{"as_of":"2026-08-20T19:21:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:396f76e448ad75bd53454ca3d86ebd3abae6408c6ce362b063104d36659766ea","coverage":[{"denominator":5,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-02T08:13:20.294217Z","state":"measured"},{"denominator":6,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":6,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-20T06:33:59.587034+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T14:19:09.494438Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-15T14:19:09.959877Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2607.07738","last_updated":"2026-07-24T13:29:41Z","snapshot_observed_at":"2026-08-16T23:34:43.691234Z","submitted_at":"2026-07-07T23:17:03Z","title":"REFORGE: A Method for Benchmarking LLMs' Reverse Engineering Capabilities in Decompiled Binary Function Naming","version":2},"cited_work":{"arxiv_id":"2607.07738","doi":null,"metadata_source":"pith","pith_arxiv_id":"2607.07738","snapshot_observed_at":"2026-08-15T14:19:09.959877Z","title":"REFORGE: A Method for Benchmarking LLMs' Reverse Engineering Capabilities in Decompiled Binary Function Naming","venue":"cs.SE","work_id":"a39f717b-8cf6-4e0a-9b40-50c9ecf3e0d1","year":2026},"citing_paper":{"arxiv_id":"2608.11469","last_updated":"2026-08-11T22:14:57Z","snapshot_observed_at":"2026-08-18T22:13:32.845752Z","submitted_at":"2026-08-11T22:14:57Z","title":"The Next Challenge for Agentic Cybersecurity: A Realistic, Contamination-Free Reverse Engineering Benchmark","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-15T14:19:09.494438Z"},"links":{"cited_paper":"/paper/2607.07738","citing_paper":"/paper/2608.11469"},"observation_digest":"sha256:a94f8b6ab3ac2f7f645b17644011573d91ba2c7a64e860d84bc31ad9d795e575","observation_id":"89e9e2b8-9263-4ed2-ba8a-f2fbeccc797a","resolution":{"observed_at":"2026-08-15T14:19:09.966622Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2607.07738/citation-record","integrity":"/paper/2607.07738/integrity","json":"/paper/2607.07738/citation-record.json","paper":"/paper/2607.07738"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T08:13:19.930676Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.07738","last_updated":"2026-07-24T13:29:41Z","snapshot_observed_at":"2026-08-16T23:34:43.691234Z","submitted_at":"2026-07-07T23:17:03Z","title":"REFORGE: A Method for Benchmarking LLMs' Reverse Engineering Capabilities in Decompiled Binary Function Naming","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-02T08:13:19.930676Z"},"links":{"citing_paper":"/paper/2607.07738"},"observation_digest":"sha256:af9987bafea17593dbc2ef6614474e27947cf1de712b7d3d9ced7611e03734c9","observation_id":"cfe09d32-9719-4fc6-a6b3-42f284f884b4","resolution":{"observed_at":"2026-08-02T08:13:19.930676Z","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":"2026-08-02T08:13:20.130628Z","title":"4327–4343)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.07738","last_updated":"2026-07-24T13:29:41Z","snapshot_observed_at":"2026-08-16T23:34:43.691234Z","submitted_at":"2026-07-07T23:17:03Z","title":"REFORGE: A Method for Benchmarking LLMs' Reverse Engineering Capabilities in Decompiled Binary Function Naming","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-02T08:13:20.130628Z"},"links":{"citing_paper":"/paper/2607.07738"},"observation_digest":"sha256:6ab4bcdf71975535f39177fba63d994976a6f08a9ad52bf7d145f3c8ae2f24c8","observation_id":"f2167515-2452-4d87-a3fc-34de9d0d494b","resolution":{"observed_at":"2026-08-02T08:13:20.130628Z","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":"2026-08-02T08:13:20.218875Z","title":"379 –396)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.07738","last_updated":"2026-07-24T13:29:41Z","snapshot_observed_at":"2026-08-16T23:34:43.691234Z","submitted_at":"2026-07-07T23:17:03Z","title":"REFORGE: A Method for Benchmarking LLMs' Reverse Engineering Capabilities in Decompiled Binary Function Naming","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-02T08:13:20.218875Z"},"links":{"citing_paper":"/paper/2607.07738"},"observation_digest":"sha256:e483985e86b0351fc9ffb73f562024913862a1587ea39b9e9aaf377bf8528f97","observation_id":"679be34b-c4d0-4a8f-86cc-e61258d3b46d","resolution":{"observed_at":"2026-08-02T08:13:20.218875Z","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":"2026-08-02T08:13:20.030633Z","title":"J., Le Goues, C., Neubig, G., & Vasilescu, B","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.07738","last_updated":"2026-07-24T13:29:41Z","snapshot_observed_at":"2026-08-16T23:34:43.691234Z","submitted_at":"2026-07-07T23:17:03Z","title":"REFORGE: A Method for Benchmarking LLMs' Reverse Engineering Capabilities in Decompiled Binary Function Naming","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-02T08:13:20.030633Z"},"links":{"citing_paper":"/paper/2607.07738"},"observation_digest":"sha256:31be87de73ea25bd57b18d54e3e1449188ef0f8355b935223af85a2accca6d6c","observation_id":"45dd8146-103f-41cd-821b-ccde7335d3f5","resolution":{"observed_at":"2026-08-02T08:13:20.030633Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.07360","last_updated":"2025-05-12T08:54:07Z","snapshot_observed_at":"2026-08-19T14:25:56.596520Z","submitted_at":"2025-05-12T08:54:07Z","title":"BinMetric: A Comprehensive Binary Analysis Benchmark for Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.07360","snapshot_observed_at":"2026-08-02T08:13:20.294217Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.07738","last_updated":"2026-07-24T13:29:41Z","snapshot_observed_at":"2026-08-16T23:34:43.691234Z","submitted_at":"2026-07-07T23:17:03Z","title":"REFORGE: A Method for Benchmarking LLMs' Reverse Engineering Capabilities in Decompiled Binary Function Naming","version":2},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-02T08:13:20.294217Z"},"links":{"cited_paper":"/paper/2505.07360","citing_paper":"/paper/2607.07738"},"observation_digest":"sha256:6806eaa803c562d91e534b6048d609f8afdc8a88bcc2c9fefefb4c53b4308bfb","observation_id":"79b4194c-7679-459c-b4ba-e5d1fe539c2b","resolution":{"observed_at":"2026-08-02T08:13:20.294217Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.07738","last_updated":"2026-07-24T13:29:41Z","latest_version":2,"primary_category":"cs.SE","snapshot_observed_at":"2026-08-16T23:34:43.691234Z","submitted_at":"2026-07-07T23:17:03Z","title":"REFORGE: A Method for Benchmarking LLMs' Reverse Engineering Capabilities in Decompiled Binary Function Naming"},"reference_resolution":{"displayed":5,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":5,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":5},"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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 5 of 5 outbound references and 1 inbound Pith citation observation for arXiv:2607.07738."}