{"as_of":"2026-08-09T22:07:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c26fa65d49f8251027e45a0eed439af1ca641523a540ed4d8f1ef6ae7eb290ab","coverage":[{"denominator":55,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":55,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-03T08:13:43.523279Z","state":"measured"},{"denominator":55,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":55,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+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/2607.29378/citation-record","integrity":"/paper/2607.29378/integrity","json":"/paper/2607.29378/citation-record.json","paper":"/paper/2607.29378"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2208.13780","last_updated":"2022-10-17T13:34:23Z","snapshot_observed_at":"2026-08-09T13:37:37.970970Z","submitted_at":"2022-08-29T12:09:32Z","title":"Autoinverse: Uncertainty Aware Inversion of Neural Networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2208.13780","snapshot_observed_at":"2026-08-03T08:13:35.972679Z","title":"Autoinverse: Uncertainty aware inversion of neural networks, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.29378","last_updated":"2026-07-31T13:01:43Z","snapshot_observed_at":"2026-08-09T13:37:56.341532Z","submitted_at":"2026-07-31T13:01:43Z","title":"PTP: Previous-Token Prediction based LLM Inversion for Near-Exact Prompt Reconstruction","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-03T08:13:35.972679Z"},"links":{"cited_paper":"/paper/2208.13780","citing_paper":"/paper/2607.29378"},"observation_digest":"sha256:9f44124fdef807507bc8699539eee454e6d8901a283b6e11153f5207b2ddec3b","observation_id":"d1621377-b614-4976-a064-d4b0243273b5","resolution":{"observed_at":"2026-08-03T08:13:35.972679Z","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":"2026-08-03T08:13:36.076817Z","title":"Delving deep into rectifiers: Surpassing human-level performance on imagenet classification","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2607.29378","last_updated":"2026-07-31T13:01:43Z","snapshot_observed_at":"2026-08-09T13:37:56.341532Z","submitted_at":"2026-07-31T13:01:43Z","title":"PTP: Previous-Token Prediction based LLM Inversion for Near-Exact Prompt Reconstruction","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-03T08:13:36.076817Z"},"links":{"citing_paper":"/paper/2607.29378"},"observation_digest":"sha256:f8ff6ab8be1e670857ec2c406ce47accbfdb6efbd988d939c64ea3cc7d896a6f","observation_id":"963a17bc-64ef-4743-a863-4d99687a4b76","resolution":{"observed_at":"2026-08-03T08:13:36.076817Z","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":"10.1109/5.784232","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Jensen, R.D","venue":"Proceedings of the IEEE","work_id":"2a287714-6cfd-4adb-b24b-9cf2d2097a9d","year":1999},"citing_paper":{"arxiv_id":"2607.29378","last_updated":"2026-07-31T13:01:43Z","snapshot_observed_at":"2026-08-09T13:37:56.341532Z","submitted_at":"2026-07-31T13:01:43Z","title":"PTP: Previous-Token Prediction based LLM Inversion for Near-Exact Prompt Reconstruction","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-03T08:13:36.236907Z"},"links":{"citing_paper":"/paper/2607.29378"},"observation_digest":"sha256:0f7bf0fb232bb1addedc5ee72cf70a7947aeb70445ef8b5152a78eb2ba00eb9d","observation_id":"7822da7d-2b07-44a2-bbb8-e0f3e09f38bf","resolution":{"observed_at":"2026-08-03T08:18:20.831596Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-03T08:13:36.397760Z","title":"Inversion of neural networks by gradient descent","venue":null,"work_id":null,"year":1990},"citing_paper":{"arxiv_id":"2607.29378","last_updated":"2026-07-31T13:01:43Z","snapshot_observed_at":"2026-08-09T13:37:56.341532Z","submitted_at":"2026-07-31T13:01:43Z","title":"PTP: Previous-Token Prediction based LLM Inversion for Near-Exact Prompt Reconstruction","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-03T08:13:36.397760Z"},"links":{"citing_paper":"/paper/2607.29378"},"observation_digest":"sha256:dbeba979cf04a5c188d7cabebd18ab40cb7d52d833950e85b5d0f937433527b5","observation_id":"d99428d8-c97a-42b0-a962-cc111d91d2de","resolution":{"observed_at":"2026-08-03T08:13:36.397760Z","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":"2026-08-03T08:13:36.591239Z","title":"Model inversion networks for model-based optimization","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.29378","last_updated":"2026-07-31T13:01:43Z","snapshot_observed_at":"2026-08-09T13:37:56.341532Z","submitted_at":"2026-07-31T13:01:43Z","title":"PTP: Previous-Token Prediction based LLM Inversion for Near-Exact Prompt Reconstruction","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-03T08:13:36.591239Z"},"links":{"citing_paper":"/paper/2607.29378"},"observation_digest":"sha256:3265987b355b1bd5f6ea2126a17eb0ce73594784842d341d05ccb816ebb539cf","observation_id":"66a422ab-e304-401b-ab9d-0554495879c2","resolution":{"observed_at":"2026-08-03T08:13:36.591239Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.06729","last_updated":"2025-02-16T01:07:27Z","snapshot_observed_at":"2026-08-09T13:37:58.119622Z","submitted_at":"2024-11-11T05:58:48Z","title":"Reverse Prompt Engineering","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.06729","snapshot_observed_at":"2026-08-03T08:13:36.714019Z","title":"Reverse prompt engineering, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.29378","last_updated":"2026-07-31T13:01:43Z","snapshot_observed_at":"2026-08-09T13:37:56.341532Z","submitted_at":"2026-07-31T13:01:43Z","title":"PTP: Previous-Token Prediction based LLM Inversion for Near-Exact Prompt Reconstruction","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-03T08:13:36.714019Z"},"links":{"cited_paper":"/paper/2411.06729","citing_paper":"/paper/2607.29378"},"observation_digest":"sha256:b7575e7714c606443438047d7c15357ea4df4a189e63635bd1f217c5e0cba4fb","observation_id":"abe5ef0b-07fd-4d30-8c75-35c06050b6b4","resolution":{"observed_at":"2026-08-03T08:13:36.714019Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.09027","last_updated":"2022-06-17T22:05:29Z","snapshot_observed_at":"2026-08-06T03:40:28.105758Z","submitted_at":"2022-06-17T22:05:29Z","title":"Landscape Learning for Neural Network Inversion","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.09027","snapshot_observed_at":"2026-08-03T08:13:36.848479Z","title":"Landscape learning for neural network inversion, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.29378","last_updated":"2026-07-31T13:01:43Z","snapshot_observed_at":"2026-08-09T13:37:56.341532Z","submitted_at":"2026-07-31T13:01:43Z","title":"PTP: Previous-Token Prediction based LLM Inversion for Near-Exact Prompt Reconstruction","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-03T08:13:36.848479Z"},"links":{"cited_paper":"/paper/2206.09027","citing_paper":"/paper/2607.29378"},"observation_digest":"sha256:8ba50dc9933bac2b637600482fa04d24f5c684e3306342c9913c6abe6c698e6c","observation_id":"653f9678-c98d-4119-a9ad-61c858cc0200","resolution":{"observed_at":"2026-08-03T08:13:36.848479Z","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":"2026-08-03T08:13:37.026581Z","title":"Text embeddings reveal (almost) as much as text","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.29378","last_updated":"2026-07-31T13:01:43Z","snapshot_observed_at":"2026-08-09T13:37:56.341532Z","submitted_at":"2026-07-31T13:01:43Z","title":"PTP: Previous-Token Prediction based LLM Inversion for Near-Exact Prompt Reconstruction","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-03T08:13:37.026581Z"},"links":{"citing_paper":"/paper/2607.29378"},"observation_digest":"sha256:3066a26a06130792a7867d088f5b9d100e0da10c8fb6badd8043d9926f22b1b8","observation_id":"cae89d36-872c-4db6-a93e-e77770f2824d","resolution":{"observed_at":"2026-08-03T08:13:37.026581Z","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":"2026-08-03T08:13:37.226235Z","title":"Language model inversion","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.29378","last_updated":"2026-07-31T13:01:43Z","snapshot_observed_at":"2026-08-09T13:37:56.341532Z","submitted_at":"2026-07-31T13:01:43Z","title":"PTP: Previous-Token Prediction based LLM Inversion for Near-Exact Prompt Reconstruction","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-03T08:13:37.226235Z"},"links":{"citing_paper":"/paper/2607.29378"},"observation_digest":"sha256:0aca27b5cde509df5b498b5d81c86201a79ca4084d6edca093f9de9cacb1e319","observation_id":"cc725b8e-3016-42eb-ab61-1cfb4e35709a","resolution":{"observed_at":"2026-08-03T08:13:37.226235Z","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":"2026-08-03T08:13:37.347427Z","title":"Morris, Xiang Ren, and Swabha Swayamdipta","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.29378","last_updated":"2026-07-31T13:01:43Z","snapshot_observed_at":"2026-08-09T13:37:56.341532Z","submitted_at":"2026-07-31T13:01:43Z","title":"PTP: Previous-Token Prediction based LLM Inversion for Near-Exact Prompt Reconstruction","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-03T08:13:37.347427Z"},"links":{"citing_paper":"/paper/2607.29378"},"observation_digest":"sha256:dabf14bcf91b55503c24e6f270019b7b96e8d0fa5a2de34eed30d4d625f54daf","observation_id":"93a230b1-ed51-4168-9d54-24df5893b031","resolution":{"observed_at":"2026-08-03T08:13:37.347427Z","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":"2026-08-03T08:13:37.448380Z","title":"Language models are injective and hence invertible, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.29378","last_updated":"2026-07-31T13:01:43Z","snapshot_observed_at":"2026-08-09T13:37:56.341532Z","submitted_at":"2026-07-31T13:01:43Z","title":"PTP: Previous-Token Prediction based LLM Inversion for Near-Exact Prompt Reconstruction","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-03T08:13:37.448380Z"},"links":{"citing_paper":"/paper/2607.29378"},"observation_digest":"sha256:dc3a3ecbd415af77823c57f6ec72ca31696ac565db5dbe6ddf2ca3836814ca3b","observation_id":"0c7e7ce9-9500-418c-a249-d38a8a61d529","resolution":{"observed_at":"2026-08-03T08:13:37.448380Z","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":"2026-08-03T08:13:37.741530Z","title":"Network inversion of binarised neural nets","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.29378","last_updated":"2026-07-31T13:01:43Z","snapshot_observed_at":"2026-08-09T13:37:56.341532Z","submitted_at":"2026-07-31T13:01:43Z","title":"PTP: Previous-Token Prediction based LLM Inversion for Near-Exact Prompt Reconstruction","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-03T08:13:37.741530Z"},"links":{"citing_paper":"/paper/2607.29378"},"observation_digest":"sha256:080f2d14e6bfc734363fffd257a5c3dd40da03d03a0b061e3f649ae7ce827ba5","observation_id":"03380a64-a145-47f9-8d5f-7b12d91228e7","resolution":{"observed_at":"2026-08-03T08:13:37.741530Z","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":"2026-08-03T08:13:37.924211Z","title":"Network inversion of convolutional neural nets","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.29378","last_updated":"2026-07-31T13:01:43Z","snapshot_observed_at":"2026-08-09T13:37:56.341532Z","submitted_at":"2026-07-31T13:01:43Z","title":"PTP: Previous-Token Prediction based LLM Inversion for Near-Exact Prompt Reconstruction","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-03T08:13:37.924211Z"},"links":{"citing_paper":"/paper/2607.29378"},"observation_digest":"sha256:d2abac2b18527418a6524bc1bbb5b16032aca51489ef764f5b1493179cab6f53","observation_id":"4818b6d2-88ed-4017-9a8c-ee93f1e474f8","resolution":{"observed_at":"2026-08-03T08:13:37.924211Z","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":"2026-08-03T08:13:38.003500Z","title":"Neural network inversion beyond gradient descent","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.29378","last_updated":"2026-07-31T13:01:43Z","snapshot_observed_at":"2026-08-09T13:37:56.341532Z","submitted_at":"2026-07-31T13:01:43Z","title":"PTP: Previous-Token Prediction based LLM Inversion for Near-Exact Prompt Reconstruction","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-03T08:13:38.003500Z"},"links":{"citing_paper":"/paper/2607.29378"},"observation_digest":"sha256:a607c691a4bfbab4f4703df952289c1c3b7ab1f50823969137fe756292e0fad9","observation_id":"0351c29f-a650-4e49-a8b0-a72bc4708a7a","resolution":{"observed_at":"2026-08-03T08:13:38.003500Z","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":"2026-08-03T08:13:38.465377Z","title":"Effective prompt extraction from language models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.29378","last_updated":"2026-07-31T13:01:43Z","snapshot_observed_at":"2026-08-09T13:37:56.341532Z","submitted_at":"2026-07-31T13:01:43Z","title":"PTP: Previous-Token Prediction based LLM Inversion for Near-Exact Prompt Reconstruction","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-03T08:13:38.465377Z"},"links":{"citing_paper":"/paper/2607.29378"},"observation_digest":"sha256:76480ded93c04a8e919a848ea35249fd2f33f1f2528248a8949cd3bc5b24fa9a","observation_id":"955ce192-c58e-4b9e-8571-e337e7d87ea5","resolution":{"observed_at":"2026-08-03T08:13:38.465377Z","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":"2026-08-03T08:13:38.578955Z","title":"Langley , title =","venue":null,"work_id":null,"year":2000},"citing_paper":{"arxiv_id":"2607.29378","last_updated":"2026-07-31T13:01:43Z","snapshot_observed_at":"2026-08-09T13:37:56.341532Z","submitted_at":"2026-07-31T13:01:43Z","title":"PTP: Previous-Token Prediction based LLM Inversion for Near-Exact Prompt Reconstruction","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-03T08:13:38.578955Z"},"links":{"citing_paper":"/paper/2607.29378"},"observation_digest":"sha256:e966f8139f027bda20f407410c810a4af048871282e25fbb4d3aa83d3f89f1c3","observation_id":"ad57144e-0d4c-4e04-8a78-ff1c5bc9a626","resolution":{"observed_at":"2026-08-03T08:13:38.578955Z","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":"2026-08-03T08:13:38.807628Z","title":null,"venue":null,"work_id":null,"year":1980},"citing_paper":{"arxiv_id":"2607.29378","last_updated":"2026-07-31T13:01:43Z","snapshot_observed_at":"2026-08-09T13:37:56.341532Z","submitted_at":"2026-07-31T13:01:43Z","title":"PTP: Previous-Token Prediction based LLM Inversion for Near-Exact Prompt Reconstruction","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-03T08:13:38.807628Z"},"links":{"citing_paper":"/paper/2607.29378"},"observation_digest":"sha256:6e9a5f885ff71720ec35884706f075499b4c1ad9f1f90403f2d622391e9ada60","observation_id":"f8031a01-8a5e-441f-831f-01af3e70272a","resolution":{"observed_at":"2026-08-03T08:13:38.807628Z","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":"2026-08-03T08:13:38.959804Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.29378","last_updated":"2026-07-31T13:01:43Z","snapshot_observed_at":"2026-08-09T13:37:56.341532Z","submitted_at":"2026-07-31T13:01:43Z","title":"PTP: Previous-Token Prediction based LLM Inversion for Near-Exact Prompt Reconstruction","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-03T08:13:38.959804Z"},"links":{"citing_paper":"/paper/2607.29378"},"observation_digest":"sha256:7c3e8c91211b780619935b3359be3fc16f0fbab7c5e34875af96df4443e5052e","observation_id":"5f0e6b7f-9fdb-42b6-9220-bd186d9388bc","resolution":{"observed_at":"2026-08-03T08:13:38.959804Z","resolver_source":null,"status":"parse_uncertain"},"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":"2026-08-03T08:13:39.087669Z","title":null,"venue":null,"work_id":null,"year":1983},"citing_paper":{"arxiv_id":"2607.29378","last_updated":"2026-07-31T13:01:43Z","snapshot_observed_at":"2026-08-09T13:37:56.341532Z","submitted_at":"2026-07-31T13:01:43Z","title":"PTP: Previous-Token Prediction based LLM Inversion for Near-Exact Prompt Reconstruction","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-03T08:13:39.087669Z"},"links":{"citing_paper":"/paper/2607.29378"},"observation_digest":"sha256:32256f3b8b38a3c215955de97946383928a678f984628006b5dfc44ae4a20bb1","observation_id":"5ca20eeb-1020-4adb-84c9-2b0d10de6d96","resolution":{"observed_at":"2026-08-03T08:13:39.087669Z","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":"2026-08-03T08:13:39.247757Z","title":null,"venue":null,"work_id":null,"year":2000},"citing_paper":{"arxiv_id":"2607.29378","last_updated":"2026-07-31T13:01:43Z","snapshot_observed_at":"2026-08-09T13:37:56.341532Z","submitted_at":"2026-07-31T13:01:43Z","title":"PTP: Previous-Token Prediction based LLM Inversion for Near-Exact Prompt Reconstruction","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-03T08:13:39.247757Z"},"links":{"citing_paper":"/paper/2607.29378"},"observation_digest":"sha256:b4cb0bb7f7ee8c4f5d6d8bb2349df5c7c443bc18b37ff9624d6409f64b7cb51a","observation_id":"51d0db6a-9f5b-4f8f-90cf-9d819045ad5d","resolution":{"observed_at":"2026-08-03T08:13:39.247757Z","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":"2026-08-03T08:13:39.402147Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.29378","last_updated":"2026-07-31T13:01:43Z","snapshot_observed_at":"2026-08-09T13:37:56.341532Z","submitted_at":"2026-07-31T13:01:43Z","title":"PTP: Previous-Token Prediction based LLM Inversion for Near-Exact Prompt Reconstruction","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-03T08:13:39.402147Z"},"links":{"citing_paper":"/paper/2607.29378"},"observation_digest":"sha256:f6e66fe355dcd37d612ca266a4620226c92797cf738e3803328b4f9809863102","observation_id":"38f5c1da-5c46-41a1-886a-0baad717dbc7","resolution":{"observed_at":"2026-08-03T08:13:39.402147Z","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":"2026-08-03T08:13:39.586318Z","title":"Newell and P","venue":null,"work_id":null,"year":1981},"citing_paper":{"arxiv_id":"2607.29378","last_updated":"2026-07-31T13:01:43Z","snapshot_observed_at":"2026-08-09T13:37:56.341532Z","submitted_at":"2026-07-31T13:01:43Z","title":"PTP: Previous-Token Prediction based LLM Inversion for Near-Exact Prompt Reconstruction","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-03T08:13:39.586318Z"},"links":{"citing_paper":"/paper/2607.29378"},"observation_digest":"sha256:de575cc6f99b55cc3b750d86aad1144db3944c44611cfe4dadd9c4d7a1ebb165","observation_id":"2d6631b6-2ca5-497c-b72a-1eab9bb2e63e","resolution":{"observed_at":"2026-08-03T08:13:39.586318Z","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":"2026-08-03T08:13:39.717478Z","title":null,"venue":null,"work_id":null,"year":1959},"citing_paper":{"arxiv_id":"2607.29378","last_updated":"2026-07-31T13:01:43Z","snapshot_observed_at":"2026-08-09T13:37:56.341532Z","submitted_at":"2026-07-31T13:01:43Z","title":"PTP: Previous-Token Prediction based LLM Inversion for Near-Exact Prompt Reconstruction","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-03T08:13:39.717478Z"},"links":{"citing_paper":"/paper/2607.29378"},"observation_digest":"sha256:6d3b5f4f7af413dfea24a3a877aa349b8f81c3f37e364a397b3817d5ed97c5d8","observation_id":"6b2eaf21-9008-4e6c-b216-9402eb6945b4","resolution":{"observed_at":"2026-08-03T08:13:39.717478Z","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":"2026-08-03T08:13:39.839844Z","title":"2025 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML) , pages=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.29378","last_updated":"2026-07-31T13:01:43Z","snapshot_observed_at":"2026-08-09T13:37:56.341532Z","submitted_at":"2026-07-31T13:01:43Z","title":"PTP: Previous-Token Prediction based LLM Inversion for Near-Exact Prompt Reconstruction","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-03T08:13:39.839844Z"},"links":{"citing_paper":"/paper/2607.29378"},"observation_digest":"sha256:17c17247ad2423a0139b6971e63bba783b789f714350f165bb309dd7c2a9513c","observation_id":"c79d5870-e99b-4755-93a4-edc4b589f700","resolution":{"observed_at":"2026-08-03T08:13:39.839844Z","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":"2026-08-03T08:13:39.976370Z","title":"Annals of Internal Medicine: Clinical Cases , volume=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.29378","last_updated":"2026-07-31T13:01:43Z","snapshot_observed_at":"2026-08-09T13:37:56.341532Z","submitted_at":"2026-07-31T13:01:43Z","title":"PTP: Previous-Token Prediction based LLM Inversion for Near-Exact Prompt Reconstruction","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-03T08:13:39.976370Z"},"links":{"citing_paper":"/paper/2607.29378"},"observation_digest":"sha256:b38f405df01eaafe19be4bf24088e51979aeaebde269f3cbe86e00c954e53668","observation_id":"cea5858c-acaf-48a8-bfa0-4fe05c49bb67","resolution":{"observed_at":"2026-08-03T08:13:39.976370Z","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":"2026-08-03T08:13:40.199364Z","title":"2022 , eprint=","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.29378","last_updated":"2026-07-31T13:01:43Z","snapshot_observed_at":"2026-08-09T13:37:56.341532Z","submitted_at":"2026-07-31T13:01:43Z","title":"PTP: Previous-Token Prediction based LLM Inversion for Near-Exact Prompt Reconstruction","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-03T08:13:40.199364Z"},"links":{"citing_paper":"/paper/2607.29378"},"observation_digest":"sha256:0c3477db374299af00b91b08e6d8a45a25bd933502f69ab7dd74303ce69a9a2e","observation_id":"cd643d31-42e0-4d74-ad57-b50cc1abcc82","resolution":{"observed_at":"2026-08-03T08:13:40.199364Z","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":"2026-08-03T08:13:40.285877Z","title":"2023 , eprint=","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.29378","last_updated":"2026-07-31T13:01:43Z","snapshot_observed_at":"2026-08-09T13:37:56.341532Z","submitted_at":"2026-07-31T13:01:43Z","title":"PTP: Previous-Token Prediction based LLM Inversion for Near-Exact Prompt Reconstruction","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-03T08:13:40.285877Z"},"links":{"citing_paper":"/paper/2607.29378"},"observation_digest":"sha256:c823764508924b69b50d4b88720719498e2c26dc5a5dc1542b36763d6aba63b0","observation_id":"0b4c2e76-8e37-4a6d-a402-a423c1dc4101","resolution":{"observed_at":"2026-08-03T08:13:40.285877Z","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":"2026-08-03T08:13:40.349119Z","title":"Proceedings of The 26th International Conference on Artificial Intelligence and Statistics , pages =","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.29378","last_updated":"2026-07-31T13:01:43Z","snapshot_observed_at":"2026-08-09T13:37:56.341532Z","submitted_at":"2026-07-31T13:01:43Z","title":"PTP: Previous-Token Prediction based LLM Inversion for Near-Exact Prompt Reconstruction","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-03T08:13:40.349119Z"},"links":{"citing_paper":"/paper/2607.29378"},"observation_digest":"sha256:2f11e84ae4116502febd3963abc1724ee0e2b024c47ac97086c208717624f031","observation_id":"01a2ac7c-c7ca-42fe-a554-32c540712615","resolution":{"observed_at":"2026-08-03T08:13:40.349119Z","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":"2026-08-03T08:13:40.443146Z","title":"Reconstructing Training Data with Informed Adversaries , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.29378","last_updated":"2026-07-31T13:01:43Z","snapshot_observed_at":"2026-08-09T13:37:56.341532Z","submitted_at":"2026-07-31T13:01:43Z","title":"PTP: Previous-Token Prediction based LLM Inversion for Near-Exact Prompt Reconstruction","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-03T08:13:40.443146Z"},"links":{"citing_paper":"/paper/2607.29378"},"observation_digest":"sha256:794128510a8683e3d3e5ad2bdd17b19fe475be6fe91f37e4b123bbb1dc2301bf","observation_id":"70de9722-8cc3-4ade-89f8-41154c5a3ad1","resolution":{"observed_at":"2026-08-03T08:13:40.443146Z","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":"10.1016/0167-8191(90)90081-j","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Parallel Computing , volume =","venue":"Parallel Computing","work_id":"7c6e74a6-c7a8-491a-9e72-1e275c062990","year":1990},"citing_paper":{"arxiv_id":"2607.29378","last_updated":"2026-07-31T13:01:43Z","snapshot_observed_at":"2026-08-09T13:37:56.341532Z","submitted_at":"2026-07-31T13:01:43Z","title":"PTP: Previous-Token Prediction based LLM Inversion for Near-Exact Prompt Reconstruction","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-03T08:13:40.518751Z"},"links":{"citing_paper":"/paper/2607.29378"},"observation_digest":"sha256:14e01087d04ad637d27f52c9754eb064d200d8d3e5702abb2de6abe3481aded3","observation_id":"b92d7b95-3e0a-43ec-bb83-a886931ba066","resolution":{"observed_at":"2026-08-03T08:18:20.022245Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-03T08:13:40.597847Z","title":"and Reed, R.D","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.29378","last_updated":"2026-07-31T13:01:43Z","snapshot_observed_at":"2026-08-09T13:37:56.341532Z","submitted_at":"2026-07-31T13:01:43Z","title":"PTP: Previous-Token Prediction based LLM Inversion for Near-Exact Prompt Reconstruction","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-03T08:13:40.597847Z"},"links":{"citing_paper":"/paper/2607.29378"},"observation_digest":"sha256:7661023aee8ae73c6c8c69e546bdef8c22929c8540baa30594c0c731803e8c81","observation_id":"bfc67cae-9e5a-4b7b-9b0f-bb393e816faf","resolution":{"observed_at":"2026-08-03T08:13:40.597847Z","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":"2026-08-03T08:13:40.737282Z","title":"The Second Tiny Papers Track at ICLR 2024 , year=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.29378","last_updated":"2026-07-31T13:01:43Z","snapshot_observed_at":"2026-08-09T13:37:56.341532Z","submitted_at":"2026-07-31T13:01:43Z","title":"PTP: Previous-Token Prediction based LLM Inversion for Near-Exact Prompt Reconstruction","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-03T08:13:40.737282Z"},"links":{"citing_paper":"/paper/2607.29378"},"observation_digest":"sha256:cd20e1f5014555e6dda56b00f424eec7c17551417aa1f67eff7777f7ce895c6c","observation_id":"b05f25e8-2572-4b9c-8862-894c3b99dad6","resolution":{"observed_at":"2026-08-03T08:13:40.737282Z","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":"2026-08-03T08:13:40.867616Z","title":"IEEE Signal Processing Magazine , volume=","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2607.29378","last_updated":"2026-07-31T13:01:43Z","snapshot_observed_at":"2026-08-09T13:37:56.341532Z","submitted_at":"2026-07-31T13:01:43Z","title":"PTP: Previous-Token Prediction based LLM Inversion for Near-Exact Prompt Reconstruction","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-03T08:13:40.867616Z"},"links":{"citing_paper":"/paper/2607.29378"},"observation_digest":"sha256:097592d0ba396d3a468fbc67eb9981b0dcda80aadf95ac46336f3b53b351ad2d","observation_id":"a70fcce5-c403-4bdd-928c-864af5115c5a","resolution":{"observed_at":"2026-08-03T08:13:40.867616Z","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":"2026-08-03T08:13:41.016297Z","title":"2015 , eprint=","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2607.29378","last_updated":"2026-07-31T13:01:43Z","snapshot_observed_at":"2026-08-09T13:37:56.341532Z","submitted_at":"2026-07-31T13:01:43Z","title":"PTP: Previous-Token Prediction based LLM Inversion for Near-Exact Prompt Reconstruction","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-03T08:13:41.016297Z"},"links":{"citing_paper":"/paper/2607.29378"},"observation_digest":"sha256:b5be080b94191a82c88455c5489a279df12148f3084d6546493b8929840d76d5","observation_id":"7f915fd7-dfb3-42d5-a7c9-1d8e238759b1","resolution":{"observed_at":"2026-08-03T08:13:41.016297Z","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":"2026-08-03T08:13:41.124949Z","title":"Journal of Machine Learning Research , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.29378","last_updated":"2026-07-31T13:01:43Z","snapshot_observed_at":"2026-08-09T13:37:56.341532Z","submitted_at":"2026-07-31T13:01:43Z","title":"PTP: Previous-Token Prediction based LLM Inversion for Near-Exact Prompt Reconstruction","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-03T08:13:41.124949Z"},"links":{"citing_paper":"/paper/2607.29378"},"observation_digest":"sha256:27877aef1c4c810e7bd05afab49130c6b813d75672b39ff835d33e6793768663","observation_id":"4f39eac2-6367-476c-92b6-189432783bca","resolution":{"observed_at":"2026-08-03T08:13:41.124949Z","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":"2026-08-03T08:13:41.230905Z","title":"Proceedings of the 32nd International Conference on Machine Learning , pages =","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2607.29378","last_updated":"2026-07-31T13:01:43Z","snapshot_observed_at":"2026-08-09T13:37:56.341532Z","submitted_at":"2026-07-31T13:01:43Z","title":"PTP: Previous-Token Prediction based LLM Inversion for Near-Exact Prompt Reconstruction","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-03T08:13:41.230905Z"},"links":{"citing_paper":"/paper/2607.29378"},"observation_digest":"sha256:c2f8a47a17a818874b00e6d3704d14a63ee7dee93933496e1aaa2cb439c76d98","observation_id":"a04af51d-dacc-4c62-8592-51a91448a0a5","resolution":{"observed_at":"2026-08-03T08:13:41.230905Z","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":"2026-08-03T08:13:41.379782Z","title":"2017 , eprint=","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.29378","last_updated":"2026-07-31T13:01:43Z","snapshot_observed_at":"2026-08-09T13:37:56.341532Z","submitted_at":"2026-07-31T13:01:43Z","title":"PTP: Previous-Token Prediction based LLM Inversion for Near-Exact Prompt Reconstruction","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-03T08:13:41.379782Z"},"links":{"citing_paper":"/paper/2607.29378"},"observation_digest":"sha256:cb7bfaa6afadf0d2c32b66d48cf6dd62008dabfa56bb295873d19a1edbbd4206","observation_id":"26b3510d-adc8-485f-94a2-38a9e871309f","resolution":{"observed_at":"2026-08-03T08:13:41.379782Z","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":"10.1016/j.neunet.2006.07.005","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Saad and Donald C","venue":"Neural Networks","work_id":"cf94bf9e-ef02-4518-a919-86910662af42","year":2007},"citing_paper":{"arxiv_id":"2607.29378","last_updated":"2026-07-31T13:01:43Z","snapshot_observed_at":"2026-08-09T13:37:56.341532Z","submitted_at":"2026-07-31T13:01:43Z","title":"PTP: Previous-Token Prediction based LLM Inversion for Near-Exact Prompt Reconstruction","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-03T08:13:41.521174Z"},"links":{"citing_paper":"/paper/2607.29378"},"observation_digest":"sha256:93d23eb6e0723b05021cae6ad44f9db31a6dfe5fb045612870bf17146f127bc2","observation_id":"b6044cb8-efde-497b-8cc8-655e37460da1","resolution":{"observed_at":"2026-08-03T08:18:20.232401Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-03T08:13:41.674747Z","title":"2017 , booktitle=","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.29378","last_updated":"2026-07-31T13:01:43Z","snapshot_observed_at":"2026-08-09T13:37:56.341532Z","submitted_at":"2026-07-31T13:01:43Z","title":"PTP: Previous-Token Prediction based LLM Inversion for Near-Exact Prompt Reconstruction","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-03T08:13:41.674747Z"},"links":{"citing_paper":"/paper/2607.29378"},"observation_digest":"sha256:4680be10ae7fcb5fc572455b72ee51b4026d44a02470ea30ace6a29e65c8e38f","observation_id":"d7512ec2-5d27-4085-bef0-185aba467b3e","resolution":{"observed_at":"2026-08-03T08:13:41.674747Z","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":"2026-08-03T08:13:41.749192Z","title":"Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security , pages =","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.29378","last_updated":"2026-07-31T13:01:43Z","snapshot_observed_at":"2026-08-09T13:37:56.341532Z","submitted_at":"2026-07-31T13:01:43Z","title":"PTP: Previous-Token Prediction based LLM Inversion for Near-Exact Prompt Reconstruction","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-03T08:13:41.749192Z"},"links":{"citing_paper":"/paper/2607.29378"},"observation_digest":"sha256:82d06f8fb6386604228f748130f4e660db3ffcd7ce0839be36da0afab259458f","observation_id":"3aa6718e-f1a9-4b0c-a89d-b979588d96f4","resolution":{"observed_at":"2026-08-03T08:13:41.749192Z","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":"2026-08-03T08:13:41.855124Z","title":"Model Inversion Networks for Model-Based Optimization , url =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.29378","last_updated":"2026-07-31T13:01:43Z","snapshot_observed_at":"2026-08-09T13:37:56.341532Z","submitted_at":"2026-07-31T13:01:43Z","title":"PTP: Previous-Token Prediction based LLM Inversion for Near-Exact Prompt Reconstruction","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-03T08:13:41.855124Z"},"links":{"citing_paper":"/paper/2607.29378"},"observation_digest":"sha256:2ee0d083db0c1599b4575ccabafd69586d08e05342689d779cb4cb742968b473","observation_id":"c8f5cc50-e025-4161-900e-aa508a7510ec","resolution":{"observed_at":"2026-08-03T08:13:41.855124Z","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":"2026-08-03T08:13:41.977314Z","title":"2022 , eprint=","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.29378","last_updated":"2026-07-31T13:01:43Z","snapshot_observed_at":"2026-08-09T13:37:56.341532Z","submitted_at":"2026-07-31T13:01:43Z","title":"PTP: Previous-Token Prediction based LLM Inversion for Near-Exact Prompt Reconstruction","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-03T08:13:41.977314Z"},"links":{"citing_paper":"/paper/2607.29378"},"observation_digest":"sha256:a425a711ce6f956a63f8c98da29f6c3e57c91944d6f77eeb2ff16bead58581d6","observation_id":"c58a480d-d803-437e-95bb-2036c5c71e04","resolution":{"observed_at":"2026-08-03T08:13:41.977314Z","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":"2026-08-03T08:13:42.139160Z","title":"2022 , eprint=","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.29378","last_updated":"2026-07-31T13:01:43Z","snapshot_observed_at":"2026-08-09T13:37:56.341532Z","submitted_at":"2026-07-31T13:01:43Z","title":"PTP: Previous-Token Prediction based LLM Inversion for Near-Exact Prompt Reconstruction","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-03T08:13:42.139160Z"},"links":{"citing_paper":"/paper/2607.29378"},"observation_digest":"sha256:91f94f67ca3f1583a5919747714ff915dff8c97c4d59f8fa21080e2f80ae5bb7","observation_id":"94a60d30-c827-48a0-867d-ded98ed58dc9","resolution":{"observed_at":"2026-08-03T08:13:42.139160Z","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":"2026-08-03T08:13:42.280465Z","title":"CIFAR-10 (Canadian Institute for Advanced Research) , journal=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.29378","last_updated":"2026-07-31T13:01:43Z","snapshot_observed_at":"2026-08-09T13:37:56.341532Z","submitted_at":"2026-07-31T13:01:43Z","title":"PTP: Previous-Token Prediction based LLM Inversion for Near-Exact Prompt Reconstruction","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-03T08:13:42.280465Z"},"links":{"citing_paper":"/paper/2607.29378"},"observation_digest":"sha256:8e2ef452627815bfdeef8b7e3048e21f4eb887ba6dd940dde08ed82399e2faff","observation_id":"a8f0e9f0-a9e2-4ce1-9222-d557263acaea","resolution":{"observed_at":"2026-08-03T08:13:42.280465Z","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":"2026-08-03T08:13:42.391901Z","title":"2014 , eprint=","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2607.29378","last_updated":"2026-07-31T13:01:43Z","snapshot_observed_at":"2026-08-09T13:37:56.341532Z","submitted_at":"2026-07-31T13:01:43Z","title":"PTP: Previous-Token Prediction based LLM Inversion for Near-Exact Prompt Reconstruction","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-03T08:13:42.391901Z"},"links":{"citing_paper":"/paper/2607.29378"},"observation_digest":"sha256:3f2553748e94657d57c8777a020053726ce5d7ffe8c3ac99bfc2126e14a31c52","observation_id":"67fe1c60-634d-446a-b9b0-48ce88d84f01","resolution":{"observed_at":"2026-08-03T08:13:42.391901Z","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":"2026-08-03T08:13:42.473357Z","title":"Convolutional Sparse Autoencoders for Image Classification , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.29378","last_updated":"2026-07-31T13:01:43Z","snapshot_observed_at":"2026-08-09T13:37:56.341532Z","submitted_at":"2026-07-31T13:01:43Z","title":"PTP: Previous-Token Prediction based LLM Inversion for Near-Exact Prompt Reconstruction","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-03T08:13:42.473357Z"},"links":{"citing_paper":"/paper/2607.29378"},"observation_digest":"sha256:1b91b1e089ed839c4c063aaa425a77762adf505579ae701fc3ade113540e5288","observation_id":"b4ccfc94-17f5-4b69-b52c-212c2ce014c4","resolution":{"observed_at":"2026-08-03T08:13:42.473357Z","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":"2026-08-03T08:13:42.576442Z","title":"The 2023 Conference on Empirical Methods in Natural Language Processing , year=","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.29378","last_updated":"2026-07-31T13:01:43Z","snapshot_observed_at":"2026-08-09T13:37:56.341532Z","submitted_at":"2026-07-31T13:01:43Z","title":"PTP: Previous-Token Prediction based LLM Inversion for Near-Exact Prompt Reconstruction","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-03T08:13:42.576442Z"},"links":{"citing_paper":"/paper/2607.29378"},"observation_digest":"sha256:f39de2134565be6caffea184e6db5667c370168dab96302d7b95c74181030d29","observation_id":"7e790da2-8c4c-4753-8f9d-76ecb73d23e9","resolution":{"observed_at":"2026-08-03T08:13:42.576442Z","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":"2026-08-03T08:13:42.829851Z","title":"The Twelfth International Conference on Learning Representations , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.29378","last_updated":"2026-07-31T13:01:43Z","snapshot_observed_at":"2026-08-09T13:37:56.341532Z","submitted_at":"2026-07-31T13:01:43Z","title":"PTP: Previous-Token Prediction based LLM Inversion for Near-Exact Prompt Reconstruction","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-03T08:13:42.829851Z"},"links":{"citing_paper":"/paper/2607.29378"},"observation_digest":"sha256:3aa73ae75788c645aac82c356b6db422142adf896cf44a14755bcb67de6feffc","observation_id":"78152115-1add-4610-9021-ec19a1f4582f","resolution":{"observed_at":"2026-08-03T08:13:42.829851Z","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":"2026-08-03T08:13:42.960814Z","title":"Extracting Prompts by Inverting LLM Outputs","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.29378","last_updated":"2026-07-31T13:01:43Z","snapshot_observed_at":"2026-08-09T13:37:56.341532Z","submitted_at":"2026-07-31T13:01:43Z","title":"PTP: Previous-Token Prediction based LLM Inversion for Near-Exact Prompt Reconstruction","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-03T08:13:42.960814Z"},"links":{"citing_paper":"/paper/2607.29378"},"observation_digest":"sha256:15b6d77fcc1cdd645ad26841b78a3ea73d1244f9d5c3db08ef4809224cc14ab0","observation_id":"566cc65e-5240-4c56-982e-3172f4f4d349","resolution":{"observed_at":"2026-08-03T08:13:42.960814Z","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":"2026-08-03T08:13:43.049014Z","title":"First Conference on Language Modeling , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.29378","last_updated":"2026-07-31T13:01:43Z","snapshot_observed_at":"2026-08-09T13:37:56.341532Z","submitted_at":"2026-07-31T13:01:43Z","title":"PTP: Previous-Token Prediction based LLM Inversion for Near-Exact Prompt Reconstruction","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-03T08:13:43.049014Z"},"links":{"citing_paper":"/paper/2607.29378"},"observation_digest":"sha256:2b3e5a7aac9e25a92492d65665d9def6e232c742244922fe3b352dd111f738cb","observation_id":"ff565f7b-0c9e-4371-801c-5d127312f8c2","resolution":{"observed_at":"2026-08-03T08:13:43.049014Z","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":"2026-08-03T08:13:43.133969Z","title":"2025 , eprint=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.29378","last_updated":"2026-07-31T13:01:43Z","snapshot_observed_at":"2026-08-09T13:37:56.341532Z","submitted_at":"2026-07-31T13:01:43Z","title":"PTP: Previous-Token Prediction based LLM Inversion for Near-Exact Prompt Reconstruction","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-03T08:13:43.133969Z"},"links":{"citing_paper":"/paper/2607.29378"},"observation_digest":"sha256:825223446950b5284dcc03b86be33b8f7d3105012aaea4bed8572816715d5021","observation_id":"41733a5e-a2f4-4417-8ff1-5b93eddddbf9","resolution":{"observed_at":"2026-08-03T08:13:43.133969Z","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":"2026-08-03T08:13:43.229107Z","title":"Muslims in ML Workshop co-located with NeurIPS 2024 , year=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.29378","last_updated":"2026-07-31T13:01:43Z","snapshot_observed_at":"2026-08-09T13:37:56.341532Z","submitted_at":"2026-07-31T13:01:43Z","title":"PTP: Previous-Token Prediction based LLM Inversion for Near-Exact Prompt Reconstruction","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-03T08:13:43.229107Z"},"links":{"citing_paper":"/paper/2607.29378"},"observation_digest":"sha256:50f65caada799458873e8ea47eca639f70ec8c5ed7f7db5544c7f490aadafabb","observation_id":"6a52efdc-0c8e-44aa-a72b-0f6596a44e2d","resolution":{"observed_at":"2026-08-03T08:13:43.229107Z","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":"2026-08-03T08:13:43.321515Z","title":"2025 , eprint=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.29378","last_updated":"2026-07-31T13:01:43Z","snapshot_observed_at":"2026-08-09T13:37:56.341532Z","submitted_at":"2026-07-31T13:01:43Z","title":"PTP: Previous-Token Prediction based LLM Inversion for Near-Exact Prompt Reconstruction","version":1},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-03T08:13:43.321515Z"},"links":{"citing_paper":"/paper/2607.29378"},"observation_digest":"sha256:d69e28b5fa5c3642a84c5774898a981df84e5fd4412f93645d5d544da74b4075","observation_id":"e90a457c-52cf-4713-ad2e-e2be9522ad7d","resolution":{"observed_at":"2026-08-03T08:13:43.321515Z","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":"2026-08-03T08:13:43.409749Z","title":"2025 , eprint=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.29378","last_updated":"2026-07-31T13:01:43Z","snapshot_observed_at":"2026-08-09T13:37:56.341532Z","submitted_at":"2026-07-31T13:01:43Z","title":"PTP: Previous-Token Prediction based LLM Inversion for Near-Exact Prompt Reconstruction","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-03T08:13:43.409749Z"},"links":{"citing_paper":"/paper/2607.29378"},"observation_digest":"sha256:9c37a2c194b8209a388b1c0b27f540eda58a85b5fce10f5a41346b7daa04ac58","observation_id":"b67a2398-817b-4475-bc7d-938fde2a00db","resolution":{"observed_at":"2026-08-03T08:13:43.409749Z","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":"2026-08-03T08:13:43.523279Z","title":"Proceedings of the IEEE international conference on computer vision , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.29378","last_updated":"2026-07-31T13:01:43Z","snapshot_observed_at":"2026-08-09T13:37:56.341532Z","submitted_at":"2026-07-31T13:01:43Z","title":"PTP: Previous-Token Prediction based LLM Inversion for Near-Exact Prompt Reconstruction","version":1},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-03T08:13:43.523279Z"},"links":{"citing_paper":"/paper/2607.29378"},"observation_digest":"sha256:6784ba32bc954b70f6d27cfa54881bfac3f75c9c56df80b6afe0477d5a1c9d4c","observation_id":"77a4066a-681c-45c4-9f58-e0e7a2e40595","resolution":{"observed_at":"2026-08-03T08:13:43.523279Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.29378","last_updated":"2026-07-31T13:01:43Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-09T13:37:56.341532Z","submitted_at":"2026-07-31T13:01:43Z","title":"PTP: Previous-Token Prediction based LLM Inversion for Near-Exact Prompt Reconstruction"},"reference_resolution":{"displayed":55,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":1,"unresolved":51,"verified_exact":3,"verified_fuzzy":0},"total_outbound_references":55},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2607.29378."}