{"as_of":"2026-08-08T18:34:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:24b54650e759b0cacf97d5dec05a4761d77061e60ca10da8e6b59907bd486f65","coverage":[{"denominator":60,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":60,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-03T11:41:14.745213Z","state":"measured"},{"denominator":63,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":63,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-30T01:36:39.836224Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":0,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2601.05485","last_updated":"2026-07-29T08:53:02Z","snapshot_observed_at":"2026-08-08T07:35:13.776475Z","submitted_at":"2026-01-09T02:38:24Z","title":"Readability-Robust Code Summarization via Meta Curriculum Learning","version":2},"cited_work":{"arxiv_id":"2601.05485","doi":"10.48550/arxiv.2601.05485","metadata_source":"arxiv_reference","pith_arxiv_id":"2601.05485","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Wenhao Zeng, Yaoning Wang, Chao Hu, Yuling Shi, Chengcheng Wan, Hongyu Zhang, and Xiaodong Gu","venue":"arXiv (Cornell University)","work_id":"f8d737d4-9f70-4f63-b292-7d8c716ef022","year":2026},"citing_paper":{"arxiv_id":"2602.01785","last_updated":"2026-04-28T16:05:53Z","snapshot_observed_at":"2026-07-06T22:44:04.951815Z","submitted_at":"2026-02-02T08:10:21Z","title":"CodeOCR: On the Effectiveness of Vision Language Models in Code Understanding","version":2},"reference_index":106,"source":"pdf_text","source_observed_at":"2026-05-16T08:30:50.984873Z"},"links":{"cited_paper":"/paper/2601.05485","citing_paper":"/paper/2602.01785"},"observation_digest":"sha256:dab74130f545a706804621603cf27b3cd63d7d2e8d8d35fd08aedc1f2ebadc21","observation_id":"96398156-b907-4d8c-909d-622b869e4be2","resolution":{"observed_at":"2026-07-30T02:04:29.175019Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2601.05485","last_updated":"2026-07-29T08:53:02Z","snapshot_observed_at":"2026-08-08T07:35:13.776475Z","submitted_at":"2026-01-09T02:38:24Z","title":"Readability-Robust Code Summarization via Meta Curriculum Learning","version":2},"cited_work":{"arxiv_id":"2601.05485","doi":"10.48550/arxiv.2601.05485","metadata_source":"arxiv_reference","pith_arxiv_id":"2601.05485","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Wenhao Zeng, Yaoning Wang, Chao Hu, Yuling Shi, Chengcheng Wan, Hongyu Zhang, and Xiaodong Gu","venue":"arXiv (Cornell University)","work_id":"f8d737d4-9f70-4f63-b292-7d8c716ef022","year":2026},"citing_paper":{"arxiv_id":"2604.23813","last_updated":"2026-04-26T17:26:06Z","snapshot_observed_at":"2026-07-06T23:09:58.193241Z","submitted_at":"2026-04-26T17:26:06Z","title":"ShredBench: Evaluating the Semantic Reasoning Capabilities of Multimodal LLMs in Document Reconstruction","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-08T06:34:56.032634Z"},"links":{"cited_paper":"/paper/2601.05485","citing_paper":"/paper/2604.23813"},"observation_digest":"sha256:f756a653c2d459f936144624abc51ce1d0bc6807b2eae0c40f80853d87a3ea8e","observation_id":"15e2ede5-48eb-4b59-a6f8-0111222f56a7","resolution":{"observed_at":"2026-07-30T02:04:29.175019Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2601.05485","last_updated":"2026-07-29T08:53:02Z","snapshot_observed_at":"2026-08-08T07:35:13.776475Z","submitted_at":"2026-01-09T02:38:24Z","title":"Readability-Robust Code Summarization via Meta Curriculum Learning","version":2},"cited_work":{"arxiv_id":"2601.05485","doi":"10.48550/arxiv.2601.05485","metadata_source":"arxiv_reference","pith_arxiv_id":"2601.05485","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Wenhao Zeng, Yaoning Wang, Chao Hu, Yuling Shi, Chengcheng Wan, Hongyu Zhang, and Xiaodong Gu","venue":"arXiv (Cornell University)","work_id":"f8d737d4-9f70-4f63-b292-7d8c716ef022","year":2026},"citing_paper":{"arxiv_id":"2606.28434","last_updated":"2026-06-26T04:55:24Z","snapshot_observed_at":"2026-08-01T16:45:43.562159Z","submitted_at":"2026-06-26T04:55:24Z","title":"SWE-MeM: Learning Adaptive Memory Management for Long-Horizon Coding Agents","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-06-30T01:36:39.836224Z"},"links":{"cited_paper":"/paper/2601.05485","citing_paper":"/paper/2606.28434"},"observation_digest":"sha256:636cd4bfd8c81131cf95a7b90a83affb1ff3e45d5736b32b1b1064364827dd33","observation_id":"2cda7514-34ff-4a16-9d57-59e1d58e30c1","resolution":{"observed_at":"2026-07-30T02:04:29.175019Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2601.05485/citation-record","integrity":"/paper/2601.05485/integrity","json":"/paper/2601.05485/citation-record.json","paper":"/paper/2601.05485"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2401.14196","last_updated":"2024-01-26T09:23:11Z","snapshot_observed_at":"2026-08-06T22:40:28.707813Z","submitted_at":"2024-01-25T14:17:53Z","title":"DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.14196","snapshot_observed_at":"2026-08-03T11:41:13.949451Z","title":"Deepseek-coder: When the large language model meets programming – the rise of code intelligence,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.05485","last_updated":"2026-07-29T08:53:02Z","snapshot_observed_at":"2026-08-08T07:35:13.776475Z","submitted_at":"2026-01-09T02:38:24Z","title":"Readability-Robust Code Summarization via Meta Curriculum Learning","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-03T11:41:13.949451Z"},"links":{"cited_paper":"/paper/2401.14196","citing_paper":"/paper/2601.05485"},"observation_digest":"sha256:9db41b0fb1a4b45454e413fb7c35c45c03e37d209a878c50e67f2e6b5683257c","observation_id":"b80d743b-0bc3-47be-97da-a4b0fadb055d","resolution":{"observed_at":"2026-08-03T11:41:13.949451Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12186","last_updated":"2024-11-12T13:24:25Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-09-18T17:57:57Z","title":"Qwen2.5-Coder Technical Report","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.12186","snapshot_observed_at":"2026-08-03T11:41:14.002527Z","title":"Qwen2. 5-coder technical report,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.05485","last_updated":"2026-07-29T08:53:02Z","snapshot_observed_at":"2026-08-08T07:35:13.776475Z","submitted_at":"2026-01-09T02:38:24Z","title":"Readability-Robust Code Summarization via Meta Curriculum Learning","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-03T11:41:14.002527Z"},"links":{"cited_paper":"/paper/2409.12186","citing_paper":"/paper/2601.05485"},"observation_digest":"sha256:38b005dbef7ad4ac1560e4cc1b6de1a9fcb50244007f14d121991668d765d6b2","observation_id":"33b0b43a-ca2a-4837-b38d-f70fae37c75a","resolution":{"observed_at":"2026-08-03T11:41:14.002527Z","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":"2026-08-03T11:41:14.055532Z","title":"Code needs comments: Enhancing code llms with comment augmentation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.05485","last_updated":"2026-07-29T08:53:02Z","snapshot_observed_at":"2026-08-08T07:35:13.776475Z","submitted_at":"2026-01-09T02:38:24Z","title":"Readability-Robust Code Summarization via Meta Curriculum Learning","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-03T11:41:14.055532Z"},"links":{"citing_paper":"/paper/2601.05485"},"observation_digest":"sha256:e43f49e36d99f350aeb64ef5f972031728cb5f8afc0940d40435f4c9c8f423d5","observation_id":"bc00d741-5326-4214-be51-46b950ceae21","resolution":{"observed_at":"2026-08-03T11:41:14.055532Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.14904","last_updated":"2023-11-25T02:45:50Z","snapshot_observed_at":"2026-07-06T16:52:11.338048Z","submitted_at":"2023-11-25T02:45:50Z","title":"LLM-Assisted Code Cleaning For Training Accurate Code Generators","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.14904","snapshot_observed_at":"2026-08-03T11:41:14.113907Z","title":"Llm-assisted code cleaning for training accurate code generators,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.05485","last_updated":"2026-07-29T08:53:02Z","snapshot_observed_at":"2026-08-08T07:35:13.776475Z","submitted_at":"2026-01-09T02:38:24Z","title":"Readability-Robust Code Summarization via Meta Curriculum Learning","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-03T11:41:14.113907Z"},"links":{"cited_paper":"/paper/2311.14904","citing_paper":"/paper/2601.05485"},"observation_digest":"sha256:92d69629152c35a2b025cddd1f449a107fa70ca048de90a43f954763b807f9e1","observation_id":"2c917284-abbd-474c-931f-9f3b0ce5b159","resolution":{"observed_at":"2026-08-03T11:41:14.113907Z","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":"2026-08-03T11:41:14.234889Z","title":"How do your code llms perform? empowering code instruction tuning with really good data,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.05485","last_updated":"2026-07-29T08:53:02Z","snapshot_observed_at":"2026-08-08T07:35:13.776475Z","submitted_at":"2026-01-09T02:38:24Z","title":"Readability-Robust Code Summarization via Meta Curriculum Learning","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-03T11:41:14.234889Z"},"links":{"citing_paper":"/paper/2601.05485"},"observation_digest":"sha256:168fd8c9e5ebb49a8600d913ef952df7550098f4ee22e1626c8c427c952e7de8","observation_id":"1d7c4e10-f2e9-4e2e-a0c1-55b52490cec9","resolution":{"observed_at":"2026-08-03T11:41:14.234889Z","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":"2026-08-03T11:41:14.286510Z","title":"Do comments follow commenting conventions? a case study in java and python,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2601.05485","last_updated":"2026-07-29T08:53:02Z","snapshot_observed_at":"2026-08-08T07:35:13.776475Z","submitted_at":"2026-01-09T02:38:24Z","title":"Readability-Robust Code Summarization via Meta Curriculum Learning","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-03T11:41:14.286510Z"},"links":{"citing_paper":"/paper/2601.05485"},"observation_digest":"sha256:48e7ef32bc1d983d1787783f2cdb68b752e4dd2e3dd48ff952cf665db902aefb","observation_id":"0db9cecf-745d-4aa5-bc55-440abecbc0e6","resolution":{"observed_at":"2026-08-03T11:41:14.286510Z","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":"2026-08-03T11:41:14.393471Z","title":"Are we building on the rock? on the importance of data preprocessing for code summarization,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2601.05485","last_updated":"2026-07-29T08:53:02Z","snapshot_observed_at":"2026-08-08T07:35:13.776475Z","submitted_at":"2026-01-09T02:38:24Z","title":"Readability-Robust Code Summarization via Meta Curriculum Learning","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-03T11:41:14.393471Z"},"links":{"citing_paper":"/paper/2601.05485"},"observation_digest":"sha256:7bec2e15b029af81d80d2f802a7ba1930463dc10583e94725c0272d91031d86d","observation_id":"53834ea6-2d7f-4195-addf-b48f547009e3","resolution":{"observed_at":"2026-08-03T11:41:14.393471Z","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":"2026-08-03T11:41:14.555218Z","title":"Adversarial robustness for code,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2601.05485","last_updated":"2026-07-29T08:53:02Z","snapshot_observed_at":"2026-08-08T07:35:13.776475Z","submitted_at":"2026-01-09T02:38:24Z","title":"Readability-Robust Code Summarization via Meta Curriculum Learning","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-03T11:41:14.555218Z"},"links":{"citing_paper":"/paper/2601.05485"},"observation_digest":"sha256:6a9cad2d3b6617e27d1f4a1bcf6878a07929de815b4b9d3f09ce6a95e7e38bad","observation_id":"67de2762-a9bc-46a7-bc05-42b36d42df48","resolution":{"observed_at":"2026-08-03T11:41:14.555218Z","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":"2026-08-03T11:41:14.612253Z","title":"Towards generating summaries for lexically confusing code through code erosion","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2601.05485","last_updated":"2026-07-29T08:53:02Z","snapshot_observed_at":"2026-08-08T07:35:13.776475Z","submitted_at":"2026-01-09T02:38:24Z","title":"Readability-Robust Code Summarization via Meta Curriculum Learning","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-03T11:41:14.612253Z"},"links":{"citing_paper":"/paper/2601.05485"},"observation_digest":"sha256:0aab83d5b696672f8416ac1e66687f1fead37ecb1da214012ac1dd43f6a78f8c","observation_id":"4af5c222-77ee-4f35-836b-115b8cb34c35","resolution":{"observed_at":"2026-08-03T11:41:14.612253Z","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":"2026-08-03T11:41:14.630962Z","title":"How effectively do code language models understand poor-readability code?","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.05485","last_updated":"2026-07-29T08:53:02Z","snapshot_observed_at":"2026-08-08T07:35:13.776475Z","submitted_at":"2026-01-09T02:38:24Z","title":"Readability-Robust Code Summarization via Meta Curriculum Learning","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-03T11:41:14.630962Z"},"links":{"citing_paper":"/paper/2601.05485"},"observation_digest":"sha256:1efc8ccc4dc56705ec07fa8024a31c8738da81bccdfa1311b910ee1217d72846","observation_id":"8af120d7-6626-40fe-88c4-293f20bdb6cd","resolution":{"observed_at":"2026-08-03T11:41:14.630962Z","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":"2026-08-03T11:41:14.633183Z","title":"Beyond chat: a framework for llms as human-centered support systems,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.05485","last_updated":"2026-07-29T08:53:02Z","snapshot_observed_at":"2026-08-08T07:35:13.776475Z","submitted_at":"2026-01-09T02:38:24Z","title":"Readability-Robust Code Summarization via Meta Curriculum Learning","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-03T11:41:14.633183Z"},"links":{"citing_paper":"/paper/2601.05485"},"observation_digest":"sha256:165ca1d8c99ad3a604f6752bc281449ae71d7f2348c6720bba32f33e17861903","observation_id":"7997bfa0-c06f-4fdd-8028-78de856bbf99","resolution":{"observed_at":"2026-08-03T11:41:14.633183Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2007.04973","last_updated":"2022-01-06T19:18:09Z","snapshot_observed_at":"2026-08-06T01:52:34.001556Z","submitted_at":"2020-07-09T17:59:06Z","title":"Contrastive Code Representation Learning","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2007.04973","snapshot_observed_at":"2026-08-03T11:41:14.635721Z","title":"Contrastive code representation learning,","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2601.05485","last_updated":"2026-07-29T08:53:02Z","snapshot_observed_at":"2026-08-08T07:35:13.776475Z","submitted_at":"2026-01-09T02:38:24Z","title":"Readability-Robust Code Summarization via Meta Curriculum Learning","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-03T11:41:14.635721Z"},"links":{"cited_paper":"/paper/2007.04973","citing_paper":"/paper/2601.05485"},"observation_digest":"sha256:69bd7285a43b1118c29d33b3f066425cd859b087c1a5c513341316be8125476f","observation_id":"661ff4b2-f767-4ea9-883e-002c4059787e","resolution":{"observed_at":"2026-08-03T11:41:14.635721Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1909.09436","last_updated":"2020-06-08T09:09:28Z","snapshot_observed_at":"2026-08-06T10:54:14.530969Z","submitted_at":"2019-09-20T11:52:45Z","title":"CodeSearchNet Challenge: Evaluating the State of Semantic Code Search","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1909.09436","snapshot_observed_at":"2026-08-03T11:41:14.638324Z","title":"Codesearchnet challenge: Evaluating the state of semantic code search,","venue":null,"work_id":null,"year":1909},"citing_paper":{"arxiv_id":"2601.05485","last_updated":"2026-07-29T08:53:02Z","snapshot_observed_at":"2026-08-08T07:35:13.776475Z","submitted_at":"2026-01-09T02:38:24Z","title":"Readability-Robust Code Summarization via Meta Curriculum Learning","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-03T11:41:14.638324Z"},"links":{"cited_paper":"/paper/1909.09436","citing_paper":"/paper/2601.05485"},"observation_digest":"sha256:5d393c7024e58d80c606abda7a22998b2441ca4a8acf460b6779f2b4db44d229","observation_id":"47ac3269-78e2-4c52-beca-44133a6e7a7d","resolution":{"observed_at":"2026-08-03T11:41:14.638324Z","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":"2026-08-03T11:41:14.640934Z","title":"Summarizing source code using a neural attention model,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2601.05485","last_updated":"2026-07-29T08:53:02Z","snapshot_observed_at":"2026-08-08T07:35:13.776475Z","submitted_at":"2026-01-09T02:38:24Z","title":"Readability-Robust Code Summarization via Meta Curriculum Learning","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-03T11:41:14.640934Z"},"links":{"citing_paper":"/paper/2601.05485"},"observation_digest":"sha256:8b3aca2bfd998df91113ee58831d478de309e3765e982ba540cbfbaaeb3d712d","observation_id":"df309ab7-4045-4d85-89fd-06ed9495e311","resolution":{"observed_at":"2026-08-03T11:41:14.640934Z","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":"2026-08-03T11:41:14.643199Z","title":"Cross-entropy loss functions: Theoretical analysis and applications,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.05485","last_updated":"2026-07-29T08:53:02Z","snapshot_observed_at":"2026-08-08T07:35:13.776475Z","submitted_at":"2026-01-09T02:38:24Z","title":"Readability-Robust Code Summarization via Meta Curriculum Learning","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-03T11:41:14.643199Z"},"links":{"citing_paper":"/paper/2601.05485"},"observation_digest":"sha256:10c65797eef27ffcee228ca77cc6c1694a1a1e2791566fe04d3b1827f76e23b1","observation_id":"ca70c017-ba67-495d-a0e8-e506af2b8fb0","resolution":{"observed_at":"2026-08-03T11:41:14.643199Z","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":"2026-08-03T11:41:14.645362Z","title":"Curriculum learning,","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2601.05485","last_updated":"2026-07-29T08:53:02Z","snapshot_observed_at":"2026-08-08T07:35:13.776475Z","submitted_at":"2026-01-09T02:38:24Z","title":"Readability-Robust Code Summarization via Meta Curriculum Learning","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-03T11:41:14.645362Z"},"links":{"citing_paper":"/paper/2601.05485"},"observation_digest":"sha256:c264ad8488dbd82015ddbbf964eea1c26a3477fbb8651ef24a6dc75957f82217","observation_id":"20d214d2-a295-4623-91de-a17414e7e43b","resolution":{"observed_at":"2026-08-03T11:41:14.645362Z","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":"2026-08-03T11:41:14.647461Z","title":"Evolving culture versus local minima,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2601.05485","last_updated":"2026-07-29T08:53:02Z","snapshot_observed_at":"2026-08-08T07:35:13.776475Z","submitted_at":"2026-01-09T02:38:24Z","title":"Readability-Robust Code Summarization via Meta Curriculum Learning","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-03T11:41:14.647461Z"},"links":{"citing_paper":"/paper/2601.05485"},"observation_digest":"sha256:7758b6d1e4fea6aff25bacb46f8ff6e073a84ffc1688cdd489b5a56d950c4c60","observation_id":"a2f45312-a65e-47b9-871f-98e36e81ca44","resolution":{"observed_at":"2026-08-03T11:41:14.647461Z","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":"2026-08-03T11:41:14.649552Z","title":"Why curriculum learn- ing & self-paced learning work in big/noisy data: A theoretical perspective,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2601.05485","last_updated":"2026-07-29T08:53:02Z","snapshot_observed_at":"2026-08-08T07:35:13.776475Z","submitted_at":"2026-01-09T02:38:24Z","title":"Readability-Robust Code Summarization via Meta Curriculum Learning","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-03T11:41:14.649552Z"},"links":{"citing_paper":"/paper/2601.05485"},"observation_digest":"sha256:abfb11f99ef067611b9f7c4adbc71a5a8bb98ea2c8a14e7d74b35967c0d7b077","observation_id":"db9227ad-3e98-47aa-8ade-28cf003d635b","resolution":{"observed_at":"2026-08-03T11:41:14.649552Z","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":"2026-08-03T11:41:14.651632Z","title":"Learning a similarity metric discriminatively, with application to face verification,","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2601.05485","last_updated":"2026-07-29T08:53:02Z","snapshot_observed_at":"2026-08-08T07:35:13.776475Z","submitted_at":"2026-01-09T02:38:24Z","title":"Readability-Robust Code Summarization via Meta Curriculum Learning","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-03T11:41:14.651632Z"},"links":{"citing_paper":"/paper/2601.05485"},"observation_digest":"sha256:bca20841b019f56e3aa6dc040e9a5e75b383824e17b814fa413f2a904dd5628c","observation_id":"03146a1c-eb77-4cb7-8fb3-190f71a99d0b","resolution":{"observed_at":"2026-08-03T11:41:14.651632Z","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":"2026-08-03T11:41:14.653894Z","title":"Prototypical networks for few- shot learning,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2601.05485","last_updated":"2026-07-29T08:53:02Z","snapshot_observed_at":"2026-08-08T07:35:13.776475Z","submitted_at":"2026-01-09T02:38:24Z","title":"Readability-Robust Code Summarization via Meta Curriculum Learning","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-03T11:41:14.653894Z"},"links":{"citing_paper":"/paper/2601.05485"},"observation_digest":"sha256:4e9720a3aa5a4898af8129f7e0f709e1a3701bd10b2359ded248c3e7c633f46c","observation_id":"d4571364-f443-460f-999b-1aa038c9a5b3","resolution":{"observed_at":"2026-08-03T11:41:14.653894Z","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":"2026-08-03T11:41:14.656078Z","title":"Model-agnostic meta-learning for fast adaptation of deep networks,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2601.05485","last_updated":"2026-07-29T08:53:02Z","snapshot_observed_at":"2026-08-08T07:35:13.776475Z","submitted_at":"2026-01-09T02:38:24Z","title":"Readability-Robust Code Summarization via Meta Curriculum Learning","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-03T11:41:14.656078Z"},"links":{"citing_paper":"/paper/2601.05485"},"observation_digest":"sha256:b2cf4411a431ee15197878a0dcdca07389a04d2560f047e9b562a190086086a3","observation_id":"ab0e1962-7e51-43df-a47a-1407a79ece83","resolution":{"observed_at":"2026-08-03T11:41:14.656078Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1803.02999","last_updated":"2018-10-22T16:11:14Z","snapshot_observed_at":"2026-08-05T12:53:31.632675Z","submitted_at":"2018-03-08T08:29:38Z","title":"On First-Order Meta-Learning Algorithms","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1803.02999","snapshot_observed_at":"2026-08-03T11:41:14.658382Z","title":"On first-order meta- learning algorithms,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2601.05485","last_updated":"2026-07-29T08:53:02Z","snapshot_observed_at":"2026-08-08T07:35:13.776475Z","submitted_at":"2026-01-09T02:38:24Z","title":"Readability-Robust Code Summarization via Meta Curriculum Learning","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-03T11:41:14.658382Z"},"links":{"cited_paper":"/paper/1803.02999","citing_paper":"/paper/2601.05485"},"observation_digest":"sha256:0538477921d6f08aebb763e7187c8f061194cf7e3f4d9c7c6cc7516d918b2eec","observation_id":"403b3780-a635-4fd0-b432-5021e0db1122","resolution":{"observed_at":"2026-08-03T11:41:14.658382Z","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":"2026-08-03T11:41:14.661009Z","title":"Learning a metric for code read- ability,","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2601.05485","last_updated":"2026-07-29T08:53:02Z","snapshot_observed_at":"2026-08-08T07:35:13.776475Z","submitted_at":"2026-01-09T02:38:24Z","title":"Readability-Robust Code Summarization via Meta Curriculum Learning","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-03T11:41:14.661009Z"},"links":{"citing_paper":"/paper/2601.05485"},"observation_digest":"sha256:b27c946d10f3678691fb789fafc05fbb17c8921a3a91c6cc600ddf16db6ca17e","observation_id":"41d65f41-8f81-4843-9736-f1c0acef7931","resolution":{"observed_at":"2026-08-03T11:41:14.661009Z","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":"2026-08-03T11:41:14.663157Z","title":"Improving code readability models with textual features,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2601.05485","last_updated":"2026-07-29T08:53:02Z","snapshot_observed_at":"2026-08-08T07:35:13.776475Z","submitted_at":"2026-01-09T02:38:24Z","title":"Readability-Robust Code Summarization via Meta Curriculum Learning","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-03T11:41:14.663157Z"},"links":{"citing_paper":"/paper/2601.05485"},"observation_digest":"sha256:22d83235981fe6c6e90df0bd31e10c2e7534f9c793110838c2312b5212045e42","observation_id":"271448c6-a7f3-4296-8875-4247ea544b9b","resolution":{"observed_at":"2026-08-03T11:41:14.663157Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2110.03868","last_updated":"2022-03-20T22:06:42Z","snapshot_observed_at":"2026-07-06T11:55:42.605887Z","submitted_at":"2021-10-08T02:56:43Z","title":"Towards Learning (Dis)-Similarity of Source Code from Program Contrasts","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.03868","snapshot_observed_at":"2026-08-03T11:41:14.666084Z","title":"Contrastive learning for source code with structural and func- tional properties,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2601.05485","last_updated":"2026-07-29T08:53:02Z","snapshot_observed_at":"2026-08-08T07:35:13.776475Z","submitted_at":"2026-01-09T02:38:24Z","title":"Readability-Robust Code Summarization via Meta Curriculum Learning","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-03T11:41:14.666084Z"},"links":{"cited_paper":"/paper/2110.03868","citing_paper":"/paper/2601.05485"},"observation_digest":"sha256:0ca1959b49302a93b4ab33d14e94ef35917cb82d09f9dfaea8890ae2846825a9","observation_id":"cca6ac96-024b-4310-83a7-943bddb80616","resolution":{"observed_at":"2026-08-03T11:41:14.666084Z","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":"2026-08-03T11:41:14.668481Z","title":"NatGen: generative pre-training by “naturalizing","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2601.05485","last_updated":"2026-07-29T08:53:02Z","snapshot_observed_at":"2026-08-08T07:35:13.776475Z","submitted_at":"2026-01-09T02:38:24Z","title":"Readability-Robust Code Summarization via Meta Curriculum Learning","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-03T11:41:14.668481Z"},"links":{"citing_paper":"/paper/2601.05485"},"observation_digest":"sha256:6900a467ac49dfe50609819a3d047d30298391fe7ca1c8c3eaf39da19ffae8a2","observation_id":"37353c3c-235b-4a4d-a48a-8e460d876107","resolution":{"observed_at":"2026-08-03T11:41:14.668481Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1811.01824","last_updated":"2021-02-03T12:43:02Z","snapshot_observed_at":"2026-07-06T07:12:44.495733Z","submitted_at":"2018-11-05T16:12:04Z","title":"Structured Neural Summarization","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1811.01824","snapshot_observed_at":"2026-08-03T11:41:14.670732Z","title":"Structured neural summarization,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2601.05485","last_updated":"2026-07-29T08:53:02Z","snapshot_observed_at":"2026-08-08T07:35:13.776475Z","submitted_at":"2026-01-09T02:38:24Z","title":"Readability-Robust Code Summarization via Meta Curriculum Learning","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-03T11:41:14.670732Z"},"links":{"cited_paper":"/paper/1811.01824","citing_paper":"/paper/2601.05485"},"observation_digest":"sha256:6d88620691090d8f654e51ebd8c4dbc307c8ea1d0138d9f6aeb5394dbd638d00","observation_id":"efd97d9a-048b-4368-8966-6a485a6d9d9f","resolution":{"observed_at":"2026-08-03T11:41:14.670732Z","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":"2026-08-03T11:41:14.673283Z","title":"Neural reverse engineering of stripped binaries using augmented control flow graphs,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2601.05485","last_updated":"2026-07-29T08:53:02Z","snapshot_observed_at":"2026-08-08T07:35:13.776475Z","submitted_at":"2026-01-09T02:38:24Z","title":"Readability-Robust Code Summarization via Meta Curriculum Learning","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-03T11:41:14.673283Z"},"links":{"citing_paper":"/paper/2601.05485"},"observation_digest":"sha256:a6315ba9b3c6a1277512e1f63598289b945bbb46d242b20a99e087a15497807c","observation_id":"a6439d37-9615-4214-800f-9b66f29bc8e3","resolution":{"observed_at":"2026-08-03T11:41:14.673283Z","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":"2026-08-03T11:41:14.675506Z","title":"Debin: Predicting debug information in stripped binaries,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2601.05485","last_updated":"2026-07-29T08:53:02Z","snapshot_observed_at":"2026-08-08T07:35:13.776475Z","submitted_at":"2026-01-09T02:38:24Z","title":"Readability-Robust Code Summarization via Meta Curriculum Learning","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-03T11:41:14.675506Z"},"links":{"citing_paper":"/paper/2601.05485"},"observation_digest":"sha256:1326303b72b85e4b51722b2682cc6c908d8048ce1fcf15ae11d8e92c4523dc42","observation_id":"c8fd30d6-fb56-4dda-b395-3c971eb8c4b6","resolution":{"observed_at":"2026-08-03T11:41:14.675506Z","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":"2026-08-03T11:41:14.677561Z","title":"Measur- ing neural efficiency of program comprehension,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2601.05485","last_updated":"2026-07-29T08:53:02Z","snapshot_observed_at":"2026-08-08T07:35:13.776475Z","submitted_at":"2026-01-09T02:38:24Z","title":"Readability-Robust Code Summarization via Meta Curriculum Learning","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-03T11:41:14.677561Z"},"links":{"citing_paper":"/paper/2601.05485"},"observation_digest":"sha256:a1de2e2da9f91869f252abaa0c700909d2785e8f22ef71ed2fb5aec81a24a149","observation_id":"cff88d72-c32d-4208-aaa6-1b3759a5bdb6","resolution":{"observed_at":"2026-08-03T11:41:14.677561Z","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":"2026-08-03T11:41:14.679672Z","title":"Understanding understanding source code with functional magnetic resonance imaging,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2601.05485","last_updated":"2026-07-29T08:53:02Z","snapshot_observed_at":"2026-08-08T07:35:13.776475Z","submitted_at":"2026-01-09T02:38:24Z","title":"Readability-Robust Code Summarization via Meta Curriculum Learning","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-03T11:41:14.679672Z"},"links":{"citing_paper":"/paper/2601.05485"},"observation_digest":"sha256:c97d02c0346182f6ade0a3509841dd544c3f6e7cf8b060b2ff9b7babeaad6223","observation_id":"35d91b9d-1bba-469b-aad4-2c7de89fec47","resolution":{"observed_at":"2026-08-03T11:41:14.679672Z","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":"2026-08-03T11:41:14.681784Z","title":"Contrastive code representation learning,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2601.05485","last_updated":"2026-07-29T08:53:02Z","snapshot_observed_at":"2026-08-08T07:35:13.776475Z","submitted_at":"2026-01-09T02:38:24Z","title":"Readability-Robust Code Summarization via Meta Curriculum Learning","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-03T11:41:14.681784Z"},"links":{"citing_paper":"/paper/2601.05485"},"observation_digest":"sha256:4c30b128594e3db2a55a228bdab2ca2bff823d902a6295943cbd75f3d1a9d2c7","observation_id":"d6e0c41a-fb56-4ca0-8c4e-65f2f3f442e4","resolution":{"observed_at":"2026-08-03T11:41:14.681784Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.15115","last_updated":"2025-01-03T02:18:21Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-12-19T17:56:09Z","title":"Qwen2.5 Technical Report","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.15115","snapshot_observed_at":"2026-08-03T11:41:14.683840Z","title":"Qwen2.5 technical report,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.05485","last_updated":"2026-07-29T08:53:02Z","snapshot_observed_at":"2026-08-08T07:35:13.776475Z","submitted_at":"2026-01-09T02:38:24Z","title":"Readability-Robust Code Summarization via Meta Curriculum Learning","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-03T11:41:14.683840Z"},"links":{"cited_paper":"/paper/2412.15115","citing_paper":"/paper/2601.05485"},"observation_digest":"sha256:67d0791ae394a6cae381cd127fb95087cbe6052b14a607cd4186e29f90c48cda","observation_id":"3c816ed2-bf73-453b-a052-38deb6ab834a","resolution":{"observed_at":"2026-08-03T11:41:14.683840Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.19437","last_updated":"2025-02-18T17:26:38Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-12-27T04:03:16Z","title":"DeepSeek-V3 Technical Report","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.19437","snapshot_observed_at":"2026-08-03T11:41:14.686285Z","title":"Deepseek-v3 technical report,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.05485","last_updated":"2026-07-29T08:53:02Z","snapshot_observed_at":"2026-08-08T07:35:13.776475Z","submitted_at":"2026-01-09T02:38:24Z","title":"Readability-Robust Code Summarization via Meta Curriculum Learning","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-03T11:41:14.686285Z"},"links":{"cited_paper":"/paper/2412.19437","citing_paper":"/paper/2601.05485"},"observation_digest":"sha256:4d010dd23305023129dd169cadfd87e553cce932cfc9d61d2cef34bf5f58c93f","observation_id":"1afa853b-bd51-4f6e-8181-3509197b1dce","resolution":{"observed_at":"2026-08-03T11:41:14.686285Z","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":"2026-08-03T11:41:14.688565Z","title":"Introducing gemini 2.0: our new ai model for the agentic era,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.05485","last_updated":"2026-07-29T08:53:02Z","snapshot_observed_at":"2026-08-08T07:35:13.776475Z","submitted_at":"2026-01-09T02:38:24Z","title":"Readability-Robust Code Summarization via Meta Curriculum Learning","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-03T11:41:14.688565Z"},"links":{"citing_paper":"/paper/2601.05485"},"observation_digest":"sha256:eef04361f1ddfaa051c4e1ad21db64e8011f70df64a655ee704f8843b684e9cd","observation_id":"7cf76613-aea8-455a-9989-b10bbe8364cb","resolution":{"observed_at":"2026-08-03T11:41:14.688565Z","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":"2026-08-03T11:41:14.690926Z","title":"Claude 3.5 sonnet,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.05485","last_updated":"2026-07-29T08:53:02Z","snapshot_observed_at":"2026-08-08T07:35:13.776475Z","submitted_at":"2026-01-09T02:38:24Z","title":"Readability-Robust Code Summarization via Meta Curriculum Learning","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-03T11:41:14.690926Z"},"links":{"citing_paper":"/paper/2601.05485"},"observation_digest":"sha256:0d6d8d569c66a1e1e93915b8edf439815b778797eb92f4966770cec16d2bfe89","observation_id":"4a8b2644-879c-4b7e-8b86-34a663371084","resolution":{"observed_at":"2026-08-03T11:41:14.690926Z","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":"2026-08-03T11:41:14.693190Z","title":"Hello gpt-4o,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.05485","last_updated":"2026-07-29T08:53:02Z","snapshot_observed_at":"2026-08-08T07:35:13.776475Z","submitted_at":"2026-01-09T02:38:24Z","title":"Readability-Robust Code Summarization via Meta Curriculum Learning","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-03T11:41:14.693190Z"},"links":{"citing_paper":"/paper/2601.05485"},"observation_digest":"sha256:7744985b1d057c7cf133688fc33e2d9cdb5fcad26479568780680cf7100ea8fe","observation_id":"8f2445d0-add0-4f26-88bf-cc9e2dc600cc","resolution":{"observed_at":"2026-08-03T11:41:14.693190Z","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":"2026-08-03T11:41:14.695227Z","title":"Orange: a method for evaluating au- tomatic evaluation metrics for machine translation,","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2601.05485","last_updated":"2026-07-29T08:53:02Z","snapshot_observed_at":"2026-08-08T07:35:13.776475Z","submitted_at":"2026-01-09T02:38:24Z","title":"Readability-Robust Code Summarization via Meta Curriculum Learning","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-03T11:41:14.695227Z"},"links":{"citing_paper":"/paper/2601.05485"},"observation_digest":"sha256:de2cc51abfd4a92524f785d57ebc6d08ee9f620a259d6ced9948acf230964981","observation_id":"b1bac715-b6bb-4c51-a81a-6ebe01960937","resolution":{"observed_at":"2026-08-03T11:41:14.695227Z","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":"2026-08-03T11:41:14.697621Z","title":"CodeT5: Identifier- aware unified pre-trained encoder-decoder models for code understanding and generation,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2601.05485","last_updated":"2026-07-29T08:53:02Z","snapshot_observed_at":"2026-08-08T07:35:13.776475Z","submitted_at":"2026-01-09T02:38:24Z","title":"Readability-Robust Code Summarization via Meta Curriculum Learning","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-03T11:41:14.697621Z"},"links":{"citing_paper":"/paper/2601.05485"},"observation_digest":"sha256:b999d17c5b794c8ec5da58a7a23223f2dc1f9a0afca302b918b7fe22c93d32c4","observation_id":"35c6ffc8-de7f-427c-8b08-0a0340e8900d","resolution":{"observed_at":"2026-08-03T11:41:14.697621Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2102.04664","last_updated":"2021-03-16T08:28:37Z","snapshot_observed_at":"2026-07-06T10:39:42.676631Z","submitted_at":"2021-02-09T06:16:25Z","title":"CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2102.04664","snapshot_observed_at":"2026-08-03T11:41:14.699865Z","title":"Codexglue: A machine learning benchmark dataset for code understanding and generation,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2601.05485","last_updated":"2026-07-29T08:53:02Z","snapshot_observed_at":"2026-08-08T07:35:13.776475Z","submitted_at":"2026-01-09T02:38:24Z","title":"Readability-Robust Code Summarization via Meta Curriculum Learning","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-03T11:41:14.699865Z"},"links":{"cited_paper":"/paper/2102.04664","citing_paper":"/paper/2601.05485"},"observation_digest":"sha256:9a972b435dd8f7e9071288c8c12f68d8cb91abe75114776360f229bbe36309b3","observation_id":"83b98949-5a20-4108-aa21-899431079cef","resolution":{"observed_at":"2026-08-03T11:41:14.699865Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1908.10084","last_updated":"2019-08-27T08:50:17Z","snapshot_observed_at":"2026-07-06T08:17:05.681370Z","submitted_at":"2019-08-27T08:50:17Z","title":"Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1908.10084","snapshot_observed_at":"2026-08-03T11:41:14.702387Z","title":"Sentence-bert: Sentence embeddings using siamese bert-networks,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2601.05485","last_updated":"2026-07-29T08:53:02Z","snapshot_observed_at":"2026-08-08T07:35:13.776475Z","submitted_at":"2026-01-09T02:38:24Z","title":"Readability-Robust Code Summarization via Meta Curriculum Learning","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-03T11:41:14.702387Z"},"links":{"cited_paper":"/paper/1908.10084","citing_paper":"/paper/2601.05485"},"observation_digest":"sha256:6ad94794d6fd39f5a08fcf2a808eb95d4d3f29b989006560293f99a4c0c640f5","observation_id":"81165051-ace4-4a7a-873c-5d265cdb8068","resolution":{"observed_at":"2026-08-03T11:41:14.702387Z","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":"2026-08-03T11:41:14.704944Z","title":"What makes good in-context demonstrations for code in- telligence tasks with llms?","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.05485","last_updated":"2026-07-29T08:53:02Z","snapshot_observed_at":"2026-08-08T07:35:13.776475Z","submitted_at":"2026-01-09T02:38:24Z","title":"Readability-Robust Code Summarization via Meta Curriculum Learning","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-03T11:41:14.704944Z"},"links":{"citing_paper":"/paper/2601.05485"},"observation_digest":"sha256:154cbef8044be731dc23b5a5fb498f3e41733e28c13c52e599dfcd11d182f19b","observation_id":"9e032804-bb78-4cc6-ab0d-daeb172097b1","resolution":{"observed_at":"2026-08-03T11:41:14.704944Z","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":"2026-08-03T11:41:14.707199Z","title":"Element-aware summarization with large language models: Expert-aligned evaluation and chain- of-thought method,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.05485","last_updated":"2026-07-29T08:53:02Z","snapshot_observed_at":"2026-08-08T07:35:13.776475Z","submitted_at":"2026-01-09T02:38:24Z","title":"Readability-Robust Code Summarization via Meta Curriculum Learning","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-03T11:41:14.707199Z"},"links":{"citing_paper":"/paper/2601.05485"},"observation_digest":"sha256:923ffc74348aaf857c253b0fc1df8f83f4dc933072049e7fe55d337331a47c13","observation_id":"bdebf47e-5d24-4a7f-b915-8349fd664c73","resolution":{"observed_at":"2026-08-03T11:41:14.707199Z","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":"2026-08-03T11:41:14.709444Z","title":"Language models can solve computer tasks,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.05485","last_updated":"2026-07-29T08:53:02Z","snapshot_observed_at":"2026-08-08T07:35:13.776475Z","submitted_at":"2026-01-09T02:38:24Z","title":"Readability-Robust Code Summarization via Meta Curriculum Learning","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-03T11:41:14.709444Z"},"links":{"citing_paper":"/paper/2601.05485"},"observation_digest":"sha256:d9afcfe69ed27e47bb6d03dd98f8583238b7ae2bd36df4587d8b6e6fa244e885","observation_id":"739a7843-f203-4b92-8747-e939cadd5f44","resolution":{"observed_at":"2026-08-03T11:41:14.709444Z","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":"2026-08-03T11:41:14.711585Z","title":"Source code summarization in the era of large language models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.05485","last_updated":"2026-07-29T08:53:02Z","snapshot_observed_at":"2026-08-08T07:35:13.776475Z","submitted_at":"2026-01-09T02:38:24Z","title":"Readability-Robust Code Summarization via Meta Curriculum Learning","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-03T11:41:14.711585Z"},"links":{"citing_paper":"/paper/2601.05485"},"observation_digest":"sha256:7e344025a51ae8fec0c9d3c53b9e0ba7f729da8322ed8da1ebe2e1409fe82cfc","observation_id":"f6a5ee52-690b-494a-a02e-660051765838","resolution":{"observed_at":"2026-08-03T11:41:14.711585Z","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":"2026-08-03T11:41:14.714001Z","title":"Pruning the unsurprising: Efficient code reasoning via first-token surprisal,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.05485","last_updated":"2026-07-29T08:53:02Z","snapshot_observed_at":"2026-08-08T07:35:13.776475Z","submitted_at":"2026-01-09T02:38:24Z","title":"Readability-Robust Code Summarization via Meta Curriculum Learning","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-03T11:41:14.714001Z"},"links":{"citing_paper":"/paper/2601.05485"},"observation_digest":"sha256:6c49a399bda31ae9483ec1ef17794a74897c8b60fa5e78c396501e1273a42f3d","observation_id":"b323c798-8301-4896-a39f-27906038d455","resolution":{"observed_at":"2026-08-03T11:41:14.714001Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2601.05110","last_updated":"2026-04-28T12:22:24Z","snapshot_observed_at":"2026-07-06T22:41:10.836235Z","submitted_at":"2026-01-08T16:58:07Z","title":"GlimpRouter: Efficient Collaborative Inference by Glimpsing One Token of Thoughts","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2601.05110","snapshot_observed_at":"2026-08-03T11:41:14.716110Z","title":"Glimprouter: Efficient collaborative inference by glimpsing one token of thoughts,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2601.05485","last_updated":"2026-07-29T08:53:02Z","snapshot_observed_at":"2026-08-08T07:35:13.776475Z","submitted_at":"2026-01-09T02:38:24Z","title":"Readability-Robust Code Summarization via Meta Curriculum Learning","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-03T11:41:14.716110Z"},"links":{"cited_paper":"/paper/2601.05110","citing_paper":"/paper/2601.05485"},"observation_digest":"sha256:6be976c11918cbf85623bae99d29a31f7b9b6727d5b448fe3ff59a50981a3eaa","observation_id":"3e53d429-6a99-4cbb-b9a5-b835cfb4d26d","resolution":{"observed_at":"2026-08-03T11:41:14.716110Z","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":"2026-08-03T11:41:14.718484Z","title":"CodeBERT: A pre-trained model for programming and natural languages,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2601.05485","last_updated":"2026-07-29T08:53:02Z","snapshot_observed_at":"2026-08-08T07:35:13.776475Z","submitted_at":"2026-01-09T02:38:24Z","title":"Readability-Robust Code Summarization via Meta Curriculum Learning","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-03T11:41:14.718484Z"},"links":{"citing_paper":"/paper/2601.05485"},"observation_digest":"sha256:0f2989369fa6bf3554d87d18387b40c5329d70e8f7b781b20ac877005cbadc74","observation_id":"bedf1d7a-8dfb-4548-991c-96fcba171751","resolution":{"observed_at":"2026-08-03T11:41:14.718484Z","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":"2026-08-03T11:41:14.723337Z","title":"Stack overflow developer survey 2022,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2601.05485","last_updated":"2026-07-29T08:53:02Z","snapshot_observed_at":"2026-08-08T07:35:13.776475Z","submitted_at":"2026-01-09T02:38:24Z","title":"Readability-Robust Code Summarization via Meta Curriculum Learning","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-03T11:41:14.723337Z"},"links":{"citing_paper":"/paper/2601.05485"},"observation_digest":"sha256:0ea924709e6dcd7fab491f3283c980d20631d47206a76730a0500526e36e05cc","observation_id":"4f231056-cc80-4cff-9ce9-5596f221e23d","resolution":{"observed_at":"2026-08-03T11:41:14.723337Z","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":"2026-08-03T11:41:14.725508Z","title":"Tiobe index,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2601.05485","last_updated":"2026-07-29T08:53:02Z","snapshot_observed_at":"2026-08-08T07:35:13.776475Z","submitted_at":"2026-01-09T02:38:24Z","title":"Readability-Robust Code Summarization via Meta Curriculum Learning","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-03T11:41:14.725508Z"},"links":{"citing_paper":"/paper/2601.05485"},"observation_digest":"sha256:62115928da5c864a288d805539a8ece7eb456f05388b5c506e673f331ac23b50","observation_id":"ddf8cf1e-d71c-4f0d-b8e6-bf1352f5d77e","resolution":{"observed_at":"2026-08-03T11:41:14.725508Z","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":"2026-08-03T11:41:14.727842Z","title":"Bridging the cyber-analysis gap: The democratization of data science,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2601.05485","last_updated":"2026-07-29T08:53:02Z","snapshot_observed_at":"2026-08-08T07:35:13.776475Z","submitted_at":"2026-01-09T02:38:24Z","title":"Readability-Robust Code Summarization via Meta Curriculum Learning","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-03T11:41:14.727842Z"},"links":{"citing_paper":"/paper/2601.05485"},"observation_digest":"sha256:33cd23974a67e148d642e017a569c5ed218a117dbd60865d906cb9fbff5104ec","observation_id":"6b13db12-4fb0-4f8a-aacb-ad69a22c4696","resolution":{"observed_at":"2026-08-03T11:41:14.727842Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2601.00376","last_updated":"2026-05-06T09:55:05Z","snapshot_observed_at":"2026-07-31T18:30:30.670570Z","submitted_at":"2026-01-01T15:56:24Z","title":"In Line with Context: Repository-Level Code Generation via Context Inlining","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2601.00376","snapshot_observed_at":"2026-08-03T11:41:14.729996Z","title":"In line with con- text: Repository-level code generation via context inlining,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2601.05485","last_updated":"2026-07-29T08:53:02Z","snapshot_observed_at":"2026-08-08T07:35:13.776475Z","submitted_at":"2026-01-09T02:38:24Z","title":"Readability-Robust Code Summarization via Meta Curriculum Learning","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-03T11:41:14.729996Z"},"links":{"cited_paper":"/paper/2601.00376","citing_paper":"/paper/2601.05485"},"observation_digest":"sha256:2a9652f7fd766cca5c99b4c795ac0bbebdd4b99b2468817837445d40c06ce84c","observation_id":"a737f1dc-e9da-4fc2-b488-40e8efb5de45","resolution":{"observed_at":"2026-08-03T11:41:14.729996Z","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":"2026-08-03T11:41:14.732291Z","title":"From code to cor- rectness: Closing the last mile of code generation with hierarchical debugging,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.05485","last_updated":"2026-07-29T08:53:02Z","snapshot_observed_at":"2026-08-08T07:35:13.776475Z","submitted_at":"2026-01-09T02:38:24Z","title":"Readability-Robust Code Summarization via Meta Curriculum Learning","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-03T11:41:14.732291Z"},"links":{"citing_paper":"/paper/2601.05485"},"observation_digest":"sha256:39546d9b137fd8f9f84571d53f813a9035c58552c1578d8e0fd01f3c4c6486e8","observation_id":"c08ae329-712a-4d9e-beff-d12d887a1607","resolution":{"observed_at":"2026-08-03T11:41:14.732291Z","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":"2026-08-03T11:41:14.734347Z","title":"Between lines of code: Unraveling the distinct patterns of machine and human program- mers,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.05485","last_updated":"2026-07-29T08:53:02Z","snapshot_observed_at":"2026-08-08T07:35:13.776475Z","submitted_at":"2026-01-09T02:38:24Z","title":"Readability-Robust Code Summarization via Meta Curriculum Learning","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-03T11:41:14.734347Z"},"links":{"citing_paper":"/paper/2601.05485"},"observation_digest":"sha256:4ee946015080bd7cc3c2398a4206b550e450e0610510a5cf1cf4d72a05cf99d9","observation_id":"1674c28d-3627-4080-84b6-33ed303656a6","resolution":{"observed_at":"2026-08-03T11:41:14.734347Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2507.23348","last_updated":"2025-07-31T08:54:46Z","snapshot_observed_at":"2026-08-07T11:34:17.172064Z","submitted_at":"2025-07-31T08:54:46Z","title":"SWE-Debate: Competitive Multi-Agent Debate for Software Issue Resolution","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2507.23348","snapshot_observed_at":"2026-08-03T11:41:14.736467Z","title":"Swe-debate: Competitive multi-agent debate for software issue resolution,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.05485","last_updated":"2026-07-29T08:53:02Z","snapshot_observed_at":"2026-08-08T07:35:13.776475Z","submitted_at":"2026-01-09T02:38:24Z","title":"Readability-Robust Code Summarization via Meta Curriculum Learning","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-03T11:41:14.736467Z"},"links":{"cited_paper":"/paper/2507.23348","citing_paper":"/paper/2601.05485"},"observation_digest":"sha256:6a59ebf89454ed238a0426d2a41d4429dd27ccbc2d7660f53fc49fc24ed7bef3","observation_id":"125af946-d7d3-43f0-b689-60a9fbb53f56","resolution":{"observed_at":"2026-08-03T11:41:14.736467Z","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":"2026-08-03T11:41:14.738789Z","title":"The impact of identifier style on effort and compre- hension,","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2601.05485","last_updated":"2026-07-29T08:53:02Z","snapshot_observed_at":"2026-08-08T07:35:13.776475Z","submitted_at":"2026-01-09T02:38:24Z","title":"Readability-Robust Code Summarization via Meta Curriculum Learning","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-03T11:41:14.738789Z"},"links":{"citing_paper":"/paper/2601.05485"},"observation_digest":"sha256:43a14b4e1141cb790d6b776294ef87ae482bd2bd53fd82b845dff86253600fb5","observation_id":"41e1de39-4890-49c9-b668-60ea085cdfdd","resolution":{"observed_at":"2026-08-03T11:41:14.738789Z","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":"2026-08-03T11:41:14.740871Z","title":"Clawsat: Towards both robust and accurate code models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.05485","last_updated":"2026-07-29T08:53:02Z","snapshot_observed_at":"2026-08-08T07:35:13.776475Z","submitted_at":"2026-01-09T02:38:24Z","title":"Readability-Robust Code Summarization via Meta Curriculum Learning","version":2},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-03T11:41:14.740871Z"},"links":{"citing_paper":"/paper/2601.05485"},"observation_digest":"sha256:fba54e1b9b3b1e2551f438638f57b7b61818a9d8d71b20b162fefadbf7e4ffc3","observation_id":"78e2dc91-a1ed-48eb-a9dd-6787723754dd","resolution":{"observed_at":"2026-08-03T11:41:14.740871Z","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":"2026-08-03T11:41:14.742977Z","title":"Meta-curriculum learning for domain adaptation in neural machine translation,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2601.05485","last_updated":"2026-07-29T08:53:02Z","snapshot_observed_at":"2026-08-08T07:35:13.776475Z","submitted_at":"2026-01-09T02:38:24Z","title":"Readability-Robust Code Summarization via Meta Curriculum Learning","version":2},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-03T11:41:14.742977Z"},"links":{"citing_paper":"/paper/2601.05485"},"observation_digest":"sha256:f07f8821e2f7569f74e1780fe515fff950626a768e918ecc9b0c9a5452ad4818","observation_id":"2917fde9-6f3f-478e-aea9-5578e7855c2b","resolution":{"observed_at":"2026-08-03T11:41:14.742977Z","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":"2026-08-03T11:41:14.745213Z","title":"On the evaluation of neural code summarization,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2601.05485","last_updated":"2026-07-29T08:53:02Z","snapshot_observed_at":"2026-08-08T07:35:13.776475Z","submitted_at":"2026-01-09T02:38:24Z","title":"Readability-Robust Code Summarization via Meta Curriculum Learning","version":2},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-03T11:41:14.745213Z"},"links":{"citing_paper":"/paper/2601.05485"},"observation_digest":"sha256:39964968528f18b8cadf3bb1725dccb7cab6e6d9b0f58327a997f14f444a95ee","observation_id":"dcb87cb7-0461-4aef-b16a-c3df9b3d581e","resolution":{"observed_at":"2026-08-03T11:41:14.745213Z","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":"2026-08-03T11:41:14.721093Z","title":"Available: https://aclanthology.org/2020.findings- emnlp.139","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2601.05485","last_updated":"2026-07-29T08:53:02Z","snapshot_observed_at":"2026-08-08T07:35:13.776475Z","submitted_at":"2026-01-09T02:38:24Z","title":"Readability-Robust Code Summarization via Meta Curriculum Learning","version":2},"reference_index":1547,"source":"pdf_text","source_observed_at":"2026-08-03T11:41:14.721093Z"},"links":{"citing_paper":"/paper/2601.05485"},"observation_digest":"sha256:70b798874508886c770342eb82ca6baeb0cd4d63ab54025d45c1e6a5a0c5ad23","observation_id":"6361f2c0-d169-4c91-9a6a-288ddcb1014f","resolution":{"observed_at":"2026-08-03T11:41:14.721093Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2601.05485","last_updated":"2026-07-29T08:53:02Z","latest_version":2,"primary_category":"cs.SE","snapshot_observed_at":"2026-08-08T07:35:13.776475Z","submitted_at":"2026-01-09T02:38:24Z","title":"Readability-Robust Code Summarization via Meta Curriculum Learning"},"reference_resolution":{"displayed":60,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":60,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":60},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 3 inbound Pith citation observations for arXiv:2601.05485."}