{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:EHAVULVVDC2OVIUI2O4DYX7PIR","short_pith_number":"pith:EHAVULVV","canonical_record":{"source":{"id":"2506.01918","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-02T17:38:59Z","cross_cats_sorted":[],"title_canon_sha256":"ac7246ade483526069696a5b2e6af967343a4c4f305d7b3d47576653a16c24f6","abstract_canon_sha256":"880e94b5de17374b3a15e7cf6ecfaf91abe7612eb87df3669309184100d8af1c"},"schema_version":"1.0"},"canonical_sha256":"21c15a2eb518b4eaa288d3b83c5fef4470c5584e2300df96af516374eb984c03","source":{"kind":"arxiv","id":"2506.01918","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.01918","created_at":"2026-07-05T11:14:21Z"},{"alias_kind":"arxiv_version","alias_value":"2506.01918v1","created_at":"2026-07-05T11:14:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.01918","created_at":"2026-07-05T11:14:21Z"},{"alias_kind":"pith_short_12","alias_value":"EHAVULVVDC2O","created_at":"2026-07-05T11:14:21Z"},{"alias_kind":"pith_short_16","alias_value":"EHAVULVVDC2OVIUI","created_at":"2026-07-05T11:14:21Z"},{"alias_kind":"pith_short_8","alias_value":"EHAVULVV","created_at":"2026-07-05T11:14:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:EHAVULVVDC2OVIUI2O4DYX7PIR","target":"record","payload":{"canonical_record":{"source":{"id":"2506.01918","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-02T17:38:59Z","cross_cats_sorted":[],"title_canon_sha256":"ac7246ade483526069696a5b2e6af967343a4c4f305d7b3d47576653a16c24f6","abstract_canon_sha256":"880e94b5de17374b3a15e7cf6ecfaf91abe7612eb87df3669309184100d8af1c"},"schema_version":"1.0"},"canonical_sha256":"21c15a2eb518b4eaa288d3b83c5fef4470c5584e2300df96af516374eb984c03","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:14:21.346604Z","signature_b64":"v1aiSIdf98+04RG/pNrY7Sc82aJGLo4PiETPY2dvIhsAJbVwrkSVXAG3XxRtwKRzCAQmwUkyvU8NHeeBOTtpBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"21c15a2eb518b4eaa288d3b83c5fef4470c5584e2300df96af516374eb984c03","last_reissued_at":"2026-07-05T11:14:21.346083Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:14:21.346083Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.01918","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":"2026-07-05T11:14:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dGm1q9k/IG4R2MRoPQHJglNKiRjtDsem/kczNuQqD5bPzvzWYy1QSDMav+rac0fqjI1VmNMo6Kl9YoZFcTtvCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T03:41:38.417772Z"},"content_sha256":"2db16c581590ad5cb0f3a9298436350b7e50db99a2973f8b07cad72510856028","schema_version":"1.0","event_id":"sha256:2db16c581590ad5cb0f3a9298436350b7e50db99a2973f8b07cad72510856028"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:EHAVULVVDC2OVIUI2O4DYX7PIR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Spatial Coordinates as a Cell Language: A Multi-Sentence Framework for Imaging Mass Cytometry Analysis","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Chi-Jane Chen, Natalie Stanley, Sukwon Yun, Tianlong Chen, Yuhang Chen","submitted_at":"2025-06-02T17:38:59Z","abstract_excerpt":"Image mass cytometry (IMC) enables high-dimensional spatial profiling by combining mass cytometry's analytical power with spatial distributions of cell phenotypes. Recent studies leverage large language models (LLMs) to extract cell states by translating gene or protein expression into biological context. However, existing single-cell LLMs face two major challenges: (1) Integration of spatial information: they struggle to generalize spatial coordinates and effectively encode spatial context as text, and (2) Treating each cell independently: they overlook cell-cell interactions, limiting their "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.01918","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/2506.01918/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":"2026-07-05T11:14:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lLaV9zkz3ajdseRinDCpNuqagk87Tk2uDJLOslmJjTuofLFp4ayLEVXhIrtFcTh96UqLfKU9o1tDJkSl4V0VCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T03:41:38.418263Z"},"content_sha256":"9a65bdfb9942e2a03b4fca7b30611550d15f519289f9cb0f4830c572843c783f","schema_version":"1.0","event_id":"sha256:9a65bdfb9942e2a03b4fca7b30611550d15f519289f9cb0f4830c572843c783f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EHAVULVVDC2OVIUI2O4DYX7PIR/bundle.json","state_url":"https://pith.science/pith/EHAVULVVDC2OVIUI2O4DYX7PIR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EHAVULVVDC2OVIUI2O4DYX7PIR/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":"2026-08-08T03:41:38Z","links":{"resolver":"https://pith.science/pith/EHAVULVVDC2OVIUI2O4DYX7PIR","bundle":"https://pith.science/pith/EHAVULVVDC2OVIUI2O4DYX7PIR/bundle.json","state":"https://pith.science/pith/EHAVULVVDC2OVIUI2O4DYX7PIR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EHAVULVVDC2OVIUI2O4DYX7PIR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:EHAVULVVDC2OVIUI2O4DYX7PIR","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":"880e94b5de17374b3a15e7cf6ecfaf91abe7612eb87df3669309184100d8af1c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-02T17:38:59Z","title_canon_sha256":"ac7246ade483526069696a5b2e6af967343a4c4f305d7b3d47576653a16c24f6"},"schema_version":"1.0","source":{"id":"2506.01918","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.01918","created_at":"2026-07-05T11:14:21Z"},{"alias_kind":"arxiv_version","alias_value":"2506.01918v1","created_at":"2026-07-05T11:14:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.01918","created_at":"2026-07-05T11:14:21Z"},{"alias_kind":"pith_short_12","alias_value":"EHAVULVVDC2O","created_at":"2026-07-05T11:14:21Z"},{"alias_kind":"pith_short_16","alias_value":"EHAVULVVDC2OVIUI","created_at":"2026-07-05T11:14:21Z"},{"alias_kind":"pith_short_8","alias_value":"EHAVULVV","created_at":"2026-07-05T11:14:21Z"}],"graph_snapshots":[{"event_id":"sha256:9a65bdfb9942e2a03b4fca7b30611550d15f519289f9cb0f4830c572843c783f","target":"graph","created_at":"2026-07-05T11:14:21Z","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/2506.01918/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Image mass cytometry (IMC) enables high-dimensional spatial profiling by combining mass cytometry's analytical power with spatial distributions of cell phenotypes. Recent studies leverage large language models (LLMs) to extract cell states by translating gene or protein expression into biological context. However, existing single-cell LLMs face two major challenges: (1) Integration of spatial information: they struggle to generalize spatial coordinates and effectively encode spatial context as text, and (2) Treating each cell independently: they overlook cell-cell interactions, limiting their ","authors_text":"Chi-Jane Chen, Natalie Stanley, Sukwon Yun, Tianlong Chen, Yuhang Chen","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-02T17:38:59Z","title":"Spatial Coordinates as a Cell Language: A Multi-Sentence Framework for Imaging Mass Cytometry Analysis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.01918","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":"sha256:2db16c581590ad5cb0f3a9298436350b7e50db99a2973f8b07cad72510856028","target":"record","created_at":"2026-07-05T11:14:21Z","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":"880e94b5de17374b3a15e7cf6ecfaf91abe7612eb87df3669309184100d8af1c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-02T17:38:59Z","title_canon_sha256":"ac7246ade483526069696a5b2e6af967343a4c4f305d7b3d47576653a16c24f6"},"schema_version":"1.0","source":{"id":"2506.01918","kind":"arxiv","version":1}},"canonical_sha256":"21c15a2eb518b4eaa288d3b83c5fef4470c5584e2300df96af516374eb984c03","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"21c15a2eb518b4eaa288d3b83c5fef4470c5584e2300df96af516374eb984c03","first_computed_at":"2026-07-05T11:14:21.346083Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:14:21.346083Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"v1aiSIdf98+04RG/pNrY7Sc82aJGLo4PiETPY2dvIhsAJbVwrkSVXAG3XxRtwKRzCAQmwUkyvU8NHeeBOTtpBA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:14:21.346604Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.01918","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2db16c581590ad5cb0f3a9298436350b7e50db99a2973f8b07cad72510856028","sha256:9a65bdfb9942e2a03b4fca7b30611550d15f519289f9cb0f4830c572843c783f"],"state_sha256":"b1e307eaee8378a27a4abd73a4be77ec0991db2ba950aef466fee220ebb37884"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VBjnffvm8FX6xGOrudRGocXG8hQkv5UAIeuDgi7S83JsGIh+Q6ma85Iwax8TNnXxVN+FwNLN45VI7+0LIy8HDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T03:41:38.421976Z","bundle_sha256":"1e6d24dc12f47e067a2446be60dbfbdb9cd40f837536a91bac66f52e34c3ee3c"}}