{"as_of":"2026-08-05T22:51:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:34090a34a1488c52c596b3ec4e82081e5d282076f01559d40ba215428f0ceb56","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":33,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":33,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-05T06:32:48.257954+00:00","state":"measured"},{"denominator":33,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":33,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T17:26:28.861283Z","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":"2026-07-04T18:30:01.604649Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2502.01100","last_updated":"2025-07-15T01:14:25Z","snapshot_observed_at":"2026-07-06T20:30:02.903743Z","submitted_at":"2025-02-03T06:44:49Z","title":"ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning","version":2},"cited_work":{"arxiv_id":"2502.01100","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.01100","snapshot_observed_at":"2026-07-04T18:30:01.604649Z","title":"Zebralogic: On the scaling limits of llms for logical reasoning","venue":null,"work_id":"a87849c2-9339-401d-8ff9-7776817fe025","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":25,"source":"pdf_text","source_observed_at":"2026-05-09T06:35:27.813995Z"},"links":{"cited_paper":"/paper/2502.01100","citing_paper":"/paper/2505.09388"},"observation_digest":"sha256:2c2fabf23e9636a595e15f318ea263ad3e9031e004f15e973d8fefd3f131186c","observation_id":"dc506c94-06cc-4389-8fe7-c0f6d25fa85b","resolution":{"observed_at":"2026-05-09T06:35:28.564170Z","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":"2502.01100","last_updated":"2025-07-15T01:14:25Z","snapshot_observed_at":"2026-07-06T20:30:02.903743Z","submitted_at":"2025-02-03T06:44:49Z","title":"ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning","version":2},"cited_work":{"arxiv_id":"2502.01100","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.01100","snapshot_observed_at":"2026-07-04T18:30:01.604649Z","title":"Zebralogic: On the scaling limits of llms for logical reasoning","venue":null,"work_id":"a87849c2-9339-401d-8ff9-7776817fe025","year":2025},"citing_paper":{"arxiv_id":"2505.24298","last_updated":"2026-03-02T03:07:29Z","snapshot_observed_at":"2026-08-02T16:10:09.199211Z","submitted_at":"2025-05-30T07:18:25Z","title":"AReaL: A Large-Scale Asynchronous Reinforcement Learning System for Language Reasoning","version":5},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-15T14:24:21.930934Z"},"links":{"cited_paper":"/paper/2502.01100","citing_paper":"/paper/2505.24298"},"observation_digest":"sha256:1d90e938b84515dd1fe83734a3b814ba77c46bf5efc199898f139aebcbcd3ab4","observation_id":"00c3bd1a-c9f2-4983-9911-f4b4947d08cd","resolution":{"observed_at":"2026-05-15T14:24:22.051843Z","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":"2502.01100","last_updated":"2025-07-15T01:14:25Z","snapshot_observed_at":"2026-07-06T20:30:02.903743Z","submitted_at":"2025-02-03T06:44:49Z","title":"ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning","version":2},"cited_work":{"arxiv_id":"2502.01100","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.01100","snapshot_observed_at":"2026-07-04T18:30:01.604649Z","title":"Zebralogic: On the scaling limits of llms for logical reasoning","venue":null,"work_id":"a87849c2-9339-401d-8ff9-7776817fe025","year":2025},"citing_paper":{"arxiv_id":"2506.13585","last_updated":"2025-06-16T15:08:02Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-06-16T15:08:02Z","title":"MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-12T09:28:16.189617Z"},"links":{"cited_paper":"/paper/2502.01100","citing_paper":"/paper/2506.13585"},"observation_digest":"sha256:e0e8d4534e7613f31555c287794ac3bfc03529d0f29d29c74518e76f04b3a704","observation_id":"16742d04-cdeb-40b6-a297-36ef8ac30758","resolution":{"observed_at":"2026-05-12T09:28:16.403060Z","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":"2502.01100","last_updated":"2025-07-15T01:14:25Z","snapshot_observed_at":"2026-07-06T20:30:02.903743Z","submitted_at":"2025-02-03T06:44:49Z","title":"ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning","version":2},"cited_work":{"arxiv_id":"2502.01100","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.01100","snapshot_observed_at":"2026-07-04T18:30:01.604649Z","title":"Zebralogic: On the scaling limits of llms for logical reasoning","venue":null,"work_id":"a87849c2-9339-401d-8ff9-7776817fe025","year":2025},"citing_paper":{"arxiv_id":"2507.20534","last_updated":"2026-02-03T04:57:00Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-07-28T05:35:43Z","title":"Kimi K2: Open Agentic Intelligence","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-05-10T17:49:27.926646Z"},"links":{"cited_paper":"/paper/2502.01100","citing_paper":"/paper/2507.20534"},"observation_digest":"sha256:71d5dbbae99a6026349f609703c38a23ece34075599eb7559f8a44d85d8d0216","observation_id":"b506f12c-77cb-4296-a311-36c8da7e5cfb","resolution":{"observed_at":"2026-05-10T17:49:28.172386Z","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":"2502.01100","last_updated":"2025-07-15T01:14:25Z","snapshot_observed_at":"2026-07-06T20:30:02.903743Z","submitted_at":"2025-02-03T06:44:49Z","title":"ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning","version":2},"cited_work":{"arxiv_id":"2502.01100","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.01100","snapshot_observed_at":"2026-07-04T18:30:01.604649Z","title":"Zebralogic: On the scaling limits of llms for logical reasoning","venue":null,"work_id":"a87849c2-9339-401d-8ff9-7776817fe025","year":2025},"citing_paper":{"arxiv_id":"2508.08636","last_updated":"2026-05-20T08:06:05Z","snapshot_observed_at":"2026-08-04T03:35:42.053775Z","submitted_at":"2025-08-12T05:00:00Z","title":"InternBootcamp Technical Report: Boosting LLM Reasoning with Verifiable Task Scaling","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-21T22:33:09.674822Z"},"links":{"cited_paper":"/paper/2502.01100","citing_paper":"/paper/2508.08636"},"observation_digest":"sha256:f87ee39ee42b7733fb122face33465bde762cceae80084ae545f22deb404667e","observation_id":"fe838800-329f-4278-95cf-3fcfd1e7784c","resolution":{"observed_at":"2026-05-21T22:34:23.971855Z","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":"2502.01100","last_updated":"2025-07-15T01:14:25Z","snapshot_observed_at":"2026-07-06T20:30:02.903743Z","submitted_at":"2025-02-03T06:44:49Z","title":"ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.01100","snapshot_observed_at":"2026-08-05T17:26:28.861283Z","title":"ZebraLogic : On the scaling limits of LLMs for logical reasoning","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":35,"source":"arxiv_source","source_observed_at":"2026-08-05T17:26:28.861283Z"},"links":{"cited_paper":"/paper/2502.01100","citing_paper":"/paper/2508.16279"},"observation_digest":"sha256:2bcf33bb6bf4b3c24a957dd2874ed6756cfae6abadcbdf0aa1cedf5550a815e5","observation_id":"7555d3b4-507f-4833-aa9b-f9b872122a48","resolution":{"observed_at":"2026-08-05T17:26:28.861283Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.01100","last_updated":"2025-07-15T01:14:25Z","snapshot_observed_at":"2026-07-06T20:30:02.903743Z","submitted_at":"2025-02-03T06:44:49Z","title":"ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning","version":2},"cited_work":{"arxiv_id":"2502.01100","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.01100","snapshot_observed_at":"2026-07-04T18:30:01.604649Z","title":"Zebralogic: On the scaling limits of llms for logical reasoning","venue":null,"work_id":"a87849c2-9339-401d-8ff9-7776817fe025","year":2025},"citing_paper":{"arxiv_id":"2508.19035","last_updated":"2026-05-06T13:45:16Z","snapshot_observed_at":"2026-08-02T18:03:42.477619Z","submitted_at":"2025-08-26T13:54:17Z","title":"Investigating Advanced Reasoning of Large Language Models via Black-Box Environment Interaction","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-18T21:35:59.043898Z"},"links":{"cited_paper":"/paper/2502.01100","citing_paper":"/paper/2508.19035"},"observation_digest":"sha256:15b546ac62a039bdbfd1692a7cbf211f8a094dac554c2bfc4d492cd5f6c920c3","observation_id":"f56fb2ca-c03e-4f25-9f31-00d769556327","resolution":{"observed_at":"2026-05-18T21:36:51.933331Z","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":"2502.01100","last_updated":"2025-07-15T01:14:25Z","snapshot_observed_at":"2026-07-06T20:30:02.903743Z","submitted_at":"2025-02-03T06:44:49Z","title":"ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.01100","snapshot_observed_at":"2026-08-05T11:47:20.035612Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.02225","last_updated":"2025-09-02T11:43:21Z","snapshot_observed_at":"2026-08-05T11:47:17.141267Z","submitted_at":"2025-09-02T11:43:21Z","title":"Towards Fundamental Language Models: Does Linguistic Competence Scale with Model Size?","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-05T11:47:20.035612Z"},"links":{"cited_paper":"/paper/2502.01100","citing_paper":"/paper/2509.02225"},"observation_digest":"sha256:942c32531ef37f84937db9826b714892a0fd004cede33660af384f9a51e0dfdb","observation_id":"45e2190a-1617-4608-9c38-ee4eadfe2afe","resolution":{"observed_at":"2026-08-05T11:47:20.035612Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.01100","last_updated":"2025-07-15T01:14:25Z","snapshot_observed_at":"2026-07-06T20:30:02.903743Z","submitted_at":"2025-02-03T06:44:49Z","title":"ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.01100","snapshot_observed_at":"2026-08-05T04:42:06.276239Z","title":"Zebralogic: On the scaling limits of llms for logical reasoning.arXiv preprint arXiv:2502.01100, 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":24,"source":"pdf_text","source_observed_at":"2026-08-05T04:42:06.276239Z"},"links":{"cited_paper":"/paper/2502.01100","citing_paper":"/paper/2509.06024"},"observation_digest":"sha256:9bc08619c8a88588131b13b2a170a68d634ebe854c2d30d436defc7c4f5aacf4","observation_id":"29969c6a-139c-4e09-a049-55ed9bb828c8","resolution":{"observed_at":"2026-08-05T04:42:06.276239Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.01100","last_updated":"2025-07-15T01:14:25Z","snapshot_observed_at":"2026-07-06T20:30:02.903743Z","submitted_at":"2025-02-03T06:44:49Z","title":"ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning","version":2},"cited_work":{"arxiv_id":"2502.01100","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.01100","snapshot_observed_at":"2026-07-04T18:30:01.604649Z","title":"Zebralogic: On the scaling limits of llms for logical reasoning","venue":null,"work_id":"a87849c2-9339-401d-8ff9-7776817fe025","year":2025},"citing_paper":{"arxiv_id":"2509.17765","last_updated":"2025-09-22T13:26:24Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-09-22T13:26:24Z","title":"Qwen3-Omni Technical Report","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-11T00:20:37.406351Z"},"links":{"cited_paper":"/paper/2502.01100","citing_paper":"/paper/2509.17765"},"observation_digest":"sha256:a119cba54ca1a23059d77d08a2183eaf0617ab18aa179275441cb94ad1bc2c16","observation_id":"cfdf86bc-2a68-4487-ac7f-fb7db5e14421","resolution":{"observed_at":"2026-05-11T00:20:37.831065Z","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":"2502.01100","last_updated":"2025-07-15T01:14:25Z","snapshot_observed_at":"2026-07-06T20:30:02.903743Z","submitted_at":"2025-02-03T06:44:49Z","title":"ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.01100","snapshot_observed_at":"2026-08-04T14:53:16.962827Z","title":"Zebralogic: On the scaling limits of llms for logical reasoning","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.22504","last_updated":"2026-05-28T15:39:50Z","snapshot_observed_at":"2026-08-04T14:52:54.512603Z","submitted_at":"2025-09-26T15:46:14Z","title":"Estimating the Empowerment of Language Model Agents","version":3},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-04T14:53:16.962827Z"},"links":{"cited_paper":"/paper/2502.01100","citing_paper":"/paper/2509.22504"},"observation_digest":"sha256:86fe7b986b09e7bd6ed57067f8756e82a9161b275cb6a1bc233b52e7bc8bc1a6","observation_id":"51e388bf-3621-4467-b3d9-70da87fa89b4","resolution":{"observed_at":"2026-08-04T14:53:16.962827Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.01100","last_updated":"2025-07-15T01:14:25Z","snapshot_observed_at":"2026-07-06T20:30:02.903743Z","submitted_at":"2025-02-03T06:44:49Z","title":"ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning","version":2},"cited_work":{"arxiv_id":"2502.01100","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.01100","snapshot_observed_at":"2026-07-04T18:30:01.604649Z","title":"Zebralogic: On the scaling limits of llms for logical reasoning","venue":null,"work_id":"a87849c2-9339-401d-8ff9-7776817fe025","year":2025},"citing_paper":{"arxiv_id":"2511.20347","last_updated":"2025-12-01T12:02:46Z","snapshot_observed_at":"2026-08-05T19:35:12.428969Z","submitted_at":"2025-11-25T14:25:19Z","title":"Soft Adaptive Policy Optimization","version":2},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-05-15T07:14:32.815641Z"},"links":{"cited_paper":"/paper/2502.01100","citing_paper":"/paper/2511.20347"},"observation_digest":"sha256:f2a941366c4c6e63947bf2f2f2ef6d460ad25d62fe6de396d09e983bf3a67b0a","observation_id":"46bed2ee-9e03-4c97-b0cb-b55b9dadf9c4","resolution":{"observed_at":"2026-05-15T07:14:32.869131Z","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":"2502.01100","last_updated":"2025-07-15T01:14:25Z","snapshot_observed_at":"2026-07-06T20:30:02.903743Z","submitted_at":"2025-02-03T06:44:49Z","title":"ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.01100","snapshot_observed_at":"2026-07-13T12:48:03.396039Z","title":"Zebralogic: On the scaling limits of llms for logical reasoning, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2604.03616","last_updated":"2026-04-04T07:16:28Z","snapshot_observed_at":"2026-08-02T14:37:17.014556Z","submitted_at":"2026-04-04T07:16:28Z","title":"The Format Tax","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-07-13T12:48:03.396039Z"},"links":{"cited_paper":"/paper/2502.01100","citing_paper":"/paper/2604.03616"},"observation_digest":"sha256:b8369b4c99d4aa2d2817030c205f0e0f1f8816d11fff1a647f5d56e1f1f8ee93","observation_id":"58b14f13-3769-46f3-977f-02472a26027e","resolution":{"observed_at":"2026-07-13T12:48:03.396039Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.01100","last_updated":"2025-07-15T01:14:25Z","snapshot_observed_at":"2026-07-06T20:30:02.903743Z","submitted_at":"2025-02-03T06:44:49Z","title":"ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning","version":2},"cited_work":{"arxiv_id":"2502.01100","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.01100","snapshot_observed_at":"2026-07-04T18:30:01.604649Z","title":"Zebralogic: On the scaling limits of llms for logical reasoning","venue":null,"work_id":"a87849c2-9339-401d-8ff9-7776817fe025","year":2025},"citing_paper":{"arxiv_id":"2604.08477","last_updated":"2026-06-04T07:25:57Z","snapshot_observed_at":"2026-07-12T23:51:05.788513Z","submitted_at":"2026-04-09T17:16:07Z","title":"SUPERNOVA: Eliciting General Reasoning in LLMs with Reinforcement Learning on Natural Instructions","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-10T17:16:29.695213Z"},"links":{"cited_paper":"/paper/2502.01100","citing_paper":"/paper/2604.08477"},"observation_digest":"sha256:9f911d567bbbb002f366142cc2f53c1ff91b1c230df555816a489279ca158d07","observation_id":"0fc03970-34a2-430d-9b45-e42b0253cc76","resolution":{"observed_at":"2026-05-11T07:11:01.555102Z","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":"2502.01100","last_updated":"2025-07-15T01:14:25Z","snapshot_observed_at":"2026-07-06T20:30:02.903743Z","submitted_at":"2025-02-03T06:44:49Z","title":"ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning","version":2},"cited_work":{"arxiv_id":"2502.01100","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.01100","snapshot_observed_at":"2026-07-04T18:30:01.604649Z","title":"Zebralogic: On the scaling limits of llms for logical reasoning","venue":null,"work_id":"a87849c2-9339-401d-8ff9-7776817fe025","year":2025},"citing_paper":{"arxiv_id":"2604.15602","last_updated":"2026-04-17T00:56:59Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-17T00:56:59Z","title":"GroupDPO: Memory efficient Group-wise Direct Preference Optimization","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-05-10T09:43:18.432084Z"},"links":{"cited_paper":"/paper/2502.01100","citing_paper":"/paper/2604.15602"},"observation_digest":"sha256:02d626d291a55e3faedb9238ebf208381b3da43b15dc562d68910cd58b9feb6d","observation_id":"b8d7f44a-eddc-4270-a920-d83b60b68027","resolution":{"observed_at":"2026-05-10T09:43:48.704714Z","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":"2502.01100","last_updated":"2025-07-15T01:14:25Z","snapshot_observed_at":"2026-07-06T20:30:02.903743Z","submitted_at":"2025-02-03T06:44:49Z","title":"ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning","version":2},"cited_work":{"arxiv_id":"2502.01100","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.01100","snapshot_observed_at":"2026-07-04T18:30:01.604649Z","title":"Zebralogic: On the scaling limits of llms for logical reasoning","venue":null,"work_id":"a87849c2-9339-401d-8ff9-7776817fe025","year":2025},"citing_paper":{"arxiv_id":"2604.18473","last_updated":"2026-04-20T16:24:41Z","snapshot_observed_at":"2026-07-06T23:05:21.974248Z","submitted_at":"2026-04-20T16:24:41Z","title":"Train Separately, Merge Together: Modular Post-Training with Mixture-of-Experts","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-05-10T05:52:28.822723Z"},"links":{"cited_paper":"/paper/2502.01100","citing_paper":"/paper/2604.18473"},"observation_digest":"sha256:284b77216e920ef4f3640bc6eb55ee44aac8233c6f383e23661415727c083805","observation_id":"2b5c0ec3-fe0c-4ae1-9d75-7af1606d9d56","resolution":{"observed_at":"2026-05-10T05:56:11.325941Z","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":"2502.01100","last_updated":"2025-07-15T01:14:25Z","snapshot_observed_at":"2026-07-06T20:30:02.903743Z","submitted_at":"2025-02-03T06:44:49Z","title":"ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning","version":2},"cited_work":{"arxiv_id":"2502.01100","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.01100","snapshot_observed_at":"2026-07-04T18:30:01.604649Z","title":"Zebralogic: On the scaling limits of llms for logical reasoning","venue":null,"work_id":"a87849c2-9339-401d-8ff9-7776817fe025","year":2025},"citing_paper":{"arxiv_id":"2604.20564","last_updated":"2026-04-22T13:45:27Z","snapshot_observed_at":"2026-07-06T23:07:03.254122Z","submitted_at":"2026-04-22T13:45:27Z","title":"Where Reasoning Breaks: Logic-Aware Path Selection by Controlling Logical Connectives in LLMs Reasoning Chains","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-10T00:12:16.581972Z"},"links":{"cited_paper":"/paper/2502.01100","citing_paper":"/paper/2604.20564"},"observation_digest":"sha256:4b3f2d34a042fbb1353f2e95b2303e15ffedb349ff155a5daf10b74f4ab5c0a9","observation_id":"9998c1be-9a72-4b5b-8b7e-e07ae61b078e","resolution":{"observed_at":"2026-05-10T00:14:46.684750Z","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":"2502.01100","last_updated":"2025-07-15T01:14:25Z","snapshot_observed_at":"2026-07-06T20:30:02.903743Z","submitted_at":"2025-02-03T06:44:49Z","title":"ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning","version":2},"cited_work":{"arxiv_id":"2502.01100","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.01100","snapshot_observed_at":"2026-07-04T18:30:01.604649Z","title":"Zebralogic: On the scaling limits of llms for logical reasoning","venue":null,"work_id":"a87849c2-9339-401d-8ff9-7776817fe025","year":2025},"citing_paper":{"arxiv_id":"2605.05741","last_updated":"2026-05-07T06:32:57Z","snapshot_observed_at":"2026-07-06T23:18:17.333660Z","submitted_at":"2026-05-07T06:32:57Z","title":"HyperLens: Quantifying Cognitive Effort in LLMs with Fine-grained Confidence Trajectory","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-05-08T11:38:49.630171Z"},"links":{"cited_paper":"/paper/2502.01100","citing_paper":"/paper/2605.05741"},"observation_digest":"sha256:7c3df171ffe149ad0d6c9c9e2c6e8d5587410fb229673fefc2cc54125e6e8141","observation_id":"9940588e-535f-4cc8-8aa6-316859953f91","resolution":{"observed_at":"2026-05-11T19:36:09.666429Z","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":"2502.01100","last_updated":"2025-07-15T01:14:25Z","snapshot_observed_at":"2026-07-06T20:30:02.903743Z","submitted_at":"2025-02-03T06:44:49Z","title":"ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning","version":2},"cited_work":{"arxiv_id":"2502.01100","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.01100","snapshot_observed_at":"2026-07-04T18:30:01.604649Z","title":"Zebralogic: On the scaling limits of llms for logical reasoning","venue":null,"work_id":"a87849c2-9339-401d-8ff9-7776817fe025","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":80,"source":"pdf_text","source_observed_at":"2026-05-11T03:40:04.692279Z"},"links":{"cited_paper":"/paper/2502.01100","citing_paper":"/paper/2605.07731"},"observation_digest":"sha256:5a621e7053a9ec0a3e87f838ed8a0f0c621f2cc115cf0d32a61c06916d920c86","observation_id":"1dd36255-27a4-4f64-8660-3cedf79632f6","resolution":{"observed_at":"2026-05-11T03:40:53.495548Z","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":"2502.01100","last_updated":"2025-07-15T01:14:25Z","snapshot_observed_at":"2026-07-06T20:30:02.903743Z","submitted_at":"2025-02-03T06:44:49Z","title":"ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning","version":2},"cited_work":{"arxiv_id":"2502.01100","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.01100","snapshot_observed_at":"2026-07-04T18:30:01.604649Z","title":"Zebralogic: On the scaling limits of llms for logical reasoning","venue":null,"work_id":"a87849c2-9339-401d-8ff9-7776817fe025","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":80,"source":"pdf_text","source_observed_at":"2026-05-21T08:14:55.858466Z"},"links":{"cited_paper":"/paper/2502.01100","citing_paper":"/paper/2605.07731"},"observation_digest":"sha256:97bb60c7941152338528cee67975ad3c2c5acf6c57abf2f0e9c05b76b9b1a50f","observation_id":"6e7477b4-022d-4733-a25e-290750169ede","resolution":{"observed_at":"2026-05-21T08:19:52.885776Z","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":"2502.01100","last_updated":"2025-07-15T01:14:25Z","snapshot_observed_at":"2026-07-06T20:30:02.903743Z","submitted_at":"2025-02-03T06:44:49Z","title":"ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning","version":2},"cited_work":{"arxiv_id":"2502.01100","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.01100","snapshot_observed_at":"2026-07-04T18:30:01.604649Z","title":"Zebralogic: On the scaling limits of llms for logical reasoning","venue":null,"work_id":"a87849c2-9339-401d-8ff9-7776817fe025","year":2025},"citing_paper":{"arxiv_id":"2605.08498","last_updated":"2026-05-08T21:28:02Z","snapshot_observed_at":"2026-08-02T11:28:37.955620Z","submitted_at":"2026-05-08T21:28:02Z","title":"MathConstraint: Automated Generation of Verified Combinatorial Reasoning Instances for LLMs","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-05-12T02:01:04.619417Z"},"links":{"cited_paper":"/paper/2502.01100","citing_paper":"/paper/2605.08498"},"observation_digest":"sha256:bf557ea720d8c358a68f3fc15037440bc3f1a0a18c9621de479c0f98c7dfd6e9","observation_id":"85ba0fa4-21de-4f20-9e04-e10063649e24","resolution":{"observed_at":"2026-05-12T02:01:14.991074Z","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":"2502.01100","last_updated":"2025-07-15T01:14:25Z","snapshot_observed_at":"2026-07-06T20:30:02.903743Z","submitted_at":"2025-02-03T06:44:49Z","title":"ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning","version":2},"cited_work":{"arxiv_id":"2502.01100","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.01100","snapshot_observed_at":"2026-07-04T18:30:01.604649Z","title":"Zebralogic: On the scaling limits of llms for logical reasoning","venue":null,"work_id":"a87849c2-9339-401d-8ff9-7776817fe025","year":2025},"citing_paper":{"arxiv_id":"2605.08905","last_updated":"2026-05-09T11:57:25Z","snapshot_observed_at":"2026-07-06T23:21:06.773761Z","submitted_at":"2026-05-09T11:57:25Z","title":"Forge: Quality-Aware Reinforcement Learning for NP-Hard Optimization in LLMs","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-05-12T02:44:33.143247Z"},"links":{"cited_paper":"/paper/2502.01100","citing_paper":"/paper/2605.08905"},"observation_digest":"sha256:51e0e7e870ef29e27274ecb0f9ba5b513e7e0b045cfbd65318911f1e15527d34","observation_id":"bd0c5757-878d-44da-a928-3fe485e5b560","resolution":{"observed_at":"2026-05-12T02:46:18.842827Z","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":"2502.01100","last_updated":"2025-07-15T01:14:25Z","snapshot_observed_at":"2026-07-06T20:30:02.903743Z","submitted_at":"2025-02-03T06:44:49Z","title":"ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning","version":2},"cited_work":{"arxiv_id":"2502.01100","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.01100","snapshot_observed_at":"2026-07-04T18:30:01.604649Z","title":"Zebralogic: On the scaling limits of llms for logical reasoning","venue":null,"work_id":"a87849c2-9339-401d-8ff9-7776817fe025","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":22,"source":"arxiv_source","source_observed_at":"2026-05-19T18:01:06.649723Z"},"links":{"cited_paper":"/paper/2502.01100","citing_paper":"/paper/2605.15207"},"observation_digest":"sha256:df9caa62d104a6b5fbbb5dc629398c1f55a03ceca28bb823fe57eb9bd2746bbc","observation_id":"87d85edb-bfbe-4555-92ae-924f7189c71d","resolution":{"observed_at":"2026-05-19T18:02:42.348193Z","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":"2502.01100","last_updated":"2025-07-15T01:14:25Z","snapshot_observed_at":"2026-07-06T20:30:02.903743Z","submitted_at":"2025-02-03T06:44:49Z","title":"ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning","version":2},"cited_work":{"arxiv_id":"2502.01100","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.01100","snapshot_observed_at":"2026-07-04T18:30:01.604649Z","title":"Zebralogic: On the scaling limits of llms for logical reasoning","venue":null,"work_id":"a87849c2-9339-401d-8ff9-7776817fe025","year":2025},"citing_paper":{"arxiv_id":"2605.19597","last_updated":"2026-05-19T09:40:29Z","snapshot_observed_at":"2026-08-04T09:41:10.823605Z","submitted_at":"2026-05-19T09:40:29Z","title":"LLMEval-Logic: A Solver-Verified Chinese Benchmark for Logical Reasoning of LLMs with Adversarial Hardening","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-05-20T05:47:55.637898Z"},"links":{"cited_paper":"/paper/2502.01100","citing_paper":"/paper/2605.19597"},"observation_digest":"sha256:aad34b9261fec8fbc65dd28b6020b5c32f876431244238e6c451dfb844265cd8","observation_id":"e38bfd7f-9f8e-460c-a5a2-f59fc1bf8212","resolution":{"observed_at":"2026-05-20T05:48:04.283244Z","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":"2502.01100","last_updated":"2025-07-15T01:14:25Z","snapshot_observed_at":"2026-07-06T20:30:02.903743Z","submitted_at":"2025-02-03T06:44:49Z","title":"ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning","version":2},"cited_work":{"arxiv_id":"2502.01100","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.01100","snapshot_observed_at":"2026-07-04T18:30:01.604649Z","title":"Zebralogic: On the scaling limits of llms for logical reasoning","venue":null,"work_id":"a87849c2-9339-401d-8ff9-7776817fe025","year":2025},"citing_paper":{"arxiv_id":"2605.28742","last_updated":"2026-06-05T17:02:41Z","snapshot_observed_at":"2026-07-06T23:38:19.096349Z","submitted_at":"2026-05-27T17:01:50Z","title":"CORE: Contrastive Reflection Enables Rapid Improvements in Reasoning","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-06-29T11:48:18.855264Z"},"links":{"cited_paper":"/paper/2502.01100","citing_paper":"/paper/2605.28742"},"observation_digest":"sha256:719877ede02900505f9e489612a9dc518676ec91bf312bf15ba48770e6324956","observation_id":"ed522808-29fc-4509-9c87-1ce094e1c85b","resolution":{"observed_at":"2026-06-29T11:53:23.843244Z","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":"2502.01100","last_updated":"2025-07-15T01:14:25Z","snapshot_observed_at":"2026-07-06T20:30:02.903743Z","submitted_at":"2025-02-03T06:44:49Z","title":"ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning","version":2},"cited_work":{"arxiv_id":"2502.01100","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.01100","snapshot_observed_at":"2026-07-04T18:30:01.604649Z","title":"Zebralogic: On the scaling limits of llms for logical reasoning","venue":null,"work_id":"a87849c2-9339-401d-8ff9-7776817fe025","year":2025},"citing_paper":{"arxiv_id":"2606.01182","last_updated":"2026-05-31T11:46:43Z","snapshot_observed_at":"2026-07-06T23:41:48.357871Z","submitted_at":"2026-05-31T11:46:43Z","title":"CA-BED: Conversation-Aware Bayesian Experimental Design","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-06-28T17:03:01.806138Z"},"links":{"cited_paper":"/paper/2502.01100","citing_paper":"/paper/2606.01182"},"observation_digest":"sha256:e5e300e2c7bf5604a74087f8bc0147b365b9b632526f868a20e5eabb57f1b001","observation_id":"df6a1f46-96f6-4128-9a52-1a7f4c46de57","resolution":{"observed_at":"2026-07-01T21:26:14.632534Z","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":"2502.01100","last_updated":"2025-07-15T01:14:25Z","snapshot_observed_at":"2026-07-06T20:30:02.903743Z","submitted_at":"2025-02-03T06:44:49Z","title":"ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning","version":2},"cited_work":{"arxiv_id":"2502.01100","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.01100","snapshot_observed_at":"2026-07-04T18:30:01.604649Z","title":"Zebralogic: On the scaling limits of llms for logical reasoning","venue":null,"work_id":"a87849c2-9339-401d-8ff9-7776817fe025","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":6,"source":"arxiv_source","source_observed_at":"2026-06-27T19:58:32.016341Z"},"links":{"cited_paper":"/paper/2502.01100","citing_paper":"/paper/2606.08068"},"observation_digest":"sha256:10ab8a3246941892305988ecd15b99f8bcd87a080a2667560e83b4875f8a5617","observation_id":"07e1fba3-c6e4-437e-9904-31111a72d9dd","resolution":{"observed_at":"2026-07-02T20:57:23.872587Z","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":"2502.01100","last_updated":"2025-07-15T01:14:25Z","snapshot_observed_at":"2026-07-06T20:30:02.903743Z","submitted_at":"2025-02-03T06:44:49Z","title":"ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning","version":2},"cited_work":{"arxiv_id":"2502.01100","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.01100","snapshot_observed_at":"2026-07-04T18:30:01.604649Z","title":"Zebralogic: On the scaling limits of llms for logical reasoning","venue":null,"work_id":"a87849c2-9339-401d-8ff9-7776817fe025","year":2025},"citing_paper":{"arxiv_id":"2606.10722","last_updated":"2026-06-09T11:32:58Z","snapshot_observed_at":"2026-08-02T17:15:22.019545Z","submitted_at":"2026-06-09T11:32:58Z","title":"Continual LLM Upcycling: A Predictor-Gated Bank-Wise Sparsity Training Recipe for Dense-to-Sparse LLMs","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-06-27T13:04:05.807414Z"},"links":{"cited_paper":"/paper/2502.01100","citing_paper":"/paper/2606.10722"},"observation_digest":"sha256:90e9348e0166e6a0175015cc23ec378b3c5ec3d54997ca92b943043c288d8030","observation_id":"809e8657-9acb-4e1d-91a6-116639170ca7","resolution":{"observed_at":"2026-07-03T05:47:41.893244Z","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":"2502.01100","last_updated":"2025-07-15T01:14:25Z","snapshot_observed_at":"2026-07-06T20:30:02.903743Z","submitted_at":"2025-02-03T06:44:49Z","title":"ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning","version":2},"cited_work":{"arxiv_id":"2502.01100","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.01100","snapshot_observed_at":"2026-07-04T18:30:01.604649Z","title":"Zebralogic: On the scaling limits of llms for logical reasoning","venue":null,"work_id":"a87849c2-9339-401d-8ff9-7776817fe025","year":2025},"citing_paper":{"arxiv_id":"2606.11470","last_updated":"2026-06-09T21:59:37Z","snapshot_observed_at":"2026-07-06T23:50:35.052764Z","submitted_at":"2026-06-09T21:59:37Z","title":"The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes","version":1},"reference_index":146,"source":"arxiv_source","source_observed_at":"2026-06-27T12:59:51.091008Z"},"links":{"cited_paper":"/paper/2502.01100","citing_paper":"/paper/2606.11470"},"observation_digest":"sha256:f0a64edc8c207857a477939d50d9026531028db455836a2e8ea91934e0c1f53a","observation_id":"7a99b32d-c596-40ef-ba5d-da3d86673af3","resolution":{"observed_at":"2026-07-03T05:57:41.647677Z","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":"2502.01100","last_updated":"2025-07-15T01:14:25Z","snapshot_observed_at":"2026-07-06T20:30:02.903743Z","submitted_at":"2025-02-03T06:44:49Z","title":"ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning","version":2},"cited_work":{"arxiv_id":"2502.01100","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.01100","snapshot_observed_at":"2026-07-04T18:30:01.604649Z","title":"Zebralogic: On the scaling limits of llms for logical reasoning","venue":null,"work_id":"a87849c2-9339-401d-8ff9-7776817fe025","year":2025},"citing_paper":{"arxiv_id":"2606.25178","last_updated":"2026-06-27T02:34:55Z","snapshot_observed_at":"2026-07-30T22:09:19.101343Z","submitted_at":"2026-06-23T21:10:29Z","title":"Transferability for General Reasoning: An Automated Curriculum for Multi-Domain RLVR","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-06-25T22:47:09.330723Z"},"links":{"cited_paper":"/paper/2502.01100","citing_paper":"/paper/2606.25178"},"observation_digest":"sha256:7a19eef369fa9311a587adad483350bbf89a50bbf90b2b6e85e6a28d557ce940","observation_id":"ea370ea5-625a-484e-84c7-1235846176af","resolution":{"observed_at":"2026-07-04T18:30:01.606119Z","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":"2502.01100","last_updated":"2025-07-15T01:14:25Z","snapshot_observed_at":"2026-07-06T20:30:02.903743Z","submitted_at":"2025-02-03T06:44:49Z","title":"ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning","version":2},"cited_work":{"arxiv_id":"2502.01100","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.01100","snapshot_observed_at":"2026-07-04T18:30:01.604649Z","title":"Zebralogic: On the scaling limits of llms for logical reasoning","venue":null,"work_id":"a87849c2-9339-401d-8ff9-7776817fe025","year":2025},"citing_paper":{"arxiv_id":"2606.25178","last_updated":"2026-06-27T02:34:55Z","snapshot_observed_at":"2026-07-30T22:09:19.101343Z","submitted_at":"2026-06-23T21:10:29Z","title":"Transferability for General Reasoning: An Automated Curriculum for Multi-Domain RLVR","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-06-30T09:55:19.804589Z"},"links":{"cited_paper":"/paper/2502.01100","citing_paper":"/paper/2606.25178"},"observation_digest":"sha256:349b5bcfc66991e1508204adce309f5e814879b7277da1739c210502b68b128b","observation_id":"2da49ecf-37a6-460f-bca8-045dc6a0868f","resolution":{"observed_at":"2026-06-30T12:54:40.466364Z","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":"2502.01100","last_updated":"2025-07-15T01:14:25Z","snapshot_observed_at":"2026-07-06T20:30:02.903743Z","submitted_at":"2025-02-03T06:44:49Z","title":"ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning","version":2},"cited_work":{"arxiv_id":"2502.01100","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.01100","snapshot_observed_at":"2026-07-04T18:30:01.604649Z","title":"Zebralogic: On the scaling limits of llms for logical reasoning","venue":null,"work_id":"a87849c2-9339-401d-8ff9-7776817fe025","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":15,"source":"pdf_text","source_observed_at":"2026-06-26T05:00:23.510590Z"},"links":{"cited_paper":"/paper/2502.01100","citing_paper":"/paper/2606.26671"},"observation_digest":"sha256:31be5426c583459fe0a717563f90893c85221e4d1f618879d04d7740a50b00c8","observation_id":"15d5d1b2-0339-4a4e-b693-2e59d32cd680","resolution":{"observed_at":"2026-07-04T13:39:51.132305Z","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":"2502.01100","last_updated":"2025-07-15T01:14:25Z","snapshot_observed_at":"2026-07-06T20:30:02.903743Z","submitted_at":"2025-02-03T06:44:49Z","title":"ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning","version":2},"cited_work":{"arxiv_id":"2502.01100","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.01100","snapshot_observed_at":"2026-07-04T18:30:01.604649Z","title":"Zebralogic: On the scaling limits of llms for logical reasoning","venue":null,"work_id":"a87849c2-9339-401d-8ff9-7776817fe025","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":27,"source":"pdf_text","source_observed_at":"2026-06-30T05:51:18.037199Z"},"links":{"cited_paper":"/paper/2502.01100","citing_paper":"/paper/2606.30626"},"observation_digest":"sha256:b9d1cf20b7ecea8726ec5dd224c441e52d8b5a871c6dcc43d843167b58a20391","observation_id":"54c656c9-f609-458d-9dc2-5c95f6ba1637","resolution":{"observed_at":"2026-06-30T05:54:18.636426Z","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/2502.01100/citation-record","integrity":"/paper/2502.01100/integrity","json":"/paper/2502.01100/citation-record.json","paper":"/paper/2502.01100"},"outbound":[],"paper":{"arxiv_id":"2502.01100","last_updated":"2025-07-15T01:14:25Z","latest_version":2,"primary_category":"cs.AI","snapshot_observed_at":"2026-07-06T20:30:02.903743Z","submitted_at":"2025-02-03T06:44:49Z","title":"ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning"},"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 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 33 inbound Pith citation observations for arXiv:2502.01100."}