{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:6UFKNZKKS3EGHPWLPVPEDPQCDQ","short_pith_number":"pith:6UFKNZKK","canonical_record":{"source":{"id":"2310.10912","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-10-17T01:12:08Z","cross_cats_sorted":[],"title_canon_sha256":"95a8cc93fcf12c41349b6cdd43d4f2d4c1ca08e2cb7a5e0ecb6388ec6c327544","abstract_canon_sha256":"fc2866c9253254578e19cc535cdfc334cb2707e59241e3586778e8f3eab23b62"},"schema_version":"1.0"},"canonical_sha256":"f50aa6e54a96c863becb7d5e41be021c3c15ab60cf0ebe896fb8e537ffac62d0","source":{"kind":"arxiv","id":"2310.10912","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.10912","created_at":"2026-07-05T08:36:43Z"},{"alias_kind":"arxiv_version","alias_value":"2310.10912v3","created_at":"2026-07-05T08:36:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.10912","created_at":"2026-07-05T08:36:43Z"},{"alias_kind":"pith_short_12","alias_value":"6UFKNZKKS3EG","created_at":"2026-07-05T08:36:43Z"},{"alias_kind":"pith_short_16","alias_value":"6UFKNZKKS3EGHPWL","created_at":"2026-07-05T08:36:43Z"},{"alias_kind":"pith_short_8","alias_value":"6UFKNZKK","created_at":"2026-07-05T08:36:43Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:6UFKNZKKS3EGHPWLPVPEDPQCDQ","target":"record","payload":{"canonical_record":{"source":{"id":"2310.10912","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-10-17T01:12:08Z","cross_cats_sorted":[],"title_canon_sha256":"95a8cc93fcf12c41349b6cdd43d4f2d4c1ca08e2cb7a5e0ecb6388ec6c327544","abstract_canon_sha256":"fc2866c9253254578e19cc535cdfc334cb2707e59241e3586778e8f3eab23b62"},"schema_version":"1.0"},"canonical_sha256":"f50aa6e54a96c863becb7d5e41be021c3c15ab60cf0ebe896fb8e537ffac62d0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:36:43.942499Z","signature_b64":"O2Z5f+YsIxeZ9xFwHiAhYXQgGbD2iheoqWMyddYzc3GfaogJPS9HiIBsEcqBvngjuBc3kfl+Rp6SAoPDaVN2Aw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f50aa6e54a96c863becb7d5e41be021c3c15ab60cf0ebe896fb8e537ffac62d0","last_reissued_at":"2026-07-05T08:36:43.942020Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:36:43.942020Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2310.10912","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:36:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"r7rUXzj7Z1h98ltb/JnwauAXz4K1t0coFZFynphnhdlasTfcJjAtcWIavlDl+nlUg/R+/95smtaGuMdSkUhxBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T14:04:32.419063Z"},"content_sha256":"034f6629da6a6d8ac666a7af1954e3739b3a522532ed8c564c4056b9856321f4","schema_version":"1.0","event_id":"sha256:034f6629da6a6d8ac666a7af1954e3739b3a522532ed8c564c4056b9856321f4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:6UFKNZKKS3EGHPWLPVPEDPQCDQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Towards Training-free Open-world Segmentation via Image Prompt Foundation Models","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bo Li, Hao-Ke Xiao, Lv Tang, Peng-Tao Jiang","submitted_at":"2023-10-17T01:12:08Z","abstract_excerpt":"The realm of computer vision has witnessed a paradigm shift with the advent of foundational models, mirroring the transformative influence of large language models in the domain of natural language processing. This paper delves into the exploration of open-world segmentation, presenting a novel approach called Image Prompt Segmentation (IPSeg) that harnesses the power of vision foundational models. IPSeg lies the principle of a training-free paradigm, which capitalizes on image prompt techniques. Specifically, IPSeg utilizes a single image containing a subjective visual concept as a flexible p"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.10912","kind":"arxiv","version":3},"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/2310.10912/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":"2026-07-05T08:36:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CxFqsmI/n8AUbP0Z52ddjFZZCIp2FPC72WGOHWD4rVIrtpQcvPe7T6wh1Gdzb/TyKqzzSSzHeJHHnDn2tp79DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T14:04:32.419590Z"},"content_sha256":"1b0ef0a0df354943916401ce379680b4007936e20bf0a255e4e75562bf1fb381","schema_version":"1.0","event_id":"sha256:1b0ef0a0df354943916401ce379680b4007936e20bf0a255e4e75562bf1fb381"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6UFKNZKKS3EGHPWLPVPEDPQCDQ/bundle.json","state_url":"https://pith.science/pith/6UFKNZKKS3EGHPWLPVPEDPQCDQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6UFKNZKKS3EGHPWLPVPEDPQCDQ/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":"2026-08-05T14:04:32Z","links":{"resolver":"https://pith.science/pith/6UFKNZKKS3EGHPWLPVPEDPQCDQ","bundle":"https://pith.science/pith/6UFKNZKKS3EGHPWLPVPEDPQCDQ/bundle.json","state":"https://pith.science/pith/6UFKNZKKS3EGHPWLPVPEDPQCDQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6UFKNZKKS3EGHPWLPVPEDPQCDQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:6UFKNZKKS3EGHPWLPVPEDPQCDQ","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":"fc2866c9253254578e19cc535cdfc334cb2707e59241e3586778e8f3eab23b62","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-10-17T01:12:08Z","title_canon_sha256":"95a8cc93fcf12c41349b6cdd43d4f2d4c1ca08e2cb7a5e0ecb6388ec6c327544"},"schema_version":"1.0","source":{"id":"2310.10912","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.10912","created_at":"2026-07-05T08:36:43Z"},{"alias_kind":"arxiv_version","alias_value":"2310.10912v3","created_at":"2026-07-05T08:36:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.10912","created_at":"2026-07-05T08:36:43Z"},{"alias_kind":"pith_short_12","alias_value":"6UFKNZKKS3EG","created_at":"2026-07-05T08:36:43Z"},{"alias_kind":"pith_short_16","alias_value":"6UFKNZKKS3EGHPWL","created_at":"2026-07-05T08:36:43Z"},{"alias_kind":"pith_short_8","alias_value":"6UFKNZKK","created_at":"2026-07-05T08:36:43Z"}],"graph_snapshots":[{"event_id":"sha256:1b0ef0a0df354943916401ce379680b4007936e20bf0a255e4e75562bf1fb381","target":"graph","created_at":"2026-07-05T08:36:43Z","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/2310.10912/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The realm of computer vision has witnessed a paradigm shift with the advent of foundational models, mirroring the transformative influence of large language models in the domain of natural language processing. This paper delves into the exploration of open-world segmentation, presenting a novel approach called Image Prompt Segmentation (IPSeg) that harnesses the power of vision foundational models. IPSeg lies the principle of a training-free paradigm, which capitalizes on image prompt techniques. Specifically, IPSeg utilizes a single image containing a subjective visual concept as a flexible p","authors_text":"Bo Li, Hao-Ke Xiao, Lv Tang, Peng-Tao Jiang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-10-17T01:12:08Z","title":"Towards Training-free Open-world Segmentation via Image Prompt Foundation Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.10912","kind":"arxiv","version":3},"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":"sha256:034f6629da6a6d8ac666a7af1954e3739b3a522532ed8c564c4056b9856321f4","target":"record","created_at":"2026-07-05T08:36:43Z","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":"fc2866c9253254578e19cc535cdfc334cb2707e59241e3586778e8f3eab23b62","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-10-17T01:12:08Z","title_canon_sha256":"95a8cc93fcf12c41349b6cdd43d4f2d4c1ca08e2cb7a5e0ecb6388ec6c327544"},"schema_version":"1.0","source":{"id":"2310.10912","kind":"arxiv","version":3}},"canonical_sha256":"f50aa6e54a96c863becb7d5e41be021c3c15ab60cf0ebe896fb8e537ffac62d0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f50aa6e54a96c863becb7d5e41be021c3c15ab60cf0ebe896fb8e537ffac62d0","first_computed_at":"2026-07-05T08:36:43.942020Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:36:43.942020Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"O2Z5f+YsIxeZ9xFwHiAhYXQgGbD2iheoqWMyddYzc3GfaogJPS9HiIBsEcqBvngjuBc3kfl+Rp6SAoPDaVN2Aw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:36:43.942499Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.10912","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:034f6629da6a6d8ac666a7af1954e3739b3a522532ed8c564c4056b9856321f4","sha256:1b0ef0a0df354943916401ce379680b4007936e20bf0a255e4e75562bf1fb381"],"state_sha256":"4255e5c6f34b8e841106fed0428e0635d5ab7a941661056130302d29bf573aa1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ufv8w6z6c2qIKcujN2TGQxg5DG/fx6ZKXnQ6Jv89RX4biWOr5jUjEhzXIbH9RTYujTob/26+3v71OTJfPrdtAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T14:04:32.425405Z","bundle_sha256":"6e1c61b691358fe2284ad6155280e0725a8c8b3551d4e4b8a86c9927b5d08465"}}