{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:UBCLX2KZFE374PHMRES5IYBRFD","short_pith_number":"pith:UBCLX2KZ","canonical_record":{"source":{"id":"2607.15331","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-16T16:03:50Z","cross_cats_sorted":[],"title_canon_sha256":"05a24eab0ea9d4e6e42464ca6f9d357860093e75dc29483d9b6ab78b2671e399","abstract_canon_sha256":"0f8a6dc4c839b25786cdd5014b67a624c713484532f1c38231c4999e43ca773b"},"schema_version":"1.0"},"canonical_sha256":"a044bbe9592937fe3cec8925d4603128cc172f6c09db675926c1d70702131a25","source":{"kind":"arxiv","id":"2607.15331","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.15331","created_at":"2026-07-20T00:18:27Z"},{"alias_kind":"arxiv_version","alias_value":"2607.15331v1","created_at":"2026-07-20T00:18:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.15331","created_at":"2026-07-20T00:18:27Z"},{"alias_kind":"pith_short_12","alias_value":"UBCLX2KZFE37","created_at":"2026-07-20T00:18:27Z"},{"alias_kind":"pith_short_16","alias_value":"UBCLX2KZFE374PHM","created_at":"2026-07-20T00:18:27Z"},{"alias_kind":"pith_short_8","alias_value":"UBCLX2KZ","created_at":"2026-07-20T00:18:27Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:UBCLX2KZFE374PHMRES5IYBRFD","target":"record","payload":{"canonical_record":{"source":{"id":"2607.15331","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-16T16:03:50Z","cross_cats_sorted":[],"title_canon_sha256":"05a24eab0ea9d4e6e42464ca6f9d357860093e75dc29483d9b6ab78b2671e399","abstract_canon_sha256":"0f8a6dc4c839b25786cdd5014b67a624c713484532f1c38231c4999e43ca773b"},"schema_version":"1.0"},"canonical_sha256":"a044bbe9592937fe3cec8925d4603128cc172f6c09db675926c1d70702131a25","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-20T00:18:27.449389Z","signature_b64":"v0vuvh8wYypJDSzMEJSbblvFO/qv0ZCRA+BhbRD23NczVWS7Pt9iU/3t2ACwVIggxdsyiBa6Mmed5399ABeaCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a044bbe9592937fe3cec8925d4603128cc172f6c09db675926c1d70702131a25","last_reissued_at":"2026-07-20T00:18:27.448591Z","signature_status":"signed_v1","first_computed_at":"2026-07-20T00:18:27.448591Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.15331","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":"2026-07-20T00:18:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"S6fn+KkA1m/FDLLslnpeqZdGRIsauPtxJKlG45oxKjX+WDben44CXh1SqTd1zq/kztxAPMXv4nNs9Er8iOe+Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T17:06:26.705841Z"},"content_sha256":"8603cce3cabd32a934d7284f4a83a7bdee2f80494c36e276205d87c3b554147b","schema_version":"1.0","event_id":"sha256:8603cce3cabd32a934d7284f4a83a7bdee2f80494c36e276205d87c3b554147b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:UBCLX2KZFE374PHMRES5IYBRFD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Training-Free Open-Vocabulary 3D Point-Cloud Segmentation on the Generalized Few-Shot Benchmark","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Ebenezer Owusu, Silas Kwabla Gah","submitted_at":"2026-07-16T16:03:50Z","abstract_excerpt":"Generalized few-shot 3D point-cloud segmentation (GFS-PCS) asks a model to segment a scene into many base classes seen at training time and a set of novel classes. The state of the art reaches novel classes by reconciling a dense but noisy 3D vision-language prior with the few-shot support, but it pays for this with base 3D labels, per-episode training, and the support annotations themselves. We ask how far the same reconciliation can go with none of these: no training, no 3D labels, and not even the few-shot support. We pair a frozen 3D vision-language model (RegionPLC) as a dense prior with "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.15331","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/2607.15331/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":"2026-07-20T00:18:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3ZQLMgzwz4j1mavxbzqCXA0bnDKUgXhB3iIsIJjr//LpuHNh1P2B01boPduak6CU+WCPxJWyImYp2hRcAEX8DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T17:06:26.706442Z"},"content_sha256":"2cd36ecfe39a56d3e79b926fbe20e0ab21955a37df27ba6498cd62f206fb68a3","schema_version":"1.0","event_id":"sha256:2cd36ecfe39a56d3e79b926fbe20e0ab21955a37df27ba6498cd62f206fb68a3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UBCLX2KZFE374PHMRES5IYBRFD/bundle.json","state_url":"https://pith.science/pith/UBCLX2KZFE374PHMRES5IYBRFD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UBCLX2KZFE374PHMRES5IYBRFD/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":"2026-08-23T17:06:26Z","links":{"resolver":"https://pith.science/pith/UBCLX2KZFE374PHMRES5IYBRFD","bundle":"https://pith.science/pith/UBCLX2KZFE374PHMRES5IYBRFD/bundle.json","state":"https://pith.science/pith/UBCLX2KZFE374PHMRES5IYBRFD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UBCLX2KZFE374PHMRES5IYBRFD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:UBCLX2KZFE374PHMRES5IYBRFD","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":"0f8a6dc4c839b25786cdd5014b67a624c713484532f1c38231c4999e43ca773b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-16T16:03:50Z","title_canon_sha256":"05a24eab0ea9d4e6e42464ca6f9d357860093e75dc29483d9b6ab78b2671e399"},"schema_version":"1.0","source":{"id":"2607.15331","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.15331","created_at":"2026-07-20T00:18:27Z"},{"alias_kind":"arxiv_version","alias_value":"2607.15331v1","created_at":"2026-07-20T00:18:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.15331","created_at":"2026-07-20T00:18:27Z"},{"alias_kind":"pith_short_12","alias_value":"UBCLX2KZFE37","created_at":"2026-07-20T00:18:27Z"},{"alias_kind":"pith_short_16","alias_value":"UBCLX2KZFE374PHM","created_at":"2026-07-20T00:18:27Z"},{"alias_kind":"pith_short_8","alias_value":"UBCLX2KZ","created_at":"2026-07-20T00:18:27Z"}],"graph_snapshots":[{"event_id":"sha256:2cd36ecfe39a56d3e79b926fbe20e0ab21955a37df27ba6498cd62f206fb68a3","target":"graph","created_at":"2026-07-20T00:18:27Z","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/2607.15331/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Generalized few-shot 3D point-cloud segmentation (GFS-PCS) asks a model to segment a scene into many base classes seen at training time and a set of novel classes. The state of the art reaches novel classes by reconciling a dense but noisy 3D vision-language prior with the few-shot support, but it pays for this with base 3D labels, per-episode training, and the support annotations themselves. We ask how far the same reconciliation can go with none of these: no training, no 3D labels, and not even the few-shot support. We pair a frozen 3D vision-language model (RegionPLC) as a dense prior with ","authors_text":"Ebenezer Owusu, Silas Kwabla Gah","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-16T16:03:50Z","title":"Training-Free Open-Vocabulary 3D Point-Cloud Segmentation on the Generalized Few-Shot Benchmark"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.15331","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":"sha256:8603cce3cabd32a934d7284f4a83a7bdee2f80494c36e276205d87c3b554147b","target":"record","created_at":"2026-07-20T00:18:27Z","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":"0f8a6dc4c839b25786cdd5014b67a624c713484532f1c38231c4999e43ca773b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-16T16:03:50Z","title_canon_sha256":"05a24eab0ea9d4e6e42464ca6f9d357860093e75dc29483d9b6ab78b2671e399"},"schema_version":"1.0","source":{"id":"2607.15331","kind":"arxiv","version":1}},"canonical_sha256":"a044bbe9592937fe3cec8925d4603128cc172f6c09db675926c1d70702131a25","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a044bbe9592937fe3cec8925d4603128cc172f6c09db675926c1d70702131a25","first_computed_at":"2026-07-20T00:18:27.448591Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-20T00:18:27.448591Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"v0vuvh8wYypJDSzMEJSbblvFO/qv0ZCRA+BhbRD23NczVWS7Pt9iU/3t2ACwVIggxdsyiBa6Mmed5399ABeaCQ==","signature_status":"signed_v1","signed_at":"2026-07-20T00:18:27.449389Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.15331","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8603cce3cabd32a934d7284f4a83a7bdee2f80494c36e276205d87c3b554147b","sha256:2cd36ecfe39a56d3e79b926fbe20e0ab21955a37df27ba6498cd62f206fb68a3"],"state_sha256":"c05d4f9efdb1da3c5c2fff3d4ee30a8d5b785a41756d01ac42842348119eb0e3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mKls3/g7d0uhwPUpOvRbDkGe+/9gjHAdZryjbQOd0+dq/bjZgeHzyY+AOfVLsYC8FhEzAr1ob/nw1LDkUJ8RCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-23T17:06:26.711332Z","bundle_sha256":"740d554225825679e0aa810143d3d67ca071510819452eebb8aefeb1404e8839"}}