{"as_of":"2026-08-09T17:22:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:cf69bb00e23df56d9466e1c7750d41d61d57ff586dd91404bc8756c7010ec7b4","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":"2026-08-09T06:31:02.800959+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":"2026-08-07T15:13:43.958248Z","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":"2026-07-03T23:39:05.003014Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2210.12530","last_updated":"2022-10-22T19:09:18Z","snapshot_observed_at":"2026-07-06T14:09:09.407591Z","submitted_at":"2022-10-22T19:09:18Z","title":"LMPriors: Pre-Trained Language Models as Task-Specific Priors","version":1},"cited_work":{"arxiv_id":"2210.12530","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2210.12530","snapshot_observed_at":"2026-07-03T23:39:05.003014Z","title":"Lmpriors: Pre-trained language models as task-specific priors.arXiv preprint arXiv: 2210.12530","venue":null,"work_id":"0226a6f2-dd5c-406d-b75a-a3de0ba7f7bd","year":2022},"citing_paper":{"arxiv_id":"2402.01207","last_updated":"2026-04-02T21:08:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-02-02T08:25:32Z","title":"Efficient Causal Graph Discovery Using Large Language Models","version":5},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-24T04:10:17.251713Z"},"links":{"cited_paper":"/paper/2210.12530","citing_paper":"/paper/2402.01207"},"observation_digest":"sha256:7e783a66811c88026a10b0376f06d7c94204a5ee73ca3149c2a810f911e16ab5","observation_id":"884ef64a-cde5-4357-9bd1-0c2776ebdc3d","resolution":{"observed_at":"2026-05-09T04:25:28.663433Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.12530","last_updated":"2022-10-22T19:09:18Z","snapshot_observed_at":"2026-07-06T14:09:09.407591Z","submitted_at":"2022-10-22T19:09:18Z","title":"LMPriors: Pre-Trained Language Models as Task-Specific Priors","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.12530","snapshot_observed_at":"2026-08-07T15:13:43.958248Z","title":"Lmpriors: Pre-trained language models as task-specific priors","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.15793","last_updated":"2025-05-22T04:48:12Z","snapshot_observed_at":"2026-08-09T06:40:36.946957Z","submitted_at":"2025-05-21T17:47:24Z","title":"HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-07T15:13:43.958248Z"},"links":{"cited_paper":"/paper/2210.12530","citing_paper":"/paper/2505.15793"},"observation_digest":"sha256:56e2ba3cc51550c656345ee778c1c4116d11b0f865edcab4b319f239a6d22732","observation_id":"e940e4c9-cec3-478d-ae1a-6dbb6b0c12ed","resolution":{"observed_at":"2026-08-07T15:13:43.958248Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.12530","last_updated":"2022-10-22T19:09:18Z","snapshot_observed_at":"2026-07-06T14:09:09.407591Z","submitted_at":"2022-10-22T19:09:18Z","title":"LMPriors: Pre-Trained Language Models as Task-Specific Priors","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.12530","snapshot_observed_at":"2026-08-07T11:09:26.480818Z","title":"Lmpriors: Pre-trained language models as task-specific priors.arXiv preprint arXiv:2210.12530, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.03444","last_updated":"2025-06-03T22:54:59Z","snapshot_observed_at":"2026-08-07T11:00:36.204010Z","submitted_at":"2025-06-03T22:54:59Z","title":"Exploiting LLMs for Automatic Hypothesis Assessment via a Logit-Based Calibrated Prior","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T11:09:26.480818Z"},"links":{"cited_paper":"/paper/2210.12530","citing_paper":"/paper/2506.03444"},"observation_digest":"sha256:2a1c705cbc39352c3b9aa43d5379ffc165002584336ceb5ae8f83d13461fe0e6","observation_id":"5455087d-2fb9-4e0b-916e-ece31bcb3be4","resolution":{"observed_at":"2026-08-07T11:09:26.480818Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.12530","last_updated":"2022-10-22T19:09:18Z","snapshot_observed_at":"2026-07-06T14:09:09.407591Z","submitted_at":"2022-10-22T19:09:18Z","title":"LMPriors: Pre-Trained Language Models as Task-Specific Priors","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.12530","snapshot_observed_at":"2026-08-05T13:04:43.261690Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.00987","last_updated":"2025-08-31T20:48:31Z","snapshot_observed_at":"2026-08-07T13:03:33.748198Z","submitted_at":"2025-08-31T20:48:31Z","title":"Causal MAS: A Survey of Large Language Model Architectures for Discovery and Effect Estimation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-05T13:04:43.261690Z"},"links":{"cited_paper":"/paper/2210.12530","citing_paper":"/paper/2509.00987"},"observation_digest":"sha256:d2fbf26910269f978d72ae35c8861c3cd24385ae7c674ab41b34aca4071ce793","observation_id":"10fc7221-2fc0-43bc-8548-251379c6a06d","resolution":{"observed_at":"2026-08-05T13:04:43.261690Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.12530","last_updated":"2022-10-22T19:09:18Z","snapshot_observed_at":"2026-07-06T14:09:09.407591Z","submitted_at":"2022-10-22T19:09:18Z","title":"LMPriors: Pre-Trained Language Models as Task-Specific Priors","version":1},"cited_work":{"arxiv_id":"2210.12530","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2210.12530","snapshot_observed_at":"2026-07-03T23:39:05.003014Z","title":"Lmpriors: Pre-trained language models as task-specific priors.arXiv preprint arXiv: 2210.12530","venue":null,"work_id":"0226a6f2-dd5c-406d-b75a-a3de0ba7f7bd","year":2022},"citing_paper":{"arxiv_id":"2605.27281","last_updated":"2026-05-26T16:58:39Z","snapshot_observed_at":"2026-07-06T23:37:02.891611Z","submitted_at":"2026-05-26T16:58:39Z","title":"Causal Risk Minimization for High-Dimensional Treatments","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-06-29T18:11:51.229208Z"},"links":{"cited_paper":"/paper/2210.12530","citing_paper":"/paper/2605.27281"},"observation_digest":"sha256:f14a89c78d7572fc57bb9bbc9dbd9faf82f137a9969304e145038acaf11975b8","observation_id":"7402f224-8afe-485d-b082-31282be98471","resolution":{"observed_at":"2026-06-29T18:13:48.464589Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.12530","last_updated":"2022-10-22T19:09:18Z","snapshot_observed_at":"2026-07-06T14:09:09.407591Z","submitted_at":"2022-10-22T19:09:18Z","title":"LMPriors: Pre-Trained Language Models as Task-Specific Priors","version":1},"cited_work":{"arxiv_id":"2210.12530","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2210.12530","snapshot_observed_at":"2026-07-03T23:39:05.003014Z","title":"Lmpriors: Pre-trained language models as task-specific priors.arXiv preprint arXiv: 2210.12530","venue":null,"work_id":"0226a6f2-dd5c-406d-b75a-a3de0ba7f7bd","year":2022},"citing_paper":{"arxiv_id":"2606.18812","last_updated":"2026-06-18T16:24:52Z","snapshot_observed_at":"2026-08-09T01:47:10.681363Z","submitted_at":"2026-06-17T08:27:27Z","title":"Reinforcement Learning Foundation Models Should Already Be A Thing","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-26T21:50:00.974590Z"},"links":{"cited_paper":"/paper/2210.12530","citing_paper":"/paper/2606.18812"},"observation_digest":"sha256:f33f2e428eb96ad48b66b154a44b1b56ef4c10120b497d7efe37f6794e80b22b","observation_id":"7b50fd03-0297-4564-bf56-037495f0dd5f","resolution":{"observed_at":"2026-07-03T23:39:05.006508Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.12530","last_updated":"2022-10-22T19:09:18Z","snapshot_observed_at":"2026-07-06T14:09:09.407591Z","submitted_at":"2022-10-22T19:09:18Z","title":"LMPriors: Pre-Trained Language Models as Task-Specific Priors","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.12530","snapshot_observed_at":"2026-07-31T23:53:01.366526Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.23304","last_updated":"2026-07-25T17:33:35Z","snapshot_observed_at":"2026-08-08T17:16:16.274947Z","submitted_at":"2026-07-25T17:33:35Z","title":"Context-Adaptive Inference: A Unified Statistical and Foundation-Model View","version":1},"reference_index":247,"source":"pdf_text","source_observed_at":"2026-07-31T23:53:01.366526Z"},"links":{"cited_paper":"/paper/2210.12530","citing_paper":"/paper/2607.23304"},"observation_digest":"sha256:03decee96455eb20e808258012501e89179d81cddb8d92a0fdc098269296a73f","observation_id":"e2becd66-9d21-4d28-a0ce-b1970ba59be7","resolution":{"observed_at":"2026-07-31T23:53:01.366526Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2210.12530/citation-record","integrity":"/paper/2210.12530/integrity","json":"/paper/2210.12530/citation-record.json","paper":"/paper/2210.12530"},"outbound":[],"paper":{"arxiv_id":"2210.12530","last_updated":"2022-10-22T19:09:18Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T14:09:09.407591Z","submitted_at":"2022-10-22T19:09:18Z","title":"LMPriors: Pre-Trained Language Models as Task-Specific Priors"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2210.12530."}