{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:MQSLTWSSN4VLOBSH4AJFWICWVE","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":"cbdceb3d1a6a72393a05f23abcf7315ba7851704e4253cd11020998ebe955cf4","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-02-23T19:09:01Z","title_canon_sha256":"10f57e4498ac5f895c8dfceb538fd1ac860e7470bc8918469073b0790d61c844"},"schema_version":"1.0","source":{"id":"2502.16690","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.16690","created_at":"2026-07-05T10:18:57Z"},{"alias_kind":"arxiv_version","alias_value":"2502.16690v1","created_at":"2026-07-05T10:18:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.16690","created_at":"2026-07-05T10:18:57Z"},{"alias_kind":"pith_short_12","alias_value":"MQSLTWSSN4VL","created_at":"2026-07-05T10:18:57Z"},{"alias_kind":"pith_short_16","alias_value":"MQSLTWSSN4VLOBSH","created_at":"2026-07-05T10:18:57Z"},{"alias_kind":"pith_short_8","alias_value":"MQSLTWSS","created_at":"2026-07-05T10:18:57Z"}],"graph_snapshots":[{"event_id":"sha256:7f7604b16440409d8f898b397f4e4641d5b6fe62fd61447dc0194b122544ceef","target":"graph","created_at":"2026-07-05T10:18:57Z","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/2502.16690/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Understanding how large language models (LLMs) represent and reason about spatial information is crucial for building robust agentic systems that can navigate real and simulated environments. In this work, we investigate the influence of different text-based spatial representations on LLM performance and internal activations in a grid-world navigation task. By evaluating models of various sizes on a task that requires navigating toward a goal, we examine how the format used to encode spatial information impacts decision-making. Our experiments reveal that cartesian representations of space con","authors_text":"Nicolas Martorell","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-02-23T19:09:01Z","title":"From Text to Space: Mapping Abstract Spatial Models in LLMs during a Grid-World Navigation Task"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.16690","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:c8bf00ee6176d404a15de6a08b9f9c31926cd0b4d914c2f6ee347a613022657a","target":"record","created_at":"2026-07-05T10:18:57Z","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":"cbdceb3d1a6a72393a05f23abcf7315ba7851704e4253cd11020998ebe955cf4","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-02-23T19:09:01Z","title_canon_sha256":"10f57e4498ac5f895c8dfceb538fd1ac860e7470bc8918469073b0790d61c844"},"schema_version":"1.0","source":{"id":"2502.16690","kind":"arxiv","version":1}},"canonical_sha256":"6424b9da526f2ab70647e0125b2056a932300f160fedd5ec19cec989eff08bd3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6424b9da526f2ab70647e0125b2056a932300f160fedd5ec19cec989eff08bd3","first_computed_at":"2026-07-05T10:18:57.723531Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:18:57.723531Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"puqpG1j7hi/yvkf3QstmcFl7YtH/DT9C+viwDSCsiW6cM2iXlwfAVKzDYGNDtZFdtdn0PYfDd8UpFzUoz1RWDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:18:57.726182Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.16690","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c8bf00ee6176d404a15de6a08b9f9c31926cd0b4d914c2f6ee347a613022657a","sha256:7f7604b16440409d8f898b397f4e4641d5b6fe62fd61447dc0194b122544ceef"],"state_sha256":"a4a2662f81c46686a4789871c44f9f5de8d2310af7ce9cf48e4f226b6435b174"}