{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:BQ6DRZC3MAOVJW6KVDHJWJ6NZC","short_pith_number":"pith:BQ6DRZC3","canonical_record":{"source":{"id":"2201.06740","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-01-18T04:39:31Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"c4d90867d6c38b3e3ed190f13b8469522cfb416c138cc1686a9805eeabb35750","abstract_canon_sha256":"030f232e0fb616c572e89d369e06dbcfd893b56631dc62f36f2eec28be0cfdad"},"schema_version":"1.0"},"canonical_sha256":"0c3c38e45b601d54dbcaa8ce9b27cdc89661a8a9f608293634346d46ea3c9251","source":{"kind":"arxiv","id":"2201.06740","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2201.06740","created_at":"2026-07-05T03:49:01Z"},{"alias_kind":"arxiv_version","alias_value":"2201.06740v1","created_at":"2026-07-05T03:49:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2201.06740","created_at":"2026-07-05T03:49:01Z"},{"alias_kind":"pith_short_12","alias_value":"BQ6DRZC3MAOV","created_at":"2026-07-05T03:49:01Z"},{"alias_kind":"pith_short_16","alias_value":"BQ6DRZC3MAOVJW6K","created_at":"2026-07-05T03:49:01Z"},{"alias_kind":"pith_short_8","alias_value":"BQ6DRZC3","created_at":"2026-07-05T03:49:01Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:BQ6DRZC3MAOVJW6KVDHJWJ6NZC","target":"record","payload":{"canonical_record":{"source":{"id":"2201.06740","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-01-18T04:39:31Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"c4d90867d6c38b3e3ed190f13b8469522cfb416c138cc1686a9805eeabb35750","abstract_canon_sha256":"030f232e0fb616c572e89d369e06dbcfd893b56631dc62f36f2eec28be0cfdad"},"schema_version":"1.0"},"canonical_sha256":"0c3c38e45b601d54dbcaa8ce9b27cdc89661a8a9f608293634346d46ea3c9251","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:49:01.034328Z","signature_b64":"7gLAL8ZKTuU9kb3IVoVmnce6AsgtOQFINq4jUnV+S3m1XtsdYvUh6gLW6w2Q7/qqbNYai0n5lyPzkfzSXV/ODg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0c3c38e45b601d54dbcaa8ce9b27cdc89661a8a9f608293634346d46ea3c9251","last_reissued_at":"2026-07-05T03:49:01.033948Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:49:01.033948Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2201.06740","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":"2026-07-05T03:49:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"w/9v28JGVOH+xXsi1y0NZ43gExr8CKtNIL/o32RYoebMg+6xnKJUU1gKSWUadOn9LyT1o6ZoUHYJ3XCR1fXYCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T02:40:02.531972Z"},"content_sha256":"b9c4c0cd7e674dd8e780989c95c20420866a166a1eeca4479aca339d40e40fae","schema_version":"1.0","event_id":"sha256:b9c4c0cd7e674dd8e780989c95c20420866a166a1eeca4479aca339d40e40fae"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:BQ6DRZC3MAOVJW6KVDHJWJ6NZC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Convolutional Cobweb: A Model of Incremental Learning from 2D Images","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CV","authors_text":"Christopher J. MacLellan, Harshil Thakur","submitted_at":"2022-01-18T04:39:31Z","abstract_excerpt":"This paper presents a new concept formation approach that supports the ability to incrementally learn and predict labels for visual images. This work integrates the idea of convolutional image processing, from computer vision research, with a concept formation approach that is based on psychological studies of how humans incrementally form and use concepts. We experimentally evaluate this new approach by applying it to an incremental variation of the MNIST digit recognition task. We compare its performance to Cobweb, a concept formation approach that does not support convolutional processing, "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2201.06740","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/2201.06740/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":"2026-07-05T03:49:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iwCc3TR2xKEi3vLPNxd+xk2GNufwzAFmuZAHndxRnwwdC3pgP2moUpiid7cgS2f7QyIqBpA9UPVbIWJTBASxAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T02:40:02.532620Z"},"content_sha256":"b84d39716d1658923da8548f22a6b884b9f5ac60a18b211881ed5e18e51c873c","schema_version":"1.0","event_id":"sha256:b84d39716d1658923da8548f22a6b884b9f5ac60a18b211881ed5e18e51c873c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BQ6DRZC3MAOVJW6KVDHJWJ6NZC/bundle.json","state_url":"https://pith.science/pith/BQ6DRZC3MAOVJW6KVDHJWJ6NZC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BQ6DRZC3MAOVJW6KVDHJWJ6NZC/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":"2026-08-09T02:40:02Z","links":{"resolver":"https://pith.science/pith/BQ6DRZC3MAOVJW6KVDHJWJ6NZC","bundle":"https://pith.science/pith/BQ6DRZC3MAOVJW6KVDHJWJ6NZC/bundle.json","state":"https://pith.science/pith/BQ6DRZC3MAOVJW6KVDHJWJ6NZC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BQ6DRZC3MAOVJW6KVDHJWJ6NZC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:BQ6DRZC3MAOVJW6KVDHJWJ6NZC","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":"030f232e0fb616c572e89d369e06dbcfd893b56631dc62f36f2eec28be0cfdad","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-01-18T04:39:31Z","title_canon_sha256":"c4d90867d6c38b3e3ed190f13b8469522cfb416c138cc1686a9805eeabb35750"},"schema_version":"1.0","source":{"id":"2201.06740","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2201.06740","created_at":"2026-07-05T03:49:01Z"},{"alias_kind":"arxiv_version","alias_value":"2201.06740v1","created_at":"2026-07-05T03:49:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2201.06740","created_at":"2026-07-05T03:49:01Z"},{"alias_kind":"pith_short_12","alias_value":"BQ6DRZC3MAOV","created_at":"2026-07-05T03:49:01Z"},{"alias_kind":"pith_short_16","alias_value":"BQ6DRZC3MAOVJW6K","created_at":"2026-07-05T03:49:01Z"},{"alias_kind":"pith_short_8","alias_value":"BQ6DRZC3","created_at":"2026-07-05T03:49:01Z"}],"graph_snapshots":[{"event_id":"sha256:b84d39716d1658923da8548f22a6b884b9f5ac60a18b211881ed5e18e51c873c","target":"graph","created_at":"2026-07-05T03:49:01Z","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/2201.06740/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper presents a new concept formation approach that supports the ability to incrementally learn and predict labels for visual images. This work integrates the idea of convolutional image processing, from computer vision research, with a concept formation approach that is based on psychological studies of how humans incrementally form and use concepts. We experimentally evaluate this new approach by applying it to an incremental variation of the MNIST digit recognition task. We compare its performance to Cobweb, a concept formation approach that does not support convolutional processing, ","authors_text":"Christopher J. MacLellan, Harshil Thakur","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-01-18T04:39:31Z","title":"Convolutional Cobweb: A Model of Incremental Learning from 2D Images"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2201.06740","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:b9c4c0cd7e674dd8e780989c95c20420866a166a1eeca4479aca339d40e40fae","target":"record","created_at":"2026-07-05T03:49:01Z","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":"030f232e0fb616c572e89d369e06dbcfd893b56631dc62f36f2eec28be0cfdad","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-01-18T04:39:31Z","title_canon_sha256":"c4d90867d6c38b3e3ed190f13b8469522cfb416c138cc1686a9805eeabb35750"},"schema_version":"1.0","source":{"id":"2201.06740","kind":"arxiv","version":1}},"canonical_sha256":"0c3c38e45b601d54dbcaa8ce9b27cdc89661a8a9f608293634346d46ea3c9251","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0c3c38e45b601d54dbcaa8ce9b27cdc89661a8a9f608293634346d46ea3c9251","first_computed_at":"2026-07-05T03:49:01.033948Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:49:01.033948Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7gLAL8ZKTuU9kb3IVoVmnce6AsgtOQFINq4jUnV+S3m1XtsdYvUh6gLW6w2Q7/qqbNYai0n5lyPzkfzSXV/ODg==","signature_status":"signed_v1","signed_at":"2026-07-05T03:49:01.034328Z","signed_message":"canonical_sha256_bytes"},"source_id":"2201.06740","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b9c4c0cd7e674dd8e780989c95c20420866a166a1eeca4479aca339d40e40fae","sha256:b84d39716d1658923da8548f22a6b884b9f5ac60a18b211881ed5e18e51c873c"],"state_sha256":"e6ee0d8cc3f8080228d72d797a6b1979f83f006e4b8902b242e5877a9c9b7fb5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"J7mc4HW7Oa7yOrs+xsw29yk2ROvYpd7xaEFGbrCVnSXVGSLHTBhpwVN+uhFPJp4W/7GkEJgRww96bLvVcCOhDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T02:40:02.538870Z","bundle_sha256":"e7f557b1912317a28c2cc3d7daa3f84a866b6e3ec1b2f0cb103f94cad745b620"}}