{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:W5J4I2XJQDDRFJMTPCZRYBG2GB","short_pith_number":"pith:W5J4I2XJ","canonical_record":{"source":{"id":"2508.03753","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2025-08-04T06:18:03Z","cross_cats_sorted":["cs.CV","physics.data-an"],"title_canon_sha256":"0602f5eeda0b43efe64d2f6d8ecf21341ce517d2fa64dc9851171bd08b80859f","abstract_canon_sha256":"2c48aa49f2c6d2934b232787818fec004db6238f2ce339ab6a8d3d30dc712589"},"schema_version":"1.0"},"canonical_sha256":"b753c46ae980c712a59378b31c04da307c73ba5868ee82cb3584fb6b890ff37b","source":{"kind":"arxiv","id":"2508.03753","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.03753","created_at":"2026-07-05T11:49:14Z"},{"alias_kind":"arxiv_version","alias_value":"2508.03753v1","created_at":"2026-07-05T11:49:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.03753","created_at":"2026-07-05T11:49:14Z"},{"alias_kind":"pith_short_12","alias_value":"W5J4I2XJQDDR","created_at":"2026-07-05T11:49:14Z"},{"alias_kind":"pith_short_16","alias_value":"W5J4I2XJQDDRFJMT","created_at":"2026-07-05T11:49:14Z"},{"alias_kind":"pith_short_8","alias_value":"W5J4I2XJ","created_at":"2026-07-05T11:49:14Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:W5J4I2XJQDDRFJMTPCZRYBG2GB","target":"record","payload":{"canonical_record":{"source":{"id":"2508.03753","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2025-08-04T06:18:03Z","cross_cats_sorted":["cs.CV","physics.data-an"],"title_canon_sha256":"0602f5eeda0b43efe64d2f6d8ecf21341ce517d2fa64dc9851171bd08b80859f","abstract_canon_sha256":"2c48aa49f2c6d2934b232787818fec004db6238f2ce339ab6a8d3d30dc712589"},"schema_version":"1.0"},"canonical_sha256":"b753c46ae980c712a59378b31c04da307c73ba5868ee82cb3584fb6b890ff37b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:49:14.581915Z","signature_b64":"l2kujRIMz6/j6ieJzVh37HvS1HZUo0xY+iVg7CA8tnM7k0WZJi+pnevyJkQUHzMWJy1cEV188ffq8ySIPslGBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b753c46ae980c712a59378b31c04da307c73ba5868ee82cb3584fb6b890ff37b","last_reissued_at":"2026-07-05T11:49:14.581445Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:49:14.581445Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2508.03753","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":"2026-07-05T11:49:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tGcKgLHdmDLcEC+DQleEFp830W1Ebvl/sGaLJpD54oWPvLsbf8ZLZwssfFeYEKQonFF6Y4Li2O/1h+eCrAuRDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T22:11:39.775282Z"},"content_sha256":"7bc0a1cf798b710dec87b0b1268212e5437cc5870605bd3784135520c2662b5f","schema_version":"1.0","event_id":"sha256:7bc0a1cf798b710dec87b0b1268212e5437cc5870605bd3784135520c2662b5f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:W5J4I2XJQDDRFJMTPCZRYBG2GB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Classification non supervis{\\'e}es d'acquisitions hyperspectrales cod{\\'e}es : quelles v{\\'e}rit{\\'e}s terrain ?","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV","physics.data-an"],"primary_cat":"eess.IV","authors_text":"Antoine Monmayrant (LAAS-PHOTO), Herv\\'e Carfantan (IRAP), LAAS), LAAS-PHOTO, Simon Lacroix (LAAS-RIS), Trung-tin Dinh (IRAP, UT3","submitted_at":"2025-08-04T06:18:03Z","abstract_excerpt":"We propose an unsupervised classification method using a limited number of coded acquisitions from a DD-CASSI hyperspectral imager. Based on a simple model of intra-class spectral variability, this approach allow to identify classes and estimate reference spectra, despite data compression by a factor of ten. Here, we highlight the limitations of the ground truths commonly used to evaluate this type of method: lack of a clear definition of the notion of class, high intra-class variability, and even classification errors. Using the Pavia University scene, we show that with simple assumptions, it"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.03753","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/2508.03753/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":"2026-07-05T11:49:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BL6fp46L7nptUEihYPf9PeGeIJVCwQG6KKJVuxsp1903RK82prYj7ReYn2Z7sp8rMnJ4JtT+uLif0EvQcWnPCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T22:11:39.775844Z"},"content_sha256":"f3df4bac1bddea3a084307e2fd7adc6d9cfc4b9e8d90fff44c6425a2b541af91","schema_version":"1.0","event_id":"sha256:f3df4bac1bddea3a084307e2fd7adc6d9cfc4b9e8d90fff44c6425a2b541af91"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/W5J4I2XJQDDRFJMTPCZRYBG2GB/bundle.json","state_url":"https://pith.science/pith/W5J4I2XJQDDRFJMTPCZRYBG2GB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/W5J4I2XJQDDRFJMTPCZRYBG2GB/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":"2026-08-16T22:11:39Z","links":{"resolver":"https://pith.science/pith/W5J4I2XJQDDRFJMTPCZRYBG2GB","bundle":"https://pith.science/pith/W5J4I2XJQDDRFJMTPCZRYBG2GB/bundle.json","state":"https://pith.science/pith/W5J4I2XJQDDRFJMTPCZRYBG2GB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/W5J4I2XJQDDRFJMTPCZRYBG2GB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:W5J4I2XJQDDRFJMTPCZRYBG2GB","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":"2c48aa49f2c6d2934b232787818fec004db6238f2ce339ab6a8d3d30dc712589","cross_cats_sorted":["cs.CV","physics.data-an"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2025-08-04T06:18:03Z","title_canon_sha256":"0602f5eeda0b43efe64d2f6d8ecf21341ce517d2fa64dc9851171bd08b80859f"},"schema_version":"1.0","source":{"id":"2508.03753","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.03753","created_at":"2026-07-05T11:49:14Z"},{"alias_kind":"arxiv_version","alias_value":"2508.03753v1","created_at":"2026-07-05T11:49:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.03753","created_at":"2026-07-05T11:49:14Z"},{"alias_kind":"pith_short_12","alias_value":"W5J4I2XJQDDR","created_at":"2026-07-05T11:49:14Z"},{"alias_kind":"pith_short_16","alias_value":"W5J4I2XJQDDRFJMT","created_at":"2026-07-05T11:49:14Z"},{"alias_kind":"pith_short_8","alias_value":"W5J4I2XJ","created_at":"2026-07-05T11:49:14Z"}],"graph_snapshots":[{"event_id":"sha256:f3df4bac1bddea3a084307e2fd7adc6d9cfc4b9e8d90fff44c6425a2b541af91","target":"graph","created_at":"2026-07-05T11:49:14Z","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/2508.03753/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We propose an unsupervised classification method using a limited number of coded acquisitions from a DD-CASSI hyperspectral imager. Based on a simple model of intra-class spectral variability, this approach allow to identify classes and estimate reference spectra, despite data compression by a factor of ten. Here, we highlight the limitations of the ground truths commonly used to evaluate this type of method: lack of a clear definition of the notion of class, high intra-class variability, and even classification errors. Using the Pavia University scene, we show that with simple assumptions, it","authors_text":"Antoine Monmayrant (LAAS-PHOTO), Herv\\'e Carfantan (IRAP), LAAS), LAAS-PHOTO, Simon Lacroix (LAAS-RIS), Trung-tin Dinh (IRAP, UT3","cross_cats":["cs.CV","physics.data-an"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2025-08-04T06:18:03Z","title":"Classification non supervis{\\'e}es d'acquisitions hyperspectrales cod{\\'e}es : quelles v{\\'e}rit{\\'e}s terrain ?"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.03753","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":"sha256:7bc0a1cf798b710dec87b0b1268212e5437cc5870605bd3784135520c2662b5f","target":"record","created_at":"2026-07-05T11:49:14Z","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":"2c48aa49f2c6d2934b232787818fec004db6238f2ce339ab6a8d3d30dc712589","cross_cats_sorted":["cs.CV","physics.data-an"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2025-08-04T06:18:03Z","title_canon_sha256":"0602f5eeda0b43efe64d2f6d8ecf21341ce517d2fa64dc9851171bd08b80859f"},"schema_version":"1.0","source":{"id":"2508.03753","kind":"arxiv","version":1}},"canonical_sha256":"b753c46ae980c712a59378b31c04da307c73ba5868ee82cb3584fb6b890ff37b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b753c46ae980c712a59378b31c04da307c73ba5868ee82cb3584fb6b890ff37b","first_computed_at":"2026-07-05T11:49:14.581445Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:49:14.581445Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"l2kujRIMz6/j6ieJzVh37HvS1HZUo0xY+iVg7CA8tnM7k0WZJi+pnevyJkQUHzMWJy1cEV188ffq8ySIPslGBA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:49:14.581915Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.03753","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7bc0a1cf798b710dec87b0b1268212e5437cc5870605bd3784135520c2662b5f","sha256:f3df4bac1bddea3a084307e2fd7adc6d9cfc4b9e8d90fff44c6425a2b541af91"],"state_sha256":"94dccb1d5370990ab264f7deacb49d1769445d0d77b6d97fcb1b721b25e68754"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cpvApVdCFVcztZhBW5LB4Fxg7jEs9ax0jvSvcsW6M5mErnTUqaoaAWxZkyzBs+/0qmB60obzIbDRA+5eT9wKDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-16T22:11:39.779222Z","bundle_sha256":"390d3365f5e8cfa1d6c5aaf46ae838eeefcfc3add1395810e77d650fd19dd608"}}