{"as_of":"2026-08-10T11:34:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3a8b227076899a0d02292f7c245c2b48a269cc9ebfa19776878130fc7859ce4e","coverage":[{"denominator":77,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":77,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T16:26:35.183728Z","state":"measured"},{"denominator":77,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":77,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+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/2507.13555/citation-record","integrity":"/paper/2507.13555/integrity","json":"/paper/2507.13555/citation-record.json","paper":"/paper/2507.13555"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:26:35.968015Z","title":"Analysis of user comments: An approach for software requirements evolution,","venue":null,"work_id":"988f0905-85cf-40ef-98f5-c5e5e4edb7f7","year":2013},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:33.427712Z"},"links":{"citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:a2ad2275d5804c4f461a5911d9f004ee81e8d9c629bcdb7e8fb8c05f1f5f3fd1","observation_id":"3669cd1c-4b58-40f4-8d14-ad230c36a303","resolution":{"observed_at":"2026-08-06T16:26:35.970918Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T16:26:35.959800Z","title":"Fame: supporting continuous requirements elicitation by combining user feedback and monitoring,","venue":null,"work_id":"7534a88b-682e-4331-b152-009d6aefac98","year":2018},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:33.493211Z"},"links":{"citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:1fc2714340c397c7104a6b026ed311d46ae726b1c0c3cad43c93e0fd3dc15f79","observation_id":"594ad67a-8405-48d6-8292-37ab87ab000c","resolution":{"observed_at":"2026-08-06T16:26:35.962561Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T16:26:35.951655Z","title":"Re-swot: From user feedback to require- ments via competitor analysis,","venue":null,"work_id":"fe2eccb7-9fb1-48b4-96b1-63be8b83a826","year":2019},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:33.579802Z"},"links":{"citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:e8be1cc0f825c82637674be8e1b9c97acb8c18756ca441ee3ce4720154ab3261","observation_id":"ac200ede-7dda-4f54-8b01-a8eb0f22503b","resolution":{"observed_at":"2026-08-06T16:26:35.954550Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T16:26:35.943895Z","title":"What would users change in my app? summarizing app reviews for recommending software changes,","venue":null,"work_id":"cce608d4-2fa8-41de-8dfe-9c794788dd3b","year":2016},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:33.691057Z"},"links":{"citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:115e24c71bb84057caf8819ff7d52c6dc0d54c223d0f517d0c58a39df1df8a16","observation_id":"66200e1f-d185-4841-87d8-6c8e2a5e5d21","resolution":{"observed_at":"2026-08-06T16:26:35.946708Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T16:26:35.935218Z","title":"Bug report, feature request, or simply praise? on automatically classifying app reviews,","venue":null,"work_id":"179a3633-2c0a-4ded-9ca6-a7d0871b8766","year":2015},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:33.766371Z"},"links":{"citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:ae30262fe8fb0686d7ee45bd143220058dc7378573698309e9be5b67a4145f03","observation_id":"7ecff7d4-8793-4ef4-ba36-122894146fda","resolution":{"observed_at":"2026-08-06T16:26:35.938424Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T16:26:35.926674Z","title":"Identification and classification of requirements from app user reviews","venue":null,"work_id":"5a5a2620-a73a-4c77-ab70-d169708d4a3a","year":2015},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:33.847464Z"},"links":{"citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:718d7039d5d9b27dbd9198a7de71dbb9b1c6ca5b92a80ee703774e2bef52c6a5","observation_id":"a2bdaab7-2321-422c-a8a9-e332b0890ec2","resolution":{"observed_at":"2026-08-06T16:26:35.929466Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T16:26:35.918759Z","title":"From contract drafting to software specification: Linguistic sources of ambiguity,","venue":null,"work_id":"6e748c67-39e3-46df-aaa3-5eb44b1742f9","year":2003},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:33.931034Z"},"links":{"citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:39b60caa630a29d60707c533f5bc383f7d7778d479d079ee3b4cdaa0ea30428e","observation_id":"dac45f95-fabd-4d7e-bd8a-e13fd3a5375d","resolution":{"observed_at":"2026-08-06T16:26:35.921688Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T16:26:35.910771Z","title":"On the interplay between consistency, completeness, and correctness in requirements evolution,","venue":null,"work_id":"74085875-12b2-4324-8787-60cb1dbc9569","year":2003},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:34.037107Z"},"links":{"citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:21c8f5f73ffeaec82d62c04e461f6c7e899c313f5204ac2d0c40c335725e3e2f","observation_id":"3391797b-58ea-4a1b-85de-35815bd6ad1b","resolution":{"observed_at":"2026-08-06T16:26:35.913568Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T16:26:35.902985Z","title":"Naming the pain in requirements engineering: Contemporary problems, causes, and effects in practice,","venue":null,"work_id":"75a9cd8c-f350-4b58-991c-6f13645fd7fa","year":2017},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:34.109940Z"},"links":{"citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:94f92e8b2c1c29236be010ca505a38f156b83a97f9c29796dad270cf5ca4a232","observation_id":"86735607-5be3-4762-a185-7c2584a81281","resolution":{"observed_at":"2026-08-06T16:26:35.905696Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T16:26:35.894807Z","title":"Software defect reduction top 10 list,","venue":null,"work_id":"2b1a061d-7a63-4b61-ae17-d3917981cf2d","year":2001},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:34.191622Z"},"links":{"citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:cbefa4c512cdae8421ead71a7c412519101fcb6bb6dee0681d0dd31003b3721a","observation_id":"0e7f37fa-de25-4e82-afb2-e251f4fb2bcf","resolution":{"observed_at":"2026-08-06T16:26:35.897739Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:26:34.218684Z","title":"From ideas to expressed needs: an empirical study on the evolution of requirements during elicitation,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:34.218684Z"},"links":{"citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:00f5815bac5d28e210b51780d1fb8af201c7db41d2dd7af8f9c3edad033365ed","observation_id":"07345934-1e01-4fc0-9675-c0137b504cd3","resolution":{"observed_at":"2026-08-06T16:26:34.218684Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:26:35.881250Z","title":"The prevalence and severity of persistent ambiguity in software requirements specifications: Is a special effort needed to find them?","venue":null,"work_id":"01644f4a-9a6e-4743-889d-f237f4464296","year":2020},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:34.353093Z"},"links":{"citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:fe7c66d144762c33bb24e3a1f844eb4d48295c490f2ecc7bdff837cd881ed9b3","observation_id":"ffe734ae-c8fc-4bcd-aa10-52007b32f862","resolution":{"observed_at":"2026-08-06T16:26:35.884101Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T16:26:35.872229Z","title":"Two case studies of open source software development: Apache and mozilla,","venue":null,"work_id":"220cfdc6-85df-40af-acdc-2af679802610","year":2002},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:34.466886Z"},"links":{"citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:bfc44b4841f11b496bf0f4ec81cf21d9a8ebdac050f4a8061d3fc29a2847554c","observation_id":"6e8b2137-909d-446f-8d67-aa910837c6a6","resolution":{"observed_at":"2026-08-06T16:26:35.875264Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T16:26:35.863823Z","title":"How do open source software (oss) developers practice and perceive requirements engineering? an empir- ical study,","venue":null,"work_id":"d342760c-4266-4fd9-b250-4d69bc147be1","year":2015},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:34.550191Z"},"links":{"citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:8f0c719d32e56fc01052f92eb24520213f85f994b5ab24a0986a6f86106afdf0","observation_id":"31380c65-913a-4d41-92af-9f9fabb54cdf","resolution":{"observed_at":"2026-08-06T16:26:35.866573Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T16:26:35.855163Z","title":"Free/libre open- source software development: What we know and what we do not know,","venue":null,"work_id":"71f17293-3e1b-433e-b922-e18316b0275b","year":2008},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:34.699702Z"},"links":{"citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:8f2210fe4c18cd7631eda01c11096121ea870db8b900d2852eceeb245a365a71","observation_id":"e5060367-c80f-4f3a-9c51-39e75939ee2c","resolution":{"observed_at":"2026-08-06T16:26:35.858547Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T16:26:35.846650Z","title":"A framework analysis of the open source development paradigm, 2000","venue":null,"work_id":"2d09c40f-63e1-415a-b263-43d456ad299c","year":2000},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:34.819554Z"},"links":{"citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:fb87ee8aec90e6ccfb8bf514cfc69f92623a32a4a5b4a7fe5a718884fbd5ab26","observation_id":"634d0411-cec7-468c-806f-35c609664ecb","resolution":{"observed_at":"2026-08-06T16:26:35.849760Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T16:26:35.838159Z","title":"Motivation, governance, and the viability of hybrid forms in open source software development,","venue":null,"work_id":"a7d9a9cd-1d1e-43c5-9f9e-16fb3db48f51","year":2006},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:34.980162Z"},"links":{"citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:3f46901c473de307ac9020797ff4c04b160b4f99fb2b7e86b9db4eadb39dc888","observation_id":"9c669006-2c8a-4e62-85d4-8d0b11d1823a","resolution":{"observed_at":"2026-08-06T16:26:35.841142Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:26:35.025095Z","title":"The social structure of free and open source software development,","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:35.025095Z"},"links":{"citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:05c476d84c59c23fc58c20cce1adcfb246cbb763e0addebf4ab0e9fdf484bf03","observation_id":"19df92d7-353b-4ff8-8402-c7e4cbc09ad1","resolution":{"observed_at":"2026-08-06T16:26:35.025095Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:26:35.824767Z","title":"Inquiry-based requirements analysis,","venue":null,"work_id":"ab303db4-6e36-42ca-ac2a-d8f6db752e9a","year":1994},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:35.028117Z"},"links":{"citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:2142470fc155f8d6919d74fd9a47f804c3dc0606e33681853fb2fc6ee6473048","observation_id":"ad020d1f-b201-4712-9816-283aca5a3e1d","resolution":{"observed_at":"2026-08-06T16:26:35.827522Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T16:26:35.816720Z","title":"Data and resources,","venue":null,"work_id":"1302d909-28c8-4754-a1ed-c2972164fb35","year":2025},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:35.030439Z"},"links":{"citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:66d6e4c61863e373ccbec3fc7a724b29da6fd1f2b047cd55d8e6a8686dfde47c","observation_id":"c4f883bf-1b3a-4577-afd7-02aea32e87d9","resolution":{"observed_at":"2026-08-06T16:26:35.819618Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:26:35.033319Z","title":"Attention is all you need,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:35.033319Z"},"links":{"citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:b231feab895d15765ce11a858d40cbe57ac3b9590246d61b235a3435e69fc3b0","observation_id":"1c8ad675-999d-4985-874d-5d275095be7e","resolution":{"observed_at":"2026-08-06T16:26:35.033319Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:26:35.803296Z","title":"A survey on evaluation of large language models,","venue":null,"work_id":"e4448b48-3182-4d55-b026-0498ad94ef90","year":2024},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:35.035742Z"},"links":{"citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:a2062c635cb69ba22d747e40e158d5015afe2d85a6c4b42d35163df4999e3206","observation_id":"1685c591-1f16-4a18-946f-9798d46160d6","resolution":{"observed_at":"2026-08-06T16:26:35.806041Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.18223","last_updated":"2026-03-18T05:34:39Z","snapshot_observed_at":"2026-08-06T23:27:24.356320Z","submitted_at":"2023-03-31T17:28:46Z","title":"A Survey of Large Language Models","version":19},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.18223","snapshot_observed_at":"2026-08-06T16:26:35.038281Z","title":"A survey of large language models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:35.038281Z"},"links":{"cited_paper":"/paper/2303.18223","citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:7b1368789606471c31939ba911aff7ba2a91bd885885e34806698ba86d0d42cf","observation_id":"d94708d0-59f7-4250-9585-1593f516c741","resolution":{"observed_at":"2026-08-06T16:26:35.038281Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:26:35.040937Z","title":"Bert: Pre-training of deep bidirectional transformers for language understanding,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:35.040937Z"},"links":{"citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:327132d6f01f81d5ff87947d1ad05e4fb9e31f1e4c43bf10195e05f427bbb5e3","observation_id":"4017a611-473d-4077-bcb3-6e6a837cc80c","resolution":{"observed_at":"2026-08-06T16:26:35.040937Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:26:35.043691Z","title":"Large language models for software engi- neering: A systematic literature review,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:35.043691Z"},"links":{"citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:b4b8ae8cd65a4b53f8a7e8d1b96bdf3705befbbdaa8abc10934f49448882c822","observation_id":"ab27ac63-d092-4fb2-a9ae-78e4ad7861d4","resolution":{"observed_at":"2026-08-06T16:26:35.043691Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:26:35.784015Z","title":"Pre- train, prompt, and predict: A systematic survey of prompting methods in natural language processing,","venue":null,"work_id":"8319f860-c0e1-4b47-a58b-0e1bd6ccb329","year":2023},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:35.046723Z"},"links":{"citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:8881237865e380aa56283f884046f111a0c7d165dc22a43877e946b98aca56ea","observation_id":"5f45e2a9-1fb2-41a8-ad9f-57bce73f430b","resolution":{"observed_at":"2026-08-06T16:26:35.786680Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T16:26:35.776248Z","title":"Language models are unsupervised multitask learners,","venue":null,"work_id":"b2fe7a01-8d5a-4c2d-8c73-f1b4e525eb7b","year":2019},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:35.049573Z"},"links":{"citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:24f8d14d5bfa228d3bf7401e50d504bd14e1465ef43949de6f52085894810d7e","observation_id":"d4e67225-806a-44f4-b16a-bdda2db731ce","resolution":{"observed_at":"2026-08-06T16:26:35.778835Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.12994","last_updated":"2024-07-24T03:53:41Z","snapshot_observed_at":"2026-07-06T18:48:08.251086Z","submitted_at":"2024-07-17T20:23:19Z","title":"A Survey of Prompt Engineering Methods in Large Language Models for Different NLP Tasks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.12994","snapshot_observed_at":"2026-08-06T16:26:35.052035Z","title":"A survey of prompt engineering meth- ods in large language models for different nlp tasks,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:35.052035Z"},"links":{"cited_paper":"/paper/2407.12994","citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:7648ab3b424eb34cc65d8f48d8e811fbe8f789ff492982d8ef9108879c7b9bda","observation_id":"2dde3a87-f714-4739-8d98-b3a57938d4c0","resolution":{"observed_at":"2026-08-06T16:26:35.052035Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2203.02155","last_updated":"2022-03-04T07:04:42Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-03-04T07:04:42Z","title":"Training language models to follow instructions with human feedback","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.02155","snapshot_observed_at":"2026-08-06T16:26:35.054778Z","title":"Training language models to follow instructions with human feedback,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:35.054778Z"},"links":{"cited_paper":"/paper/2203.02155","citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:634c77d6fb723ff60057bada8e5b7f730563ca7e0c6e7f479f87c11bfb0225a6","observation_id":"67a4902b-e62c-4b7f-bb5d-1b9661387e13","resolution":{"observed_at":"2026-08-06T16:26:35.054778Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:26:35.768685Z","title":"Language mod- els are few-shot learners,","venue":null,"work_id":"1f373d58-df10-4c65-a76d-12be68548c96","year":1901},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:35.058131Z"},"links":{"citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:7a99b3044e0dcb46ca9d6aea632b69b3c9765107bfa35d0ea17c83bbd8ae39a1","observation_id":"4ead99fb-bd3d-4cec-87a5-2b5c867a2d44","resolution":{"observed_at":"2026-08-06T16:26:35.771182Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00234","last_updated":"2024-10-05T11:47:02Z","snapshot_observed_at":"2026-07-06T14:36:25.690733Z","submitted_at":"2022-12-31T15:57:09Z","title":"A Survey on In-context Learning","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.00234","snapshot_observed_at":"2026-08-06T16:26:35.060723Z","title":"A survey on in-context learning,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:35.060723Z"},"links":{"cited_paper":"/paper/2301.00234","citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:c443e811e0ad9b743cafefc72661ef87aaca32eb75d43b7c12de3ae3d3cc0210","observation_id":"4fc6ca2d-2f03-4bd1-95af-8ea8c67df45d","resolution":{"observed_at":"2026-08-06T16:26:35.060723Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:26:35.760730Z","title":"True few-shot learning with language models,","venue":null,"work_id":"4ce1fa86-e1d6-4068-9913-68363e89f778","year":2021},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:35.063434Z"},"links":{"citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:eff41da0474af9e7103f56b3c537ee0873689af172d52a51447e5694e5562d1c","observation_id":"b59194bd-8b22-4e2a-a549-9610f23ed721","resolution":{"observed_at":"2026-08-06T16:26:35.763624Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.11254","last_updated":"2024-06-24T08:34:56Z","snapshot_observed_at":"2026-08-09T17:44:41.039299Z","submitted_at":"2024-02-17T11:28:08Z","title":"C-ICL: Contrastive In-context Learning for Information Extraction","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.11254","snapshot_observed_at":"2026-08-06T16:26:35.066390Z","title":"C- icl: contrastive in-context learning for information extraction,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:35.066390Z"},"links":{"cited_paper":"/paper/2402.11254","citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:72f1ce1cfda1224a46f7611d86a116616bec08b0946f35989467e3ad1ae76572","observation_id":"170493a7-615f-41d0-a268-77b8e4f05b7d","resolution":{"observed_at":"2026-08-06T16:26:35.066390Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.11042","last_updated":"2023-06-05T17:49:58Z","snapshot_observed_at":"2026-08-09T09:49:18.567131Z","submitted_at":"2023-02-21T22:47:45Z","title":"In-context Example Selection with Influences","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.11042","snapshot_observed_at":"2026-08-06T16:26:35.069269Z","title":"In-context example selection with influences,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:35.069269Z"},"links":{"cited_paper":"/paper/2302.11042","citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:35ea0b1ac293a585917227c5659bb30f7bf85a08bd5b1b65a01eb90b06019ab8","observation_id":"91a7e646-08e9-4675-9b6a-b21bb84855e4","resolution":{"observed_at":"2026-08-06T16:26:35.069269Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.12576","last_updated":"2024-04-19T01:58:24Z","snapshot_observed_at":"2026-07-06T18:02:28.133745Z","submitted_at":"2024-04-19T01:58:24Z","title":"Requirements Satisfiability with In-Context Learning","version":1},"cited_work":{"arxiv_id":"2404.12576","doi":null,"metadata_source":"pith","pith_arxiv_id":"2404.12576","snapshot_observed_at":"2026-08-06T16:26:35.345419Z","title":"Requirements Satisfiability with In-Context Learning","venue":"cs.SE","work_id":"ed040714-2199-4c48-b40f-a8a286e9a2c4","year":2024},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:35.072056Z"},"links":{"cited_paper":"/paper/2404.12576","citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:7d605cd02261d4733f054a6b5a53316983ab1cf346385048739e62719e22a04b","observation_id":"22f73e97-1cea-4fc0-bed7-d978ebd249ec","resolution":{"observed_at":"2026-08-06T16:26:35.348545Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T16:26:35.752146Z","title":"Pohl, Requirements engineering: An overview","venue":null,"work_id":"43cb77ef-9e82-42f9-894a-ed0fcce61a59","year":1996},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:35.074769Z"},"links":{"citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:35b142e5b6dc3995b363318c98e8063b6a2186090ade345f1190bd3b40d0a95b","observation_id":"868328be-45be-4f6b-9210-c93677be8c28","resolution":{"observed_at":"2026-08-06T16:26:35.755044Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T16:26:35.743802Z","title":"Using domain-specific corpora for improved handling of ambiguity in requirements,","venue":null,"work_id":"ee9b2463-c6c1-4253-8845-c654067bb2ac","year":2021},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:35.077362Z"},"links":{"citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:e42f236ec76afb05bb7eae808cfd47e137f93469e155828cf16b15aed6b7e452","observation_id":"90353bd3-6cce-403b-883e-cf0e96c5c62c","resolution":{"observed_at":"2026-08-06T16:26:35.746813Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T16:26:35.735865Z","title":"Ambiguity in requirements specification,","venue":null,"work_id":"4f0ecfc7-f528-4fbf-a30f-443ecea99343","year":2004},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:35.079720Z"},"links":{"citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:9c596c0e27cc0f88e67ea7145bc839d6e38e99b8667bbc6384872e9201e36f64","observation_id":"e85e8d6b-1b1b-4905-b9c0-fa0b41d5528a","resolution":{"observed_at":"2026-08-06T16:26:35.738586Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T16:26:35.728584Z","title":"Verifying and validating software requirements and design specifications,","venue":null,"work_id":"8fdd3c13-12f6-4e9e-b149-eeb8e07bf5ec","year":1984},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:35.082516Z"},"links":{"citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:d1c79564be8388c5a412dc99040484971b9f60fe8283b014704e86dce82cc4fd","observation_id":"947e3e5f-c92d-45c8-8883-c8029b5f84dd","resolution":{"observed_at":"2026-08-06T16:26:35.731165Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T16:26:35.719840Z","title":"Ambiguity in Natural Language Software Requirements: A Case Study,","venue":null,"work_id":"88de5c9b-3655-4f49-bf32-c97464cc9239","year":2010},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:35.085029Z"},"links":{"citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:2d9697e20ffbff668273acc514fb91624ea59f7e0bf89e7b10cf9666ba8731d5","observation_id":"52ce41f1-8e02-4ec4-aa71-d65a58e3ad31","resolution":{"observed_at":"2026-08-06T16:26:35.723519Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T16:26:35.707953Z","title":null,"venue":null,"work_id":"bf00ea0c-67aa-4e9e-a3cb-f207bdf3af37","year":2010},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:35.087832Z"},"links":{"citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:a679c14f1a5585717ada45da396e562a776bf4bd95e156b265b3568737af36d9","observation_id":"fa46436a-eb5a-46e2-9b52-9c9a930c971b","resolution":{"observed_at":"2026-08-06T16:26:35.711933Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T16:26:35.695824Z","title":"Requirement ambiguity not as important as expected—results of an empirical evaluation,","venue":null,"work_id":"1faa9913-34e2-4708-b46b-4894bd82b2d1","year":2013},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:35.090688Z"},"links":{"citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:bc4591a5f69534757c91d5ad569174a94fae3ae4b43dedf20b85dd04d48fd853","observation_id":"bdcfcbd1-9569-499f-9dc5-5ba7286fe239","resolution":{"observed_at":"2026-08-06T16:26:35.699794Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T16:26:35.684276Z","title":"A framework for quality assessment of just-in-time requirements: the case of open source feature requests,","venue":null,"work_id":"e78c7df0-7059-4820-b297-41634cca77fd","year":2017},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:35.093238Z"},"links":{"citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:c63dd2e73411b9201195c005da1390a67e841394cde7bfb37110f9a53b07f060","observation_id":"cce9e40e-1ff3-4c33-bb83-f698a983e28b","resolution":{"observed_at":"2026-08-06T16:26:35.688156Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T16:26:35.672901Z","title":"Rule-based nlp vs chatgpt in ambiguity detection, a preliminary study,","venue":null,"work_id":"245fc973-da06-4018-8747-af5b858772b7","year":2023},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:35.095653Z"},"links":{"citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:80f94baa2037d2e069f23c50d734bdf189ac77fc8d351832aca5ea042112dc79","observation_id":"09defad1-0325-46e1-8e0c-f49c950c08d3","resolution":{"observed_at":"2026-08-06T16:26:35.676460Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T16:26:35.660824Z","title":"Automated handling of anaphoric ambiguity in requirements: A multi-solution study,","venue":null,"work_id":"cb3f9991-81c2-49de-b053-de21f2f4c2af","year":2022},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:35.098135Z"},"links":{"citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:7c6c20467f74a8edadbb705bc5c8d3a3ff130208c8bbc65e88c8bd41671c9215","observation_id":"b0a98497-2717-4748-877f-a6b86511e590","resolution":{"observed_at":"2026-08-06T16:26:35.664729Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T16:26:35.649193Z","title":"Addressing lexical and semantic ambiguity in natural language requirements,","venue":null,"work_id":"99c87f46-83ac-4c3f-b213-c176fef6a785","year":2018},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:35.100550Z"},"links":{"citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:794d61af556fe0375ede02bc50b53b9c2c62d37ad3e82c602db86bcfa8fa9169","observation_id":"634462ef-282f-4989-9f84-980b6db60a94","resolution":{"observed_at":"2026-08-06T16:26:35.653140Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:26:35.102878Z","title":"Rapid quality assurance with requirements smells,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:35.102878Z"},"links":{"citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:057aabb76a9ab2b08f91923eeee8037e52710a76afa0456f4e7a934f3ad34eef","observation_id":"d711839d-5d92-4177-a1b1-17e3934615a0","resolution":{"observed_at":"2026-08-06T16:26:35.102878Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:26:35.630821Z","title":"Detecting requirements defects with nlp patterns: an industrial experience in the railway domain,","venue":null,"work_id":"1b0aa5b5-390f-4bd4-b07e-aa6d360d5b00","year":2018},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:35.105353Z"},"links":{"citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:9d7156f88748ccae9272990f6c1d38cf8c1d79b3ae67e7f5b4bf1b642d74202b","observation_id":"3336c578-d079-4289-a79d-c7d86f70008c","resolution":{"observed_at":"2026-08-06T16:26:35.634754Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T16:26:35.618979Z","title":"Automatic detection of nocuous coordination ambiguities in natural language requirements,","venue":null,"work_id":"1045fa81-46a1-4f9d-bff6-95ac8f4f293d","year":2010},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:35.107991Z"},"links":{"citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:8db948b900b9977b3742f0120bbdbbfbc1144c6b2b7c506526f7e249356b3c76","observation_id":"b12ae0fb-cce0-44ff-bdab-4c70b053be21","resolution":{"observed_at":"2026-08-06T16:26:35.623005Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T16:26:35.608230Z","title":"Ambiguity detection: Towards a tool explaining ambiguity sources,","venue":null,"work_id":"a7b13b31-d613-4a09-a740-43a67a02f1ae","year":2010},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:35.110158Z"},"links":{"citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:203eca36ca26a9a9158c9ee434a59541a5bd896fb75d3224f1dd73f61ba8cf57","observation_id":"8f457a61-9cfb-4ae5-beca-1427a20df10d","resolution":{"observed_at":"2026-08-06T16:26:35.612385Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T16:26:35.596926Z","title":"Nero: A text-based tool for content annotation and detection of smells in feature requests,","venue":null,"work_id":"ddbd3e8b-deaf-4d88-9ac2-f09a981ace2c","year":2020},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:35.112925Z"},"links":{"citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:17459a1747528b4faaa5b801aec44e4e8b3ed439010706b6b35a8ac7a3b5c16d","observation_id":"4e009d21-4733-443b-beed-ed3940b78691","resolution":{"observed_at":"2026-08-06T16:26:35.601479Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T16:26:35.585822Z","title":"Detecting bad smells in use case de- scriptions,","venue":null,"work_id":"70dcd7ef-47c9-4078-aa1e-0ccd0bcab42c","year":2019},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:35.115397Z"},"links":{"citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:857aae20d63e609cbfdc12c1f94eb613fab544527cbbe13a276f515d3d66e34d","observation_id":"387467e9-c6de-44d6-afa0-b75c68efa755","resolution":{"observed_at":"2026-08-06T16:26:35.589647Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T16:26:35.574412Z","title":"An empirical study on the potential usefulness of domain models for completeness checking of requirements,","venue":null,"work_id":"bc5a93fc-7488-4bb0-be02-849c2bcdef9c","year":2019},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:35.118083Z"},"links":{"citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:d3e5204ddf3926e62760cf425338aa57a3744d41342ff02e1206884f02d720a9","observation_id":"5fbd25fe-b043-4ab3-b600-2617a7494d79","resolution":{"observed_at":"2026-08-06T16:26:35.577792Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:26:35.120445Z","title":"Improving requirements completeness: Automated assistance through large language models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:35.120445Z"},"links":{"citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:326a7be9e1c3869daad8c303474c9add5b07edffd2b24c93321bdf44e2bef632","observation_id":"39e594ad-5acc-4014-a66c-0146033cd61c","resolution":{"observed_at":"2026-08-06T16:26:35.120445Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:26:35.556262Z","title":"Reqcompletion: Domain-enhanced automatic completion for software requirements,","venue":null,"work_id":"82fa304e-f859-446a-82c7-9f47e7dd8c69","year":2024},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:35.122874Z"},"links":{"citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:b9d9ca1cd0acd9169a286a7e7197975232b27b238ab68a0b79a0cc496f29dce6","observation_id":"fb8d5541-fa9d-4e55-be3d-b220e601e5f7","resolution":{"observed_at":"2026-08-06T16:26:35.559599Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T16:26:35.545388Z","title":"Automated smell detection and recommendation in natural language requirements,","venue":null,"work_id":"634dae4d-d18e-4b2e-9e65-45371c090542","year":2024},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:35.125274Z"},"links":{"citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:9d84a9d439769e4e5d5b0c6e51285458df42c38f12b3817d6d26520c2329d280","observation_id":"7c25f9c8-8810-4a39-8363-62178054ab4b","resolution":{"observed_at":"2026-08-06T16:26:35.549687Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"9125.20891","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:26:35.329732Z","title":"Free/libre open-source software development: What we know and what we do not know,","venue":null,"work_id":"547d901e-6b1d-411f-b088-db31943ee83b","year":2008},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:35.127863Z"},"links":{"citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:076b1a8ae05cf9950c7dd5fb0b82a9a293a847b6e694438c838ef2dd720c6514","observation_id":"597ae7d3-c3ad-4333-b866-e889f81ff3a3","resolution":{"observed_at":"2026-08-06T16:26:35.337104Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T16:26:35.534982Z","title":"An analysis of requirements evolution in open source projects: Recommendations for issue trackers,","venue":null,"work_id":"20b7ba9c-fdfc-4e6e-a748-79823ad8e406","year":2013},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:35.130652Z"},"links":{"citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:e7d11c4fb6705dc25a6c17fe1a6723adccb1bf2ebd64bbbe2970b57e4a17c237","observation_id":"7b10267c-fb44-4042-9455-46bc50b97f39","resolution":{"observed_at":"2026-08-06T16:26:35.538333Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T16:26:35.525270Z","title":"Towards utility-based prioritization of requirements in open source environments,","venue":null,"work_id":"8844eeb8-f190-44cc-b464-3ef312ac7503","year":2018},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:35.133482Z"},"links":{"citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:7086f1c1797b4441bfdb77aa2c484a60498119e82803360001b566353e717c57","observation_id":"767e897c-c529-4264-87a9-0dfca9189798","resolution":{"observed_at":"2026-08-06T16:26:35.528659Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T16:26:35.507932Z","title":"How do open source software (oss) developers practice and perceive requirements engineering? an empir- ical study,","venue":null,"work_id":"9d6783ba-2ea7-43f3-ba72-4f2e97c8f625","year":2015},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:35.136095Z"},"links":{"citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:ac6f2eaa4c28e114b1cde7ac722aed60242e68223238966e66c8fa142c747178","observation_id":"526d1280-c089-433f-ade6-3254fc70a87c","resolution":{"observed_at":"2026-08-06T16:26:35.517055Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T16:26:35.499888Z","title":"Social networking meets software development: Perspectives from github, msdn, stack exchange, and topcoder,","venue":null,"work_id":"15832edd-69f4-469b-9402-8e12b065f9d0","year":2013},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:35.138518Z"},"links":{"citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:2fcd5bed024a4bdddfce3789822cfddacc012363f1afc2f64229b3ac9e244fc8","observation_id":"b8e0a894-4fb7-4072-84ad-dfdc00bbe0fb","resolution":{"observed_at":"2026-08-06T16:26:35.502757Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T16:26:35.491735Z","title":"Using bug descriptions to reformulate queries during text-retrieval-based bug localization,","venue":null,"work_id":"ae49d268-ffe8-47b0-9088-22cdbdca09eb","year":2019},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:35.141027Z"},"links":{"citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:ca08cc07bbf78fda97a72ae07d75f866fe975672f08d20464be644727a8bc648","observation_id":"7761a3f2-2fb7-45b1-b3f5-5e42fb2a8318","resolution":{"observed_at":"2026-08-06T16:26:35.494481Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.04251","last_updated":"2025-02-06T17:40:53Z","snapshot_observed_at":"2026-08-09T10:01:55.630519Z","submitted_at":"2025-02-06T17:40:53Z","title":"Combining Language and App UI Analysis for the Automated Assessment of Bug Reproduction Steps","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.04251","snapshot_observed_at":"2026-08-06T16:26:35.144094Z","title":"Com- bining language and app ui analysis for the automated assessment of bug reproduction steps,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:35.144094Z"},"links":{"cited_paper":"/paper/2502.04251","citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:128a7cf9d240380feeacc5ea244739577cfb87aae18589362ad58bc36a629184","observation_id":"7e4e2bb8-4b5a-4c4a-b23c-b50fc66b0746","resolution":{"observed_at":"2026-08-06T16:26:35.144094Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:26:35.146935Z","title":"Who should fix this bug?","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:35.146935Z"},"links":{"citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:cb961d735a781ed7ee6430297697a3b28a23e6633b024351ee35d32e697abae5","observation_id":"c57383ef-a7cc-48d1-ba5f-5c49bc2cbc0c","resolution":{"observed_at":"2026-08-06T16:26:35.146935Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:26:35.476575Z","title":"What makes a good bug report?","venue":null,"work_id":"eb622b85-11ba-44da-9e15-ac5c6412c01a","year":2008},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:35.149775Z"},"links":{"citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:f85943f9c1ea9430ba61c5507d612e448842477d1dfab74931c1222859eb13db","observation_id":"4d2f868d-ac71-44d3-9561-c0d6b7e56b34","resolution":{"observed_at":"2026-08-06T16:26:35.479829Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.06770","last_updated":"2024-11-11T23:05:04Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-10-10T16:47:29Z","title":"SWE-bench: Can Language Models Resolve Real-World GitHub Issues?","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.06770","snapshot_observed_at":"2026-08-06T16:26:35.152325Z","title":"SWE-bench: Can language models resolve real-world github issues?","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:35.152325Z"},"links":{"cited_paper":"/paper/2310.06770","citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:526052e6784e1e201939f965dcb971ab8f014617ee9f429bdcc9498a9bdbc068","observation_id":"0687f05b-c9c6-41f2-a61e-fdd0a3b4e6c6","resolution":{"observed_at":"2026-08-06T16:26:35.152325Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:26:35.468870Z","title":"Basics of qualitative research: Techniques and procedures for developing grounded theory","venue":null,"work_id":"72898d79-60a5-4a6e-8a5b-cbc3d7568298","year":2008},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:35.155265Z"},"links":{"citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:a38747aa603829ebb61b77cdec01bffd6f3ee86a79157c2708fa7506a54b9f85","observation_id":"8bc6904f-a4f4-4169-8a42-b6a84b0036ad","resolution":{"observed_at":"2026-08-06T16:26:35.471593Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T16:26:35.460672Z","title":"A coefficient of agreement for nominal scales,","venue":null,"work_id":"6c598cac-952d-4bbd-aad6-6717c44ad5d1","year":1960},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:35.158164Z"},"links":{"citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:781d60f211c728cff28212fc97048fc1c85788e8d08be84659a9146a36f760ae","observation_id":"d557eb38-f21f-41a5-a6f5-e189546958ce","resolution":{"observed_at":"2026-08-06T16:26:35.463362Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T16:26:35.452466Z","title":"Model generation with LLMs: From requirements to UML sequence diagrams,","venue":null,"work_id":"b95e2b9a-dd50-4d73-aba2-4746fcd399f3","year":2024},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:35.161541Z"},"links":{"citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:ce61e9238177392da07dfcfedc6d1e85aaa00bb2ac601acbc7943ce985f51e80","observation_id":"b2264163-ab11-4265-8c81-ff159b5bd5e8","resolution":{"observed_at":"2026-08-06T16:26:35.455525Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T16:26:35.444499Z","title":"Scaling instruction-finetuned language models,","venue":null,"work_id":"9020cbe2-5f00-48cc-86dd-2555688e485b","year":2024},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:35.164721Z"},"links":{"citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:4625afb30e85a5a1915a16760b275780bd9527138048392df931c4606c712c97","observation_id":"3d40e08c-2e4c-46b3-8e0e-5f0da36aabd2","resolution":{"observed_at":"2026-08-06T16:26:35.447409Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2203.15556","last_updated":"2022-03-29T13:38:03Z","snapshot_observed_at":"2026-08-09T19:52:33.533277Z","submitted_at":"2022-03-29T13:38:03Z","title":"Training Compute-Optimal Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.15556","snapshot_observed_at":"2026-08-06T16:26:35.167761Z","title":"Training compute-optimal large language models,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:35.167761Z"},"links":{"cited_paper":"/paper/2203.15556","citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:e6a739a472e1770e550f2a7e8647f09265a0a86ecb58c40ae29b7edccac65282","observation_id":"6b07d13e-f0eb-414c-94cb-7b96fc46cbd8","resolution":{"observed_at":"2026-08-06T16:26:35.167761Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.07769","last_updated":"2023-02-20T11:19:08Z","snapshot_observed_at":"2026-08-08T11:25:49.765781Z","submitted_at":"2022-12-15T12:47:18Z","title":"CLAM: Selective Clarification for Ambiguous Questions with Generative Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.07769","snapshot_observed_at":"2026-08-06T16:26:35.170662Z","title":"Clam: Selective clarification for ambiguous questions with generative language models,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:35.170662Z"},"links":{"cited_paper":"/paper/2212.07769","citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:59b0de014839089d63c370a063b8004c9e08136f3e13a56e0de7202874f08fa7","observation_id":"1edf88a2-f225-42b1-b5cb-0ccbc061fdb6","resolution":{"observed_at":"2026-08-06T16:26:35.170662Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:26:35.173429Z","title":"Survey of hallucination in natural language generation,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:35.173429Z"},"links":{"citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:8910b5c9353b5e9ea306c11c383507a7b12d39b148720917bd302b1881ee3ec2","observation_id":"0411a2bd-ff95-4620-a19f-fe449e31d775","resolution":{"observed_at":"2026-08-06T16:26:35.173429Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:26:35.429948Z","title":"Revisiting automatic evalu- ation of extractive summarization task: Can we do better than rouge?","venue":null,"work_id":"237f22a1-2030-4b2d-ae8f-3e47ddb90a4f","year":2022},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:35.176228Z"},"links":{"citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:eb26510ee3f33bb74ffcf44680b730a722d5e7ce9583b4f2d50c36476ee42e3c","observation_id":"39918013-5209-4665-9f0b-2a09126e47cc","resolution":{"observed_at":"2026-08-06T16:26:35.432643Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T16:26:35.421065Z","title":"Toward regulatory compliance: A few-shot learning approach to extract processing activities,","venue":null,"work_id":"630916b7-45cb-4619-8228-a18cc7ab5255","year":2024},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:35.178834Z"},"links":{"citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:934f54359f5edc0c0a398753bd4d19294004568ea1f259abefe12544511baaec","observation_id":"3852d754-48af-43a6-a4ae-cce13971677c","resolution":{"observed_at":"2026-08-06T16:26:35.424011Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T16:26:35.412604Z","title":"A large language model approach to code and privacy policy alignment,","venue":null,"work_id":"dbc64d4e-66d7-46e6-911b-fa79d9c40f15","year":2024},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:35.181376Z"},"links":{"citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:e75985a466b59d98efd68366fd1c207624370e5c219b83ba4c5f30841fc3d987","observation_id":"b141fd6b-910f-477c-a71f-65d8fc7a59c9","resolution":{"observed_at":"2026-08-06T16:26:35.415643Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T16:26:35.404582Z","title":"Chain-of-thought prompting elicits reasoning in large language models,","venue":null,"work_id":"3582b3cf-6803-4280-97a3-6b6d9615f722","year":2022},"citing_paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software","version":1},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-06T16:26:35.183728Z"},"links":{"citing_paper":"/paper/2507.13555"},"observation_digest":"sha256:744d5ded4124acdf36e7be8f98114c4d988bd60388c91cf4ebddef20f2c56e57","observation_id":"b64438d2-5bb3-40aa-8fe6-0d9661376eb6","resolution":{"observed_at":"2026-08-06T16:26:35.407262Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.13555","last_updated":"2025-07-17T22:16:13Z","latest_version":1,"primary_category":"cs.SE","snapshot_observed_at":"2026-08-06T16:19:42.556672Z","submitted_at":"2025-07-17T22:16:13Z","title":"Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software"},"reference_resolution":{"displayed":77,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":20,"verified_exact":1,"verified_fuzzy":55},"total_outbound_references":77},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 77 of 77 outbound references and 0 inbound Pith citation observations for arXiv:2507.13555."}