{"as_of":"2026-08-08T03:37:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:69175e0d2da90f7a0dc372b354edf20a455cb58c2bc52f6f6de14ff4a40c6ca1","coverage":[{"denominator":30,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":30,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T13:04:43.355319Z","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":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T08:16:48.512809Z","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":[{"citation":{"cited_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},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2509.00987","snapshot_observed_at":"2026-08-01T08:16:48.512809Z","title":"Causal mas: A survey of large language model architectures for discovery and effect estimation, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21173","last_updated":"2026-07-23T10:59:16Z","snapshot_observed_at":"2026-08-06T19:33:07.012780Z","submitted_at":"2026-07-23T10:59:16Z","title":"Automated Synthesis and Adversarial Validation of Executable Causal Research Pipelines","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-01T08:16:48.512809Z"},"links":{"cited_paper":"/paper/2509.00987","citing_paper":"/paper/2607.21173"},"observation_digest":"sha256:5ad011d00a051e4a9476c99c4c71cfd67cfdeab6dd9d437704cd6334df489f6b","observation_id":"6b9c58dc-68a8-4bdd-8f84-84ee9461af51","resolution":{"observed_at":"2026-08-01T08:16:48.512809Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2509.00987/citation-record","integrity":"/paper/2509.00987/integrity","json":"/paper/2509.00987/citation-record.json","paper":"/paper/2509.00987"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2407.15073","last_updated":"2026-05-26T11:54:36Z","snapshot_observed_at":"2026-07-06T18:49:38.316515Z","submitted_at":"2024-07-21T06:21:47Z","title":"Multi-Agent Causal Discovery Using Large Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.15073","snapshot_observed_at":"2026-08-05T13:04:43.253180Z","title":"D., Xia, X., & Chen, Z","venue":null,"work_id":null,"year":2025},"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":1,"source":"pdf_text","source_observed_at":"2026-08-05T13:04:43.253180Z"},"links":{"cited_paper":"/paper/2407.15073","citing_paper":"/paper/2509.00987"},"observation_digest":"sha256:d451e5baac9924b2eaf80913e15c42a4be0c1ab5d88a9689e54886b46a01dfbc","observation_id":"2e9a0968-7d5a-4dd3-8ce8-00eb8560668a","resolution":{"observed_at":"2026-08-05T13:04:43.253180Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.00050","last_updated":"2024-08-20T17:16:20Z","snapshot_observed_at":"2026-07-06T15:21:19.790554Z","submitted_at":"2023-04-28T19:00:43Z","title":"Causal Reasoning and Large Language Models: Opening a New Frontier for Causality","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.00050","snapshot_observed_at":"2026-08-05T13:04:43.257549Z","title":null,"venue":null,"work_id":null,"year":2023},"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":2,"source":"pdf_text","source_observed_at":"2026-08-05T13:04:43.257549Z"},"links":{"cited_paper":"/paper/2305.00050","citing_paper":"/paper/2509.00987"},"observation_digest":"sha256:edadda077a6542be73c2db0ff6e92c2df8e7543cd352d08c44fe6bb4bb104db9","observation_id":"05e7ac63-1469-4e60-b324-6d666658a3d3","resolution":{"observed_at":"2026-08-05T13:04:43.257549Z","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":"2303.05279","last_updated":"2024-02-23T14:40:15Z","snapshot_observed_at":"2026-08-01T14:53:11.252146Z","submitted_at":"2023-03-07T22:05:31Z","title":"Can large language models build causal graphs?","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.05279","snapshot_observed_at":"2026-08-05T13:04:43.265774Z","title":null,"venue":null,"work_id":null,"year":2024},"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":4,"source":"pdf_text","source_observed_at":"2026-08-05T13:04:43.265774Z"},"links":{"cited_paper":"/paper/2303.05279","citing_paper":"/paper/2509.00987"},"observation_digest":"sha256:74f8c37a8100e2a17cde5797e248305f4914cc9a880eea00d20550e16c4fdf1d","observation_id":"aa5aab83-fedf-4e33-acd9-d1274527b4f4","resolution":{"observed_at":"2026-08-05T13:04:43.265774Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.00622","last_updated":"2024-05-01T16:43:21Z","snapshot_observed_at":"2026-07-31T00:42:31.822192Z","submitted_at":"2024-05-01T16:43:21Z","title":"Causal Evaluation of Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.00622","snapshot_observed_at":"2026-08-05T13:04:43.269771Z","title":null,"venue":null,"work_id":null,"year":null},"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":5,"source":"pdf_text","source_observed_at":"2026-08-05T13:04:43.269771Z"},"links":{"cited_paper":"/paper/2405.00622","citing_paper":"/paper/2509.00987"},"observation_digest":"sha256:37eb231082a5931d8fdd7e6c9cbabc4e59b890ba807208530a7d683a1fc77b78","observation_id":"d6d26c07-ed74-4afe-bae4-58a3ebbb503f","resolution":{"observed_at":"2026-08-05T13:04:43.269771Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:04:43.273712Z","title":null,"venue":null,"work_id":null,"year":2024},"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":6,"source":"pdf_text","source_observed_at":"2026-08-05T13:04:43.273712Z"},"links":{"citing_paper":"/paper/2509.00987"},"observation_digest":"sha256:d308554229234a84d8363ff276abfefad600832f406837dc53598448a2e04b7d","observation_id":"ca20d2dc-3534-4c29-94c4-53665f2c53e1","resolution":{"observed_at":"2026-08-05T13:04:43.273712Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:04:43.277272Z","title":null,"venue":null,"work_id":null,"year":2024},"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":7,"source":"pdf_text","source_observed_at":"2026-08-05T13:04:43.277272Z"},"links":{"citing_paper":"/paper/2509.00987"},"observation_digest":"sha256:4fe13adb3b2a9fb2e3da77439cd3bedc78489c5c7f8bfe689a2e989d8aeb1928","observation_id":"2dced087-82bf-4231-9311-72fce98ee813","resolution":{"observed_at":"2026-08-05T13:04:43.277272Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:04:43.281063Z","title":null,"venue":null,"work_id":null,"year":2025},"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":8,"source":"pdf_text","source_observed_at":"2026-08-05T13:04:43.281063Z"},"links":{"citing_paper":"/paper/2509.00987"},"observation_digest":"sha256:91936e1896a610f4451496da7b1d8ba56779ea6b583d777bf90be3fe0cfc4c3f","observation_id":"d32c4ccc-90c5-455e-ad87-2f0df095814a","resolution":{"observed_at":"2026-08-05T13:04:43.281063Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.22194","last_updated":"2024-10-29T16:32:01Z","snapshot_observed_at":"2026-07-06T19:41:37.282089Z","submitted_at":"2024-10-29T16:32:01Z","title":"ADAM: An Embodied Causal Agent in Open-World Environments","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.22194","snapshot_observed_at":"2026-08-05T13:04:43.284329Z","title":null,"venue":null,"work_id":null,"year":2024},"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":9,"source":"pdf_text","source_observed_at":"2026-08-05T13:04:43.284329Z"},"links":{"cited_paper":"/paper/2410.22194","citing_paper":"/paper/2509.00987"},"observation_digest":"sha256:5460d8d27f1e3aafd8f8eb6aaf25b8c220ac25fc78124f6f8f6e5339a3a92a10","observation_id":"0f88a815-0a8d-4c96-9ae6-65cd0e9d61dc","resolution":{"observed_at":"2026-08-05T13:04:43.284329Z","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":"2026-08-05T13:04:43.984558Z","title":"C., Abdulaal, A., Hadjivasiliou, A., Ijishakin, A., Drobnjak, I., & Castro, D","venue":null,"work_id":"bb7da1e4-0ffa-4cad-be24-68cd02a90c3a","year":2024},"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":10,"source":"pdf_text","source_observed_at":"2026-08-05T13:04:43.287965Z"},"links":{"citing_paper":"/paper/2509.00987"},"observation_digest":"sha256:3a57471a7a1ab8d6b806b57407ba9d58ff360eb2d054188a5260484ff8abc0e5","observation_id":"d11b0f52-184e-495c-9f09-1ec781e2eca9","resolution":{"observed_at":"2026-08-05T13:04:43.988164Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.11914","last_updated":"2025-02-12T08:28:49Z","snapshot_observed_at":"2026-08-05T22:54:34.435485Z","submitted_at":"2023-08-23T04:59:21Z","title":"Towards CausalGPT: A Multi-Agent Approach for Faithful Knowledge Reasoning via Promoting Causal Consistency in LLMs","version":4},"cited_work":{"arxiv_id":"2308.11914","doi":null,"metadata_source":"pith","pith_arxiv_id":"2308.11914","snapshot_observed_at":"2026-08-05T13:04:43.520429Z","title":"Towards CausalGPT: A Multi-Agent Approach for Faithful Knowledge Reasoning via Promoting Causal Consistency in LLMs","venue":"cs.AI","work_id":"7cce914e-3c39-4fa4-97ff-ca331c9876eb","year":2023},"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":11,"source":"pdf_text","source_observed_at":"2026-08-05T13:04:43.291142Z"},"links":{"cited_paper":"/paper/2308.11914","citing_paper":"/paper/2509.00987"},"observation_digest":"sha256:05fb91bf21987ef105af2e226d48b1718195265a051eeb4e18593558a780c847","observation_id":"62b51f07-ccfe-4c29-93aa-d4ca46b534c9","resolution":{"observed_at":"2026-08-05T13:04:43.524450Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.13263","last_updated":"2025-04-21T17:58:08Z","snapshot_observed_at":"2026-08-07T16:01:20.607135Z","submitted_at":"2025-04-17T18:05:39Z","title":"Causal-Copilot: An Autonomous Causal Analysis Agent","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.13263","snapshot_observed_at":"2026-08-05T13:04:43.294831Z","title":"S., Jin, S., Philip, A., Patnaik, S., Zhu, H., Singh, S., Prashant, P., Shen, Q., & Huang, B","venue":null,"work_id":null,"year":2025},"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":12,"source":"pdf_text","source_observed_at":"2026-08-05T13:04:43.294831Z"},"links":{"cited_paper":"/paper/2504.13263","citing_paper":"/paper/2509.00987"},"observation_digest":"sha256:1eb3f060786bc90ff7b85ba6eb54801753a0dc79db03a65ae8e9afc952684a1a","observation_id":"5a808f25-72e6-451f-9be6-16a46aef8a15","resolution":{"observed_at":"2026-08-05T13:04:43.294831Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.21067","last_updated":"2024-10-28T14:29:11Z","snapshot_observed_at":"2026-08-05T22:54:40.932739Z","submitted_at":"2024-10-28T14:29:11Z","title":"CRAT: A Multi-Agent Framework for Causality-Enhanced Reflective and Retrieval-Augmented Translation with Large Language Models","version":1},"cited_work":{"arxiv_id":"2410.21067","doi":null,"metadata_source":"pith","pith_arxiv_id":"2410.21067","snapshot_observed_at":"2026-08-05T13:04:43.492539Z","title":"CRAT: A Multi-Agent Framework for Causality-Enhanced Reflective and Retrieval-Augmented Translation with Large Language Models","venue":"cs.CL","work_id":"65179076-93f4-48dd-96fb-a0a9aa157860","year":2024},"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":13,"source":"pdf_text","source_observed_at":"2026-08-05T13:04:43.298296Z"},"links":{"cited_paper":"/paper/2410.21067","citing_paper":"/paper/2509.00987"},"observation_digest":"sha256:54d7d2b366be73bdff5f2ad47cdfe7f7d7c8eb937b9ec10c51a8146e647d67c4","observation_id":"ca51c45a-f05e-4c10-9870-3b8eb70cbdb3","resolution":{"observed_at":"2026-08-05T13:04:43.496505Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T13:04:43.973858Z","title":null,"venue":null,"work_id":"edae38b6-d074-47de-be09-af846c0a3277","year":2009},"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":14,"source":"pdf_text","source_observed_at":"2026-08-05T13:04:43.301619Z"},"links":{"citing_paper":"/paper/2509.00987"},"observation_digest":"sha256:39d46c6e48532d6184ea27830674e7880ae7159229a443edd2d425cefb21b527","observation_id":"d309cbbc-5c22-4e20-8e1c-1dc63db4832d","resolution":{"observed_at":"2026-08-05T13:04:43.977178Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T13:04:43.962331Z","title":null,"venue":null,"work_id":"45f64982-93be-4a0b-ac98-f83498d864b4","year":2017},"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":15,"source":"pdf_text","source_observed_at":"2026-08-05T13:04:43.304850Z"},"links":{"citing_paper":"/paper/2509.00987"},"observation_digest":"sha256:37e589cccfd4807cd67290c741963437586b6b2886429843d64d0fdaed1b72e2","observation_id":"04bbf365-51e5-42b0-8bbf-8fa12bb694ad","resolution":{"observed_at":"2026-08-05T13:04:43.966378Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T13:04:43.950533Z","title":null,"venue":null,"work_id":"715c65d1-dfe7-4a40-ad22-a9fba776bdf6","year":2018},"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":16,"source":"pdf_text","source_observed_at":"2026-08-05T13:04:43.307990Z"},"links":{"citing_paper":"/paper/2509.00987"},"observation_digest":"sha256:1fda21508208fd1e2699a347b77d1cd8894debfab40aa1cd4876191434995991","observation_id":"78a794a6-39f8-494f-9442-52f5f1480143","resolution":{"observed_at":"2026-08-05T13:04:43.953860Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T13:04:43.938816Z","title":null,"venue":null,"work_id":"c710469b-d84c-432b-9713-02e2c8b222d8","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":17,"source":"pdf_text","source_observed_at":"2026-08-05T13:04:43.311095Z"},"links":{"citing_paper":"/paper/2509.00987"},"observation_digest":"sha256:2fedb0dee3e29f8dc105cd504c858caa468120060ceb9e66f368759929f2a0b7","observation_id":"0a14be92-9bed-42d1-ba74-a70efd216a7e","resolution":{"observed_at":"2026-08-05T13:04:43.942685Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T13:04:43.926608Z","title":null,"venue":null,"work_id":"4b879ce4-cf6d-405d-bbf1-9808fdf60345","year":2024},"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":18,"source":"pdf_text","source_observed_at":"2026-08-05T13:04:43.314404Z"},"links":{"citing_paper":"/paper/2509.00987"},"observation_digest":"sha256:cdf68f834f434673d7b3781f03268f3baf9434b2cb8e61337dab2dcabc2d419a","observation_id":"7f06195c-a7f6-4668-a9f9-066332330f29","resolution":{"observed_at":"2026-08-05T13:04:43.930212Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T13:04:43.915615Z","title":null,"venue":null,"work_id":"e130a0e9-25fd-4c9a-9135-b9f79177c114","year":2025},"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":19,"source":"pdf_text","source_observed_at":"2026-08-05T13:04:43.317568Z"},"links":{"citing_paper":"/paper/2509.00987"},"observation_digest":"sha256:759f6fab255260da89390f2ead5ae6e6639d83436445a3a4281522e8c6d822ad","observation_id":"86bc7cd5-2828-479c-989c-5531b86235b1","resolution":{"observed_at":"2026-08-05T13:04:43.918985Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.19923","last_updated":"2024-10-25T18:36:37Z","snapshot_observed_at":"2026-08-04T06:58:35.740935Z","submitted_at":"2024-10-25T18:36:37Z","title":"Language Agents Meet Causality -- Bridging LLMs and Causal World Models","version":1},"cited_work":{"arxiv_id":"2410.19923","doi":null,"metadata_source":"pith","pith_arxiv_id":"2410.19923","snapshot_observed_at":"2026-08-05T13:04:43.476288Z","title":"Language Agents Meet Causality -- Bridging LLMs and Causal World Models","venue":"cs.AI","work_id":"53bc896b-a5df-459c-bbea-5ed0d56d09d9","year":2024},"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":20,"source":"pdf_text","source_observed_at":"2026-08-05T13:04:43.321014Z"},"links":{"cited_paper":"/paper/2410.19923","citing_paper":"/paper/2509.00987"},"observation_digest":"sha256:3f5af84f9f6dd2b5822e97b794eaa58e7425058600d8e052b05e16ab3aaf4ecb","observation_id":"e745c994-f93f-4293-a360-f03473668ef3","resolution":{"observed_at":"2026-08-05T13:04:43.480246Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T13:04:43.904363Z","title":null,"venue":null,"work_id":"ad51a3de-3270-4f06-a6e3-a0b1242e66aa","year":2023},"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":21,"source":"pdf_text","source_observed_at":"2026-08-05T13:04:43.324339Z"},"links":{"citing_paper":"/paper/2509.00987"},"observation_digest":"sha256:5c62b9a91e93285c62a84a023fb345c9754b8afba97830e7c8b5408933578aa0","observation_id":"a5dae712-bff0-4c1e-bbc2-9c5511834a14","resolution":{"observed_at":"2026-08-05T13:04:43.907942Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T13:04:43.892935Z","title":null,"venue":null,"work_id":"666b9973-8be7-40aa-b7cb-c148bd52bceb","year":2023},"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":22,"source":"pdf_text","source_observed_at":"2026-08-05T13:04:43.327629Z"},"links":{"citing_paper":"/paper/2509.00987"},"observation_digest":"sha256:890336dd783f492825a796589b9dc7bd0cbdb5d29230f7a594755fcdfe1fc499","observation_id":"765f5277-2414-44c2-8f18-21e8586d68ad","resolution":{"observed_at":"2026-08-05T13:04:43.896493Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T13:04:43.881806Z","title":null,"venue":null,"work_id":"7ef5d120-eb84-44c4-9b83-e454f5b80925","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":23,"source":"pdf_text","source_observed_at":"2026-08-05T13:04:43.330855Z"},"links":{"citing_paper":"/paper/2509.00987"},"observation_digest":"sha256:a85d3c424f0144f0ee4476c4bb2424532b062874b70017cab740b52896ab4667","observation_id":"c38c35d8-3555-41ae-9dfd-24d96ec66b19","resolution":{"observed_at":"2026-08-05T13:04:43.885282Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17760","last_updated":"2023-11-02T17:34:57Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-31T01:09:00Z","title":"CAMEL: Communicative Agents for \"Mind\" Exploration of Large Language Model Society","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.17760","snapshot_observed_at":"2026-08-05T13:04:43.334207Z","title":null,"venue":null,"work_id":null,"year":2023},"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":24,"source":"pdf_text","source_observed_at":"2026-08-05T13:04:43.334207Z"},"links":{"cited_paper":"/paper/2303.17760","citing_paper":"/paper/2509.00987"},"observation_digest":"sha256:8609011ca13af9aa4345122aaca4a69041d253ade3206313537690e260db5dc7","observation_id":"5c41141a-321a-4e7c-8d9b-e66847fdf419","resolution":{"observed_at":"2026-08-05T13:04:43.334207Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-05T13:04:43.337839Z","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":25,"source":"pdf_text","source_observed_at":"2026-08-05T13:04:43.337839Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2509.00987"},"observation_digest":"sha256:ee34bb3d1d86b56db0f75537c77007ec9929c4c64d5da97de3a672837722ec73","observation_id":"f8f5c085-6af8-426e-8d83-3de160b28034","resolution":{"observed_at":"2026-08-05T13:04:43.337839Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.11514","last_updated":"2025-01-15T03:20:24Z","snapshot_observed_at":"2026-08-06T09:45:43.110436Z","submitted_at":"2024-06-17T13:21:23Z","title":"Counterfactual Debating with Preset Stances for Hallucination Elimination of LLMs","version":2},"cited_work":{"arxiv_id":"2406.11514","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.11514","snapshot_observed_at":"2026-08-05T13:04:43.435685Z","title":"Counterfactual Debating with Preset Stances for Hallucination Elimination of LLMs","venue":"cs.CL","work_id":"e2cbc74b-3cde-4a77-bdef-fccc1d97d6ab","year":2024},"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":26,"source":"pdf_text","source_observed_at":"2026-08-05T13:04:43.341441Z"},"links":{"cited_paper":"/paper/2406.11514","citing_paper":"/paper/2509.00987"},"observation_digest":"sha256:01de7164365ac003accb3f226fdb93ab0a19ae9796095df0334c31dfe5ccbaa2","observation_id":"8033a519-0c6c-464d-bc5b-48851c58d897","resolution":{"observed_at":"2026-08-05T13:04:43.439568Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.00134","last_updated":"2025-09-01T04:16:57Z","snapshot_observed_at":"2026-08-07T17:38:30.123844Z","submitted_at":"2025-02-28T19:25:04Z","title":"Personalized Causal Graph Reasoning for LLMs: An Implementation for Dietary Recommendations","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.00134","snapshot_observed_at":"2026-08-05T13:04:43.344893Z","title":null,"venue":null,"work_id":null,"year":2025},"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":27,"source":"pdf_text","source_observed_at":"2026-08-05T13:04:43.344893Z"},"links":{"cited_paper":"/paper/2503.00134","citing_paper":"/paper/2509.00987"},"observation_digest":"sha256:39b5e73e772ab7ef303c50b4a11434c3aa89d00b62a7acb7c3cbcbf7535c0932","observation_id":"39477b10-8de8-44ac-be93-52f570673f54","resolution":{"observed_at":"2026-08-05T13:04:43.344893Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.13667","last_updated":"2025-05-31T19:01:54Z","snapshot_observed_at":"2026-08-06T11:51:47.554399Z","submitted_at":"2024-12-18T09:50:00Z","title":"Exploring Multi-Modal Data with Tool-Augmented LLM Agents for Precise Causal Discovery","version":2},"cited_work":{"arxiv_id":"2412.13667","doi":null,"metadata_source":"pith","pith_arxiv_id":"2412.13667","snapshot_observed_at":"2026-08-05T13:04:43.405705Z","title":"Exploring Multi-Modal Data with Tool-Augmented LLM Agents for Precise Causal Discovery","venue":"cs.LG","work_id":"f2625126-70b9-4098-839c-b977bd2f12ab","year":2024},"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":28,"source":"pdf_text","source_observed_at":"2026-08-05T13:04:43.348550Z"},"links":{"cited_paper":"/paper/2412.13667","citing_paper":"/paper/2509.00987"},"observation_digest":"sha256:21f1ccb20bd619368413176268d66159c31f56ff17889b9e47810dace6104f77","observation_id":"1291893d-73b5-4331-812b-aecded8e8663","resolution":{"observed_at":"2026-08-05T13:04:43.411472Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.15355","last_updated":"2025-01-26T00:32:38Z","snapshot_observed_at":"2026-08-05T00:12:09.882417Z","submitted_at":"2025-01-26T00:32:38Z","title":"Large Language Models as Theory of Mind Aware Generative Agents with Counterfactual Reflection","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.15355","snapshot_observed_at":"2026-08-05T13:04:43.351967Z","title":null,"venue":null,"work_id":null,"year":2025},"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":29,"source":"pdf_text","source_observed_at":"2026-08-05T13:04:43.351967Z"},"links":{"cited_paper":"/paper/2501.15355","citing_paper":"/paper/2509.00987"},"observation_digest":"sha256:b5bd4ea4ab358eba6610fc8c87d10f4cd9d0f9f517b1c34cc5412005c9024e74","observation_id":"38655b00-183d-4d51-a982-1cc06aa4a2e3","resolution":{"observed_at":"2026-08-05T13:04:43.351967Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:04:43.355319Z","title":null,"venue":null,"work_id":null,"year":2025},"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":30,"source":"pdf_text","source_observed_at":"2026-08-05T13:04:43.355319Z"},"links":{"citing_paper":"/paper/2509.00987"},"observation_digest":"sha256:4fc4c33eb1c5574105fc73c5339963727e793b50c88bd8aee73ca7d1c797e27e","observation_id":"c403b4f5-c66b-4513-897b-ac4eed0c4fc1","resolution":{"observed_at":"2026-08-05T13:04:43.355319Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2509.00987","last_updated":"2025-08-31T20:48:31Z","latest_version":1,"primary_category":"cs.AI","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"},"reference_resolution":{"displayed":30,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":24,"verified_exact":5,"verified_fuzzy":1},"total_outbound_references":30},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 1 inbound Pith citation observation for arXiv:2509.00987."}