{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:JNGZIENQ4W6KZ56X5YQ32EZE76","short_pith_number":"pith:JNGZIENQ","canonical_record":{"source":{"id":"2501.09887","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-01-17T00:18:34Z","cross_cats_sorted":[],"title_canon_sha256":"1d91cf3b972590f36dd70dd17cd2ed37a66e00e201dbe59d54603da82341533d","abstract_canon_sha256":"5fb8c84a4fb148e9d417ffee77f7214e7375130b5a2c560594bc8bf18c1b3e39"},"schema_version":"1.0"},"canonical_sha256":"4b4d9411b0e5bcacf7d7ee21bd1324ff883bb5b6b41f5c7dba78837d9fcdc798","source":{"kind":"arxiv","id":"2501.09887","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.09887","created_at":"2026-07-05T10:02:12Z"},{"alias_kind":"arxiv_version","alias_value":"2501.09887v1","created_at":"2026-07-05T10:02:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.09887","created_at":"2026-07-05T10:02:12Z"},{"alias_kind":"pith_short_12","alias_value":"JNGZIENQ4W6K","created_at":"2026-07-05T10:02:12Z"},{"alias_kind":"pith_short_16","alias_value":"JNGZIENQ4W6KZ56X","created_at":"2026-07-05T10:02:12Z"},{"alias_kind":"pith_short_8","alias_value":"JNGZIENQ","created_at":"2026-07-05T10:02:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:JNGZIENQ4W6KZ56X5YQ32EZE76","target":"record","payload":{"canonical_record":{"source":{"id":"2501.09887","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-01-17T00:18:34Z","cross_cats_sorted":[],"title_canon_sha256":"1d91cf3b972590f36dd70dd17cd2ed37a66e00e201dbe59d54603da82341533d","abstract_canon_sha256":"5fb8c84a4fb148e9d417ffee77f7214e7375130b5a2c560594bc8bf18c1b3e39"},"schema_version":"1.0"},"canonical_sha256":"4b4d9411b0e5bcacf7d7ee21bd1324ff883bb5b6b41f5c7dba78837d9fcdc798","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:02:12.930700Z","signature_b64":"CMc4b4rqXcr5PzHFkHRGus2yOPE4N/waqulen53DXjdpbL0VUNwZFBo80XWGodg/8CNUjKKmGWwiZoLsBMO4Bw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4b4d9411b0e5bcacf7d7ee21bd1324ff883bb5b6b41f5c7dba78837d9fcdc798","last_reissued_at":"2026-07-05T10:02:12.930288Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:02:12.930288Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2501.09887","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":"2026-07-05T10:02:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xWUt9Od+esTIXFETi0UcU/0MuR7KKbk/OGSWZ9ZkT2JTITT1dNxeZtPbIdaNj/c51+sdoTT5LI95PVfROLGqAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T00:11:21.591293Z"},"content_sha256":"8daba7c962dbf015b1289e67897a980ead5f34c08f3fdc58ff44babd5e5ad33b","schema_version":"1.0","event_id":"sha256:8daba7c962dbf015b1289e67897a980ead5f34c08f3fdc58ff44babd5e5ad33b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:JNGZIENQ4W6KZ56X5YQ32EZE76","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"FLORA: Formal Language Model Enables Robust Training-free Zero-shot Object Referring Analysis","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Zhe Chen, Zijing Chen","submitted_at":"2025-01-17T00:18:34Z","abstract_excerpt":"Object Referring Analysis (ORA), commonly known as referring expression comprehension, requires the identification and localization of specific objects in an image based on natural descriptions. Unlike generic object detection, ORA requires both accurate language understanding and precise visual localization, making it inherently more complex. Although recent pre-trained large visual grounding detectors have achieved significant progress, they heavily rely on extensively labeled data and time-consuming learning. To address these, we introduce a novel, training-free framework for zero-shot ORA,"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.09887","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/2501.09887/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":"2026-07-05T10:02:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lmN17KPCZ4QGlTRrAKyQ0EO8HeZqjMcc0QTy7xko36KEEx9CU7YeR1KeM7RXCpzXToAYcsZ9xsyBET6C13stBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T00:11:21.591814Z"},"content_sha256":"5d68089c86fd6f8eaaf5b2c0ec720c16dfb9c756d0d868a55855cb49f81e53e2","schema_version":"1.0","event_id":"sha256:5d68089c86fd6f8eaaf5b2c0ec720c16dfb9c756d0d868a55855cb49f81e53e2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JNGZIENQ4W6KZ56X5YQ32EZE76/bundle.json","state_url":"https://pith.science/pith/JNGZIENQ4W6KZ56X5YQ32EZE76/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JNGZIENQ4W6KZ56X5YQ32EZE76/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":"2026-08-18T00:11:21Z","links":{"resolver":"https://pith.science/pith/JNGZIENQ4W6KZ56X5YQ32EZE76","bundle":"https://pith.science/pith/JNGZIENQ4W6KZ56X5YQ32EZE76/bundle.json","state":"https://pith.science/pith/JNGZIENQ4W6KZ56X5YQ32EZE76/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JNGZIENQ4W6KZ56X5YQ32EZE76/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:JNGZIENQ4W6KZ56X5YQ32EZE76","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":"5fb8c84a4fb148e9d417ffee77f7214e7375130b5a2c560594bc8bf18c1b3e39","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-01-17T00:18:34Z","title_canon_sha256":"1d91cf3b972590f36dd70dd17cd2ed37a66e00e201dbe59d54603da82341533d"},"schema_version":"1.0","source":{"id":"2501.09887","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.09887","created_at":"2026-07-05T10:02:12Z"},{"alias_kind":"arxiv_version","alias_value":"2501.09887v1","created_at":"2026-07-05T10:02:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.09887","created_at":"2026-07-05T10:02:12Z"},{"alias_kind":"pith_short_12","alias_value":"JNGZIENQ4W6K","created_at":"2026-07-05T10:02:12Z"},{"alias_kind":"pith_short_16","alias_value":"JNGZIENQ4W6KZ56X","created_at":"2026-07-05T10:02:12Z"},{"alias_kind":"pith_short_8","alias_value":"JNGZIENQ","created_at":"2026-07-05T10:02:12Z"}],"graph_snapshots":[{"event_id":"sha256:5d68089c86fd6f8eaaf5b2c0ec720c16dfb9c756d0d868a55855cb49f81e53e2","target":"graph","created_at":"2026-07-05T10:02:12Z","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/2501.09887/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Object Referring Analysis (ORA), commonly known as referring expression comprehension, requires the identification and localization of specific objects in an image based on natural descriptions. Unlike generic object detection, ORA requires both accurate language understanding and precise visual localization, making it inherently more complex. Although recent pre-trained large visual grounding detectors have achieved significant progress, they heavily rely on extensively labeled data and time-consuming learning. To address these, we introduce a novel, training-free framework for zero-shot ORA,","authors_text":"Zhe Chen, Zijing Chen","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-01-17T00:18:34Z","title":"FLORA: Formal Language Model Enables Robust Training-free Zero-shot Object Referring Analysis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.09887","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":"sha256:8daba7c962dbf015b1289e67897a980ead5f34c08f3fdc58ff44babd5e5ad33b","target":"record","created_at":"2026-07-05T10:02:12Z","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":"5fb8c84a4fb148e9d417ffee77f7214e7375130b5a2c560594bc8bf18c1b3e39","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-01-17T00:18:34Z","title_canon_sha256":"1d91cf3b972590f36dd70dd17cd2ed37a66e00e201dbe59d54603da82341533d"},"schema_version":"1.0","source":{"id":"2501.09887","kind":"arxiv","version":1}},"canonical_sha256":"4b4d9411b0e5bcacf7d7ee21bd1324ff883bb5b6b41f5c7dba78837d9fcdc798","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4b4d9411b0e5bcacf7d7ee21bd1324ff883bb5b6b41f5c7dba78837d9fcdc798","first_computed_at":"2026-07-05T10:02:12.930288Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:02:12.930288Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"CMc4b4rqXcr5PzHFkHRGus2yOPE4N/waqulen53DXjdpbL0VUNwZFBo80XWGodg/8CNUjKKmGWwiZoLsBMO4Bw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:02:12.930700Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.09887","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8daba7c962dbf015b1289e67897a980ead5f34c08f3fdc58ff44babd5e5ad33b","sha256:5d68089c86fd6f8eaaf5b2c0ec720c16dfb9c756d0d868a55855cb49f81e53e2"],"state_sha256":"31856a3702199cfb64510d5b77cfc6301b8858f3c4c0d1d472cf67b80b81a8af"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xyMDgFIYnYYf5lODG06UUj6PhU6ZSk19pi2hETZM+VKbX0v5/35UhRtKAPDcmIJWh1Od3N+gFqo5okPGkEivDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T00:11:21.597126Z","bundle_sha256":"591fd5b6c6b8419193a8892160f2a0205f2cce5761e80f0d8462547ce5a043e4"}}