{"as_of":"2026-08-21T15:39:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:946ffd8f3b6ca706e79fae94162b57475f247310cbfaef90b6e6e516ff0c3056","coverage":[{"denominator":31,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":31,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T04:39:32.113480Z","state":"measured"},{"denominator":31,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":31,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-21T06:32:19.484+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/2608.08512/citation-record","integrity":"/paper/2608.08512/integrity","json":"/paper/2608.08512/citation-record.json","paper":"/paper/2608.08512"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T04:39:32.929785Z","title":null,"venue":null,"work_id":"4f9f4782-cd0f-487b-877d-315524f9405f","year":2011},"citing_paper":{"arxiv_id":"2608.08512","last_updated":"2026-08-09T06:17:41Z","snapshot_observed_at":"2026-08-20T13:20:38.994133Z","submitted_at":"2026-08-09T06:17:41Z","title":"Time Present and Time Past: Benchmarking Large Language Models on Temporally Evolving Document Understanding","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T04:39:31.937162Z"},"links":{"citing_paper":"/paper/2608.08512"},"observation_digest":"sha256:bb595f646403b8457f5206465a89cd1b4b08040e4e63b7d451db0374cc60c548","observation_id":"98fb49bd-bd02-4985-9cdd-e21fb122a450","resolution":{"observed_at":"2026-08-14T04:39:32.935828Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.09170","last_updated":"2024-06-13T14:31:19Z","snapshot_observed_at":"2026-08-18T20:50:48.912130Z","submitted_at":"2024-06-13T14:31:19Z","title":"Test of Time: A Benchmark for Evaluating LLMs on Temporal Reasoning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.09170","snapshot_observed_at":"2026-08-14T04:39:31.908208Z","title":"Google DeepMind","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.08512","last_updated":"2026-08-09T06:17:41Z","snapshot_observed_at":"2026-08-20T13:20:38.994133Z","submitted_at":"2026-08-09T06:17:41Z","title":"Time Present and Time Past: Benchmarking Large Language Models on Temporally Evolving Document Understanding","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T04:39:31.908208Z"},"links":{"cited_paper":"/paper/2406.09170","citing_paper":"/paper/2608.08512"},"observation_digest":"sha256:8ff3f4b4a652dbed2ae344568a3f6187002f2516492f30916d638ff2a9ba7498","observation_id":"4b3b03a4-708c-4392-b423-7b3f4c5ed25c","resolution":{"observed_at":"2026-08-14T04:39:31.908208Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T04:39:32.896405Z","title":null,"venue":null,"work_id":"243a2af7-5ea5-4171-ba77-1d7b9a54544e","year":2016},"citing_paper":{"arxiv_id":"2608.08512","last_updated":"2026-08-09T06:17:41Z","snapshot_observed_at":"2026-08-20T13:20:38.994133Z","submitted_at":"2026-08-09T06:17:41Z","title":"Time Present and Time Past: Benchmarking Large Language Models on Temporally Evolving Document Understanding","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T04:39:31.948051Z"},"links":{"citing_paper":"/paper/2608.08512"},"observation_digest":"sha256:523a19fe7ededdf9e85c82de13581a1bfb547215f02f6caeaee1a24a96ea270a","observation_id":"5ebffb97-d7a6-417c-b61f-6061afc88e60","resolution":{"observed_at":"2026-08-14T04:39:32.900690Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-14T04:39:32.881999Z","title":"Example 2","venue":null,"work_id":"29834a6a-34a4-4864-8a86-ce4b57eae242","year":2025},"citing_paper":{"arxiv_id":"2608.08512","last_updated":"2026-08-09T06:17:41Z","snapshot_observed_at":"2026-08-20T13:20:38.994133Z","submitted_at":"2026-08-09T06:17:41Z","title":"Time Present and Time Past: Benchmarking Large Language Models on Temporally Evolving Document Understanding","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T04:39:31.952886Z"},"links":{"citing_paper":"/paper/2608.08512"},"observation_digest":"sha256:50edb0d7f1283cdc01aaba5a425f1ae16d10aefdea580100596ee13f321f6f44","observation_id":"d84e8b59-4fcc-4c05-a05d-de98bb2bcee8","resolution":{"observed_at":"2026-08-14T04:39:32.886408Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-14T04:39:32.785150Z","title":"document_info","venue":null,"work_id":"335b54c2-b72a-4d01-b57a-4cb46f315102","year":2012},"citing_paper":{"arxiv_id":"2608.08512","last_updated":"2026-08-09T06:17:41Z","snapshot_observed_at":"2026-08-20T13:20:38.994133Z","submitted_at":"2026-08-09T06:17:41Z","title":"Time Present and Time Past: Benchmarking Large Language Models on Temporally Evolving Document Understanding","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T04:39:31.976809Z"},"links":{"citing_paper":"/paper/2608.08512"},"observation_digest":"sha256:0d459612f326a0cf33b9a3b09c63aa4808bd68f8ae8b61c2e5a4049fc6502b33","observation_id":"c635e0b7-3108-49b7-a80b-06fb9f019f89","resolution":{"observed_at":"2026-08-14T04:39:32.789770Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-14T04:39:32.910451Z","title":null,"venue":null,"work_id":"00143452-35b9-417a-ad55-0e59766dce58","year":2016},"citing_paper":{"arxiv_id":"2608.08512","last_updated":"2026-08-09T06:17:41Z","snapshot_observed_at":"2026-08-20T13:20:38.994133Z","submitted_at":"2026-08-09T06:17:41Z","title":"Time Present and Time Past: Benchmarking Large Language Models on Temporally Evolving Document Understanding","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T04:39:31.942334Z"},"links":{"citing_paper":"/paper/2608.08512"},"observation_digest":"sha256:bbd8b36bbb9c3358120ca2fd4e669834da3de2571dc8c396e0b92ce9c5e2b0a7","observation_id":"20aec8f0-03fb-4854-8205-63ca109fae50","resolution":{"observed_at":"2026-08-14T04:39:32.914867Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-14T04:39:32.866432Z","title":null,"venue":null,"work_id":"9d8e8759-7747-446a-8bfb-4d8c9e594af5","year":2010},"citing_paper":{"arxiv_id":"2608.08512","last_updated":"2026-08-09T06:17:41Z","snapshot_observed_at":"2026-08-20T13:20:38.994133Z","submitted_at":"2026-08-09T06:17:41Z","title":"Time Present and Time Past: Benchmarking Large Language Models on Temporally Evolving Document Understanding","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T04:39:31.957721Z"},"links":{"citing_paper":"/paper/2608.08512"},"observation_digest":"sha256:f387d7a4ec10b3514e2f22ba264bb90f869f53f4c9df7ab97b3576b4c543574f","observation_id":"9ac292e5-2db5-4c8a-a476-6219812c98e3","resolution":{"observed_at":"2026-08-14T04:39:32.871678Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-14T04:39:32.850370Z","title":null,"venue":null,"work_id":"c1f6475a-47cf-4db6-aaaa-9041c0d108f8","year":2011},"citing_paper":{"arxiv_id":"2608.08512","last_updated":"2026-08-09T06:17:41Z","snapshot_observed_at":"2026-08-20T13:20:38.994133Z","submitted_at":"2026-08-09T06:17:41Z","title":"Time Present and Time Past: Benchmarking Large Language Models on Temporally Evolving Document Understanding","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T04:39:31.962520Z"},"links":{"citing_paper":"/paper/2608.08512"},"observation_digest":"sha256:b5f29c88029efa8a83ac2a86a19131a10e33031b69d3f214761f645469c6be45","observation_id":"d9dc1449-a09a-4bac-bed9-63426e001965","resolution":{"observed_at":"2026-08-14T04:39:32.855822Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-14T04:39:32.823843Z","title":null,"venue":null,"work_id":"3dbe7d52-d52d-403d-8a58-51fc77685dfb","year":2016},"citing_paper":{"arxiv_id":"2608.08512","last_updated":"2026-08-09T06:17:41Z","snapshot_observed_at":"2026-08-20T13:20:38.994133Z","submitted_at":"2026-08-09T06:17:41Z","title":"Time Present and Time Past: Benchmarking Large Language Models on Temporally Evolving Document Understanding","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T04:39:31.967076Z"},"links":{"citing_paper":"/paper/2608.08512"},"observation_digest":"sha256:3e218286baab728a99bb3dfff12748e5f7f141bf3a8cf9abcaf59c31b4d8a8db","observation_id":"97c7d33a-0a8e-4b14-8a83-2e7b12934bbd","resolution":{"observed_at":"2026-08-14T04:39:32.834602Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-14T04:39:32.799913Z","title":null,"venue":null,"work_id":"6ef6b87e-642c-4422-886d-d9728dd72786","year":2020},"citing_paper":{"arxiv_id":"2608.08512","last_updated":"2026-08-09T06:17:41Z","snapshot_observed_at":"2026-08-20T13:20:38.994133Z","submitted_at":"2026-08-09T06:17:41Z","title":"Time Present and Time Past: Benchmarking Large Language Models on Temporally Evolving Document Understanding","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T04:39:31.971977Z"},"links":{"citing_paper":"/paper/2608.08512"},"observation_digest":"sha256:a64939de3660a6ea40fa20534019847131c406fdfe33821849b5fa1b1f97540f","observation_id":"a2fb1aca-9fb2-4fe6-b598-c24a16dab460","resolution":{"observed_at":"2026-08-14T04:39:32.804197Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-14T04:39:32.768598Z","title":null,"venue":null,"work_id":"649437ec-5cbc-42ce-841e-5770e7c0e023","year":null},"citing_paper":{"arxiv_id":"2608.08512","last_updated":"2026-08-09T06:17:41Z","snapshot_observed_at":"2026-08-20T13:20:38.994133Z","submitted_at":"2026-08-09T06:17:41Z","title":"Time Present and Time Past: Benchmarking Large Language Models on Temporally Evolving Document Understanding","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T04:39:31.982106Z"},"links":{"citing_paper":"/paper/2608.08512"},"observation_digest":"sha256:d3e0876fcfbb9a73632addc492a222fc1ee1b31330272c9f95029642cee58375","observation_id":"ff7c87c7-3f82-4064-b4f0-757d3fbdb1ab","resolution":{"observed_at":"2026-08-14T04:39:32.773484Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-14T04:39:32.731420Z","title":null,"venue":null,"work_id":"862b9470-80de-4bd4-a0b4-e149d21e435c","year":null},"citing_paper":{"arxiv_id":"2608.08512","last_updated":"2026-08-09T06:17:41Z","snapshot_observed_at":"2026-08-20T13:20:38.994133Z","submitted_at":"2026-08-09T06:17:41Z","title":"Time Present and Time Past: Benchmarking Large Language Models on Temporally Evolving Document Understanding","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-14T04:39:31.987429Z"},"links":{"citing_paper":"/paper/2608.08512"},"observation_digest":"sha256:37eeb4c3b0d34b9cc0c93a037befae87fd152b67404127fc90808572e1e5f68c","observation_id":"f545ce58-7ea2-4d93-89a1-f285c1b28efd","resolution":{"observed_at":"2026-08-14T04:39:32.754645Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-14T04:39:32.714284Z","title":null,"venue":null,"work_id":"f9a53a67-ccbb-403e-a27b-e1e33f8a6094","year":null},"citing_paper":{"arxiv_id":"2608.08512","last_updated":"2026-08-09T06:17:41Z","snapshot_observed_at":"2026-08-20T13:20:38.994133Z","submitted_at":"2026-08-09T06:17:41Z","title":"Time Present and Time Past: Benchmarking Large Language Models on Temporally Evolving Document Understanding","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-14T04:39:31.992610Z"},"links":{"citing_paper":"/paper/2608.08512"},"observation_digest":"sha256:8ef1e1da2c9a0d4f8d4705451604856f0465ef04ce12f99987628e5a897bb88d","observation_id":"5db82a26-9efa-4658-887d-08dd00cf9954","resolution":{"observed_at":"2026-08-14T04:39:32.718700Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-14T04:39:32.693050Z","title":null,"venue":null,"work_id":"d844a045-b9ac-41a8-b016-88256860f60c","year":null},"citing_paper":{"arxiv_id":"2608.08512","last_updated":"2026-08-09T06:17:41Z","snapshot_observed_at":"2026-08-20T13:20:38.994133Z","submitted_at":"2026-08-09T06:17:41Z","title":"Time Present and Time Past: Benchmarking Large Language Models on Temporally Evolving Document Understanding","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T04:39:31.997611Z"},"links":{"citing_paper":"/paper/2608.08512"},"observation_digest":"sha256:1a28cb8fc44f3ee2e3214b5ca03040c48d87ed183c70ef9c5465cc350f546be8","observation_id":"05655edf-997d-4344-bef4-a17c251df9af","resolution":{"observed_at":"2026-08-14T04:39:32.697634Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-14T04:39:32.677980Z","title":"metadata","venue":null,"work_id":"8d4bca2a-be1a-4388-94a1-6e3760d710ae","year":null},"citing_paper":{"arxiv_id":"2608.08512","last_updated":"2026-08-09T06:17:41Z","snapshot_observed_at":"2026-08-20T13:20:38.994133Z","submitted_at":"2026-08-09T06:17:41Z","title":"Time Present and Time Past: Benchmarking Large Language Models on Temporally Evolving Document Understanding","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T04:39:32.015113Z"},"links":{"citing_paper":"/paper/2608.08512"},"observation_digest":"sha256:d592a0ee8baf8eb547ed18ee714735958dc046287b3ca8e46527264991cb6b4f","observation_id":"05c5a0dd-78e5-4ca6-b62e-d65990bb28d8","resolution":{"observed_at":"2026-08-14T04:39:32.682478Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-14T04:39:32.662216Z","title":null,"venue":null,"work_id":"f4471aea-e836-42cd-8f99-a7f7e87f9b02","year":null},"citing_paper":{"arxiv_id":"2608.08512","last_updated":"2026-08-09T06:17:41Z","snapshot_observed_at":"2026-08-20T13:20:38.994133Z","submitted_at":"2026-08-09T06:17:41Z","title":"Time Present and Time Past: Benchmarking Large Language Models on Temporally Evolving Document Understanding","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-14T04:39:32.022211Z"},"links":{"citing_paper":"/paper/2608.08512"},"observation_digest":"sha256:ee383ee450a12ae8ac57985eafa7e4adfc6723ef9e4d7eaf6a71e9fa3b97529e","observation_id":"80705a7c-805f-45c1-ad1d-c62a9bb36b9a","resolution":{"observed_at":"2026-08-14T04:39:32.667044Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-14T04:39:32.645656Z","title":null,"venue":null,"work_id":"64d5023f-2da2-4d2d-b428-f3a8ec1ecae5","year":null},"citing_paper":{"arxiv_id":"2608.08512","last_updated":"2026-08-09T06:17:41Z","snapshot_observed_at":"2026-08-20T13:20:38.994133Z","submitted_at":"2026-08-09T06:17:41Z","title":"Time Present and Time Past: Benchmarking Large Language Models on Temporally Evolving Document Understanding","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-14T04:39:32.047626Z"},"links":{"citing_paper":"/paper/2608.08512"},"observation_digest":"sha256:789e8dbe5c0805f224798a8a14a6bf558103e9a2b77351286f49c31cc7279245","observation_id":"6eebb091-3c40-4100-8640-961acd42597f","resolution":{"observed_at":"2026-08-14T04:39:32.650896Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-14T04:39:32.593324Z","title":"Use the same form every time","venue":null,"work_id":"437845de-fb61-4aa4-a07c-c60e466c437e","year":null},"citing_paper":{"arxiv_id":"2608.08512","last_updated":"2026-08-09T06:17:41Z","snapshot_observed_at":"2026-08-20T13:20:38.994133Z","submitted_at":"2026-08-09T06:17:41Z","title":"Time Present and Time Past: Benchmarking Large Language Models on Temporally Evolving Document Understanding","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-14T04:39:32.052329Z"},"links":{"citing_paper":"/paper/2608.08512"},"observation_digest":"sha256:a0578a5b1acf36d568c7ebab2b4378aa20bccf122b8bb2db2d26e88b293a6fc7","observation_id":"e511ad00-820d-4a84-b84a-fd6c7fec5996","resolution":{"observed_at":"2026-08-14T04:39:32.600384Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-14T04:39:32.575519Z","title":null,"venue":null,"work_id":"396b8ce5-9b00-41a1-a31d-f3c702efd082","year":null},"citing_paper":{"arxiv_id":"2608.08512","last_updated":"2026-08-09T06:17:41Z","snapshot_observed_at":"2026-08-20T13:20:38.994133Z","submitted_at":"2026-08-09T06:17:41Z","title":"Time Present and Time Past: Benchmarking Large Language Models on Temporally Evolving Document Understanding","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-14T04:39:32.056607Z"},"links":{"citing_paper":"/paper/2608.08512"},"observation_digest":"sha256:a07623e5737012a9e227dd272558ce24b3de5d75adf8768a6d8810d84432fef1","observation_id":"7cb02494-8a45-4fb4-b68d-c7397d9ed743","resolution":{"observed_at":"2026-08-14T04:39:32.580163Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-14T04:39:32.554852Z","title":null,"venue":null,"work_id":"05356382-38fd-44df-8c17-7de32317d374","year":null},"citing_paper":{"arxiv_id":"2608.08512","last_updated":"2026-08-09T06:17:41Z","snapshot_observed_at":"2026-08-20T13:20:38.994133Z","submitted_at":"2026-08-09T06:17:41Z","title":"Time Present and Time Past: Benchmarking Large Language Models on Temporally Evolving Document Understanding","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-14T04:39:32.060899Z"},"links":{"citing_paper":"/paper/2608.08512"},"observation_digest":"sha256:47bd1b6b74deefcc14249baadd86b9e6bbe9be7dbcf854f6180a5c20cf40b5fd","observation_id":"a82ce3c6-21eb-4006-a875-c8fa2385fc58","resolution":{"observed_at":"2026-08-14T04:39:32.561125Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-14T04:39:32.539123Z","title":"qa_pairs","venue":null,"work_id":"8c9db66c-37a0-49c1-9e02-a43ca3662d8f","year":1969},"citing_paper":{"arxiv_id":"2608.08512","last_updated":"2026-08-09T06:17:41Z","snapshot_observed_at":"2026-08-20T13:20:38.994133Z","submitted_at":"2026-08-09T06:17:41Z","title":"Time Present and Time Past: Benchmarking Large Language Models on Temporally Evolving Document Understanding","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-14T04:39:32.066386Z"},"links":{"citing_paper":"/paper/2608.08512"},"observation_digest":"sha256:0e2f3e1679e84b03af27521b5ad5bce605797da5fdba10866041029ba3e585d7","observation_id":"af0a7832-82f0-486c-8a6f-606a21bdafaa","resolution":{"observed_at":"2026-08-14T04:39:32.544124Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-14T04:39:32.504038Z","title":"Do not use your own knowledge or opinion to second-guess it","venue":null,"work_id":"0451bb95-b8ba-4c36-ad3b-083d06275284","year":null},"citing_paper":{"arxiv_id":"2608.08512","last_updated":"2026-08-09T06:17:41Z","snapshot_observed_at":"2026-08-20T13:20:38.994133Z","submitted_at":"2026-08-09T06:17:41Z","title":"Time Present and Time Past: Benchmarking Large Language Models on Temporally Evolving Document Understanding","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-14T04:39:32.072518Z"},"links":{"citing_paper":"/paper/2608.08512"},"observation_digest":"sha256:44f67bb4afdb0098a47c4ecbee31ede402376ae0bebdeb3434073bc8b57b2e8d","observation_id":"41e263e3-785d-4819-9879-fb7c9691aba2","resolution":{"observed_at":"2026-08-14T04:39:32.518338Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-14T04:39:32.482234Z","title":"Decide ONLY whether the model answer commits to each of them; never introduce ground-truth dates of your own","venue":null,"work_id":"c6832193-264c-469b-81bc-4a1832390707","year":null},"citing_paper":{"arxiv_id":"2608.08512","last_updated":"2026-08-09T06:17:41Z","snapshot_observed_at":"2026-08-20T13:20:38.994133Z","submitted_at":"2026-08-09T06:17:41Z","title":"Time Present and Time Past: Benchmarking Large Language Models on Temporally Evolving Document Understanding","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-14T04:39:32.077757Z"},"links":{"citing_paper":"/paper/2608.08512"},"observation_digest":"sha256:97e2e8e540bba57082f81be81d796d3123e135a97484fc68c8c0ba894723405f","observation_id":"50863346-1704-4a80-b6ea-6e68fbac3889","resolution":{"observed_at":"2026-08-14T04:39:32.486731Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-14T04:39:32.467134Z","title":"9 June 2011","venue":null,"work_id":"12add260-e8fd-4e43-bb77-1afb220e27b5","year":2011},"citing_paper":{"arxiv_id":"2608.08512","last_updated":"2026-08-09T06:17:41Z","snapshot_observed_at":"2026-08-20T13:20:38.994133Z","submitted_at":"2026-08-09T06:17:41Z","title":"Time Present and Time Past: Benchmarking Large Language Models on Temporally Evolving Document Understanding","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-14T04:39:32.082756Z"},"links":{"citing_paper":"/paper/2608.08512"},"observation_digest":"sha256:69534be046b0f321fb6221eb599e73bd5eaba410bab09d677ee1b075097eaf65","observation_id":"0f6d49c6-6239-4a26-bf41-2ee1cc8e2518","resolution":{"observed_at":"2026-08-14T04:39:32.471360Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-14T04:39:32.451035Z","title":"Extra dates about other facts that do not conflict with the ground truth are NOT contradictions","venue":null,"work_id":"1fe062f2-8f07-49ff-bc7f-9289e4a6bed2","year":null},"citing_paper":{"arxiv_id":"2608.08512","last_updated":"2026-08-09T06:17:41Z","snapshot_observed_at":"2026-08-20T13:20:38.994133Z","submitted_at":"2026-08-09T06:17:41Z","title":"Time Present and Time Past: Benchmarking Large Language Models on Temporally Evolving Document Understanding","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-14T04:39:32.087780Z"},"links":{"citing_paper":"/paper/2608.08512"},"observation_digest":"sha256:94f06110231296ffbcb6f13f9cf39e518c983a583324b3a59eca50898ff8fe25","observation_id":"ba4a86e2-cf1f-434c-8e2a-73b97fed8442","resolution":{"observed_at":"2026-08-14T04:39:32.456009Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-14T04:39:32.433035Z","title":"raised to 15%","venue":null,"work_id":"78e30e73-1c3c-46f0-bd84-c6d10f3bfd1e","year":null},"citing_paper":{"arxiv_id":"2608.08512","last_updated":"2026-08-09T06:17:41Z","snapshot_observed_at":"2026-08-20T13:20:38.994133Z","submitted_at":"2026-08-09T06:17:41Z","title":"Time Present and Time Past: Benchmarking Large Language Models on Temporally Evolving Document Understanding","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-14T04:39:32.092755Z"},"links":{"citing_paper":"/paper/2608.08512"},"observation_digest":"sha256:7b7a518ba377fd658cf4720d22c8ec7d7da4325eaf18359500a826ccce11d784","observation_id":"e08c2111-f012-4648-acc5-46710a1a8271","resolution":{"observed_at":"2026-08-14T04:39:32.440227Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-14T04:39:32.406378Z","title":"Documented conflict for this item: {conflict}","venue":null,"work_id":"03cfe0e9-d897-42b3-bba7-4cb8206b236e","year":null},"citing_paper":{"arxiv_id":"2608.08512","last_updated":"2026-08-09T06:17:41Z","snapshot_observed_at":"2026-08-20T13:20:38.994133Z","submitted_at":"2026-08-09T06:17:41Z","title":"Time Present and Time Past: Benchmarking Large Language Models on Temporally Evolving Document Understanding","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-14T04:39:32.107597Z"},"links":{"citing_paper":"/paper/2608.08512"},"observation_digest":"sha256:d4ca944fba9afc07098b9533a0e737b9240bee189b638643d74333da9b02b063","observation_id":"05b63aab-b472-476e-a54b-7390ffa82684","resolution":{"observed_at":"2026-08-14T04:39:32.416895Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"1578.1575","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T04:39:32.332111Z","title":"{source_span}","venue":null,"work_id":"2d2e4189-360c-4598-8fbf-a99f29f75e37","year":2011},"citing_paper":{"arxiv_id":"2608.08512","last_updated":"2026-08-09T06:17:41Z","snapshot_observed_at":"2026-08-20T13:20:38.994133Z","submitted_at":"2026-08-09T06:17:41Z","title":"Time Present and Time Past: Benchmarking Large Language Models on Temporally Evolving Document Understanding","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-14T04:39:32.113480Z"},"links":{"citing_paper":"/paper/2608.08512"},"observation_digest":"sha256:fea1dc5547e8a57d4be920af3b2997625cba1951b0f58c0b2763ab5665770ea0","observation_id":"c09cb58b-1019-4674-8bc5-0aa35b2e1fa9","resolution":{"observed_at":"2026-08-14T04:39:32.341347Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-14T04:39:32.947230Z","title":null,"venue":null,"work_id":"a80f15f7-efb2-447e-87f3-9405f7c87fbf","year":1969},"citing_paper":{"arxiv_id":"2608.08512","last_updated":"2026-08-09T06:17:41Z","snapshot_observed_at":"2026-08-20T13:20:38.994133Z","submitted_at":"2026-08-09T06:17:41Z","title":"Time Present and Time Past: Benchmarking Large Language Models on Temporally Evolving Document Understanding","version":1},"reference_index":2000,"source":"pdf_text","source_observed_at":"2026-08-14T04:39:31.922602Z"},"links":{"citing_paper":"/paper/2608.08512"},"observation_digest":"sha256:5effb445d1ca4f810a82d4097546032715c8614b3db5b0249aa8614924ae4ed2","observation_id":"48a818ee-6780-4ef1-93b3-47010672f131","resolution":{"observed_at":"2026-08-14T04:39:32.951812Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.12958","last_updated":"2024-09-17T17:25:40Z","snapshot_observed_at":"2026-08-18T20:48:08.567547Z","submitted_at":"2024-03-19T17:57:58Z","title":"Dated Data: Tracing Knowledge Cutoffs in Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.12958","snapshot_observed_at":"2026-08-14T04:39:31.900307Z","title":"Zheng Chu, Jingchang Chen, Qianglong Chen, Weijiang Yu, Haotian Wang, Ming Liu, and Bing Qin","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.08512","last_updated":"2026-08-09T06:17:41Z","snapshot_observed_at":"2026-08-20T13:20:38.994133Z","submitted_at":"2026-08-09T06:17:41Z","title":"Time Present and Time Past: Benchmarking Large Language Models on Temporally Evolving Document Understanding","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-14T04:39:31.900307Z"},"links":{"cited_paper":"/paper/2403.12958","citing_paper":"/paper/2608.08512"},"observation_digest":"sha256:49c4bcbf3f43ad27f73e7c89d0d95f5a92306e7a34aed3c2d110281a16f19f2d","observation_id":"e4987ddc-6dc9-4252-9b81-67145138d5b2","resolution":{"observed_at":"2026-08-14T04:39:31.900307Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.09388","last_updated":"2025-05-14T13:41:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-05-14T13:41:34Z","title":"Qwen3 Technical Report","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.09388","snapshot_observed_at":"2026-08-14T04:39:31.914163Z","title":"Siyue Zhang, Yuxiang Xue, Yiming Zhang, Xiaobao Wu, Anh Tuan Luu, and Chen Zhao","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.08512","last_updated":"2026-08-09T06:17:41Z","snapshot_observed_at":"2026-08-20T13:20:38.994133Z","submitted_at":"2026-08-09T06:17:41Z","title":"Time Present and Time Past: Benchmarking Large Language Models on Temporally Evolving Document Understanding","version":1},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-14T04:39:31.914163Z"},"links":{"cited_paper":"/paper/2505.09388","citing_paper":"/paper/2608.08512"},"observation_digest":"sha256:ce013a8db45727d2b19f1d98bd5ab33d86ab28bf21e030c2349132b644305430","observation_id":"03e6d6b5-084f-441c-b038-5929ce838398","resolution":{"observed_at":"2026-08-14T04:39:31.914163Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2608.08512","last_updated":"2026-08-09T06:17:41Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-20T13:20:38.994133Z","submitted_at":"2026-08-09T06:17:41Z","title":"Time Present and Time Past: Benchmarking Large Language Models on Temporally Evolving Document Understanding"},"reference_resolution":{"displayed":31,"state_counts":{"malformed_identifier":2,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":18,"verified_exact":0,"verified_fuzzy":11},"total_outbound_references":31},"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":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2608.08512."}