{"as_of":"2026-08-19T10:50:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:62e02ccb6c2d52eee3ceec1f834c48fbcc2bafa1e4d462c690b25e4ceda9d5a2","coverage":[{"denominator":12,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":12,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T16:08:03.861801Z","state":"measured"},{"denominator":12,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":12,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2509.09801/citation-record","integrity":"/paper/2509.09801/integrity","json":"/paper/2509.09801/citation-record.json","paper":"/paper/2509.09801"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2402.12354","last_updated":"2024-07-04T18:33:00Z","snapshot_observed_at":"2026-08-18T19:20:07.218781Z","submitted_at":"2024-02-19T18:33:49Z","title":"LoRA+: Efficient Low Rank Adaptation of Large Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.12354","snapshot_observed_at":"2026-08-15T16:08:03.818196Z","title":"LoRA+: Efficient low rank adaptation of large models.ArXiv, abs/2402.12354,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.09801","last_updated":"2025-09-11T19:06:46Z","snapshot_observed_at":"2026-08-18T18:44:55.380162Z","submitted_at":"2025-09-11T19:06:46Z","title":"HEFT: A Coarse-to-Fine Hierarchy for Enhancing the Efficiency and Accuracy of Language Model Reasoning","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-15T16:08:03.818196Z"},"links":{"cited_paper":"/paper/2402.12354","citing_paper":"/paper/2509.09801"},"observation_digest":"sha256:4f6ac0ba5a3e1df477aa20ddeba9395667f4dbfc83b3304122056a99f78e2778","observation_id":"5d1cfd7a-2959-4073-8741-374e868f0bdd","resolution":{"observed_at":"2026-08-15T16:08:03.818196Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2508.20295","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T16:08:03.993433Z","title":"Pablo Muñoz, Tanya Roosta, and Ali Jannesari","venue":null,"work_id":"95bd9f7e-0ad3-4d1e-8060-cafa2c0a211a","year":null},"citing_paper":{"arxiv_id":"2509.09801","last_updated":"2025-09-11T19:06:46Z","snapshot_observed_at":"2026-08-18T18:44:55.380162Z","submitted_at":"2025-09-11T19:06:46Z","title":"HEFT: A Coarse-to-Fine Hierarchy for Enhancing the Efficiency and Accuracy of Language Model Reasoning","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-15T16:08:03.834880Z"},"links":{"citing_paper":"/paper/2509.09801"},"observation_digest":"sha256:14d7836b2aae0ff1c352a507f4cbc20afff9816835d20d29521446b9039dd776","observation_id":"f3ff27e2-116f-44fe-898a-065f857118ce","resolution":{"observed_at":"2026-08-15T16:08:04.007363Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.16419","last_updated":"2025-08-21T19:14:40Z","snapshot_observed_at":"2026-08-11T13:10:23.709172Z","submitted_at":"2025-03-20T17:59:38Z","title":"Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.16419","snapshot_observed_at":"2026-08-15T16:08:03.839706Z","title":"Stop overthinking: A survey on efficient reasoning for large language models.ArXiv, abs/2503.16419,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.09801","last_updated":"2025-09-11T19:06:46Z","snapshot_observed_at":"2026-08-18T18:44:55.380162Z","submitted_at":"2025-09-11T19:06:46Z","title":"HEFT: A Coarse-to-Fine Hierarchy for Enhancing the Efficiency and Accuracy of Language Model Reasoning","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-15T16:08:03.839706Z"},"links":{"cited_paper":"/paper/2503.16419","citing_paper":"/paper/2509.09801"},"observation_digest":"sha256:b7baa558b257a96812070d01bf99cf24c1c02a2327fc61553adeabb230a8110a","observation_id":"64f9c9d1-248d-4419-94d4-fde45637a0ee","resolution":{"observed_at":"2026-08-15T16:08:03.839706Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.13971","last_updated":"2023-02-27T17:11:15Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-02-27T17:11:15Z","title":"LLaMA: Open and Efficient Foundation Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.13971","snapshot_observed_at":"2026-08-15T16:08:03.844805Z","title":"LLaMA: Open and efficient foundation language models.arXiv preprint arXiv:2302.13971, 2023a","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.09801","last_updated":"2025-09-11T19:06:46Z","snapshot_observed_at":"2026-08-18T18:44:55.380162Z","submitted_at":"2025-09-11T19:06:46Z","title":"HEFT: A Coarse-to-Fine Hierarchy for Enhancing the Efficiency and Accuracy of Language Model Reasoning","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-15T16:08:03.844805Z"},"links":{"cited_paper":"/paper/2302.13971","citing_paper":"/paper/2509.09801"},"observation_digest":"sha256:9e6fca4d14cc3a0fe4c30625a64a914df5f8e1bd7bb1e699b76e3b4c14b98635","observation_id":"d2cf9a40-1cef-4219-ac74-383e8810426f","resolution":{"observed_at":"2026-08-15T16:08:03.844805Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.03592","last_updated":"2024-05-22T17:52:31Z","snapshot_observed_at":"2026-08-16T14:03:33.898248Z","submitted_at":"2024-04-04T17:00:37Z","title":"ReFT: Representation Finetuning for Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.03592","snapshot_observed_at":"2026-08-15T16:08:03.854234Z","title":"Elad Ben Zaken, Shauli Ravfogel, and Yoav Goldberg","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.09801","last_updated":"2025-09-11T19:06:46Z","snapshot_observed_at":"2026-08-18T18:44:55.380162Z","submitted_at":"2025-09-11T19:06:46Z","title":"HEFT: A Coarse-to-Fine Hierarchy for Enhancing the Efficiency and Accuracy of Language Model Reasoning","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-15T16:08:03.854234Z"},"links":{"cited_paper":"/paper/2404.03592","citing_paper":"/paper/2509.09801"},"observation_digest":"sha256:579033f38c6eb132b538ae77c7057972f220a9ee940a80460c3cdb89e611beb1","observation_id":"df502786-ca87-4ef8-b97a-9d3e09a6f2d8","resolution":{"observed_at":"2026-08-15T16:08:03.854234Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.10617","last_updated":"2025-04-26T02:35:54Z","snapshot_observed_at":"2026-08-16T12:50:16.595565Z","submitted_at":"2025-03-13T17:57:04Z","title":"Compositional Subspace Representation Fine-tuning for Adaptive Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.10617","snapshot_observed_at":"2026-08-15T16:08:03.858023Z","title":"CSReFT: Compositional subspace representation fine-tuning for adaptive large language models.ArXiv, abs/2503.10617,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.09801","last_updated":"2025-09-11T19:06:46Z","snapshot_observed_at":"2026-08-18T18:44:55.380162Z","submitted_at":"2025-09-11T19:06:46Z","title":"HEFT: A Coarse-to-Fine Hierarchy for Enhancing the Efficiency and Accuracy of Language Model Reasoning","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-15T16:08:03.858023Z"},"links":{"cited_paper":"/paper/2503.10617","citing_paper":"/paper/2509.09801"},"observation_digest":"sha256:fd01d57bea60efde5d0903d68fe7be89a68f6f8d43d6809e613acac6fdfd3f2d","observation_id":"d7c7d173-b43e-4d7d-ad9e-eec550a6f387","resolution":{"observed_at":"2026-08-15T16:08:03.858023Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T16:08:04.139214Z","title":"C U D A _ V I S I B L E _ D E V I C E S","venue":null,"work_id":"5fc90bd7-bc4d-46f6-af8a-839ab39c6f3f","year":null},"citing_paper":{"arxiv_id":"2509.09801","last_updated":"2025-09-11T19:06:46Z","snapshot_observed_at":"2026-08-18T18:44:55.380162Z","submitted_at":"2025-09-11T19:06:46Z","title":"HEFT: A Coarse-to-Fine Hierarchy for Enhancing the Efficiency and Accuracy of Language Model Reasoning","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-15T16:08:03.861801Z"},"links":{"citing_paper":"/paper/2509.09801"},"observation_digest":"sha256:cb416b3df2adc008bf45f7b879590fea3d756cd89495818c82f4f674d0c62472","observation_id":"b290c9d0-c6a5-41e2-8718-d7a347c83d95","resolution":{"observed_at":"2026-08-15T16:08:04.144817Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1905.10044","last_updated":"2019-05-24T05:48:49Z","snapshot_observed_at":"2026-08-17T14:44:42.060038Z","submitted_at":"2019-05-24T05:48:49Z","title":"BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1905.10044","snapshot_observed_at":"2026-08-15T16:08:03.814461Z","title":"Zihao Fu, Haoran Yang, Anthony Man-Cho So, Wai Lam, Lidong Bing, and Nigel Collier","venue":null,"work_id":null,"year":1905},"citing_paper":{"arxiv_id":"2509.09801","last_updated":"2025-09-11T19:06:46Z","snapshot_observed_at":"2026-08-18T18:44:55.380162Z","submitted_at":"2025-09-11T19:06:46Z","title":"HEFT: A Coarse-to-Fine Hierarchy for Enhancing the Efficiency and Accuracy of Language Model Reasoning","version":1},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-15T16:08:03.814461Z"},"links":{"cited_paper":"/paper/1905.10044","citing_paper":"/paper/2509.09801"},"observation_digest":"sha256:85641e9a7876cf62a22a1b2ae1e46164aa27993df4511244ed24e1f030767158","observation_id":"480d8c7e-13e6-4ade-8d04-6cc95b5edd98","resolution":{"observed_at":"2026-08-15T16:08:03.814461Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2106.09685","last_updated":"2021-10-16T18:40:34Z","snapshot_observed_at":"2026-08-17T18:04:53.578114Z","submitted_at":"2021-06-17T17:37:18Z","title":"LoRA: Low-Rank Adaptation of Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.09685","snapshot_observed_at":"2026-08-15T16:08:03.827009Z","title":"Jie Huang and Kevin Chen-Chuan Chang","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.09801","last_updated":"2025-09-11T19:06:46Z","snapshot_observed_at":"2026-08-18T18:44:55.380162Z","submitted_at":"2025-09-11T19:06:46Z","title":"HEFT: A Coarse-to-Fine Hierarchy for Enhancing the Efficiency and Accuracy of Language Model Reasoning","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-15T16:08:03.827009Z"},"links":{"cited_paper":"/paper/2106.09685","citing_paper":"/paper/2509.09801"},"observation_digest":"sha256:a48f798a97f6a16c9d259ed87fd2f27f9685f871a29274e18a1fcfa43b6133c0","observation_id":"3ebc677c-7139-4118-84b4-7d418ceaa7e5","resolution":{"observed_at":"2026-08-15T16:08:03.827009Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T16:08:03.830867Z","title":"LoRA vs full fine- tuning: An illusion of equivalence.ArXiv, abs/2410.21228,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.09801","last_updated":"2025-09-11T19:06:46Z","snapshot_observed_at":"2026-08-18T18:44:55.380162Z","submitted_at":"2025-09-11T19:06:46Z","title":"HEFT: A Coarse-to-Fine Hierarchy for Enhancing the Efficiency and Accuracy of Language Model Reasoning","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-15T16:08:03.830867Z"},"links":{"citing_paper":"/paper/2509.09801"},"observation_digest":"sha256:942bb172dd7109bae5e8ab0cfc7b7e317823b2ed431403d700a276927633c3a0","observation_id":"fcc63aac-9ab2-4e61-bdae-410fd198145a","resolution":{"observed_at":"2026-08-15T16:08:03.830867Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.16867","last_updated":"2023-11-29T19:45:10Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-11-28T15:12:47Z","title":"The Falcon Series of Open Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.16867","snapshot_observed_at":"2026-08-15T16:08:03.800611Z","title":"Nader Asadi, Mahdi Beitollahi, Yasser Khalil, Yinchuan Li, Guojun Zhang, and Xi Chen","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.09801","last_updated":"2025-09-11T19:06:46Z","snapshot_observed_at":"2026-08-18T18:44:55.380162Z","submitted_at":"2025-09-11T19:06:46Z","title":"HEFT: A Coarse-to-Fine Hierarchy for Enhancing the Efficiency and Accuracy of Language Model Reasoning","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-15T16:08:03.800611Z"},"links":{"cited_paper":"/paper/2311.16867","citing_paper":"/paper/2509.09801"},"observation_digest":"sha256:856ae0a152dfbb1140582dc279a70be8817d10e8baf241918c416ab6d66d4a07","observation_id":"59cea111-5546-40b4-a35f-5cbabfd2f647","resolution":{"observed_at":"2026-08-15T16:08:03.800611Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.15414","last_updated":"2024-02-23T16:20:29Z","snapshot_observed_at":"2026-08-16T14:15:51.593563Z","submitted_at":"2024-02-23T16:20:29Z","title":"Does Combining Parameter-efficient Modules Improve Few-shot Transfer Accuracy?","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.15414","snapshot_observed_at":"2026-08-15T16:08:03.805210Z","title":"Jieming Bian, Yuanzhe Peng, Lei Wang, Yin Huang, and Jie Xu","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.09801","last_updated":"2025-09-11T19:06:46Z","snapshot_observed_at":"2026-08-18T18:44:55.380162Z","submitted_at":"2025-09-11T19:06:46Z","title":"HEFT: A Coarse-to-Fine Hierarchy for Enhancing the Efficiency and Accuracy of Language Model Reasoning","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-15T16:08:03.805210Z"},"links":{"cited_paper":"/paper/2402.15414","citing_paper":"/paper/2509.09801"},"observation_digest":"sha256:9a53fb2eb088e323d99f1bc2571df025499a424f529ff1f4993d3bf562b62ed2","observation_id":"a839275f-376c-40e5-a186-0079d6a5cdea","resolution":{"observed_at":"2026-08-15T16:08:03.805210Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2509.09801","last_updated":"2025-09-11T19:06:46Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-18T18:44:55.380162Z","submitted_at":"2025-09-11T19:06:46Z","title":"HEFT: A Coarse-to-Fine Hierarchy for Enhancing the Efficiency and Accuracy of Language Model Reasoning"},"reference_resolution":{"displayed":12,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":10,"verified_exact":1,"verified_fuzzy":1},"total_outbound_references":12},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2509.09801."}