{"as_of":"2026-08-12T23:31:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e5824ea7c54990b75879af971ed9c113d5eb668d33f498fd150e3d5a56fe1cc4","coverage":[{"denominator":18,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":18,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T22:45:22.969839Z","state":"measured"},{"denominator":21,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":21,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T21:09:19.341086Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":0,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2412.03162","last_updated":"2024-12-05T09:21:16Z","snapshot_observed_at":"2026-08-11T22:40:02.363676Z","submitted_at":"2024-12-04T09:39:56Z","title":"LLM-Mirror: A Generated-Persona Approach for Survey Pre-Testing","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.03162","snapshot_observed_at":"2026-08-10T21:09:19.341086Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.05985","last_updated":"2025-08-19T16:01:10Z","snapshot_observed_at":"2026-08-12T03:57:05.321097Z","submitted_at":"2025-01-10T14:17:48Z","title":"Exploring LLMs for Automated Generation and Adaptation of Questionnaires","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-10T21:09:19.341086Z"},"links":{"cited_paper":"/paper/2412.03162","citing_paper":"/paper/2501.05985"},"observation_digest":"sha256:9d82afb8b30e57ccd79d702995e9531ace15519336dec85ce4cdde1b7a0a3108","observation_id":"17b0ac1c-d281-4b4c-8e91-cf1109da5151","resolution":{"observed_at":"2026-08-10T21:09:19.341086Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.03162","last_updated":"2024-12-05T09:21:16Z","snapshot_observed_at":"2026-08-11T22:40:02.363676Z","submitted_at":"2024-12-04T09:39:56Z","title":"LLM-Mirror: A Generated-Persona Approach for Survey Pre-Testing","version":2},"cited_work":{"arxiv_id":"2412.03162","doi":"10.48550/arxiv.2412.03162","metadata_source":"arxiv_reference","pith_arxiv_id":"2412.03162","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2412.03162 (2024)","venue":"arXiv (Cornell University)","work_id":"efe822f5-83bf-409b-9fd9-2f88f71fbfab","year":2024},"citing_paper":{"arxiv_id":"2604.24079","last_updated":"2026-06-11T02:53:17Z","snapshot_observed_at":"2026-08-11T14:38:35.147861Z","submitted_at":"2026-04-27T06:01:47Z","title":"The Pragmatic Persona: Discovering LLM Persona through Bridging Inference","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-08T04:05:13.050792Z"},"links":{"cited_paper":"/paper/2412.03162","citing_paper":"/paper/2604.24079"},"observation_digest":"sha256:8483bb5d6773937b7ad1f01701e95a2b5b51cd5e217096ce6d4e0fec24560b22","observation_id":"73a382ed-726b-459a-9a90-0907d3e3e2d0","resolution":{"observed_at":"2026-05-09T00:14:27.120451Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.03162","last_updated":"2024-12-05T09:21:16Z","snapshot_observed_at":"2026-08-11T22:40:02.363676Z","submitted_at":"2024-12-04T09:39:56Z","title":"LLM-Mirror: A Generated-Persona Approach for Survey Pre-Testing","version":2},"cited_work":{"arxiv_id":"2412.03162","doi":"10.48550/arxiv.2412.03162","metadata_source":"arxiv_reference","pith_arxiv_id":"2412.03162","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2412.03162 (2024)","venue":"arXiv (Cornell University)","work_id":"efe822f5-83bf-409b-9fd9-2f88f71fbfab","year":2024},"citing_paper":{"arxiv_id":"2606.28963","last_updated":"2026-06-27T15:03:23Z","snapshot_observed_at":"2026-08-04T13:02:29.584768Z","submitted_at":"2026-06-27T15:03:23Z","title":"Beyond the Mean: Three-Axis Fidelity for Aligning LLM-Based Survey Simulators from Small Pilot Data","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-06-30T09:50:32.624340Z"},"links":{"cited_paper":"/paper/2412.03162","citing_paper":"/paper/2606.28963"},"observation_digest":"sha256:e29fadff2768e8639965a7d7b820b6508f7bd91d7e2f66cd60543efb1d13143a","observation_id":"8ca1f67f-ace7-426b-bf75-9f6596ef4171","resolution":{"observed_at":"2026-06-30T09:54:35.014281Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2412.03162/citation-record","integrity":"/paper/2412.03162/integrity","json":"/paper/2412.03162/citation-record.json","paper":"/paper/2412.03162"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:45:22.351572Z","title":"Harvard Business School Marketing Unit Working Paper, No","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.03162","last_updated":"2024-12-05T09:21:16Z","snapshot_observed_at":"2026-08-11T22:40:02.363676Z","submitted_at":"2024-12-04T09:39:56Z","title":"LLM-Mirror: A Generated-Persona Approach for Survey Pre-Testing","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-11T22:45:22.351572Z"},"links":{"citing_paper":"/paper/2412.03162"},"observation_digest":"sha256:f3818ff81fdd673d2735aeee162eb8271d0a22e6b47c83d1284a6407c6e8f588","observation_id":"0dd8b951-474f-47de-a029-7e46ebad762a","resolution":{"observed_at":"2026-08-11T22:45:22.351572Z","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":"10.1509/jmkg.65.2.81.18255","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:45:24.481189Z","title":"Journal of Marketing , 65(2):81 -93","venue":null,"work_id":"b0dc50b1-ddc6-475a-8db1-547de304cbc4","year":null},"citing_paper":{"arxiv_id":"2412.03162","last_updated":"2024-12-05T09:21:16Z","snapshot_observed_at":"2026-08-11T22:40:02.363676Z","submitted_at":"2024-12-04T09:39:56Z","title":"LLM-Mirror: A Generated-Persona Approach for Survey Pre-Testing","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-11T22:45:22.384749Z"},"links":{"citing_paper":"/paper/2412.03162"},"observation_digest":"sha256:6b677cb36178f52bdc70c63d3115643b218ded36a54a5f6b0dbcd9d73e4de1f1","observation_id":"63c6cc5d-49fd-4cbd-8ccc-c30ccee45e0c","resolution":{"observed_at":"2026-08-11T22:45:24.521669Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T22:45:22.584753Z","title":"Marketing Science, 43(4):709-722","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.03162","last_updated":"2024-12-05T09:21:16Z","snapshot_observed_at":"2026-08-11T22:40:02.363676Z","submitted_at":"2024-12-04T09:39:56Z","title":"LLM-Mirror: A Generated-Persona Approach for Survey Pre-Testing","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-11T22:45:22.584753Z"},"links":{"citing_paper":"/paper/2412.03162"},"observation_digest":"sha256:89492e88c0febd003bb12d24c4f1100035cdbb184e1df28157d17ef0d2699469","observation_id":"30d2c417-040d-4119-80ad-d430760250e4","resolution":{"observed_at":"2026-08-11T22:45:22.584753Z","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":"2026-08-11T22:45:22.704747Z","title":"arXiv:2301.07543","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.03162","last_updated":"2024-12-05T09:21:16Z","snapshot_observed_at":"2026-08-11T22:40:02.363676Z","submitted_at":"2024-12-04T09:39:56Z","title":"LLM-Mirror: A Generated-Persona Approach for Survey Pre-Testing","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-11T22:45:22.704747Z"},"links":{"citing_paper":"/paper/2412.03162"},"observation_digest":"sha256:458d440fbfc25859138c20ed648aefe86029985ddbdbb3bb70eee99b7f653254","observation_id":"acfc7cb3-c050-421e-85a8-f39421a508fe","resolution":{"observed_at":"2026-08-11T22:45:22.704747Z","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.tele.2018.04.008","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:45:23.514748Z","title":"Telematics and Informatics , 35(6):1607 -1616","venue":null,"work_id":"88f04bd4-8ac3-4d4b-b950-6f1fb73495b1","year":2018},"citing_paper":{"arxiv_id":"2412.03162","last_updated":"2024-12-05T09:21:16Z","snapshot_observed_at":"2026-08-11T22:40:02.363676Z","submitted_at":"2024-12-04T09:39:56Z","title":"LLM-Mirror: A Generated-Persona Approach for Survey Pre-Testing","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-11T22:45:22.815829Z"},"links":{"citing_paper":"/paper/2412.03162"},"observation_digest":"sha256:f86c09f58add3076ef4a816d2be07d9ad50d141224ba408068df20345698b1b8","observation_id":"a331d257-677f-4a8a-b6c9-acc9eb4a1bd4","resolution":{"observed_at":"2026-08-11T22:45:23.564748Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T22:45:22.854876Z","title":"Transactions of the Association for Computational Linguistics, 12:1011-1026","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.03162","last_updated":"2024-12-05T09:21:16Z","snapshot_observed_at":"2026-08-11T22:40:02.363676Z","submitted_at":"2024-12-04T09:39:56Z","title":"LLM-Mirror: A Generated-Persona Approach for Survey Pre-Testing","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-11T22:45:22.854876Z"},"links":{"citing_paper":"/paper/2412.03162"},"observation_digest":"sha256:adf44dd305b40a7460776c5eb69c795b93c7a5ff22e13f940981c56361da7f3c","observation_id":"6b93a1bc-7e17-4dec-8252-69da276d8454","resolution":{"observed_at":"2026-08-11T22:45:22.854876Z","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":"10.2139/ssrn.4983334","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:45:23.194743Z","title":"The Wharton School Research Paper","venue":null,"work_id":"3c6a0f24-f480-47a9-b3fc-864e8ad6622b","year":null},"citing_paper":{"arxiv_id":"2412.03162","last_updated":"2024-12-05T09:21:16Z","snapshot_observed_at":"2026-08-11T22:40:02.363676Z","submitted_at":"2024-12-04T09:39:56Z","title":"LLM-Mirror: A Generated-Persona Approach for Survey Pre-Testing","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-11T22:45:22.924631Z"},"links":{"citing_paper":"/paper/2412.03162"},"observation_digest":"sha256:3553a7b4392b63fae6c4455e15743687b6a24992ef4fa28916fef34ae76f3c3c","observation_id":"27983806-f394-4c78-b99b-8406e0c5ac1e","resolution":{"observed_at":"2026-08-11T22:45:23.215807Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.01230","last_updated":"2024-04-01T16:50:54Z","snapshot_observed_at":"2026-08-07T22:32:40.077692Z","submitted_at":"2024-04-01T16:50:54Z","title":"LLM as a Mastermind: A Survey of Strategic Reasoning with Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.01230","snapshot_observed_at":"2026-08-11T22:45:22.969839Z","title":"arXiv:2404.01230","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2412.03162","last_updated":"2024-12-05T09:21:16Z","snapshot_observed_at":"2026-08-11T22:40:02.363676Z","submitted_at":"2024-12-04T09:39:56Z","title":"LLM-Mirror: A Generated-Persona Approach for Survey Pre-Testing","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-11T22:45:22.969839Z"},"links":{"cited_paper":"/paper/2404.01230","citing_paper":"/paper/2412.03162"},"observation_digest":"sha256:c3d611f9803bf945170260c968476f0fbce89217b0a856099859116271f498ba","observation_id":"515c3bca-fe38-449c-b995-6795fb61e28e","resolution":{"observed_at":"2026-08-11T22:45:22.969839Z","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":"2026-08-11T22:45:22.879028Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.03162","last_updated":"2024-12-05T09:21:16Z","snapshot_observed_at":"2026-08-11T22:40:02.363676Z","submitted_at":"2024-12-04T09:39:56Z","title":"LLM-Mirror: A Generated-Persona Approach for Survey Pre-Testing","version":2},"reference_index":178,"source":"pdf_text","source_observed_at":"2026-08-11T22:45:22.879028Z"},"links":{"citing_paper":"/paper/2412.03162"},"observation_digest":"sha256:57a51940fda02be68c9a8d19b9f8c2855e88430f686fa26fa2e173acda2de476","observation_id":"96460a15-391d-4920-83c0-0153422c71c6","resolution":{"observed_at":"2026-08-11T22:45:22.879028Z","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":"2026-08-11T22:45:22.794756Z","title":"IEEE Transactions on Information Theory , 37(1):145 -151","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.03162","last_updated":"2024-12-05T09:21:16Z","snapshot_observed_at":"2026-08-11T22:40:02.363676Z","submitted_at":"2024-12-04T09:39:56Z","title":"LLM-Mirror: A Generated-Persona Approach for Survey Pre-Testing","version":2},"reference_index":1991,"source":"pdf_text","source_observed_at":"2026-08-11T22:45:22.794756Z"},"links":{"citing_paper":"/paper/2412.03162"},"observation_digest":"sha256:dcc3d666f797d848e6726fc62e2b4e0fdacd0590727584373322bd86a8437cfc","observation_id":"27a50588-8d4d-476e-8247-dcbf3ab20e0a","resolution":{"observed_at":"2026-08-11T22:45:22.794756Z","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":"2026-08-11T22:45:22.324745Z","title":"MIS Quarterly , 25(3):351-370","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.03162","last_updated":"2024-12-05T09:21:16Z","snapshot_observed_at":"2026-08-11T22:40:02.363676Z","submitted_at":"2024-12-04T09:39:56Z","title":"LLM-Mirror: A Generated-Persona Approach for Survey Pre-Testing","version":2},"reference_index":2001,"source":"pdf_text","source_observed_at":"2026-08-11T22:45:22.324745Z"},"links":{"citing_paper":"/paper/2412.03162"},"observation_digest":"sha256:1a73056c2908165434e3009b71dc6916de61f596736a6976455a0d5f9f099cb2","observation_id":"2813ac95-2ae1-4487-8e7d-0e2cce7dfbe9","resolution":{"observed_at":"2026-08-11T22:45:22.324745Z","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":"10.1093/poq/nfl033","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:45:24.038583Z","title":"Public Opinion Quarterly , 70(5): 646 -675","venue":null,"work_id":"1a751e7e-bf8c-4396-94c6-ff5b0e458177","year":null},"citing_paper":{"arxiv_id":"2412.03162","last_updated":"2024-12-05T09:21:16Z","snapshot_observed_at":"2026-08-11T22:40:02.363676Z","submitted_at":"2024-12-04T09:39:56Z","title":"LLM-Mirror: A Generated-Persona Approach for Survey Pre-Testing","version":2},"reference_index":2006,"source":"pdf_text","source_observed_at":"2026-08-11T22:45:22.639902Z"},"links":{"citing_paper":"/paper/2412.03162"},"observation_digest":"sha256:1d7b2e95a9200eca3eb9173300a6936fac1b04f0fb342988200dd896af3fee35","observation_id":"58c2893f-aed1-4381-a05c-16c63795e4ff","resolution":{"observed_at":"2026-08-11T22:45:24.043162Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.2307/25750708","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:45:24.344747Z","title":"MIS Quar- terly, 34(4):855-870","venue":null,"work_id":"0b323ec4-2eb6-47ad-a952-e08aad69fdfd","year":null},"citing_paper":{"arxiv_id":"2412.03162","last_updated":"2024-12-05T09:21:16Z","snapshot_observed_at":"2026-08-11T22:40:02.363676Z","submitted_at":"2024-12-04T09:39:56Z","title":"LLM-Mirror: A Generated-Persona Approach for Survey Pre-Testing","version":2},"reference_index":2010,"source":"pdf_text","source_observed_at":"2026-08-11T22:45:22.434745Z"},"links":{"citing_paper":"/paper/2412.03162"},"observation_digest":"sha256:361a2cce48eafba782700754f8d118e54bbec5ba703cb5444c436e452c8ea130","observation_id":"84e6d128-b3b7-4f19-8f05-a4ea28bf2449","resolution":{"observed_at":"2026-08-11T22:45:24.374752Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T22:45:22.664748Z","title":"Computers in Human Behavior , 54:170 -179","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2412.03162","last_updated":"2024-12-05T09:21:16Z","snapshot_observed_at":"2026-08-11T22:40:02.363676Z","submitted_at":"2024-12-04T09:39:56Z","title":"LLM-Mirror: A Generated-Persona Approach for Survey Pre-Testing","version":2},"reference_index":2016,"source":"pdf_text","source_observed_at":"2026-08-11T22:45:22.664748Z"},"links":{"citing_paper":"/paper/2412.03162"},"observation_digest":"sha256:0a1bc302d2680c5eeaa558a7cdc25804e375988427449aa79fc0737b9ead4ec6","observation_id":"cc1d1a4d-a04e-4552-bcc6-b1a8f0799f26","resolution":{"observed_at":"2026-08-11T22:45:22.664748Z","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":"10.1007/s11747-017-0532-y","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:45:23.744744Z","title":"Journal of the Academy of Marketing Sci- ence, 46: 92-108","venue":null,"work_id":"b8cb688f-9744-418f-bd2d-0122fbed143f","year":null},"citing_paper":{"arxiv_id":"2412.03162","last_updated":"2024-12-05T09:21:16Z","snapshot_observed_at":"2026-08-11T22:40:02.363676Z","submitted_at":"2024-12-04T09:39:56Z","title":"LLM-Mirror: A Generated-Persona Approach for Survey Pre-Testing","version":2},"reference_index":2018,"source":"pdf_text","source_observed_at":"2026-08-11T22:45:22.736689Z"},"links":{"citing_paper":"/paper/2412.03162"},"observation_digest":"sha256:072bf6f4b8999e3fd94133206a6e8905e6d1074532cb5bff29e8f310a09836e9","observation_id":"efa5b979-b685-4fc0-9b53-b2fd5cbe4cf8","resolution":{"observed_at":"2026-08-11T22:45:23.794754Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T22:45:22.486497Z","title":"Journal of Marketing Analytics, 10:3-18","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.03162","last_updated":"2024-12-05T09:21:16Z","snapshot_observed_at":"2026-08-11T22:40:02.363676Z","submitted_at":"2024-12-04T09:39:56Z","title":"LLM-Mirror: A Generated-Persona Approach for Survey Pre-Testing","version":2},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-11T22:45:22.486497Z"},"links":{"citing_paper":"/paper/2412.03162"},"observation_digest":"sha256:34aeae378c1fc78f16460c66041d00f3ce93c570fca04780cf7996e1ebca1509","observation_id":"51a41790-c1e8-4fd2-a819-5cb91504075f","resolution":{"observed_at":"2026-08-11T22:45:22.486497Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-11T22:45:22.254741Z","title":"Political Analysis , 31(3):337 -351","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.03162","last_updated":"2024-12-05T09:21:16Z","snapshot_observed_at":"2026-08-11T22:40:02.363676Z","submitted_at":"2024-12-04T09:39:56Z","title":"LLM-Mirror: A Generated-Persona Approach for Survey Pre-Testing","version":2},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-11T22:45:22.254741Z"},"links":{"citing_paper":"/paper/2412.03162"},"observation_digest":"sha256:edc5498115f82a86052f83554f67c13bc6185bc32a0fa0b3549dce2a4f6d37ef","observation_id":"705a252b-7e85-4fb1-b021-bf6945e02b75","resolution":{"observed_at":"2026-08-11T22:45:22.254741Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.19599","last_updated":"2025-01-23T17:05:40Z","snapshot_observed_at":"2026-08-12T22:15:04.818357Z","submitted_at":"2024-10-25T14:46:07Z","title":"Take Caution in Using LLMs as Human Surrogates: Scylla Ex Machina","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.19599","snapshot_observed_at":"2026-08-11T22:45:22.534747Z","title":"arXiv:2410.19599","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.03162","last_updated":"2024-12-05T09:21:16Z","snapshot_observed_at":"2026-08-11T22:40:02.363676Z","submitted_at":"2024-12-04T09:39:56Z","title":"LLM-Mirror: A Generated-Persona Approach for Survey Pre-Testing","version":2},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-11T22:45:22.534747Z"},"links":{"cited_paper":"/paper/2410.19599","citing_paper":"/paper/2412.03162"},"observation_digest":"sha256:79a1547b386258c367c2c7c4efa9b5838ce03cd0d87f7cc05bac5d856db48eb8","observation_id":"e4c2f1c5-b067-4286-b410-f7fd4da76180","resolution":{"observed_at":"2026-08-11T22:45:22.534747Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2412.03162","last_updated":"2024-12-05T09:21:16Z","latest_version":2,"primary_category":"cs.CY","snapshot_observed_at":"2026-08-11T22:40:02.363676Z","submitted_at":"2024-12-04T09:39:56Z","title":"LLM-Mirror: A Generated-Persona Approach for Survey Pre-Testing"},"reference_resolution":{"displayed":18,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":11,"verified_exact":6,"verified_fuzzy":0},"total_outbound_references":18},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 3 inbound Pith citation observations for arXiv:2412.03162."}