{"as_of":"2026-08-08T14:08:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b561254542ed7c5fcb2433e70b413bff1c94ca8a346c219261f049e7a5e235ae","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":17,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":17,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":17,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":17,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T15:31:31.382056Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-04T03:49:30.784265Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2108.06314","last_updated":"2021-10-25T01:10:38Z","snapshot_observed_at":"2026-08-07T12:53:09.497819Z","submitted_at":"2021-08-13T16:42:25Z","title":"A Dataset for Answering Time-Sensitive Questions","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2108.06314","snapshot_observed_at":"2026-08-07T15:31:31.382056Z","title":"A dataset for answering time-sensitive questions.arXiv preprint arXiv:2108.06314, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.14905","last_updated":"2025-05-20T20:59:59Z","snapshot_observed_at":"2026-08-07T15:25:21.327762Z","submitted_at":"2025-05-20T20:59:59Z","title":"Concept Incongruence: An Exploration of Time and Death in Role Playing","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T15:31:31.382056Z"},"links":{"cited_paper":"/paper/2108.06314","citing_paper":"/paper/2505.14905"},"observation_digest":"sha256:5fef8525197b116a68a9fd1cec2218aae3cbb3f41444756e518a9e01ab5f15e6","observation_id":"17eff360-da31-4482-84a5-e783afe96583","resolution":{"observed_at":"2026-08-07T15:31:31.382056Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2108.06314","last_updated":"2021-10-25T01:10:38Z","snapshot_observed_at":"2026-08-07T12:53:09.497819Z","submitted_at":"2021-08-13T16:42:25Z","title":"A Dataset for Answering Time-Sensitive Questions","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2108.06314","snapshot_observed_at":"2026-08-07T14:58:35.816259Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.17162","last_updated":"2025-05-22T15:13:33Z","snapshot_observed_at":"2026-08-07T14:53:14.544471Z","submitted_at":"2025-05-22T15:13:33Z","title":"DailyQA: A Benchmark to Evaluate Web Retrieval Augmented LLMs Based on Capturing Real-World Changes","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-07T14:58:35.816259Z"},"links":{"cited_paper":"/paper/2108.06314","citing_paper":"/paper/2505.17162"},"observation_digest":"sha256:a3f77adb95995abdb814f67601eedaed2bab414cbf40bf9173f97d456a9bbeda","observation_id":"f3433424-7fab-4435-9cfe-7c67f99020fc","resolution":{"observed_at":"2026-08-07T14:58:35.816259Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2108.06314","last_updated":"2021-10-25T01:10:38Z","snapshot_observed_at":"2026-08-07T12:53:09.497819Z","submitted_at":"2021-08-13T16:42:25Z","title":"A Dataset for Answering Time-Sensitive Questions","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2108.06314","snapshot_observed_at":"2026-08-07T14:17:05.536574Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.19533","last_updated":"2025-05-26T05:39:57Z","snapshot_observed_at":"2026-08-08T00:00:45.680749Z","submitted_at":"2025-05-26T05:39:57Z","title":"ExAnte: A Benchmark for Ex-Ante Inference in Large Language Models","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T14:17:05.536574Z"},"links":{"cited_paper":"/paper/2108.06314","citing_paper":"/paper/2505.19533"},"observation_digest":"sha256:48b004c3e45a33f2409f65fe702bf094a26c82fd847efc6bc17cf2fac03f867c","observation_id":"1058b819-ded4-4506-a282-191c8730e622","resolution":{"observed_at":"2026-08-07T14:17:05.536574Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2108.06314","last_updated":"2021-10-25T01:10:38Z","snapshot_observed_at":"2026-08-07T12:53:09.497819Z","submitted_at":"2021-08-13T16:42:25Z","title":"A Dataset for Answering Time-Sensitive Questions","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2108.06314","snapshot_observed_at":"2026-08-07T10:18:28.226500Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.05790","last_updated":"2025-06-06T06:37:01Z","snapshot_observed_at":"2026-08-07T10:11:07.706551Z","submitted_at":"2025-06-06T06:37:01Z","title":"Discrete Minds in a Continuous World: Do Language Models Know Time Passes?","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-07T10:18:28.226500Z"},"links":{"cited_paper":"/paper/2108.06314","citing_paper":"/paper/2506.05790"},"observation_digest":"sha256:545ce3a46ef524bcac04636f2066e29ad9b7c0117efed6fc92205a4742444dd8","observation_id":"edbe9933-313d-4812-a9ac-197ae663deff","resolution":{"observed_at":"2026-08-07T10:18:28.226500Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2108.06314","last_updated":"2021-10-25T01:10:38Z","snapshot_observed_at":"2026-08-07T12:53:09.497819Z","submitted_at":"2021-08-13T16:42:25Z","title":"A Dataset for Answering Time-Sensitive Questions","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2108.06314","snapshot_observed_at":"2026-08-07T00:24:24.882330Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.14213","last_updated":"2025-06-17T06:06:01Z","snapshot_observed_at":"2026-08-07T00:15:53.750919Z","submitted_at":"2025-06-17T06:06:01Z","title":"Chaining Event Spans for Temporal Relation Grounding","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-07T00:24:24.882330Z"},"links":{"cited_paper":"/paper/2108.06314","citing_paper":"/paper/2506.14213"},"observation_digest":"sha256:784a3420c8de48ffb9e0cfe7b3e43134e4d180bcee88a92bb5f4066299958438","observation_id":"ecfbdb28-4c9e-4384-acbd-0d4fd7867441","resolution":{"observed_at":"2026-08-07T00:24:24.882330Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2108.06314","last_updated":"2021-10-25T01:10:38Z","snapshot_observed_at":"2026-08-07T12:53:09.497819Z","submitted_at":"2021-08-13T16:42:25Z","title":"A Dataset for Answering Time-Sensitive Questions","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2108.06314","snapshot_observed_at":"2026-08-06T22:23:06.148897Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.21783","last_updated":"2025-06-26T21:40:58Z","snapshot_observed_at":"2026-08-06T22:16:51.005275Z","submitted_at":"2025-06-26T21:40:58Z","title":"Evaluating List Construction and Temporal Understanding capabilities of Large Language Models","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T22:23:06.148897Z"},"links":{"cited_paper":"/paper/2108.06314","citing_paper":"/paper/2506.21783"},"observation_digest":"sha256:9f2021d8654b2058d283c04d12d20eaad110ee2f652cefb42bd61c93ed0c81a9","observation_id":"c27269b5-1a6a-4770-8e18-91cd0f58ec82","resolution":{"observed_at":"2026-08-06T22:23:06.148897Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2108.06314","last_updated":"2021-10-25T01:10:38Z","snapshot_observed_at":"2026-08-07T12:53:09.497819Z","submitted_at":"2021-08-13T16:42:25Z","title":"A Dataset for Answering Time-Sensitive Questions","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2108.06314","snapshot_observed_at":"2026-08-06T15:41:52.088584Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.22917","last_updated":"2025-07-21T05:19:41Z","snapshot_observed_at":"2026-08-07T22:48:40.606711Z","submitted_at":"2025-07-21T05:19:41Z","title":"Reading Between the Timelines: RAG for Answering Diachronic Questions","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T15:41:52.088584Z"},"links":{"cited_paper":"/paper/2108.06314","citing_paper":"/paper/2507.22917"},"observation_digest":"sha256:d7b6371c8214870b9a8d7df71c104205d79d5ce1376b0da3ac786458c650308e","observation_id":"0582b2bd-e556-4623-b1b2-4b2b18e9c676","resolution":{"observed_at":"2026-08-06T15:41:52.088584Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2108.06314","last_updated":"2021-10-25T01:10:38Z","snapshot_observed_at":"2026-08-07T12:53:09.497819Z","submitted_at":"2021-08-13T16:42:25Z","title":"A Dataset for Answering Time-Sensitive Questions","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2108.06314","snapshot_observed_at":"2026-08-03T11:08:43.665042Z","title":"Zhi-Yuan Chen, Hao Wang, Xinyu Zhang, Enrui Hu, and Yankai Lin","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.07506","last_updated":"2026-06-10T04:38:15Z","snapshot_observed_at":"2026-08-07T06:23:54.175527Z","submitted_at":"2026-01-12T13:05:13Z","title":"Judging Against the Reference: Uncovering Knowledge-Driven Failures in LLM-Judges on QA Evaluation","version":2},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-03T11:08:43.665042Z"},"links":{"cited_paper":"/paper/2108.06314","citing_paper":"/paper/2601.07506"},"observation_digest":"sha256:b6a8e7361bc7638b706ae8ff6ba12ec60c716095ff6d24df67b2eea8f2c87121","observation_id":"aa27bbfb-854d-467c-87cf-b4709f37c1d7","resolution":{"observed_at":"2026-08-03T11:08:43.665042Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2108.06314","last_updated":"2021-10-25T01:10:38Z","snapshot_observed_at":"2026-08-07T12:53:09.497819Z","submitted_at":"2021-08-13T16:42:25Z","title":"A Dataset for Answering Time-Sensitive Questions","version":5},"cited_work":{"arxiv_id":"2108.06314","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2108.06314","snapshot_observed_at":"2026-07-04T03:49:30.784265Z","title":"A dataset for answering time-sensitive questions","venue":null,"work_id":"e67ce5ed-c0ec-4f32-9cc6-a9d3e368e700","year":2021},"citing_paper":{"arxiv_id":"2604.23051","last_updated":"2026-04-24T22:44:21Z","snapshot_observed_at":"2026-07-06T23:09:19.041332Z","submitted_at":"2026-04-24T22:44:21Z","title":"Evaluating Temporal Consistency in Multi-Turn Language Models","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-05-08T11:37:10.330674Z"},"links":{"cited_paper":"/paper/2108.06314","citing_paper":"/paper/2604.23051"},"observation_digest":"sha256:c541f25f212106bf3a4b4053c674a95e72aacc24e802bea69cb0ba77687d3003","observation_id":"448576e8-f0f4-4557-9081-592080233e46","resolution":{"observed_at":"2026-05-11T19:36:13.029314Z","resolver_source":"arxiv_id","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":"2108.06314","last_updated":"2021-10-25T01:10:38Z","snapshot_observed_at":"2026-08-07T12:53:09.497819Z","submitted_at":"2021-08-13T16:42:25Z","title":"A Dataset for Answering Time-Sensitive Questions","version":5},"cited_work":{"arxiv_id":"2108.06314","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2108.06314","snapshot_observed_at":"2026-07-04T03:49:30.784265Z","title":"A dataset for answering time-sensitive questions","venue":null,"work_id":"e67ce5ed-c0ec-4f32-9cc6-a9d3e368e700","year":2021},"citing_paper":{"arxiv_id":"2604.27306","last_updated":"2026-04-30T01:33:56Z","snapshot_observed_at":"2026-07-06T23:12:47.745700Z","submitted_at":"2026-04-30T01:33:56Z","title":"NuggetIndex: Governed Atomic Retrieval for Maintainable RAG","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-07T08:07:33.383045Z"},"links":{"cited_paper":"/paper/2108.06314","citing_paper":"/paper/2604.27306"},"observation_digest":"sha256:37350b3fe1dcab737e7d5d60f7bff86e5014b70f588e778c05cf55f9e323d715","observation_id":"085b4d93-1dba-4192-be3a-7866d0c965c1","resolution":{"observed_at":"2026-05-12T10:01:29.544940Z","resolver_source":"arxiv_id","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":"2108.06314","last_updated":"2021-10-25T01:10:38Z","snapshot_observed_at":"2026-08-07T12:53:09.497819Z","submitted_at":"2021-08-13T16:42:25Z","title":"A Dataset for Answering Time-Sensitive Questions","version":5},"cited_work":{"arxiv_id":"2108.06314","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2108.06314","snapshot_observed_at":"2026-07-04T03:49:30.784265Z","title":"A dataset for answering time-sensitive questions","venue":null,"work_id":"e67ce5ed-c0ec-4f32-9cc6-a9d3e368e700","year":2021},"citing_paper":{"arxiv_id":"2605.08590","last_updated":"2026-05-09T01:10:40Z","snapshot_observed_at":"2026-07-06T23:20:47.880233Z","submitted_at":"2026-05-09T01:10:40Z","title":"Causal Stories from Sensor Traces: Auditing Epistemic Overreach in LLM-Generated Personal Sensing Explanations","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-12T00:52:32.924013Z"},"links":{"cited_paper":"/paper/2108.06314","citing_paper":"/paper/2605.08590"},"observation_digest":"sha256:6eb04276fda7abc2f3d694d04419fcfcbf159400772afa852ddc9e5d7ffb555c","observation_id":"6a346d8d-f143-4958-b36e-a179b9985b37","resolution":{"observed_at":"2026-05-12T08:36:27.048986Z","resolver_source":"arxiv_id","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":"2108.06314","last_updated":"2021-10-25T01:10:38Z","snapshot_observed_at":"2026-08-07T12:53:09.497819Z","submitted_at":"2021-08-13T16:42:25Z","title":"A Dataset for Answering Time-Sensitive Questions","version":5},"cited_work":{"arxiv_id":"2108.06314","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2108.06314","snapshot_observed_at":"2026-07-04T03:49:30.784265Z","title":"A dataset for answering time-sensitive questions","venue":null,"work_id":"e67ce5ed-c0ec-4f32-9cc6-a9d3e368e700","year":2021},"citing_paper":{"arxiv_id":"2605.09195","last_updated":"2026-05-09T22:27:31Z","snapshot_observed_at":"2026-07-29T22:50:26.989270Z","submitted_at":"2026-05-09T22:27:31Z","title":"The Geometry of Forgetting: Temporal Knowledge Drift as an Independent Axis in LLM Representations","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-12T01:55:32.734498Z"},"links":{"cited_paper":"/paper/2108.06314","citing_paper":"/paper/2605.09195"},"observation_digest":"sha256:360b8ee4851c6d13b7882e4ff3a6908e80772175beab4d08cab8c98a79475642","observation_id":"63c634c3-8c98-439b-989f-bfb5d24b27f9","resolution":{"observed_at":"2026-05-12T01:56:14.684307Z","resolver_source":"arxiv_id","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":"2108.06314","last_updated":"2021-10-25T01:10:38Z","snapshot_observed_at":"2026-08-07T12:53:09.497819Z","submitted_at":"2021-08-13T16:42:25Z","title":"A Dataset for Answering Time-Sensitive Questions","version":5},"cited_work":{"arxiv_id":"2108.06314","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2108.06314","snapshot_observed_at":"2026-07-04T03:49:30.784265Z","title":"A dataset for answering time-sensitive questions","venue":null,"work_id":"e67ce5ed-c0ec-4f32-9cc6-a9d3e368e700","year":2021},"citing_paper":{"arxiv_id":"2605.21949","last_updated":"2026-05-21T03:29:50Z","snapshot_observed_at":"2026-07-06T23:32:20.708664Z","submitted_at":"2026-05-21T03:29:50Z","title":"Claim-Selective Certification for High-Risk Medical Retrieval-Augmented Generation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-22T06:59:37.791418Z"},"links":{"cited_paper":"/paper/2108.06314","citing_paper":"/paper/2605.21949"},"observation_digest":"sha256:e72aeac8dd11468e1eabe5599f201215f10ab108294286d8ad0389aea583df1e","observation_id":"2fb348b3-86fa-48fe-b800-f2a88313c781","resolution":{"observed_at":"2026-05-22T07:01:11.719873Z","resolver_source":"arxiv_id","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":"2108.06314","last_updated":"2021-10-25T01:10:38Z","snapshot_observed_at":"2026-08-07T12:53:09.497819Z","submitted_at":"2021-08-13T16:42:25Z","title":"A Dataset for Answering Time-Sensitive Questions","version":5},"cited_work":{"arxiv_id":"2108.06314","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2108.06314","snapshot_observed_at":"2026-07-04T03:49:30.784265Z","title":"A dataset for answering time-sensitive questions","venue":null,"work_id":"e67ce5ed-c0ec-4f32-9cc6-a9d3e368e700","year":2021},"citing_paper":{"arxiv_id":"2606.06044","last_updated":"2026-06-04T11:39:50Z","snapshot_observed_at":"2026-07-06T23:45:56.266116Z","submitted_at":"2026-06-04T11:39:50Z","title":"IA-RAG: Interval-Algebra-Driven Temporal Reasoning for Dynamic Knowledge Retrieval","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-06-28T01:36:39.557831Z"},"links":{"cited_paper":"/paper/2108.06314","citing_paper":"/paper/2606.06044"},"observation_digest":"sha256:e17aea5e1f8a93795f052ae6c4b881cabccd37290fa08d15183e195e84e4a9ea","observation_id":"e663a1c9-038f-4e4c-9bbd-3d7af2d8c8b5","resolution":{"observed_at":"2026-07-02T13:06:59.016610Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2108.06314","last_updated":"2021-10-25T01:10:38Z","snapshot_observed_at":"2026-08-07T12:53:09.497819Z","submitted_at":"2021-08-13T16:42:25Z","title":"A Dataset for Answering Time-Sensitive Questions","version":5},"cited_work":{"arxiv_id":"2108.06314","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2108.06314","snapshot_observed_at":"2026-07-04T03:49:30.784265Z","title":"A dataset for answering time-sensitive questions","venue":null,"work_id":"e67ce5ed-c0ec-4f32-9cc6-a9d3e368e700","year":2021},"citing_paper":{"arxiv_id":"2606.20959","last_updated":"2026-08-05T19:11:41Z","snapshot_observed_at":"2026-08-08T13:13:54.724129Z","submitted_at":"2026-06-18T21:56:18Z","title":"Right Knowledge, Wrong Answer: Characterizing Parametric Temporal Conflict in Open-Weight Language Models","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-06-26T17:35:09.053339Z"},"links":{"cited_paper":"/paper/2108.06314","citing_paper":"/paper/2606.20959"},"observation_digest":"sha256:7f282cbe2c00764c738d7543e106cdeb7b69fce3de1f9765e327e6748a1f6014","observation_id":"f03a3286-553c-4cc1-86a8-91d42dfa26b4","resolution":{"observed_at":"2026-07-04T03:49:30.786391Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2108.06314","last_updated":"2021-10-25T01:10:38Z","snapshot_observed_at":"2026-08-07T12:53:09.497819Z","submitted_at":"2021-08-13T16:42:25Z","title":"A Dataset for Answering Time-Sensitive Questions","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2108.06314","snapshot_observed_at":"2026-08-02T10:48:06.097325Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.20959","last_updated":"2026-08-05T19:11:41Z","snapshot_observed_at":"2026-08-08T13:13:54.724129Z","submitted_at":"2026-06-18T21:56:18Z","title":"Right Knowledge, Wrong Answer: Characterizing Parametric Temporal Conflict in Open-Weight Language Models","version":2},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-02T10:48:06.097325Z"},"links":{"cited_paper":"/paper/2108.06314","citing_paper":"/paper/2606.20959"},"observation_digest":"sha256:3de6de42d86d83a4d0b7ae4fe0f5d85e757abb93b1bf97c648479f857b01cd4b","observation_id":"77590e25-5ba9-45e4-8b24-f1ae9df899f7","resolution":{"observed_at":"2026-08-02T10:48:06.097325Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2108.06314","last_updated":"2021-10-25T01:10:38Z","snapshot_observed_at":"2026-08-07T12:53:09.497819Z","submitted_at":"2021-08-13T16:42:25Z","title":"A Dataset for Answering Time-Sensitive Questions","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2108.06314","snapshot_observed_at":"2026-08-01T09:49:36.481860Z","title":"A Dataset for Answering Time-Sensitive Questions,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.20638","last_updated":"2026-07-22T18:10:07Z","snapshot_observed_at":"2026-08-06T04:54:27.491084Z","submitted_at":"2026-07-22T18:10:07Z","title":"WaveformQA: Benchmarking LLM Temporal Reasoning on Digital Waveforms","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-01T09:49:36.481860Z"},"links":{"cited_paper":"/paper/2108.06314","citing_paper":"/paper/2607.20638"},"observation_digest":"sha256:b09abf7e9a50f9a94d63b88c7a733548272bade48f3f7ba67784f87f9aa9eefd","observation_id":"e1014def-caff-472e-8c42-e7a4f20254d1","resolution":{"observed_at":"2026-08-01T09:49:36.481860Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2108.06314/citation-record","integrity":"/paper/2108.06314/integrity","json":"/paper/2108.06314/citation-record.json","paper":"/paper/2108.06314"},"outbound":[],"paper":{"arxiv_id":"2108.06314","last_updated":"2021-10-25T01:10:38Z","latest_version":5,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-07T12:53:09.497819Z","submitted_at":"2021-08-13T16:42:25Z","title":"A Dataset for Answering Time-Sensitive Questions"},"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 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2108.06314."}