{"as_of":"2026-08-04T09:10:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:723b6d216b21de43c2303dd693f4f522ce67767d70f054f5e31ee34246d27dc2","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":20,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":20,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-04T06:34:03.388597+00:00","state":"measured"},{"denominator":20,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":20,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-03T03:25:21.840888Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-07-10T19:57:34.122508Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.22375","last_updated":"2025-05-29T01:59:00Z","snapshot_observed_at":"2026-08-02T18:20:00.749960Z","submitted_at":"2025-05-28T14:03:02Z","title":"Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition","version":2},"cited_work":{"arxiv_id":"2505.22375","doi":"10.48550/arxiv.2505.22375","metadata_source":"pith","pith_arxiv_id":"2505.22375","snapshot_observed_at":"2026-07-10T19:57:34.122508Z","title":"Pangu embedded: An efficient dual-system llm reasoner with metacognition","venue":"cs.CL","work_id":"48eb26ab-dce4-4bb6-9a0c-2376e9449315","year":2025},"citing_paper":{"arxiv_id":"2601.17261","last_updated":"2026-05-22T07:39:05Z","snapshot_observed_at":"2026-08-02T11:10:26.023296Z","submitted_at":"2026-01-24T02:28:15Z","title":"AGZO: Activation-Guided Zeroth-Order Optimization for LLM Fine-Tuning","version":4},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-25T07:32:11.750655Z"},"links":{"cited_paper":"/paper/2505.22375","citing_paper":"/paper/2601.17261"},"observation_digest":"sha256:0b8471ae06fbb0a1c21412eea4e1002e4a5d32be96a1a67d48a80fbbea35ac26","observation_id":"9102b078-e4f6-4a2c-8b02-318be14a04c4","resolution":{"observed_at":"2026-05-25T07:35:28.899709Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.22375","last_updated":"2025-05-29T01:59:00Z","snapshot_observed_at":"2026-08-02T18:20:00.749960Z","submitted_at":"2025-05-28T14:03:02Z","title":"Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition","version":2},"cited_work":{"arxiv_id":"2505.22375","doi":"10.48550/arxiv.2505.22375","metadata_source":"pith","pith_arxiv_id":"2505.22375","snapshot_observed_at":"2026-07-10T19:57:34.122508Z","title":"Pangu embedded: An efficient dual-system llm reasoner with metacognition","venue":"cs.CL","work_id":"48eb26ab-dce4-4bb6-9a0c-2376e9449315","year":2025},"citing_paper":{"arxiv_id":"2602.08324","last_updated":"2026-05-25T15:41:17Z","snapshot_observed_at":"2026-08-03T03:25:21.079471Z","submitted_at":"2026-02-09T06:57:15Z","title":"Towards Efficient Large Language Reasoning Models via Extreme-Ratio Chain-of-Thought Compression","version":3},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-21T13:43:51.127429Z"},"links":{"cited_paper":"/paper/2505.22375","citing_paper":"/paper/2602.08324"},"observation_digest":"sha256:4afc2efe3418f5f2f633df143a3bea630b68b4c85f761a87bd1636a79da84875","observation_id":"7144ebbf-21f4-429f-8b29-147911c7247b","resolution":{"observed_at":"2026-05-21T13:44:11.369936Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.22375","last_updated":"2025-05-29T01:59:00Z","snapshot_observed_at":"2026-08-02T18:20:00.749960Z","submitted_at":"2025-05-28T14:03:02Z","title":"Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.22375","snapshot_observed_at":"2026-08-03T03:25:21.840888Z","title":"Pangu embedded: An efficient dual-system llm reasoner with metacognition","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2602.08324","last_updated":"2026-05-25T15:41:17Z","snapshot_observed_at":"2026-08-03T03:25:21.079471Z","submitted_at":"2026-02-09T06:57:15Z","title":"Towards Efficient Large Language Reasoning Models via Extreme-Ratio Chain-of-Thought Compression","version":4},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-03T03:25:21.840888Z"},"links":{"cited_paper":"/paper/2505.22375","citing_paper":"/paper/2602.08324"},"observation_digest":"sha256:caf376de9dc8dfe195594170d602e188c324e3feade7c1491beb5e960c8f39cc","observation_id":"6c8be02d-a32e-4279-95f1-5b3314e97aa2","resolution":{"observed_at":"2026-08-03T03:25:21.840888Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.22375","last_updated":"2025-05-29T01:59:00Z","snapshot_observed_at":"2026-08-02T18:20:00.749960Z","submitted_at":"2025-05-28T14:03:02Z","title":"Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition","version":2},"cited_work":{"arxiv_id":"2505.22375","doi":"10.48550/arxiv.2505.22375","metadata_source":"pith","pith_arxiv_id":"2505.22375","snapshot_observed_at":"2026-07-10T19:57:34.122508Z","title":"Pangu embedded: An efficient dual-system llm reasoner with metacognition","venue":"cs.CL","work_id":"48eb26ab-dce4-4bb6-9a0c-2376e9449315","year":2025},"citing_paper":{"arxiv_id":"2604.02702","last_updated":"2026-04-03T03:52:46Z","snapshot_observed_at":"2026-07-06T22:52:02.162758Z","submitted_at":"2026-04-03T03:52:46Z","title":"TypePro: Boosting LLM-Based Type Inference via Inter-Procedural Slicing","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-13T20:30:38.904164Z"},"links":{"cited_paper":"/paper/2505.22375","citing_paper":"/paper/2604.02702"},"observation_digest":"sha256:eeba8703bb4ed7f71aeb84a04e67cbf6f990e9a9ca0f8ca062f42a4903b0128a","observation_id":"d38136b5-81ba-42ad-9fe2-77d3e3d5247d","resolution":{"observed_at":"2026-05-13T20:33:16.483666Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.22375","last_updated":"2025-05-29T01:59:00Z","snapshot_observed_at":"2026-08-02T18:20:00.749960Z","submitted_at":"2025-05-28T14:03:02Z","title":"Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition","version":2},"cited_work":{"arxiv_id":"2505.22375","doi":"10.48550/arxiv.2505.22375","metadata_source":"pith","pith_arxiv_id":"2505.22375","snapshot_observed_at":"2026-07-10T19:57:34.122508Z","title":"Pangu embedded: An efficient dual-system llm reasoner with metacognition","venue":"cs.CL","work_id":"48eb26ab-dce4-4bb6-9a0c-2376e9449315","year":2025},"citing_paper":{"arxiv_id":"2604.09752","last_updated":"2026-04-15T03:55:23Z","snapshot_observed_at":"2026-08-02T22:20:28.402927Z","submitted_at":"2026-04-10T14:34:05Z","title":"A-IO: Adaptive Inference Orchestration for Memory-Bound NPUs","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-10T17:42:37.906816Z"},"links":{"cited_paper":"/paper/2505.22375","citing_paper":"/paper/2604.09752"},"observation_digest":"sha256:81f713724782d4a7fd170fa41a8a64f2e475e5a3918bffea04d2c7a2659f6034","observation_id":"2b795a87-fb6a-46f9-bf44-47b3f979804a","resolution":{"observed_at":"2026-05-11T06:15:58.619850Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.22375","last_updated":"2025-05-29T01:59:00Z","snapshot_observed_at":"2026-08-02T18:20:00.749960Z","submitted_at":"2025-05-28T14:03:02Z","title":"Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.22375","snapshot_observed_at":"2026-07-12T23:16:43.920480Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2604.09753","last_updated":"2026-06-24T15:45:36Z","snapshot_observed_at":"2026-07-12T23:16:43.668937Z","submitted_at":"2026-04-10T15:15:29Z","title":"Universal Inclusion of Prescribed Primes in 3x3 Magic Squares","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-12T23:16:43.920480Z"},"links":{"cited_paper":"/paper/2505.22375","citing_paper":"/paper/2604.09753"},"observation_digest":"sha256:b2410eaa9572645f246524372804cbf81a556fe959113920c2e5a595e3271209","observation_id":"f96131e7-40c6-409e-a4a9-6eea8519de71","resolution":{"observed_at":"2026-07-12T23:16:43.920480Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.22375","last_updated":"2025-05-29T01:59:00Z","snapshot_observed_at":"2026-08-02T18:20:00.749960Z","submitted_at":"2025-05-28T14:03:02Z","title":"Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition","version":2},"cited_work":{"arxiv_id":"2505.22375","doi":"10.48550/arxiv.2505.22375","metadata_source":"pith","pith_arxiv_id":"2505.22375","snapshot_observed_at":"2026-07-10T19:57:34.122508Z","title":"Pangu embedded: An efficient dual-system llm reasoner with metacognition","venue":"cs.CL","work_id":"48eb26ab-dce4-4bb6-9a0c-2376e9449315","year":2025},"citing_paper":{"arxiv_id":"2604.14828","last_updated":"2026-04-16T10:02:48Z","snapshot_observed_at":"2026-08-02T13:19:23.650228Z","submitted_at":"2026-04-16T10:02:48Z","title":"Pangu-ACE: Adaptive Cascaded Experts for Educational Response Generation on EduBench","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-10T11:28:26.391929Z"},"links":{"cited_paper":"/paper/2505.22375","citing_paper":"/paper/2604.14828"},"observation_digest":"sha256:e3622eb5df15b880310f19455bf0ee797a52beb6f7344f8fa611dd4375b6ca0c","observation_id":"7c68e3af-341b-43fe-b212-6ac326243565","resolution":{"observed_at":"2026-05-10T11:30:18.533988Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.22375","last_updated":"2025-05-29T01:59:00Z","snapshot_observed_at":"2026-08-02T18:20:00.749960Z","submitted_at":"2025-05-28T14:03:02Z","title":"Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition","version":2},"cited_work":{"arxiv_id":"2505.22375","doi":"10.48550/arxiv.2505.22375","metadata_source":"pith","pith_arxiv_id":"2505.22375","snapshot_observed_at":"2026-07-10T19:57:34.122508Z","title":"Pangu embedded: An efficient dual-system llm reasoner with metacognition","venue":"cs.CL","work_id":"48eb26ab-dce4-4bb6-9a0c-2376e9449315","year":2025},"citing_paper":{"arxiv_id":"2605.03644","last_updated":"2026-06-02T12:20:10Z","snapshot_observed_at":"2026-07-30T14:23:28.861128Z","submitted_at":"2026-05-05T11:16:52Z","title":"AdapShot: Adaptive Many-Shot In-Context Learning with Semantic-Aware KV Cache Reuse","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-05-07T16:39:47.998726Z"},"links":{"cited_paper":"/paper/2505.22375","citing_paper":"/paper/2605.03644"},"observation_digest":"sha256:d345df2db14c75d021c3987cfc37ab445251b51ac3596e4def2eba171bc4c5a0","observation_id":"5ae76c0a-6d45-4569-9a9f-adbb0f72b6c9","resolution":{"observed_at":"2026-05-11T23:36:30.836374Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.22375","last_updated":"2025-05-29T01:59:00Z","snapshot_observed_at":"2026-08-02T18:20:00.749960Z","submitted_at":"2025-05-28T14:03:02Z","title":"Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition","version":2},"cited_work":{"arxiv_id":"2505.22375","doi":"10.48550/arxiv.2505.22375","metadata_source":"pith","pith_arxiv_id":"2505.22375","snapshot_observed_at":"2026-07-10T19:57:34.122508Z","title":"Pangu embedded: An efficient dual-system llm reasoner with metacognition","venue":"cs.CL","work_id":"48eb26ab-dce4-4bb6-9a0c-2376e9449315","year":2025},"citing_paper":{"arxiv_id":"2605.05940","last_updated":"2026-05-07T09:50:53Z","snapshot_observed_at":"2026-08-03T03:51:16.123756Z","submitted_at":"2026-05-07T09:50:53Z","title":"Near-Policy: Accelerating On-Policy Distillation via Asynchronous Generation and Selective Packing","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-08T14:20:37.141500Z"},"links":{"cited_paper":"/paper/2505.22375","citing_paper":"/paper/2605.05940"},"observation_digest":"sha256:057e18199e13bbd88a57928ef89b1f4959365b65660d63b957567d365b048906","observation_id":"ebfcfb0c-5db4-4edf-b438-34c95145772f","resolution":{"observed_at":"2026-05-11T18:41:11.234190Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.22375","last_updated":"2025-05-29T01:59:00Z","snapshot_observed_at":"2026-08-02T18:20:00.749960Z","submitted_at":"2025-05-28T14:03:02Z","title":"Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition","version":2},"cited_work":{"arxiv_id":"2505.22375","doi":"10.48550/arxiv.2505.22375","metadata_source":"pith","pith_arxiv_id":"2505.22375","snapshot_observed_at":"2026-07-10T19:57:34.122508Z","title":"Pangu embedded: An efficient dual-system llm reasoner with metacognition","venue":"cs.CL","work_id":"48eb26ab-dce4-4bb6-9a0c-2376e9449315","year":2025},"citing_paper":{"arxiv_id":"2605.20950","last_updated":"2026-05-20T09:37:53Z","snapshot_observed_at":"2026-07-06T23:31:27.989406Z","submitted_at":"2026-05-20T09:37:53Z","title":"Focus-then-Context: Subject-Centric Progressive Visual Token Reduction for Vision-Language Models","version":1},"reference_index":65,"source":"arxiv_source","source_observed_at":"2026-05-21T05:20:55.448430Z"},"links":{"cited_paper":"/paper/2505.22375","citing_paper":"/paper/2605.20950"},"observation_digest":"sha256:d05de185fee9afe08b74490d4841d18ece15988108f3075d5996054c7cacfe3d","observation_id":"995282d1-5138-436a-831f-d8e527dcd738","resolution":{"observed_at":"2026-05-21T05:23:58.541199Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.22375","last_updated":"2025-05-29T01:59:00Z","snapshot_observed_at":"2026-08-02T18:20:00.749960Z","submitted_at":"2025-05-28T14:03:02Z","title":"Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition","version":2},"cited_work":{"arxiv_id":"2505.22375","doi":"10.48550/arxiv.2505.22375","metadata_source":"pith","pith_arxiv_id":"2505.22375","snapshot_observed_at":"2026-07-10T19:57:34.122508Z","title":"Pangu embedded: An efficient dual-system llm reasoner with metacognition","venue":"cs.CL","work_id":"48eb26ab-dce4-4bb6-9a0c-2376e9449315","year":2025},"citing_paper":{"arxiv_id":"2605.22104","last_updated":"2026-05-21T07:40:25Z","snapshot_observed_at":"2026-08-02T08:02:40.432734Z","submitted_at":"2026-05-21T07:40:25Z","title":"OPERA: An Agent for Image Restoration with End-to-End Joint Planning-Execution Optimization","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-22T07:19:57.063802Z"},"links":{"cited_paper":"/paper/2505.22375","citing_paper":"/paper/2605.22104"},"observation_digest":"sha256:1c5cb79fd1f215da00c8289750f4c735dd683176ced04d4a1df95d02b0c59313","observation_id":"d659329b-dc4c-4171-b275-5354b8bdf368","resolution":{"observed_at":"2026-05-22T07:21:12.722277Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.22375","last_updated":"2025-05-29T01:59:00Z","snapshot_observed_at":"2026-08-02T18:20:00.749960Z","submitted_at":"2025-05-28T14:03:02Z","title":"Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition","version":2},"cited_work":{"arxiv_id":"2505.22375","doi":"10.48550/arxiv.2505.22375","metadata_source":"pith","pith_arxiv_id":"2505.22375","snapshot_observed_at":"2026-07-10T19:57:34.122508Z","title":"Pangu embedded: An efficient dual-system llm reasoner with metacognition","venue":"cs.CL","work_id":"48eb26ab-dce4-4bb6-9a0c-2376e9449315","year":2025},"citing_paper":{"arxiv_id":"2605.26784","last_updated":"2026-05-26T09:53:42Z","snapshot_observed_at":"2026-08-02T17:10:54.260826Z","submitted_at":"2026-05-26T09:53:42Z","title":"Ratio-Variance Regularized Policy Optimization","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-29T19:44:02.317303Z"},"links":{"cited_paper":"/paper/2505.22375","citing_paper":"/paper/2605.26784"},"observation_digest":"sha256:7fdfdc1cedf7e219da13aa82c4a254f81942c1f9b3e734213da76757519b78e8","observation_id":"cf08b0b9-2f6f-4d24-a527-dda933894760","resolution":{"observed_at":"2026-06-29T19:53:55.959578Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.22375","last_updated":"2025-05-29T01:59:00Z","snapshot_observed_at":"2026-08-02T18:20:00.749960Z","submitted_at":"2025-05-28T14:03:02Z","title":"Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition","version":2},"cited_work":{"arxiv_id":"2505.22375","doi":"10.48550/arxiv.2505.22375","metadata_source":"pith","pith_arxiv_id":"2505.22375","snapshot_observed_at":"2026-07-10T19:57:34.122508Z","title":"Pangu embedded: An efficient dual-system llm reasoner with metacognition","venue":"cs.CL","work_id":"48eb26ab-dce4-4bb6-9a0c-2376e9449315","year":2025},"citing_paper":{"arxiv_id":"2605.28283","last_updated":"2026-05-27T10:29:52Z","snapshot_observed_at":"2026-08-02T21:43:58.634716Z","submitted_at":"2026-05-27T10:29:52Z","title":"PrunePath: Towards Highly Structured Sparse Language Models","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-29T13:21:56.530597Z"},"links":{"cited_paper":"/paper/2505.22375","citing_paper":"/paper/2605.28283"},"observation_digest":"sha256:99adf5d73e04823ba3fb6baa825ac81e11971f03c88820b35c52baca145c0f8e","observation_id":"769a2d3d-c3ff-4891-93be-6f37c3a3784c","resolution":{"observed_at":"2026-06-29T13:23:27.949725Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.22375","last_updated":"2025-05-29T01:59:00Z","snapshot_observed_at":"2026-08-02T18:20:00.749960Z","submitted_at":"2025-05-28T14:03:02Z","title":"Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition","version":2},"cited_work":{"arxiv_id":"2505.22375","doi":"10.48550/arxiv.2505.22375","metadata_source":"pith","pith_arxiv_id":"2505.22375","snapshot_observed_at":"2026-07-10T19:57:34.122508Z","title":"Pangu embedded: An efficient dual-system llm reasoner with metacognition","venue":"cs.CL","work_id":"48eb26ab-dce4-4bb6-9a0c-2376e9449315","year":2025},"citing_paper":{"arxiv_id":"2606.09061","last_updated":"2026-06-08T05:55:50Z","snapshot_observed_at":"2026-08-02T13:15:11.167736Z","submitted_at":"2026-06-08T05:55:50Z","title":"Fairness-Aware and Latency-Controllable Scheduling for Chunked-Prefill LLM Serving","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-06-27T15:09:37.157629Z"},"links":{"cited_paper":"/paper/2505.22375","citing_paper":"/paper/2606.09061"},"observation_digest":"sha256:70b6425f4e9c599b02d8eec774a1a0d82b44e4c6e8b20258fe63b5c4061be815","observation_id":"f7bb0a80-1753-4f32-961f-e4e8aa1d7043","resolution":{"observed_at":"2026-07-03T03:37:35.512824Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.22375","last_updated":"2025-05-29T01:59:00Z","snapshot_observed_at":"2026-08-02T18:20:00.749960Z","submitted_at":"2025-05-28T14:03:02Z","title":"Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition","version":2},"cited_work":{"arxiv_id":"2505.22375","doi":"10.48550/arxiv.2505.22375","metadata_source":"pith","pith_arxiv_id":"2505.22375","snapshot_observed_at":"2026-07-10T19:57:34.122508Z","title":"Pangu embedded: An efficient dual-system llm reasoner with metacognition","venue":"cs.CL","work_id":"48eb26ab-dce4-4bb6-9a0c-2376e9449315","year":2025},"citing_paper":{"arxiv_id":"2606.09508","last_updated":"2026-06-08T14:02:18Z","snapshot_observed_at":"2026-08-03T05:12:39.957667Z","submitted_at":"2026-06-08T14:02:18Z","title":"From Rigid to Dynamic: Entropy-Guided Adaptive Inference for Long-Context LLMs","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-06-27T16:57:02.709967Z"},"links":{"cited_paper":"/paper/2505.22375","citing_paper":"/paper/2606.09508"},"observation_digest":"sha256:9c876d035f57ab5b970ade110f753ad930745ab3281aae3444fe0136f4b61dce","observation_id":"1d210a94-253c-450c-a52a-1dd8fbbf458f","resolution":{"observed_at":"2026-06-27T17:01:07.765901Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.22375","last_updated":"2025-05-29T01:59:00Z","snapshot_observed_at":"2026-08-02T18:20:00.749960Z","submitted_at":"2025-05-28T14:03:02Z","title":"Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition","version":2},"cited_work":{"arxiv_id":"2505.22375","doi":"10.48550/arxiv.2505.22375","metadata_source":"pith","pith_arxiv_id":"2505.22375","snapshot_observed_at":"2026-07-10T19:57:34.122508Z","title":"Pangu embedded: An efficient dual-system llm reasoner with metacognition","venue":"cs.CL","work_id":"48eb26ab-dce4-4bb6-9a0c-2376e9449315","year":2025},"citing_paper":{"arxiv_id":"2606.30553","last_updated":"2026-06-30T15:48:46Z","snapshot_observed_at":"2026-07-07T00:04:25.385438Z","submitted_at":"2026-06-29T16:49:17Z","title":"COSM: A Cooperative Scheduling Framework for Concurrent PIM and CPU Execution on Mobile Devices","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-06-30T03:09:57.069086Z"},"links":{"cited_paper":"/paper/2505.22375","citing_paper":"/paper/2606.30553"},"observation_digest":"sha256:7b61e0fe1a1a75494c5d8286d423dbbfb6c243bc321c5f2308c3eda87147e192","observation_id":"f10dd99b-7d63-4b0f-912b-976d063b21ef","resolution":{"observed_at":"2026-06-30T03:14:14.939071Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.22375","last_updated":"2025-05-29T01:59:00Z","snapshot_observed_at":"2026-08-02T18:20:00.749960Z","submitted_at":"2025-05-28T14:03:02Z","title":"Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition","version":2},"cited_work":{"arxiv_id":"2505.22375","doi":"10.48550/arxiv.2505.22375","metadata_source":"pith","pith_arxiv_id":"2505.22375","snapshot_observed_at":"2026-07-10T19:57:34.122508Z","title":"Pangu embedded: An efficient dual-system llm reasoner with metacognition","venue":"cs.CL","work_id":"48eb26ab-dce4-4bb6-9a0c-2376e9449315","year":2025},"citing_paper":{"arxiv_id":"2606.30553","last_updated":"2026-06-30T15:48:46Z","snapshot_observed_at":"2026-07-07T00:04:25.385438Z","submitted_at":"2026-06-29T16:49:17Z","title":"COSM: A Cooperative Scheduling Framework for Concurrent PIM and CPU Execution on Mobile Devices","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-07-01T06:28:07.670564Z"},"links":{"cited_paper":"/paper/2505.22375","citing_paper":"/paper/2606.30553"},"observation_digest":"sha256:f5334758bda34525baa50420d417bf03e70da41450c4eee1be6aebaf34bc84c3","observation_id":"4cf4824b-55ca-4259-b2ca-8ee8f7322139","resolution":{"observed_at":"2026-07-01T09:35:39.901738Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.22375","last_updated":"2025-05-29T01:59:00Z","snapshot_observed_at":"2026-08-02T18:20:00.749960Z","submitted_at":"2025-05-28T14:03:02Z","title":"Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition","version":2},"cited_work":{"arxiv_id":"2505.22375","doi":"10.48550/arxiv.2505.22375","metadata_source":"pith","pith_arxiv_id":"2505.22375","snapshot_observed_at":"2026-07-10T19:57:34.122508Z","title":"Pangu embedded: An efficient dual-system llm reasoner with metacognition","venue":"cs.CL","work_id":"48eb26ab-dce4-4bb6-9a0c-2376e9449315","year":2025},"citing_paper":{"arxiv_id":"2607.07748","last_updated":"2026-07-08T09:18:56Z","snapshot_observed_at":"2026-08-02T13:50:09.105293Z","submitted_at":"2026-07-08T09:18:56Z","title":"Selective Left-Shift: Turning Test-Time Compute and Difficulty-based Curation into Training Data for Low-Resource Code Generation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-07-10T19:48:27.137130Z"},"links":{"cited_paper":"/paper/2505.22375","citing_paper":"/paper/2607.07748"},"observation_digest":"sha256:760fddfac5a173b9b1ff00eaf5c574127d6321e0e732cbc80d0182e66e64a84f","observation_id":"d0518ce9-d002-4400-bcb1-44e9d83a7900","resolution":{"observed_at":"2026-07-10T19:57:34.123828Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.22375","last_updated":"2025-05-29T01:59:00Z","snapshot_observed_at":"2026-08-02T18:20:00.749960Z","submitted_at":"2025-05-28T14:03:02Z","title":"Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.22375","snapshot_observed_at":"2026-08-01T22:32:26.126919Z","title":"arXiv preprint arXiv:2505.22375 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.15715","last_updated":"2026-07-29T16:36:23Z","snapshot_observed_at":"2026-08-01T23:36:15.516315Z","submitted_at":"2026-07-17T07:51:09Z","title":"Behavioral Controllability of Agentic Models for Information Extraction: From Fixed Workflows to Reflective Agents","version":2},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-01T22:32:26.126919Z"},"links":{"cited_paper":"/paper/2505.22375","citing_paper":"/paper/2607.15715"},"observation_digest":"sha256:e131e5a0e3b43e2f286f3c9189c314b0aa6d59155c8d006f37cc5524dfa6f51e","observation_id":"b71534e7-41bd-4cca-8509-364a963f3d02","resolution":{"observed_at":"2026-08-01T22:32:26.126919Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.22375","last_updated":"2025-05-29T01:59:00Z","snapshot_observed_at":"2026-08-02T18:20:00.749960Z","submitted_at":"2025-05-28T14:03:02Z","title":"Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.22375","snapshot_observed_at":"2026-07-31T23:03:17.854167Z","title":"arXiv preprint arXiv:2505.22375","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.24116","last_updated":"2026-07-27T07:57:28Z","snapshot_observed_at":"2026-07-31T23:03:16.756625Z","submitted_at":"2026-07-27T07:57:28Z","title":"A Cybersecurity MLPS Large Language Model with Multi-Path Retrieval Fusion","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-31T23:03:17.854167Z"},"links":{"cited_paper":"/paper/2505.22375","citing_paper":"/paper/2607.24116"},"observation_digest":"sha256:cfa3c5208a66dbf824dca2b2314d4330e10674d39236d53aef18775d0f895582","observation_id":"dd5a4d63-ec41-4a89-bb3d-244eae3f580c","resolution":{"observed_at":"2026-07-31T23:03:17.854167Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2505.22375/citation-record","integrity":"/paper/2505.22375/integrity","json":"/paper/2505.22375/citation-record.json","paper":"/paper/2505.22375"},"outbound":[],"paper":{"arxiv_id":"2505.22375","last_updated":"2025-05-29T01:59:00Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-02T18:20:00.749960Z","submitted_at":"2025-05-28T14:03:02Z","title":"Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition"},"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":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"thesis":"As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:2505.22375."}