{"as_of":"2026-08-18T21:31:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d1e28ee63e05491888f6427fd57c731fc4e8b225281f506f84758376d8bceab4","coverage":[{"denominator":15,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":15,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-05T01:39:37.116649Z","state":"measured"},{"denominator":15,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":15,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+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/2606.11207/citation-record","integrity":"/paper/2606.11207/integrity","json":"/paper/2606.11207/citation-record.json","paper":"/paper/2606.11207"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T01:40:34.408656Z","title":"Customer purchase behavior prediction in e-commerce: A conceptual framework and research agenda","venue":null,"work_id":"e187075b-939b-4c49-bf31-c0a4746541c6","year":2019},"citing_paper":{"arxiv_id":"2606.11207","last_updated":"2026-04-23T04:14:44Z","snapshot_observed_at":"2026-08-17T18:55:14.408262Z","submitted_at":"2026-04-23T04:14:44Z","title":"From Explicit Elements to Implicit Intent: A Predefined Library for Auditable Behavioral Inference","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-07-05T01:39:37.116649Z"},"links":{"citing_paper":"/paper/2606.11207"},"observation_digest":"sha256:37e133676144bd28857c93b33c96dd396e1cb09b130bc4868799127bb8e64373","observation_id":"47a61b8c-fe8b-4684-aaea-0ad4f494b46a","resolution":{"observed_at":"2026-07-05T01:40:34.410671Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s00521-018-3523-","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T01:40:34.333705Z","title":null,"venue":null,"work_id":"9b042700-35e3-473d-85e4-bf02dbe9dc8d","year":2019},"citing_paper":{"arxiv_id":"2606.11207","last_updated":"2026-04-23T04:14:44Z","snapshot_observed_at":"2026-08-17T18:55:14.408262Z","submitted_at":"2026-04-23T04:14:44Z","title":"From Explicit Elements to Implicit Intent: A Predefined Library for Auditable Behavioral Inference","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-05T01:39:37.116649Z"},"links":{"citing_paper":"/paper/2606.11207"},"observation_digest":"sha256:741aba1e395a8478a20987bd4696e094643cd078d7af43fcf8c4a86761111e90","observation_id":"368e4de0-3aba-4af8-896c-93cf5d6db820","resolution":{"observed_at":"2026-07-05T01:40:34.335543Z","resolver_source":"doi_truncated","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-07-05T01:40:34.416521Z","title":"Predicting e- commerce purchase intention using machine learning.ASEAN Journal of Scientific and Technological Reports, 4(1):42–58, 2025","venue":null,"work_id":"f6071105-27b1-4937-b42f-824d234703a5","year":2025},"citing_paper":{"arxiv_id":"2606.11207","last_updated":"2026-04-23T04:14:44Z","snapshot_observed_at":"2026-08-17T18:55:14.408262Z","submitted_at":"2026-04-23T04:14:44Z","title":"From Explicit Elements to Implicit Intent: A Predefined Library for Auditable Behavioral Inference","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-05T01:39:37.116649Z"},"links":{"citing_paper":"/paper/2606.11207"},"observation_digest":"sha256:ac10bf06111d80c7347bf0c6ad28fa11ab870a061a30ca262170251bb7e36b13","observation_id":"1b015f10-813f-4949-9414-1603d4589f3a","resolution":{"observed_at":"2026-07-05T01:40:34.418347Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2025.354826","doi":"10.1109/access.2025.3548267","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Character- ization of a Gaseous Time Projection Chamber With an Internal 39Ar Source","venue":"IEEE Access","work_id":"7b8972e6-a6df-4ce4-a057-96a8d4fbcd76","year":2025},"citing_paper":{"arxiv_id":"2606.11207","last_updated":"2026-04-23T04:14:44Z","snapshot_observed_at":"2026-08-17T18:55:14.408262Z","submitted_at":"2026-04-23T04:14:44Z","title":"From Explicit Elements to Implicit Intent: A Predefined Library for Auditable Behavioral Inference","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-05T01:39:37.116649Z"},"links":{"citing_paper":"/paper/2606.11207"},"observation_digest":"sha256:95c6b82f536848a6b52961f99bd6d1b1527f89ab92902c3eaaec5689d296b77e","observation_id":"16169837-dedc-4408-b3f5-563dcd2ee524","resolution":{"observed_at":"2026-07-05T01:40:34.327881Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-07-05T01:40:34.414083Z","title":"A user purchase behavior prediction method based on xgboost.Electronics, 12(9):2047,","venue":null,"work_id":"7fe863f3-937d-4b61-8060-59beea82c6d9","year":2047},"citing_paper":{"arxiv_id":"2606.11207","last_updated":"2026-04-23T04:14:44Z","snapshot_observed_at":"2026-08-17T18:55:14.408262Z","submitted_at":"2026-04-23T04:14:44Z","title":"From Explicit Elements to Implicit Intent: A Predefined Library for Auditable Behavioral Inference","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-07-05T01:39:37.116649Z"},"links":{"citing_paper":"/paper/2606.11207"},"observation_digest":"sha256:1f414c1d63e4354ca8ebe9895efb1a223a2cf867957d4afded94c1c99c067728","observation_id":"7d06bf0e-c77a-4479-9b81-4889d48d82dd","resolution":{"observed_at":"2026-07-05T01:40:34.415740Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/electronics12092047","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"Electronics","work_id":"f2f2b5a2-acbf-4c20-b78d-5dab695287a2","year":null},"citing_paper":{"arxiv_id":"2606.11207","last_updated":"2026-04-23T04:14:44Z","snapshot_observed_at":"2026-08-17T18:55:14.408262Z","submitted_at":"2026-04-23T04:14:44Z","title":"From Explicit Elements to Implicit Intent: A Predefined Library for Auditable Behavioral Inference","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-07-05T01:39:37.116649Z"},"links":{"citing_paper":"/paper/2606.11207"},"observation_digest":"sha256:6e220fde36fa55164f470541429c1c6e26eae98e84b709886ad97decbd1ce31d","observation_id":"2fe6e1ee-d66d-40ff-a7fb-6c6ab13ac5eb","resolution":{"observed_at":"2026-07-05T01:40:34.343719Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1371/journal.pone.0299087","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"PLoS ONE","work_id":"b5071b50-055d-4218-a3bd-fa13ae16e6b9","year":2024},"citing_paper":{"arxiv_id":"2606.11207","last_updated":"2026-04-23T04:14:44Z","snapshot_observed_at":"2026-08-17T18:55:14.408262Z","submitted_at":"2026-04-23T04:14:44Z","title":"From Explicit Elements to Implicit Intent: A Predefined Library for Auditable Behavioral Inference","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-07-05T01:39:37.116649Z"},"links":{"citing_paper":"/paper/2606.11207"},"observation_digest":"sha256:d281df10f3a862fa2a7308190234d7b52e4067165fd1e5d88393bfa19bb626fb","observation_id":"d402dc97-ff32-4809-9db3-5683a5252a78","resolution":{"observed_at":"2026-07-05T01:40:34.341308Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.7148/2025-0593","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Large language models for analyzing e-commerce web server logs","venue":null,"work_id":"c14a3940-1437-4cc9-8da3-97e6baf3f35c","year":2025},"citing_paper":{"arxiv_id":"2606.11207","last_updated":"2026-04-23T04:14:44Z","snapshot_observed_at":"2026-08-17T18:55:14.408262Z","submitted_at":"2026-04-23T04:14:44Z","title":"From Explicit Elements to Implicit Intent: A Predefined Library for Auditable Behavioral Inference","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-07-05T01:39:37.116649Z"},"links":{"citing_paper":"/paper/2606.11207"},"observation_digest":"sha256:71b4b74c6e5ecaaad95f557440a5a09f5610aec59bd2a095b42dec58efb0fb00","observation_id":"1fa4b2d5-b5e2-490d-9fd9-67c0a7cc5bdd","resolution":{"observed_at":"2026-07-05T01:40:34.336598Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/informatics13040063","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Marić et al","venue":"Informatics","work_id":"44894dea-f9ee-41b3-940b-78683bd09f20","year":2026},"citing_paper":{"arxiv_id":"2606.11207","last_updated":"2026-04-23T04:14:44Z","snapshot_observed_at":"2026-08-17T18:55:14.408262Z","submitted_at":"2026-04-23T04:14:44Z","title":"From Explicit Elements to Implicit Intent: A Predefined Library for Auditable Behavioral Inference","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-07-05T01:39:37.116649Z"},"links":{"citing_paper":"/paper/2606.11207"},"observation_digest":"sha256:0813bb35d24a06f995fc88163815c7ac85f9e2a5492d24c09be5ad096f724bf5","observation_id":"91fc7831-5785-4066-95d1-e0bf7540afde","resolution":{"observed_at":"2026-07-05T01:40:34.323226Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2604.12390","last_updated":"2026-04-17T02:17:36Z","snapshot_observed_at":"2026-08-14T15:26:07.351970Z","submitted_at":"2026-04-14T07:24:08Z","title":"Heuristic Classification of Thoughts Prompting (HCoT): Integrating Expert System Heuristics for Structured Reasoning into Large Language Models","version":3},"cited_work":{"arxiv_id":"2604.12390","doi":null,"metadata_source":"pith","pith_arxiv_id":"2604.12390","snapshot_observed_at":"2026-07-05T01:40:34.379961Z","title":"Heuristic Classification of Thoughts Prompting (HCoT): Integrating Expert System Heuristics for Structured Reasoning into Large Language Models","venue":"cs.AI","work_id":"a895d2f7-b2a7-40f4-9490-6b1d21807d75","year":2026},"citing_paper":{"arxiv_id":"2606.11207","last_updated":"2026-04-23T04:14:44Z","snapshot_observed_at":"2026-08-17T18:55:14.408262Z","submitted_at":"2026-04-23T04:14:44Z","title":"From Explicit Elements to Implicit Intent: A Predefined Library for Auditable Behavioral Inference","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-07-05T01:39:37.116649Z"},"links":{"cited_paper":"/paper/2604.12390","citing_paper":"/paper/2606.11207"},"observation_digest":"sha256:9ae7f51a7323bd47ae58845b52ea685f01eb58e1427aa8cc118a383b0996294b","observation_id":"8150efbe-f5ae-41a4-8a88-0bc9eb4140d9","resolution":{"observed_at":"2026-07-05T01:40:34.381874Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-07-05T01:40:34.411513Z","title":null,"venue":null,"work_id":"4dfb8ae3-208d-45fc-8b50-52008f7ea38d","year":2018},"citing_paper":{"arxiv_id":"2606.11207","last_updated":"2026-04-23T04:14:44Z","snapshot_observed_at":"2026-08-17T18:55:14.408262Z","submitted_at":"2026-04-23T04:14:44Z","title":"From Explicit Elements to Implicit Intent: A Predefined Library for Auditable Behavioral Inference","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-05T01:39:37.116649Z"},"links":{"citing_paper":"/paper/2606.11207"},"observation_digest":"sha256:9c9678018ad8fb7161c54f7cd4f13e42898be37b6a1e3c57c0db643c9799cba5","observation_id":"5cd9981a-0e92-4977-8721-d4ecacf4b9e8","resolution":{"observed_at":"2026-07-05T01:40:34.412961Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-07-05T01:40:34.412499Z","title":"An exploration of e-commerce purchases with multiple logistic regres- sion","venue":null,"work_id":"c369ad97-837d-4b0b-8fb6-a883693d454a","year":2025},"citing_paper":{"arxiv_id":"2606.11207","last_updated":"2026-04-23T04:14:44Z","snapshot_observed_at":"2026-08-17T18:55:14.408262Z","submitted_at":"2026-04-23T04:14:44Z","title":"From Explicit Elements to Implicit Intent: A Predefined Library for Auditable Behavioral Inference","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-07-05T01:39:37.116649Z"},"links":{"citing_paper":"/paper/2606.11207"},"observation_digest":"sha256:b0a40a68d8a688e494ee6ecf3a7064038e956235deb1b75cbff7577973da56e2","observation_id":"dfd1bb42-8cec-4096-816c-947f2dbfb8f2","resolution":{"observed_at":"2026-07-05T01:40:34.414496Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/bs13060439","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Exploring the impact of time spent reading product informa- tion on e-commerce websites: A machine learning approach to analyze consumer behavior","venue":"Behavioral Sciences","work_id":"ed331d64-b9d8-4b4a-af9b-d3f9a3d19964","year":2023},"citing_paper":{"arxiv_id":"2606.11207","last_updated":"2026-04-23T04:14:44Z","snapshot_observed_at":"2026-08-17T18:55:14.408262Z","submitted_at":"2026-04-23T04:14:44Z","title":"From Explicit Elements to Implicit Intent: A Predefined Library for Auditable Behavioral Inference","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-07-05T01:39:37.116649Z"},"links":{"citing_paper":"/paper/2606.11207"},"observation_digest":"sha256:bfb9a6bc4f167e08bc0d6b83237d7f13dd1a4b5ebd0fd67cf09961729659762a","observation_id":"6fb4bf2f-7179-4b48-a1f6-b167f786ced4","resolution":{"observed_at":"2026-07-05T01:40:34.332935Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2012.08777","last_updated":"2020-12-16T07:43:44Z","snapshot_observed_at":"2026-08-16T18:58:09.416417Z","submitted_at":"2020-12-16T07:43:44Z","title":"Analyzing and Predicting Purchase Intent in E-commerce: Anonymous vs. Identified Customers","version":1},"cited_work":{"arxiv_id":"2012.08777","doi":"10.48550/arxiv.2012.08777","metadata_source":"arxiv_reference","pith_arxiv_id":"2012.08777","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Analyzing and predicting purchase intent in e-commerce: Anonymous vs","venue":"arXiv (Cornell University)","work_id":"eeccfac6-e57f-4f43-ba03-fedf591214b9","year":2020},"citing_paper":{"arxiv_id":"2606.11207","last_updated":"2026-04-23T04:14:44Z","snapshot_observed_at":"2026-08-17T18:55:14.408262Z","submitted_at":"2026-04-23T04:14:44Z","title":"From Explicit Elements to Implicit Intent: A Predefined Library for Auditable Behavioral Inference","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-07-05T01:39:37.116649Z"},"links":{"cited_paper":"/paper/2012.08777","citing_paper":"/paper/2606.11207"},"observation_digest":"sha256:865456b04c0f1e924161e3194c961833e509dd40e401235ca7aac6377beabeca","observation_id":"fddc69a6-158e-401e-916e-d0ec0868d4c1","resolution":{"observed_at":"2026-07-05T01:40:34.339426Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.5281/zenodo.19575355","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"element_name","venue":"Zenodo (CERN European Organization for Nuclear Research)","work_id":"0e5cb391-899b-4c17-bd02-1ceb0d7520f3","year":2026},"citing_paper":{"arxiv_id":"2606.11207","last_updated":"2026-04-23T04:14:44Z","snapshot_observed_at":"2026-08-17T18:55:14.408262Z","submitted_at":"2026-04-23T04:14:44Z","title":"From Explicit Elements to Implicit Intent: A Predefined Library for Auditable Behavioral Inference","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-07-05T01:39:37.116649Z"},"links":{"citing_paper":"/paper/2606.11207"},"observation_digest":"sha256:466afbac7201ffc25c59d3276dd2c4dde03417f2ea72f0def1c3b0575835d0b2","observation_id":"86badeaa-3bde-4dc4-b763-5e8cc7c07316","resolution":{"observed_at":"2026-07-05T01:40:34.328954Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2606.11207","last_updated":"2026-04-23T04:14:44Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-17T18:55:14.408262Z","submitted_at":"2026-04-23T04:14:44Z","title":"From Explicit Elements to Implicit Intent: A Predefined Library for Auditable Behavioral Inference"},"reference_resolution":{"displayed":15,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":1,"verified_exact":9,"verified_fuzzy":4},"total_outbound_references":15},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2606.11207."}