{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:MIJUY66TK5NCVMLTZUSHWPPDVR","short_pith_number":"pith:MIJUY66T","canonical_record":{"source":{"id":"2606.00472","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-30T01:37:32Z","cross_cats_sorted":["cs.AI","cs.HC","cs.LG"],"title_canon_sha256":"931ddd7a348eafff1a5bec603e2904f649b0333bbc85eafc831b7a84c4b4225c","abstract_canon_sha256":"861c12839a341cc3967aaf555c0b2ca7156c20d76de2200ccc2eec9be63fb78b"},"schema_version":"1.0"},"canonical_sha256":"62134c7bd3575a2ab173cd247b3de3ac6d33961c7bdbdca10bf35126f672c0e3","source":{"kind":"arxiv","id":"2606.00472","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.00472","created_at":"2026-06-02T01:03:55Z"},{"alias_kind":"arxiv_version","alias_value":"2606.00472v1","created_at":"2026-06-02T01:03:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.00472","created_at":"2026-06-02T01:03:55Z"},{"alias_kind":"pith_short_12","alias_value":"MIJUY66TK5NC","created_at":"2026-06-02T01:03:55Z"},{"alias_kind":"pith_short_16","alias_value":"MIJUY66TK5NCVMLT","created_at":"2026-06-02T01:03:55Z"},{"alias_kind":"pith_short_8","alias_value":"MIJUY66T","created_at":"2026-06-02T01:03:55Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:MIJUY66TK5NCVMLTZUSHWPPDVR","target":"record","payload":{"canonical_record":{"source":{"id":"2606.00472","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-30T01:37:32Z","cross_cats_sorted":["cs.AI","cs.HC","cs.LG"],"title_canon_sha256":"931ddd7a348eafff1a5bec603e2904f649b0333bbc85eafc831b7a84c4b4225c","abstract_canon_sha256":"861c12839a341cc3967aaf555c0b2ca7156c20d76de2200ccc2eec9be63fb78b"},"schema_version":"1.0"},"canonical_sha256":"62134c7bd3575a2ab173cd247b3de3ac6d33961c7bdbdca10bf35126f672c0e3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-02T01:03:55.630050Z","signature_b64":"fiiIUhYri6AHlZkZ/u/KoXQph6d0Kkugp84CWN6zwtLGkmwQHmmzR3/W9Ru/bNlDogPXiNkJKK5xg3CMR2tGCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"62134c7bd3575a2ab173cd247b3de3ac6d33961c7bdbdca10bf35126f672c0e3","last_reissued_at":"2026-06-02T01:03:55.629653Z","signature_status":"signed_v1","first_computed_at":"2026-06-02T01:03:55.629653Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.00472","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":"2026-06-02T01:03:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3E+hW5OurOC4lCTdbSf0wCf88A7awvhu4Lwy8bsEbqMEC/AAG5/xyLE9Utct+X5cW+0Uao7nr+YVe905HTOsBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-29T19:28:35.255521Z"},"content_sha256":"5dfef247e42fbb3b693225a524ad10e475298a52d783263bfedcdbb18f187c93","schema_version":"1.0","event_id":"sha256:5dfef247e42fbb3b693225a524ad10e475298a52d783263bfedcdbb18f187c93"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:MIJUY66TK5NCVMLTZUSHWPPDVR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"CodeCytos: AI-assisted spatial molecular imaging analysis via code-augmented agent action space","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.AI","cs.HC","cs.LG"],"primary_cat":"cs.CV","authors_text":"Anh-Vu Nguyen, Hien V. Nguyen, Hong Zhao, Hung Q. Vo, Huy Q. Vo, Jianting Sheng, Son T. Ly, Stephen T. C. Wong, Zhihao Wan","submitted_at":"2026-05-30T01:37:32Z","abstract_excerpt":"Conventional tissue image analysis software provides foundational capabilities for cellular analysis, including segmentation, basic morphological feature extraction, and spatial organization analysis. However, these tools often require manual intervention and are not well integrated with code-driven automation, limiting efficiency and scalability for complex spatial tissue studies. In addition, they offer limited flexibility for custom analyses, as they typically support only a fixed set of pre-implemented spatial cellular features. To address these limitations, we propose CodeCytos, a coding-"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.00472","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/2606.00472/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":"2026-06-02T01:03:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nV28IG/opsoKVGucezYzoO7Bqqv1BRnaiR6N+1Rkyky+dAaFBJY0huQht9fGEUYI2BN+KK74KgK8spYGdTMkAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-29T19:28:35.255955Z"},"content_sha256":"d476b5ae7fda88fc7c518a12547f1a9245947089443293afe378e748b6fd4e71","schema_version":"1.0","event_id":"sha256:d476b5ae7fda88fc7c518a12547f1a9245947089443293afe378e748b6fd4e71"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MIJUY66TK5NCVMLTZUSHWPPDVR/bundle.json","state_url":"https://pith.science/pith/MIJUY66TK5NCVMLTZUSHWPPDVR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MIJUY66TK5NCVMLTZUSHWPPDVR/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":"2026-06-29T19:28:35Z","links":{"resolver":"https://pith.science/pith/MIJUY66TK5NCVMLTZUSHWPPDVR","bundle":"https://pith.science/pith/MIJUY66TK5NCVMLTZUSHWPPDVR/bundle.json","state":"https://pith.science/pith/MIJUY66TK5NCVMLTZUSHWPPDVR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MIJUY66TK5NCVMLTZUSHWPPDVR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:MIJUY66TK5NCVMLTZUSHWPPDVR","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":"861c12839a341cc3967aaf555c0b2ca7156c20d76de2200ccc2eec9be63fb78b","cross_cats_sorted":["cs.AI","cs.HC","cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-30T01:37:32Z","title_canon_sha256":"931ddd7a348eafff1a5bec603e2904f649b0333bbc85eafc831b7a84c4b4225c"},"schema_version":"1.0","source":{"id":"2606.00472","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.00472","created_at":"2026-06-02T01:03:55Z"},{"alias_kind":"arxiv_version","alias_value":"2606.00472v1","created_at":"2026-06-02T01:03:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.00472","created_at":"2026-06-02T01:03:55Z"},{"alias_kind":"pith_short_12","alias_value":"MIJUY66TK5NC","created_at":"2026-06-02T01:03:55Z"},{"alias_kind":"pith_short_16","alias_value":"MIJUY66TK5NCVMLT","created_at":"2026-06-02T01:03:55Z"},{"alias_kind":"pith_short_8","alias_value":"MIJUY66T","created_at":"2026-06-02T01:03:55Z"}],"graph_snapshots":[{"event_id":"sha256:d476b5ae7fda88fc7c518a12547f1a9245947089443293afe378e748b6fd4e71","target":"graph","created_at":"2026-06-02T01:03:55Z","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/2606.00472/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Conventional tissue image analysis software provides foundational capabilities for cellular analysis, including segmentation, basic morphological feature extraction, and spatial organization analysis. However, these tools often require manual intervention and are not well integrated with code-driven automation, limiting efficiency and scalability for complex spatial tissue studies. In addition, they offer limited flexibility for custom analyses, as they typically support only a fixed set of pre-implemented spatial cellular features. To address these limitations, we propose CodeCytos, a coding-","authors_text":"Anh-Vu Nguyen, Hien V. Nguyen, Hong Zhao, Hung Q. Vo, Huy Q. Vo, Jianting Sheng, Son T. Ly, Stephen T. C. Wong, Zhihao Wan","cross_cats":["cs.AI","cs.HC","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-30T01:37:32Z","title":"CodeCytos: AI-assisted spatial molecular imaging analysis via code-augmented agent action space"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.00472","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":"sha256:5dfef247e42fbb3b693225a524ad10e475298a52d783263bfedcdbb18f187c93","target":"record","created_at":"2026-06-02T01:03:55Z","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":"861c12839a341cc3967aaf555c0b2ca7156c20d76de2200ccc2eec9be63fb78b","cross_cats_sorted":["cs.AI","cs.HC","cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-30T01:37:32Z","title_canon_sha256":"931ddd7a348eafff1a5bec603e2904f649b0333bbc85eafc831b7a84c4b4225c"},"schema_version":"1.0","source":{"id":"2606.00472","kind":"arxiv","version":1}},"canonical_sha256":"62134c7bd3575a2ab173cd247b3de3ac6d33961c7bdbdca10bf35126f672c0e3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"62134c7bd3575a2ab173cd247b3de3ac6d33961c7bdbdca10bf35126f672c0e3","first_computed_at":"2026-06-02T01:03:55.629653Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-02T01:03:55.629653Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"fiiIUhYri6AHlZkZ/u/KoXQph6d0Kkugp84CWN6zwtLGkmwQHmmzR3/W9Ru/bNlDogPXiNkJKK5xg3CMR2tGCA==","signature_status":"signed_v1","signed_at":"2026-06-02T01:03:55.630050Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.00472","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5dfef247e42fbb3b693225a524ad10e475298a52d783263bfedcdbb18f187c93","sha256:d476b5ae7fda88fc7c518a12547f1a9245947089443293afe378e748b6fd4e71"],"state_sha256":"a758aa927c320ff0d05dda7db888458f7634703fc79b483384a1ed98ae6bc1eb"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QB4HEglVZDV6Ip2C8Grryq0eU/+1cAS7/Scmnfcy4SQCeRM0SYDZgm9QYAy1KoFYjiRt33u8AfU0ETRZgpetDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-29T19:28:35.258069Z","bundle_sha256":"f7b3966be504ea3d4b43741f89f562f47859af27d9f233f88473fad443360f9c"}}