{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:YMCFME4LPP2TNIERPIVYQXOYCQ","short_pith_number":"pith:YMCFME4L","canonical_record":{"source":{"id":"2505.17607","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2025-05-23T08:16:32Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"c5772a2600f0ac25d7144b3eb36129790f3c8600ba0886f15e51c3b60c10bb9f","abstract_canon_sha256":"3775799c8d2b907937f9ea852e1451d41ee6f21a8852150fbbb250fd720d181f"},"schema_version":"1.0"},"canonical_sha256":"c30456138b7bf536a0917a2b885dd8143f789df4945e0dae2a8ce3c178bc1dd3","source":{"kind":"arxiv","id":"2505.17607","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.17607","created_at":"2026-06-01T02:03:24Z"},{"alias_kind":"arxiv_version","alias_value":"2505.17607v3","created_at":"2026-06-01T02:03:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.17607","created_at":"2026-06-01T02:03:24Z"},{"alias_kind":"pith_short_12","alias_value":"YMCFME4LPP2T","created_at":"2026-06-01T02:03:24Z"},{"alias_kind":"pith_short_16","alias_value":"YMCFME4LPP2TNIER","created_at":"2026-06-01T02:03:24Z"},{"alias_kind":"pith_short_8","alias_value":"YMCFME4L","created_at":"2026-06-01T02:03:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:YMCFME4LPP2TNIERPIVYQXOYCQ","target":"record","payload":{"canonical_record":{"source":{"id":"2505.17607","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2025-05-23T08:16:32Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"c5772a2600f0ac25d7144b3eb36129790f3c8600ba0886f15e51c3b60c10bb9f","abstract_canon_sha256":"3775799c8d2b907937f9ea852e1451d41ee6f21a8852150fbbb250fd720d181f"},"schema_version":"1.0"},"canonical_sha256":"c30456138b7bf536a0917a2b885dd8143f789df4945e0dae2a8ce3c178bc1dd3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-01T02:03:24.032849Z","signature_b64":"JwkNQ09Uy9NB8d9/3C3vGwE4gkMlF8uhZBV1DEBjQczgFalgONqbijgXufJGtpzrEdPcdhxuPknh+HBTDVPhCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c30456138b7bf536a0917a2b885dd8143f789df4945e0dae2a8ce3c178bc1dd3","last_reissued_at":"2026-06-01T02:03:24.031654Z","signature_status":"signed_v1","first_computed_at":"2026-06-01T02:03:24.031654Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.17607","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-06-01T02:03:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CDycEBMQaGWdomUz+vPUFUrYHvyyxc63CJAuq33Up3FQHlN/fnjqnabIkHXL1gNZsW52IG+CXPsWn0C58MhnAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-10T19:07:14.996860Z"},"content_sha256":"f16c23f7ecfab1e8e7babc004cbbc6343354b6599b643bb8738636e1f6ac0320","schema_version":"1.0","event_id":"sha256:f16c23f7ecfab1e8e7babc004cbbc6343354b6599b643bb8738636e1f6ac0320"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:YMCFME4LPP2TNIERPIVYQXOYCQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Symbolic Intermediaries as a Linguistic-Numerical Interface for LLM-Driven Geometric Reasoning","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.AI","authors_text":"Andr\\'e Freitas, Jo\\~ao Pedro Gandarela, Stefan Menzel, Thiago Rios","submitted_at":"2025-05-23T08:16:32Z","abstract_excerpt":"Large Language Models (LLMs) display reasoning capabilities over linguistic and symbolic objects but have limited capabilities to directly interpret the continuous numerical outputs of physics simulators, e.g., distances, curvatures, and trajectories that resist discrete tokenisation. Across spatially grounded engineering reasoning tasks, from mechanism design to motion planning, this defines a fundamental gap, which limits the wider application of LLMs within broader geometrical domains, for exmaple interfacing with physics simulators. We propose symbolic intermediaries, compact analytical ex"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.17607","kind":"arxiv","version":3},"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/2505.17607/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":"2026-06-01T02:03:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lo9kCHa4fk5m//FXrCEF8b702UQvz0130nXTWAav+A7AgBEVGYIAAOdm2Vu/gzjVWPklpGOS/ZczfVY/J2kGDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-10T19:07:14.997451Z"},"content_sha256":"8c8b7f79989705f506c273ac115ec5dd8547fb5b26e2b74882d4a84c489d4d6b","schema_version":"1.0","event_id":"sha256:8c8b7f79989705f506c273ac115ec5dd8547fb5b26e2b74882d4a84c489d4d6b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YMCFME4LPP2TNIERPIVYQXOYCQ/bundle.json","state_url":"https://pith.science/pith/YMCFME4LPP2TNIERPIVYQXOYCQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YMCFME4LPP2TNIERPIVYQXOYCQ/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":"2026-06-10T19:07:14Z","links":{"resolver":"https://pith.science/pith/YMCFME4LPP2TNIERPIVYQXOYCQ","bundle":"https://pith.science/pith/YMCFME4LPP2TNIERPIVYQXOYCQ/bundle.json","state":"https://pith.science/pith/YMCFME4LPP2TNIERPIVYQXOYCQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YMCFME4LPP2TNIERPIVYQXOYCQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:YMCFME4LPP2TNIERPIVYQXOYCQ","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":"3775799c8d2b907937f9ea852e1451d41ee6f21a8852150fbbb250fd720d181f","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2025-05-23T08:16:32Z","title_canon_sha256":"c5772a2600f0ac25d7144b3eb36129790f3c8600ba0886f15e51c3b60c10bb9f"},"schema_version":"1.0","source":{"id":"2505.17607","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.17607","created_at":"2026-06-01T02:03:24Z"},{"alias_kind":"arxiv_version","alias_value":"2505.17607v3","created_at":"2026-06-01T02:03:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.17607","created_at":"2026-06-01T02:03:24Z"},{"alias_kind":"pith_short_12","alias_value":"YMCFME4LPP2T","created_at":"2026-06-01T02:03:24Z"},{"alias_kind":"pith_short_16","alias_value":"YMCFME4LPP2TNIER","created_at":"2026-06-01T02:03:24Z"},{"alias_kind":"pith_short_8","alias_value":"YMCFME4L","created_at":"2026-06-01T02:03:24Z"}],"graph_snapshots":[{"event_id":"sha256:8c8b7f79989705f506c273ac115ec5dd8547fb5b26e2b74882d4a84c489d4d6b","target":"graph","created_at":"2026-06-01T02:03:24Z","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/2505.17607/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Language Models (LLMs) display reasoning capabilities over linguistic and symbolic objects but have limited capabilities to directly interpret the continuous numerical outputs of physics simulators, e.g., distances, curvatures, and trajectories that resist discrete tokenisation. Across spatially grounded engineering reasoning tasks, from mechanism design to motion planning, this defines a fundamental gap, which limits the wider application of LLMs within broader geometrical domains, for exmaple interfacing with physics simulators. We propose symbolic intermediaries, compact analytical ex","authors_text":"Andr\\'e Freitas, Jo\\~ao Pedro Gandarela, Stefan Menzel, Thiago Rios","cross_cats":["cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2025-05-23T08:16:32Z","title":"Symbolic Intermediaries as a Linguistic-Numerical Interface for LLM-Driven Geometric Reasoning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.17607","kind":"arxiv","version":3},"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:f16c23f7ecfab1e8e7babc004cbbc6343354b6599b643bb8738636e1f6ac0320","target":"record","created_at":"2026-06-01T02:03:24Z","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":"3775799c8d2b907937f9ea852e1451d41ee6f21a8852150fbbb250fd720d181f","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2025-05-23T08:16:32Z","title_canon_sha256":"c5772a2600f0ac25d7144b3eb36129790f3c8600ba0886f15e51c3b60c10bb9f"},"schema_version":"1.0","source":{"id":"2505.17607","kind":"arxiv","version":3}},"canonical_sha256":"c30456138b7bf536a0917a2b885dd8143f789df4945e0dae2a8ce3c178bc1dd3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c30456138b7bf536a0917a2b885dd8143f789df4945e0dae2a8ce3c178bc1dd3","first_computed_at":"2026-06-01T02:03:24.031654Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-01T02:03:24.031654Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"JwkNQ09Uy9NB8d9/3C3vGwE4gkMlF8uhZBV1DEBjQczgFalgONqbijgXufJGtpzrEdPcdhxuPknh+HBTDVPhCw==","signature_status":"signed_v1","signed_at":"2026-06-01T02:03:24.032849Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.17607","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f16c23f7ecfab1e8e7babc004cbbc6343354b6599b643bb8738636e1f6ac0320","sha256:8c8b7f79989705f506c273ac115ec5dd8547fb5b26e2b74882d4a84c489d4d6b"],"state_sha256":"71eb2016c7f10e764ff2e4d491287d98fd946398cddf9aac86c12ab65e03bf02"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WomA5E3TMCpqzn3Iy3Tpv0rp3/qWZ24wIa839lW52pFV8FRjk/eXpFpN5NG+AaqRVgK/cWNOEhGpRqWtFH5cDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-10T19:07:15.000271Z","bundle_sha256":"23d0549615dc5f6946e57db2ea459fe954c09ef3bb890a720f235108018f4996"}}