{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:MACHVAPLMQCLWDX7ZRUPX4UL5Y","short_pith_number":"pith:MACHVAPL","canonical_record":{"source":{"id":"2606.29416","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-28T14:27:40Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"1c7d65ae3f61723e70ea691e73c5a77fbe5c8b5f17b6063da9ef0e9b07c04958","abstract_canon_sha256":"98334dcc25c7b47c939bdcb72a4afc16382779c66270d5e622bbe94971153bc7"},"schema_version":"1.0"},"canonical_sha256":"60047a81eb6404bb0effcc68fbf28bee1936f3a0536ecfa8c8188c2bc4c465eb","source":{"kind":"arxiv","id":"2606.29416","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.29416","created_at":"2026-06-30T01:18:05Z"},{"alias_kind":"arxiv_version","alias_value":"2606.29416v1","created_at":"2026-06-30T01:18:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.29416","created_at":"2026-06-30T01:18:05Z"},{"alias_kind":"pith_short_12","alias_value":"MACHVAPLMQCL","created_at":"2026-06-30T01:18:05Z"},{"alias_kind":"pith_short_16","alias_value":"MACHVAPLMQCLWDX7","created_at":"2026-06-30T01:18:05Z"},{"alias_kind":"pith_short_8","alias_value":"MACHVAPL","created_at":"2026-06-30T01:18:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:MACHVAPLMQCLWDX7ZRUPX4UL5Y","target":"record","payload":{"canonical_record":{"source":{"id":"2606.29416","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-28T14:27:40Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"1c7d65ae3f61723e70ea691e73c5a77fbe5c8b5f17b6063da9ef0e9b07c04958","abstract_canon_sha256":"98334dcc25c7b47c939bdcb72a4afc16382779c66270d5e622bbe94971153bc7"},"schema_version":"1.0"},"canonical_sha256":"60047a81eb6404bb0effcc68fbf28bee1936f3a0536ecfa8c8188c2bc4c465eb","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-30T01:18:05.418819Z","signature_b64":"7Y84QlpuCpk/GyrTjEHmuGSclaMswA+Q7jFE84nwCzlM135V9mpu5T9ARRvrHvhFl0T2c50ZVPTHqk8yzzCICw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"60047a81eb6404bb0effcc68fbf28bee1936f3a0536ecfa8c8188c2bc4c465eb","last_reissued_at":"2026-06-30T01:18:05.418251Z","signature_status":"signed_v1","first_computed_at":"2026-06-30T01:18:05.418251Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.29416","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":"2026-06-30T01:18:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pejx6cb6DW+8yKiTpAn3kWMQGdIhWyD+3dFzSDbqetCeiLJdrCNs9oSSnYBjfMzNGMsLY8Ka92UelkubDPC1Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-01T08:14:25.403485Z"},"content_sha256":"e24fd3774f889ee36c4841f60b57bc8c6d72e3f3cc92eb90bd93728d64cb6473","schema_version":"1.0","event_id":"sha256:e24fd3774f889ee36c4841f60b57bc8c6d72e3f3cc92eb90bd93728d64cb6473"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:MACHVAPLMQCLWDX7ZRUPX4UL5Y","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Can Machines Really See Objects in Images? A Study Based on Syntactic Distance and Visual Self-Referential Instances","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CV","authors_text":"Jiaheng Liu, Jichang Zhao, Junran Wu, Ke Xu, Li Dong, Shangzhe Li, Wenjun Wu, Xianglong Liu, Xingyu Peng, Yongxin Tong, Yue Hou, Zhongliang Qiao","submitted_at":"2026-06-28T14:27:40Z","abstract_excerpt":"Can a vision model truly see an object, or does it only fit surface-level visual cues? Following Wittgenstein's view that the limits of language are the limits of the world, we view a model's recognition ability as bounded by the descriptive system it has learned. In current vision models, this system is often realized through learned feature representations that exploit local statistical cues. We therefore ask whether a model can still classify correctly when such local cues provide no stable basis for distinction. We formalize this question with syntactic distance, which measures class separ"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.29416","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/2606.29416/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":"2026-06-30T01:18:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mzPXQeLi9BDY85DnLJhKhFnIpStZSqhvpW/ckXc+drBRBr+0BTq29wDQmjsGBOHt6kQ0Pg1TGwpjkd0/VV1sBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-01T08:14:25.404144Z"},"content_sha256":"889d3ae4f5de23cc695759ef42675d05705f5777c5cb17b4e95220c46e675344","schema_version":"1.0","event_id":"sha256:889d3ae4f5de23cc695759ef42675d05705f5777c5cb17b4e95220c46e675344"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MACHVAPLMQCLWDX7ZRUPX4UL5Y/bundle.json","state_url":"https://pith.science/pith/MACHVAPLMQCLWDX7ZRUPX4UL5Y/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MACHVAPLMQCLWDX7ZRUPX4UL5Y/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":"2026-07-01T08:14:25Z","links":{"resolver":"https://pith.science/pith/MACHVAPLMQCLWDX7ZRUPX4UL5Y","bundle":"https://pith.science/pith/MACHVAPLMQCLWDX7ZRUPX4UL5Y/bundle.json","state":"https://pith.science/pith/MACHVAPLMQCLWDX7ZRUPX4UL5Y/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MACHVAPLMQCLWDX7ZRUPX4UL5Y/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:MACHVAPLMQCLWDX7ZRUPX4UL5Y","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":"98334dcc25c7b47c939bdcb72a4afc16382779c66270d5e622bbe94971153bc7","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-28T14:27:40Z","title_canon_sha256":"1c7d65ae3f61723e70ea691e73c5a77fbe5c8b5f17b6063da9ef0e9b07c04958"},"schema_version":"1.0","source":{"id":"2606.29416","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.29416","created_at":"2026-06-30T01:18:05Z"},{"alias_kind":"arxiv_version","alias_value":"2606.29416v1","created_at":"2026-06-30T01:18:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.29416","created_at":"2026-06-30T01:18:05Z"},{"alias_kind":"pith_short_12","alias_value":"MACHVAPLMQCL","created_at":"2026-06-30T01:18:05Z"},{"alias_kind":"pith_short_16","alias_value":"MACHVAPLMQCLWDX7","created_at":"2026-06-30T01:18:05Z"},{"alias_kind":"pith_short_8","alias_value":"MACHVAPL","created_at":"2026-06-30T01:18:05Z"}],"graph_snapshots":[{"event_id":"sha256:889d3ae4f5de23cc695759ef42675d05705f5777c5cb17b4e95220c46e675344","target":"graph","created_at":"2026-06-30T01:18:05Z","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/2606.29416/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Can a vision model truly see an object, or does it only fit surface-level visual cues? Following Wittgenstein's view that the limits of language are the limits of the world, we view a model's recognition ability as bounded by the descriptive system it has learned. In current vision models, this system is often realized through learned feature representations that exploit local statistical cues. We therefore ask whether a model can still classify correctly when such local cues provide no stable basis for distinction. We formalize this question with syntactic distance, which measures class separ","authors_text":"Jiaheng Liu, Jichang Zhao, Junran Wu, Ke Xu, Li Dong, Shangzhe Li, Wenjun Wu, Xianglong Liu, Xingyu Peng, Yongxin Tong, Yue Hou, Zhongliang Qiao","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-28T14:27:40Z","title":"Can Machines Really See Objects in Images? A Study Based on Syntactic Distance and Visual Self-Referential Instances"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.29416","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:e24fd3774f889ee36c4841f60b57bc8c6d72e3f3cc92eb90bd93728d64cb6473","target":"record","created_at":"2026-06-30T01:18:05Z","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":"98334dcc25c7b47c939bdcb72a4afc16382779c66270d5e622bbe94971153bc7","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-28T14:27:40Z","title_canon_sha256":"1c7d65ae3f61723e70ea691e73c5a77fbe5c8b5f17b6063da9ef0e9b07c04958"},"schema_version":"1.0","source":{"id":"2606.29416","kind":"arxiv","version":1}},"canonical_sha256":"60047a81eb6404bb0effcc68fbf28bee1936f3a0536ecfa8c8188c2bc4c465eb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"60047a81eb6404bb0effcc68fbf28bee1936f3a0536ecfa8c8188c2bc4c465eb","first_computed_at":"2026-06-30T01:18:05.418251Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-30T01:18:05.418251Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7Y84QlpuCpk/GyrTjEHmuGSclaMswA+Q7jFE84nwCzlM135V9mpu5T9ARRvrHvhFl0T2c50ZVPTHqk8yzzCICw==","signature_status":"signed_v1","signed_at":"2026-06-30T01:18:05.418819Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.29416","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e24fd3774f889ee36c4841f60b57bc8c6d72e3f3cc92eb90bd93728d64cb6473","sha256:889d3ae4f5de23cc695759ef42675d05705f5777c5cb17b4e95220c46e675344"],"state_sha256":"3030508128feaee289053a61e0192c2b7b58a4c8bad73a5c789b103fb659f4ec"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TqYJVaZ5MSd639a4WU2yLgs8oqPT6CzQMtQCzTyGwyczC9JOWAFhLcUNC3j3q1KapRYrxT8JHONNMGXUXFwrBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-01T08:14:25.407570Z","bundle_sha256":"6ca1ae8ecf2faa2d8e026bbab8e6baffc7a8350a371fd7341a790057a2ca04ee"}}