{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:LNCMH4NS2YXJR4775QYHJUNVCU","short_pith_number":"pith:LNCMH4NS","canonical_record":{"source":{"id":"2304.00601","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-04-02T19:09:01Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"ff6b60ffd5b103c747e98d021eeb14a5beef4c5362f807eba06b94ad1b0627cb","abstract_canon_sha256":"a0d5a1cfc5c2741faae0b43ce86af7ed729c9c211918cfc92e3f8a18d5cdf115"},"schema_version":"1.0"},"canonical_sha256":"5b44c3f1b2d62e98f3ffec3074d1b5151f1438ff308a8523f771a3c17c03ba97","source":{"kind":"arxiv","id":"2304.00601","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.00601","created_at":"2026-07-05T05:59:07Z"},{"alias_kind":"arxiv_version","alias_value":"2304.00601v2","created_at":"2026-07-05T05:59:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.00601","created_at":"2026-07-05T05:59:07Z"},{"alias_kind":"pith_short_12","alias_value":"LNCMH4NS2YXJ","created_at":"2026-07-05T05:59:07Z"},{"alias_kind":"pith_short_16","alias_value":"LNCMH4NS2YXJR477","created_at":"2026-07-05T05:59:07Z"},{"alias_kind":"pith_short_8","alias_value":"LNCMH4NS","created_at":"2026-07-05T05:59:07Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:LNCMH4NS2YXJR4775QYHJUNVCU","target":"record","payload":{"canonical_record":{"source":{"id":"2304.00601","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-04-02T19:09:01Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"ff6b60ffd5b103c747e98d021eeb14a5beef4c5362f807eba06b94ad1b0627cb","abstract_canon_sha256":"a0d5a1cfc5c2741faae0b43ce86af7ed729c9c211918cfc92e3f8a18d5cdf115"},"schema_version":"1.0"},"canonical_sha256":"5b44c3f1b2d62e98f3ffec3074d1b5151f1438ff308a8523f771a3c17c03ba97","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:59:07.124690Z","signature_b64":"P8+9cPqEzClXE/vw2lax4PBDzmc09djaYwigx7DuH1lCXvamz7kUWFOswaAsKDYc5MoWRN/OLMGbPs0le7jhCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5b44c3f1b2d62e98f3ffec3074d1b5151f1438ff308a8523f771a3c17c03ba97","last_reissued_at":"2026-07-05T05:59:07.124211Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:59:07.124211Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2304.00601","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:59:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ewV5Xo/ja8lcl5quyWM+eCdPvpAQswyzqtrxPKpXJCQ/UcavJdK3w7oHk5CEvNkv0KIeHcJtDyANzcbT01QUBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T10:37:31.536357Z"},"content_sha256":"ed2f98ccf915c95e7b46af183e81a358acfcfaed2d44e6ac6296a893c4e99e73","schema_version":"1.0","event_id":"sha256:ed2f98ccf915c95e7b46af183e81a358acfcfaed2d44e6ac6296a893c4e99e73"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:LNCMH4NS2YXJR4775QYHJUNVCU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Constructive Assimilation: Boosting Contrastive Learning Performance through View Generation Strategies","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Akash Srivastava, Charlotte Loh, Dimitris Metaxas, Fei Deng, Leonid Karlinsky, Ligong Han, Pulkit Agrawal, Rumen Dangovski, Seungwook Han, Shivchander Sudalairaj, Tsui-Wei Weng","submitted_at":"2023-04-02T19:09:01Z","abstract_excerpt":"Transformations based on domain expertise (expert transformations), such as random-resized-crop and color-jitter, have proven critical to the success of contrastive learning techniques such as SimCLR. Recently, several attempts have been made to replace such domain-specific, human-designed transformations with generated views that are learned. However for imagery data, so far none of these view-generation methods has been able to outperform expert transformations. In this work, we tackle a different question: instead of replacing expert transformations with generated views, can we constructive"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.00601","kind":"arxiv","version":2},"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/2304.00601/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":"2026-07-05T05:59:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7mRe+uVspLBiCtvs9ZdFBNo5+LipcgaETOkZ3gjSTQI+rdYx79rSFTiEFJF9SaxmFajf19+3+n4kaLndWMQrCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T10:37:31.537269Z"},"content_sha256":"ac7e914a6564c8ddd1809f258b1a3d38a12cae0cd9c92f156fc97ee0aa125147","schema_version":"1.0","event_id":"sha256:ac7e914a6564c8ddd1809f258b1a3d38a12cae0cd9c92f156fc97ee0aa125147"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LNCMH4NS2YXJR4775QYHJUNVCU/bundle.json","state_url":"https://pith.science/pith/LNCMH4NS2YXJR4775QYHJUNVCU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LNCMH4NS2YXJR4775QYHJUNVCU/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":"2026-08-13T10:37:31Z","links":{"resolver":"https://pith.science/pith/LNCMH4NS2YXJR4775QYHJUNVCU","bundle":"https://pith.science/pith/LNCMH4NS2YXJR4775QYHJUNVCU/bundle.json","state":"https://pith.science/pith/LNCMH4NS2YXJR4775QYHJUNVCU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LNCMH4NS2YXJR4775QYHJUNVCU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:LNCMH4NS2YXJR4775QYHJUNVCU","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":"a0d5a1cfc5c2741faae0b43ce86af7ed729c9c211918cfc92e3f8a18d5cdf115","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-04-02T19:09:01Z","title_canon_sha256":"ff6b60ffd5b103c747e98d021eeb14a5beef4c5362f807eba06b94ad1b0627cb"},"schema_version":"1.0","source":{"id":"2304.00601","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.00601","created_at":"2026-07-05T05:59:07Z"},{"alias_kind":"arxiv_version","alias_value":"2304.00601v2","created_at":"2026-07-05T05:59:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.00601","created_at":"2026-07-05T05:59:07Z"},{"alias_kind":"pith_short_12","alias_value":"LNCMH4NS2YXJ","created_at":"2026-07-05T05:59:07Z"},{"alias_kind":"pith_short_16","alias_value":"LNCMH4NS2YXJR477","created_at":"2026-07-05T05:59:07Z"},{"alias_kind":"pith_short_8","alias_value":"LNCMH4NS","created_at":"2026-07-05T05:59:07Z"}],"graph_snapshots":[{"event_id":"sha256:ac7e914a6564c8ddd1809f258b1a3d38a12cae0cd9c92f156fc97ee0aa125147","target":"graph","created_at":"2026-07-05T05:59:07Z","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/2304.00601/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Transformations based on domain expertise (expert transformations), such as random-resized-crop and color-jitter, have proven critical to the success of contrastive learning techniques such as SimCLR. Recently, several attempts have been made to replace such domain-specific, human-designed transformations with generated views that are learned. However for imagery data, so far none of these view-generation methods has been able to outperform expert transformations. In this work, we tackle a different question: instead of replacing expert transformations with generated views, can we constructive","authors_text":"Akash Srivastava, Charlotte Loh, Dimitris Metaxas, Fei Deng, Leonid Karlinsky, Ligong Han, Pulkit Agrawal, Rumen Dangovski, Seungwook Han, Shivchander Sudalairaj, Tsui-Wei Weng","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-04-02T19:09:01Z","title":"Constructive Assimilation: Boosting Contrastive Learning Performance through View Generation Strategies"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.00601","kind":"arxiv","version":2},"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:ed2f98ccf915c95e7b46af183e81a358acfcfaed2d44e6ac6296a893c4e99e73","target":"record","created_at":"2026-07-05T05:59:07Z","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":"a0d5a1cfc5c2741faae0b43ce86af7ed729c9c211918cfc92e3f8a18d5cdf115","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-04-02T19:09:01Z","title_canon_sha256":"ff6b60ffd5b103c747e98d021eeb14a5beef4c5362f807eba06b94ad1b0627cb"},"schema_version":"1.0","source":{"id":"2304.00601","kind":"arxiv","version":2}},"canonical_sha256":"5b44c3f1b2d62e98f3ffec3074d1b5151f1438ff308a8523f771a3c17c03ba97","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5b44c3f1b2d62e98f3ffec3074d1b5151f1438ff308a8523f771a3c17c03ba97","first_computed_at":"2026-07-05T05:59:07.124211Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:59:07.124211Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"P8+9cPqEzClXE/vw2lax4PBDzmc09djaYwigx7DuH1lCXvamz7kUWFOswaAsKDYc5MoWRN/OLMGbPs0le7jhCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T05:59:07.124690Z","signed_message":"canonical_sha256_bytes"},"source_id":"2304.00601","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ed2f98ccf915c95e7b46af183e81a358acfcfaed2d44e6ac6296a893c4e99e73","sha256:ac7e914a6564c8ddd1809f258b1a3d38a12cae0cd9c92f156fc97ee0aa125147"],"state_sha256":"7b9a74fe042a99d501ab7189e8ca3f67eac66deabc356d72bc04d982bca4cdbd"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ObrnfzssunH6zXMviIA/1NovVykBZXXKfXY0+IlstLhZCbX9qokpH0gO8XLNHIE2NSrsPQ7g3wdB20w4OS49Ag==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T10:37:31.543949Z","bundle_sha256":"0d8f2edf3fd87c0b23ac1e109841acfa1e6451fe555d068c63d788ec39410997"}}