{"as_of":"2026-08-08T05:11:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0c0d44e2308ce4968be8314438c7937beee659ac30b89c70957c15b6c811f6dc","coverage":[{"denominator":26,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":26,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T19:51:22.307933Z","state":"measured"},{"denominator":27,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":27,"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":"2026-08-07T13:26:49.286842Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-07T13:26:50.143400Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2502.09994","last_updated":"2025-02-14T08:25:06Z","snapshot_observed_at":"2026-08-07T19:44:34.411419Z","submitted_at":"2025-02-14T08:25:06Z","title":"Decision Information Meets Large Language Models: The Future of Explainable Operations Research","version":1},"cited_work":{"arxiv_id":"2502.09994","doi":null,"metadata_source":"pith","pith_arxiv_id":"2502.09994","snapshot_observed_at":"2026-08-07T13:26:50.143400Z","title":"Decision Information Meets Large Language Models: The Future of Explainable Operations Research","venue":"cs.AI","work_id":"083baef6-55e0-43ac-a329-4093e5ee962b","year":2025},"citing_paper":{"arxiv_id":"2505.21775","last_updated":"2025-05-27T21:19:33Z","snapshot_observed_at":"2026-08-07T13:20:54.302053Z","submitted_at":"2025-05-27T21:19:33Z","title":"DualSchool: How Reliable are LLMs for Optimization Education?","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T13:26:49.286842Z"},"links":{"cited_paper":"/paper/2502.09994","citing_paper":"/paper/2505.21775"},"observation_digest":"sha256:b4494e295013aea49a89c25bd700fd8d239838b13caa6f56f7d2b47c44c58814","observation_id":"2a68f10f-7b6f-48c5-b41d-c2e6d116d755","resolution":{"observed_at":"2026-08-07T13:26:50.163457Z","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"}}],"links":{"evidence":"/evidence","html":"/paper/2502.09994/citation-record","integrity":"/paper/2502.09994/integrity","json":"/paper/2502.09994/citation-record.json","paper":"/paper/2502.09994"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T19:51:22.612698Z","title":"An exact graph edit distance algorithm for solving pattern recognition problems","venue":null,"work_id":"8824b6cf-70a7-4387-9873-fd7ee1c36693","year":2015},"citing_paper":{"arxiv_id":"2502.09994","last_updated":"2025-02-14T08:25:06Z","snapshot_observed_at":"2026-08-07T19:44:34.411419Z","submitted_at":"2025-02-14T08:25:06Z","title":"Decision Information Meets Large Language Models: The Future of Explainable Operations Research","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T19:51:22.206387Z"},"links":{"citing_paper":"/paper/2502.09994"},"observation_digest":"sha256:71a9ea0b7cf7d98068347e8f6ef0710e4fa37b396c28a336a22013a39dce4d03","observation_id":"13e10834-f173-487a-8594-44c72e28c667","resolution":{"observed_at":"2026-08-07T19:51:22.616396Z","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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T19:51:22.515091Z","title":"\"\" The prompt template for Code (2): 1 CODE_PROMPT =","venue":null,"work_id":"c5973644-d8c9-41e8-a58c-b2b138d1fb7e","year":2025},"citing_paper":{"arxiv_id":"2502.09994","last_updated":"2025-02-14T08:25:06Z","snapshot_observed_at":"2026-08-07T19:44:34.411419Z","submitted_at":"2025-02-14T08:25:06Z","title":"Decision Information Meets Large Language Models: The Future of Explainable Operations Research","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T19:51:22.285282Z"},"links":{"citing_paper":"/paper/2502.09994"},"observation_digest":"sha256:9487027d7f5705612f94cb1710b207513644a8cb3f54fa3eb07688794d7a1d77","observation_id":"691d2fa3-15aa-4860-998a-9ebe943812ac","resolution":{"observed_at":"2026-08-07T19:51:22.519136Z","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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T19:51:22.602180Z","title":"A closer look into using large language models for automatic evaluation","venue":null,"work_id":"8838d785-4f94-4dbc-bb39-3378c4d504f0","year":2023},"citing_paper":{"arxiv_id":"2502.09994","last_updated":"2025-02-14T08:25:06Z","snapshot_observed_at":"2026-08-07T19:44:34.411419Z","submitted_at":"2025-02-14T08:25:06Z","title":"Decision Information Meets Large Language Models: The Future of Explainable Operations Research","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T19:51:22.224103Z"},"links":{"citing_paper":"/paper/2502.09994"},"observation_digest":"sha256:3ed57395d14f825ae480b564399eff4ee399e0a48690c390d6b2e2870229a95d","observation_id":"36fcf9a7-e6de-4129-9019-ac3ff4091648","resolution":{"observed_at":"2026-08-07T19:51:22.606078Z","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":"2406.09972","last_updated":"2024-06-14T12:31:44Z","snapshot_observed_at":"2026-07-06T18:30:59.857334Z","submitted_at":"2024-06-14T12:31:44Z","title":"A Better LLM Evaluator for Text Generation: The Impact of Prompt Output Sequencing and Optimization","version":1},"cited_work":{"arxiv_id":"2406.09972","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.09972","snapshot_observed_at":"2026-08-07T19:51:22.399650Z","title":"A Better LLM Evaluator for Text Generation: The Impact of Prompt Output Sequencing and Optimization","venue":"cs.CL","work_id":"f6db66ad-3acc-4443-b4ac-0c11e166783c","year":2024},"citing_paper":{"arxiv_id":"2502.09994","last_updated":"2025-02-14T08:25:06Z","snapshot_observed_at":"2026-08-07T19:44:34.411419Z","submitted_at":"2025-02-14T08:25:06Z","title":"Decision Information Meets Large Language Models: The Future of Explainable Operations Research","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T19:51:22.227948Z"},"links":{"cited_paper":"/paper/2406.09972","citing_paper":"/paper/2502.09994"},"observation_digest":"sha256:b57ec5c79db9577dee232b9f19aa7a3762ea242d8273a8a38d189f9d784e3582","observation_id":"5e676ab2-c779-45ed-bb25-766fdd115e50","resolution":{"observed_at":"2026-08-07T19:51:22.405968Z","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":"2026-08-07T19:51:22.591404Z","title":"The effect of explanations on trust in an assistance system for public transport users and the role of the propensity to trust","venue":null,"work_id":"df020e3f-e08e-47af-88b7-baf0b7ea125e","year":2021},"citing_paper":{"arxiv_id":"2502.09994","last_updated":"2025-02-14T08:25:06Z","snapshot_observed_at":"2026-08-07T19:44:34.411419Z","submitted_at":"2025-02-14T08:25:06Z","title":"Decision Information Meets Large Language Models: The Future of Explainable Operations Research","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T19:51:22.232142Z"},"links":{"citing_paper":"/paper/2502.09994"},"observation_digest":"sha256:dcc646da1d07c2c876d14077925a39b0ce903980ba76a335c55357cbe1ecae68","observation_id":"596e98a0-9aca-400f-a15d-d337d66d0f28","resolution":{"observed_at":"2026-08-07T19:51:22.595365Z","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":"2405.10098","last_updated":"2024-05-16T13:54:37Z","snapshot_observed_at":"2026-08-05T06:50:32.168721Z","submitted_at":"2024-05-16T13:54:37Z","title":"When Large Language Model Meets Optimization","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.10098","snapshot_observed_at":"2026-08-07T19:51:22.244036Z","title":"When large language model meets optimiza- tion","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.09994","last_updated":"2025-02-14T08:25:06Z","snapshot_observed_at":"2026-08-07T19:44:34.411419Z","submitted_at":"2025-02-14T08:25:06Z","title":"Decision Information Meets Large Language Models: The Future of Explainable Operations Research","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T19:51:22.244036Z"},"links":{"cited_paper":"/paper/2405.10098","citing_paper":"/paper/2502.09994"},"observation_digest":"sha256:0729f57326db7e7c17c31909a310708163aff77ad72e9893a7e6cbde61f96ebc","observation_id":"18946ef5-b68c-4256-923b-a4baf9187b29","resolution":{"observed_at":"2026-08-07T19:51:22.244036Z","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":"2026-08-07T19:51:22.570320Z","title":"Less is more: Dis- covering concise network explanations","venue":null,"work_id":"352528e2-30b1-40cb-ad3a-e6c606fe282c","year":2024},"citing_paper":{"arxiv_id":"2502.09994","last_updated":"2025-02-14T08:25:06Z","snapshot_observed_at":"2026-08-07T19:44:34.411419Z","submitted_at":"2025-02-14T08:25:06Z","title":"Decision Information Meets Large Language Models: The Future of Explainable Operations Research","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T19:51:22.248678Z"},"links":{"citing_paper":"/paper/2502.09994"},"observation_digest":"sha256:1d337d6567d6851a918a12a3020e69057e52f4e8fba217b9bbdd0bfa49cd5bac","observation_id":"e685d728-4522-4150-947c-26f0ad56fe04","resolution":{"observed_at":"2026-08-07T19:51:22.574119Z","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":"2307.03875","last_updated":"2023-07-13T17:29:48Z","snapshot_observed_at":"2026-08-08T05:05:24.809165Z","submitted_at":"2023-07-08T01:42:22Z","title":"Large Language Models for Supply Chain Optimization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.03875","snapshot_observed_at":"2026-08-07T19:51:22.252864Z","title":"Large language models for supply chain optimization","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.09994","last_updated":"2025-02-14T08:25:06Z","snapshot_observed_at":"2026-08-07T19:44:34.411419Z","submitted_at":"2025-02-14T08:25:06Z","title":"Decision Information Meets Large Language Models: The Future of Explainable Operations Research","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T19:51:22.252864Z"},"links":{"cited_paper":"/paper/2307.03875","citing_paper":"/paper/2502.09994"},"observation_digest":"sha256:0865d3b2f34b8943763c338c59b37278cc0a449763035699a7acbdadb86f39cd","observation_id":"ef9572dd-c874-444d-9de8-e81438fcca34","resolution":{"observed_at":"2026-08-07T19:51:22.252864Z","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":"2026-08-07T19:51:22.559727Z","title":"Nl4opt com- petition: Formulating optimization problems based on their natural language descriptions","venue":null,"work_id":"b128f191-7dd2-4b51-98a5-c5a7a6091b6f","year":2022},"citing_paper":{"arxiv_id":"2502.09994","last_updated":"2025-02-14T08:25:06Z","snapshot_observed_at":"2026-08-07T19:44:34.411419Z","submitted_at":"2025-02-14T08:25:06Z","title":"Decision Information Meets Large Language Models: The Future of Explainable Operations Research","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T19:51:22.256913Z"},"links":{"citing_paper":"/paper/2502.09994"},"observation_digest":"sha256:8fb820055b268577fedac955ac1f13526b11cda2f04689b65445db30fe743726","observation_id":"d7300e30-c5ee-495e-8434-6ef51c967491","resolution":{"observed_at":"2026-08-07T19:51:22.563910Z","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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T19:51:22.444956Z","title":"ADD CONSTRAINT","venue":null,"work_id":"1f67be50-f8b2-47a7-a1a6-5221167a5a0c","year":2025},"citing_paper":{"arxiv_id":"2502.09994","last_updated":"2025-02-14T08:25:06Z","snapshot_observed_at":"2026-08-07T19:44:34.411419Z","submitted_at":"2025-02-14T08:25:06Z","title":"Decision Information Meets Large Language Models: The Future of Explainable Operations Research","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T19:51:22.307933Z"},"links":{"citing_paper":"/paper/2502.09994"},"observation_digest":"sha256:4b705a651b16b864675768b1e080715f14c20d4bf59943ae66b8cbe4ebd2d254","observation_id":"c0bdee5b-e0b1-44d0-8755-8c9312f14f41","resolution":{"observed_at":"2026-08-07T19:51:22.448804Z","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":"2405.17743","last_updated":"2025-04-04T13:31:38Z","snapshot_observed_at":"2026-07-06T18:21:01.419111Z","submitted_at":"2024-05-28T01:55:35Z","title":"ORLM: A Customizable Framework in Training Large Models for Automated Optimization Modeling","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.17743","snapshot_observed_at":"2026-08-07T19:51:22.265348Z","title":"Orlm: Training large language models for optimization modeling","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.09994","last_updated":"2025-02-14T08:25:06Z","snapshot_observed_at":"2026-08-07T19:44:34.411419Z","submitted_at":"2025-02-14T08:25:06Z","title":"Decision Information Meets Large Language Models: The Future of Explainable Operations Research","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T19:51:22.265348Z"},"links":{"cited_paper":"/paper/2405.17743","citing_paper":"/paper/2502.09994"},"observation_digest":"sha256:6e57b9bb5e6cfde2a44f3ee19cc198519aca4b86da1ad19f247e430dbe321b5a","observation_id":"92d9f99f-e665-41cb-afdf-34578066d9c2","resolution":{"observed_at":"2026-08-07T19:51:22.265348Z","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":"2026-08-07T19:51:22.537525Z","title":"Towards human-aligned evaluation for linear programming word problems","venue":null,"work_id":"ce232254-76d5-42cc-8d76-94616ab5e0f4","year":2024},"citing_paper":{"arxiv_id":"2502.09994","last_updated":"2025-02-14T08:25:06Z","snapshot_observed_at":"2026-08-07T19:44:34.411419Z","submitted_at":"2025-02-14T08:25:06Z","title":"Decision Information Meets Large Language Models: The Future of Explainable Operations Research","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T19:51:22.269385Z"},"links":{"citing_paper":"/paper/2502.09994"},"observation_digest":"sha256:97a6efdf40b2f59a75419b9aff6137e02086bda19ee78688dbdb7683879d2ae2","observation_id":"f36a2bef-cdd5-4858-99ef-0216e33e3169","resolution":{"observed_at":"2026-08-07T19:51:22.541489Z","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":"2407.07924","last_updated":"2024-07-09T07:11:10Z","snapshot_observed_at":"2026-08-06T17:49:57.032293Z","submitted_at":"2024-07-09T07:11:10Z","title":"Solving General Natural-Language-Description Optimization Problems with Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.07924","snapshot_observed_at":"2026-08-07T19:51:22.273098Z","title":"Solving general natural-language-description optimization problems with large language models","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.09994","last_updated":"2025-02-14T08:25:06Z","snapshot_observed_at":"2026-08-07T19:44:34.411419Z","submitted_at":"2025-02-14T08:25:06Z","title":"Decision Information Meets Large Language Models: The Future of Explainable Operations Research","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T19:51:22.273098Z"},"links":{"cited_paper":"/paper/2407.07924","citing_paper":"/paper/2502.09994"},"observation_digest":"sha256:f1b75f7522467cf22dfe7c89492a4512c170fccc46678e75023cb97ff60b6daf","observation_id":"898d0a07-9594-47a3-a55e-0bcd86196552","resolution":{"observed_at":"2026-08-07T19:51:22.273098Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.06064","last_updated":"2024-05-09T19:17:47Z","snapshot_observed_at":"2026-07-06T18:12:18.103577Z","submitted_at":"2024-05-09T19:17:47Z","title":"LLMs for XAI: Future Directions for Explaining Explanations","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.06064","snapshot_observed_at":"2026-08-07T19:51:22.277063Z","title":"Llms for xai: Future directions for explaining explanations","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.09994","last_updated":"2025-02-14T08:25:06Z","snapshot_observed_at":"2026-08-07T19:44:34.411419Z","submitted_at":"2025-02-14T08:25:06Z","title":"Decision Information Meets Large Language Models: The Future of Explainable Operations Research","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T19:51:22.277063Z"},"links":{"cited_paper":"/paper/2405.06064","citing_paper":"/paper/2502.09994"},"observation_digest":"sha256:e92e95af920f01801de121646bfbcc5e0a85681c865c5a3e54be9b72e88b920b","observation_id":"72a1b902-13b1-46f5-912e-d86f40a9ed12","resolution":{"observed_at":"2026-08-07T19:51:22.277063Z","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":"2026-08-07T19:51:22.526323Z","title":null,"venue":null,"work_id":"386feafd-4a76-4339-84e8-763ec1d2d40e","year":2025},"citing_paper":{"arxiv_id":"2502.09994","last_updated":"2025-02-14T08:25:06Z","snapshot_observed_at":"2026-08-07T19:44:34.411419Z","submitted_at":"2025-02-14T08:25:06Z","title":"Decision Information Meets Large Language Models: The Future of Explainable Operations Research","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T19:51:22.281232Z"},"links":{"citing_paper":"/paper/2502.09994"},"observation_digest":"sha256:b37078b35e5115c6bd5c8d0db5915517ea4a608c2b0681368e59c7b2b5ffc433","observation_id":"fc107bd0-640a-46c3-bdb5-f8de4dd49959","resolution":{"observed_at":"2026-08-07T19:51:22.529937Z","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":"2026-08-07T19:51:22.502828Z","title":"\"\" A.2.2 P ROMPT TEMPLATE FOR SAFEGUARD AGENT The prompt template for Safeguard with system message for the ChatCompletion inference: 1 SAFEGUARD_SYSTEM_MSG =","venue":null,"work_id":"237d8f46-be78-42e9-986f-f66aed081c13","year":2025},"citing_paper":{"arxiv_id":"2502.09994","last_updated":"2025-02-14T08:25:06Z","snapshot_observed_at":"2026-08-07T19:44:34.411419Z","submitted_at":"2025-02-14T08:25:06Z","title":"Decision Information Meets Large Language Models: The Future of Explainable Operations Research","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T19:51:22.289210Z"},"links":{"citing_paper":"/paper/2502.09994"},"observation_digest":"sha256:648bf6db75246e89909870eac4b6156864f50f61f8673f1efeb36421d868f158","observation_id":"82ae827d-2f37-4b10-a9bc-011c7da72205","resolution":{"observed_at":"2026-08-07T19:51:22.507472Z","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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T19:51:22.479885Z","title":null,"venue":null,"work_id":"a3aaf469-e3a2-4a0d-baac-39c40e7fb3e9","year":2025},"citing_paper":{"arxiv_id":"2502.09994","last_updated":"2025-02-14T08:25:06Z","snapshot_observed_at":"2026-08-07T19:44:34.411419Z","submitted_at":"2025-02-14T08:25:06Z","title":"Decision Information Meets Large Language Models: The Future of Explainable Operations Research","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T19:51:22.296912Z"},"links":{"citing_paper":"/paper/2502.09994"},"observation_digest":"sha256:84c4affb732e118f6cded84e17e0db3c6dfe186fa7694dff28905223d44990f0","observation_id":"c6f7ff52-c62c-4749-a9ed-4883ce7b75c5","resolution":{"observed_at":"2026-08-07T19:51:22.483628Z","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":"2026-08-07T19:51:22.468024Z","title":null,"venue":null,"work_id":"838ab91f-1509-4616-951e-a5efaf0ec4be","year":2025},"citing_paper":{"arxiv_id":"2502.09994","last_updated":"2025-02-14T08:25:06Z","snapshot_observed_at":"2026-08-07T19:44:34.411419Z","submitted_at":"2025-02-14T08:25:06Z","title":"Decision Information Meets Large Language Models: The Future of Explainable Operations Research","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T19:51:22.300570Z"},"links":{"citing_paper":"/paper/2502.09994"},"observation_digest":"sha256:0317da997630dcbde2dee2816ed8df02b62b63f5ac8485ebe77ee59da4a29761","observation_id":"c477692e-285b-4b7a-8674-ca4b779a3f6c","resolution":{"observed_at":"2026-08-07T19:51:22.472068Z","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":"2026-08-07T19:51:22.456124Z","title":"Table 6 shows a 60.00% reduction in total errors from zero-shot to one-shot, demonstrating a substantial improvement in the model’s per- formance","venue":null,"work_id":"97da16d4-1386-418e-95ca-294b8674ea08","year":2025},"citing_paper":{"arxiv_id":"2502.09994","last_updated":"2025-02-14T08:25:06Z","snapshot_observed_at":"2026-08-07T19:44:34.411419Z","submitted_at":"2025-02-14T08:25:06Z","title":"Decision Information Meets Large Language Models: The Future of Explainable Operations Research","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T19:51:22.304391Z"},"links":{"citing_paper":"/paper/2502.09994"},"observation_digest":"sha256:81445075cc9125e956c5d8fb263090a6c432775c719f8f6f78b93fffb3aa8a23","observation_id":"d70a7d23-c62c-4d82-830b-156c3b249ac5","resolution":{"observed_at":"2026-08-07T19:51:22.460235Z","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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T19:51:22.490848Z","title":"AirlineOptimization","venue":null,"work_id":"acc6eb41-602f-4f68-9467-1a7ec910bd2d","year":2025},"citing_paper":{"arxiv_id":"2502.09994","last_updated":"2025-02-14T08:25:06Z","snapshot_observed_at":"2026-08-07T19:44:34.411419Z","submitted_at":"2025-02-14T08:25:06Z","title":"Decision Information Meets Large Language Models: The Future of Explainable Operations Research","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-07T19:51:22.293037Z"},"links":{"citing_paper":"/paper/2502.09994"},"observation_digest":"sha256:af9cfac0413b19c25ce83f1deba7e3288881e8caa3d0379bb8cdd3dd1a174fa5","observation_id":"ae7f1792-2d23-4dbc-9295-e4154b86a9ab","resolution":{"observed_at":"2026-08-07T19:51:22.494557Z","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":"2304.00723","last_updated":"2023-09-18T03:52:18Z","snapshot_observed_at":"2026-08-07T04:02:57.773499Z","submitted_at":"2023-04-03T05:29:58Z","title":"Exploring the Use of Large Language Models for Reference-Free Text Quality Evaluation: An Empirical Study","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.00723","snapshot_observed_at":"2026-08-07T19:51:22.219530Z","title":"Exploring the use of large language models for reference-free text quality evaluation: An empirical study","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.09994","last_updated":"2025-02-14T08:25:06Z","snapshot_observed_at":"2026-08-07T19:44:34.411419Z","submitted_at":"2025-02-14T08:25:06Z","title":"Decision Information Meets Large Language Models: The Future of Explainable Operations Research","version":1},"reference_index":2007,"source":"pdf_text","source_observed_at":"2026-08-07T19:51:22.219530Z"},"links":{"cited_paper":"/paper/2304.00723","citing_paper":"/paper/2502.09994"},"observation_digest":"sha256:f6c2c42ca54e423e393c0cc419fb321d0cfa51d40c9d339849fa98266d77bb61","observation_id":"5d796928-52f6-427a-806b-734f005c9c3c","resolution":{"observed_at":"2026-08-07T19:51:22.219530Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.08774","last_updated":"2024-03-04T06:01:33Z","snapshot_observed_at":"2026-08-07T07:30:12.213965Z","submitted_at":"2023-03-15T17:15:04Z","title":"GPT-4 Technical Report","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08774","snapshot_observed_at":"2026-08-07T19:51:22.210559Z","title":"Gpt-4 technical report","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.09994","last_updated":"2025-02-14T08:25:06Z","snapshot_observed_at":"2026-08-07T19:44:34.411419Z","submitted_at":"2025-02-14T08:25:06Z","title":"Decision Information Meets Large Language Models: The Future of Explainable Operations Research","version":1},"reference_index":2015,"source":"pdf_text","source_observed_at":"2026-08-07T19:51:22.210559Z"},"links":{"cited_paper":"/paper/2303.08774","citing_paper":"/paper/2502.09994"},"observation_digest":"sha256:0b12d55c5a4746dfa2041cba9eefdeed6bf8558a45a50510c714411f1ea28c59","observation_id":"a2ec129f-4e51-425c-a14d-263a82cb1882","resolution":{"observed_at":"2026-08-07T19:51:22.210559Z","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":"2026-08-07T19:51:22.580605Z","title":"Grid optimiza- tion competition challenge 3 problem formulation","venue":null,"work_id":"863639b7-5727-4317-b7d1-efd42589e3c3","year":2025},"citing_paper":{"arxiv_id":"2502.09994","last_updated":"2025-02-14T08:25:06Z","snapshot_observed_at":"2026-08-07T19:44:34.411419Z","submitted_at":"2025-02-14T08:25:06Z","title":"Decision Information Meets Large Language Models: The Future of Explainable Operations Research","version":1},"reference_index":2017,"source":"pdf_text","source_observed_at":"2026-08-07T19:51:22.236113Z"},"links":{"citing_paper":"/paper/2502.09994"},"observation_digest":"sha256:cd527502ca5b5086a5a6a8b824c2c6fe9026186bb0d123411df53f19264f7252","observation_id":"e86f4390-eec1-4ab6-88e2-90422f243d93","resolution":{"observed_at":"2026-08-07T19:51:22.584324Z","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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T19:51:22.548848Z","title":"A survey on applica- tions of bipartite graph edit distance","venue":null,"work_id":"35de5175-dba2-47c5-851f-21625f70ab73","year":2017},"citing_paper":{"arxiv_id":"2502.09994","last_updated":"2025-02-14T08:25:06Z","snapshot_observed_at":"2026-08-07T19:44:34.411419Z","submitted_at":"2025-02-14T08:25:06Z","title":"Decision Information Meets Large Language Models: The Future of Explainable Operations Research","version":1},"reference_index":2018,"source":"pdf_text","source_observed_at":"2026-08-07T19:51:22.261347Z"},"links":{"citing_paper":"/paper/2502.09994"},"observation_digest":"sha256:faca99031ec05ddacd9442dae95fd36ac29b87a9e3953fef396904fc73205542","observation_id":"cebd3be6-b0e5-4898-a1f2-9334ba9c05b0","resolution":{"observed_at":"2026-08-07T19:51:22.552818Z","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":"2402.10172","last_updated":"2024-02-15T18:19:18Z","snapshot_observed_at":"2026-07-06T17:30:47.845775Z","submitted_at":"2024-02-15T18:19:18Z","title":"OptiMUS: Scalable Optimization Modeling with (MI)LP Solvers and Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.10172","snapshot_observed_at":"2026-08-07T19:51:22.214984Z","title":"Optimus: Scalable optimization modeling with (mi) lp solvers and large language models","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.09994","last_updated":"2025-02-14T08:25:06Z","snapshot_observed_at":"2026-08-07T19:44:34.411419Z","submitted_at":"2025-02-14T08:25:06Z","title":"Decision Information Meets Large Language Models: The Future of Explainable Operations Research","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-07T19:51:22.214984Z"},"links":{"cited_paper":"/paper/2402.10172","citing_paper":"/paper/2502.09994"},"observation_digest":"sha256:9fdbf007d08917ba9fd8bb984dfc6c6752fd2ad99a97a10c37a7c6ee30c467bb","observation_id":"465b2920-d80c-41b4-b73f-fe9d80742027","resolution":{"observed_at":"2026-08-07T19:51:22.214984Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.12055","last_updated":"2024-06-28T14:53:35Z","snapshot_observed_at":"2026-07-06T17:32:10.828230Z","submitted_at":"2024-02-19T11:19:02Z","title":"Are LLM-based Evaluators Confusing NLG Quality Criteria?","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.12055","snapshot_observed_at":"2026-08-07T19:51:22.239945Z","title":"Are llm-based evaluators confusing nlg quality criteria? arXiv preprint arXiv:2402.12055,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.09994","last_updated":"2025-02-14T08:25:06Z","snapshot_observed_at":"2026-08-07T19:44:34.411419Z","submitted_at":"2025-02-14T08:25:06Z","title":"Decision Information Meets Large Language Models: The Future of Explainable Operations Research","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-07T19:51:22.239945Z"},"links":{"cited_paper":"/paper/2402.12055","citing_paper":"/paper/2502.09994"},"observation_digest":"sha256:26e9061ac38c2ebfdbedd9b9972c7983c8f4bc4242fc79e45d1b0a3698f2d171","observation_id":"26f6ddca-8538-4338-9208-6f9b56a6915a","resolution":{"observed_at":"2026-08-07T19:51:22.239945Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2502.09994","last_updated":"2025-02-14T08:25:06Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-07T19:44:34.411419Z","submitted_at":"2025-02-14T08:25:06Z","title":"Decision Information Meets Large Language Models: The Future of Explainable Operations Research"},"reference_resolution":{"displayed":26,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":12,"verified_exact":1,"verified_fuzzy":13},"total_outbound_references":26},"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 26 of 26 outbound references and 1 inbound Pith citation observation for arXiv:2502.09994."}