{"as_of":"2026-08-09T04:11:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f8270d92173099fa567c4a52b0bed4dc778857857a64b5f6a372f24d5611bd69","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":"2026-08-08T06:32:00.761636+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":"2026-08-08T13:45:49.724664Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-06T17:35:21.280197Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2311.09469","last_updated":"2023-11-16T00:18:50Z","snapshot_observed_at":"2026-08-04T05:49:28.331204Z","submitted_at":"2023-11-16T00:18:50Z","title":"Clarify When Necessary: Resolving Ambiguity Through Interaction with LMs","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.09469","snapshot_observed_at":"2026-08-08T13:45:49.724664Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.07132","last_updated":"2025-08-07T00:04:44Z","snapshot_observed_at":"2026-08-08T13:40:28.075522Z","submitted_at":"2025-02-10T23:50:09Z","title":"Interactive Data Harmonization with LLM Agents: Opportunities and Challenges","version":3},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-08T13:45:49.724664Z"},"links":{"cited_paper":"/paper/2311.09469","citing_paper":"/paper/2502.07132"},"observation_digest":"sha256:fe8d08b852cb6fec6a33af4fddb8bb6f3b86bc0c982c2ccfc9bbe41d60159058","observation_id":"534a9087-ab00-40be-aa09-1fbf4acd1dc8","resolution":{"observed_at":"2026-08-08T13:45:49.724664Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.09469","last_updated":"2023-11-16T00:18:50Z","snapshot_observed_at":"2026-08-04T05:49:28.331204Z","submitted_at":"2023-11-16T00:18:50Z","title":"Clarify When Necessary: Resolving Ambiguity Through Interaction with LMs","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.09469","snapshot_observed_at":"2026-08-07T05:41:36.458688Z","title":"ArXiv:2311.09469","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.07448","last_updated":"2025-06-09T05:52:03Z","snapshot_observed_at":"2026-08-08T15:03:13.597359Z","submitted_at":"2025-06-09T05:52:03Z","title":"Extending Epistemic Uncertainty Beyond Parameters Would Assist in Designing Reliable LLMs","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:36.458688Z"},"links":{"cited_paper":"/paper/2311.09469","citing_paper":"/paper/2506.07448"},"observation_digest":"sha256:4fd58f1aeb6f9bcb9480db837a9d714fd2742158dea6689f7c8049009bc5b615","observation_id":"bef57448-cca0-47ea-b904-4d327b6b65fa","resolution":{"observed_at":"2026-08-07T05:41:36.458688Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.09469","last_updated":"2023-11-16T00:18:50Z","snapshot_observed_at":"2026-08-04T05:49:28.331204Z","submitted_at":"2023-11-16T00:18:50Z","title":"Clarify When Necessary: Resolving Ambiguity Through Interaction with LMs","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.09469","snapshot_observed_at":"2026-08-06T23:48:42.490680Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.16288","last_updated":"2025-06-19T13:05:12Z","snapshot_observed_at":"2026-08-08T01:25:18.645727Z","submitted_at":"2025-06-19T13:05:12Z","title":"Next-Token Prediction Should be Ambiguity-Sensitive: A Meta-Learning Perspective","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T23:48:42.490680Z"},"links":{"cited_paper":"/paper/2311.09469","citing_paper":"/paper/2506.16288"},"observation_digest":"sha256:88b2e543778b91044c282f6762782032d7a80d61cd0131af932a6ec6c2614b18","observation_id":"7f75c7c1-d6dc-4921-9410-b8353192be3b","resolution":{"observed_at":"2026-08-06T23:48:42.490680Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.09469","last_updated":"2023-11-16T00:18:50Z","snapshot_observed_at":"2026-08-04T05:49:28.331204Z","submitted_at":"2023-11-16T00:18:50Z","title":"Clarify When Necessary: Resolving Ambiguity Through Interaction with LMs","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.09469","snapshot_observed_at":"2026-08-06T23:42:47.854964Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.16874","last_updated":"2025-06-20T09:46:09Z","snapshot_observed_at":"2026-08-06T23:35:47.084744Z","submitted_at":"2025-06-20T09:46:09Z","title":"Exploring the Usage of Generative AI for Group Project-Based Offline Art Courses in Elementary Schools","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-06T23:42:47.854964Z"},"links":{"cited_paper":"/paper/2311.09469","citing_paper":"/paper/2506.16874"},"observation_digest":"sha256:c2103b69ad4bac6e07309b14caab48bcfa406ee0a27cf6c8dbf809d12f20dc90","observation_id":"f5fe87d7-f590-46a9-9631-506a545bad9a","resolution":{"observed_at":"2026-08-06T23:42:47.854964Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.09469","last_updated":"2023-11-16T00:18:50Z","snapshot_observed_at":"2026-08-04T05:49:28.331204Z","submitted_at":"2023-11-16T00:18:50Z","title":"Clarify When Necessary: Resolving Ambiguity Through Interaction with LMs","version":1},"cited_work":{"arxiv_id":"2311.09469","doi":null,"metadata_source":"pith","pith_arxiv_id":"2311.09469","snapshot_observed_at":"2026-08-06T17:35:21.280197Z","title":"Clarify When Necessary: Resolving Ambiguity Through Interaction with LMs","venue":"cs.CL","work_id":"55ff6dfd-3509-4505-b81e-443fd78a320c","year":2023},"citing_paper":{"arxiv_id":"2507.10445","last_updated":"2025-07-14T16:28:00Z","snapshot_observed_at":"2026-08-08T14:51:56.481257Z","submitted_at":"2025-07-14T16:28:00Z","title":"Referential ambiguity and clarification requests: comparing human and LLM behaviour","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-06T17:35:20.789232Z"},"links":{"cited_paper":"/paper/2311.09469","citing_paper":"/paper/2507.10445"},"observation_digest":"sha256:c179ae07ade5f42d793e6dda772b748929218f9a856bbfc5204d35893b4b0168","observation_id":"8e1aefc8-04e6-43af-b248-4558dc559a57","resolution":{"observed_at":"2026-08-06T17:35:21.286878Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.09469","last_updated":"2023-11-16T00:18:50Z","snapshot_observed_at":"2026-08-04T05:49:28.331204Z","submitted_at":"2023-11-16T00:18:50Z","title":"Clarify When Necessary: Resolving Ambiguity Through Interaction with LMs","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.09469","snapshot_observed_at":"2026-08-02T17:57:56.588960Z","title":"Clarify when necessary: Resolving ambiguity through interaction with lms,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2603.18271","last_updated":"2026-07-29T12:13:10Z","snapshot_observed_at":"2026-08-08T01:55:19.225646Z","submitted_at":"2026-03-18T20:44:34Z","title":"SG-CoT: An Ambiguity-Aware Robotic Planning Framework using Scene Graph Representations","version":3},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-02T17:57:56.588960Z"},"links":{"cited_paper":"/paper/2311.09469","citing_paper":"/paper/2603.18271"},"observation_digest":"sha256:80e1378598ea9fb91f0c7adc7adaa0f340b4aa9bbc790a78f98d6a6b3bdf8d2a","observation_id":"7a33c5e6-1584-4978-b80f-afed2bd435d1","resolution":{"observed_at":"2026-08-02T17:57:56.588960Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.09469","last_updated":"2023-11-16T00:18:50Z","snapshot_observed_at":"2026-08-04T05:49:28.331204Z","submitted_at":"2023-11-16T00:18:50Z","title":"Clarify When Necessary: Resolving Ambiguity Through Interaction with LMs","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.09469","snapshot_observed_at":"2026-07-14T15:55:25.318583Z","title":"arXiv:2311.09469 [cs.CL] , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.09776","last_updated":"2026-07-15T15:49:55Z","snapshot_observed_at":"2026-08-08T06:15:43.883473Z","submitted_at":"2026-07-08T03:03:38Z","title":"HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation","version":1},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-07-14T15:55:25.318583Z"},"links":{"cited_paper":"/paper/2311.09469","citing_paper":"/paper/2607.09776"},"observation_digest":"sha256:246d5e24412100440b646654e3e74b024f221b5894b2ef26916fea686a9cada2","observation_id":"bf5f8e2e-4802-4f84-bce4-97f34610865f","resolution":{"observed_at":"2026-07-14T15:55:25.318583Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.09469","last_updated":"2023-11-16T00:18:50Z","snapshot_observed_at":"2026-08-04T05:49:28.331204Z","submitted_at":"2023-11-16T00:18:50Z","title":"Clarify When Necessary: Resolving Ambiguity Through Interaction with LMs","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.09469","snapshot_observed_at":"2026-08-02T08:13:08.877782Z","title":"arXiv:2311.09469 [cs.CL] , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.09776","last_updated":"2026-07-15T15:49:55Z","snapshot_observed_at":"2026-08-08T06:15:43.883473Z","submitted_at":"2026-07-08T03:03:38Z","title":"HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation","version":2},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-08-02T08:13:08.877782Z"},"links":{"cited_paper":"/paper/2311.09469","citing_paper":"/paper/2607.09776"},"observation_digest":"sha256:13fc271f02d15e3c80080194f08d59c36139bd5523de94e6e52ec7115f7e2471","observation_id":"7aba1f7d-3185-4c6d-8601-9c8de4673f1a","resolution":{"observed_at":"2026-08-02T08:13:08.877782Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2311.09469/citation-record","integrity":"/paper/2311.09469/integrity","json":"/paper/2311.09469/citation-record.json","paper":"/paper/2311.09469"},"outbound":[],"paper":{"arxiv_id":"2311.09469","last_updated":"2023-11-16T00:18:50Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-04T05:49:28.331204Z","submitted_at":"2023-11-16T00:18:50Z","title":"Clarify When Necessary: Resolving Ambiguity Through Interaction with LMs"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2311.09469."}