2025-02-24T07:02:31Z","snapshot_observed_at":"2026-08-05T03:35:32.910265Z","submitted_at":"2025-02-24T07:02:31Z","title":"AutoLogi: Automated Generation of Logic Puzzles for Evaluating Reasoning Abilities of Large Language Models","version":1},"cited_work":{"arxiv_id":"2502.16906","doi":"10.48550/arxiv.2502.16906","metadata_source":"arxiv_reference","pith_arxiv_id":"2502.16906","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Autologi: Automated generation of logic puzzles for evaluating reasoning abilities of large language models","venue":"ArXiv.org","work_id":"b873f3d4-53ba-4291-9d0a-45aacb41b687","year":2025},"citing_paper":{"arxiv_id":"2605.05216","last_updated":"2026-04-17T01:45:30Z","snapshot_observed_at":"2026-07-06T23:17:52.987860Z","submitted_at":"2026-04-17T01:45:30Z","title":"SAT: Sequential Agent Tuning for Coordinator Free Plug and Play Multi-LLM Training with Monotonic Improvement Guarantees","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-05-10T09:34:33.271537Z"},"links":{"cited_paper":"/paper/2502.16906","citing_paper":"/paper/2605.05216"},"observation_digest":"sha256:10e3540b1e393902887f4ad23fab14666a150b50b0f5d5716374c712bf0c3ef1","observation_id":"af8ec529-9c52-46e0-b9f2-d84e0d06ff84","resolution":{"observed_at":"2026-05-10T09:38:42.256941Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.16906","last_updated":"2025-02-24T07:02:31Z","snapshot_observed_at":"2026-08-05T03:35:32.910265Z","submitted_at":"2025-02-24T07:02:31Z","title":"AutoLogi: Automated Generation of Logic Puzzles for Evaluating Reasoning Abilities of Large Language Models","version":1},"cited_work":{"arxiv_id":"2502.16906","doi":"10.48550/arxiv.2502.16906","metadata_source":"arxiv_reference","pith_arxiv_id":"2502.16906","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Autologi: Automated generation of logic puzzles for evaluating reasoning abilities of large language models","venue":"ArXiv.org","work_id":"b873f3d4-53ba-4291-9d0a-45aacb41b687","year":2025},"citing_paper":{"arxiv_id":"2605.07731","last_updated":"2026-05-20T09:02:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-08T13:36:24Z","title":"Benchmarking EngGPT2-16B-A3B against Comparable Italian and International Open-source LLMs","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-05-11T03:40:04.692279Z"},"links":{"cited_paper":"/paper/2502.16906","citing_paper":"/paper/2605.07731"},"observation_digest":"sha256:11a175f6766377eaa00653cca02f4009d9682a1eb926c10741049c82d3bedaad","observation_id":"8430b5b8-537a-47e4-a26b-1fbbc7361c27","resolution":{"observed_at":"2026-05-11T03:40:53.391776Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.16906","last_updated":"2025-02-24T07:02:31Z","snapshot_observed_at":"2026-08-05T03:35:32.910265Z","submitted_at":"2025-02-24T07:02:31Z","title":"AutoLogi: Automated Generation of Logic Puzzles for Evaluating Reasoning Abilities of Large Language Models","version":1},"cited_work":{"arxiv_id":"2502.16906","doi":"10.48550/arxiv.2502.16906","metadata_source":"arxiv_reference","pith_arxiv_id":"2502.16906","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Autologi: Automated generation of logic puzzles for evaluating reasoning abilities of large language models","venue":"ArXiv.org","work_id":"b873f3d4-53ba-4291-9d0a-45aacb41b687","year":2025},"citing_paper":{"arxiv_id":"2605.07731","last_updated":"2026-05-20T09:02:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-08T13:36:24Z","title":"Benchmarking EngGPT2-16B-A3B against Comparable Italian and International Open-source LLMs","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-05-21T08:14:55.858466Z"},"links":{"cited_paper":"/paper/2502.16906","citing_paper":"/paper/2605.07731"},"observation_digest":"sha256:f8056c5763bd0536d27ffe9c2270bd53d2edeabf664fa2f4e94a2c15ac4bdecc","observation_id":"6255b2b0-8cf2-44dd-9ceb-944cee501009","resolution":{"observed_at":"2026-05-21T08:19:52.933514Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.16906","last_updated":"2025-02-24T07:02:31Z","snapshot_observed_at":"2026-08-05T03:35:32.910265Z","submitted_at":"2025-02-24T07:02:31Z","title":"AutoLogi: Automated Generation of Logic Puzzles for Evaluating Reasoning Abilities of Large Language Models","version":1},"cited_work":{"arxiv_id":"2502.16906","doi":"10.48550/arxiv.2502.16906","metadata_source":"arxiv_reference","pith_arxiv_id":"2502.16906","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Autologi: Automated generation of logic puzzles for evaluating reasoning abilities of large language models","venue":"ArXiv.org","work_id":"b873f3d4-53ba-4291-9d0a-45aacb41b687","year":2025},"citing_paper":{"arxiv_id":"2605.15207","last_updated":"2026-07-08T14:36:15Z","snapshot_observed_at":"2026-07-12T17:52:34.996306Z","submitted_at":"2026-05-01T23:42:57Z","title":"TeamTR: Trust-Region Fine-Tuning for Multi-Agent LLM Coordination","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-05-19T18:01:06.649723Z"},"links":{"cited_paper":"/paper/2502.16906","citing_paper":"/paper/2605.15207"},"observation_digest":"sha256:e9ed72c2f11c258879954a63d84f4e3ef61fa2f7892eea5aad3f0e626921108e","observation_id":"6529ab90-eb29-4f1d-9acf-fac850081b8a","resolution":{"observed_at":"2026-05-19T18:02:42.304389Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.16906","last_updated":"2025-02-24T07:02:31Z","snapshot_observed_at":"2026-08-05T03:35:32.910265Z","submitted_at":"2025-02-24T07:02:31Z","title":"AutoLogi: Automated Generation of Logic Puzzles for Evaluating Reasoning Abilities of Large Language Models","version":1},"cited_work":{"arxiv_id":"2502.16906","doi":"10.48550/arxiv.2502.16906","metadata_source":"arxiv_reference","pith_arxiv_id":"2502.16906","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Autologi: Automated generation of logic puzzles for evaluating reasoning abilities of large language models","venue":"ArXiv.org","work_id":"b873f3d4-53ba-4291-9d0a-45aacb41b687","year":2025},"citing_paper":{"arxiv_id":"2606.05201","last_updated":"2026-05-22T17:05:31Z","snapshot_observed_at":"2026-07-06T23:45:11.627867Z","submitted_at":"2026-05-22T17:05:31Z","title":"State commitment learning: training language models to distinguish computation from memory","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-06-30T15:21:49.337222Z"},"links":{"cited_paper":"/paper/2502.16906","citing_paper":"/paper/2606.05201"},"observation_digest":"sha256:8eaf393e8180ebad0ed3afab1bae12bdf94ce4caa1b3c64d36ee24e260dcbc32","observation_id":"8371a94e-7a62-45dc-9124-7ca43bf9205c","resolution":{"observed_at":"2026-06-30T15:24:49.914036Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.16906","last_updated":"2025-02-24T07:02:31Z","snapshot_observed_at":"2026-08-05T03:35:32.910265Z","submitted_at":"2025-02-24T07:02:31Z","title":"AutoLogi: Automated Generation of Logic Puzzles for Evaluating Reasoning Abilities of Large Language Models","version":1},"cited_work":{"arxiv_id":"2502.16906","doi":"10.48550/arxiv.2502.16906","metadata_source":"arxiv_reference","pith_arxiv_id":"2502.16906","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Autologi: Automated generation of logic puzzles for evaluating reasoning abilities of large language models","venue":"ArXiv.org","work_id":"b873f3d4-53ba-4291-9d0a-45aacb41b687","year":2025},"citing_paper":{"arxiv_id":"2606.05464","last_updated":"2026-06-03T21:43:38Z","snapshot_observed_at":"2026-08-03T10:19:08.677126Z","submitted_at":"2026-06-03T21:43:38Z","title":"Step-by-Step Optimization-like Reasoning in LLMs over Expanding Search Spaces","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-06-28T05:46:26.938277Z"},"links":{"cited_paper":"/paper/2502.16906","citing_paper":"/paper/2606.05464"},"observation_digest":"sha256:0a5faac7e43fa549efad57981eb145a2877fc362ba4d23921c98486102eb0582","observation_id":"05d63e17-353a-4134-b2d0-5d88a9c4dc25","resolution":{"observed_at":"2026-07-02T08:46:48.966323Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.16906","last_updated":"2025-02-24T07:02:31Z","snapshot_observed_at":"2026-08-05T03:35:32.910265Z","submitted_at":"2025-02-24T07:02:31Z","title":"AutoLogi: Automated Generation of Logic Puzzles for Evaluating Reasoning Abilities of Large Language Models","version":1},"cited_work":{"arxiv_id":"2502.16906","doi":"10.48550/arxiv.2502.16906","metadata_source":"arxiv_reference","pith_arxiv_id":"2502.16906","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Autologi: Automated generation of logic puzzles for evaluating reasoning abilities of large language models","venue":"ArXiv.org","work_id":"b873f3d4-53ba-4291-9d0a-45aacb41b687","year":2025},"citing_paper":{"arxiv_id":"2606.08068","last_updated":"2026-07-08T15:21:39Z","snapshot_observed_at":"2026-07-12T14:47:31.355938Z","submitted_at":"2026-06-06T09:33:32Z","title":"DICE: Entropy-Regularized Equilibrium Selection for Stable Multi-Agent LLM Coordination","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-06-27T19:58:32.016341Z"},"links":{"cited_paper":"/paper/2502.16906","citing_paper":"/paper/2606.08068"},"observation_digest":"sha256:9e7755a4d8f4f12059f5f8e790a5e78691902a4d31660f3497c1dc56d5019bd3","observation_id":"34c8f210-0e13-4670-b947-77b4eeb7219a","resolution":{"observed_at":"2026-07-02T20:57:23.834879Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.16906","last_updated":"2025-02-24T07:02:31Z","snapshot_observed_at":"2026-08-05T03:35:32.910265Z","submitted_at":"2025-02-24T07:02:31Z","title":"AutoLogi: Automated Generation of Logic Puzzles for Evaluating Reasoning Abilities of Large Language Models","version":1},"cited_work":{"arxiv_id":"2502.16906","doi":"10.48550/arxiv.2502.16906","metadata_source":"arxiv_reference","pith_arxiv_id":"2502.16906","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Autologi: Automated generation of logic puzzles for evaluating reasoning abilities of large language models","venue":"ArXiv.org","work_id":"b873f3d4-53ba-4291-9d0a-45aacb41b687","year":2025},"citing_paper":{"arxiv_id":"2606.15079","last_updated":"2026-06-13T03:21:49Z","snapshot_observed_at":"2026-07-06T23:52:28.557859Z","submitted_at":"2026-06-13T03:21:49Z","title":"Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale","version":1},"reference_index":178,"source":"arxiv_source","source_observed_at":"2026-07-02T22:10:59.568675Z"},"links":{"cited_paper":"/paper/2502.16906","citing_paper":"/paper/2606.15079"},"observation_digest":"sha256:7ba8917936032850a4559f34d1980cedd14037c808e26a7fa5c54e3243f1613a","observation_id":"79696192-4792-4a30-aab1-6685a835fb26","resolution":{"observed_at":"2026-07-02T22:17:24.911038Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.16906","last_updated":"2025-02-24T07:02:31Z","snapshot_observed_at":"2026-08-05T03:35:32.910265Z","submitted_at":"2025-02-24T07:02:31Z","title":"AutoLogi: Automated Generation of Logic Puzzles for Evaluating Reasoning Abilities of Large Language Models","version":1},"cited_work":{"arxiv_id":"2502.16906","doi":"10.48550/arxiv.2502.16906","metadata_source":"arxiv_reference","pith_arxiv_id":"2502.16906","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Autologi: Automated generation of logic puzzles for evaluating reasoning abilities of large language models","venue":"ArXiv.org","work_id":"b873f3d4-53ba-4291-9d0a-45aacb41b687","year":2025},"citing_paper":{"arxiv_id":"2606.26671","last_updated":"2026-06-25T07:03:25Z","snapshot_observed_at":"2026-08-02T22:22:51.635376Z","submitted_at":"2026-06-25T07:03:25Z","title":"NebulaExp-8B: An Empirical Post-Training Pipeline via Full-Scale Ablation Research","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-06-26T05:00:23.510590Z"},"links":{"cited_paper":"/paper/2502.16906","citing_paper":"/paper/2606.26671"},"observation_digest":"sha256:2fbe3798d23b012d642047ce9bb06d41236151178a755087e0a4a145b2c831a3","observation_id":"5857aa9f-5d85-4dc2-9175-8b79528fcaf7","resolution":{"observed_at":"2026-07-04T13:39:51.123842Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.16906","last_updated":"2025-02-24T07:02:31Z","snapshot_observed_at":"2026-08-05T03:35:32.910265Z","submitted_at":"2025-02-24T07:02:31Z","title":"AutoLogi: Automated Generation of Logic Puzzles for Evaluating Reasoning Abilities of Large Language Models","version":1},"cited_work":{"arxiv_id":"2502.16906","doi":"10.48550/arxiv.2502.16906","metadata_source":"arxiv_reference","pith_arxiv_id":"2502.16906","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Autologi: Automated generation of logic puzzles for evaluating reasoning abilities of large language models","venue":"ArXiv.org","work_id":"b873f3d4-53ba-4291-9d0a-45aacb41b687","year":2025},"citing_paper":{"arxiv_id":"2606.30626","last_updated":"2026-06-29T17:55:53Z","snapshot_observed_at":"2026-08-04T05:52:55.612701Z","submitted_at":"2026-06-29T17:55:53Z","title":"DOPD: Dual On-policy Distillation","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-06-30T05:51:18.037199Z"},"links":{"cited_paper":"/paper/2502.16906","citing_paper":"/paper/2606.30626"},"observation_digest":"sha256:84c41215106a7b0b16de4919efbd34ead52ec399c222c54c2177ecb67dfa70c3","observation_id":"2f4bec64-5d69-4635-bf16-f9b940c2da7c","resolution":{"observed_at":"2026-06-30T05:54:18.625995Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2502.16906/citation-record","integrity":"/paper/2502.16906/integrity","json":"/paper/2502.16906/citation-record.json","paper":"/paper/2502.16906"},"outbound":[],"paper":{"arxiv_id":"2502.16906","last_updated":"2025-02-24T07:02:31Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-05T03:35:32.910265Z","submitted_at":"2025-02-24T07:02:31Z","title":"AutoLogi: Automated Generation of Logic Puzzles for Evaluating Reasoning Abilities 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":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"thesis":"As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2502.16906."}