{"as_of":"2026-08-18T19:07:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2ed58b4d23eaeca728d014915805f927fb6066f9a59e4f897e08964a9056640e","coverage":[{"denominator":18,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":18,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T19:44:33.921305Z","state":"measured"},{"denominator":18,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":18,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2412.06432/citation-record","integrity":"/paper/2412.06432/integrity","json":"/paper/2412.06432/citation-record.json","paper":"/paper/2412.06432"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T19:44:34.196833Z","title":null,"venue":null,"work_id":"8949f428-021d-4b36-9a7f-0a003fb5ae89","year":null},"citing_paper":{"arxiv_id":"2412.06432","last_updated":"2025-07-01T09:36:47Z","snapshot_observed_at":"2026-08-18T06:32:36.421524Z","submitted_at":"2024-12-09T12:20:33Z","title":"Integrating Expert Labels into LLM-based Emission Goal Detection: Example Selection vs Automatic Prompt Design","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-11T19:44:33.858913Z"},"links":{"citing_paper":"/paper/2412.06432"},"observation_digest":"sha256:f4073b8b555848c2c6346148fb762c0cabc0f1bb58aa5b06b4c1351716088d81","observation_id":"b6e55fbd-3858-4f80-a519-25d6e8ffbe4f","resolution":{"observed_at":"2026-08-11T19:44:34.201801Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-11T19:44:34.180766Z","title":null,"venue":null,"work_id":"b999f3c9-d3f1-4186-a216-43314a44218f","year":null},"citing_paper":{"arxiv_id":"2412.06432","last_updated":"2025-07-01T09:36:47Z","snapshot_observed_at":"2026-08-18T06:32:36.421524Z","submitted_at":"2024-12-09T12:20:33Z","title":"Integrating Expert Labels into LLM-based Emission Goal Detection: Example Selection vs Automatic Prompt Design","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-11T19:44:33.864391Z"},"links":{"citing_paper":"/paper/2412.06432"},"observation_digest":"sha256:81f0d985b1df96bd2e7d258ed522b14ef43334f1c08fcc506c3349718806a802","observation_id":"a6882d5a-3381-47ba-86da-dac4d8fed310","resolution":{"observed_at":"2026-08-11T19:44:34.185526Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-11T19:44:34.165330Z","title":null,"venue":null,"work_id":"66e07fbb-6d87-4879-bb9e-41c1d34e36bc","year":null},"citing_paper":{"arxiv_id":"2412.06432","last_updated":"2025-07-01T09:36:47Z","snapshot_observed_at":"2026-08-18T06:32:36.421524Z","submitted_at":"2024-12-09T12:20:33Z","title":"Integrating Expert Labels into LLM-based Emission Goal Detection: Example Selection vs Automatic Prompt Design","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-11T19:44:33.869913Z"},"links":{"citing_paper":"/paper/2412.06432"},"observation_digest":"sha256:2760ea6bd9fd4a4da932493e90e93e1ad4ab81f72e950169d78a2ab3e732a546","observation_id":"7ac4417f-2bf7-43a4-8a34-4010fe724db2","resolution":{"observed_at":"2026-08-11T19:44:34.170153Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-11T19:44:34.148799Z","title":null,"venue":null,"work_id":"54fa02f0-8598-4adf-bec5-0436880db4af","year":null},"citing_paper":{"arxiv_id":"2412.06432","last_updated":"2025-07-01T09:36:47Z","snapshot_observed_at":"2026-08-18T06:32:36.421524Z","submitted_at":"2024-12-09T12:20:33Z","title":"Integrating Expert Labels into LLM-based Emission Goal Detection: Example Selection vs Automatic Prompt Design","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-11T19:44:33.875118Z"},"links":{"citing_paper":"/paper/2412.06432"},"observation_digest":"sha256:6bfc0cd40edb5dc0cb625d0296b531d5ae56c265aa86b0687cd339253be1ad81","observation_id":"b7039add-1947-458e-8f6f-7a581bea97b9","resolution":{"observed_at":"2026-08-11T19:44:34.154275Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-11T19:44:34.214991Z","title":"< target label >","venue":null,"work_id":"7d078e18-567a-4b1d-87b2-70466d823e54","year":null},"citing_paper":{"arxiv_id":"2412.06432","last_updated":"2025-07-01T09:36:47Z","snapshot_observed_at":"2026-08-18T06:32:36.421524Z","submitted_at":"2024-12-09T12:20:33Z","title":"Integrating Expert Labels into LLM-based Emission Goal Detection: Example Selection vs Automatic Prompt Design","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-11T19:44:33.851991Z"},"links":{"citing_paper":"/paper/2412.06432"},"observation_digest":"sha256:86f5fead576c29ffe4bb8f306343d4023e9521aec184ffa8192d8b01b9d3a6ff","observation_id":"35cd207c-7770-4724-899d-56d4e34b5457","resolution":{"observed_at":"2026-08-11T19:44:34.220564Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-11T19:44:34.116325Z","title":null,"venue":null,"work_id":"001c633b-e9be-4489-955f-008322fa00ab","year":null},"citing_paper":{"arxiv_id":"2412.06432","last_updated":"2025-07-01T09:36:47Z","snapshot_observed_at":"2026-08-18T06:32:36.421524Z","submitted_at":"2024-12-09T12:20:33Z","title":"Integrating Expert Labels into LLM-based Emission Goal Detection: Example Selection vs Automatic Prompt Design","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-11T19:44:33.885739Z"},"links":{"citing_paper":"/paper/2412.06432"},"observation_digest":"sha256:b46b28d897721dbe815c97c2a8057fd056e58de3223c70f9744cb161ed7108b4","observation_id":"014a9b99-1b91-4a72-96a4-a038fe12d95c","resolution":{"observed_at":"2026-08-11T19:44:34.121187Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-11T19:44:34.099689Z","title":null,"venue":null,"work_id":"ad17f47a-c0da-41b6-bb9b-44f6ae3f926d","year":null},"citing_paper":{"arxiv_id":"2412.06432","last_updated":"2025-07-01T09:36:47Z","snapshot_observed_at":"2026-08-18T06:32:36.421524Z","submitted_at":"2024-12-09T12:20:33Z","title":"Integrating Expert Labels into LLM-based Emission Goal Detection: Example Selection vs Automatic Prompt Design","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-11T19:44:33.890805Z"},"links":{"citing_paper":"/paper/2412.06432"},"observation_digest":"sha256:ccb387529b857ac2bb799256cc9a8244e1ad99af01c630b2aded3d9db436d071","observation_id":"6ba9196c-b0cf-443b-b558-1ed07eb8bed7","resolution":{"observed_at":"2026-08-11T19:44:34.104831Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-11T19:44:34.082748Z","title":null,"venue":null,"work_id":"64391432-8911-4f0b-98b4-94d20f6222d9","year":null},"citing_paper":{"arxiv_id":"2412.06432","last_updated":"2025-07-01T09:36:47Z","snapshot_observed_at":"2026-08-18T06:32:36.421524Z","submitted_at":"2024-12-09T12:20:33Z","title":"Integrating Expert Labels into LLM-based Emission Goal Detection: Example Selection vs Automatic Prompt Design","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-11T19:44:33.895977Z"},"links":{"citing_paper":"/paper/2412.06432"},"observation_digest":"sha256:8408d9e48be222cafd51a77a1a7cc2f1678965572b1d0717d02d41760af94292","observation_id":"2416e61e-4d6c-46e2-baa9-e1dabe259948","resolution":{"observed_at":"2026-08-11T19:44:34.087913Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-11T19:44:34.064399Z","title":null,"venue":null,"work_id":"70cc3d8a-6778-48e8-b98d-106f39652555","year":null},"citing_paper":{"arxiv_id":"2412.06432","last_updated":"2025-07-01T09:36:47Z","snapshot_observed_at":"2026-08-18T06:32:36.421524Z","submitted_at":"2024-12-09T12:20:33Z","title":"Integrating Expert Labels into LLM-based Emission Goal Detection: Example Selection vs Automatic Prompt Design","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-11T19:44:33.901193Z"},"links":{"citing_paper":"/paper/2412.06432"},"observation_digest":"sha256:97bcdfdc997388563b912bffb6c284d09a8a58ca7126434470cae1d0cc80bfaa","observation_id":"d4c61e39-1e20-4af8-8b0b-6bf3b19a1292","resolution":{"observed_at":"2026-08-11T19:44:34.069556Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-11T19:44:34.132132Z","title":null,"venue":null,"work_id":"1d93ba5c-ea6f-4558-b32d-39edccee21d2","year":null},"citing_paper":{"arxiv_id":"2412.06432","last_updated":"2025-07-01T09:36:47Z","snapshot_observed_at":"2026-08-18T06:32:36.421524Z","submitted_at":"2024-12-09T12:20:33Z","title":"Integrating Expert Labels into LLM-based Emission Goal Detection: Example Selection vs Automatic Prompt Design","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-11T19:44:33.880197Z"},"links":{"citing_paper":"/paper/2412.06432"},"observation_digest":"sha256:002ee4761692b418e9e96cb11fb59853a2b74a5e7e9912bf865585ad6476d9aa","observation_id":"c1c1010f-17aa-4d85-a658-8993041b6a27","resolution":{"observed_at":"2026-08-11T19:44:34.137403Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-11T19:44:34.048075Z","title":"reduce to zero by 2050","venue":null,"work_id":"faac9243-2a3f-4ceb-9923-13da3947e0e4","year":null},"citing_paper":{"arxiv_id":"2412.06432","last_updated":"2025-07-01T09:36:47Z","snapshot_observed_at":"2026-08-18T06:32:36.421524Z","submitted_at":"2024-12-09T12:20:33Z","title":"Integrating Expert Labels into LLM-based Emission Goal Detection: Example Selection vs Automatic Prompt Design","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-11T19:44:33.906606Z"},"links":{"citing_paper":"/paper/2412.06432"},"observation_digest":"sha256:0c8a9f3b65b51ae673d24ce58ae5c1662eba04632f2487e7c24502694cdb300f","observation_id":"15d4812d-8c15-48a1-918d-847136857bb4","resolution":{"observed_at":"2026-08-11T19:44:34.053042Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-11T19:44:34.030601Z","title":null,"venue":null,"work_id":"95d6e5b5-5e67-460a-a4e8-7604ff79d013","year":null},"citing_paper":{"arxiv_id":"2412.06432","last_updated":"2025-07-01T09:36:47Z","snapshot_observed_at":"2026-08-18T06:32:36.421524Z","submitted_at":"2024-12-09T12:20:33Z","title":"Integrating Expert Labels into LLM-based Emission Goal Detection: Example Selection vs Automatic Prompt Design","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-11T19:44:33.911892Z"},"links":{"citing_paper":"/paper/2412.06432"},"observation_digest":"sha256:da0c7df9a395a0b5001e8bda9be42a33b3d33d88f96d23a54510799d4507e1f8","observation_id":"c800e557-ecfd-4259-b0b9-17ead6ae95e6","resolution":{"observed_at":"2026-08-11T19:44:34.036427Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-11T19:44:34.013251Z","title":"Includes checks to ensure the presence of a target year for all goals","venue":null,"work_id":"2843339c-3606-4ceb-9159-1dea32d5bd95","year":null},"citing_paper":{"arxiv_id":"2412.06432","last_updated":"2025-07-01T09:36:47Z","snapshot_observed_at":"2026-08-18T06:32:36.421524Z","submitted_at":"2024-12-09T12:20:33Z","title":"Integrating Expert Labels into LLM-based Emission Goal Detection: Example Selection vs Automatic Prompt Design","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-11T19:44:33.916558Z"},"links":{"citing_paper":"/paper/2412.06432"},"observation_digest":"sha256:2448b085592981c0bd957d9988cc1e1cf56a246247c41ec04e16c3020e495a76","observation_id":"ee0007ad-c81e-43ed-bbde-86e0329c835e","resolution":{"observed_at":"2026-08-11T19:44:34.018860Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-11T19:44:33.992822Z","title":"Reinforced the need for specific target years and percentages for all commit- ments","venue":null,"work_id":"a74b1c7b-905c-4260-b16a-1be20b016690","year":null},"citing_paper":{"arxiv_id":"2412.06432","last_updated":"2025-07-01T09:36:47Z","snapshot_observed_at":"2026-08-18T06:32:36.421524Z","submitted_at":"2024-12-09T12:20:33Z","title":"Integrating Expert Labels into LLM-based Emission Goal Detection: Example Selection vs Automatic Prompt Design","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-11T19:44:33.921305Z"},"links":{"citing_paper":"/paper/2412.06432"},"observation_digest":"sha256:6e0b46dfda512753fcc2b445b5b2e174c4e70c3e3cc0bf25235c3e6dcd9127e6","observation_id":"84f2d37d-1782-492e-b59d-bf5b26cefa24","resolution":{"observed_at":"2026-08-11T19:44:34.000243Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.09646","last_updated":"2024-01-17T23:29:46Z","snapshot_observed_at":"2026-08-16T14:26:37.652171Z","submitted_at":"2024-01-17T23:29:46Z","title":"ClimateGPT: Towards AI Synthesizing Interdisciplinary Research on Climate Change","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.09646","snapshot_observed_at":"2026-08-11T19:44:33.835436Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.06432","last_updated":"2025-07-01T09:36:47Z","snapshot_observed_at":"2026-08-18T06:32:36.421524Z","submitted_at":"2024-12-09T12:20:33Z","title":"Integrating Expert Labels into LLM-based Emission Goal Detection: Example Selection vs Automatic Prompt Design","version":2},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-11T19:44:33.835436Z"},"links":{"cited_paper":"/paper/2401.09646","citing_paper":"/paper/2412.06432"},"observation_digest":"sha256:3dd9aeb7ae9aecabc44af13adf080e9309934dfe21eef43e56ffc510b98bbb0d","observation_id":"fb048949-dea0-47ee-b111-aba3f6a793d8","resolution":{"observed_at":"2026-08-11T19:44:33.835436Z","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":"2026-08-11T19:44:34.232388Z","title":"True \" if it does , otherwise return","venue":null,"work_id":"dd6af690-c8ac-49de-b59f-a011354f083b","year":2019},"citing_paper":{"arxiv_id":"2412.06432","last_updated":"2025-07-01T09:36:47Z","snapshot_observed_at":"2026-08-18T06:32:36.421524Z","submitted_at":"2024-12-09T12:20:33Z","title":"Integrating Expert Labels into LLM-based Emission Goal Detection: Example Selection vs Automatic Prompt Design","version":2},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-11T19:44:33.846401Z"},"links":{"citing_paper":"/paper/2412.06432"},"observation_digest":"sha256:2ccf59f816b3dfc5984814e81cde3300d81cfb16d307bca56306e22510714121","observation_id":"58780270-b314-4f29-b2a1-5f33ed735cb8","resolution":{"observed_at":"2026-08-11T19:44:34.237565Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-11T19:44:34.249314Z","title":null,"venue":null,"work_id":"85014e10-04f7-4332-a81b-4e49f5740ad9","year":2024},"citing_paper":{"arxiv_id":"2412.06432","last_updated":"2025-07-01T09:36:47Z","snapshot_observed_at":"2026-08-18T06:32:36.421524Z","submitted_at":"2024-12-09T12:20:33Z","title":"Integrating Expert Labels into LLM-based Emission Goal Detection: Example Selection vs Automatic Prompt Design","version":2},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-11T19:44:33.841005Z"},"links":{"citing_paper":"/paper/2412.06432"},"observation_digest":"sha256:93bbcd9fe56fd18d641fdfadde31c9de34351228cce81b6962b82149873c4533","observation_id":"64c07c24-163c-4d4d-9713-3dfa6c05c8ec","resolution":{"observed_at":"2026-08-11T19:44:34.254231Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.12948","last_updated":"2026-01-04T03:57:36Z","snapshot_observed_at":"2026-08-15T12:33:55.451951Z","submitted_at":"2025-01-22T15:19:35Z","title":"DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.12948","snapshot_observed_at":"2026-08-11T19:44:33.829024Z","title":"Gradient Descent","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.06432","last_updated":"2025-07-01T09:36:47Z","snapshot_observed_at":"2026-08-18T06:32:36.421524Z","submitted_at":"2024-12-09T12:20:33Z","title":"Integrating Expert Labels into LLM-based Emission Goal Detection: Example Selection vs Automatic Prompt Design","version":2},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-11T19:44:33.829024Z"},"links":{"cited_paper":"/paper/2501.12948","citing_paper":"/paper/2412.06432"},"observation_digest":"sha256:6faad55c2d7567accc4ace3bc6fca7ab15df16ad02d060717ddea7e8091254db","observation_id":"4cad1f8e-85f6-4bef-b061-cacfd31d674f","resolution":{"observed_at":"2026-08-11T19:44:33.829024Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2412.06432","last_updated":"2025-07-01T09:36:47Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-18T06:32:36.421524Z","submitted_at":"2024-12-09T12:20:33Z","title":"Integrating Expert Labels into LLM-based Emission Goal Detection: Example Selection vs Automatic Prompt Design"},"reference_resolution":{"displayed":18,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":13,"verified_exact":0,"verified_fuzzy":5},"total_outbound_references":18},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2412.06432."}