{"as_of":"2026-08-08T23:12:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d9c8d9800559531775227999b614aa8d45dce95436dd72895ebb0f0b12a68894","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":23,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":23,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":23,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":23,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:49:35.726058Z","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":3,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2402.16906","last_updated":"2024-06-06T06:01:41Z","snapshot_observed_at":"2026-08-07T19:17:41.215934Z","submitted_at":"2024-02-25T00:56:27Z","title":"Debug like a Human: A Large Language Model Debugger via Verifying Runtime Execution Step-by-step","version":6},"cited_work":{"arxiv_id":"2402.16906","doi":"10.48550/arxiv.2402.16906","metadata_source":"arxiv_reference","pith_arxiv_id":"2402.16906","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Ldb: A large language model debugger via verifying runtime execution step-by-step","venue":"arXiv (Cornell University)","work_id":"cb2c1bad-c0bf-433f-8f28-157a1892a3c3","year":2024},"citing_paper":{"arxiv_id":"2412.04590","last_updated":"2026-05-02T06:45:41Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-12-05T20:10:21Z","title":"Specification-Driven Code Translation Powered by Large Language Models: How Far Are We?","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-23T07:35:19.736921Z"},"links":{"cited_paper":"/paper/2402.16906","citing_paper":"/paper/2412.04590"},"observation_digest":"sha256:a36dd0a103166ca0662da1793595a8d170a0c9820f64cd225946ca4a9f6b15c1","observation_id":"04a7b415-3d41-4651-9b90-e8370852942a","resolution":{"observed_at":"2026-05-23T07:35:28.768708Z","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":"2402.16906","last_updated":"2024-06-06T06:01:41Z","snapshot_observed_at":"2026-08-07T19:17:41.215934Z","submitted_at":"2024-02-25T00:56:27Z","title":"Debug like a Human: A Large Language Model Debugger via Verifying Runtime Execution Step-by-step","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.16906","snapshot_observed_at":"2026-08-07T14:49:35.726058Z","title":"Debug like a human: A large language model debugger via verifying runtime execution step-by-step.arXiv preprint arXiv:2402.16906, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.17481","last_updated":"2025-05-23T05:21:11Z","snapshot_observed_at":"2026-08-07T21:56:32.010090Z","submitted_at":"2025-05-23T05:21:11Z","title":"MARCO: Meta-Reflection with Cross-Referencing for Code Reasoning","version":1},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-07T14:49:35.726058Z"},"links":{"cited_paper":"/paper/2402.16906","citing_paper":"/paper/2505.17481"},"observation_digest":"sha256:ca9d429127668a3a633c53c4f7350d526f133f5e9a52cbffbb9f86999fb8e467","observation_id":"6439f9ff-47aa-407f-b472-50c46a5dbb26","resolution":{"observed_at":"2026-08-07T14:49:35.726058Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.16906","last_updated":"2024-06-06T06:01:41Z","snapshot_observed_at":"2026-08-07T19:17:41.215934Z","submitted_at":"2024-02-25T00:56:27Z","title":"Debug like a Human: A Large Language Model Debugger via Verifying Runtime Execution Step-by-step","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.16906","snapshot_observed_at":"2026-08-07T12:42:48.385369Z","title":"Ldb: A large language model debugger via verifying runtime execution step-by-step,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.23953","last_updated":"2025-05-29T19:06:14Z","snapshot_observed_at":"2026-08-07T12:35:45.395113Z","submitted_at":"2025-05-29T19:06:14Z","title":"Enhancing LLM-Based Code Generation with Complexity Metrics: A Feedback-Driven Approach","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T12:42:48.385369Z"},"links":{"cited_paper":"/paper/2402.16906","citing_paper":"/paper/2505.23953"},"observation_digest":"sha256:7fcfb85537a45bd3c0e699e6104fb29e7e68a8595cf92f91e883fd2ecea5bbd0","observation_id":"e48c0abb-38b3-46e7-a054-709324835ec9","resolution":{"observed_at":"2026-08-07T12:42:48.385369Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.16906","last_updated":"2024-06-06T06:01:41Z","snapshot_observed_at":"2026-08-07T19:17:41.215934Z","submitted_at":"2024-02-25T00:56:27Z","title":"Debug like a Human: A Large Language Model Debugger via Verifying Runtime Execution Step-by-step","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.16906","snapshot_observed_at":"2026-08-07T00:24:14.998105Z","title":"Ldb: A large language model debugger via verifying runtime execution step-by-step.arXiv preprint arXiv:2402.16906, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.14234","last_updated":"2025-06-17T06:47:19Z","snapshot_observed_at":"2026-08-08T01:52:09.540838Z","submitted_at":"2025-06-17T06:47:19Z","title":"Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-07T00:24:14.998105Z"},"links":{"cited_paper":"/paper/2402.16906","citing_paper":"/paper/2506.14234"},"observation_digest":"sha256:f9802cb7650abef19f53112b432981888fd8cc199e2b050eeba3d234bf10bfcd","observation_id":"f1a9f071-1258-4a48-8b0f-b0dc9ec1bbdf","resolution":{"observed_at":"2026-08-07T00:24:14.998105Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.16906","last_updated":"2024-06-06T06:01:41Z","snapshot_observed_at":"2026-08-07T19:17:41.215934Z","submitted_at":"2024-02-25T00:56:27Z","title":"Debug like a Human: A Large Language Model Debugger via Verifying Runtime Execution Step-by-step","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.16906","snapshot_observed_at":"2026-08-06T23:35:06.211001Z","title":"The knowledge fully matches the write- up and accurately reflects its content","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.17644","last_updated":"2025-06-21T08:56:20Z","snapshot_observed_at":"2026-08-07T23:27:30.726322Z","submitted_at":"2025-06-21T08:56:20Z","title":"Measuring and Augmenting Large Language Models for Solving Capture-the-Flag Challenges","version":1},"reference_index":98,"source":"pdf_text","source_observed_at":"2026-08-06T23:35:06.211001Z"},"links":{"cited_paper":"/paper/2402.16906","citing_paper":"/paper/2506.17644"},"observation_digest":"sha256:8dd5e3e7e26f7f06863cb5c996dc4e2b80143e7b9f1455a199a32fcf7a4583b2","observation_id":"234bcb10-d3a6-47f2-bc4d-fe64c78c9cb2","resolution":{"observed_at":"2026-08-06T23:35:06.211001Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.16906","last_updated":"2024-06-06T06:01:41Z","snapshot_observed_at":"2026-08-07T19:17:41.215934Z","submitted_at":"2024-02-25T00:56:27Z","title":"Debug like a Human: A Large Language Model Debugger via Verifying Runtime Execution Step-by-step","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.16906","snapshot_observed_at":"2026-08-06T14:50:28.075565Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.17548","last_updated":"2025-07-23T14:26:58Z","snapshot_observed_at":"2026-08-06T14:43:53.674757Z","submitted_at":"2025-07-23T14:26:58Z","title":"CodeReasoner: Enhancing the Code Reasoning Ability with Reinforcement Learning","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-06T14:50:28.075565Z"},"links":{"cited_paper":"/paper/2402.16906","citing_paper":"/paper/2507.17548"},"observation_digest":"sha256:22846fbd8a1297e69a40b54c6ed4d1ba3d4ac25b98402746b8d7256b275335c9","observation_id":"880d12be-9dc4-422d-9236-c69685b58a62","resolution":{"observed_at":"2026-08-06T14:50:28.075565Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.16906","last_updated":"2024-06-06T06:01:41Z","snapshot_observed_at":"2026-08-07T19:17:41.215934Z","submitted_at":"2024-02-25T00:56:27Z","title":"Debug like a Human: A Large Language Model Debugger via Verifying Runtime Execution Step-by-step","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.16906","snapshot_observed_at":"2026-08-06T14:25:15.861206Z","title":"Debug like a human: A large language model debugger via verifying runtime execution step-by-step, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.19399","last_updated":"2025-07-25T16:06:16Z","snapshot_observed_at":"2026-08-07T13:02:25.826266Z","submitted_at":"2025-07-25T16:06:16Z","title":"Running in CIRCLE? A Simple Benchmark for LLM Code Interpreter Security","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-06T14:25:15.861206Z"},"links":{"cited_paper":"/paper/2402.16906","citing_paper":"/paper/2507.19399"},"observation_digest":"sha256:f62759138b0d292c1a387400c0cd44f3ddc8d2e32acbc8bef4655049652c4b5a","observation_id":"cb38483e-6e4a-4f33-898d-fb433cae4d56","resolution":{"observed_at":"2026-08-06T14:25:15.861206Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.16906","last_updated":"2024-06-06T06:01:41Z","snapshot_observed_at":"2026-08-07T19:17:41.215934Z","submitted_at":"2024-02-25T00:56:27Z","title":"Debug like a Human: A Large Language Model Debugger via Verifying Runtime Execution Step-by-step","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.16906","snapshot_observed_at":"2026-08-06T12:46:40.769641Z","title":"Ldb: A large language model debugger via verifying runtime execution step-by-step,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.21485","last_updated":"2025-07-29T03:59:19Z","snapshot_observed_at":"2026-08-06T12:46:40.103579Z","submitted_at":"2025-07-29T03:59:19Z","title":"HLSDebugger: Identification and Correction of Logic Bugs in HLS Code with LLM Solutions","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T12:46:40.769641Z"},"links":{"cited_paper":"/paper/2402.16906","citing_paper":"/paper/2507.21485"},"observation_digest":"sha256:e7fce9ec5cf0ea527391f7f953cd1b052d0920613d68812755fa8591d7cafc84","observation_id":"5e17f278-5263-41ab-abdf-1c10041c4853","resolution":{"observed_at":"2026-08-06T12:46:40.769641Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.16906","last_updated":"2024-06-06T06:01:41Z","snapshot_observed_at":"2026-08-07T19:17:41.215934Z","submitted_at":"2024-02-25T00:56:27Z","title":"Debug like a Human: A Large Language Model Debugger via Verifying Runtime Execution Step-by-step","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.16906","snapshot_observed_at":"2026-08-05T22:09:46.518940Z","title":"Debug like a human: A large language model debugger via verifying runtime execution step-by-step","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.07434","last_updated":"2025-08-10T17:11:56Z","snapshot_observed_at":"2026-08-07T02:35:17.826871Z","submitted_at":"2025-08-10T17:11:56Z","title":"Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-05T22:09:46.518940Z"},"links":{"cited_paper":"/paper/2402.16906","citing_paper":"/paper/2508.07434"},"observation_digest":"sha256:ff4d11f36a250e072b8081bf9c56fc4f459fe6494c154c3e5e4839671dd4a94a","observation_id":"138b9b54-5a36-400d-9835-0d97c8b54655","resolution":{"observed_at":"2026-08-05T22:09:46.518940Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.16906","last_updated":"2024-06-06T06:01:41Z","snapshot_observed_at":"2026-08-07T19:17:41.215934Z","submitted_at":"2024-02-25T00:56:27Z","title":"Debug like a Human: A Large Language Model Debugger via Verifying Runtime Execution Step-by-step","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.16906","snapshot_observed_at":"2026-08-05T11:39:14.083993Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.02330","last_updated":"2025-09-02T13:58:48Z","snapshot_observed_at":"2026-08-05T11:39:05.819788Z","submitted_at":"2025-09-02T13:58:48Z","title":"ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented Generation","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:14.083993Z"},"links":{"cited_paper":"/paper/2402.16906","citing_paper":"/paper/2509.02330"},"observation_digest":"sha256:e873fb354cd7b2e26250daca95841ec292433469ef0a2f3bc27d91be1885fa22","observation_id":"e1d02a06-62f1-441f-a554-2ccef80e06e9","resolution":{"observed_at":"2026-08-05T11:39:14.083993Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.16906","last_updated":"2024-06-06T06:01:41Z","snapshot_observed_at":"2026-08-07T19:17:41.215934Z","submitted_at":"2024-02-25T00:56:27Z","title":"Debug like a Human: A Large Language Model Debugger via Verifying Runtime Execution Step-by-step","version":6},"cited_work":{"arxiv_id":"2402.16906","doi":"10.48550/arxiv.2402.16906","metadata_source":"arxiv_reference","pith_arxiv_id":"2402.16906","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Ldb: A large language model debugger via verifying runtime execution step-by-step","venue":"arXiv (Cornell University)","work_id":"cb2c1bad-c0bf-433f-8f28-157a1892a3c3","year":2024},"citing_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},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-05-16T18:04:56.915339Z"},"links":{"cited_paper":"/paper/2402.16906","citing_paper":"/paper/2601.00376"},"observation_digest":"sha256:6188f5436ffd72bf9e04d91cfd2e3c82d3f24176ab08189a47e7c286252aaa5a","observation_id":"e7b0c769-9aa3-437d-9e2f-29051d296fb2","resolution":{"observed_at":"2026-05-16T18:08:12.808019Z","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":"2402.16906","last_updated":"2024-06-06T06:01:41Z","snapshot_observed_at":"2026-08-07T19:17:41.215934Z","submitted_at":"2024-02-25T00:56:27Z","title":"Debug like a Human: A Large Language Model Debugger via Verifying Runtime Execution Step-by-step","version":6},"cited_work":{"arxiv_id":"2402.16906","doi":"10.48550/arxiv.2402.16906","metadata_source":"arxiv_reference","pith_arxiv_id":"2402.16906","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Ldb: A large language model debugger via verifying runtime execution step-by-step","venue":"arXiv (Cornell University)","work_id":"cb2c1bad-c0bf-433f-8f28-157a1892a3c3","year":2024},"citing_paper":{"arxiv_id":"2602.18571","last_updated":"2026-04-21T09:32:53Z","snapshot_observed_at":"2026-07-06T22:46:35.212918Z","submitted_at":"2026-02-20T19:24:16Z","title":"Debug2Fix: Can Interactive Debugging Help Coding Agents Fix More Bugs?","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-15T20:17:52.610119Z"},"links":{"cited_paper":"/paper/2402.16906","citing_paper":"/paper/2602.18571"},"observation_digest":"sha256:5aeb7a50fa8ae775471c88578c96adb0779376f7a45d86af89ef06f92f9f8a97","observation_id":"e6e73bf9-4857-48a0-bdd4-8c8853180c78","resolution":{"observed_at":"2026-05-15T20:20:17.842508Z","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":"2402.16906","last_updated":"2024-06-06T06:01:41Z","snapshot_observed_at":"2026-08-07T19:17:41.215934Z","submitted_at":"2024-02-25T00:56:27Z","title":"Debug like a Human: A Large Language Model Debugger via Verifying Runtime Execution Step-by-step","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.16906","snapshot_observed_at":"2026-07-13T20:28:38.179448Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2603.22044","last_updated":"2026-06-25T08:16:00Z","snapshot_observed_at":"2026-08-02T23:09:25.243534Z","submitted_at":"2026-03-23T14:43:18Z","title":"Detection Time Distribution Predicted Using Absorbing Boundary Conditions and Imaginary Potentials","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-07-13T20:28:38.179448Z"},"links":{"cited_paper":"/paper/2402.16906","citing_paper":"/paper/2603.22044"},"observation_digest":"sha256:393972bfaf2157e1bbc88896f2f63851e8719774e850b4b09298a2f1fb8261b9","observation_id":"423b9b4e-3673-43b2-8a38-ecff1cf43351","resolution":{"observed_at":"2026-07-13T20:28:38.179448Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.16906","last_updated":"2024-06-06T06:01:41Z","snapshot_observed_at":"2026-08-07T19:17:41.215934Z","submitted_at":"2024-02-25T00:56:27Z","title":"Debug like a Human: A Large Language Model Debugger via Verifying Runtime Execution Step-by-step","version":6},"cited_work":{"arxiv_id":"2402.16906","doi":"10.48550/arxiv.2402.16906","metadata_source":"arxiv_reference","pith_arxiv_id":"2402.16906","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Ldb: A large language model debugger via verifying runtime execution step-by-step","venue":"arXiv (Cornell University)","work_id":"cb2c1bad-c0bf-433f-8f28-157a1892a3c3","year":2024},"citing_paper":{"arxiv_id":"2603.22048","last_updated":"2026-07-02T11:16:58Z","snapshot_observed_at":"2026-08-02T12:00:09.269909Z","submitted_at":"2026-03-23T14:48:54Z","title":"Dynamic analysis enhances issue resolution","version":4},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-15T00:45:55.460545Z"},"links":{"cited_paper":"/paper/2402.16906","citing_paper":"/paper/2603.22048"},"observation_digest":"sha256:b8016ef172f4f34414096eb09bde9ea1461cf0039a27488b19a89dd3daad202f","observation_id":"647f40af-d011-4e14-a6bc-f4ae8690cf05","resolution":{"observed_at":"2026-05-15T00:48:24.895620Z","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":"2402.16906","last_updated":"2024-06-06T06:01:41Z","snapshot_observed_at":"2026-08-07T19:17:41.215934Z","submitted_at":"2024-02-25T00:56:27Z","title":"Debug like a Human: A Large Language Model Debugger via Verifying Runtime Execution Step-by-step","version":6},"cited_work":{"arxiv_id":"2402.16906","doi":"10.48550/arxiv.2402.16906","metadata_source":"arxiv_reference","pith_arxiv_id":"2402.16906","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Ldb: A large language model debugger via verifying runtime execution step-by-step","venue":"arXiv (Cornell University)","work_id":"cb2c1bad-c0bf-433f-8f28-157a1892a3c3","year":2024},"citing_paper":{"arxiv_id":"2604.10449","last_updated":"2026-04-12T04:15:31Z","snapshot_observed_at":"2026-07-06T22:59:05.519456Z","submitted_at":"2026-04-12T04:15:31Z","title":"AdverMCTS: Combating Pseudo-Correctness in Code Generation via Adversarial Monte Carlo Tree Search","version":1},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-05-10T16:35:16.056397Z"},"links":{"cited_paper":"/paper/2402.16906","citing_paper":"/paper/2604.10449"},"observation_digest":"sha256:56d06c3c8e93dc623de006f68809bb14655629d35340e70ea8052d975f7efdda","observation_id":"4e80d75e-b4bc-487a-a323-cd5751583e95","resolution":{"observed_at":"2026-05-11T08:40:57.597712Z","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":"2402.16906","last_updated":"2024-06-06T06:01:41Z","snapshot_observed_at":"2026-08-07T19:17:41.215934Z","submitted_at":"2024-02-25T00:56:27Z","title":"Debug like a Human: A Large Language Model Debugger via Verifying Runtime Execution Step-by-step","version":6},"cited_work":{"arxiv_id":"2402.16906","doi":"10.48550/arxiv.2402.16906","metadata_source":"arxiv_reference","pith_arxiv_id":"2402.16906","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Ldb: A large language model debugger via verifying runtime execution step-by-step","venue":"arXiv (Cornell University)","work_id":"cb2c1bad-c0bf-433f-8f28-157a1892a3c3","year":2024},"citing_paper":{"arxiv_id":"2604.10508","last_updated":"2026-04-12T07:51:41Z","snapshot_observed_at":"2026-07-06T22:59:09.778842Z","submitted_at":"2026-04-12T07:51:41Z","title":"How Many Tries Does It Take? Iterative Self-Repair in LLM Code Generation Across Model Scales and Benchmarks","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-10T16:14:52.614444Z"},"links":{"cited_paper":"/paper/2402.16906","citing_paper":"/paper/2604.10508"},"observation_digest":"sha256:b68331ff09a62268c5abc1fdbb869f6773ab099ea533e05b24890810d88a84ef","observation_id":"3123ca8f-b908-45bc-b825-786b8f5e1c02","resolution":{"observed_at":"2026-05-11T09:06:00.395039Z","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":"2402.16906","last_updated":"2024-06-06T06:01:41Z","snapshot_observed_at":"2026-08-07T19:17:41.215934Z","submitted_at":"2024-02-25T00:56:27Z","title":"Debug like a Human: A Large Language Model Debugger via Verifying Runtime Execution Step-by-step","version":6},"cited_work":{"arxiv_id":"2402.16906","doi":"10.48550/arxiv.2402.16906","metadata_source":"arxiv_reference","pith_arxiv_id":"2402.16906","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Ldb: A large language model debugger via verifying runtime execution step-by-step","venue":"arXiv (Cornell University)","work_id":"cb2c1bad-c0bf-433f-8f28-157a1892a3c3","year":2024},"citing_paper":{"arxiv_id":"2605.07358","last_updated":"2026-05-26T05:21:04Z","snapshot_observed_at":"2026-07-06T23:19:46.018236Z","submitted_at":"2026-05-08T07:10:26Z","title":"A Comprehensive Survey on Agent Skills: Taxonomy, Techniques, and Applications","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-05-11T01:47:39.926540Z"},"links":{"cited_paper":"/paper/2402.16906","citing_paper":"/paper/2605.07358"},"observation_digest":"sha256:10cf289be8a85f9672a050f5fcf7a47327b9059b977ea91269356bfbd09f3e2d","observation_id":"151509f8-ab1c-4d19-952d-34cb0ad2a0c3","resolution":{"observed_at":"2026-05-11T04:20:57.021636Z","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":"2402.16906","last_updated":"2024-06-06T06:01:41Z","snapshot_observed_at":"2026-08-07T19:17:41.215934Z","submitted_at":"2024-02-25T00:56:27Z","title":"Debug like a Human: A Large Language Model Debugger via Verifying Runtime Execution Step-by-step","version":6},"cited_work":{"arxiv_id":"2402.16906","doi":"10.48550/arxiv.2402.16906","metadata_source":"arxiv_reference","pith_arxiv_id":"2402.16906","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Ldb: A large language model debugger via verifying runtime execution step-by-step","venue":"arXiv (Cornell University)","work_id":"cb2c1bad-c0bf-433f-8f28-157a1892a3c3","year":2024},"citing_paper":{"arxiv_id":"2605.07358","last_updated":"2026-05-26T05:21:04Z","snapshot_observed_at":"2026-07-06T23:19:46.018236Z","submitted_at":"2026-05-08T07:10:26Z","title":"A Comprehensive Survey on Agent Skills: Taxonomy, Techniques, and Applications","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-05-20T23:15:44.550045Z"},"links":{"cited_paper":"/paper/2402.16906","citing_paper":"/paper/2605.07358"},"observation_digest":"sha256:4431b848de9b2c592c1423f1a1cc75cdbabebd8112c5735e50de88e358710c1f","observation_id":"9bbb7300-3ad0-4605-b27a-e1643094d53b","resolution":{"observed_at":"2026-05-20T23:19:15.120133Z","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":"2402.16906","last_updated":"2024-06-06T06:01:41Z","snapshot_observed_at":"2026-08-07T19:17:41.215934Z","submitted_at":"2024-02-25T00:56:27Z","title":"Debug like a Human: A Large Language Model Debugger via Verifying Runtime Execution Step-by-step","version":6},"cited_work":{"arxiv_id":"2402.16906","doi":"10.48550/arxiv.2402.16906","metadata_source":"arxiv_reference","pith_arxiv_id":"2402.16906","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Ldb: A large language model debugger via verifying runtime execution step-by-step","venue":"arXiv (Cornell University)","work_id":"cb2c1bad-c0bf-433f-8f28-157a1892a3c3","year":2024},"citing_paper":{"arxiv_id":"2605.07358","last_updated":"2026-05-26T05:21:04Z","snapshot_observed_at":"2026-07-06T23:19:46.018236Z","submitted_at":"2026-05-08T07:10:26Z","title":"A Comprehensive Survey on Agent Skills: Taxonomy, Techniques, and Applications","version":3},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-06-30T23:23:42.883286Z"},"links":{"cited_paper":"/paper/2402.16906","citing_paper":"/paper/2605.07358"},"observation_digest":"sha256:79baadcc5055e77a3e95285415f60e2bd0cb140f314b9a1828f623343338f4f2","observation_id":"08a2cae3-f3c1-48f9-a53e-f567bd35fa8e","resolution":{"observed_at":"2026-06-30T23:25:07.438777Z","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":"2402.16906","last_updated":"2024-06-06T06:01:41Z","snapshot_observed_at":"2026-08-07T19:17:41.215934Z","submitted_at":"2024-02-25T00:56:27Z","title":"Debug like a Human: A Large Language Model Debugger via Verifying Runtime Execution Step-by-step","version":6},"cited_work":{"arxiv_id":"2402.16906","doi":"10.48550/arxiv.2402.16906","metadata_source":"arxiv_reference","pith_arxiv_id":"2402.16906","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Ldb: A large language model debugger via verifying runtime execution step-by-step","venue":"arXiv (Cornell University)","work_id":"cb2c1bad-c0bf-433f-8f28-157a1892a3c3","year":2024},"citing_paper":{"arxiv_id":"2605.11922","last_updated":"2026-05-12T10:36:56Z","snapshot_observed_at":"2026-07-06T23:23:39.723268Z","submitted_at":"2026-05-12T10:36:56Z","title":"StepCodeReasoner: Aligning Code Reasoning with Stepwise Execution Traces via Reinforcement Learning","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-05-13T05:27:37.521421Z"},"links":{"cited_paper":"/paper/2402.16906","citing_paper":"/paper/2605.11922"},"observation_digest":"sha256:ffe5456f2fe73267977f2b1fb8db98fc3aa8c39b20332734b553200cc3cb4072","observation_id":"d59e8a9a-00b7-4d77-b013-f328f93e4991","resolution":{"observed_at":"2026-05-13T05:32:20.209348Z","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"}},{"citation":{"cited_paper":{"arxiv_id":"2402.16906","last_updated":"2024-06-06T06:01:41Z","snapshot_observed_at":"2026-08-07T19:17:41.215934Z","submitted_at":"2024-02-25T00:56:27Z","title":"Debug like a Human: A Large Language Model Debugger via Verifying Runtime Execution Step-by-step","version":6},"cited_work":{"arxiv_id":"2402.16906","doi":"10.48550/arxiv.2402.16906","metadata_source":"arxiv_reference","pith_arxiv_id":"2402.16906","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Ldb: A large language model debugger via verifying runtime execution step-by-step","venue":"arXiv (Cornell University)","work_id":"cb2c1bad-c0bf-433f-8f28-157a1892a3c3","year":2024},"citing_paper":{"arxiv_id":"2605.19102","last_updated":"2026-05-18T20:42:23Z","snapshot_observed_at":"2026-07-06T23:29:52.061489Z","submitted_at":"2026-05-18T20:42:23Z","title":"Prompt Optimization for LLM Code Generation via Reinforcement Learning","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-20T08:49:36.986452Z"},"links":{"cited_paper":"/paper/2402.16906","citing_paper":"/paper/2605.19102"},"observation_digest":"sha256:3424ea62840bfaa04aed46fd2b29ab1c25350f7d51185ce82ba588068757a319","observation_id":"ee9575bd-67af-4c33-97d7-552400cb5328","resolution":{"observed_at":"2026-05-20T08:53:10.295304Z","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"}},{"citation":{"cited_paper":{"arxiv_id":"2402.16906","last_updated":"2024-06-06T06:01:41Z","snapshot_observed_at":"2026-08-07T19:17:41.215934Z","submitted_at":"2024-02-25T00:56:27Z","title":"Debug like a Human: A Large Language Model Debugger via Verifying Runtime Execution Step-by-step","version":6},"cited_work":{"arxiv_id":"2402.16906","doi":"10.48550/arxiv.2402.16906","metadata_source":"arxiv_reference","pith_arxiv_id":"2402.16906","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Ldb: A large language model debugger via verifying runtime execution step-by-step","venue":"arXiv (Cornell University)","work_id":"cb2c1bad-c0bf-433f-8f28-157a1892a3c3","year":2024},"citing_paper":{"arxiv_id":"2606.00308","last_updated":"2026-05-29T19:34:15Z","snapshot_observed_at":"2026-07-06T23:41:01.066075Z","submitted_at":"2026-05-29T19:34:15Z","title":"How Generation Architecture Shapes Code Complexity in Multi-Agent LLM Systems: A Paired Study on HumanEval","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-06-28T21:14:01.070601Z"},"links":{"cited_paper":"/paper/2402.16906","citing_paper":"/paper/2606.00308"},"observation_digest":"sha256:cd19f0dc978386430ae9aeeefb423d3d946a99acdcf83a18f53c919be6e08626","observation_id":"9b9dc526-1674-4f4b-8bc2-571b80a7c23a","resolution":{"observed_at":"2026-07-01T20:26:12.311180Z","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":"2402.16906","last_updated":"2024-06-06T06:01:41Z","snapshot_observed_at":"2026-08-07T19:17:41.215934Z","submitted_at":"2024-02-25T00:56:27Z","title":"Debug like a Human: A Large Language Model Debugger via Verifying Runtime Execution Step-by-step","version":6},"cited_work":{"arxiv_id":"2402.16906","doi":"10.48550/arxiv.2402.16906","metadata_source":"arxiv_reference","pith_arxiv_id":"2402.16906","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Ldb: A large language model debugger via verifying runtime execution step-by-step","venue":"arXiv (Cornell University)","work_id":"cb2c1bad-c0bf-433f-8f28-157a1892a3c3","year":2024},"citing_paper":{"arxiv_id":"2606.29815","last_updated":"2026-06-29T05:48:42Z","snapshot_observed_at":"2026-08-08T02:01:37.807950Z","submitted_at":"2026-06-29T05:48:42Z","title":"SrDetection: A Self-Referential Framework for Data Leakage Detection in Code Large Language Models","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-06-30T06:20:02.046020Z"},"links":{"cited_paper":"/paper/2402.16906","citing_paper":"/paper/2606.29815"},"observation_digest":"sha256:cf092e096177f35e4054fc37ac6d8ec32326c6661601267360a074f948c3fde7","observation_id":"09042a0b-9425-4295-bc19-d8f1fb10914f","resolution":{"observed_at":"2026-06-30T06:24:18.354146Z","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"}}],"links":{"evidence":"/evidence","html":"/paper/2402.16906/citation-record","integrity":"/paper/2402.16906/integrity","json":"/paper/2402.16906/citation-record.json","paper":"/paper/2402.16906"},"outbound":[],"paper":{"arxiv_id":"2402.16906","last_updated":"2024-06-06T06:01:41Z","latest_version":6,"primary_category":"cs.SE","snapshot_observed_at":"2026-08-07T19:17:41.215934Z","submitted_at":"2024-02-25T00:56:27Z","title":"Debug like a Human: A Large Language Model Debugger via Verifying Runtime Execution Step-by-step"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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 0 of 0 outbound references and 23 inbound Pith citation observations for arXiv:2402.16906."}