{"as_of":"2026-08-13T04:21:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:809f9f0c2017bbed4b0bb6ebd048c9829d41940ad48c31bd9de2c3316ed69f13","coverage":[{"denominator":37,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":37,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-02T07:04:42.363768Z","state":"measured"},{"denominator":38,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":38,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T08:23:38.504014Z","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":[{"citation":{"cited_paper":{"arxiv_id":"2607.13080","last_updated":"2026-07-13T07:04:49Z","snapshot_observed_at":"2026-08-10T17:53:01.761244Z","submitted_at":"2026-07-13T07:04:49Z","title":"Inference Economics of Enterprise Coding Agents: A Case Study of Cloud vs. On-Premise LLMs","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2607.13080","snapshot_observed_at":"2026-08-01T08:23:38.504014Z","title":"Inference economics of enterprise coding agents: A case study of cloud vs","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.21674","last_updated":"2026-07-23T10:18:42Z","snapshot_observed_at":"2026-08-08T09:02:03.993798Z","submitted_at":"2026-07-23T10:18:42Z","title":"Output Format x Model Identity: Interaction Effects in Single-Round Coding Agent Performance","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-01T08:23:38.504014Z"},"links":{"cited_paper":"/paper/2607.13080","citing_paper":"/paper/2607.21674"},"observation_digest":"sha256:f0b69d2d84cfea2a10b873eba5059281ced063cf013b23375de523f470b73ac0","observation_id":"7c8ad546-7dd3-4b49-ad47-9f68759ca343","resolution":{"observed_at":"2026-08-01T08:23:38.504014Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2607.13080/citation-record","integrity":"/paper/2607.13080/integrity","json":"/paper/2607.13080/citation-record.json","paper":"/paper/2607.13080"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T07:04:39.766569Z","title":"NVIDIA Blackwell architecture: Technical brief,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.13080","last_updated":"2026-07-13T07:04:49Z","snapshot_observed_at":"2026-08-10T17:53:01.761244Z","submitted_at":"2026-07-13T07:04:49Z","title":"Inference Economics of Enterprise Coding Agents: A Case Study of Cloud vs. On-Premise LLMs","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-02T07:04:39.766569Z"},"links":{"citing_paper":"/paper/2607.13080"},"observation_digest":"sha256:14b0dbcf2481b2a5e29254c5f6ee7a0dd7ff2a94afca8d8b7f4b1bb218691b4f","observation_id":"3fe5948e-1c9a-40d7-8715-f6d12d1f85bf","resolution":{"observed_at":"2026-08-02T07:04:39.766569Z","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":"2026-08-02T07:04:39.838333Z","title":"SWE-agent: Agent-computer interfaces enable automated software engineering,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.13080","last_updated":"2026-07-13T07:04:49Z","snapshot_observed_at":"2026-08-10T17:53:01.761244Z","submitted_at":"2026-07-13T07:04:49Z","title":"Inference Economics of Enterprise Coding Agents: A Case Study of Cloud vs. On-Premise LLMs","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-02T07:04:39.838333Z"},"links":{"citing_paper":"/paper/2607.13080"},"observation_digest":"sha256:5b7e87a65b319ee014ac9aae8f68744bda1fb6dbf25a9ad1df8b1704a2619260","observation_id":"6794eb61-a527-4ff9-a5ec-68bb372b4da6","resolution":{"observed_at":"2026-08-02T07:04:39.838333Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.01489","last_updated":"2024-10-29T17:29:27Z","snapshot_observed_at":"2026-08-10T19:28:41.964638Z","submitted_at":"2024-07-01T17:24:45Z","title":"Agentless: Demystifying LLM-based Software Engineering Agents","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.01489","snapshot_observed_at":"2026-08-02T07:04:39.921873Z","title":"Agentless: De- mystifying LLM-based software engineering agents,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.13080","last_updated":"2026-07-13T07:04:49Z","snapshot_observed_at":"2026-08-10T17:53:01.761244Z","submitted_at":"2026-07-13T07:04:49Z","title":"Inference Economics of Enterprise Coding Agents: A Case Study of Cloud vs. On-Premise LLMs","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-02T07:04:39.921873Z"},"links":{"cited_paper":"/paper/2407.01489","citing_paper":"/paper/2607.13080"},"observation_digest":"sha256:0f93978477b9ad9b6c120e4d573f5ef803768187fa2d9f959cc86a99c977638b","observation_id":"9541c48c-d37b-4abd-b5fc-3d33128fbd84","resolution":{"observed_at":"2026-08-02T07:04:39.921873Z","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":"2026-08-02T07:04:39.989454Z","title":"SWE-bench: Can language models resolve real-world GitHub issues?","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.13080","last_updated":"2026-07-13T07:04:49Z","snapshot_observed_at":"2026-08-10T17:53:01.761244Z","submitted_at":"2026-07-13T07:04:49Z","title":"Inference Economics of Enterprise Coding Agents: A Case Study of Cloud vs. On-Premise LLMs","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-02T07:04:39.989454Z"},"links":{"citing_paper":"/paper/2607.13080"},"observation_digest":"sha256:b9042288a8bf3f5dee04f915032219cb0add6a28be846966faa06049d350a418","observation_id":"ad083203-9140-495a-a874-adb36d8ebc45","resolution":{"observed_at":"2026-08-02T07:04:39.989454Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.06590","last_updated":"2023-02-13T18:42:46Z","snapshot_observed_at":"2026-08-12T02:38:31.158290Z","submitted_at":"2023-02-13T18:42:46Z","title":"The Impact of AI on Developer Productivity: Evidence from GitHub Copilot","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.06590","snapshot_observed_at":"2026-08-02T07:04:40.066815Z","title":"The impact of AI on developer productivity: Evidence from GitHub Copilot,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.13080","last_updated":"2026-07-13T07:04:49Z","snapshot_observed_at":"2026-08-10T17:53:01.761244Z","submitted_at":"2026-07-13T07:04:49Z","title":"Inference Economics of Enterprise Coding Agents: A Case Study of Cloud vs. On-Premise LLMs","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-02T07:04:40.066815Z"},"links":{"cited_paper":"/paper/2302.06590","citing_paper":"/paper/2607.13080"},"observation_digest":"sha256:d6a231ff1a3d660f5c81fd99328590746656178873a635fb95e225a157df375c","observation_id":"6edf26d2-5ca0-449d-bfcc-af70bb35fe9f","resolution":{"observed_at":"2026-08-02T07:04:40.066815Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2507.09089","last_updated":"2025-07-25T00:43:07Z","snapshot_observed_at":"2026-08-06T18:02:32.676640Z","submitted_at":"2025-07-12T00:16:33Z","title":"Measuring the Impact of Early-2025 AI on Experienced Open-Source Developer Productivity","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2507.09089","snapshot_observed_at":"2026-08-02T07:04:40.139740Z","title":"Measuring the impact of early-2025 AI on experienced open-source developer productivity,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.13080","last_updated":"2026-07-13T07:04:49Z","snapshot_observed_at":"2026-08-10T17:53:01.761244Z","submitted_at":"2026-07-13T07:04:49Z","title":"Inference Economics of Enterprise Coding Agents: A Case Study of Cloud vs. On-Premise LLMs","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-02T07:04:40.139740Z"},"links":{"cited_paper":"/paper/2507.09089","citing_paper":"/paper/2607.13080"},"observation_digest":"sha256:ef59e491c8006e9af4a09aa9cf1bafafc3e2e2d41ac4815c2a9dfa1f51e136be","observation_id":"ddaedc69-c686-4be4-8fd9-43ab884ea52f","resolution":{"observed_at":"2026-08-02T07:04:40.139740Z","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":"2026-08-02T07:04:40.194353Z","title":"Efficient memory management for large language model serving with PagedAttention,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.13080","last_updated":"2026-07-13T07:04:49Z","snapshot_observed_at":"2026-08-10T17:53:01.761244Z","submitted_at":"2026-07-13T07:04:49Z","title":"Inference Economics of Enterprise Coding Agents: A Case Study of Cloud vs. On-Premise LLMs","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-02T07:04:40.194353Z"},"links":{"citing_paper":"/paper/2607.13080"},"observation_digest":"sha256:83a053d8c0975a38c59285b03ae745f04ad436811136bc31908c3b434fb0a128","observation_id":"7c9327ac-a692-4427-ae6a-4de138260c52","resolution":{"observed_at":"2026-08-02T07:04:40.194353Z","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":"2026-08-02T07:04:40.253999Z","title":"Orca: A distributed serving system for transformer-based generative models,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.13080","last_updated":"2026-07-13T07:04:49Z","snapshot_observed_at":"2026-08-10T17:53:01.761244Z","submitted_at":"2026-07-13T07:04:49Z","title":"Inference Economics of Enterprise Coding Agents: A Case Study of Cloud vs. On-Premise LLMs","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-02T07:04:40.253999Z"},"links":{"citing_paper":"/paper/2607.13080"},"observation_digest":"sha256:d23b456d71b201141d072d6d073d7d48dada48b8963156bea4cba14fc8219e86","observation_id":"0ca67b9b-1b04-4a9e-96f2-765a88e56439","resolution":{"observed_at":"2026-08-02T07:04:40.253999Z","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":"2026-08-02T07:04:40.338192Z","title":"AWQ: Activation-aware weight quantiza- tion for on-device LLM compression and acceleration,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.13080","last_updated":"2026-07-13T07:04:49Z","snapshot_observed_at":"2026-08-10T17:53:01.761244Z","submitted_at":"2026-07-13T07:04:49Z","title":"Inference Economics of Enterprise Coding Agents: A Case Study of Cloud vs. On-Premise LLMs","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-02T07:04:40.338192Z"},"links":{"citing_paper":"/paper/2607.13080"},"observation_digest":"sha256:b1ec054b073f5ce75473877cbb3819af4822838a24490626b52ffcf1ff25a09d","observation_id":"511355a9-d019-4324-bea3-ca12719d196e","resolution":{"observed_at":"2026-08-02T07:04:40.338192Z","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":"2026-08-02T07:04:40.403502Z","title":"GPTQ: Accurate post-training quantization for generative pre-trained transformers,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.13080","last_updated":"2026-07-13T07:04:49Z","snapshot_observed_at":"2026-08-10T17:53:01.761244Z","submitted_at":"2026-07-13T07:04:49Z","title":"Inference Economics of Enterprise Coding Agents: A Case Study of Cloud vs. On-Premise LLMs","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-02T07:04:40.403502Z"},"links":{"citing_paper":"/paper/2607.13080"},"observation_digest":"sha256:e986220c3bdc5d916b2e2b38cb2f9c42ed67d3e157fc8556043209586d87cd81","observation_id":"e837faf3-8d27-4eed-b7e3-caf2f5620608","resolution":{"observed_at":"2026-08-02T07:04:40.403502Z","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":"2026-08-02T07:04:40.455319Z","title":"SmoothQuant: Accurate and efficient post-training quantization for large language models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.13080","last_updated":"2026-07-13T07:04:49Z","snapshot_observed_at":"2026-08-10T17:53:01.761244Z","submitted_at":"2026-07-13T07:04:49Z","title":"Inference Economics of Enterprise Coding Agents: A Case Study of Cloud vs. On-Premise LLMs","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-02T07:04:40.455319Z"},"links":{"citing_paper":"/paper/2607.13080"},"observation_digest":"sha256:27e0c3bf07fa49926c1f212d1b3a096fa2ffa455d009d384977b33b2d1d3ff2f","observation_id":"682c8f15-c04e-4c3c-9c42-5b21052cad8a","resolution":{"observed_at":"2026-08-02T07:04:40.455319Z","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":"2026-08-02T07:04:40.515686Z","title":"GLM-5.2-NVFP4 official model configuration,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.13080","last_updated":"2026-07-13T07:04:49Z","snapshot_observed_at":"2026-08-10T17:53:01.761244Z","submitted_at":"2026-07-13T07:04:49Z","title":"Inference Economics of Enterprise Coding Agents: A Case Study of Cloud vs. On-Premise LLMs","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-02T07:04:40.515686Z"},"links":{"citing_paper":"/paper/2607.13080"},"observation_digest":"sha256:113d5adc434fe5483ef7da385a3e420987256f5995a24ab24f8e6ed57b724e48","observation_id":"f51aa995-8a7e-49be-9dee-38e545a4735d","resolution":{"observed_at":"2026-08-02T07:04:40.515686Z","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":"2026-08-02T07:04:40.580096Z","title":"Evaluating the impact of post-training quantization on large language models for code generation,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.13080","last_updated":"2026-07-13T07:04:49Z","snapshot_observed_at":"2026-08-10T17:53:01.761244Z","submitted_at":"2026-07-13T07:04:49Z","title":"Inference Economics of Enterprise Coding Agents: A Case Study of Cloud vs. On-Premise LLMs","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-02T07:04:40.580096Z"},"links":{"citing_paper":"/paper/2607.13080"},"observation_digest":"sha256:b164844a4f56d973f26211ff1e78529be0107be7f2299a4ed2e4b67a4276dcb1","observation_id":"33110659-b3f4-4909-901e-3c8bc8ea752c","resolution":{"observed_at":"2026-08-02T07:04:40.580096Z","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":"2026-08-02T07:04:40.663530Z","title":"Artificial Analysis: LLM model intelligence, per- formance and price index,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.13080","last_updated":"2026-07-13T07:04:49Z","snapshot_observed_at":"2026-08-10T17:53:01.761244Z","submitted_at":"2026-07-13T07:04:49Z","title":"Inference Economics of Enterprise Coding Agents: A Case Study of Cloud vs. On-Premise LLMs","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-02T07:04:40.663530Z"},"links":{"citing_paper":"/paper/2607.13080"},"observation_digest":"sha256:45c262a2538524f8432d07bd15a18e174e05b7444be002ad2e76908302440586","observation_id":"c78b8300-4c24-42f3-918f-13344c03bbfb","resolution":{"observed_at":"2026-08-02T07:04:40.663530Z","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":"2026-08-02T07:04:40.758033Z","title":"SWE-bench Pro leaderboard (2026): Model scores,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.13080","last_updated":"2026-07-13T07:04:49Z","snapshot_observed_at":"2026-08-10T17:53:01.761244Z","submitted_at":"2026-07-13T07:04:49Z","title":"Inference Economics of Enterprise Coding Agents: A Case Study of Cloud vs. On-Premise LLMs","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-02T07:04:40.758033Z"},"links":{"citing_paper":"/paper/2607.13080"},"observation_digest":"sha256:53025023b0e5e5a16e3ee82b9baacf6e4315ac3a879aac9f2dc30fcc65bf7eb7","observation_id":"38d2d28c-9b01-4970-bfa1-6e5f2d5d6cf6","resolution":{"observed_at":"2026-08-02T07:04:40.758033Z","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":"2026-08-02T07:04:40.812925Z","title":"GPT-5.5 model documentation,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.13080","last_updated":"2026-07-13T07:04:49Z","snapshot_observed_at":"2026-08-10T17:53:01.761244Z","submitted_at":"2026-07-13T07:04:49Z","title":"Inference Economics of Enterprise Coding Agents: A Case Study of Cloud vs. On-Premise LLMs","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-02T07:04:40.812925Z"},"links":{"citing_paper":"/paper/2607.13080"},"observation_digest":"sha256:ff140eded75cac65ef9583d573e9047f9e87fcaddf54ff955614a2895abb1781","observation_id":"5c67e3b4-1c15-4936-bf79-a5957b83f833","resolution":{"observed_at":"2026-08-02T07:04:40.812925Z","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":"2026-08-02T07:04:40.923885Z","title":"Prompt caching: Speed up and lower the cost of your API requests,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.13080","last_updated":"2026-07-13T07:04:49Z","snapshot_observed_at":"2026-08-10T17:53:01.761244Z","submitted_at":"2026-07-13T07:04:49Z","title":"Inference Economics of Enterprise Coding Agents: A Case Study of Cloud vs. On-Premise LLMs","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-02T07:04:40.923885Z"},"links":{"citing_paper":"/paper/2607.13080"},"observation_digest":"sha256:9f050e413b69831dbe47efdef6744562537f4c65891111691f6b1da5f7d9ebf7","observation_id":"a0e900d1-968a-4d64-a219-4a206773e33f","resolution":{"observed_at":"2026-08-02T07:04:40.923885Z","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":"2026-08-02T07:04:40.985461Z","title":"Claude Code: Agentic coding documentation,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.13080","last_updated":"2026-07-13T07:04:49Z","snapshot_observed_at":"2026-08-10T17:53:01.761244Z","submitted_at":"2026-07-13T07:04:49Z","title":"Inference Economics of Enterprise Coding Agents: A Case Study of Cloud vs. On-Premise LLMs","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-02T07:04:40.985461Z"},"links":{"citing_paper":"/paper/2607.13080"},"observation_digest":"sha256:6d244a56ece4ee53dba8d43a9a94eb353032f50fdeb807ef431c5e4c84af0335","observation_id":"c5ba8381-e0f0-4ac8-a92c-48c1b07b4f85","resolution":{"observed_at":"2026-08-02T07:04:40.985461Z","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":"2026-08-02T07:04:41.034559Z","title":"opencode: AI coding agent built for the terminal,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.13080","last_updated":"2026-07-13T07:04:49Z","snapshot_observed_at":"2026-08-10T17:53:01.761244Z","submitted_at":"2026-07-13T07:04:49Z","title":"Inference Economics of Enterprise Coding Agents: A Case Study of Cloud vs. On-Premise LLMs","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-02T07:04:41.034559Z"},"links":{"citing_paper":"/paper/2607.13080"},"observation_digest":"sha256:dabbb392244d0c511a7a179a6760718457c529212e6eda0b3a1e4b75bce8602d","observation_id":"3a03b25c-6be4-4eb6-a754-2ddbf8eee00f","resolution":{"observed_at":"2026-08-02T07:04:41.034559Z","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":"2026-08-02T07:04:41.086184Z","title":"GLM-5.1-NVFP4 model con- figuration,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.13080","last_updated":"2026-07-13T07:04:49Z","snapshot_observed_at":"2026-08-10T17:53:01.761244Z","submitted_at":"2026-07-13T07:04:49Z","title":"Inference Economics of Enterprise Coding Agents: A Case Study of Cloud vs. On-Premise LLMs","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-02T07:04:41.086184Z"},"links":{"citing_paper":"/paper/2607.13080"},"observation_digest":"sha256:d3b0704c8a7583e0b6103dd45a55c0782c55fb4b8ce3fb0bef70b31776e759d0","observation_id":"73a595b0-d0f7-4fdc-8f5a-a29536776687","resolution":{"observed_at":"2026-08-02T07:04:41.086184Z","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":"2026-08-02T07:04:41.136804Z","title":"Langfuse: Open source LLM engineering platform for telemetry and pricing audit,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.13080","last_updated":"2026-07-13T07:04:49Z","snapshot_observed_at":"2026-08-10T17:53:01.761244Z","submitted_at":"2026-07-13T07:04:49Z","title":"Inference Economics of Enterprise Coding Agents: A Case Study of Cloud vs. On-Premise LLMs","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-02T07:04:41.136804Z"},"links":{"citing_paper":"/paper/2607.13080"},"observation_digest":"sha256:ec036b44fd647d01189cb5a0b744ca8f3de9c5ef19b069a6166269c887a45d32","observation_id":"d5923ef6-0a1f-45e4-9811-fa5049ed9ba7","resolution":{"observed_at":"2026-08-02T07:04:41.136804Z","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":"2026-08-02T07:04:41.185308Z","title":"Identifying reasons for software changes using historic databases,","venue":null,"work_id":null,"year":2000},"citing_paper":{"arxiv_id":"2607.13080","last_updated":"2026-07-13T07:04:49Z","snapshot_observed_at":"2026-08-10T17:53:01.761244Z","submitted_at":"2026-07-13T07:04:49Z","title":"Inference Economics of Enterprise Coding Agents: A Case Study of Cloud vs. On-Premise LLMs","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-02T07:04:41.185308Z"},"links":{"citing_paper":"/paper/2607.13080"},"observation_digest":"sha256:f64ca503de6ff642a9eb4e3c2057faffe3ab1425e1781740cbbe737099213aca","observation_id":"5dbd83c9-1dc0-4d10-84bd-c420c9a9a44c","resolution":{"observed_at":"2026-08-02T07:04:41.185308Z","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":"2026-08-02T07:04:41.245170Z","title":null,"venue":null,"work_id":null,"year":1981},"citing_paper":{"arxiv_id":"2607.13080","last_updated":"2026-07-13T07:04:49Z","snapshot_observed_at":"2026-08-10T17:53:01.761244Z","submitted_at":"2026-07-13T07:04:49Z","title":"Inference Economics of Enterprise Coding Agents: A Case Study of Cloud vs. On-Premise LLMs","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-02T07:04:41.245170Z"},"links":{"citing_paper":"/paper/2607.13080"},"observation_digest":"sha256:505d4244a80de38d616aeb44ea879a63ba2d0e116cffde5efbd3c7e8a5bdd791","observation_id":"df63c420-22e8-424a-a1d9-a4a336ed1ac0","resolution":{"observed_at":"2026-08-02T07:04:41.245170Z","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":"2026-08-02T07:04:41.336718Z","title":"Recommendations for analysing and meta-analysing small sample size software engineering experiments,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.13080","last_updated":"2026-07-13T07:04:49Z","snapshot_observed_at":"2026-08-10T17:53:01.761244Z","submitted_at":"2026-07-13T07:04:49Z","title":"Inference Economics of Enterprise Coding Agents: A Case Study of Cloud vs. On-Premise LLMs","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-02T07:04:41.336718Z"},"links":{"citing_paper":"/paper/2607.13080"},"observation_digest":"sha256:f175800048aaf943451b6c6b6a348e8cd2fbcdee1a2b16970904ee10b1d95cd3","observation_id":"7a5f0aac-b666-47f9-9d57-8fb2524c1cfb","resolution":{"observed_at":"2026-08-02T07:04:41.336718Z","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":"2026-08-02T07:04:41.418623Z","title":"Claude platform pricing,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.13080","last_updated":"2026-07-13T07:04:49Z","snapshot_observed_at":"2026-08-10T17:53:01.761244Z","submitted_at":"2026-07-13T07:04:49Z","title":"Inference Economics of Enterprise Coding Agents: A Case Study of Cloud vs. On-Premise LLMs","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-02T07:04:41.418623Z"},"links":{"citing_paper":"/paper/2607.13080"},"observation_digest":"sha256:1430b0f933d7b85a96930bcab2da88fc6212389f9493f57be8c4f203e8e48886","observation_id":"40ba8294-94d9-41f1-aa6c-d181ab292c0e","resolution":{"observed_at":"2026-08-02T07:04:41.418623Z","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":"2026-08-02T07:04:41.493880Z","title":"NVIDIA B200 cloud pricing comparison across providers,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.13080","last_updated":"2026-07-13T07:04:49Z","snapshot_observed_at":"2026-08-10T17:53:01.761244Z","submitted_at":"2026-07-13T07:04:49Z","title":"Inference Economics of Enterprise Coding Agents: A Case Study of Cloud vs. On-Premise LLMs","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-02T07:04:41.493880Z"},"links":{"citing_paper":"/paper/2607.13080"},"observation_digest":"sha256:f25a65811772864400039c76e63e2b7362ae6f966d6e59780866dfaa45d8d68f","observation_id":"5af6acd5-b987-486d-ba3d-093ac74f50de","resolution":{"observed_at":"2026-08-02T07:04:41.493880Z","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":"2026-08-02T07:04:41.551050Z","title":"Development of NASA-TLX (Task Load Index): Results of empirical and theoretical research,","venue":null,"work_id":null,"year":1988},"citing_paper":{"arxiv_id":"2607.13080","last_updated":"2026-07-13T07:04:49Z","snapshot_observed_at":"2026-08-10T17:53:01.761244Z","submitted_at":"2026-07-13T07:04:49Z","title":"Inference Economics of Enterprise Coding Agents: A Case Study of Cloud vs. On-Premise LLMs","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-02T07:04:41.551050Z"},"links":{"citing_paper":"/paper/2607.13080"},"observation_digest":"sha256:cd5685f476f8c8afa1876ba9b06129c302d843270016da6833fe95fac2565ba7","observation_id":"c6439c8d-ffa1-4fe6-9620-339ff04a2d7f","resolution":{"observed_at":"2026-08-02T07:04:41.551050Z","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":"2026-08-02T07:04:41.581029Z","title":"Earnings and productivity statistics,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.13080","last_updated":"2026-07-13T07:04:49Z","snapshot_observed_at":"2026-08-10T17:53:01.761244Z","submitted_at":"2026-07-13T07:04:49Z","title":"Inference Economics of Enterprise Coding Agents: A Case Study of Cloud vs. On-Premise LLMs","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-02T07:04:41.581029Z"},"links":{"citing_paper":"/paper/2607.13080"},"observation_digest":"sha256:934c56628e76ee4f07ddb50dba66f64c2b8b809a65a3f2eec2dd1556b3519f02","observation_id":"52183e78-f42f-4bd6-8f9a-0cb09651b628","resolution":{"observed_at":"2026-08-02T07:04:41.581029Z","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":"2026-08-02T07:04:41.650249Z","title":"Electricity tariff tables (effective 2025-10- 01),","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.13080","last_updated":"2026-07-13T07:04:49Z","snapshot_observed_at":"2026-08-10T17:53:01.761244Z","submitted_at":"2026-07-13T07:04:49Z","title":"Inference Economics of Enterprise Coding Agents: A Case Study of Cloud vs. On-Premise LLMs","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-02T07:04:41.650249Z"},"links":{"citing_paper":"/paper/2607.13080"},"observation_digest":"sha256:44cb896078f3cbb7330f21b4fff3c2159a279f8298759475cc64eb0999cbdc85","observation_id":"5f307f8a-7470-4291-94d5-604a4759647c","resolution":{"observed_at":"2026-08-02T07:04:41.650249Z","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":"2026-08-02T07:04:41.717576Z","title":"Estimating the carbon footprint of BLOOM, a 176B parameter language model,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.13080","last_updated":"2026-07-13T07:04:49Z","snapshot_observed_at":"2026-08-10T17:53:01.761244Z","submitted_at":"2026-07-13T07:04:49Z","title":"Inference Economics of Enterprise Coding Agents: A Case Study of Cloud vs. On-Premise LLMs","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-02T07:04:41.717576Z"},"links":{"citing_paper":"/paper/2607.13080"},"observation_digest":"sha256:06aaec193e742253063c94254b100f84173d42db0baad67b0effd374960e6146","observation_id":"326d80f0-7bd2-4c20-8096-7d61e44a5f7f","resolution":{"observed_at":"2026-08-02T07:04:41.717576Z","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":"2026-08-02T07:04:41.744554Z","title":"FrugalGPT: How to use large language models while reducing cost and improving performance,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.13080","last_updated":"2026-07-13T07:04:49Z","snapshot_observed_at":"2026-08-10T17:53:01.761244Z","submitted_at":"2026-07-13T07:04:49Z","title":"Inference Economics of Enterprise Coding Agents: A Case Study of Cloud vs. On-Premise LLMs","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-02T07:04:41.744554Z"},"links":{"citing_paper":"/paper/2607.13080"},"observation_digest":"sha256:7c04586f5e4259c4aebfc7498faa715e0677fdac2a199f6d24c12f5cb834aca9","observation_id":"9f34f89c-b4ea-4a19-a08f-0b371e228cfd","resolution":{"observed_at":"2026-08-02T07:04:41.744554Z","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":"2026-08-02T07:04:41.794675Z","title":"RouteLLM: Learning to route LLMs with preference data,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.13080","last_updated":"2026-07-13T07:04:49Z","snapshot_observed_at":"2026-08-10T17:53:01.761244Z","submitted_at":"2026-07-13T07:04:49Z","title":"Inference Economics of Enterprise Coding Agents: A Case Study of Cloud vs. On-Premise LLMs","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-02T07:04:41.794675Z"},"links":{"citing_paper":"/paper/2607.13080"},"observation_digest":"sha256:260b29cbf2e97c4f8525d96f454a7fc8a1b1bab1c204a60c32cb0d196142de15","observation_id":"eb8419c0-87c7-49c5-98c2-395abf43baf6","resolution":{"observed_at":"2026-08-02T07:04:41.794675Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.01502","last_updated":"2024-07-01T17:48:14Z","snapshot_observed_at":"2026-08-12T23:31:03.691496Z","submitted_at":"2024-07-01T17:48:14Z","title":"AI Agents That Matter","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.01502","snapshot_observed_at":"2026-08-02T07:04:41.979939Z","title":"AI agents that matter,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.13080","last_updated":"2026-07-13T07:04:49Z","snapshot_observed_at":"2026-08-10T17:53:01.761244Z","submitted_at":"2026-07-13T07:04:49Z","title":"Inference Economics of Enterprise Coding Agents: A Case Study of Cloud vs. On-Premise LLMs","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-02T07:04:41.979939Z"},"links":{"cited_paper":"/paper/2407.01502","citing_paper":"/paper/2607.13080"},"observation_digest":"sha256:c663bad52f30f2408f5512f066c9b60357055e76fc3270aa0ec5a019ced283dd","observation_id":"f8fa53c3-91cf-49a2-9a04-2e0da2e0807e","resolution":{"observed_at":"2026-08-02T07:04:41.979939Z","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":"2026-08-02T07:04:42.067093Z","title":"A large scale study of programming languages and code quality in GitHub,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2607.13080","last_updated":"2026-07-13T07:04:49Z","snapshot_observed_at":"2026-08-10T17:53:01.761244Z","submitted_at":"2026-07-13T07:04:49Z","title":"Inference Economics of Enterprise Coding Agents: A Case Study of Cloud vs. On-Premise LLMs","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-02T07:04:42.067093Z"},"links":{"citing_paper":"/paper/2607.13080"},"observation_digest":"sha256:7ba4bc5d7d96d93404f0f09f12f7c76fe4ed924a73c98c0e14c7c49362644ff1","observation_id":"245e991d-b0d9-4231-ad0f-7c1d489e8492","resolution":{"observed_at":"2026-08-02T07:04:42.067093Z","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":"2026-08-02T07:04:42.186922Z","title":"On the impact of programming languages on code quality: A reproduction study,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.13080","last_updated":"2026-07-13T07:04:49Z","snapshot_observed_at":"2026-08-10T17:53:01.761244Z","submitted_at":"2026-07-13T07:04:49Z","title":"Inference Economics of Enterprise Coding Agents: A Case Study of Cloud vs. On-Premise LLMs","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-02T07:04:42.186922Z"},"links":{"citing_paper":"/paper/2607.13080"},"observation_digest":"sha256:bb77b945183726a0ab0b7f0f3429c8b8f99a22b8289ade0a951d2bf04cb2790f","observation_id":"bf71a32f-eb83-4bd7-bea4-3f9aaea9370f","resolution":{"observed_at":"2026-08-02T07:04:42.186922Z","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":"2026-08-02T07:04:42.280828Z","title":"It’s not a bug, it’s a feature: How misclassification impacts bug prediction,","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2607.13080","last_updated":"2026-07-13T07:04:49Z","snapshot_observed_at":"2026-08-10T17:53:01.761244Z","submitted_at":"2026-07-13T07:04:49Z","title":"Inference Economics of Enterprise Coding Agents: A Case Study of Cloud vs. On-Premise LLMs","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-02T07:04:42.280828Z"},"links":{"citing_paper":"/paper/2607.13080"},"observation_digest":"sha256:250e859e62d5260a8d9c7b1bea44c82e8619be4ee5623a7a955601a38e2cdd91","observation_id":"deb75704-6dfb-4300-b993-a468a42d30b3","resolution":{"observed_at":"2026-08-02T07:04:42.280828Z","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":"2026-08-02T07:04:42.363768Z","title":"CodeT: Code generation with generated tests,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.13080","last_updated":"2026-07-13T07:04:49Z","snapshot_observed_at":"2026-08-10T17:53:01.761244Z","submitted_at":"2026-07-13T07:04:49Z","title":"Inference Economics of Enterprise Coding Agents: A Case Study of Cloud vs. On-Premise LLMs","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-02T07:04:42.363768Z"},"links":{"citing_paper":"/paper/2607.13080"},"observation_digest":"sha256:479d0d7463b30daed984d93241d34facf0dbfc54f1c25d72ffe01fcc3a07b19e","observation_id":"51d38e01-5f99-4934-afe7-29e91b9b6c9a","resolution":{"observed_at":"2026-08-02T07:04:42.363768Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.13080","last_updated":"2026-07-13T07:04:49Z","latest_version":1,"primary_category":"cs.SE","snapshot_observed_at":"2026-08-10T17:53:01.761244Z","submitted_at":"2026-07-13T07:04:49Z","title":"Inference Economics of Enterprise Coding Agents: A Case Study of Cloud vs. On-Premise LLMs"},"reference_resolution":{"displayed":37,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":37,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":37},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 1 inbound Pith citation observation for arXiv:2607.13080."}