{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:OAWNCEQKOUSK7RN75ZDNVM24UT","short_pith_number":"pith:OAWNCEQK","canonical_record":{"source":{"id":"2209.13557","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2022-09-27T17:14:09Z","cross_cats_sorted":[],"title_canon_sha256":"2971c2afb623ac8228319dcb34fb35a29e8f49f2eeb93602352eeae17972e6a9","abstract_canon_sha256":"fb5ef498417a51a32071df648bb6d9504622dcfd9bb6d859f0e0961b1c6f379c"},"schema_version":"1.0"},"canonical_sha256":"702cd1120a7524afc5bfee46dab35ca4d094cbd555c7963adbea570c33c009bd","source":{"kind":"arxiv","id":"2209.13557","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2209.13557","created_at":"2026-07-05T05:42:01Z"},{"alias_kind":"arxiv_version","alias_value":"2209.13557v2","created_at":"2026-07-05T05:42:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2209.13557","created_at":"2026-07-05T05:42:01Z"},{"alias_kind":"pith_short_12","alias_value":"OAWNCEQKOUSK","created_at":"2026-07-05T05:42:01Z"},{"alias_kind":"pith_short_16","alias_value":"OAWNCEQKOUSK7RN7","created_at":"2026-07-05T05:42:01Z"},{"alias_kind":"pith_short_8","alias_value":"OAWNCEQK","created_at":"2026-07-05T05:42:01Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:OAWNCEQKOUSK7RN75ZDNVM24UT","target":"record","payload":{"canonical_record":{"source":{"id":"2209.13557","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2022-09-27T17:14:09Z","cross_cats_sorted":[],"title_canon_sha256":"2971c2afb623ac8228319dcb34fb35a29e8f49f2eeb93602352eeae17972e6a9","abstract_canon_sha256":"fb5ef498417a51a32071df648bb6d9504622dcfd9bb6d859f0e0961b1c6f379c"},"schema_version":"1.0"},"canonical_sha256":"702cd1120a7524afc5bfee46dab35ca4d094cbd555c7963adbea570c33c009bd","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:42:01.661489Z","signature_b64":"ijpYiICD+c++jNvq15WwIW7KkvdOSXRgEuuKj3+n6F4UmrH9KfMLLdSYbYFArhoR2Foia7lLKY3AQT1mNJfSAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"702cd1120a7524afc5bfee46dab35ca4d094cbd555c7963adbea570c33c009bd","last_reissued_at":"2026-07-05T05:42:01.661021Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:42:01.661021Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2209.13557","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":"2026-07-05T05:42:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mve+TRs9uJh8iSoFk94AA8QVzLJJfc9vI7PfupJxFYHr1SDQBRs2cH72nEe6q9nJaihgM7k2Rp13xIJbm4R8BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T10:04:43.053200Z"},"content_sha256":"c3a48e8b320172ec797ddae20ffab2d468b4b5722cacdbba6e4dbeb27b590c3f","schema_version":"1.0","event_id":"sha256:c3a48e8b320172ec797ddae20ffab2d468b4b5722cacdbba6e4dbeb27b590c3f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:OAWNCEQKOUSK7RN75ZDNVM24UT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Polymer informatics at-scale with multitask graph neural networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cond-mat.mtrl-sci","authors_text":"Aubrey Toland, Christopher Kuenneth, Rampi Ramprasad, Rishi Gurnani","submitted_at":"2022-09-27T17:14:09Z","abstract_excerpt":"Artificial intelligence-based methods are becoming increasingly effective at screening libraries of polymers down to a selection that is manageable for experimental inquiry. The vast majority of presently adopted approaches for polymer screening rely on handcrafted chemostructural features extracted from polymer repeat units -- a burdensome task as polymer libraries, which approximate the polymer chemical search space, progressively grow over time. Here, we demonstrate that directly \"machine-learning\" important features from a polymer repeat unit is a cheap and viable alternative to extracting"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2209.13557","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/2209.13557/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":"2026-07-05T05:42:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Wzjcj5P1AvglMbW9idwWXmbZYquKCNnAps4ph1IHOFddhIZrzXZhzoF3nZFEZJao0TwuIDmXffmM2a2S02gwAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T10:04:43.053582Z"},"content_sha256":"d556f129015f937f9f4006ceb11a2faa111bac0170ebc6084515eab68a914eb7","schema_version":"1.0","event_id":"sha256:d556f129015f937f9f4006ceb11a2faa111bac0170ebc6084515eab68a914eb7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OAWNCEQKOUSK7RN75ZDNVM24UT/bundle.json","state_url":"https://pith.science/pith/OAWNCEQKOUSK7RN75ZDNVM24UT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OAWNCEQKOUSK7RN75ZDNVM24UT/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":"2026-07-07T10:04:43Z","links":{"resolver":"https://pith.science/pith/OAWNCEQKOUSK7RN75ZDNVM24UT","bundle":"https://pith.science/pith/OAWNCEQKOUSK7RN75ZDNVM24UT/bundle.json","state":"https://pith.science/pith/OAWNCEQKOUSK7RN75ZDNVM24UT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OAWNCEQKOUSK7RN75ZDNVM24UT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:OAWNCEQKOUSK7RN75ZDNVM24UT","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":"fb5ef498417a51a32071df648bb6d9504622dcfd9bb6d859f0e0961b1c6f379c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2022-09-27T17:14:09Z","title_canon_sha256":"2971c2afb623ac8228319dcb34fb35a29e8f49f2eeb93602352eeae17972e6a9"},"schema_version":"1.0","source":{"id":"2209.13557","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2209.13557","created_at":"2026-07-05T05:42:01Z"},{"alias_kind":"arxiv_version","alias_value":"2209.13557v2","created_at":"2026-07-05T05:42:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2209.13557","created_at":"2026-07-05T05:42:01Z"},{"alias_kind":"pith_short_12","alias_value":"OAWNCEQKOUSK","created_at":"2026-07-05T05:42:01Z"},{"alias_kind":"pith_short_16","alias_value":"OAWNCEQKOUSK7RN7","created_at":"2026-07-05T05:42:01Z"},{"alias_kind":"pith_short_8","alias_value":"OAWNCEQK","created_at":"2026-07-05T05:42:01Z"}],"graph_snapshots":[{"event_id":"sha256:d556f129015f937f9f4006ceb11a2faa111bac0170ebc6084515eab68a914eb7","target":"graph","created_at":"2026-07-05T05:42:01Z","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/2209.13557/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Artificial intelligence-based methods are becoming increasingly effective at screening libraries of polymers down to a selection that is manageable for experimental inquiry. The vast majority of presently adopted approaches for polymer screening rely on handcrafted chemostructural features extracted from polymer repeat units -- a burdensome task as polymer libraries, which approximate the polymer chemical search space, progressively grow over time. Here, we demonstrate that directly \"machine-learning\" important features from a polymer repeat unit is a cheap and viable alternative to extracting","authors_text":"Aubrey Toland, Christopher Kuenneth, Rampi Ramprasad, Rishi Gurnani","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2022-09-27T17:14:09Z","title":"Polymer informatics at-scale with multitask graph neural networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2209.13557","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:c3a48e8b320172ec797ddae20ffab2d468b4b5722cacdbba6e4dbeb27b590c3f","target":"record","created_at":"2026-07-05T05:42:01Z","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":"fb5ef498417a51a32071df648bb6d9504622dcfd9bb6d859f0e0961b1c6f379c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2022-09-27T17:14:09Z","title_canon_sha256":"2971c2afb623ac8228319dcb34fb35a29e8f49f2eeb93602352eeae17972e6a9"},"schema_version":"1.0","source":{"id":"2209.13557","kind":"arxiv","version":2}},"canonical_sha256":"702cd1120a7524afc5bfee46dab35ca4d094cbd555c7963adbea570c33c009bd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"702cd1120a7524afc5bfee46dab35ca4d094cbd555c7963adbea570c33c009bd","first_computed_at":"2026-07-05T05:42:01.661021Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:42:01.661021Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ijpYiICD+c++jNvq15WwIW7KkvdOSXRgEuuKj3+n6F4UmrH9KfMLLdSYbYFArhoR2Foia7lLKY3AQT1mNJfSAg==","signature_status":"signed_v1","signed_at":"2026-07-05T05:42:01.661489Z","signed_message":"canonical_sha256_bytes"},"source_id":"2209.13557","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c3a48e8b320172ec797ddae20ffab2d468b4b5722cacdbba6e4dbeb27b590c3f","sha256:d556f129015f937f9f4006ceb11a2faa111bac0170ebc6084515eab68a914eb7"],"state_sha256":"921c42e48745fccc62ffaa9fb35f52610941b9861fa6becc270d53e37ffd4f20"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8r7zBrSlBozYGf0U5yAWTUTz3UgQ7k9SPxsrkDzK3fYT0fj0t3AkDS+wXVVHQFAgf736FZ5N+Nkwfr4eXaQbAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T10:04:43.055392Z","bundle_sha256":"208c4246759b0bdf09809cfb95d1c1cd6a4387a3f4b9b604c8a6ec5e55fdde12"}}