{"as_of":"2026-08-08T05:52:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0685b75d607a0c7a0bff578f7099c91b9237891dcd1af9643783dde5edcc6a1c","coverage":[{"denominator":41,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":41,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T13:08:49.296828Z","state":"measured"},{"denominator":41,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":41,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2507.20967/citation-record","integrity":"/paper/2507.20967/integrity","json":"/paper/2507.20967/citation-record.json","paper":"/paper/2507.20967"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T13:08:44.752294Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.20967","last_updated":"2025-07-28T16:22:50Z","snapshot_observed_at":"2026-08-07T05:41:14.324729Z","submitted_at":"2025-07-28T16:22:50Z","title":"PROVCREATOR: Synthesizing Complex Heterogenous Graphs with Node and Edge Attributes","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-06T13:08:44.752294Z"},"links":{"citing_paper":"/paper/2507.20967"},"observation_digest":"sha256:65e52b4361b7661ed83ed2de35955741d05fccccb062392cc513ad9f4720e328","observation_id":"b671ae44-a5a8-4e97-aaf0-e902951951b4","resolution":{"observed_at":"2026-08-06T13:08:44.752294Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T13:08:56.441319Z","title":"https://github.com/linux-audit/, 2015","venue":null,"work_id":"16d3f14e-f605-4da9-a7b4-91877ce04fba","year":2015},"citing_paper":{"arxiv_id":"2507.20967","last_updated":"2025-07-28T16:22:50Z","snapshot_observed_at":"2026-08-07T05:41:14.324729Z","submitted_at":"2025-07-28T16:22:50Z","title":"PROVCREATOR: Synthesizing Complex Heterogenous Graphs with Node and Edge Attributes","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-06T13:08:44.870046Z"},"links":{"citing_paper":"/paper/2507.20967"},"observation_digest":"sha256:d0464ae26f8b31624effe479a3dca5ebfbd2daad0d87cc10f0e054bd4a7967eb","observation_id":"bb75b94d-4eb2-40bb-916e-6c0553f5fdaf","resolution":{"observed_at":"2026-08-06T13:08:56.550252Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T13:08:56.202531Z","title":"https://docs.microsoft.com/en-us/windows-hardware/drivers/devtest/event-tracing-for-windows--etw-, 2019","venue":null,"work_id":"2d1cb7b1-6c77-4e52-880e-7d97603d7feb","year":2019},"citing_paper":{"arxiv_id":"2507.20967","last_updated":"2025-07-28T16:22:50Z","snapshot_observed_at":"2026-08-07T05:41:14.324729Z","submitted_at":"2025-07-28T16:22:50Z","title":"PROVCREATOR: Synthesizing Complex Heterogenous Graphs with Node and Edge Attributes","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-06T13:08:44.960174Z"},"links":{"citing_paper":"/paper/2507.20967"},"observation_digest":"sha256:31ce6f690845b42257125ae740efcf20602cc219476ee911d0f61fe20ffc7f50","observation_id":"4cec9ee3-7b65-474b-b41f-75c1a3369230","resolution":{"observed_at":"2026-08-06T13:08:56.316982Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T13:08:55.959511Z","title":"A learning-based data augmentation for network anomaly detection","venue":null,"work_id":"858fce20-dbd9-45bd-837b-26c05c0adfb6","year":2020},"citing_paper":{"arxiv_id":"2507.20967","last_updated":"2025-07-28T16:22:50Z","snapshot_observed_at":"2026-08-07T05:41:14.324729Z","submitted_at":"2025-07-28T16:22:50Z","title":"PROVCREATOR: Synthesizing Complex Heterogenous Graphs with Node and Edge Attributes","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-06T13:08:45.053658Z"},"links":{"citing_paper":"/paper/2507.20967"},"observation_digest":"sha256:7901c36ddbdb16da75e3d03bf1917d535ea1e6790f85c5739cf5913573206a49","observation_id":"dae6b668-2988-4e94-b36d-dab9e5480588","resolution":{"observed_at":"2026-08-06T13:08:56.088163Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T13:08:55.792395Z","title":"Survivalism: Systematic Analysis of Windows Malware Living-Off-The-Land","venue":null,"work_id":"ec517e7a-732e-4e36-bd8a-d77d96b16880","year":2021},"citing_paper":{"arxiv_id":"2507.20967","last_updated":"2025-07-28T16:22:50Z","snapshot_observed_at":"2026-08-07T05:41:14.324729Z","submitted_at":"2025-07-28T16:22:50Z","title":"PROVCREATOR: Synthesizing Complex Heterogenous Graphs with Node and Edge Attributes","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-06T13:08:45.144348Z"},"links":{"citing_paper":"/paper/2507.20967"},"observation_digest":"sha256:209a9dcbb7788108d702296d71be2cd2af9eae6b4fda6689f68e65aa86360def","observation_id":"0a3864f3-e9e7-4c52-afe0-3d030830dcd5","resolution":{"observed_at":"2026-08-06T13:08:55.853325Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T13:08:55.634687Z","title":null,"venue":null,"work_id":"f868d05d-69ee-45e2-8f9e-abc4556de065","year":2005},"citing_paper":{"arxiv_id":"2507.20967","last_updated":"2025-07-28T16:22:50Z","snapshot_observed_at":"2026-08-07T05:41:14.324729Z","submitted_at":"2025-07-28T16:22:50Z","title":"PROVCREATOR: Synthesizing Complex Heterogenous Graphs with Node and Edge Attributes","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-06T13:08:45.277073Z"},"links":{"citing_paper":"/paper/2507.20967"},"observation_digest":"sha256:f464f810128532b1c7ab6579c18425206be38743204ea1a0ff522c0cc6ee2049","observation_id":"9bdbd87b-0aab-482f-99f9-dc679aee0db7","resolution":{"observed_at":"2026-08-06T13:08:55.726532Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.01073","last_updated":"2025-06-03T16:53:33Z","snapshot_observed_at":"2026-07-06T20:15:40.852454Z","submitted_at":"2025-01-02T05:44:11Z","title":"Graph Generative Pre-trained Transformer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.01073","snapshot_observed_at":"2026-08-06T13:08:45.370911Z","title":"Graph generative pre-trained transformer, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.20967","last_updated":"2025-07-28T16:22:50Z","snapshot_observed_at":"2026-08-07T05:41:14.324729Z","submitted_at":"2025-07-28T16:22:50Z","title":"PROVCREATOR: Synthesizing Complex Heterogenous Graphs with Node and Edge Attributes","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-06T13:08:45.370911Z"},"links":{"cited_paper":"/paper/2501.01073","citing_paper":"/paper/2507.20967"},"observation_digest":"sha256:135c7e5bf661222c5f79876d10da77ebdd21cf67af9332f95e6ba7be310f86a0","observation_id":"3f37a9e1-242d-4686-88ea-e879bcb27e1a","resolution":{"observed_at":"2026-08-06T13:08:45.370911Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.03393","last_updated":"2024-01-16T16:12:14Z","snapshot_observed_at":"2026-08-06T02:12:40.014268Z","submitted_at":"2023-07-07T05:31:31Z","title":"Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.03393","snapshot_observed_at":"2026-08-06T13:08:45.492335Z","title":"Exploring the potential of large language models (llms) in learning on graphs","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.20967","last_updated":"2025-07-28T16:22:50Z","snapshot_observed_at":"2026-08-07T05:41:14.324729Z","submitted_at":"2025-07-28T16:22:50Z","title":"PROVCREATOR: Synthesizing Complex Heterogenous Graphs with Node and Edge Attributes","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-06T13:08:45.492335Z"},"links":{"cited_paper":"/paper/2307.03393","citing_paper":"/paper/2507.20967"},"observation_digest":"sha256:6e7c40d668250c8f038d769d76ce4c56e4a133c930b15ee1596fa5094be0e961","observation_id":"d9b42afc-b77f-4451-993a-c92078bb0979","resolution":{"observed_at":"2026-08-06T13:08:45.492335Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T13:08:55.360090Z","title":"Kairos: Practical Intrusion Detection and Investigation using Whole-system Provenance","venue":null,"work_id":"3aebce02-00ff-4f2a-9ef1-5e62610d504b","year":2024},"citing_paper":{"arxiv_id":"2507.20967","last_updated":"2025-07-28T16:22:50Z","snapshot_observed_at":"2026-08-07T05:41:14.324729Z","submitted_at":"2025-07-28T16:22:50Z","title":"PROVCREATOR: Synthesizing Complex Heterogenous Graphs with Node and Edge Attributes","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-06T13:08:45.641694Z"},"links":{"citing_paper":"/paper/2507.20967"},"observation_digest":"sha256:c77cb2edbfdd610018e52434f5b59cf183348fae948558797f485eb7ea66686c","observation_id":"cb1e2e22-8af0-48ac-a764-aadeb078e854","resolution":{"observed_at":"2026-08-06T13:08:55.525482Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T13:08:55.180774Z","title":"On generating network traffic datasets with synthetic attacks for intrusion detection","venue":null,"work_id":"51cd0e5f-2005-4b0f-81fe-e83615738ff8","year":2021},"citing_paper":{"arxiv_id":"2507.20967","last_updated":"2025-07-28T16:22:50Z","snapshot_observed_at":"2026-08-07T05:41:14.324729Z","submitted_at":"2025-07-28T16:22:50Z","title":"PROVCREATOR: Synthesizing Complex Heterogenous Graphs with Node and Edge Attributes","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-06T13:08:45.732312Z"},"links":{"citing_paper":"/paper/2507.20967"},"observation_digest":"sha256:4ab80f7ef2815a983bd5954da2682250368f2832e93ef688d1097a82322ec7b0","observation_id":"9c9f2438-00e2-4b78-bdeb-140b8cff3dbe","resolution":{"observed_at":"2026-08-06T13:08:55.263731Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T13:08:55.036766Z","title":"Generation of a new ids test dataset: Time to retire the kdd collection","venue":null,"work_id":"89651b83-84a9-40d8-bfa2-2558cb10e20a","year":2013},"citing_paper":{"arxiv_id":"2507.20967","last_updated":"2025-07-28T16:22:50Z","snapshot_observed_at":"2026-08-07T05:41:14.324729Z","submitted_at":"2025-07-28T16:22:50Z","title":"PROVCREATOR: Synthesizing Complex Heterogenous Graphs with Node and Edge Attributes","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-06T13:08:45.840319Z"},"links":{"citing_paper":"/paper/2507.20967"},"observation_digest":"sha256:b96a9257f622686d2274c3452bffa65d9e437c80eb29e68b501dd0ee6c4531a9","observation_id":"c7cce28e-9487-4a5a-90ef-de7a09925e69","resolution":{"observed_at":"2026-08-06T13:08:55.088948Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T13:08:54.792145Z","title":"Cubuk, Barret Zoph, Dandelion Mané, Vijay Vasudevan, and Quoc V","venue":null,"work_id":"0d9f8d7e-686f-43d0-aa87-19bc3411f260","year":2019},"citing_paper":{"arxiv_id":"2507.20967","last_updated":"2025-07-28T16:22:50Z","snapshot_observed_at":"2026-08-07T05:41:14.324729Z","submitted_at":"2025-07-28T16:22:50Z","title":"PROVCREATOR: Synthesizing Complex Heterogenous Graphs with Node and Edge Attributes","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-06T13:08:45.971491Z"},"links":{"citing_paper":"/paper/2507.20967"},"observation_digest":"sha256:c239d487e53cf6f3a32db3ba776d7fc102fd77dbb16021bf734f31d13b639783","observation_id":"451249b9-57b3-4619-880d-494e754199ee","resolution":{"observed_at":"2026-08-06T13:08:54.914669Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T13:08:54.573272Z","title":"Feng, Varun Gangal, Jason Wei, Sarath Chandar, Soroush Vosoughi, Teruko Mitamura, and Eduard Hovy","venue":null,"work_id":"ef507bc5-5955-4ff7-ae46-7aaf18d33b48","year":null},"citing_paper":{"arxiv_id":"2507.20967","last_updated":"2025-07-28T16:22:50Z","snapshot_observed_at":"2026-08-07T05:41:14.324729Z","submitted_at":"2025-07-28T16:22:50Z","title":"PROVCREATOR: Synthesizing Complex Heterogenous Graphs with Node and Edge Attributes","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-06T13:08:46.071679Z"},"links":{"citing_paper":"/paper/2507.20967"},"observation_digest":"sha256:be1c727458ecdeb1909538845d6781cc429b9d26621da6b6e49b452d6b02707e","observation_id":"d04ee5b9-ce1d-41bd-9665-170353198d3a","resolution":{"observed_at":"2026-08-06T13:08:54.690415Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T13:08:54.403068Z","title":"Windows Based Data Sets for Evaluation of Robustness of Host Based Intrusion Detection Systems (IDS) to Zero-Day and Stealth Attacks","venue":null,"work_id":"24ef2b9f-0b2d-477a-8b5c-60dcd494e1bd","year":2016},"citing_paper":{"arxiv_id":"2507.20967","last_updated":"2025-07-28T16:22:50Z","snapshot_observed_at":"2026-08-07T05:41:14.324729Z","submitted_at":"2025-07-28T16:22:50Z","title":"PROVCREATOR: Synthesizing Complex Heterogenous Graphs with Node and Edge Attributes","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-06T13:08:46.210416Z"},"links":{"citing_paper":"/paper/2507.20967"},"observation_digest":"sha256:9ce2707794fcbaef1832570a1ea2297f34901c4fe7dfac5ab3c3db6a08a7d06f","observation_id":"eb423375-16a0-41ad-9132-17a696667531","resolution":{"observed_at":"2026-08-06T13:08:54.487179Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T13:08:54.170780Z","title":"UNICORN: Runtime Provenance-Based Detector for Advanced Persistent Threats","venue":null,"work_id":"2292fd91-e8b7-418d-ae2a-9b61e649d719","year":2020},"citing_paper":{"arxiv_id":"2507.20967","last_updated":"2025-07-28T16:22:50Z","snapshot_observed_at":"2026-08-07T05:41:14.324729Z","submitted_at":"2025-07-28T16:22:50Z","title":"PROVCREATOR: Synthesizing Complex Heterogenous Graphs with Node and Edge Attributes","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-06T13:08:46.338733Z"},"links":{"citing_paper":"/paper/2507.20967"},"observation_digest":"sha256:ceb3fddbdba0d82055d09e4aaa0c1e64cbe5f8cf22c5ccaaa9681548f9f758d2","observation_id":"a8280cb3-7949-446d-995d-0d5d68c94c00","resolution":{"observed_at":"2026-08-06T13:08:54.270728Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T13:08:53.949695Z","title":"Sigl: Securing software installations through deep graph learning","venue":null,"work_id":"6dbd9566-5b3a-4f0a-9feb-ab4ae11972d9","year":2021},"citing_paper":{"arxiv_id":"2507.20967","last_updated":"2025-07-28T16:22:50Z","snapshot_observed_at":"2026-08-07T05:41:14.324729Z","submitted_at":"2025-07-28T16:22:50Z","title":"PROVCREATOR: Synthesizing Complex Heterogenous Graphs with Node and Edge Attributes","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-06T13:08:46.440482Z"},"links":{"citing_paper":"/paper/2507.20967"},"observation_digest":"sha256:88e7b056e57456fcb52617ca9706d1f4e934ae9e5c75d3a2ea3a01c71873aad7","observation_id":"53680dcc-df13-4338-964c-30a3d267b9ff","resolution":{"observed_at":"2026-08-06T13:08:54.042131Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T13:08:53.739421Z","title":"NoDoze: Combatting Threat Alert Fatigue with Automated Provenance Triage","venue":null,"work_id":"1a3dd78b-5198-42b2-8103-0e0f9e5d57a8","year":2019},"citing_paper":{"arxiv_id":"2507.20967","last_updated":"2025-07-28T16:22:50Z","snapshot_observed_at":"2026-08-07T05:41:14.324729Z","submitted_at":"2025-07-28T16:22:50Z","title":"PROVCREATOR: Synthesizing Complex Heterogenous Graphs with Node and Edge Attributes","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-06T13:08:46.523017Z"},"links":{"citing_paper":"/paper/2507.20967"},"observation_digest":"sha256:2c9e92c85ff42a0f50e4f2f7daafeee4d3e52cc21115ef6f937222b614521060","observation_id":"19159b42-af7b-4882-9547-3758d1a9b75c","resolution":{"observed_at":"2026-08-06T13:08:53.844040Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T13:08:53.441719Z","title":"Magic: Detecting advanced persistent threats via masked graph representation learning","venue":null,"work_id":"48bebd03-fa92-4ac9-a8b5-f0edc3051dc8","year":2024},"citing_paper":{"arxiv_id":"2507.20967","last_updated":"2025-07-28T16:22:50Z","snapshot_observed_at":"2026-08-07T05:41:14.324729Z","submitted_at":"2025-07-28T16:22:50Z","title":"PROVCREATOR: Synthesizing Complex Heterogenous Graphs with Node and Edge Attributes","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-06T13:08:46.649660Z"},"links":{"citing_paper":"/paper/2507.20967"},"observation_digest":"sha256:e67bb1204107db5a87091e644ce51a82b4781ba4dd0f17bef9a039bf2922020f","observation_id":"585d49e2-69b3-4927-a9c7-fbc29877b11b","resolution":{"observed_at":"2026-08-06T13:08:53.600637Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T13:08:53.235787Z","title":"Score-based generative modeling of graphs via the system of stochastic differential equations","venue":null,"work_id":"bbb4f0e4-af18-46fe-a189-7deeb04defa3","year":2022},"citing_paper":{"arxiv_id":"2507.20967","last_updated":"2025-07-28T16:22:50Z","snapshot_observed_at":"2026-08-07T05:41:14.324729Z","submitted_at":"2025-07-28T16:22:50Z","title":"PROVCREATOR: Synthesizing Complex Heterogenous Graphs with Node and Edge Attributes","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-06T13:08:46.770508Z"},"links":{"citing_paper":"/paper/2507.20967"},"observation_digest":"sha256:ac13c4b11853639c645636e1ccd11989b0f52a92c9d95b8cd9ed311d7eabe7f1","observation_id":"aad5b45a-d64a-4e98-9de9-d9babd6a5b48","resolution":{"observed_at":"2026-08-06T13:08:53.354988Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T13:08:53.041134Z","title":"Backtracking intrusions","venue":null,"work_id":"bfc55b73-2cc3-4869-b865-da7d07998801","year":2003},"citing_paper":{"arxiv_id":"2507.20967","last_updated":"2025-07-28T16:22:50Z","snapshot_observed_at":"2026-08-07T05:41:14.324729Z","submitted_at":"2025-07-28T16:22:50Z","title":"PROVCREATOR: Synthesizing Complex Heterogenous Graphs with Node and Edge Attributes","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-06T13:08:46.909947Z"},"links":{"citing_paper":"/paper/2507.20967"},"observation_digest":"sha256:3a8125a7e3e63618e4108b522c8db0b7e246bba01839f81ae046147a286150ad","observation_id":"0b43272a-4b3d-44d0-8560-f5c0d9977418","resolution":{"observed_at":"2026-08-06T13:08:53.120085Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T13:08:52.843707Z","title":"Distributed representations of sentences and documents","venue":null,"work_id":"dc44cc50-a1cd-443e-a13f-326ce70571b0","year":2014},"citing_paper":{"arxiv_id":"2507.20967","last_updated":"2025-07-28T16:22:50Z","snapshot_observed_at":"2026-08-07T05:41:14.324729Z","submitted_at":"2025-07-28T16:22:50Z","title":"PROVCREATOR: Synthesizing Complex Heterogenous Graphs with Node and Edge Attributes","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-06T13:08:47.042736Z"},"links":{"citing_paper":"/paper/2507.20967"},"observation_digest":"sha256:4185dc4b930a59b70b6b132beecf415fd79efed70beab6267e8fb285bcd56cd6","observation_id":"9d99cde5-da81-4518-9ae7-937210beb6d3","resolution":{"observed_at":"2026-08-06T13:08:52.948638Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T13:08:52.532418Z","title":"Le and Tomas Mikolov","venue":null,"work_id":"0f0bc888-198a-4327-8bc7-32601bc43a1a","year":2014},"citing_paper":{"arxiv_id":"2507.20967","last_updated":"2025-07-28T16:22:50Z","snapshot_observed_at":"2026-08-07T05:41:14.324729Z","submitted_at":"2025-07-28T16:22:50Z","title":"PROVCREATOR: Synthesizing Complex Heterogenous Graphs with Node and Edge Attributes","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-06T13:08:47.160531Z"},"links":{"citing_paper":"/paper/2507.20967"},"observation_digest":"sha256:56fa6a08c391288844b257548f7e53cb117c08fb5cfc19d71f4bdc005a9f3353","observation_id":"71c7f792-0146-455f-b434-1844482cce5d","resolution":{"observed_at":"2026-08-06T13:08:52.688335Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T13:08:47.292386Z","title":"SNAP Datasets : Stanford large network dataset collection","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2507.20967","last_updated":"2025-07-28T16:22:50Z","snapshot_observed_at":"2026-08-07T05:41:14.324729Z","submitted_at":"2025-07-28T16:22:50Z","title":"PROVCREATOR: Synthesizing Complex Heterogenous Graphs with Node and Edge Attributes","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-06T13:08:47.292386Z"},"links":{"citing_paper":"/paper/2507.20967"},"observation_digest":"sha256:03d60c1bbd5342e9cd6dd8cc27435ea6dd56c2f5cac55d4116ce792152944040","observation_id":"bb4f15cf-c153-4720-93ea-dae5c49f9abc","resolution":{"observed_at":"2026-08-06T13:08:47.292386Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.08810","last_updated":"2024-12-11T22:53:27Z","snapshot_observed_at":"2026-08-06T11:26:37.622374Z","submitted_at":"2024-12-11T22:53:27Z","title":"Efficient Dynamic Attributed Graph Generation","version":1},"cited_work":{"arxiv_id":"2412.08810","doi":null,"metadata_source":"pith","pith_arxiv_id":"2412.08810","snapshot_observed_at":"2026-08-06T13:08:49.966193Z","title":"Efficient Dynamic Attributed Graph Generation","venue":"cs.DB","work_id":"8e2df9a8-a362-4eee-8502-794c2730d3a7","year":2024},"citing_paper":{"arxiv_id":"2507.20967","last_updated":"2025-07-28T16:22:50Z","snapshot_observed_at":"2026-08-07T05:41:14.324729Z","submitted_at":"2025-07-28T16:22:50Z","title":"PROVCREATOR: Synthesizing Complex Heterogenous Graphs with Node and Edge Attributes","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-06T13:08:47.383053Z"},"links":{"cited_paper":"/paper/2412.08810","citing_paper":"/paper/2507.20967"},"observation_digest":"sha256:208b0c46100fe04dac004dfd50dbd0b326bb6d2745e7ad4a838d0fd1712ae352","observation_id":"573cf6f6-ff1b-447a-ab22-3a3114492945","resolution":{"observed_at":"2026-08-06T13:08:50.058832Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.13833","last_updated":"2024-10-16T00:48:31Z","snapshot_observed_at":"2026-07-06T16:36:23.513728Z","submitted_at":"2023-10-20T22:12:46Z","title":"GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.13833","snapshot_observed_at":"2026-08-06T13:08:47.497272Z","title":"Potluru, and Pan Li","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.20967","last_updated":"2025-07-28T16:22:50Z","snapshot_observed_at":"2026-08-07T05:41:14.324729Z","submitted_at":"2025-07-28T16:22:50Z","title":"PROVCREATOR: Synthesizing Complex Heterogenous Graphs with Node and Edge Attributes","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-06T13:08:47.497272Z"},"links":{"cited_paper":"/paper/2310.13833","citing_paper":"/paper/2507.20967"},"observation_digest":"sha256:802a22e3c0154660d932afe8247323d4a66f6cd20f7faf33baec6536b0fc5c2f","observation_id":"c79c942e-f4be-45d9-8129-a4dfbed6b344","resolution":{"observed_at":"2026-08-06T13:08:47.497272Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T13:08:52.260233Z","title":"Towards a Timely Causality Analysis for Enterprise Security","venue":null,"work_id":"776fd968-a1fa-4814-8e20-a6aa7873f876","year":2018},"citing_paper":{"arxiv_id":"2507.20967","last_updated":"2025-07-28T16:22:50Z","snapshot_observed_at":"2026-08-07T05:41:14.324729Z","submitted_at":"2025-07-28T16:22:50Z","title":"PROVCREATOR: Synthesizing Complex Heterogenous Graphs with Node and Edge Attributes","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-06T13:08:47.603286Z"},"links":{"citing_paper":"/paper/2507.20967"},"observation_digest":"sha256:8754860413179343a24c8c68d4ff67fe7dc133d18119c46cccf47d70b7f7aada","observation_id":"9b46688a-fd3f-446b-9c55-f2e2f869e0bc","resolution":{"observed_at":"2026-08-06T13:08:52.375877Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T13:08:52.005009Z","title":"Evading provenance-based ml detectors with adversarial system actions","venue":null,"work_id":"05da88e4-833d-4540-b02f-d1bb7cfc721d","year":2023},"citing_paper":{"arxiv_id":"2507.20967","last_updated":"2025-07-28T16:22:50Z","snapshot_observed_at":"2026-08-07T05:41:14.324729Z","submitted_at":"2025-07-28T16:22:50Z","title":"PROVCREATOR: Synthesizing Complex Heterogenous Graphs with Node and Edge Attributes","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-06T13:08:47.700157Z"},"links":{"citing_paper":"/paper/2507.20967"},"observation_digest":"sha256:445f8deab6c6bf8e5cb42006de6cead2b7b976c25044838b45e0851020c71cf1","observation_id":"fe0d9dc0-63bc-4c54-b416-f3da152c09a5","resolution":{"observed_at":"2026-08-06T13:08:52.127391Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T13:08:51.699850Z","title":"Proviot: Detecting stealthy attacks in iot through federated edge-cloud security","venue":null,"work_id":"9ae94fe8-384c-4421-bb9c-88d0a70627f4","year":2024},"citing_paper":{"arxiv_id":"2507.20967","last_updated":"2025-07-28T16:22:50Z","snapshot_observed_at":"2026-08-07T05:41:14.324729Z","submitted_at":"2025-07-28T16:22:50Z","title":"PROVCREATOR: Synthesizing Complex Heterogenous Graphs with Node and Edge Attributes","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-06T13:08:47.810819Z"},"links":{"citing_paper":"/paper/2507.20967"},"observation_digest":"sha256:7c7dad5f689e25fac099eedce314a13e31a73ab492a16d64ccae55f59f2e0744","observation_id":"c8922999-8f31-4d74-93b6-950714f8e7db","resolution":{"observed_at":"2026-08-06T13:08:51.855307Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.03575","last_updated":"2025-07-09T19:35:31Z","snapshot_observed_at":"2026-08-03T00:21:10.886100Z","submitted_at":"2025-01-07T06:55:50Z","title":"Cosmos World Foundation Model Platform for Physical AI","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.03575","snapshot_observed_at":"2026-08-06T13:08:47.960825Z","title":"Cosmos world foundation model platform for physical ai, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.20967","last_updated":"2025-07-28T16:22:50Z","snapshot_observed_at":"2026-08-07T05:41:14.324729Z","submitted_at":"2025-07-28T16:22:50Z","title":"PROVCREATOR: Synthesizing Complex Heterogenous Graphs with Node and Edge Attributes","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-06T13:08:47.960825Z"},"links":{"cited_paper":"/paper/2501.03575","citing_paper":"/paper/2507.20967"},"observation_digest":"sha256:f5a2df6302698531d304908e4814f6c1924949d7f9fbf3fa5359eac49761cdf8","observation_id":"1d93675a-5d02-4460-a2d7-560cce27e24a","resolution":{"observed_at":"2026-08-06T13:08:47.960825Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T13:08:51.403096Z","title":"FLASH: A Comprehensive Approach to Intrusion Detection via Provenance Graph Representation Learning","venue":null,"work_id":"293597a4-61b3-408c-ae11-515a0ffb7068","year":2024},"citing_paper":{"arxiv_id":"2507.20967","last_updated":"2025-07-28T16:22:50Z","snapshot_observed_at":"2026-08-07T05:41:14.324729Z","submitted_at":"2025-07-28T16:22:50Z","title":"PROVCREATOR: Synthesizing Complex Heterogenous Graphs with Node and Edge Attributes","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-06T13:08:48.057062Z"},"links":{"citing_paper":"/paper/2507.20967"},"observation_digest":"sha256:6ea23d6226a20461578c65e4062c97decbf7de0a14dda78299eabeedbce9189f","observation_id":"48d61b6e-ebd7-4ec4-9962-830432e0707f","resolution":{"observed_at":"2026-08-06T13:08:51.558273Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.06698","last_updated":"2023-08-25T08:37:10Z","snapshot_observed_at":"2026-07-06T15:53:34.989396Z","submitted_at":"2023-07-13T11:54:32Z","title":"IntelliGraphs: Datasets for Benchmarking Knowledge Graph Generation","version":3},"cited_work":{"arxiv_id":"2307.06698","doi":null,"metadata_source":"pith","pith_arxiv_id":"2307.06698","snapshot_observed_at":"2026-08-06T13:08:49.679464Z","title":"IntelliGraphs: Datasets for Benchmarking Knowledge Graph Generation","venue":"cs.AI","work_id":"2765fb18-8bee-4e42-833a-29b64a274d7c","year":2023},"citing_paper":{"arxiv_id":"2507.20967","last_updated":"2025-07-28T16:22:50Z","snapshot_observed_at":"2026-08-07T05:41:14.324729Z","submitted_at":"2025-07-28T16:22:50Z","title":"PROVCREATOR: Synthesizing Complex Heterogenous Graphs with Node and Edge Attributes","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-06T13:08:48.178752Z"},"links":{"cited_paper":"/paper/2307.06698","citing_paper":"/paper/2507.20967"},"observation_digest":"sha256:1e0fc63f0571f5ecbc6a8ac9e697fffa58ebec09054beb37d3b197784d97229b","observation_id":"d0e8a98b-f6d5-4844-82bc-c255cb32d89d","resolution":{"observed_at":"2026-08-06T13:08:49.786795Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T13:08:48.287858Z","title":"Digress: Discrete denoising diffusion for graph generation","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.20967","last_updated":"2025-07-28T16:22:50Z","snapshot_observed_at":"2026-08-07T05:41:14.324729Z","submitted_at":"2025-07-28T16:22:50Z","title":"PROVCREATOR: Synthesizing Complex Heterogenous Graphs with Node and Edge Attributes","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-06T13:08:48.287858Z"},"links":{"citing_paper":"/paper/2507.20967"},"observation_digest":"sha256:fc64eb64bf3155ee944e3cf60109d55cbb91c57f17a9a0e1be04fab897370216","observation_id":"fb1f4308-2310-48d2-ab0f-be196a81cec7","resolution":{"observed_at":"2026-08-06T13:08:48.287858Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T13:08:51.195987Z","title":"Can language models solve graph problems in natural language? In Thirty-seventh Conference on Neural Information Processing Systems, 2023","venue":null,"work_id":"6177932b-2f0e-43f6-a8e0-f298fb38003c","year":2023},"citing_paper":{"arxiv_id":"2507.20967","last_updated":"2025-07-28T16:22:50Z","snapshot_observed_at":"2026-08-07T05:41:14.324729Z","submitted_at":"2025-07-28T16:22:50Z","title":"PROVCREATOR: Synthesizing Complex Heterogenous Graphs with Node and Edge Attributes","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-06T13:08:48.385240Z"},"links":{"citing_paper":"/paper/2507.20967"},"observation_digest":"sha256:7756a4937b49a4b47894520507b511b4cfae393a4b5bfbd40d675ec2006ad972","observation_id":"0577c444-a834-48e2-b0bf-e4c41b6279de","resolution":{"observed_at":"2026-08-06T13:08:51.288534Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T13:08:50.958474Z","title":"You Are What You Do: Hunting Stealthy Malware via Data Provenance Analysis","venue":null,"work_id":"cef28a61-e522-4e29-883e-73568369026e","year":2020},"citing_paper":{"arxiv_id":"2507.20967","last_updated":"2025-07-28T16:22:50Z","snapshot_observed_at":"2026-08-07T05:41:14.324729Z","submitted_at":"2025-07-28T16:22:50Z","title":"PROVCREATOR: Synthesizing Complex Heterogenous Graphs with Node and Edge Attributes","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-06T13:08:48.526709Z"},"links":{"citing_paper":"/paper/2507.20967"},"observation_digest":"sha256:d066d9df4f355de208783bbf793b29fb6883af9d0d21032d51e54f387eaecf13","observation_id":"95a9592c-596f-4835-bfa8-2b8490c2a68a","resolution":{"observed_at":"2026-08-06T13:08:51.059782Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.13116","last_updated":"2024-10-21T16:22:33Z","snapshot_observed_at":"2026-08-02T17:17:56.296462Z","submitted_at":"2024-02-20T16:17:37Z","title":"A Survey on Knowledge Distillation of Large Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.13116","snapshot_observed_at":"2026-08-06T13:08:48.620816Z","title":"A survey on knowledge distillation of large language models, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.20967","last_updated":"2025-07-28T16:22:50Z","snapshot_observed_at":"2026-08-07T05:41:14.324729Z","submitted_at":"2025-07-28T16:22:50Z","title":"PROVCREATOR: Synthesizing Complex Heterogenous Graphs with Node and Edge Attributes","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-06T13:08:48.620816Z"},"links":{"cited_paper":"/paper/2402.13116","citing_paper":"/paper/2507.20967"},"observation_digest":"sha256:f4ffe4ded3827b978635c751d93f013f2643ebfd59bee24a9b52eeb4123b779a","observation_id":"cdf11eed-d692-47f0-abfa-55a1a5b2ae16","resolution":{"observed_at":"2026-08-06T13:08:48.620816Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T13:08:50.741783Z","title":"Mooney, and Bradley A","venue":null,"work_id":"e9288f44-b37c-4d8f-bcaa-b99f23881b4e","year":2022},"citing_paper":{"arxiv_id":"2507.20967","last_updated":"2025-07-28T16:22:50Z","snapshot_observed_at":"2026-08-07T05:41:14.324729Z","submitted_at":"2025-07-28T16:22:50Z","title":"PROVCREATOR: Synthesizing Complex Heterogenous Graphs with Node and Edge Attributes","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-06T13:08:48.724841Z"},"links":{"citing_paper":"/paper/2507.20967"},"observation_digest":"sha256:95cd56ca87ebad7fbaa716a757715e2c2d4bc43decf5e1be84855e4f744c416e","observation_id":"e4979807-6d58-42ab-b4a3-f7ecbd3f57ae","resolution":{"observed_at":"2026-08-06T13:08:50.854000Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T13:08:50.491631Z","title":"Data Augmentation for Graph Neural Networks","venue":null,"work_id":"089741fa-86a7-424d-b0eb-dce4f514406d","year":null},"citing_paper":{"arxiv_id":"2507.20967","last_updated":"2025-07-28T16:22:50Z","snapshot_observed_at":"2026-08-07T05:41:14.324729Z","submitted_at":"2025-07-28T16:22:50Z","title":"PROVCREATOR: Synthesizing Complex Heterogenous Graphs with Node and Edge Attributes","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-06T13:08:48.844511Z"},"links":{"citing_paper":"/paper/2507.20967"},"observation_digest":"sha256:5edc144d82bf31a1cb1b9f45d11c6fe310f4b74b6185d794569d353f710eb7b1","observation_id":"58920c30-ce72-45ef-84e5-0625972b1f7e","resolution":{"observed_at":"2026-08-06T13:08:50.583694Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T13:08:50.243004Z","title":"Graph Data Augmentation for Graph Machine Learning: A Survey","venue":null,"work_id":"1fa35197-e23a-45ec-8be0-55e19875d92d","year":2022},"citing_paper":{"arxiv_id":"2507.20967","last_updated":"2025-07-28T16:22:50Z","snapshot_observed_at":"2026-08-07T05:41:14.324729Z","submitted_at":"2025-07-28T16:22:50Z","title":"PROVCREATOR: Synthesizing Complex Heterogenous Graphs with Node and Edge Attributes","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-06T13:08:48.967606Z"},"links":{"citing_paper":"/paper/2507.20967"},"observation_digest":"sha256:7c76d4038e86bc212e25d79fd335452a7b4bf6a53d6bc6fba36a705d737e5439","observation_id":"34df889f-48c4-461c-b7c0-ccfb87f612fd","resolution":{"observed_at":"2026-08-06T13:08:50.330872Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T13:08:49.049425Z","title":"@esa (Ref","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.20967","last_updated":"2025-07-28T16:22:50Z","snapshot_observed_at":"2026-08-07T05:41:14.324729Z","submitted_at":"2025-07-28T16:22:50Z","title":"PROVCREATOR: Synthesizing Complex Heterogenous Graphs with Node and Edge Attributes","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-06T13:08:49.049425Z"},"links":{"citing_paper":"/paper/2507.20967"},"observation_digest":"sha256:4bb28a794245868e356a7fc2ea0d023bef34bfebd8ca21f74003c64357f35733","observation_id":"58060e21-1c59-4f7a-b5c7-b37a235faef1","resolution":{"observed_at":"2026-08-06T13:08:49.049425Z","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":"2026-08-06T13:08:49.152831Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.20967","last_updated":"2025-07-28T16:22:50Z","snapshot_observed_at":"2026-08-07T05:41:14.324729Z","submitted_at":"2025-07-28T16:22:50Z","title":"PROVCREATOR: Synthesizing Complex Heterogenous Graphs with Node and Edge Attributes","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-06T13:08:49.152831Z"},"links":{"citing_paper":"/paper/2507.20967"},"observation_digest":"sha256:d808d5b1fc695cade4edd66a17f5712e3b2908a561dad4bb49bfaf15ef535532","observation_id":"d7dcda37-cc6f-45cf-897f-bd2e89ab776a","resolution":{"observed_at":"2026-08-06T13:08:49.152831Z","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":"refs/0000775","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T13:08:49.508236Z","title":"<>| ]+\\\\)*[^\\\\/:*?\\","venue":null,"work_id":"2fef5304-c07f-43f8-99a4-81d255577f01","year":2025},"citing_paper":{"arxiv_id":"2507.20967","last_updated":"2025-07-28T16:22:50Z","snapshot_observed_at":"2026-08-07T05:41:14.324729Z","submitted_at":"2025-07-28T16:22:50Z","title":"PROVCREATOR: Synthesizing Complex Heterogenous Graphs with Node and Edge Attributes","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-06T13:08:49.296828Z"},"links":{"citing_paper":"/paper/2507.20967"},"observation_digest":"sha256:52b7493b849b1f2d935ef50a1c1e361ca888cc8aa561e2d91d5103b2bdb2e50a","observation_id":"aededed2-dcbf-40dc-92d5-e4c832b4ae47","resolution":{"observed_at":"2026-08-06T13:08:49.573820Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.20967","last_updated":"2025-07-28T16:22:50Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-07T05:41:14.324729Z","submitted_at":"2025-07-28T16:22:50Z","title":"PROVCREATOR: Synthesizing Complex Heterogenous Graphs with Node and Edge Attributes"},"reference_resolution":{"displayed":41,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":11,"verified_exact":3,"verified_fuzzy":27},"total_outbound_references":41},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2507.20967."}