{"as_of":"2026-08-08T05:34:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ac5e942c3c92662f392781062e0990484d3e4165098b74f667eeb62879ed5795","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":15,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":15,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":15,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":15,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T12:34:40.589542Z","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":"2026-07-04T17:39:59.943916Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2311.07361","last_updated":"2023-12-08T06:30:12Z","snapshot_observed_at":"2026-08-06T14:59:24.918552Z","submitted_at":"2023-11-13T14:26:12Z","title":"The Impact of Large Language Models on Scientific Discovery: a Preliminary Study using GPT-4","version":2},"cited_work":{"arxiv_id":"2311.07361","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2311.07361","snapshot_observed_at":"2026-07-04T17:39:59.943916Z","title":"arXiv.org","venue":null,"work_id":"fbfcb538-accf-4b30-9e1a-4fa40a8c2841","year":2023},"citing_paper":{"arxiv_id":"2407.13059","last_updated":"2024-07-23T01:08:25Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-05-25T16:29:17Z","title":"Prioritizing High-Consequence Biological Capabilities in Evaluations of Artificial Intelligence Models","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-24T01:09:43.590660Z"},"links":{"cited_paper":"/paper/2311.07361","citing_paper":"/paper/2407.13059"},"observation_digest":"sha256:34699629ac9dcdd59b30d79b2e9382c42a9bb855f0e41443fe9b35b724a0e0ee","observation_id":"2421732e-db43-4f78-8ff7-f7451d870a66","resolution":{"observed_at":"2026-05-24T01:13:42.853639Z","resolver_source":"arxiv_id","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":"2311.07361","last_updated":"2023-12-08T06:30:12Z","snapshot_observed_at":"2026-08-06T14:59:24.918552Z","submitted_at":"2023-11-13T14:26:12Z","title":"The Impact of Large Language Models on Scientific Discovery: a Preliminary Study using GPT-4","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.07361","snapshot_observed_at":"2026-08-07T12:34:40.589542Z","title":"The impact of large lan- guage models on scientific discovery: a preliminary study using gpt-4","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.24302","last_updated":"2026-07-21T01:12:17Z","snapshot_observed_at":"2026-08-07T16:41:29.098287Z","submitted_at":"2025-05-30T07:28:20Z","title":"ScienceMeter: Tracking Scientific Knowledge Updates in Language Models","version":3},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T12:34:40.589542Z"},"links":{"cited_paper":"/paper/2311.07361","citing_paper":"/paper/2505.24302"},"observation_digest":"sha256:991dd1f01dbb74c832e7329017e089da309fdf9241381492ce1d6b4fbd697db1","observation_id":"1af571c4-4ecf-4024-92e9-1e46cd60c0a6","resolution":{"observed_at":"2026-08-07T12:34:40.589542Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.07361","last_updated":"2023-12-08T06:30:12Z","snapshot_observed_at":"2026-08-06T14:59:24.918552Z","submitted_at":"2023-11-13T14:26:12Z","title":"The Impact of Large Language Models on Scientific Discovery: a Preliminary Study using GPT-4","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.07361","snapshot_observed_at":"2026-08-07T12:24:15.383446Z","title":"The im- pact of large language models on scientific discovery: a preliminary study using gpt-4","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.24478","last_updated":"2025-05-30T11:27:59Z","snapshot_observed_at":"2026-08-07T20:20:57.223527Z","submitted_at":"2025-05-30T11:27:59Z","title":"Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T12:24:15.383446Z"},"links":{"cited_paper":"/paper/2311.07361","citing_paper":"/paper/2505.24478"},"observation_digest":"sha256:1461a265262d3dd91beab8ceace678771c765f0d88fdbf341a33d36c5463cafc","observation_id":"13b970ca-5ec4-4f1d-a599-47212dcd0e20","resolution":{"observed_at":"2026-08-07T12:24:15.383446Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.07361","last_updated":"2023-12-08T06:30:12Z","snapshot_observed_at":"2026-08-06T14:59:24.918552Z","submitted_at":"2023-11-13T14:26:12Z","title":"The Impact of Large Language Models on Scientific Discovery: a Preliminary Study using GPT-4","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.07361","snapshot_observed_at":"2026-08-05T14:21:45.043756Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.21512","last_updated":"2025-08-29T10:51:41Z","snapshot_observed_at":"2026-08-05T15:34:17.123669Z","submitted_at":"2025-08-29T10:51:41Z","title":"Accept or Deny? Evaluating LLM Fairness and Performance in Loan Approval across Table-to-Text Serialization Approaches","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-05T14:21:45.043756Z"},"links":{"cited_paper":"/paper/2311.07361","citing_paper":"/paper/2508.21512"},"observation_digest":"sha256:e3322884fa3eb8b46608bf3db0ab648fbb1d4561141046bf1d76b63052293ad8","observation_id":"88cbe539-6b39-4166-85bf-8a0d0af8d0e7","resolution":{"observed_at":"2026-08-05T14:21:45.043756Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.07361","last_updated":"2023-12-08T06:30:12Z","snapshot_observed_at":"2026-08-06T14:59:24.918552Z","submitted_at":"2023-11-13T14:26:12Z","title":"The Impact of Large Language Models on Scientific Discovery: a Preliminary Study using GPT-4","version":2},"cited_work":{"arxiv_id":"2311.07361","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2311.07361","snapshot_observed_at":"2026-07-04T17:39:59.943916Z","title":"arXiv.org","venue":null,"work_id":"fbfcb538-accf-4b30-9e1a-4fa40a8c2841","year":2023},"citing_paper":{"arxiv_id":"2510.06824","last_updated":"2026-05-20T14:19:31Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-10-08T09:48:11Z","title":"Efficient numeracy in language models through single-token number embeddings","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-21T21:09:02.731348Z"},"links":{"cited_paper":"/paper/2311.07361","citing_paper":"/paper/2510.06824"},"observation_digest":"sha256:dae3ccb0e53998d2bd7c291b6358b5ea198c2f0a67d17b12339b643af4797546","observation_id":"57506f3c-b1a3-4113-85da-20c7803123c5","resolution":{"observed_at":"2026-05-21T21:10:38.629746Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2311.07361","last_updated":"2023-12-08T06:30:12Z","snapshot_observed_at":"2026-08-06T14:59:24.918552Z","submitted_at":"2023-11-13T14:26:12Z","title":"The Impact of Large Language Models on Scientific Discovery: a Preliminary Study using GPT-4","version":2},"cited_work":{"arxiv_id":"2311.07361","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2311.07361","snapshot_observed_at":"2026-07-04T17:39:59.943916Z","title":"arXiv.org","venue":null,"work_id":"fbfcb538-accf-4b30-9e1a-4fa40a8c2841","year":2023},"citing_paper":{"arxiv_id":"2510.08804","last_updated":"2026-05-04T16:48:58Z","snapshot_observed_at":"2026-08-02T08:04:43.071958Z","submitted_at":"2025-10-09T20:35:23Z","title":"MOSAIC: Multi-agent Orchestration for Task-Intelligent Scientific Coding","version":3},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-18T08:28:59.161675Z"},"links":{"cited_paper":"/paper/2311.07361","citing_paper":"/paper/2510.08804"},"observation_digest":"sha256:93d0d379cfed338bcd0745c65021e9a7a12d51f4ef220d3f4ee7003ee6ac7bf2","observation_id":"52b592b0-13c3-4a8f-8976-843faa145956","resolution":{"observed_at":"2026-05-18T08:31:06.867308Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2311.07361","last_updated":"2023-12-08T06:30:12Z","snapshot_observed_at":"2026-08-06T14:59:24.918552Z","submitted_at":"2023-11-13T14:26:12Z","title":"The Impact of Large Language Models on Scientific Discovery: a Preliminary Study using GPT-4","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.07361","snapshot_observed_at":"2026-08-03T14:45:40.583003Z","title":"arXiv preprint arXiv:2311.07361 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2512.19458","last_updated":"2026-07-07T09:00:18Z","snapshot_observed_at":"2026-08-06T03:19:31.860121Z","submitted_at":"2025-12-22T15:03:57Z","title":"VASP Agent: An Agentic Framework for Autonomous First-principles Calculations","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-03T14:45:40.583003Z"},"links":{"cited_paper":"/paper/2311.07361","citing_paper":"/paper/2512.19458"},"observation_digest":"sha256:a4b607b145a10377890891b04c8f74ac0d863355dd3d85b7d16c144b14d90a24","observation_id":"2af1bf63-d5b4-4c57-ab56-c92b0916faf3","resolution":{"observed_at":"2026-08-03T14:45:40.583003Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.07361","last_updated":"2023-12-08T06:30:12Z","snapshot_observed_at":"2026-08-06T14:59:24.918552Z","submitted_at":"2023-11-13T14:26:12Z","title":"The Impact of Large Language Models on Scientific Discovery: a Preliminary Study using GPT-4","version":2},"cited_work":{"arxiv_id":"2311.07361","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2311.07361","snapshot_observed_at":"2026-07-04T17:39:59.943916Z","title":"arXiv.org","venue":null,"work_id":"fbfcb538-accf-4b30-9e1a-4fa40a8c2841","year":2023},"citing_paper":{"arxiv_id":"2604.12973","last_updated":"2026-04-15T14:12:16Z","snapshot_observed_at":"2026-08-06T22:18:43.049598Z","submitted_at":"2026-04-14T17:04:51Z","title":"An Engineering Journey Training Large Language Models at Scale on Alps: The Apertus Experience","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-10T14:16:02.816822Z"},"links":{"cited_paper":"/paper/2311.07361","citing_paper":"/paper/2604.12973"},"observation_digest":"sha256:84e52e57227b04a8e707f0c372e14dde3ee2fe5782db3dfa5a3e43316d60bc5e","observation_id":"1d1c9d98-418d-414f-bef9-1e45a55044c8","resolution":{"observed_at":"2026-05-10T14:20:30.860954Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2311.07361","last_updated":"2023-12-08T06:30:12Z","snapshot_observed_at":"2026-08-06T14:59:24.918552Z","submitted_at":"2023-11-13T14:26:12Z","title":"The Impact of Large Language Models on Scientific Discovery: a Preliminary Study using GPT-4","version":2},"cited_work":{"arxiv_id":"2311.07361","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2311.07361","snapshot_observed_at":"2026-07-04T17:39:59.943916Z","title":"arXiv.org","venue":null,"work_id":"fbfcb538-accf-4b30-9e1a-4fa40a8c2841","year":2023},"citing_paper":{"arxiv_id":"2604.23106","last_updated":"2026-04-25T02:01:54Z","snapshot_observed_at":"2026-07-06T23:09:23.591544Z","submitted_at":"2026-04-25T02:01:54Z","title":"No Test Cases, No Problem: Distillation-Driven Code Generation for Scientific Workflows","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-08T08:12:07.708441Z"},"links":{"cited_paper":"/paper/2311.07361","citing_paper":"/paper/2604.23106"},"observation_digest":"sha256:9ad7f6d29605a6fca35703b5acc113b708d2f65a0b2ae4aabd1a9e2cc69f5107","observation_id":"c1bbd647-d515-40d7-b647-386571a55247","resolution":{"observed_at":"2026-05-11T20:46:10.023592Z","resolver_source":"arxiv_id","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":"2311.07361","last_updated":"2023-12-08T06:30:12Z","snapshot_observed_at":"2026-08-06T14:59:24.918552Z","submitted_at":"2023-11-13T14:26:12Z","title":"The Impact of Large Language Models on Scientific Discovery: a Preliminary Study using GPT-4","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.07361","snapshot_observed_at":"2026-07-12T16:14:01.560420Z","title":"The impact of large lan- guage models on scientific discovery: a preliminary study using gpt-4.arXiv preprint arXiv:2311.07361, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2605.24042","last_updated":"2026-07-06T17:37:14Z","snapshot_observed_at":"2026-08-08T04:30:31.630171Z","submitted_at":"2026-05-21T20:12:09Z","title":"Hidden-State Privacy Has an Empty Middle","version":3},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-12T16:14:01.560420Z"},"links":{"cited_paper":"/paper/2311.07361","citing_paper":"/paper/2605.24042"},"observation_digest":"sha256:afc5785af37317d0abd3ffee5b45b15502446e40ec5955cf872c53e3cba61692","observation_id":"675e047c-4cb5-44b8-9f96-13790c665ad9","resolution":{"observed_at":"2026-07-12T16:14:01.560420Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.07361","last_updated":"2023-12-08T06:30:12Z","snapshot_observed_at":"2026-08-06T14:59:24.918552Z","submitted_at":"2023-11-13T14:26:12Z","title":"The Impact of Large Language Models on Scientific Discovery: a Preliminary Study using GPT-4","version":2},"cited_work":{"arxiv_id":"2311.07361","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2311.07361","snapshot_observed_at":"2026-07-04T17:39:59.943916Z","title":"arXiv.org","venue":null,"work_id":"fbfcb538-accf-4b30-9e1a-4fa40a8c2841","year":2023},"citing_paper":{"arxiv_id":"2605.24043","last_updated":"2026-05-21T20:30:56Z","snapshot_observed_at":"2026-07-06T23:34:08.786038Z","submitted_at":"2026-05-21T20:30:56Z","title":"LLM-AutoSciLab: Closed-Loop Scientific Discovery via Active Experimentation with LLMs","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-06-30T16:55:32.815360Z"},"links":{"cited_paper":"/paper/2311.07361","citing_paper":"/paper/2605.24043"},"observation_digest":"sha256:8d15fe7da0b7b117eff18e1de571ddb792e460fb4b4df8140d436257c97502b6","observation_id":"bbb6779c-cf1a-4ef3-ad16-b377b52a26c7","resolution":{"observed_at":"2026-06-30T17:04:57.777213Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2311.07361","last_updated":"2023-12-08T06:30:12Z","snapshot_observed_at":"2026-08-06T14:59:24.918552Z","submitted_at":"2023-11-13T14:26:12Z","title":"The Impact of Large Language Models on Scientific Discovery: a Preliminary Study using GPT-4","version":2},"cited_work":{"arxiv_id":"2311.07361","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2311.07361","snapshot_observed_at":"2026-07-04T17:39:59.943916Z","title":"arXiv.org","venue":null,"work_id":"fbfcb538-accf-4b30-9e1a-4fa40a8c2841","year":2023},"citing_paper":{"arxiv_id":"2606.25039","last_updated":"2026-06-23T18:00:52Z","snapshot_observed_at":"2026-08-07T18:08:41.251359Z","submitted_at":"2026-06-23T18:00:52Z","title":"LLM-ACES: Closed-Loop Discovery of Dynamical Systems with LLM-Guided Adaptive Search","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-25T23:35:16.029635Z"},"links":{"cited_paper":"/paper/2311.07361","citing_paper":"/paper/2606.25039"},"observation_digest":"sha256:3764fca1f09ffc0eca44578d749e0c7ec5366d28afa2f1ae77172b8689902411","observation_id":"d56f2e74-74d1-4700-90e3-15c62417ff28","resolution":{"observed_at":"2026-07-04T17:39:59.945417Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2311.07361","last_updated":"2023-12-08T06:30:12Z","snapshot_observed_at":"2026-08-06T14:59:24.918552Z","submitted_at":"2023-11-13T14:26:12Z","title":"The Impact of Large Language Models on Scientific Discovery: a Preliminary Study using GPT-4","version":2},"cited_work":{"arxiv_id":"2311.07361","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2311.07361","snapshot_observed_at":"2026-07-04T17:39:59.943916Z","title":"arXiv.org","venue":null,"work_id":"fbfcb538-accf-4b30-9e1a-4fa40a8c2841","year":2023},"citing_paper":{"arxiv_id":"2607.00531","last_updated":"2026-07-01T07:22:46Z","snapshot_observed_at":"2026-08-05T15:12:09.427437Z","submitted_at":"2026-07-01T07:22:46Z","title":"Active-GRPO: Adaptive Imitation and Self-Improving Reasoning for Molecular Optimization","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-07-02T16:07:49.362916Z"},"links":{"cited_paper":"/paper/2311.07361","citing_paper":"/paper/2607.00531"},"observation_digest":"sha256:3f073dabcfde981695d5090493168e81d3d5e0d24f143af7d7d3544a0e66ac79","observation_id":"f751811e-5327-444b-81a2-f56bdf2daa14","resolution":{"observed_at":"2026-07-02T16:17:08.614656Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2311.07361","last_updated":"2023-12-08T06:30:12Z","snapshot_observed_at":"2026-08-06T14:59:24.918552Z","submitted_at":"2023-11-13T14:26:12Z","title":"The Impact of Large Language Models on Scientific Discovery: a Preliminary Study using GPT-4","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.07361","snapshot_observed_at":"2026-07-14T10:56:35.866730Z","title":"The impact of large language models on scientific discovery: a preliminary study using gpt-4.arXiv preprint arXiv:2311.07361, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.10546","last_updated":"2026-07-12T03:16:49Z","snapshot_observed_at":"2026-08-02T04:56:01.892587Z","submitted_at":"2026-07-12T03:16:49Z","title":"LLM-PDESR: Robust PDE Discovery via Subdomain Weighted Residuals and LLM-Guided Symbolic Hypothesis Generation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-07-14T10:56:35.866730Z"},"links":{"cited_paper":"/paper/2311.07361","citing_paper":"/paper/2607.10546"},"observation_digest":"sha256:04d9255c3bdc04062d04952b1129697e4de5a690d715a4d90edc60a99f178d70","observation_id":"beebf296-dbe8-4caf-9d1a-32e4c319175a","resolution":{"observed_at":"2026-07-14T10:56:35.866730Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.07361","last_updated":"2023-12-08T06:30:12Z","snapshot_observed_at":"2026-08-06T14:59:24.918552Z","submitted_at":"2023-11-13T14:26:12Z","title":"The Impact of Large Language Models on Scientific Discovery: a Preliminary Study using GPT-4","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.07361","snapshot_observed_at":"2026-08-05T16:11:58.725197Z","title":"arXiv preprint arXiv:2311.07361 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.03605","last_updated":"2026-08-04T12:57:08Z","snapshot_observed_at":"2026-08-07T23:12:10.103296Z","submitted_at":"2026-08-04T12:57:08Z","title":"FraQ: Efficient Coordinate-Space Recompression for Federated Low-Rank Adaptation","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-05T16:11:58.725197Z"},"links":{"cited_paper":"/paper/2311.07361","citing_paper":"/paper/2608.03605"},"observation_digest":"sha256:b43265c1471ecbd9ace896af52852b41c6c9920118a4f81d2e5fa0e12a9c62ce","observation_id":"220a8a79-db87-4f9b-8811-55b2500e1be2","resolution":{"observed_at":"2026-08-05T16:11:58.725197Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2311.07361/citation-record","integrity":"/paper/2311.07361/integrity","json":"/paper/2311.07361/citation-record.json","paper":"/paper/2311.07361"},"outbound":[],"paper":{"arxiv_id":"2311.07361","last_updated":"2023-12-08T06:30:12Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-06T14:59:24.918552Z","submitted_at":"2023-11-13T14:26:12Z","title":"The Impact of Large Language Models on Scientific Discovery: a Preliminary Study using GPT-4"},"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":"2026-08-07T06:34:17.273281+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 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2311.07361."}