{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:BZTBBQ7J5673JOHYO3I2VIU2W7","short_pith_number":"pith:BZTBBQ7J","canonical_record":{"source":{"id":"2605.22013","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-21T05:19:51Z","cross_cats_sorted":["cs.GR","cs.LG"],"title_canon_sha256":"964e71ebec0af7d62409c7b9912a5e493054c55face4141d21510304a1f1131d","abstract_canon_sha256":"1c584efacb2444323de7354efd8b216a5394f6edb1ba1c52f4dedca7cc68db59"},"schema_version":"1.0"},"canonical_sha256":"0e6610c3e9efbfb4b8f876d1aaa29ab7c6a3fe18bad258d20a997864b9d560f5","source":{"kind":"arxiv","id":"2605.22013","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.22013","created_at":"2026-05-22T01:04:20Z"},{"alias_kind":"arxiv_version","alias_value":"2605.22013v1","created_at":"2026-05-22T01:04:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.22013","created_at":"2026-05-22T01:04:20Z"},{"alias_kind":"pith_short_12","alias_value":"BZTBBQ7J5673","created_at":"2026-05-22T01:04:20Z"},{"alias_kind":"pith_short_16","alias_value":"BZTBBQ7J5673JOHY","created_at":"2026-05-22T01:04:20Z"},{"alias_kind":"pith_short_8","alias_value":"BZTBBQ7J","created_at":"2026-05-22T01:04:20Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:BZTBBQ7J5673JOHYO3I2VIU2W7","target":"record","payload":{"canonical_record":{"source":{"id":"2605.22013","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-21T05:19:51Z","cross_cats_sorted":["cs.GR","cs.LG"],"title_canon_sha256":"964e71ebec0af7d62409c7b9912a5e493054c55face4141d21510304a1f1131d","abstract_canon_sha256":"1c584efacb2444323de7354efd8b216a5394f6edb1ba1c52f4dedca7cc68db59"},"schema_version":"1.0"},"canonical_sha256":"0e6610c3e9efbfb4b8f876d1aaa29ab7c6a3fe18bad258d20a997864b9d560f5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-22T01:04:20.537931Z","signature_b64":"a9hN/OAf2HgtFMfkmEKRJsoVH/QLFNPNbur77tw++ugVdhpf7fzKwqJewr9NKy/pqtRc267JzYog1RsWnsFvAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0e6610c3e9efbfb4b8f876d1aaa29ab7c6a3fe18bad258d20a997864b9d560f5","last_reissued_at":"2026-05-22T01:04:20.537154Z","signature_status":"signed_v1","first_computed_at":"2026-05-22T01:04:20.537154Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.22013","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":"2026-05-22T01:04:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AYmbzr+D/NuVR9GPzEv/01wfl0w3hpuGQ0fSqaxYkiornQ0jWo7+RTqzkJ15OCah0awDTQxIE893VeU4A+B5DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-30T19:51:16.708790Z"},"content_sha256":"b661e9a7c8dab8e288c5a45344ba29889d15d5bb1ec4f9960123b9113d6e898f","schema_version":"1.0","event_id":"sha256:b661e9a7c8dab8e288c5a45344ba29889d15d5bb1ec4f9960123b9113d6e898f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:BZTBBQ7J5673JOHYO3I2VIU2W7","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"PointLLM-R: Enhancing 3D Point Cloud Reasoning via Chain-of-Thought","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.GR","cs.LG"],"primary_cat":"cs.CV","authors_text":"Chaoqi Chen, Hui Huang, Qile Xu, Wenjun Zhou","submitted_at":"2026-05-21T05:19:51Z","abstract_excerpt":"Understanding 3D point clouds through language remains a fundamental challenge in computer graphics and visual computing, due to the irregular structure of point cloud data and the lack of explicit reasoning in existing 3D multimodal models. While Chain-of-Thought (CoT) reasoning has shown strong effectiveness in LLMs and image-based MLLMs, its extension to 3D understanding remains largely underexplored. In this paper, we propose a data-centric framework for constructing large-scale CoT supervision tailored to 3D point cloud understanding. Our framework consists of a two-stage pipeline that fi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.22013","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/2605.22013/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":"2026-05-22T01:04:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kXB1SaICj5WdkuzffyIlwdH2aAGlgoGsmvZb3RoeIhpj99dCb+WEBs/kYutqaj3l8BtxFG+esuMUZld073NUCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-30T19:51:16.709440Z"},"content_sha256":"79439d7a0182f4f312fd20fc5c1d61331acc25dddb9a9f8fd8b64da5d18305ab","schema_version":"1.0","event_id":"sha256:79439d7a0182f4f312fd20fc5c1d61331acc25dddb9a9f8fd8b64da5d18305ab"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BZTBBQ7J5673JOHYO3I2VIU2W7/bundle.json","state_url":"https://pith.science/pith/BZTBBQ7J5673JOHYO3I2VIU2W7/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BZTBBQ7J5673JOHYO3I2VIU2W7/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":"2026-06-30T19:51:16Z","links":{"resolver":"https://pith.science/pith/BZTBBQ7J5673JOHYO3I2VIU2W7","bundle":"https://pith.science/pith/BZTBBQ7J5673JOHYO3I2VIU2W7/bundle.json","state":"https://pith.science/pith/BZTBBQ7J5673JOHYO3I2VIU2W7/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BZTBBQ7J5673JOHYO3I2VIU2W7/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:BZTBBQ7J5673JOHYO3I2VIU2W7","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":"1c584efacb2444323de7354efd8b216a5394f6edb1ba1c52f4dedca7cc68db59","cross_cats_sorted":["cs.GR","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-21T05:19:51Z","title_canon_sha256":"964e71ebec0af7d62409c7b9912a5e493054c55face4141d21510304a1f1131d"},"schema_version":"1.0","source":{"id":"2605.22013","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.22013","created_at":"2026-05-22T01:04:20Z"},{"alias_kind":"arxiv_version","alias_value":"2605.22013v1","created_at":"2026-05-22T01:04:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.22013","created_at":"2026-05-22T01:04:20Z"},{"alias_kind":"pith_short_12","alias_value":"BZTBBQ7J5673","created_at":"2026-05-22T01:04:20Z"},{"alias_kind":"pith_short_16","alias_value":"BZTBBQ7J5673JOHY","created_at":"2026-05-22T01:04:20Z"},{"alias_kind":"pith_short_8","alias_value":"BZTBBQ7J","created_at":"2026-05-22T01:04:20Z"}],"graph_snapshots":[{"event_id":"sha256:79439d7a0182f4f312fd20fc5c1d61331acc25dddb9a9f8fd8b64da5d18305ab","target":"graph","created_at":"2026-05-22T01:04:20Z","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/2605.22013/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Understanding 3D point clouds through language remains a fundamental challenge in computer graphics and visual computing, due to the irregular structure of point cloud data and the lack of explicit reasoning in existing 3D multimodal models. While Chain-of-Thought (CoT) reasoning has shown strong effectiveness in LLMs and image-based MLLMs, its extension to 3D understanding remains largely underexplored. In this paper, we propose a data-centric framework for constructing large-scale CoT supervision tailored to 3D point cloud understanding. Our framework consists of a two-stage pipeline that fi","authors_text":"Chaoqi Chen, Hui Huang, Qile Xu, Wenjun Zhou","cross_cats":["cs.GR","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-21T05:19:51Z","title":"PointLLM-R: Enhancing 3D Point Cloud Reasoning via Chain-of-Thought"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.22013","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:b661e9a7c8dab8e288c5a45344ba29889d15d5bb1ec4f9960123b9113d6e898f","target":"record","created_at":"2026-05-22T01:04:20Z","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":"1c584efacb2444323de7354efd8b216a5394f6edb1ba1c52f4dedca7cc68db59","cross_cats_sorted":["cs.GR","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-21T05:19:51Z","title_canon_sha256":"964e71ebec0af7d62409c7b9912a5e493054c55face4141d21510304a1f1131d"},"schema_version":"1.0","source":{"id":"2605.22013","kind":"arxiv","version":1}},"canonical_sha256":"0e6610c3e9efbfb4b8f876d1aaa29ab7c6a3fe18bad258d20a997864b9d560f5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0e6610c3e9efbfb4b8f876d1aaa29ab7c6a3fe18bad258d20a997864b9d560f5","first_computed_at":"2026-05-22T01:04:20.537154Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-22T01:04:20.537154Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"a9hN/OAf2HgtFMfkmEKRJsoVH/QLFNPNbur77tw++ugVdhpf7fzKwqJewr9NKy/pqtRc267JzYog1RsWnsFvAw==","signature_status":"signed_v1","signed_at":"2026-05-22T01:04:20.537931Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.22013","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b661e9a7c8dab8e288c5a45344ba29889d15d5bb1ec4f9960123b9113d6e898f","sha256:79439d7a0182f4f312fd20fc5c1d61331acc25dddb9a9f8fd8b64da5d18305ab"],"state_sha256":"49ab6ba74309b0d80a3eac48efe4299edcaed9cb09771dfebc8708b292b77e6f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"k3IB3Boq8Dul02r2G1UZAwAfhUkqJnAkB8y0XzV6oaEJVAP5Ob9Uke/lgJbP9kXkm0VZvK2TKNeg667+5h7CAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-30T19:51:16.712479Z","bundle_sha256":"893b2027f9147b6c6aa7ab6005796d305f6070ac524826f1d448d9a8b0cf8ee7"}}