{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:UDKSN3HQDN7XPTOPF55C4I6OLW","short_pith_number":"pith:UDKSN3HQ","canonical_record":{"source":{"id":"2606.05368","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-03T19:16:35Z","cross_cats_sorted":[],"title_canon_sha256":"938519e17dd5777f31eb527a34ea0f7b5486239e4b83c01d96e6de6e3e4c7e81","abstract_canon_sha256":"7cf10e59b59f81e194fe72fb0ef2dab435325cda6d8ac61b8f14aac23b004a9d"},"schema_version":"1.0"},"canonical_sha256":"a0d526ecf01b7f77cdcf2f7a2e23ce5d9208889037cdbdfbf81e9098efa50e55","source":{"kind":"arxiv","id":"2606.05368","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.05368","created_at":"2026-06-05T00:13:55Z"},{"alias_kind":"arxiv_version","alias_value":"2606.05368v1","created_at":"2026-06-05T00:13:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.05368","created_at":"2026-06-05T00:13:55Z"},{"alias_kind":"pith_short_12","alias_value":"UDKSN3HQDN7X","created_at":"2026-06-05T00:13:55Z"},{"alias_kind":"pith_short_16","alias_value":"UDKSN3HQDN7XPTOP","created_at":"2026-06-05T00:13:55Z"},{"alias_kind":"pith_short_8","alias_value":"UDKSN3HQ","created_at":"2026-06-05T00:13:55Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:UDKSN3HQDN7XPTOPF55C4I6OLW","target":"record","payload":{"canonical_record":{"source":{"id":"2606.05368","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-03T19:16:35Z","cross_cats_sorted":[],"title_canon_sha256":"938519e17dd5777f31eb527a34ea0f7b5486239e4b83c01d96e6de6e3e4c7e81","abstract_canon_sha256":"7cf10e59b59f81e194fe72fb0ef2dab435325cda6d8ac61b8f14aac23b004a9d"},"schema_version":"1.0"},"canonical_sha256":"a0d526ecf01b7f77cdcf2f7a2e23ce5d9208889037cdbdfbf81e9098efa50e55","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-05T00:13:55.549451Z","signature_b64":"7UY8EG0l7uhfvulsDsbDzeBBS8KuUl5XfrsU6ewMcIpMtay6XfYlz1Vg4gONGpxEjaqGEFMG4qWoM2ERcjIXBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a0d526ecf01b7f77cdcf2f7a2e23ce5d9208889037cdbdfbf81e9098efa50e55","last_reissued_at":"2026-06-05T00:13:55.549029Z","signature_status":"signed_v1","first_computed_at":"2026-06-05T00:13:55.549029Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.05368","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":"2026-06-05T00:13:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vN3vfkK59pnQ3r5CrNC81etWEmLAOTwvk5T7KyUny9k+fRKaHW2/RFsrif2NEmF2XVrFNK/UnwnRGHda69neBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-11T21:10:53.483826Z"},"content_sha256":"e3bcecce94642ff61a9c523394ddf4fbe915597e46f980c66a76b4f8261c9c40","schema_version":"1.0","event_id":"sha256:e3bcecce94642ff61a9c523394ddf4fbe915597e46f980c66a76b4f8261c9c40"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:UDKSN3HQDN7XPTOPF55C4I6OLW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Biomazon: A Multimodal Dataset for 3D Forest Structure and Biomass Modeling in the Amazon Basin","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Ehsan Zandi, Gabriele Cavallaro, Mikhail Urbazaev, Morris Riedel, Rocco Sedona, Sayan Mandal, Simon Besnard","submitted_at":"2026-06-03T19:16:35Z","abstract_excerpt":"Accurate, spatially explicit characterization of tropical forest structure is essential for carbon accounting and ecosystem monitoring, yet most ML pipelines predict canopy-top height proxies (e.g., RH95/RH98) or AGBD as separate scalar targets, rather than learning the forest vertical structure as an ordered profile. The community lacks a ML-ready multimodal benchmark for predicting the entire GEDI RH profile jointly with AGBD, or for evaluating methods that enforce physically consistent ordering across RH percentiles. We address this with Biomazon, a 20 m multimodal benchmark dataset over th"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.05368","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/2606.05368/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":"2026-06-05T00:13:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"E4QAV2nEdmTFGe/J1AH9VcdEBOJ/cQR4e1ml5FRRPa6KbntEdPug7ULCMIdOrJN45LJhOdOvldUYL9cSHTJ0Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-11T21:10:53.484657Z"},"content_sha256":"f017952f07823bd24aa19a283eb956ef562f2eba958aea6833c953bbd6019238","schema_version":"1.0","event_id":"sha256:f017952f07823bd24aa19a283eb956ef562f2eba958aea6833c953bbd6019238"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UDKSN3HQDN7XPTOPF55C4I6OLW/bundle.json","state_url":"https://pith.science/pith/UDKSN3HQDN7XPTOPF55C4I6OLW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UDKSN3HQDN7XPTOPF55C4I6OLW/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":"2026-06-11T21:10:53Z","links":{"resolver":"https://pith.science/pith/UDKSN3HQDN7XPTOPF55C4I6OLW","bundle":"https://pith.science/pith/UDKSN3HQDN7XPTOPF55C4I6OLW/bundle.json","state":"https://pith.science/pith/UDKSN3HQDN7XPTOPF55C4I6OLW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UDKSN3HQDN7XPTOPF55C4I6OLW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:UDKSN3HQDN7XPTOPF55C4I6OLW","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":"7cf10e59b59f81e194fe72fb0ef2dab435325cda6d8ac61b8f14aac23b004a9d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-03T19:16:35Z","title_canon_sha256":"938519e17dd5777f31eb527a34ea0f7b5486239e4b83c01d96e6de6e3e4c7e81"},"schema_version":"1.0","source":{"id":"2606.05368","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.05368","created_at":"2026-06-05T00:13:55Z"},{"alias_kind":"arxiv_version","alias_value":"2606.05368v1","created_at":"2026-06-05T00:13:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.05368","created_at":"2026-06-05T00:13:55Z"},{"alias_kind":"pith_short_12","alias_value":"UDKSN3HQDN7X","created_at":"2026-06-05T00:13:55Z"},{"alias_kind":"pith_short_16","alias_value":"UDKSN3HQDN7XPTOP","created_at":"2026-06-05T00:13:55Z"},{"alias_kind":"pith_short_8","alias_value":"UDKSN3HQ","created_at":"2026-06-05T00:13:55Z"}],"graph_snapshots":[{"event_id":"sha256:f017952f07823bd24aa19a283eb956ef562f2eba958aea6833c953bbd6019238","target":"graph","created_at":"2026-06-05T00:13:55Z","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/2606.05368/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Accurate, spatially explicit characterization of tropical forest structure is essential for carbon accounting and ecosystem monitoring, yet most ML pipelines predict canopy-top height proxies (e.g., RH95/RH98) or AGBD as separate scalar targets, rather than learning the forest vertical structure as an ordered profile. The community lacks a ML-ready multimodal benchmark for predicting the entire GEDI RH profile jointly with AGBD, or for evaluating methods that enforce physically consistent ordering across RH percentiles. We address this with Biomazon, a 20 m multimodal benchmark dataset over th","authors_text":"Ehsan Zandi, Gabriele Cavallaro, Mikhail Urbazaev, Morris Riedel, Rocco Sedona, Sayan Mandal, Simon Besnard","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-03T19:16:35Z","title":"Biomazon: A Multimodal Dataset for 3D Forest Structure and Biomass Modeling in the Amazon Basin"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.05368","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:e3bcecce94642ff61a9c523394ddf4fbe915597e46f980c66a76b4f8261c9c40","target":"record","created_at":"2026-06-05T00:13:55Z","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":"7cf10e59b59f81e194fe72fb0ef2dab435325cda6d8ac61b8f14aac23b004a9d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-03T19:16:35Z","title_canon_sha256":"938519e17dd5777f31eb527a34ea0f7b5486239e4b83c01d96e6de6e3e4c7e81"},"schema_version":"1.0","source":{"id":"2606.05368","kind":"arxiv","version":1}},"canonical_sha256":"a0d526ecf01b7f77cdcf2f7a2e23ce5d9208889037cdbdfbf81e9098efa50e55","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a0d526ecf01b7f77cdcf2f7a2e23ce5d9208889037cdbdfbf81e9098efa50e55","first_computed_at":"2026-06-05T00:13:55.549029Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-05T00:13:55.549029Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7UY8EG0l7uhfvulsDsbDzeBBS8KuUl5XfrsU6ewMcIpMtay6XfYlz1Vg4gONGpxEjaqGEFMG4qWoM2ERcjIXBA==","signature_status":"signed_v1","signed_at":"2026-06-05T00:13:55.549451Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.05368","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e3bcecce94642ff61a9c523394ddf4fbe915597e46f980c66a76b4f8261c9c40","sha256:f017952f07823bd24aa19a283eb956ef562f2eba958aea6833c953bbd6019238"],"state_sha256":"b678f1e2d6e558984e31f8f3b764341e7ce23c93711478bb55b7de254920008d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9VOUlW2/62BKE03JevEtDc+z47w4/UaJQ+PxJyei1bC1S4hD3XardBmVMOy6m/PKOKNAWG93Yx1x+So4OilPBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-11T21:10:53.489027Z","bundle_sha256":"0e177299cb2ce0f313e813c4fde92df3b04cb9a423a14901630265150d593f19"}}