{"as_of":"2026-08-10T13:22:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:51599d8c0d4a73c4aa7791c836c3ae4b0d5b6ed33e84e6acca7e377f75818c80","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":"2026-08-09T13:29:21.002737Z","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":"2026-08-10T06:31:04.303077+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/2502.02074/citation-record","integrity":"/paper/2502.02074/integrity","json":"/paper/2502.02074/citation-record.json","paper":"/paper/2502.02074"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2403.00236","last_updated":"2024-03-01T02:33:26Z","snapshot_observed_at":"2026-07-06T17:37:52.514730Z","submitted_at":"2024-03-01T02:33:26Z","title":"Benchmarking zero-shot stance detection with FlanT5-XXL: Insights from training data, prompting, and decoding strategies into its near-SoTA performance","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.00236","snapshot_observed_at":"2026-08-09T13:29:20.929756Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.02074","last_updated":"2025-02-04T07:52:20Z","snapshot_observed_at":"2026-08-10T12:31:51.477952Z","submitted_at":"2025-02-04T07:52:20Z","title":"Rethinking stance detection: A theoretically-informed research agenda for user-level inference using language models","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-09T13:29:20.929756Z"},"links":{"cited_paper":"/paper/2403.00236","citing_paper":"/paper/2502.02074"},"observation_digest":"sha256:56017846eb92663fb6b852729212e7c07fba78ae9a4ac6a83144549a11f69a71","observation_id":"b1aa4cae-f201-4f9c-87bc-f92a36553a7b","resolution":{"observed_at":"2026-08-09T13:29:20.929756Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.13840","last_updated":"2024-03-15T04:02:24Z","snapshot_observed_at":"2026-08-05T19:01:39.248820Z","submitted_at":"2024-03-15T04:02:24Z","title":"Whose Side Are You On? Investigating the Political Stance of Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.13840","snapshot_observed_at":"2026-08-09T13:29:20.957017Z","title":"122-132)","venue":null,"work_id":null,"year":1996},"citing_paper":{"arxiv_id":"2502.02074","last_updated":"2025-02-04T07:52:20Z","snapshot_observed_at":"2026-08-10T12:31:51.477952Z","submitted_at":"2025-02-04T07:52:20Z","title":"Rethinking stance detection: A theoretically-informed research agenda for user-level inference using language models","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-09T13:29:20.957017Z"},"links":{"cited_paper":"/paper/2403.13840","citing_paper":"/paper/2502.02074"},"observation_digest":"sha256:48bff3eb04af305b65e5238de4304c2c2093e02b8fbbd792555ae8dc166c5324","observation_id":"560c1295-14ea-4e0b-82ca-f3a4433ddb66","resolution":{"observed_at":"2026-08-09T13:29:20.957017Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.01789","last_updated":"2024-06-02T04:48:36Z","snapshot_observed_at":"2026-08-10T12:30:41.830901Z","submitted_at":"2024-02-02T02:43:10Z","title":"The Political Preferences of LLMs","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.01789","snapshot_observed_at":"2026-08-09T13:29:20.962575Z","title":"9245-9260)","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2502.02074","last_updated":"2025-02-04T07:52:20Z","snapshot_observed_at":"2026-08-10T12:31:51.477952Z","submitted_at":"2025-02-04T07:52:20Z","title":"Rethinking stance detection: A theoretically-informed research agenda for user-level inference using language models","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-09T13:29:20.962575Z"},"links":{"cited_paper":"/paper/2402.01789","citing_paper":"/paper/2502.02074"},"observation_digest":"sha256:5e7310a2dcac7ca6c966a7d770931fcca4d6c92887d187076772f08ec2cc1706","observation_id":"b34b5b85-e051-411c-b524-0981b9a6a4e9","resolution":{"observed_at":"2026-08-09T13:29:20.962575Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.16054","last_updated":"2025-07-17T08:13:07Z","snapshot_observed_at":"2026-07-06T17:08:08.775293Z","submitted_at":"2023-12-26T13:54:00Z","title":"A Logically Consistent Chain-of-Thought Approach for Stance Detection","version":2},"cited_work":{"arxiv_id":"2312.16054","doi":null,"metadata_source":"pith","pith_arxiv_id":"2312.16054","snapshot_observed_at":"2026-08-09T13:29:21.056404Z","title":"A Logically Consistent Chain-of-Thought Approach for Stance Detection","venue":"cs.CL","work_id":"70bae0dd-3f1d-4dbf-aa2a-584405e50f2e","year":2023},"citing_paper":{"arxiv_id":"2502.02074","last_updated":"2025-02-04T07:52:20Z","snapshot_observed_at":"2026-08-10T12:31:51.477952Z","submitted_at":"2025-02-04T07:52:20Z","title":"Rethinking stance detection: A theoretically-informed research agenda for user-level inference using language models","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-09T13:29:20.977743Z"},"links":{"cited_paper":"/paper/2312.16054","citing_paper":"/paper/2502.02074"},"observation_digest":"sha256:bde2fdaa643da81d2db7c19008dec3ac796b01711b729c7884bce34f93b18232","observation_id":"76a1d59f-70c2-4959-9c46-ebb08f19ffcc","resolution":{"observed_at":"2026-08-09T13:29:21.063221Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.07447","last_updated":"2024-10-14T01:27:19Z","snapshot_observed_at":"2026-08-10T11:08:50.642778Z","submitted_at":"2024-05-13T03:12:13Z","title":"From traces to measures: Large language models as a tool for psychological measurement from text","version":2},"cited_work":{"arxiv_id":"2405.07447","doi":null,"metadata_source":"pith","pith_arxiv_id":"2405.07447","snapshot_observed_at":"2026-08-09T13:29:21.095792Z","title":"From traces to measures: Large language models as a tool for psychological measurement from text","venue":"cs.HC","work_id":"5ffc1048-3cc9-459d-9910-b3773094a533","year":2024},"citing_paper":{"arxiv_id":"2502.02074","last_updated":"2025-02-04T07:52:20Z","snapshot_observed_at":"2026-08-10T12:31:51.477952Z","submitted_at":"2025-02-04T07:52:20Z","title":"Rethinking stance detection: A theoretically-informed research agenda for user-level inference using language models","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-09T13:29:20.967222Z"},"links":{"cited_paper":"/paper/2405.07447","citing_paper":"/paper/2502.02074"},"observation_digest":"sha256:301d1c72d691aa60c88004df70ef1c9ce5a75675878ab6417faa75db6bfb913b","observation_id":"8589fd60-bd5d-4428-a638-4deadc400f91","resolution":{"observed_at":"2026-08-09T13:29:21.100841Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T13:29:21.248527Z","title":null,"venue":null,"work_id":"55033dc7-7d67-402e-a641-a21596d2a55c","year":2023},"citing_paper":{"arxiv_id":"2502.02074","last_updated":"2025-02-04T07:52:20Z","snapshot_observed_at":"2026-08-10T12:31:51.477952Z","submitted_at":"2025-02-04T07:52:20Z","title":"Rethinking stance detection: A theoretically-informed research agenda for user-level inference using language models","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-09T13:29:20.996738Z"},"links":{"citing_paper":"/paper/2502.02074"},"observation_digest":"sha256:6a1c0df85ab55a593936c45f85da58580ecf220dace13f59f416cc6c386a7924","observation_id":"37b79091-4e35-454a-9d04-5afd218840f9","resolution":{"observed_at":"2026-08-09T13:29:21.253522Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T13:29:21.233147Z","title":"IEEE Transactions on Computational Social Systems Zhang et al","venue":null,"work_id":"9c25d1c6-0cc6-492d-849d-60a8e698c616","year":2024},"citing_paper":{"arxiv_id":"2502.02074","last_updated":"2025-02-04T07:52:20Z","snapshot_observed_at":"2026-08-10T12:31:51.477952Z","submitted_at":"2025-02-04T07:52:20Z","title":"Rethinking stance detection: A theoretically-informed research agenda for user-level inference using language models","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-09T13:29:21.002737Z"},"links":{"citing_paper":"/paper/2502.02074"},"observation_digest":"sha256:8ae53d948241082ddd43d3b67057961bf77a4dd129b22f5205c170457c557c33","observation_id":"8db2b485-5365-4a7a-862b-6929b2f0afdc","resolution":{"observed_at":"2026-08-09T13:29:21.237674Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T13:29:21.278837Z","title":"By stance we mean the lexical and grammatical expression of attitudes, feelings, judgments, or commitment concerning the propositional content of a message","venue":null,"work_id":"9a190ad5-ed5d-47ef-96dd-3172523da168","year":2020},"citing_paper":{"arxiv_id":"2502.02074","last_updated":"2025-02-04T07:52:20Z","snapshot_observed_at":"2026-08-10T12:31:51.477952Z","submitted_at":"2025-02-04T07:52:20Z","title":"Rethinking stance detection: A theoretically-informed research agenda for user-level inference using language models","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-09T13:29:20.987268Z"},"links":{"citing_paper":"/paper/2502.02074"},"observation_digest":"sha256:2a2852a7ee24dd73016072ed293bab296c0173707fb57f84176f66ff2896a2ad","observation_id":"3833022d-fa0f-4fdb-8f92-08c85f1e2124","resolution":{"observed_at":"2026-08-09T13:29:21.283757Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.12171","last_updated":"2024-04-18T13:25:29Z","snapshot_observed_at":"2026-08-03T10:37:25.345517Z","submitted_at":"2024-04-18T13:25:29Z","title":"Stance Detection on Social Media with Fine-Tuned Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.12171","snapshot_observed_at":"2026-08-09T13:29:20.946328Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.02074","last_updated":"2025-02-04T07:52:20Z","snapshot_observed_at":"2026-08-10T12:31:51.477952Z","submitted_at":"2025-02-04T07:52:20Z","title":"Rethinking stance detection: A theoretically-informed research agenda for user-level inference using language models","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-09T13:29:20.946328Z"},"links":{"cited_paper":"/paper/2404.12171","citing_paper":"/paper/2502.02074"},"observation_digest":"sha256:ef0a5b1cc4e9a88f6bdba5a0a5b9287ed4ca8317e4996af897669a2d5f274068","observation_id":"2e2d19da-839a-4ec9-9b95-6a8427bbe8bf","resolution":{"observed_at":"2026-08-09T13:29:20.946328Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.06549","last_updated":"2024-02-09T17:02:41Z","snapshot_observed_at":"2026-07-06T17:28:06.332906Z","submitted_at":"2024-02-09T17:02:41Z","title":"Bryndza at ClimateActivism 2024: Stance, Target and Hate Event Detection via Retrieval-Augmented GPT-4 and LLaMA","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.06549","snapshot_observed_at":"2026-08-09T13:29:20.972793Z","title":"Against Naturalised Epistemology","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.02074","last_updated":"2025-02-04T07:52:20Z","snapshot_observed_at":"2026-08-10T12:31:51.477952Z","submitted_at":"2025-02-04T07:52:20Z","title":"Rethinking stance detection: A theoretically-informed research agenda for user-level inference using language models","version":1},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-09T13:29:20.972793Z"},"links":{"cited_paper":"/paper/2402.06549","citing_paper":"/paper/2502.02074"},"observation_digest":"sha256:9f0a68d54b927757c3fee169710ad5e63d97be2feeacfe7e8a370ff37a6a1353","observation_id":"d8c33e50-0490-4923-b9d4-b11c63dc68f3","resolution":{"observed_at":"2026-08-09T13:29:20.972793Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2204.10710","last_updated":"2022-04-22T14:00:11Z","snapshot_observed_at":"2026-07-06T13:02:52.720525Z","submitted_at":"2022-04-22T14:00:11Z","title":"Tweets2Stance: Users stance detection exploiting Zero-Shot Learning Algorithms on Tweets","version":1},"cited_work":{"arxiv_id":"2204.10710","doi":null,"metadata_source":"pith","pith_arxiv_id":"2204.10710","snapshot_observed_at":"2026-08-09T13:29:21.182116Z","title":"Tweets2Stance: Users stance detection exploiting Zero-Shot Learning Algorithms on Tweets","venue":"cs.SI","work_id":"eed1f63a-a06f-49ca-bb77-7df271ddb48c","year":2022},"citing_paper":{"arxiv_id":"2502.02074","last_updated":"2025-02-04T07:52:20Z","snapshot_observed_at":"2026-08-10T12:31:51.477952Z","submitted_at":"2025-02-04T07:52:20Z","title":"Rethinking stance detection: A theoretically-informed research agenda for user-level inference using language models","version":1},"reference_index":1663,"source":"pdf_text","source_observed_at":"2026-08-09T13:29:20.941130Z"},"links":{"cited_paper":"/paper/2204.10710","citing_paper":"/paper/2502.02074"},"observation_digest":"sha256:3ca8621da565755442b9deb0c84b6679d8a39b1c3790c4f5eeff75ef17c8d0ed","observation_id":"08137d4c-13fc-41fa-ac31-bcd9a1d83830","resolution":{"observed_at":"2026-08-09T13:29:21.187344Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T13:29:21.264150Z","title":"…a person’s expression of their relationship to their interlocutors (their interpersonal stance—e.g., friendly or dominating)","venue":null,"work_id":"9aa818cc-7ddf-4a86-80d1-20c9232543cb","year":2014},"citing_paper":{"arxiv_id":"2502.02074","last_updated":"2025-02-04T07:52:20Z","snapshot_observed_at":"2026-08-10T12:31:51.477952Z","submitted_at":"2025-02-04T07:52:20Z","title":"Rethinking stance detection: A theoretically-informed research agenda for user-level inference using language models","version":1},"reference_index":2004,"source":"pdf_text","source_observed_at":"2026-08-09T13:29:20.991966Z"},"links":{"citing_paper":"/paper/2502.02074"},"observation_digest":"sha256:4353d2ecc6039751a5712d50c0576d69bedb43a35d4a8ff97ac392ab84ed1a2b","observation_id":"b0c992eb-e3f5-41f2-872b-4bf896d18070","resolution":{"observed_at":"2026-08-09T13:29:21.269000Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.18223","last_updated":"2026-03-18T05:34:39Z","snapshot_observed_at":"2026-08-06T23:27:24.356320Z","submitted_at":"2023-03-31T17:28:46Z","title":"A Survey of Large Language Models","version":19},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.18223","snapshot_observed_at":"2026-08-09T13:29:20.982491Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.02074","last_updated":"2025-02-04T07:52:20Z","snapshot_observed_at":"2026-08-10T12:31:51.477952Z","submitted_at":"2025-02-04T07:52:20Z","title":"Rethinking stance detection: A theoretically-informed research agenda for user-level inference using language models","version":1},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-09T13:29:20.982491Z"},"links":{"cited_paper":"/paper/2303.18223","citing_paper":"/paper/2502.02074"},"observation_digest":"sha256:819535f7013f27ee969465be8fb8f8ede4de6be3b837a02af17bc0eab0674894","observation_id":"55a1b5ab-fe63-4f16-bd27-29fe5d459df5","resolution":{"observed_at":"2026-08-09T13:29:20.982491Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.14395","last_updated":"2024-09-22T11:21:16Z","snapshot_observed_at":"2026-07-06T19:19:24.759288Z","submitted_at":"2024-09-22T11:21:16Z","title":"Predicting User Stances from Target-Agnostic Information using Large Language Models","version":1},"cited_work":{"arxiv_id":"2409.14395","doi":null,"metadata_source":"pith","pith_arxiv_id":"2409.14395","snapshot_observed_at":"2026-08-09T13:29:21.145929Z","title":"Predicting User Stances from Target-Agnostic Information using Large Language Models","venue":"cs.CL","work_id":"327878d1-6a1c-4e3c-b986-92cb67d79ef5","year":2024},"citing_paper":{"arxiv_id":"2502.02074","last_updated":"2025-02-04T07:52:20Z","snapshot_observed_at":"2026-08-10T12:31:51.477952Z","submitted_at":"2025-02-04T07:52:20Z","title":"Rethinking stance detection: A theoretically-informed research agenda for user-level inference using language models","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-09T13:29:20.951523Z"},"links":{"cited_paper":"/paper/2409.14395","citing_paper":"/paper/2502.02074"},"observation_digest":"sha256:13b3b510087a80dfba7ca84c8395f0c40007a800a5fba5cfe13f31632b5ab703","observation_id":"91fc497a-48e2-46f4-a220-28dcad9cc02f","resolution":{"observed_at":"2026-08-09T13:29:21.150991Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.04143","last_updated":"2024-06-06T15:08:16Z","snapshot_observed_at":"2026-07-06T18:26:33.307840Z","submitted_at":"2024-06-06T15:08:16Z","title":"Do Language Models Understand Morality? Towards a Robust Detection of Moral Content","version":1},"cited_work":{"arxiv_id":"2406.04143","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.04143","snapshot_observed_at":"2026-08-09T13:29:21.203280Z","title":"Do Language Models Understand Morality? Towards a Robust Detection of Moral Content","venue":"cs.CL","work_id":"9829b329-deca-4447-af28-b2ece9a8eb85","year":2024},"citing_paper":{"arxiv_id":"2502.02074","last_updated":"2025-02-04T07:52:20Z","snapshot_observed_at":"2026-08-10T12:31:51.477952Z","submitted_at":"2025-02-04T07:52:20Z","title":"Rethinking stance detection: A theoretically-informed research agenda for user-level inference using language models","version":1},"reference_index":2332,"source":"pdf_text","source_observed_at":"2026-08-09T13:29:20.935187Z"},"links":{"cited_paper":"/paper/2406.04143","citing_paper":"/paper/2502.02074"},"observation_digest":"sha256:e2470d7bc8fd8d69fde926f03a95f1218e23870ee85c4cb4c33e289f0aa69c94","observation_id":"7e1f9f73-2f77-4710-bae6-ac9adff43c81","resolution":{"observed_at":"2026-08-09T13:29:21.208035Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2502.02074","last_updated":"2025-02-04T07:52:20Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-10T12:31:51.477952Z","submitted_at":"2025-02-04T07:52:20Z","title":"Rethinking stance detection: A theoretically-informed research agenda for user-level inference using language models"},"reference_resolution":{"displayed":15,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":7,"verified_exact":5,"verified_fuzzy":3},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2502.02074."}