{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:XH2HB3BZURDZMOJ4SYIJUD6TVA","short_pith_number":"pith:XH2HB3BZ","canonical_record":{"source":{"id":"2507.02250","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-03T02:58:39Z","cross_cats_sorted":[],"title_canon_sha256":"ce65d941a5889d1e3a9692f4ce756e59d7ec385b4283e026f04df190832a3ae3","abstract_canon_sha256":"131ad7bc98b8959ae6ff7a267fa25005e580b59de952dc28d7c564700b175612"},"schema_version":"1.0"},"canonical_sha256":"b9f470ec39a44796393c96109a0fd3a8192ebc6b9116a16c70d1db5748230cd4","source":{"kind":"arxiv","id":"2507.02250","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.02250","created_at":"2026-07-05T11:31:14Z"},{"alias_kind":"arxiv_version","alias_value":"2507.02250v1","created_at":"2026-07-05T11:31:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.02250","created_at":"2026-07-05T11:31:14Z"},{"alias_kind":"pith_short_12","alias_value":"XH2HB3BZURDZ","created_at":"2026-07-05T11:31:14Z"},{"alias_kind":"pith_short_16","alias_value":"XH2HB3BZURDZMOJ4","created_at":"2026-07-05T11:31:14Z"},{"alias_kind":"pith_short_8","alias_value":"XH2HB3BZ","created_at":"2026-07-05T11:31:14Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:XH2HB3BZURDZMOJ4SYIJUD6TVA","target":"record","payload":{"canonical_record":{"source":{"id":"2507.02250","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-03T02:58:39Z","cross_cats_sorted":[],"title_canon_sha256":"ce65d941a5889d1e3a9692f4ce756e59d7ec385b4283e026f04df190832a3ae3","abstract_canon_sha256":"131ad7bc98b8959ae6ff7a267fa25005e580b59de952dc28d7c564700b175612"},"schema_version":"1.0"},"canonical_sha256":"b9f470ec39a44796393c96109a0fd3a8192ebc6b9116a16c70d1db5748230cd4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:31:14.486124Z","signature_b64":"fOEN6XmoWgtjNZL7ylX+SHIrCHqUZmCW637BTOJDCD6ozpDSegbpjJsTNNUkwBXWl3zGgC4Eajd4OE7sd+jlCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b9f470ec39a44796393c96109a0fd3a8192ebc6b9116a16c70d1db5748230cd4","last_reissued_at":"2026-07-05T11:31:14.485618Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:31:14.485618Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.02250","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":"2026-07-05T11:31:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3RF0g67r1TTIgo8USlgShvQoXFkAMz20SWbX0vwb27Ecgd87kQ3mX8EEyjJxQBo0gejUeXSVVVAltWh07/51Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T04:21:03.841808Z"},"content_sha256":"85c9727ea94603af1115880d4ad6b9d0947324f56faaaea628a6b4caf8081a94","schema_version":"1.0","event_id":"sha256:85c9727ea94603af1115880d4ad6b9d0947324f56faaaea628a6b4caf8081a94"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:XH2HB3BZURDZMOJ4SYIJUD6TVA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"FMOcc: TPV-Driven Flow Matching for 3D Occupancy Prediction with Selective State Space Model","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jiangxia Chen, Ke Song, Tongyuan Huang","submitted_at":"2025-07-03T02:58:39Z","abstract_excerpt":"3D semantic occupancy prediction plays a pivotal role in autonomous driving. However, inherent limitations of fewframe images and redundancy in 3D space compromise prediction accuracy for occluded and distant scenes. Existing methods enhance performance by fusing historical frame data, which need additional data and significant computational resources. To address these issues, this paper propose FMOcc, a Tri-perspective View (TPV) refinement occupancy network with flow matching selective state space model for few-frame 3D occupancy prediction. Firstly, to generate missing features, we designed"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.02250","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/2507.02250/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":"2026-07-05T11:31:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zBSCYyJoslHHl8FFL8jAy43MNkI/2yo/kMybI9T+BiE2WIU0leCVQf+uD0gEktELT2zTuQlKaFywbqbdLobkDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T04:21:03.842326Z"},"content_sha256":"cbdd5fa9e36ebe8c77ccb3505d033642d547df42cfd2327f5d7f34b36ae3b303","schema_version":"1.0","event_id":"sha256:cbdd5fa9e36ebe8c77ccb3505d033642d547df42cfd2327f5d7f34b36ae3b303"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XH2HB3BZURDZMOJ4SYIJUD6TVA/bundle.json","state_url":"https://pith.science/pith/XH2HB3BZURDZMOJ4SYIJUD6TVA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XH2HB3BZURDZMOJ4SYIJUD6TVA/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":"2026-08-10T04:21:03Z","links":{"resolver":"https://pith.science/pith/XH2HB3BZURDZMOJ4SYIJUD6TVA","bundle":"https://pith.science/pith/XH2HB3BZURDZMOJ4SYIJUD6TVA/bundle.json","state":"https://pith.science/pith/XH2HB3BZURDZMOJ4SYIJUD6TVA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XH2HB3BZURDZMOJ4SYIJUD6TVA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:XH2HB3BZURDZMOJ4SYIJUD6TVA","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":"131ad7bc98b8959ae6ff7a267fa25005e580b59de952dc28d7c564700b175612","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-03T02:58:39Z","title_canon_sha256":"ce65d941a5889d1e3a9692f4ce756e59d7ec385b4283e026f04df190832a3ae3"},"schema_version":"1.0","source":{"id":"2507.02250","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.02250","created_at":"2026-07-05T11:31:14Z"},{"alias_kind":"arxiv_version","alias_value":"2507.02250v1","created_at":"2026-07-05T11:31:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.02250","created_at":"2026-07-05T11:31:14Z"},{"alias_kind":"pith_short_12","alias_value":"XH2HB3BZURDZ","created_at":"2026-07-05T11:31:14Z"},{"alias_kind":"pith_short_16","alias_value":"XH2HB3BZURDZMOJ4","created_at":"2026-07-05T11:31:14Z"},{"alias_kind":"pith_short_8","alias_value":"XH2HB3BZ","created_at":"2026-07-05T11:31:14Z"}],"graph_snapshots":[{"event_id":"sha256:cbdd5fa9e36ebe8c77ccb3505d033642d547df42cfd2327f5d7f34b36ae3b303","target":"graph","created_at":"2026-07-05T11:31:14Z","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/2507.02250/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"3D semantic occupancy prediction plays a pivotal role in autonomous driving. However, inherent limitations of fewframe images and redundancy in 3D space compromise prediction accuracy for occluded and distant scenes. Existing methods enhance performance by fusing historical frame data, which need additional data and significant computational resources. To address these issues, this paper propose FMOcc, a Tri-perspective View (TPV) refinement occupancy network with flow matching selective state space model for few-frame 3D occupancy prediction. Firstly, to generate missing features, we designed","authors_text":"Jiangxia Chen, Ke Song, Tongyuan Huang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-03T02:58:39Z","title":"FMOcc: TPV-Driven Flow Matching for 3D Occupancy Prediction with Selective State Space Model"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.02250","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":"sha256:85c9727ea94603af1115880d4ad6b9d0947324f56faaaea628a6b4caf8081a94","target":"record","created_at":"2026-07-05T11:31:14Z","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":"131ad7bc98b8959ae6ff7a267fa25005e580b59de952dc28d7c564700b175612","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-03T02:58:39Z","title_canon_sha256":"ce65d941a5889d1e3a9692f4ce756e59d7ec385b4283e026f04df190832a3ae3"},"schema_version":"1.0","source":{"id":"2507.02250","kind":"arxiv","version":1}},"canonical_sha256":"b9f470ec39a44796393c96109a0fd3a8192ebc6b9116a16c70d1db5748230cd4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b9f470ec39a44796393c96109a0fd3a8192ebc6b9116a16c70d1db5748230cd4","first_computed_at":"2026-07-05T11:31:14.485618Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:31:14.485618Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"fOEN6XmoWgtjNZL7ylX+SHIrCHqUZmCW637BTOJDCD6ozpDSegbpjJsTNNUkwBXWl3zGgC4Eajd4OE7sd+jlCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:31:14.486124Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.02250","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:85c9727ea94603af1115880d4ad6b9d0947324f56faaaea628a6b4caf8081a94","sha256:cbdd5fa9e36ebe8c77ccb3505d033642d547df42cfd2327f5d7f34b36ae3b303"],"state_sha256":"be937c7b583db736eb0eb8408d1b795a180b7a09faa197066a34d09eb12e2001"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5/nbwKHl1v8Ehrjl6/L1G7N7ncM3tHktzSLefAbwTB4P/HszMnazghMyI/KSJkB3jOU8flCkl4dfo9VN7x/LBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T04:21:03.846121Z","bundle_sha256":"cac2198864d23d4966e22a0e98a2acbeb9962d92c9bf87438eac5d8609249394"}}