{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2014:KSIG5MXCYQ4NC7RV4SAKPMAQ7C","short_pith_number":"pith:KSIG5MXC","canonical_record":{"source":{"id":"1402.0564","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2014-02-04T01:35:19Z","cross_cats_sorted":[],"title_canon_sha256":"b4e464324da0a1a10fcbe83749b933a05ac71af42e1ef248cf46b5cc701821cc","abstract_canon_sha256":"1398de8ae7028b51fee610f9adcf213aad1e7cea118e1d8178e69e16c46cae12"},"schema_version":"1.0"},"canonical_sha256":"54906eb2e2c438d17e35e480a7b010f8832d8b545eea891c38d39f1d6e25f605","source":{"kind":"arxiv","id":"1402.0564","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1402.0564","created_at":"2026-05-18T03:00:13Z"},{"alias_kind":"arxiv_version","alias_value":"1402.0564v1","created_at":"2026-05-18T03:00:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1402.0564","created_at":"2026-05-18T03:00:13Z"},{"alias_kind":"pith_short_12","alias_value":"KSIG5MXCYQ4N","created_at":"2026-05-18T12:28:35Z"},{"alias_kind":"pith_short_16","alias_value":"KSIG5MXCYQ4NC7RV","created_at":"2026-05-18T12:28:35Z"},{"alias_kind":"pith_short_8","alias_value":"KSIG5MXC","created_at":"2026-05-18T12:28:35Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2014:KSIG5MXCYQ4NC7RV4SAKPMAQ7C","target":"record","payload":{"canonical_record":{"source":{"id":"1402.0564","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2014-02-04T01:35:19Z","cross_cats_sorted":[],"title_canon_sha256":"b4e464324da0a1a10fcbe83749b933a05ac71af42e1ef248cf46b5cc701821cc","abstract_canon_sha256":"1398de8ae7028b51fee610f9adcf213aad1e7cea118e1d8178e69e16c46cae12"},"schema_version":"1.0"},"canonical_sha256":"54906eb2e2c438d17e35e480a7b010f8832d8b545eea891c38d39f1d6e25f605","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:00:13.902208Z","signature_b64":"78WP725NAvAtBMQgFNXJh7cMC7uH4coIZEozGAuR1MykpICmumy1AvjCl+XPNcSEtI1obDOvsL1z3mopxTVhAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"54906eb2e2c438d17e35e480a7b010f8832d8b545eea891c38d39f1d6e25f605","last_reissued_at":"2026-05-18T03:00:13.901453Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:00:13.901453Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1402.0564","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":"2026-05-18T03:00:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vt7onIW99j7SMlcqcaDJPQcrJFrdZ8FCs90ql0yOSm4fkzWQjG+CjT20b8or7JiytYkk4atY8+UmTt2PYhpCDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-05T10:45:50.461119Z"},"content_sha256":"473fcb1641348e74c3cb22a91b69ec7c2679225efe9889c531e274fcf7c50c2c","schema_version":"1.0","event_id":"sha256:473fcb1641348e74c3cb22a91b69ec7c2679225efe9889c531e274fcf7c50c2c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2014:KSIG5MXCYQ4NC7RV4SAKPMAQ7C","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Hybrid LP-RPG Heuristic for Modelling Numeric Resource Flows in Planning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Amanda Jane Coles, Andrew Ian Coles, Derek Long, Maria Fox","submitted_at":"2014-02-04T01:35:19Z","abstract_excerpt":"Although the use of metric fluents is fundamental to many practical planning problems, the study of heuristics to support fully automated planners working with these fluents remains relatively unexplored. The most widely used heuristic is the relaxation of metric fluents into interval-valued variables --- an idea first proposed a decade ago. Other heuristics depend on domain encodings that supply additional information about fluents, such as capacity constraints or other resource-related annotations. \nA particular challenge to these approaches is in handling interactions between metric fluents"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1402.0564","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":""},"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":"2026-05-18T03:00:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DlfAP4i8V2WymxMckQ1pyfQtq1Rp2IL/zgFxoYf1ItIaK8vFjpGd872c0Nf9hAmSjQdcgderBaBk1bjM6PT6Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-05T10:45:50.461488Z"},"content_sha256":"27d79560163c435e873049df663790140b7b4325582ef9f2d992b3843e58902b","schema_version":"1.0","event_id":"sha256:27d79560163c435e873049df663790140b7b4325582ef9f2d992b3843e58902b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KSIG5MXCYQ4NC7RV4SAKPMAQ7C/bundle.json","state_url":"https://pith.science/pith/KSIG5MXCYQ4NC7RV4SAKPMAQ7C/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KSIG5MXCYQ4NC7RV4SAKPMAQ7C/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":"2026-06-05T10:45:50Z","links":{"resolver":"https://pith.science/pith/KSIG5MXCYQ4NC7RV4SAKPMAQ7C","bundle":"https://pith.science/pith/KSIG5MXCYQ4NC7RV4SAKPMAQ7C/bundle.json","state":"https://pith.science/pith/KSIG5MXCYQ4NC7RV4SAKPMAQ7C/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KSIG5MXCYQ4NC7RV4SAKPMAQ7C/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2014:KSIG5MXCYQ4NC7RV4SAKPMAQ7C","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":"1398de8ae7028b51fee610f9adcf213aad1e7cea118e1d8178e69e16c46cae12","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2014-02-04T01:35:19Z","title_canon_sha256":"b4e464324da0a1a10fcbe83749b933a05ac71af42e1ef248cf46b5cc701821cc"},"schema_version":"1.0","source":{"id":"1402.0564","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1402.0564","created_at":"2026-05-18T03:00:13Z"},{"alias_kind":"arxiv_version","alias_value":"1402.0564v1","created_at":"2026-05-18T03:00:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1402.0564","created_at":"2026-05-18T03:00:13Z"},{"alias_kind":"pith_short_12","alias_value":"KSIG5MXCYQ4N","created_at":"2026-05-18T12:28:35Z"},{"alias_kind":"pith_short_16","alias_value":"KSIG5MXCYQ4NC7RV","created_at":"2026-05-18T12:28:35Z"},{"alias_kind":"pith_short_8","alias_value":"KSIG5MXC","created_at":"2026-05-18T12:28:35Z"}],"graph_snapshots":[{"event_id":"sha256:27d79560163c435e873049df663790140b7b4325582ef9f2d992b3843e58902b","target":"graph","created_at":"2026-05-18T03:00:13Z","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"},"paper":{"abstract_excerpt":"Although the use of metric fluents is fundamental to many practical planning problems, the study of heuristics to support fully automated planners working with these fluents remains relatively unexplored. The most widely used heuristic is the relaxation of metric fluents into interval-valued variables --- an idea first proposed a decade ago. Other heuristics depend on domain encodings that supply additional information about fluents, such as capacity constraints or other resource-related annotations. \nA particular challenge to these approaches is in handling interactions between metric fluents","authors_text":"Amanda Jane Coles, Andrew Ian Coles, Derek Long, Maria Fox","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2014-02-04T01:35:19Z","title":"A Hybrid LP-RPG Heuristic for Modelling Numeric Resource Flows in Planning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1402.0564","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":"sha256:473fcb1641348e74c3cb22a91b69ec7c2679225efe9889c531e274fcf7c50c2c","target":"record","created_at":"2026-05-18T03:00:13Z","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":"1398de8ae7028b51fee610f9adcf213aad1e7cea118e1d8178e69e16c46cae12","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2014-02-04T01:35:19Z","title_canon_sha256":"b4e464324da0a1a10fcbe83749b933a05ac71af42e1ef248cf46b5cc701821cc"},"schema_version":"1.0","source":{"id":"1402.0564","kind":"arxiv","version":1}},"canonical_sha256":"54906eb2e2c438d17e35e480a7b010f8832d8b545eea891c38d39f1d6e25f605","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"54906eb2e2c438d17e35e480a7b010f8832d8b545eea891c38d39f1d6e25f605","first_computed_at":"2026-05-18T03:00:13.901453Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:00:13.901453Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"78WP725NAvAtBMQgFNXJh7cMC7uH4coIZEozGAuR1MykpICmumy1AvjCl+XPNcSEtI1obDOvsL1z3mopxTVhAA==","signature_status":"signed_v1","signed_at":"2026-05-18T03:00:13.902208Z","signed_message":"canonical_sha256_bytes"},"source_id":"1402.0564","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:473fcb1641348e74c3cb22a91b69ec7c2679225efe9889c531e274fcf7c50c2c","sha256:27d79560163c435e873049df663790140b7b4325582ef9f2d992b3843e58902b"],"state_sha256":"bd81e5ef9dfe2691f987eac102c43babfe1e22e9fac51e0adeec2a4519bd5ab5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2FZ1tkD6nHHzqiS1DAd8ctpi6hxHtiEkc67fAHdB3cz3TMtVxKXgzT0+jo971MGw2qx4ytdj5wDe3MeCqLs0Bw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-05T10:45:50.463429Z","bundle_sha256":"ff1f61a2ff4095a66bca8fb3857da837a5d4ca5fb7dcda7157d2f59693764269"}}