{"as_of":"2026-08-08T08:27:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8f9e0c26d903940519718a310c1cfd77addd00d2686e40371057b81a8a047325","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":7,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":7,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":7,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":7,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T20:42:30.473303Z","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":"2026-05-19T07:47:10.427544Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2206.00826","last_updated":"2022-06-02T01:54:58Z","snapshot_observed_at":"2026-08-05T23:54:54.292058Z","submitted_at":"2022-06-02T01:54:58Z","title":"BayesFormer: Transformer with Uncertainty Estimation","version":1},"cited_work":{"arxiv_id":"2206.00826","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2206.00826","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"BayesFormer: A trustworthy bayesian inference framework for large language models","venue":null,"work_id":"3ad9c535-c855-497f-b60d-b73b61b86147","year":2022},"citing_paper":{"arxiv_id":"2506.22809","last_updated":"2026-05-12T03:39:44Z","snapshot_observed_at":"2026-07-06T21:49:03.859335Z","submitted_at":"2025-06-28T08:22:02Z","title":"Learning Adapter Rank via Symmetry Breaking","version":4},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-19T07:43:15.179428Z"},"links":{"cited_paper":"/paper/2206.00826","citing_paper":"/paper/2506.22809"},"observation_digest":"sha256:619f58bee5137bf4dcd57febd35780c1518721cc5fea55c61ee08ea52941e411","observation_id":"819a0b02-7c4e-450b-9d68-732f518fb0d3","resolution":{"observed_at":"2026-05-19T07:47:10.429900Z","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":"2206.00826","last_updated":"2022-06-02T01:54:58Z","snapshot_observed_at":"2026-08-05T23:54:54.292058Z","submitted_at":"2022-06-02T01:54:58Z","title":"BayesFormer: Transformer with Uncertainty Estimation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.00826","snapshot_observed_at":"2026-08-06T20:42:30.473303Z","title":"Bayesformer: Transformer with uncertainty estimation","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.02092","last_updated":"2025-07-02T19:17:29Z","snapshot_observed_at":"2026-08-08T04:36:50.019846Z","submitted_at":"2025-07-02T19:17:29Z","title":"Energy-Based Transformers are Scalable Learners and Thinkers","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T20:42:30.473303Z"},"links":{"cited_paper":"/paper/2206.00826","citing_paper":"/paper/2507.02092"},"observation_digest":"sha256:c9959832e8ff702eeea79e0bc33b76a0529af1f36183e955cd334848b54607f9","observation_id":"e9a59b09-e2c4-44b6-b889-5a11f9de70cc","resolution":{"observed_at":"2026-08-06T20:42:30.473303Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.00826","last_updated":"2022-06-02T01:54:58Z","snapshot_observed_at":"2026-08-05T23:54:54.292058Z","submitted_at":"2022-06-02T01:54:58Z","title":"BayesFormer: Transformer with Uncertainty Estimation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.00826","snapshot_observed_at":"2026-08-03T07:14:27.198934Z","title":"A., Wang, S., and Fang, H","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2601.21003","last_updated":"2026-07-25T01:23:26Z","snapshot_observed_at":"2026-08-03T07:14:06.938112Z","submitted_at":"2026-01-28T19:54:31Z","title":"Bayesian-LoRA: Probabilistic Low-Rank Adaptation of Large Language Models","version":3},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-03T07:14:27.198934Z"},"links":{"cited_paper":"/paper/2206.00826","citing_paper":"/paper/2601.21003"},"observation_digest":"sha256:c1f2b40adbf1fb3fcf7c8b254c6e69fabeea367bb7b08d7a003c192f5a8e145b","observation_id":"35025691-87fd-41df-bb48-9fa5b390d053","resolution":{"observed_at":"2026-08-03T07:14:27.198934Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.00826","last_updated":"2022-06-02T01:54:58Z","snapshot_observed_at":"2026-08-05T23:54:54.292058Z","submitted_at":"2022-06-02T01:54:58Z","title":"BayesFormer: Transformer with Uncertainty Estimation","version":1},"cited_work":{"arxiv_id":"2206.00826","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2206.00826","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"BayesFormer: A trustworthy bayesian inference framework for large language models","venue":null,"work_id":"3ad9c535-c855-497f-b60d-b73b61b86147","year":2022},"citing_paper":{"arxiv_id":"2604.12513","last_updated":"2026-04-14T09:47:53Z","snapshot_observed_at":"2026-07-06T23:00:41.835763Z","submitted_at":"2026-04-14T09:47:53Z","title":"Agentic Control in Variational Language Models","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-10T15:00:12.848199Z"},"links":{"cited_paper":"/paper/2206.00826","citing_paper":"/paper/2604.12513"},"observation_digest":"sha256:3936dc02db869c0fa8dbd8b768c8eea708e339bdf0481ff2ff308c71113a261d","observation_id":"4f67f94e-1dbb-4b36-be4c-f980b3fd2ebd","resolution":{"observed_at":"2026-05-11T11:21:02.827900Z","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":"2206.00826","last_updated":"2022-06-02T01:54:58Z","snapshot_observed_at":"2026-08-05T23:54:54.292058Z","submitted_at":"2022-06-02T01:54:58Z","title":"BayesFormer: Transformer with Uncertainty Estimation","version":1},"cited_work":{"arxiv_id":"2206.00826","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2206.00826","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"BayesFormer: A trustworthy bayesian inference framework for large language models","venue":null,"work_id":"3ad9c535-c855-497f-b60d-b73b61b86147","year":2022},"citing_paper":{"arxiv_id":"2605.03614","last_updated":"2026-05-05T10:40:16Z","snapshot_observed_at":"2026-08-02T23:30:23.885070Z","submitted_at":"2026-05-05T10:40:16Z","title":"Uncertainty Estimation in Instance Segmentation of Affordances via Bayesian Visual Transformers","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-05-07T17:57:56.570383Z"},"links":{"cited_paper":"/paper/2206.00826","citing_paper":"/paper/2605.03614"},"observation_digest":"sha256:e917f67ef1cded3a33a1ebb92d289d03c5d458decc10eac619aede808d183379","observation_id":"f232f785-3faa-40b2-b017-0f6184598f7e","resolution":{"observed_at":"2026-05-12T11:01:31.651692Z","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":"2206.00826","last_updated":"2022-06-02T01:54:58Z","snapshot_observed_at":"2026-08-05T23:54:54.292058Z","submitted_at":"2022-06-02T01:54:58Z","title":"BayesFormer: Transformer with Uncertainty Estimation","version":1},"cited_work":{"arxiv_id":"2206.00826","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2206.00826","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"BayesFormer: A trustworthy bayesian inference framework for large language models","venue":null,"work_id":"3ad9c535-c855-497f-b60d-b73b61b86147","year":2022},"citing_paper":{"arxiv_id":"2605.11007","last_updated":"2026-08-02T03:28:25Z","snapshot_observed_at":"2026-08-06T23:24:39.977969Z","submitted_at":"2026-05-10T08:14:14Z","title":"The Transformer as a Polar State Estimator","version":1},"reference_index":90,"source":"arxiv_source","source_observed_at":"2026-05-13T00:58:28.483037Z"},"links":{"cited_paper":"/paper/2206.00826","citing_paper":"/paper/2605.11007"},"observation_digest":"sha256:5513b0e6c8a0e5b56d84da7125e8891823a512aa4d2b6b33f6cbf7ee23969509","observation_id":"d79ef947-ce93-43d6-8a11-6f5888a404e7","resolution":{"observed_at":"2026-05-13T02:17:07.602230Z","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":"2206.00826","last_updated":"2022-06-02T01:54:58Z","snapshot_observed_at":"2026-08-05T23:54:54.292058Z","submitted_at":"2022-06-02T01:54:58Z","title":"BayesFormer: Transformer with Uncertainty Estimation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.00826","snapshot_observed_at":"2026-08-01T10:22:41.345109Z","title":"Bayesformer: Transformer with uncertainty estimation.arXiv preprint arXiv:2206.00826, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.20286","last_updated":"2026-07-22T15:31:28Z","snapshot_observed_at":"2026-08-06T17:18:55.940534Z","submitted_at":"2026-07-22T15:31:28Z","title":"Sound Probabilistic Safety Bounds for Large Language Models","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-01T10:22:41.345109Z"},"links":{"cited_paper":"/paper/2206.00826","citing_paper":"/paper/2607.20286"},"observation_digest":"sha256:4b966151d57c1a7e11299a3e325b2ee3f9a34914c3ae9fff2906870414fcf5e5","observation_id":"b2e88fe3-6821-44d7-8fb1-dec780cb43ce","resolution":{"observed_at":"2026-08-01T10:22:41.345109Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2206.00826/citation-record","integrity":"/paper/2206.00826/integrity","json":"/paper/2206.00826/citation-record.json","paper":"/paper/2206.00826"},"outbound":[],"paper":{"arxiv_id":"2206.00826","last_updated":"2022-06-02T01:54:58Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-05T23:54:54.292058Z","submitted_at":"2022-06-02T01:54:58Z","title":"BayesFormer: Transformer with Uncertainty Estimation"},"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 7 inbound Pith citation observations for arXiv:2206.00826."}