{"as_of":"2026-08-19T21:10:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3574fd57cadd2b36cb96472ae9dca5aaca5b0443196efaf725720209ce6b784c","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":8,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":8,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+00:00","state":"measured"},{"denominator":8,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":8,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T15:55:23.371198Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"pith","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":2,"observed_at":"2026-08-05T02:28:24.338817Z","source":"pith"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.03009","last_updated":"2024-06-05T07:16:51Z","snapshot_observed_at":"2026-08-16T13:46:00.075410Z","submitted_at":"2024-06-05T07:16:51Z","title":"Unveiling Selection Biases: Exploring Order and Token Sensitivity in Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.03009","snapshot_observed_at":"2026-08-11T15:55:23.371198Z","title":"Unveiling selection biases: Exploring order and token sensitivity in large language models, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.10558","last_updated":"2024-12-13T21:03:10Z","snapshot_observed_at":"2026-08-17T23:33:40.123461Z","submitted_at":"2024-12-13T21:03:10Z","title":"Too Big to Fool: Resisting Deception in Language Models","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-11T15:55:23.371198Z"},"links":{"cited_paper":"/paper/2406.03009","citing_paper":"/paper/2412.10558"},"observation_digest":"sha256:9c0378ad4f337969695db3fab8c340e90ba2376a827fb19c6b51a1cfea60bdc2","observation_id":"b2e15f4b-7bb5-4d88-bb45-fbd282e170bb","resolution":{"observed_at":"2026-08-11T15:55:23.371198Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.03009","last_updated":"2024-06-05T07:16:51Z","snapshot_observed_at":"2026-08-16T13:46:00.075410Z","submitted_at":"2024-06-05T07:16:51Z","title":"Unveiling Selection Biases: Exploring Order and Token Sensitivity in Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.03009","snapshot_observed_at":"2026-08-08T16:11:43.241022Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.08662","last_updated":"2025-06-02T04:54:00Z","snapshot_observed_at":"2026-08-18T21:37:50.629904Z","submitted_at":"2025-02-10T09:34:15Z","title":"RoToR: Towards More Reliable Responses for Order-Invariant Inputs","version":3},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-08T16:11:43.241022Z"},"links":{"cited_paper":"/paper/2406.03009","citing_paper":"/paper/2502.08662"},"observation_digest":"sha256:75a3794a613a07588e26c1156057a0c681b2d6e27354ec6ca0835c6ce10e6a97","observation_id":"e6cc40c6-2a0f-4678-818b-98a9e35f26ba","resolution":{"observed_at":"2026-08-08T16:11:43.241022Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.03009","last_updated":"2024-06-05T07:16:51Z","snapshot_observed_at":"2026-08-16T13:46:00.075410Z","submitted_at":"2024-06-05T07:16:51Z","title":"Unveiling Selection Biases: Exploring Order and Token Sensitivity in Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.03009","snapshot_observed_at":"2026-08-07T12:05:35.814703Z","title":"Unveiling selection biases: Exploring order and token sensitivity in large language models","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.00612","last_updated":"2025-07-03T16:50:12Z","snapshot_observed_at":"2026-08-15T10:54:16.886787Z","submitted_at":"2025-05-31T15:51:09Z","title":"Enhancing Clinical Multiple-Choice Questions Benchmarks with Knowledge Graph Guided Distractor Generation","version":3},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T12:05:35.814703Z"},"links":{"cited_paper":"/paper/2406.03009","citing_paper":"/paper/2506.00612"},"observation_digest":"sha256:558a6cc82f40ee5455b2b8d7671c0cf8b17107582691aec25ac668b3484c6487","observation_id":"826c63b1-2466-44ca-a6c7-0aaabfa18f05","resolution":{"observed_at":"2026-08-07T12:05:35.814703Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.03009","last_updated":"2024-06-05T07:16:51Z","snapshot_observed_at":"2026-08-16T13:46:00.075410Z","submitted_at":"2024-06-05T07:16:51Z","title":"Unveiling Selection Biases: Exploring Order and Token Sensitivity in Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.03009","snapshot_observed_at":"2026-07-15T13:17:48.274611Z","title":"Unveiling selection biases: Exploring order and token sensitivity in large language models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2603.10044","last_updated":"2026-06-03T17:59:34Z","snapshot_observed_at":"2026-08-09T19:58:48.854898Z","submitted_at":"2026-03-08T01:37:45Z","title":"Safety Under Scaffolding: How Evaluation Conditions Shape Measured Safety","version":2},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-07-15T13:17:48.274611Z"},"links":{"cited_paper":"/paper/2406.03009","citing_paper":"/paper/2603.10044"},"observation_digest":"sha256:7170e8cfc9c0a68adc60871d7c30cc2f7409368f639a4359a2894465ae52496b","observation_id":"5ea6a755-65d2-4d0e-925b-25980217d2d3","resolution":{"observed_at":"2026-07-15T13:17:48.274611Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.03009","last_updated":"2024-06-05T07:16:51Z","snapshot_observed_at":"2026-08-16T13:46:00.075410Z","submitted_at":"2024-06-05T07:16:51Z","title":"Unveiling Selection Biases: Exploring Order and Token Sensitivity in Large Language Models","version":1},"cited_work":{"arxiv_id":"2406.03009","doi":"10.48550/arxiv.2406.03009","metadata_source":"pith","pith_arxiv_id":"2406.03009","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2406.03009 , year=","venue":"cs.CL","work_id":"64649f87-b577-455b-9300-5dfe149fbe3e","year":2024},"citing_paper":{"arxiv_id":"2605.01846","last_updated":"2026-05-03T12:29:41Z","snapshot_observed_at":"2026-08-02T16:04:49.513692Z","submitted_at":"2026-05-03T12:29:41Z","title":"Do Large Language Models Plan Answer Positions? Position Bias in Multiple-Choice Question Generation","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-05-09T17:23:50.486306Z"},"links":{"cited_paper":"/paper/2406.03009","citing_paper":"/paper/2605.01846"},"observation_digest":"sha256:8733ca86860d49e2827acac9e3d811aa902e4928cd9377f208f1685e42024d99","observation_id":"7811de67-712a-4ff9-8140-148b971e77f7","resolution":{"observed_at":"2026-05-09T21:33:29.527205Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.03009","last_updated":"2024-06-05T07:16:51Z","snapshot_observed_at":"2026-08-16T13:46:00.075410Z","submitted_at":"2024-06-05T07:16:51Z","title":"Unveiling Selection Biases: Exploring Order and Token Sensitivity in Large Language Models","version":1},"cited_work":{"arxiv_id":"2406.03009","doi":"10.48550/arxiv.2406.03009","metadata_source":"pith","pith_arxiv_id":"2406.03009","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2406.03009 , year=","venue":"cs.CL","work_id":"64649f87-b577-455b-9300-5dfe149fbe3e","year":2024},"citing_paper":{"arxiv_id":"2605.11974","last_updated":"2026-05-12T11:31:18Z","snapshot_observed_at":"2026-08-11T17:59:38.011831Z","submitted_at":"2026-05-12T11:31:18Z","title":"Towards Order Fairness: Mitigating LLMs Order Sensitivity through Dual Group Advantage Optimization","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-05-13T07:32:58.404947Z"},"links":{"cited_paper":"/paper/2406.03009","citing_paper":"/paper/2605.11974"},"observation_digest":"sha256:d93aebee510d169e0713f899e417d7242f5283623ba8da3ec054367fb01bdc06","observation_id":"eee701a0-3d6c-46f1-8b6d-884e3077443f","resolution":{"observed_at":"2026-05-13T07:37:29.831887Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.03009","last_updated":"2024-06-05T07:16:51Z","snapshot_observed_at":"2026-08-16T13:46:00.075410Z","submitted_at":"2024-06-05T07:16:51Z","title":"Unveiling Selection Biases: Exploring Order and Token Sensitivity in Large Language Models","version":1},"cited_work":{"arxiv_id":"2406.03009","doi":"10.48550/arxiv.2406.03009","metadata_source":"pith","pith_arxiv_id":"2406.03009","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2406.03009 , year=","venue":"cs.CL","work_id":"64649f87-b577-455b-9300-5dfe149fbe3e","year":2024},"citing_paper":{"arxiv_id":"2607.08065","last_updated":"2026-07-28T19:32:36Z","snapshot_observed_at":"2026-08-15T02:24:46.171612Z","submitted_at":"2026-07-09T02:46:51Z","title":"When LLMs Agree, Are They Right? Auditing Self-Consistency and Cross-Model Agreement as Confidence Signals","version":1},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-07-10T00:56:31.193905Z"},"links":{"cited_paper":"/paper/2406.03009","citing_paper":"/paper/2607.08065"},"observation_digest":"sha256:6712c87f1b8fe979e718e5ce4718ce20ec9f45f467519056caf2f7c94593ee48","observation_id":"6a63a836-1e9b-4e67-9145-1fc9cf62061f","resolution":{"observed_at":"2026-07-10T00:56:40.923300Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.03009","last_updated":"2024-06-05T07:16:51Z","snapshot_observed_at":"2026-08-16T13:46:00.075410Z","submitted_at":"2024-06-05T07:16:51Z","title":"Unveiling Selection Biases: Exploring Order and Token Sensitivity in Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.03009","snapshot_observed_at":"2026-08-02T07:59:15.548426Z","title":"Findings of the Association for Computational Linguistics: ACL 2024 , pages =","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.08065","last_updated":"2026-07-28T19:32:36Z","snapshot_observed_at":"2026-08-15T02:24:46.171612Z","submitted_at":"2026-07-09T02:46:51Z","title":"When LLMs Agree, Are They Right? Auditing Self-Consistency and Cross-Model Agreement as Confidence Signals","version":2},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-02T07:59:15.548426Z"},"links":{"cited_paper":"/paper/2406.03009","citing_paper":"/paper/2607.08065"},"observation_digest":"sha256:37a4062ee2226a57cb4f54bb496eb560a1edd0e9c056d414002ecc316c653a77","observation_id":"7e034839-8e47-4988-9e2e-0acc81ba2b9d","resolution":{"observed_at":"2026-08-02T07:59:15.548426Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2406.03009/citation-record","integrity":"/paper/2406.03009/integrity","json":"/paper/2406.03009/citation-record.json","paper":"/paper/2406.03009"},"outbound":[],"paper":{"arxiv_id":"2406.03009","last_updated":"2024-06-05T07:16:51Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-16T13:46:00.075410Z","submitted_at":"2024-06-05T07:16:51Z","title":"Unveiling Selection Biases: Exploring Order and Token Sensitivity in Large Language Models"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2406.03009."}