{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:VXQSSLBMXKQDQJG72AKRFWTV67","short_pith_number":"pith:VXQSSLBM","canonical_record":{"source":{"id":"2503.00884","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-03-02T13:06:00Z","cross_cats_sorted":[],"title_canon_sha256":"49bcbf9e9e2c2f1e3560a44693a81d7555959366528a3b60e8305197245bce21","abstract_canon_sha256":"fc80b7608110dbb2d93ad053a042e863b7c97f781eed9fabc6129f222600b7e3"},"schema_version":"1.0"},"canonical_sha256":"ade1292c2cbaa03824dfd01512da75f7e9e27324692981b7fee8f90aa29967d5","source":{"kind":"arxiv","id":"2503.00884","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.00884","created_at":"2026-07-05T10:22:31Z"},{"alias_kind":"arxiv_version","alias_value":"2503.00884v1","created_at":"2026-07-05T10:22:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.00884","created_at":"2026-07-05T10:22:31Z"},{"alias_kind":"pith_short_12","alias_value":"VXQSSLBMXKQD","created_at":"2026-07-05T10:22:31Z"},{"alias_kind":"pith_short_16","alias_value":"VXQSSLBMXKQDQJG7","created_at":"2026-07-05T10:22:31Z"},{"alias_kind":"pith_short_8","alias_value":"VXQSSLBM","created_at":"2026-07-05T10:22:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:VXQSSLBMXKQDQJG72AKRFWTV67","target":"record","payload":{"canonical_record":{"source":{"id":"2503.00884","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-03-02T13:06:00Z","cross_cats_sorted":[],"title_canon_sha256":"49bcbf9e9e2c2f1e3560a44693a81d7555959366528a3b60e8305197245bce21","abstract_canon_sha256":"fc80b7608110dbb2d93ad053a042e863b7c97f781eed9fabc6129f222600b7e3"},"schema_version":"1.0"},"canonical_sha256":"ade1292c2cbaa03824dfd01512da75f7e9e27324692981b7fee8f90aa29967d5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:22:31.704545Z","signature_b64":"G5JykgOWKk3mHF7SHVYcqXX32awSKm5XK4BCfkzUNcK/gNuhdY8MkEb0pPegSuq47KPIflHa36lZcm+q/FpTAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ade1292c2cbaa03824dfd01512da75f7e9e27324692981b7fee8f90aa29967d5","last_reissued_at":"2026-07-05T10:22:31.704018Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:22:31.704018Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2503.00884","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":"2026-07-05T10:22:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EM9hutHp6JUoo0hHH8TYS2RAzU1gs9TCjeEs/+vF21/zyYV2V2v7q7e3RiHPL5wesOxRAacG7AfXlJaK9jiFBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-31T20:26:38.751302Z"},"content_sha256":"e01c74044f8eac77bc39fc548a97c07e8f97920955142bea2f944f0080077073","schema_version":"1.0","event_id":"sha256:e01c74044f8eac77bc39fc548a97c07e8f97920955142bea2f944f0080077073"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:VXQSSLBMXKQDQJG72AKRFWTV67","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Re-Evaluating the Impact of Unseen-Class Unlabeled Data on Semi-Supervised Learning Model","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Lanzhe Guo, Rundong He, Tailin Wu, Yicong Dong, Yilong Yin","submitted_at":"2025-03-02T13:06:00Z","abstract_excerpt":"Semi-supervised learning (SSL) effectively leverages unlabeled data and has been proven successful across various fields. Current safe SSL methods believe that unseen classes in unlabeled data harm the performance of SSL models. However, previous methods for assessing the impact of unseen classes on SSL model performance are flawed. They fix the size of the unlabeled dataset and adjust the proportion of unseen classes within the unlabeled data to assess the impact. This process contravenes the principle of controlling variables. Adjusting the proportion of unseen classes in unlabeled data alte"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.00884","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/2503.00884/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":"2026-07-05T10:22:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"s5rIL7rQVxxwStSWD5pOdE3E7IXQLPEe80d80FUR1m6PHqGjHzboPCNYHL1nbJWYq5dBjvAV8bx/LUy5Pi0OAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-31T20:26:38.752029Z"},"content_sha256":"4b8625348f7c617f9699f0efaeab331f62a3cbcae43353fb527f407b156a51d2","schema_version":"1.0","event_id":"sha256:4b8625348f7c617f9699f0efaeab331f62a3cbcae43353fb527f407b156a51d2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VXQSSLBMXKQDQJG72AKRFWTV67/bundle.json","state_url":"https://pith.science/pith/VXQSSLBMXKQDQJG72AKRFWTV67/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VXQSSLBMXKQDQJG72AKRFWTV67/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":"2026-07-31T20:26:38Z","links":{"resolver":"https://pith.science/pith/VXQSSLBMXKQDQJG72AKRFWTV67","bundle":"https://pith.science/pith/VXQSSLBMXKQDQJG72AKRFWTV67/bundle.json","state":"https://pith.science/pith/VXQSSLBMXKQDQJG72AKRFWTV67/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VXQSSLBMXKQDQJG72AKRFWTV67/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:VXQSSLBMXKQDQJG72AKRFWTV67","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":"fc80b7608110dbb2d93ad053a042e863b7c97f781eed9fabc6129f222600b7e3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-03-02T13:06:00Z","title_canon_sha256":"49bcbf9e9e2c2f1e3560a44693a81d7555959366528a3b60e8305197245bce21"},"schema_version":"1.0","source":{"id":"2503.00884","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.00884","created_at":"2026-07-05T10:22:31Z"},{"alias_kind":"arxiv_version","alias_value":"2503.00884v1","created_at":"2026-07-05T10:22:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.00884","created_at":"2026-07-05T10:22:31Z"},{"alias_kind":"pith_short_12","alias_value":"VXQSSLBMXKQD","created_at":"2026-07-05T10:22:31Z"},{"alias_kind":"pith_short_16","alias_value":"VXQSSLBMXKQDQJG7","created_at":"2026-07-05T10:22:31Z"},{"alias_kind":"pith_short_8","alias_value":"VXQSSLBM","created_at":"2026-07-05T10:22:31Z"}],"graph_snapshots":[{"event_id":"sha256:4b8625348f7c617f9699f0efaeab331f62a3cbcae43353fb527f407b156a51d2","target":"graph","created_at":"2026-07-05T10:22:31Z","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/2503.00884/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Semi-supervised learning (SSL) effectively leverages unlabeled data and has been proven successful across various fields. Current safe SSL methods believe that unseen classes in unlabeled data harm the performance of SSL models. However, previous methods for assessing the impact of unseen classes on SSL model performance are flawed. They fix the size of the unlabeled dataset and adjust the proportion of unseen classes within the unlabeled data to assess the impact. This process contravenes the principle of controlling variables. Adjusting the proportion of unseen classes in unlabeled data alte","authors_text":"Lanzhe Guo, Rundong He, Tailin Wu, Yicong Dong, Yilong Yin","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-03-02T13:06:00Z","title":"Re-Evaluating the Impact of Unseen-Class Unlabeled Data on Semi-Supervised Learning Model"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.00884","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:e01c74044f8eac77bc39fc548a97c07e8f97920955142bea2f944f0080077073","target":"record","created_at":"2026-07-05T10:22:31Z","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":"fc80b7608110dbb2d93ad053a042e863b7c97f781eed9fabc6129f222600b7e3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-03-02T13:06:00Z","title_canon_sha256":"49bcbf9e9e2c2f1e3560a44693a81d7555959366528a3b60e8305197245bce21"},"schema_version":"1.0","source":{"id":"2503.00884","kind":"arxiv","version":1}},"canonical_sha256":"ade1292c2cbaa03824dfd01512da75f7e9e27324692981b7fee8f90aa29967d5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ade1292c2cbaa03824dfd01512da75f7e9e27324692981b7fee8f90aa29967d5","first_computed_at":"2026-07-05T10:22:31.704018Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:22:31.704018Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"G5JykgOWKk3mHF7SHVYcqXX32awSKm5XK4BCfkzUNcK/gNuhdY8MkEb0pPegSuq47KPIflHa36lZcm+q/FpTAw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:22:31.704545Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.00884","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e01c74044f8eac77bc39fc548a97c07e8f97920955142bea2f944f0080077073","sha256:4b8625348f7c617f9699f0efaeab331f62a3cbcae43353fb527f407b156a51d2"],"state_sha256":"03795f91c1501153a3159e8b0e32ec691084883507a6222fd646f5937acab1d1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2ZcoYPbFPzF0DiLdagp30RIakjY2txzdRd5yh7kXlz8mypfh0bdQoQ4dicyahXm9RsEZ93ySRUyvjtX5fUBwAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-31T20:26:38.757932Z","bundle_sha256":"2f12dac6e82281248576c60c7947b69a18b04e21bd658bfda1d8294b8fd37f17"}}