{"as_of":"2026-08-05T00:24:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4a489eb31e51ea5810b897ced386a7367bce0b15af6c6c24b5b0e7f61c84f430","coverage":[{"denominator":59,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":59,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-08T20:32:18.337262Z","state":"measured"},{"denominator":59,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":59,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-04T06:34:03.388597+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/2607.05936/citation-record","integrity":"/paper/2607.05936/integrity","json":"/paper/2607.05936/citation-record.json","paper":"/paper/2607.05936"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T20:35:34.520287Z","title":"Agrawal, Aditya Kanade, Navin Goyal, Shuvendu K","venue":null,"work_id":"4caf3694-dd9f-42d6-9776-747fc870edaf","year":2023},"citing_paper":{"arxiv_id":"2607.05936","last_updated":"2026-07-07T07:38:28Z","snapshot_observed_at":"2026-08-04T22:56:17.084009Z","submitted_at":"2026-07-07T07:38:28Z","title":"Mitigating Errors in LLM-Generated Web API Invocations via Retrieval-Augmented Generation and Constrained Decoding","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-07-08T20:32:18.337262Z"},"links":{"citing_paper":"/paper/2607.05936"},"observation_digest":"sha256:17a64a962b452223b243b34d392444e65bf8c6ca4d563aa9c9dc509c53845ac0","observation_id":"1460e75e-ec95-4c68-87f1-b27a84af2e78","resolution":{"observed_at":"2026-07-08T20:35:34.521521Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T20:35:34.562557Z","title":null,"venue":null,"work_id":"3e8fe655-88b3-44ab-9fda-c2090793b849","year":2024},"citing_paper":{"arxiv_id":"2607.05936","last_updated":"2026-07-07T07:38:28Z","snapshot_observed_at":"2026-08-04T22:56:17.084009Z","submitted_at":"2026-07-07T07:38:28Z","title":"Mitigating Errors in LLM-Generated Web API Invocations via Retrieval-Augmented Generation and Constrained Decoding","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-08T20:32:18.337262Z"},"links":{"citing_paper":"/paper/2607.05936"},"observation_digest":"sha256:ccf8f44e2408575e16bed0eb35785422480bbd633f637e34b593f5534fff8429","observation_id":"a4eb1d57-a447-4f17-8b95-fb881649ef40","resolution":{"observed_at":"2026-07-08T20:35:34.563977Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":"6630.372856","doi":"10.1145/3696630.3728563","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":null,"venue":null,"work_id":"920f8bef-df2c-47f2-82ce-c86fd31ebd2b","year":2025},"citing_paper":{"arxiv_id":"2607.05936","last_updated":"2026-07-07T07:38:28Z","snapshot_observed_at":"2026-08-04T22:56:17.084009Z","submitted_at":"2026-07-07T07:38:28Z","title":"Mitigating Errors in LLM-Generated Web API Invocations via Retrieval-Augmented Generation and Constrained Decoding","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-08T20:32:18.337262Z"},"links":{"citing_paper":"/paper/2607.05936"},"observation_digest":"sha256:d0d171b4ed432d02e63e514397d66c3b1c62affe89bbf21512b54e8f6f190996","observation_id":"30381776-f0f0-426c-88ec-2aa140d5aa14","resolution":{"observed_at":"2026-07-08T20:35:34.164263Z","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":null,"cited_work":{"arxiv_id":null,"doi":"10.2139/ssrn.4945566","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T20:35:34.074185Z","title":"The effects of generative AI on high-skilled work: Evidence from three field experiments with software developers.Management Science, 2025","venue":null,"work_id":"8f251539-093e-4092-9f5f-2d7417b34f4a","year":2025},"citing_paper":{"arxiv_id":"2607.05936","last_updated":"2026-07-07T07:38:28Z","snapshot_observed_at":"2026-08-04T22:56:17.084009Z","submitted_at":"2026-07-07T07:38:28Z","title":"Mitigating Errors in LLM-Generated Web API Invocations via Retrieval-Augmented Generation and Constrained Decoding","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-08T20:32:18.337262Z"},"links":{"citing_paper":"/paper/2607.05936"},"observation_digest":"sha256:2780ad577c6c6e3f2b53d40133601aca6f6417b99096c448888fd5be6fa94bd3","observation_id":"ce97ff66-21d6-4461-8dbe-2a2d1d166551","resolution":{"observed_at":"2026-07-08T20:35:34.075852Z","resolver_source":"doi","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":"2026-07-11T06:20:36.935793+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T06:20:36.935793+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/k19-1045","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T20:35:34.111242Z","title":null,"venue":null,"work_id":"8a81b781-ff1f-4484-b28d-651c2847f4ba","year":2019},"citing_paper":{"arxiv_id":"2607.05936","last_updated":"2026-07-07T07:38:28Z","snapshot_observed_at":"2026-08-04T22:56:17.084009Z","submitted_at":"2026-07-07T07:38:28Z","title":"Mitigating Errors in LLM-Generated Web API Invocations via Retrieval-Augmented Generation and Constrained Decoding","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-07-08T20:32:18.337262Z"},"links":{"citing_paper":"/paper/2607.05936"},"observation_digest":"sha256:35abecd4108f3c196298467a4e03db41f639d0e636d06bc1deb83f0dbf8ea476","observation_id":"8f36c846-043a-4528-8d15-9c6ee261a83c","resolution":{"observed_at":"2026-07-08T20:35:34.112849Z","resolver_source":"doi","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":"2026-07-11T06:20:37.182561+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T06:20:37.182561+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T20:35:34.560560Z","title":null,"venue":null,"work_id":"ddc98bb4-db37-4c1d-b7f0-4567152ea2ae","year":2025},"citing_paper":{"arxiv_id":"2607.05936","last_updated":"2026-07-07T07:38:28Z","snapshot_observed_at":"2026-08-04T22:56:17.084009Z","submitted_at":"2026-07-07T07:38:28Z","title":"Mitigating Errors in LLM-Generated Web API Invocations via Retrieval-Augmented Generation and Constrained Decoding","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-07-08T20:32:18.337262Z"},"links":{"citing_paper":"/paper/2607.05936"},"observation_digest":"sha256:25584dcae0eac72d5fed0194c12d0840f67fca14579b261e77e989acff8b1899","observation_id":"9396ae4a-fdff-4b23-be7e-7ea0a90ecf0f","resolution":{"observed_at":"2026-07-08T20:35:34.562514Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T20:35:34.557487Z","title":"Ruan, Yaxing Cai, Ziyi Xu, Yilong Zhao, Ruihang Lai, and Tianqi Chen","venue":null,"work_id":"c5c52ccf-5559-4d49-85de-0eea665efbba","year":2025},"citing_paper":{"arxiv_id":"2607.05936","last_updated":"2026-07-07T07:38:28Z","snapshot_observed_at":"2026-08-04T22:56:17.084009Z","submitted_at":"2026-07-07T07:38:28Z","title":"Mitigating Errors in LLM-Generated Web API Invocations via Retrieval-Augmented Generation and Constrained Decoding","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-07-08T20:32:18.337262Z"},"links":{"citing_paper":"/paper/2607.05936"},"observation_digest":"sha256:434bed09ca705a4dc9c292f12f041c08237fb429e94e6e185e7ba4d28881dd0f","observation_id":"2c7e5732-5005-44ed-aaaa-555fc2467485","resolution":{"observed_at":"2026-07-08T20:35:34.559702Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":"2407.06153","doi":"10.48550/arxiv.2407.06153","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Kazem Faghih, Wenxiao Wang, Yize Cheng, Siddhant Bharti, Gaurang Sriramanan, Sriram Balasubrama- nian, Parsa Hosseini, and Soheil Feizi","venue":null,"work_id":"7a48556a-16b0-4b0c-93c5-212d7c6ab27d","year":2024},"citing_paper":{"arxiv_id":"2607.05936","last_updated":"2026-07-07T07:38:28Z","snapshot_observed_at":"2026-08-04T22:56:17.084009Z","submitted_at":"2026-07-07T07:38:28Z","title":"Mitigating Errors in LLM-Generated Web API Invocations via Retrieval-Augmented Generation and Constrained Decoding","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-07-08T20:32:18.337262Z"},"links":{"citing_paper":"/paper/2607.05936"},"observation_digest":"sha256:43cc69cbd0f93bb2c3ebb11652e4e685f14f03de9cbc7fec898846aa1a70d3dc","observation_id":"f6bdca7e-895f-4f14-9a57-e5259a58e65b","resolution":{"observed_at":"2026-07-08T20:35:34.090692Z","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":"2026-07-11T06:20:37.435411+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T06:20:37.435411+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.21783","last_updated":"2024-11-23T23:27:33Z","snapshot_observed_at":"2026-07-06T18:55:11.576666Z","submitted_at":"2024-07-31T17:54:27Z","title":"The Llama 3 Herd of Models","version":3},"cited_work":{"arxiv_id":"2407.21783","doi":"10.1016/s0749-0720(15","metadata_source":"pith","pith_arxiv_id":"2407.21783","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"The Llama 3 Herd of Models","venue":"cs.AI","work_id":"1549a635-88af-4ac1-acfe-51ae7bb53345","year":2024},"citing_paper":{"arxiv_id":"2607.05936","last_updated":"2026-07-07T07:38:28Z","snapshot_observed_at":"2026-08-04T22:56:17.084009Z","submitted_at":"2026-07-07T07:38:28Z","title":"Mitigating Errors in LLM-Generated Web API Invocations via Retrieval-Augmented Generation and Constrained Decoding","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-07-08T20:32:18.337262Z"},"links":{"cited_paper":"/paper/2407.21783","citing_paper":"/paper/2607.05936"},"observation_digest":"sha256:bb1664bde941daf2d3bd6513fe257af3d88c1cc60d023c3e1698465163230493","observation_id":"654f8b0e-8d35-4027-9fa5-12b9ea0894da","resolution":{"observed_at":"2026-07-08T20:35:34.143953Z","resolver_source":"local_arxiv","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":"2406.20060","last_updated":"2024-06-28T17:16:03Z","snapshot_observed_at":"2026-08-03T18:51:17.925610Z","submitted_at":"2024-06-28T17:16:03Z","title":"Applying RLAIF for Code Generation with API-usage in Lightweight LLMs","version":1},"cited_work":{"arxiv_id":"2406.20060","doi":"10.48550/arxiv.2406.20060","metadata_source":"pith","pith_arxiv_id":"2406.20060","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Applying RLAIF for Code Generation with API-usage in Lightweight LLMs , url =","venue":"cs.CL","work_id":"4cda0362-d30c-4b27-9aad-2633ef4b0247","year":2024},"citing_paper":{"arxiv_id":"2607.05936","last_updated":"2026-07-07T07:38:28Z","snapshot_observed_at":"2026-08-04T22:56:17.084009Z","submitted_at":"2026-07-07T07:38:28Z","title":"Mitigating Errors in LLM-Generated Web API Invocations via Retrieval-Augmented Generation and Constrained Decoding","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-07-08T20:32:18.337262Z"},"links":{"cited_paper":"/paper/2406.20060","citing_paper":"/paper/2607.05936"},"observation_digest":"sha256:fe4f3ed370ccbaff81aba25c430a070c89cfd199c2ef0d9f27e0ce76805c5541","observation_id":"de3c8ef4-4dd3-4e82-b798-5deba1b520ac","resolution":{"observed_at":"2026-07-08T20:35:34.168089Z","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":"2026-07-11T06:20:37.926029+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T06:20:37.926029+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.01701","last_updated":"2024-06-19T07:54:15Z","snapshot_observed_at":"2026-07-06T17:11:13.678390Z","submitted_at":"2024-01-03T12:09:43Z","title":"De-Hallucinator: Mitigating LLM Hallucinations in Code Generation Tasks via Iterative Grounding","version":3},"cited_work":{"arxiv_id":"2401.01701","doi":"10.48550/arxiv.2401.01701","metadata_source":"pith","pith_arxiv_id":"2401.01701","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"De-hallucinator: Iterative grounding for llm-based code completion","venue":"cs.SE","work_id":"24f68edd-cd8b-4cc9-87f8-c078cc69dd80","year":2024},"citing_paper":{"arxiv_id":"2607.05936","last_updated":"2026-07-07T07:38:28Z","snapshot_observed_at":"2026-08-04T22:56:17.084009Z","submitted_at":"2026-07-07T07:38:28Z","title":"Mitigating Errors in LLM-Generated Web API Invocations via Retrieval-Augmented Generation and Constrained Decoding","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-08T20:32:18.337262Z"},"links":{"cited_paper":"/paper/2401.01701","citing_paper":"/paper/2607.05936"},"observation_digest":"sha256:3af72de887c1354d01689354bc75717542357f7fda21088fdf3a15855232368e","observation_id":"0699e754-51fe-4d74-954b-9ddee48a9c09","resolution":{"observed_at":"2026-07-08T20:35:34.143133Z","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":"2026-07-11T06:20:38.178926+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T06:20:38.178926+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.03275","last_updated":"2025-05-06T08:05:35Z","snapshot_observed_at":"2026-08-02T14:33:49.158716Z","submitted_at":"2025-05-06T08:05:35Z","title":"RAG-MCP: Mitigating Prompt Bloat in LLM Tool Selection via Retrieval-Augmented Generation","version":1},"cited_work":{"arxiv_id":"2505.03275","doi":"10.48550/arxiv.2505.03275","metadata_source":"pith","pith_arxiv_id":"2505.03275","snapshot_observed_at":"2026-07-10T12:15:01.137692Z","title":"arXiv preprint arXiv:2505.03275 , year=","venue":"cs.AI","work_id":"a17d2b90-a81f-465f-b8f8-558a781a97f0","year":2025},"citing_paper":{"arxiv_id":"2607.05936","last_updated":"2026-07-07T07:38:28Z","snapshot_observed_at":"2026-08-04T22:56:17.084009Z","submitted_at":"2026-07-07T07:38:28Z","title":"Mitigating Errors in LLM-Generated Web API Invocations via Retrieval-Augmented Generation and Constrained Decoding","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-07-08T20:32:18.337262Z"},"links":{"cited_paper":"/paper/2505.03275","citing_paper":"/paper/2607.05936"},"observation_digest":"sha256:1e1a6e5e82686fb37e24899f01c4d093141eaed548ce9419c834097dc1e22c93","observation_id":"c89f0f96-942f-4eaf-bec9-a7e30c65e3b6","resolution":{"observed_at":"2026-07-08T20:35:34.146738Z","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":"2026-07-11T06:20:38.438789+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T06:20:38.438789+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T20:35:34.527573Z","title":"GitClear","venue":null,"work_id":"2506776b-9acf-444a-acfc-32438c853f69","year":2025},"citing_paper":{"arxiv_id":"2607.05936","last_updated":"2026-07-07T07:38:28Z","snapshot_observed_at":"2026-08-04T22:56:17.084009Z","submitted_at":"2026-07-07T07:38:28Z","title":"Mitigating Errors in LLM-Generated Web API Invocations via Retrieval-Augmented Generation and Constrained Decoding","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-07-08T20:32:18.337262Z"},"links":{"citing_paper":"/paper/2607.05936"},"observation_digest":"sha256:1e20c2d1fdffece487139bd78068aa984ce14e31d67660aa4a3a7f5eaedc2c70","observation_id":"b39e2b96-6d4b-4a5d-b765-4a223675e2e8","resolution":{"observed_at":"2026-07-08T20:35:34.529339Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T20:35:34.556358Z","title":"2022.State of JavaScript 2022","venue":null,"work_id":"09e87a28-2269-47b4-b2cf-72b0b3544837","year":2022},"citing_paper":{"arxiv_id":"2607.05936","last_updated":"2026-07-07T07:38:28Z","snapshot_observed_at":"2026-08-04T22:56:17.084009Z","submitted_at":"2026-07-07T07:38:28Z","title":"Mitigating Errors in LLM-Generated Web API Invocations via Retrieval-Augmented Generation and Constrained Decoding","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-07-08T20:32:18.337262Z"},"links":{"citing_paper":"/paper/2607.05936"},"observation_digest":"sha256:b9a4b942935f9082ecb927da8265774183745f85680cc3e0730377c9b546b304","observation_id":"96e119f4-048d-4a35-b10e-30e5429b9bd6","resolution":{"observed_at":"2026-07-08T20:35:34.557838Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2401.14196","last_updated":"2024-01-26T09:23:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-01-25T14:17:53Z","title":"DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence","version":2},"cited_work":{"arxiv_id":"2401.14196","doi":"10.48550/arxiv.2401.14196","metadata_source":"pith","pith_arxiv_id":"2401.14196","snapshot_observed_at":"2026-07-10T16:07:20.294742Z","title":"DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence","venue":"cs.SE","work_id":"f22dae5a-27e2-41d0-a061-c4286418dee3","year":2024},"citing_paper":{"arxiv_id":"2607.05936","last_updated":"2026-07-07T07:38:28Z","snapshot_observed_at":"2026-08-04T22:56:17.084009Z","submitted_at":"2026-07-07T07:38:28Z","title":"Mitigating Errors in LLM-Generated Web API Invocations via Retrieval-Augmented Generation and Constrained Decoding","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-07-08T20:32:18.337262Z"},"links":{"cited_paper":"/paper/2401.14196","citing_paper":"/paper/2607.05936"},"observation_digest":"sha256:d8dc2cb0459a1848685184877d02df688d681baf8355cf5d83e99ad7a0862ff4","observation_id":"8ac07ca6-04b4-4056-b493-3bd427da75c8","resolution":{"observed_at":"2026-07-08T20:35:34.166990Z","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":"2026-07-11T06:20:38.664414+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T06:20:38.664414+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/p17-1141","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T20:35:34.157869Z","title":"In: Barzilay, R., Kan, M.-Y","venue":null,"work_id":"6429511d-256e-4e32-9c8a-b7dd3a0efebb","year":2017},"citing_paper":{"arxiv_id":"2607.05936","last_updated":"2026-07-07T07:38:28Z","snapshot_observed_at":"2026-08-04T22:56:17.084009Z","submitted_at":"2026-07-07T07:38:28Z","title":"Mitigating Errors in LLM-Generated Web API Invocations via Retrieval-Augmented Generation and Constrained Decoding","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-07-08T20:32:18.337262Z"},"links":{"citing_paper":"/paper/2607.05936"},"observation_digest":"sha256:db6161b34deae8598e6f83f5c4145001aae4411a41adc50d37ad136e479e6fd8","observation_id":"e3284402-b610-4f3c-90b6-82ffffa64607","resolution":{"observed_at":"2026-07-08T20:35:34.159114Z","resolver_source":"doi","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":"2026-07-11T06:20:38.903031+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T06:20:38.903031+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2112.05209","last_updated":"2021-12-09T20:49:01Z","snapshot_observed_at":"2026-07-06T12:17:10.684873Z","submitted_at":"2021-12-09T20:49:01Z","title":"Compositional Generalization for Natural Language Interfaces to Web APIs","version":1},"cited_work":{"arxiv_id":"2112.05209","doi":null,"metadata_source":"pith","pith_arxiv_id":"2112.05209","snapshot_observed_at":"2026-07-08T20:35:34.349238Z","title":"Compositional Generalization for Natural Language Interfaces to Web APIs","venue":"cs.CL","work_id":"a0cbf20d-1abf-4de4-9a0d-e078c6cd22d4","year":2021},"citing_paper":{"arxiv_id":"2607.05936","last_updated":"2026-07-07T07:38:28Z","snapshot_observed_at":"2026-08-04T22:56:17.084009Z","submitted_at":"2026-07-07T07:38:28Z","title":"Mitigating Errors in LLM-Generated Web API Invocations via Retrieval-Augmented Generation and Constrained Decoding","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-07-08T20:32:18.337262Z"},"links":{"cited_paper":"/paper/2112.05209","citing_paper":"/paper/2607.05936"},"observation_digest":"sha256:d880815b901d7bf0e8c4738e01c6b85d1a79deea4f195b664969814c744da252","observation_id":"6a66f20b-0a73-42b0-a44d-aa131fa1ad33","resolution":{"observed_at":"2026-07-08T20:35:34.350551Z","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":"2409.12186","last_updated":"2024-11-12T13:24:25Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-09-18T17:57:57Z","title":"Qwen2.5-Coder Technical Report","version":3},"cited_work":{"arxiv_id":"2409.12186","doi":"10.48550/arxiv.2409.12186","metadata_source":"pith","pith_arxiv_id":"2409.12186","snapshot_observed_at":"2026-07-10T16:07:20.290468Z","title":"Qwen2.5-Coder Technical Report","venue":"cs.CL","work_id":"09ba463d-6377-4017-9801-444ffb94b056","year":2024},"citing_paper":{"arxiv_id":"2607.05936","last_updated":"2026-07-07T07:38:28Z","snapshot_observed_at":"2026-08-04T22:56:17.084009Z","submitted_at":"2026-07-07T07:38:28Z","title":"Mitigating Errors in LLM-Generated Web API Invocations via Retrieval-Augmented Generation and Constrained Decoding","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-07-08T20:32:18.337262Z"},"links":{"cited_paper":"/paper/2409.12186","citing_paper":"/paper/2607.05936"},"observation_digest":"sha256:65f3c41ea93c03a12888921ba49ac443b90fb7e1b71d3e189bf613688b9eb647","observation_id":"f30791b4-48ca-49bf-8c6f-e3c9deb69eee","resolution":{"observed_at":"2026-07-08T20:35:34.347743Z","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":"2026-07-11T05:18:55.772185+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T05:18:55.772185+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"6354.2025","doi":"10.1109/icse-seip66354.2025.00008","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"In2025 IEEE/ACM 47th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP)","venue":null,"work_id":"f974a7cc-a937-48d8-a494-7a3824c7bf56","year":2025},"citing_paper":{"arxiv_id":"2607.05936","last_updated":"2026-07-07T07:38:28Z","snapshot_observed_at":"2026-08-04T22:56:17.084009Z","submitted_at":"2026-07-07T07:38:28Z","title":"Mitigating Errors in LLM-Generated Web API Invocations via Retrieval-Augmented Generation and Constrained Decoding","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-07-08T20:32:18.337262Z"},"links":{"citing_paper":"/paper/2607.05936"},"observation_digest":"sha256:21a0b810bc44e3e7d564a2600c06c051042b58340762f214ea53d15ca934e53c","observation_id":"b15ec41f-727b-44a0-afb6-70c60fbc3944","resolution":{"observed_at":"2026-07-08T20:35:34.124272Z","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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T20:35:34.555100Z","title":null,"venue":null,"work_id":"31037392-3ad3-4a62-b036-eb206a8083e0","year":2020},"citing_paper":{"arxiv_id":"2607.05936","last_updated":"2026-07-07T07:38:28Z","snapshot_observed_at":"2026-08-04T22:56:17.084009Z","submitted_at":"2026-07-07T07:38:28Z","title":"Mitigating Errors in LLM-Generated Web API Invocations via Retrieval-Augmented Generation and Constrained Decoding","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-07-08T20:32:18.337262Z"},"links":{"citing_paper":"/paper/2607.05936"},"observation_digest":"sha256:a76c3c764712090595b9cbdee8c03c0c1722c0018e1ade74f1746e4eb41accd5","observation_id":"d2dc3463-c3bb-4aa1-93e1-cf312ee2dc43","resolution":{"observed_at":"2026-07-08T20:35:34.556764Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/2023.emnlp-main.187","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T02:37:45.944101Z","title":"API-Bank : A comprehensive benchmark for tool-augmented LLMs","venue":null,"work_id":"de94520c-2e89-456f-9142-14484d735d11","year":2023},"citing_paper":{"arxiv_id":"2607.05936","last_updated":"2026-07-07T07:38:28Z","snapshot_observed_at":"2026-08-04T22:56:17.084009Z","submitted_at":"2026-07-07T07:38:28Z","title":"Mitigating Errors in LLM-Generated Web API Invocations via Retrieval-Augmented Generation and Constrained Decoding","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-07-08T20:32:18.337262Z"},"links":{"citing_paper":"/paper/2607.05936"},"observation_digest":"sha256:082ceaac22f6c6f9acede4b85c46b949569cb3c02bfeefa5532f5c427fec4acf","observation_id":"85eba6bd-f069-44bf-a54d-a7787ba9e858","resolution":{"observed_at":"2026-07-08T20:35:34.087651Z","resolver_source":"doi","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":"2026-07-11T06:20:39.384523+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T06:20:39.384523+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T20:35:34.563256Z","title":null,"venue":null,"work_id":"ee4c1f3b-d177-4f6c-b9d3-471e62faf8fd","year":2023},"citing_paper":{"arxiv_id":"2607.05936","last_updated":"2026-07-07T07:38:28Z","snapshot_observed_at":"2026-08-04T22:56:17.084009Z","submitted_at":"2026-07-07T07:38:28Z","title":"Mitigating Errors in LLM-Generated Web API Invocations via Retrieval-Augmented Generation and Constrained Decoding","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-07-08T20:32:18.337262Z"},"links":{"citing_paper":"/paper/2607.05936"},"observation_digest":"sha256:4a5c1a9c6918d13d58ae93acd726ba1362bbdda57fa074f7e97a44b40f4350e6","observation_id":"26f6065f-3ccb-45f6-a0b5-7a34e304508d","resolution":{"observed_at":"2026-07-08T20:35:34.564914Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2402.19173","last_updated":"2024-02-29T13:53:35Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-02-29T13:53:35Z","title":"StarCoder 2 and The Stack v2: The Next Generation","version":1},"cited_work":{"arxiv_id":"2402.19173","doi":"10.48550/arxiv.2402.19173","metadata_source":"pith","pith_arxiv_id":"2402.19173","snapshot_observed_at":"2026-07-10T16:07:20.291405Z","title":"StarCoder 2 and The Stack v2: The Next Generation","venue":"cs.SE","work_id":"2495cc72-f326-4c23-8a39-d9a08cf583e4","year":2024},"citing_paper":{"arxiv_id":"2607.05936","last_updated":"2026-07-07T07:38:28Z","snapshot_observed_at":"2026-08-04T22:56:17.084009Z","submitted_at":"2026-07-07T07:38:28Z","title":"Mitigating Errors in LLM-Generated Web API Invocations via Retrieval-Augmented Generation and Constrained Decoding","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-07-08T20:32:18.337262Z"},"links":{"cited_paper":"/paper/2402.19173","citing_paper":"/paper/2607.05936"},"observation_digest":"sha256:1d894334dd01be152c548af35f06604e226b87aeb0ffe2b721504a3cb7accf42","observation_id":"d9ceacfb-f902-485b-973b-688366aebc9a","resolution":{"observed_at":"2026-07-08T20:35:34.121472Z","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":"2026-08-01T05:08:59.344878+00:00","source":"crossref_status_cache"},{"observed_at":"2026-08-01T05:08:59.344878+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/2022.acl-long.431","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T20:35:34.160641Z","title":"cc/paper_files/paper/2020/file/ 6b493230205f780e1bc26945df7481e5-Paper","venue":null,"work_id":"112ea030-c1db-402f-87b1-7c3a47056d86","year":2022},"citing_paper":{"arxiv_id":"2607.05936","last_updated":"2026-07-07T07:38:28Z","snapshot_observed_at":"2026-08-04T22:56:17.084009Z","submitted_at":"2026-07-07T07:38:28Z","title":"Mitigating Errors in LLM-Generated Web API Invocations via Retrieval-Augmented Generation and Constrained Decoding","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-07-08T20:32:18.337262Z"},"links":{"citing_paper":"/paper/2607.05936"},"observation_digest":"sha256:e5f18bc3294b80c27bb2f8b52f326383560e7c1e9c5d9f3beeb5a7d0a2512bd7","observation_id":"de69b9fc-a3db-413b-aaf0-aa2718417729","resolution":{"observed_at":"2026-07-08T20:35:34.161895Z","resolver_source":"doi","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":"2026-07-11T06:20:39.891126+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T06:20:39.891126+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"9974.2025","doi":"10.1109/aiware69974.2025.00026","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"In: 2nd IEEE/ACM International Conference on AI-powered Software, AIware 2025, Seoul, Republic of Korea, November 19-20","venue":null,"work_id":"86fc9f28-be2f-47e8-b368-58d8c1ae0962","year":2025},"citing_paper":{"arxiv_id":"2607.05936","last_updated":"2026-07-07T07:38:28Z","snapshot_observed_at":"2026-08-04T22:56:17.084009Z","submitted_at":"2026-07-07T07:38:28Z","title":"Mitigating Errors in LLM-Generated Web API Invocations via Retrieval-Augmented Generation and Constrained Decoding","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-07-08T20:32:18.337262Z"},"links":{"citing_paper":"/paper/2607.05936"},"observation_digest":"sha256:339cf58677db199659182ffd362e624b8bd2441ba9fd2232bb736569289c9b73","observation_id":"f3e2b313-0c09-4d64-beb8-fa395cbc9c0d","resolution":{"observed_at":"2026-07-08T20:35:34.161905Z","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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T20:35:34.546159Z","title":"2024.API Management Market by Platform, Service – Global Forecast to 2029","venue":null,"work_id":"d5c72f22-220e-4c30-847e-d64bb1a0f585","year":2024},"citing_paper":{"arxiv_id":"2607.05936","last_updated":"2026-07-07T07:38:28Z","snapshot_observed_at":"2026-08-04T22:56:17.084009Z","submitted_at":"2026-07-07T07:38:28Z","title":"Mitigating Errors in LLM-Generated Web API Invocations via Retrieval-Augmented Generation and Constrained Decoding","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-07-08T20:32:18.337262Z"},"links":{"citing_paper":"/paper/2607.05936"},"observation_digest":"sha256:7b129c70e75f42e377e6863bb2635f5a7c41515bccaac2ac3e5dd484044dbd4d","observation_id":"51b93e39-6177-414e-86da-d6cd5a9b8789","resolution":{"observed_at":"2026-07-08T20:35:34.547946Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":"10.1145/3729274","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-10T09:16:59.427301Z","title":"Type- Constrained Code Generation with Language Models","venue":null,"work_id":"ddc64e77-a375-4891-81ee-313559d688ce","year":2025},"citing_paper":{"arxiv_id":"2607.05936","last_updated":"2026-07-07T07:38:28Z","snapshot_observed_at":"2026-08-04T22:56:17.084009Z","submitted_at":"2026-07-07T07:38:28Z","title":"Mitigating Errors in LLM-Generated Web API Invocations via Retrieval-Augmented Generation and Constrained Decoding","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-07-08T20:32:18.337262Z"},"links":{"citing_paper":"/paper/2607.05936"},"observation_digest":"sha256:cdb18e88cd1972a1ecc2b1c953568802801294706f7c3ac4682575029a2fc696","observation_id":"9cdb959a-0a69-438b-a6f7-b4d448132797","resolution":{"observed_at":"2026-07-08T20:35:34.128726Z","resolver_source":"doi","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":"2026-07-18T14:21:13.679308+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-18T14:21:13.679308+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T20:35:34.539572Z","title":null,"venue":null,"work_id":"3610312a-c86b-4072-9623-074c7524d53b","year":2024},"citing_paper":{"arxiv_id":"2607.05936","last_updated":"2026-07-07T07:38:28Z","snapshot_observed_at":"2026-08-04T22:56:17.084009Z","submitted_at":"2026-07-07T07:38:28Z","title":"Mitigating Errors in LLM-Generated Web API Invocations via Retrieval-Augmented Generation and Constrained Decoding","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-07-08T20:32:18.337262Z"},"links":{"citing_paper":"/paper/2607.05936"},"observation_digest":"sha256:95ce477be1148df761cf3400bd78f5555b5c31b05cea67d99f3aa0fd8eaef330","observation_id":"7b41cc61-2364-4882-927f-f330fe1576e4","resolution":{"observed_at":"2026-07-08T20:35:34.540957Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T20:35:34.537360Z","title":null,"venue":null,"work_id":"ed1cc48a-0dce-4c13-af7a-22b93c506a17","year":2024},"citing_paper":{"arxiv_id":"2607.05936","last_updated":"2026-07-07T07:38:28Z","snapshot_observed_at":"2026-08-04T22:56:17.084009Z","submitted_at":"2026-07-07T07:38:28Z","title":"Mitigating Errors in LLM-Generated Web API Invocations via Retrieval-Augmented Generation and Constrained Decoding","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-07-08T20:32:18.337262Z"},"links":{"citing_paper":"/paper/2607.05936"},"observation_digest":"sha256:fd724508be850944cf21b13f0b6ad2a02facbbc7eb804e0c36cbc0807a55635e","observation_id":"6302884e-4122-477f-b4dd-a9e21e4191b7","resolution":{"observed_at":"2026-07-08T20:35:34.538982Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T20:35:34.536854Z","title":"Patil, Tianjun Zhang, Xin Wang, and Joseph E","venue":null,"work_id":"d2a20ab6-8dfb-4184-8c9a-1608a4e88272","year":2024},"citing_paper":{"arxiv_id":"2607.05936","last_updated":"2026-07-07T07:38:28Z","snapshot_observed_at":"2026-08-04T22:56:17.084009Z","submitted_at":"2026-07-07T07:38:28Z","title":"Mitigating Errors in LLM-Generated Web API Invocations via Retrieval-Augmented Generation and Constrained Decoding","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-07-08T20:32:18.337262Z"},"links":{"citing_paper":"/paper/2607.05936"},"observation_digest":"sha256:f21a06f4d5388298b325592520d84bf93eb9533eca150b7fefe98404fe6f05b3","observation_id":"f0efb515-7b61-4dfb-8a55-fd182f348568","resolution":{"observed_at":"2026-07-08T20:35:34.538372Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":"6214.2022","doi":"10.1109/sp46214.2022","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"Spinning Language Models: Risks of Propaganda-As-A-Service and Countermeasures , url=","venue":null,"work_id":"fb02aee4-6896-426b-81d9-d3bf226deddf","year":2022},"citing_paper":{"arxiv_id":"2607.05936","last_updated":"2026-07-07T07:38:28Z","snapshot_observed_at":"2026-08-04T22:56:17.084009Z","submitted_at":"2026-07-07T07:38:28Z","title":"Mitigating Errors in LLM-Generated Web API Invocations via Retrieval-Augmented Generation and Constrained Decoding","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-07-08T20:32:18.337262Z"},"links":{"citing_paper":"/paper/2607.05936"},"observation_digest":"sha256:3151389a226ddcab1799b165ad52f65e0a46368ba7a9a04dd20a55cb8d62286a","observation_id":"7ccdd339-ac81-4541-ad5a-08db248a53a8","resolution":{"observed_at":"2026-07-08T20:35:34.164864Z","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":null,"cited_work":{"arxiv_id":"6915.362315","doi":"10.1145/3576915.3623151","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"Recovering Fingerprints from In-Display Fingerprint Sensors via Electromagnetic Side Channel","venue":null,"work_id":"524c0f5a-3c09-480d-8adb-8d7c1bb974c1","year":2023},"citing_paper":{"arxiv_id":"2607.05936","last_updated":"2026-07-07T07:38:28Z","snapshot_observed_at":"2026-08-04T22:56:17.084009Z","submitted_at":"2026-07-07T07:38:28Z","title":"Mitigating Errors in LLM-Generated Web API Invocations via Retrieval-Augmented Generation and Constrained Decoding","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-07-08T20:32:18.337262Z"},"links":{"citing_paper":"/paper/2607.05936"},"observation_digest":"sha256:b145095e453e516aad482a77d35912c08aa51d9fc9b7e78bc2905955495abcec","observation_id":"d76d98eb-740c-47bc-ab4a-6bfe8dcc5fc6","resolution":{"observed_at":"2026-07-08T20:35:34.150399Z","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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T20:35:34.543697Z","title":null,"venue":null,"work_id":"d77ff352-a8b8-4e60-a271-d74f27388341","year":2022},"citing_paper":{"arxiv_id":"2607.05936","last_updated":"2026-07-07T07:38:28Z","snapshot_observed_at":"2026-08-04T22:56:17.084009Z","submitted_at":"2026-07-07T07:38:28Z","title":"Mitigating Errors in LLM-Generated Web API Invocations via Retrieval-Augmented Generation and Constrained Decoding","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-07-08T20:32:18.337262Z"},"links":{"citing_paper":"/paper/2607.05936"},"observation_digest":"sha256:6f7c0d250c6b325d21e9a0006247d70ebdeb0914e96c1d27b1a602e0d4850675","observation_id":"9915afb1-0bb0-4d1d-a3d5-e23891a2741d","resolution":{"observed_at":"2026-07-08T20:35:34.544953Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":"2024.2024","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T20:35:34.344260Z","title":"2024.2024 Generative AI Red Teaming Transparency Report","venue":null,"work_id":"459669c8-65f4-4244-be27-b50bc9b59a6f","year":2024},"citing_paper":{"arxiv_id":"2607.05936","last_updated":"2026-07-07T07:38:28Z","snapshot_observed_at":"2026-08-04T22:56:17.084009Z","submitted_at":"2026-07-07T07:38:28Z","title":"Mitigating Errors in LLM-Generated Web API Invocations via Retrieval-Augmented Generation and Constrained Decoding","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-07-08T20:32:18.337262Z"},"links":{"citing_paper":"/paper/2607.05936"},"observation_digest":"sha256:63acc49876091bebb98aecefdf453402e97f2e522e8d5d0daeba8c3502c32a3f","observation_id":"cf5ae248-cdc3-433d-b3ca-add28b4a9c3d","resolution":{"observed_at":"2026-07-08T20:35:34.345736Z","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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T20:35:34.534965Z","title":null,"venue":null,"work_id":"8ce3d5ca-4855-40ec-b918-59fb698b8f5d","year":2024},"citing_paper":{"arxiv_id":"2607.05936","last_updated":"2026-07-07T07:38:28Z","snapshot_observed_at":"2026-08-04T22:56:17.084009Z","submitted_at":"2026-07-07T07:38:28Z","title":"Mitigating Errors in LLM-Generated Web API Invocations via Retrieval-Augmented Generation and Constrained Decoding","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-07-08T20:32:18.337262Z"},"links":{"citing_paper":"/paper/2607.05936"},"observation_digest":"sha256:5f419b0a2869b29c175719a7f8c56cd04ce4055e31f0f354ffe959acab23d0a6","observation_id":"d2f125f9-a938-4e10-8689-b8e7c6876a22","resolution":{"observed_at":"2026-07-08T20:35:34.536585Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.cosrev.2019.05.001","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T20:35:34.065492Z","title":null,"venue":null,"work_id":"d07bb8a5-657d-4d56-889a-0f64b544a69d","year":2019},"citing_paper":{"arxiv_id":"2607.05936","last_updated":"2026-07-07T07:38:28Z","snapshot_observed_at":"2026-08-04T22:56:17.084009Z","submitted_at":"2026-07-07T07:38:28Z","title":"Mitigating Errors in LLM-Generated Web API Invocations via Retrieval-Augmented Generation and Constrained Decoding","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-07-08T20:32:18.337262Z"},"links":{"citing_paper":"/paper/2607.05936"},"observation_digest":"sha256:c04bfc3da4f682aec66f9d7727aaa025fcc0a3fc3a22643c21c4dbf0d54a1aa9","observation_id":"00066b7b-7130-4b1d-bddb-fc1b55e2ec6b","resolution":{"observed_at":"2026-07-08T20:35:34.067025Z","resolver_source":"doi","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":"2026-07-11T06:20:41.442355+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T06:20:41.442355+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1109/ms.2009.193","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T20:35:34.135682Z","title":"Robillard","venue":null,"work_id":"95f14215-c46a-494b-a1ef-dc8d2912108f","year":2009},"citing_paper":{"arxiv_id":"2607.05936","last_updated":"2026-07-07T07:38:28Z","snapshot_observed_at":"2026-08-04T22:56:17.084009Z","submitted_at":"2026-07-07T07:38:28Z","title":"Mitigating Errors in LLM-Generated Web API Invocations via Retrieval-Augmented Generation and Constrained Decoding","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-07-08T20:32:18.337262Z"},"links":{"citing_paper":"/paper/2607.05936"},"observation_digest":"sha256:691c786fb9717a71086ae96f0edd5743533702a31bb4fb544e3407c3b1450c52","observation_id":"2db2b629-1d49-42f6-886f-fad40d55cbf2","resolution":{"observed_at":"2026-07-08T20:35:34.136984Z","resolver_source":"doi","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":"2026-07-11T06:20:41.699844+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T06:20:41.699844+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.12950","last_updated":"2024-01-31T19:47:26Z","snapshot_observed_at":"2026-07-06T16:10:07.931347Z","submitted_at":"2023-08-24T17:39:13Z","title":"Code Llama: Open Foundation Models for Code","version":3},"cited_work":{"arxiv_id":"2308.12950","doi":"10.48550/arxiv.2308.12950","metadata_source":"pith","pith_arxiv_id":"2308.12950","snapshot_observed_at":"2026-07-11T03:17:52.238641Z","title":"Code Llama: Open Foundation Models for Code","venue":"cs.CL","work_id":"e73bffa4-7620-47ac-9327-259a60db52ca","year":2023},"citing_paper":{"arxiv_id":"2607.05936","last_updated":"2026-07-07T07:38:28Z","snapshot_observed_at":"2026-08-04T22:56:17.084009Z","submitted_at":"2026-07-07T07:38:28Z","title":"Mitigating Errors in LLM-Generated Web API Invocations via Retrieval-Augmented Generation and Constrained Decoding","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-07-08T20:32:18.337262Z"},"links":{"cited_paper":"/paper/2308.12950","citing_paper":"/paper/2607.05936"},"observation_digest":"sha256:473f6bc12e8cc6a0f7a99c4b43327e235158fd79a328135ee1288236f75f3f7b","observation_id":"a6833865-85ac-416b-a047-5120bbc5800a","resolution":{"observed_at":"2026-07-08T20:35:34.158381Z","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":"2026-07-09T08:48:36.742994+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-09T08:48:36.742994+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T20:35:34.547813Z","title":null,"venue":null,"work_id":"934e59c5-28a4-44e3-a8c6-3445e9c92b42","year":2023},"citing_paper":{"arxiv_id":"2607.05936","last_updated":"2026-07-07T07:38:28Z","snapshot_observed_at":"2026-08-04T22:56:17.084009Z","submitted_at":"2026-07-07T07:38:28Z","title":"Mitigating Errors in LLM-Generated Web API Invocations via Retrieval-Augmented Generation and Constrained Decoding","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-07-08T20:32:18.337262Z"},"links":{"citing_paper":"/paper/2607.05936"},"observation_digest":"sha256:347b55cc2116526f5edbc3a83720bc75abd99ffa8432014918c9f3f06fca6def","observation_id":"6ef12302-69d9-4714-b78d-e9a0e62f4ee6","resolution":{"observed_at":"2026-07-08T20:35:34.549325Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/2021.emnlp-main.779","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T20:35:34.158942Z","title":"doi:10.18653/v1/2021.emnlp-main.779","venue":null,"work_id":"dad7a077-a585-4cae-8ca8-c51c417e7fdb","year":2021},"citing_paper":{"arxiv_id":"2607.05936","last_updated":"2026-07-07T07:38:28Z","snapshot_observed_at":"2026-08-04T22:56:17.084009Z","submitted_at":"2026-07-07T07:38:28Z","title":"Mitigating Errors in LLM-Generated Web API Invocations via Retrieval-Augmented Generation and Constrained Decoding","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-07-08T20:32:18.337262Z"},"links":{"citing_paper":"/paper/2607.05936"},"observation_digest":"sha256:ca187881155d194b413096d855484d72c15236665aeafcc20ef719a5f2ea6992","observation_id":"f1ef54da-6bb7-482f-8bd4-2828a50313d6","resolution":{"observed_at":"2026-07-08T20:35:34.160099Z","resolver_source":"doi","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":"2026-07-11T06:20:41.927635+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T06:20:41.927635+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2212.09946","last_updated":"2022-12-20T01:52:46Z","snapshot_observed_at":"2026-07-06T14:32:44.453180Z","submitted_at":"2022-12-20T01:52:46Z","title":"Dialog2API: Task-Oriented Dialogue with API Description and Example Programs","version":1},"cited_work":{"arxiv_id":"2212.09946","doi":"10.48550/arxiv.2212.09946","metadata_source":"pith","pith_arxiv_id":"2212.09946","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Dialog2API: Task-Oriented Dialogue with API Description and Example Programs","venue":"cs.CL","work_id":"41ec62d8-36ed-47d1-be58-41cfd16a5369","year":2022},"citing_paper":{"arxiv_id":"2607.05936","last_updated":"2026-07-07T07:38:28Z","snapshot_observed_at":"2026-08-04T22:56:17.084009Z","submitted_at":"2026-07-07T07:38:28Z","title":"Mitigating Errors in LLM-Generated Web API Invocations via Retrieval-Augmented Generation and Constrained Decoding","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-07-08T20:32:18.337262Z"},"links":{"cited_paper":"/paper/2212.09946","citing_paper":"/paper/2607.05936"},"observation_digest":"sha256:acdddcd81ba13cbd0c1b7a4b445811be84680c7d5ed417468ba0ff1db884e0dc","observation_id":"61dd3fd9-77c4-41e1-8e59-0bec37fc8a1e","resolution":{"observed_at":"2026-07-08T20:35:34.133144Z","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":"2026-07-11T06:20:42.157407+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T06:20:42.157407+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T20:35:34.533206Z","title":"SmartBear Software","venue":null,"work_id":"0365e2dc-2997-4219-ad74-2bcd3c26314c","year":2020},"citing_paper":{"arxiv_id":"2607.05936","last_updated":"2026-07-07T07:38:28Z","snapshot_observed_at":"2026-08-04T22:56:17.084009Z","submitted_at":"2026-07-07T07:38:28Z","title":"Mitigating Errors in LLM-Generated Web API Invocations via Retrieval-Augmented Generation and Constrained Decoding","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-07-08T20:32:18.337262Z"},"links":{"citing_paper":"/paper/2607.05936"},"observation_digest":"sha256:65ec480dac6042eaa41fc125edc4b875c58c19a5a2182d222c3ffab10745ca48","observation_id":"7fce2cb9-952e-4ad3-a5a3-84baacbf77ee","resolution":{"observed_at":"2026-07-08T20:35:34.534675Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2306.06624","last_updated":"2023-08-27T02:55:36Z","snapshot_observed_at":"2026-07-06T15:41:13.274608Z","submitted_at":"2023-06-11T08:53:12Z","title":"RestGPT: Connecting Large Language Models with Real-World RESTful APIs","version":2},"cited_work":{"arxiv_id":"2306.06624","doi":"10.48550/arxiv.2306.06624","metadata_source":"pith","pith_arxiv_id":"2306.06624","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Restgpt: Connecting large language models with real-world restful apis","venue":"cs.CL","work_id":"77688a33-8925-4f61-972d-6d209fa3ba15","year":2023},"citing_paper":{"arxiv_id":"2607.05936","last_updated":"2026-07-07T07:38:28Z","snapshot_observed_at":"2026-08-04T22:56:17.084009Z","submitted_at":"2026-07-07T07:38:28Z","title":"Mitigating Errors in LLM-Generated Web API Invocations via Retrieval-Augmented Generation and Constrained Decoding","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-07-08T20:32:18.337262Z"},"links":{"cited_paper":"/paper/2306.06624","citing_paper":"/paper/2607.05936"},"observation_digest":"sha256:3e74237b48a98584f1a03cde3c2f7f9959e9626ff6ea80c1c2a0e731c7e31d02","observation_id":"42e2a7e5-39a5-49ab-a73e-4ec9f4557eaf","resolution":{"observed_at":"2026-07-08T20:35:34.156077Z","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":"2026-07-11T06:20:42.438996+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T06:20:42.438996+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T20:35:34.531377Z","title":"2024.Most used programming languages among developers worldwide as of 2024","venue":null,"work_id":"4a852c83-9891-41dc-a590-5a0dbbf88ef0","year":2024},"citing_paper":{"arxiv_id":"2607.05936","last_updated":"2026-07-07T07:38:28Z","snapshot_observed_at":"2026-08-04T22:56:17.084009Z","submitted_at":"2026-07-07T07:38:28Z","title":"Mitigating Errors in LLM-Generated Web API Invocations via Retrieval-Augmented Generation and Constrained Decoding","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-07-08T20:32:18.337262Z"},"links":{"citing_paper":"/paper/2607.05936"},"observation_digest":"sha256:436b93df902c4bf12e56afe97b2ed8192173a71cd7e05cae702bbc6baf5e27dc","observation_id":"543e0f46-1155-4b8f-ad6d-862f81eac2b9","resolution":{"observed_at":"2026-07-08T20:35:34.532584Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":"2847.313300","doi":"10.1145/3132847.3133009","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"Encarnación","venue":null,"work_id":"95eed2d0-834d-40ca-bb82-0938f0187e47","year":2017},"citing_paper":{"arxiv_id":"2607.05936","last_updated":"2026-07-07T07:38:28Z","snapshot_observed_at":"2026-08-04T22:56:17.084009Z","submitted_at":"2026-07-07T07:38:28Z","title":"Mitigating Errors in LLM-Generated Web API Invocations via Retrieval-Augmented Generation and Constrained Decoding","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-07-08T20:32:18.337262Z"},"links":{"citing_paper":"/paper/2607.05936"},"observation_digest":"sha256:583e3fa9d6c661541cbe95bb217caafaa3d843c9715838e71af7248e6d6d2072","observation_id":"578e4038-b738-4de0-8f1c-68b33168c8a1","resolution":{"observed_at":"2026-07-08T20:35:34.130536Z","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":"2026-07-11T06:20:42.739324+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T06:20:42.739324+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"9978.321001","doi":"10.1145/3209978.3210012","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"InThe 41st International ACM SIGIR Conference on Research & Development in Information Retrieval (SIGIR ’18)","venue":null,"work_id":"783a1246-3f5a-4999-b23b-1a3605dfad5b","year":2018},"citing_paper":{"arxiv_id":"2607.05936","last_updated":"2026-07-07T07:38:28Z","snapshot_observed_at":"2026-08-04T22:56:17.084009Z","submitted_at":"2026-07-07T07:38:28Z","title":"Mitigating Errors in LLM-Generated Web API Invocations via Retrieval-Augmented Generation and Constrained Decoding","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-07-08T20:32:18.337262Z"},"links":{"citing_paper":"/paper/2607.05936"},"observation_digest":"sha256:54c17c4122ea38de2e4eca60b4c1c5f7d359bfccfe68c77b36a717a1ba92bc86","observation_id":"681c74c5-3877-4a77-b8d3-9537c2f6c2a1","resolution":{"observed_at":"2026-07-08T20:35:34.153526Z","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":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s10664-025-10614-4","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T20:35:34.117097Z","title":"Desmarais, and Giuliano Antoniol","venue":null,"work_id":"8d2704d6-9aca-4dd2-b608-10d0c21c3c0c","year":2025},"citing_paper":{"arxiv_id":"2607.05936","last_updated":"2026-07-07T07:38:28Z","snapshot_observed_at":"2026-08-04T22:56:17.084009Z","submitted_at":"2026-07-07T07:38:28Z","title":"Mitigating Errors in LLM-Generated Web API Invocations via Retrieval-Augmented Generation and Constrained Decoding","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-07-08T20:32:18.337262Z"},"links":{"citing_paper":"/paper/2607.05936"},"observation_digest":"sha256:ded700f0d69ebe69f59479b56ce3dee7578203abc9ab6812ff192bf6319033e7","observation_id":"bc77d6c6-de24-4574-bdc9-6d9e89559953","resolution":{"observed_at":"2026-07-08T20:35:34.118643Z","resolver_source":"doi","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":"2026-07-11T06:20:43.370511+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T06:20:43.370511+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T20:35:34.549843Z","title":null,"venue":null,"work_id":"775329c1-abf6-4954-8972-8ae5c1761fbd","year":2025},"citing_paper":{"arxiv_id":"2607.05936","last_updated":"2026-07-07T07:38:28Z","snapshot_observed_at":"2026-08-04T22:56:17.084009Z","submitted_at":"2026-07-07T07:38:28Z","title":"Mitigating Errors in LLM-Generated Web API Invocations via Retrieval-Augmented Generation and Constrained Decoding","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-07-08T20:32:18.337262Z"},"links":{"citing_paper":"/paper/2607.05936"},"observation_digest":"sha256:564bf112804293e6db3b3a44996aafc78c43386e717a3c74ffb20ccbb07e028c","observation_id":"492d5e60-7814-4d87-9862-8dad98e4afd8","resolution":{"observed_at":"2026-07-08T20:35:34.552190Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T20:35:34.525422Z","title":null,"venue":null,"work_id":"f6e9169f-6ee8-4ae2-afd1-e36a6088e8ba","year":2023},"citing_paper":{"arxiv_id":"2607.05936","last_updated":"2026-07-07T07:38:28Z","snapshot_observed_at":"2026-08-04T22:56:17.084009Z","submitted_at":"2026-07-07T07:38:28Z","title":"Mitigating Errors in LLM-Generated Web API Invocations via Retrieval-Augmented Generation and Constrained Decoding","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-07-08T20:32:18.337262Z"},"links":{"citing_paper":"/paper/2607.05936"},"observation_digest":"sha256:499eb2fb77d9fc537962efea05228e2e20ba9476ad59d1632a59c6aea2595d57","observation_id":"3f22a58b-0996-41e1-9026-887bc2bc684b","resolution":{"observed_at":"2026-07-08T20:35:34.526972Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T20:35:34.552524Z","title":null,"venue":null,"work_id":"68d62d38-58d0-4ee4-a1c5-8582331a2694","year":2024},"citing_paper":{"arxiv_id":"2607.05936","last_updated":"2026-07-07T07:38:28Z","snapshot_observed_at":"2026-08-04T22:56:17.084009Z","submitted_at":"2026-07-07T07:38:28Z","title":"Mitigating Errors in LLM-Generated Web API Invocations via Retrieval-Augmented Generation and Constrained Decoding","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-07-08T20:32:18.337262Z"},"links":{"citing_paper":"/paper/2607.05936"},"observation_digest":"sha256:fc4414c921782e0b38cde83b3a8230b1bd4ba0d3f3eda117c351ceef7a19495f","observation_id":"c949fbbf-0e3f-44c3-b9b7-8d1d31771298","resolution":{"observed_at":"2026-07-08T20:35:34.554444Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":"1643.361627","doi":"10.1145/3611643.3616271","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"Copiloting the copilots: Fusing large language models with completion engines for automated program repair","venue":null,"work_id":"0a80a3cf-9912-4b81-926a-869a7a52787b","year":2023},"citing_paper":{"arxiv_id":"2607.05936","last_updated":"2026-07-07T07:38:28Z","snapshot_observed_at":"2026-08-04T22:56:17.084009Z","submitted_at":"2026-07-07T07:38:28Z","title":"Mitigating Errors in LLM-Generated Web API Invocations via Retrieval-Augmented Generation and Constrained Decoding","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-07-08T20:32:18.337262Z"},"links":{"citing_paper":"/paper/2607.05936"},"observation_digest":"sha256:a1d0bfafae2fec2b2c742a1a6dffa057bbd19a319e98a51de27880ddd9da4cd1","observation_id":"e2a746f3-d589-4ee3-90c4-7040ca7d7b77","resolution":{"observed_at":"2026-07-08T20:35:34.170123Z","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":"2026-07-11T06:20:43.746113+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T06:20:43.746113+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"5716.348419","doi":"10.1145/3475716.3484193","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"Available: https://doi.org/10.1145/3475716.3484193","venue":null,"work_id":"827636b3-081a-45a0-a23c-f766e0432e03","year":2021},"citing_paper":{"arxiv_id":"2607.05936","last_updated":"2026-07-07T07:38:28Z","snapshot_observed_at":"2026-08-04T22:56:17.084009Z","submitted_at":"2026-07-07T07:38:28Z","title":"Mitigating Errors in LLM-Generated Web API Invocations via Retrieval-Augmented Generation and Constrained Decoding","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-07-08T20:32:18.337262Z"},"links":{"citing_paper":"/paper/2607.05936"},"observation_digest":"sha256:50d92cd3ceb086c3e90fe4fcb10e2491756ab1d5b088486132367cee37b3026c","observation_id":"339a295d-b4b5-4463-987d-d9ea5a38b890","resolution":{"observed_at":"2026-07-08T20:35:34.140923Z","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":"2307.09702","last_updated":"2023-08-19T21:27:51Z","snapshot_observed_at":"2026-07-06T15:55:41.294452Z","submitted_at":"2023-07-19T01:14:49Z","title":"Efficient Guided Generation for Large Language Models","version":4},"cited_work":{"arxiv_id":"2307.09702","doi":"10.48550/arxiv.2307.09702","metadata_source":"pith","pith_arxiv_id":"2307.09702","snapshot_observed_at":"2026-07-10T22:07:38.513339Z","title":"Efficient Guided Generation for Large Language Models","venue":"cs.CL","work_id":"eed83982-64d7-41e1-b7ec-21167ca473d5","year":2023},"citing_paper":{"arxiv_id":"2607.05936","last_updated":"2026-07-07T07:38:28Z","snapshot_observed_at":"2026-08-04T22:56:17.084009Z","submitted_at":"2026-07-07T07:38:28Z","title":"Mitigating Errors in LLM-Generated Web API Invocations via Retrieval-Augmented Generation and Constrained Decoding","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-07-08T20:32:18.337262Z"},"links":{"cited_paper":"/paper/2307.09702","citing_paper":"/paper/2607.05936"},"observation_digest":"sha256:e2beab243cfbd96442a9f0345f4d2b91f23020095e6f30d8e2a9e3fc22e67f45","observation_id":"53cb27a9-1e4f-4b94-bb47-aad107e2645d","resolution":{"observed_at":"2026-07-08T20:35:34.351362Z","resolver_source":"local_arxiv","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":"2026-05-22T13:23:27.209789+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-22T13:23:27.209789+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.16416","last_updated":"2026-04-23T17:36:18Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-03-20T17:59:23Z","title":"Survey on Evaluation of LLM-based Agents","version":2},"cited_work":{"arxiv_id":"2503.16416","doi":"10.48550/arxiv.2503.16416","metadata_source":"pith","pith_arxiv_id":"2503.16416","snapshot_observed_at":"2026-07-10T12:15:01.137692Z","title":"Survey on Evaluation of LLM-based Agents","venue":"cs.AI","work_id":"d9ac1186-88b1-41bd-9bc7-8a0b87e6f305","year":2025},"citing_paper":{"arxiv_id":"2607.05936","last_updated":"2026-07-07T07:38:28Z","snapshot_observed_at":"2026-08-04T22:56:17.084009Z","submitted_at":"2026-07-07T07:38:28Z","title":"Mitigating Errors in LLM-Generated Web API Invocations via Retrieval-Augmented Generation and Constrained Decoding","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-07-08T20:32:18.337262Z"},"links":{"cited_paper":"/paper/2503.16416","citing_paper":"/paper/2607.05936"},"observation_digest":"sha256:92e1ea95239fa4f207c61dd4d5bed27e46ffdcc722f51a6332577ceb2c471a38","observation_id":"f82f0e2c-a1bf-4141-bd57-4049ed9dd4bd","resolution":{"observed_at":"2026-07-08T20:35:34.126774Z","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":"2026-07-11T06:20:44.248546+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T06:20:44.248546+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2025.113934","doi":"10.1016/j.knosys.2025.113934","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":null,"venue":null,"work_id":"114dd47b-2bf8-42b4-96a5-e5e99c6a90fa","year":2025},"citing_paper":{"arxiv_id":"2607.05936","last_updated":"2026-07-07T07:38:28Z","snapshot_observed_at":"2026-08-04T22:56:17.084009Z","submitted_at":"2026-07-07T07:38:28Z","title":"Mitigating Errors in LLM-Generated Web API Invocations via Retrieval-Augmented Generation and Constrained Decoding","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-07-08T20:32:18.337262Z"},"links":{"citing_paper":"/paper/2607.05936"},"observation_digest":"sha256:c30439dee93937df5d8fed89f6d4138e028852698ddecfde88f8000ac27566ea","observation_id":"82e057af-04e0-4cd7-8717-ea3e7c4f1f3d","resolution":{"observed_at":"2026-07-08T20:35:34.135203Z","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":"2026-07-11T06:20:44.561693+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T06:20:44.561693+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/2023.emnlp-main.151","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T05:26:01.082803Z","title":"Repocoder: Repository-level code completion through iterative retrieval and generation","venue":null,"work_id":"91af41bc-747c-4961-bcd6-6e95a294026b","year":2023},"citing_paper":{"arxiv_id":"2607.05936","last_updated":"2026-07-07T07:38:28Z","snapshot_observed_at":"2026-08-04T22:56:17.084009Z","submitted_at":"2026-07-07T07:38:28Z","title":"Mitigating Errors in LLM-Generated Web API Invocations via Retrieval-Augmented Generation and Constrained Decoding","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-07-08T20:32:18.337262Z"},"links":{"citing_paper":"/paper/2607.05936"},"observation_digest":"sha256:7cec510a1038a4964a68daaa9a65871e8ef14aab075b67d4dbf0afed2c04c563","observation_id":"6e878b4c-afa2-4a68-a5c5-00966e8fdcc7","resolution":{"observed_at":"2026-07-08T20:35:34.145301Z","resolver_source":"doi","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":"2026-07-09T08:48:45.105789+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-09T08:48:45.105789+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.07075","last_updated":"2024-06-04T15:50:22Z","snapshot_observed_at":"2026-07-06T16:30:50.253688Z","submitted_at":"2023-10-10T23:37:53Z","title":"Don't Fine-Tune, Decode: Syntax Error-Free Tool Use via Constrained Decoding","version":3},"cited_work":{"arxiv_id":"2310.07075","doi":"10.48550/arxiv.2310.07075","metadata_source":"pith","pith_arxiv_id":"2310.07075","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Don't Fine-Tune, Decode: Syntax Error-Free Tool Use via Constrained Decoding","venue":"cs.CL","work_id":"23903e67-8583-42ac-87be-0297ce63b461","year":2023},"citing_paper":{"arxiv_id":"2607.05936","last_updated":"2026-07-07T07:38:28Z","snapshot_observed_at":"2026-08-04T22:56:17.084009Z","submitted_at":"2026-07-07T07:38:28Z","title":"Mitigating Errors in LLM-Generated Web API Invocations via Retrieval-Augmented Generation and Constrained Decoding","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-07-08T20:32:18.337262Z"},"links":{"cited_paper":"/paper/2310.07075","citing_paper":"/paper/2607.05936"},"observation_digest":"sha256:f808970c47353bdbfe25daa1273a2b3f58b91bb6773358d9f16a97238009dc62","observation_id":"3e0a1b0e-10ed-41a6-b73c-f2707bc5e9c8","resolution":{"observed_at":"2026-07-08T20:35:34.110562Z","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":"2026-07-11T06:20:44.812045+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T06:20:44.812045+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T20:35:34.543954Z","title":"Xu, Zhengbao Jiang, and Graham Neubig","venue":null,"work_id":"0198ff0d-2712-4c5d-8310-833fa70c5660","year":2023},"citing_paper":{"arxiv_id":"2607.05936","last_updated":"2026-07-07T07:38:28Z","snapshot_observed_at":"2026-08-04T22:56:17.084009Z","submitted_at":"2026-07-07T07:38:28Z","title":"Mitigating Errors in LLM-Generated Web API Invocations via Retrieval-Augmented Generation and Constrained Decoding","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-07-08T20:32:18.337262Z"},"links":{"citing_paper":"/paper/2607.05936"},"observation_digest":"sha256:b5c03d6aae4cdfe251b505bf15b435f70c696d6c537fdb4e6dbf01ddab34e59f","observation_id":"fc321da9-ad81-4104-97ee-117ecbb1aef5","resolution":{"observed_at":"2026-07-08T20:35:34.545524Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2309.07804","last_updated":"2023-09-14T15:46:41Z","snapshot_observed_at":"2026-08-03T12:21:46.267236Z","submitted_at":"2023-09-14T15:46:41Z","title":"Pop Quiz! Do Pre-trained Code Models Possess Knowledge of Correct API Names?","version":1},"cited_work":{"arxiv_id":"2309.07804","doi":"10.48550/arxiv.2309.07804","metadata_source":"pith","pith_arxiv_id":"2309.07804","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Pop Quiz! Do Pre-trained Code Models Possess Knowledge of Correct API Names?","venue":"cs.SE","work_id":"72c99463-c46d-469f-8032-49a97051a6d9","year":2023},"citing_paper":{"arxiv_id":"2607.05936","last_updated":"2026-07-07T07:38:28Z","snapshot_observed_at":"2026-08-04T22:56:17.084009Z","submitted_at":"2026-07-07T07:38:28Z","title":"Mitigating Errors in LLM-Generated Web API Invocations via Retrieval-Augmented Generation and Constrained Decoding","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-07-08T20:32:18.337262Z"},"links":{"cited_paper":"/paper/2309.07804","citing_paper":"/paper/2607.05936"},"observation_digest":"sha256:d45f7ec7d3d165903b1df6b383574499ecd74d473318a256c8a379f9927a8aeb","observation_id":"f34b37e2-268f-4bf5-87ee-07d9b5ad9b0f","resolution":{"observed_at":"2026-07-08T20:35:34.076062Z","resolver_source":"local_arxiv","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":"2026-07-11T06:20:45.068892+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T06:20:45.068892+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2607.05936","last_updated":"2026-07-07T07:38:28Z","latest_version":1,"primary_category":"cs.SE","snapshot_observed_at":"2026-08-04T22:56:17.084009Z","submitted_at":"2026-07-07T07:38:28Z","title":"Mitigating Errors in LLM-Generated Web API Invocations via Retrieval-Augmented Generation and Constrained Decoding"},"reference_resolution":{"displayed":59,"state_counts":{"malformed_identifier":0,"metadata_mismatch":10,"parse_uncertain":0,"unresolved":12,"verified_exact":28,"verified_fuzzy":9},"total_outbound_references":59},"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 5 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 0 inbound Pith citation observations for arXiv:2607.05936."}