{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:I5XAH74DS4BEZPM3WYE4KL2WFW","short_pith_number":"pith:I5XAH74D","canonical_record":{"source":{"id":"2505.21931","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SY","submitted_at":"2025-05-28T03:31:54Z","cross_cats_sorted":["cs.SY"],"title_canon_sha256":"303fd341f002fa89629c3456f45a02a557100e73235ca71eced9faeeb5e56965","abstract_canon_sha256":"ea7a30d27ff04dad0be88741199fe6d049c735a694dbe1b308e4a0f8fd95758c"},"schema_version":"1.0"},"canonical_sha256":"476e03ff8397024cbd9bb609c52f562daedcd2a41a59ec78fe079b91491e5e11","source":{"kind":"arxiv","id":"2505.21931","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.21931","created_at":"2026-07-05T11:11:06Z"},{"alias_kind":"arxiv_version","alias_value":"2505.21931v1","created_at":"2026-07-05T11:11:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.21931","created_at":"2026-07-05T11:11:06Z"},{"alias_kind":"pith_short_12","alias_value":"I5XAH74DS4BE","created_at":"2026-07-05T11:11:06Z"},{"alias_kind":"pith_short_16","alias_value":"I5XAH74DS4BEZPM3","created_at":"2026-07-05T11:11:06Z"},{"alias_kind":"pith_short_8","alias_value":"I5XAH74D","created_at":"2026-07-05T11:11:06Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:I5XAH74DS4BEZPM3WYE4KL2WFW","target":"record","payload":{"canonical_record":{"source":{"id":"2505.21931","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SY","submitted_at":"2025-05-28T03:31:54Z","cross_cats_sorted":["cs.SY"],"title_canon_sha256":"303fd341f002fa89629c3456f45a02a557100e73235ca71eced9faeeb5e56965","abstract_canon_sha256":"ea7a30d27ff04dad0be88741199fe6d049c735a694dbe1b308e4a0f8fd95758c"},"schema_version":"1.0"},"canonical_sha256":"476e03ff8397024cbd9bb609c52f562daedcd2a41a59ec78fe079b91491e5e11","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:11:06.152238Z","signature_b64":"F71HXq2YeuFB8HpVP5waqW1UaxoYCqOArwh1d0HdvbnF2xBUzuuOzM6B+ZdMguQMaHcMJxK0t9vNIkblt03TCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"476e03ff8397024cbd9bb609c52f562daedcd2a41a59ec78fe079b91491e5e11","last_reissued_at":"2026-07-05T11:11:06.151756Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:11:06.151756Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.21931","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:11:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tga2Nm4RfPkKsbV4Eb2P7nvm/ZYUof8+SXBIP38r7nB/31GC5h8oJjfrWrugenKB9FZri+wGGuzXK0wldMqLBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T03:26:59.919313Z"},"content_sha256":"b4a6d010a93168716ab0439517711a118cb06ab75663271ba8f1ac5354c2521d","schema_version":"1.0","event_id":"sha256:b4a6d010a93168716ab0439517711a118cb06ab75663271ba8f1ac5354c2521d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:I5XAH74DS4BEZPM3WYE4KL2WFW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Large Language Models for Solving Economic Dispatch Problem","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.SY"],"primary_cat":"eess.SY","authors_text":"Ali Hassan, Rouzbeh Haghighi, Sina Mohammadi, Van-Hai Bui, Wencong Su","submitted_at":"2025-05-28T03:31:54Z","abstract_excerpt":"This paper investigates the capability of off-the-shelf large language models (LLMs) to solve the economic dispatch (ED) problem. ED is a hard-constrained optimization problem solved on a day-ahead timescale by grid operators to minimize electricity generation costs while accounting for physical and engineering constraints. Numerous approaches have been proposed, but these typically require either mathematical formulations, face convergence issues, or depend on extensive labeled data and training time. This work implements LLMs enhanced with reasoning capabilities to address the classic lossle"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.21931","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2505.21931/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:11:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8ApkithxCe3Od0c4fmu5ip3OUzFDaQvDp+GIR2pS6QIPUJrPay8IT08GW/F0trvAZgvCWfSVzRwDWUscWwt9Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T03:26:59.920359Z"},"content_sha256":"583aa8b39552cce785b5b3afa71e82f344f5a88742667d6a18caa288c2a58fdf","schema_version":"1.0","event_id":"sha256:583aa8b39552cce785b5b3afa71e82f344f5a88742667d6a18caa288c2a58fdf"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/I5XAH74DS4BEZPM3WYE4KL2WFW/bundle.json","state_url":"https://pith.science/pith/I5XAH74DS4BEZPM3WYE4KL2WFW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/I5XAH74DS4BEZPM3WYE4KL2WFW/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-13T03:26:59Z","links":{"resolver":"https://pith.science/pith/I5XAH74DS4BEZPM3WYE4KL2WFW","bundle":"https://pith.science/pith/I5XAH74DS4BEZPM3WYE4KL2WFW/bundle.json","state":"https://pith.science/pith/I5XAH74DS4BEZPM3WYE4KL2WFW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/I5XAH74DS4BEZPM3WYE4KL2WFW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:I5XAH74DS4BEZPM3WYE4KL2WFW","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"ea7a30d27ff04dad0be88741199fe6d049c735a694dbe1b308e4a0f8fd95758c","cross_cats_sorted":["cs.SY"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SY","submitted_at":"2025-05-28T03:31:54Z","title_canon_sha256":"303fd341f002fa89629c3456f45a02a557100e73235ca71eced9faeeb5e56965"},"schema_version":"1.0","source":{"id":"2505.21931","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.21931","created_at":"2026-07-05T11:11:06Z"},{"alias_kind":"arxiv_version","alias_value":"2505.21931v1","created_at":"2026-07-05T11:11:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.21931","created_at":"2026-07-05T11:11:06Z"},{"alias_kind":"pith_short_12","alias_value":"I5XAH74DS4BE","created_at":"2026-07-05T11:11:06Z"},{"alias_kind":"pith_short_16","alias_value":"I5XAH74DS4BEZPM3","created_at":"2026-07-05T11:11:06Z"},{"alias_kind":"pith_short_8","alias_value":"I5XAH74D","created_at":"2026-07-05T11:11:06Z"}],"graph_snapshots":[{"event_id":"sha256:583aa8b39552cce785b5b3afa71e82f344f5a88742667d6a18caa288c2a58fdf","target":"graph","created_at":"2026-07-05T11:11:06Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2505.21931/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper investigates the capability of off-the-shelf large language models (LLMs) to solve the economic dispatch (ED) problem. ED is a hard-constrained optimization problem solved on a day-ahead timescale by grid operators to minimize electricity generation costs while accounting for physical and engineering constraints. Numerous approaches have been proposed, but these typically require either mathematical formulations, face convergence issues, or depend on extensive labeled data and training time. This work implements LLMs enhanced with reasoning capabilities to address the classic lossle","authors_text":"Ali Hassan, Rouzbeh Haghighi, Sina Mohammadi, Van-Hai Bui, Wencong Su","cross_cats":["cs.SY"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SY","submitted_at":"2025-05-28T03:31:54Z","title":"Large Language Models for Solving Economic Dispatch Problem"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.21931","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:b4a6d010a93168716ab0439517711a118cb06ab75663271ba8f1ac5354c2521d","target":"record","created_at":"2026-07-05T11:11:06Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"ea7a30d27ff04dad0be88741199fe6d049c735a694dbe1b308e4a0f8fd95758c","cross_cats_sorted":["cs.SY"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SY","submitted_at":"2025-05-28T03:31:54Z","title_canon_sha256":"303fd341f002fa89629c3456f45a02a557100e73235ca71eced9faeeb5e56965"},"schema_version":"1.0","source":{"id":"2505.21931","kind":"arxiv","version":1}},"canonical_sha256":"476e03ff8397024cbd9bb609c52f562daedcd2a41a59ec78fe079b91491e5e11","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"476e03ff8397024cbd9bb609c52f562daedcd2a41a59ec78fe079b91491e5e11","first_computed_at":"2026-07-05T11:11:06.151756Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:11:06.151756Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"F71HXq2YeuFB8HpVP5waqW1UaxoYCqOArwh1d0HdvbnF2xBUzuuOzM6B+ZdMguQMaHcMJxK0t9vNIkblt03TCA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:11:06.152238Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.21931","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b4a6d010a93168716ab0439517711a118cb06ab75663271ba8f1ac5354c2521d","sha256:583aa8b39552cce785b5b3afa71e82f344f5a88742667d6a18caa288c2a58fdf"],"state_sha256":"1b09d47e3d7bebbf5b43a31ff6f81f388123da0440690c83377f9cb22803ee0d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IKzg15VSOtQclxPdXPon0lw6+5iLrgk04qBF/loPwrJH2afdjZhSJTzB9ya6WTHkBNn9a1RzW/wAr5R9m7OcCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T03:26:59.928855Z","bundle_sha256":"01679245840e6b4e95bab34585e8df0bbe25b88a20fc571b7660468cbdd0117c"}}