{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:274RC4Q57WY3VSM75AWFXJOWPU","short_pith_number":"pith:274RC4Q5","canonical_record":{"source":{"id":"2605.26305","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-05-25T19:57:57Z","cross_cats_sorted":["cs.SY","eess.SY","hep-ph"],"title_canon_sha256":"42f8a3a338aebf5c58c8d87c54d716c0e8bfb06ee4ba263480075f1f5bad6c9a","abstract_canon_sha256":"e527a362e28cfe55586a887a33fff291b194f18302d99cafbacc787306477844"},"schema_version":"1.0"},"canonical_sha256":"d7f911721dfdb1bac99fe82c5ba5d67d11c0b88276be1ba40788f1afbb8467db","source":{"kind":"arxiv","id":"2605.26305","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.26305","created_at":"2026-05-27T01:05:11Z"},{"alias_kind":"arxiv_version","alias_value":"2605.26305v1","created_at":"2026-05-27T01:05:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.26305","created_at":"2026-05-27T01:05:11Z"},{"alias_kind":"pith_short_12","alias_value":"274RC4Q57WY3","created_at":"2026-05-27T01:05:11Z"},{"alias_kind":"pith_short_16","alias_value":"274RC4Q57WY3VSM7","created_at":"2026-05-27T01:05:11Z"},{"alias_kind":"pith_short_8","alias_value":"274RC4Q5","created_at":"2026-05-27T01:05:11Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:274RC4Q57WY3VSM75AWFXJOWPU","target":"record","payload":{"canonical_record":{"source":{"id":"2605.26305","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-05-25T19:57:57Z","cross_cats_sorted":["cs.SY","eess.SY","hep-ph"],"title_canon_sha256":"42f8a3a338aebf5c58c8d87c54d716c0e8bfb06ee4ba263480075f1f5bad6c9a","abstract_canon_sha256":"e527a362e28cfe55586a887a33fff291b194f18302d99cafbacc787306477844"},"schema_version":"1.0"},"canonical_sha256":"d7f911721dfdb1bac99fe82c5ba5d67d11c0b88276be1ba40788f1afbb8467db","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-27T01:05:11.019688Z","signature_b64":"kn8lT/NFPwLJ43iaM3qV1k9dVZL6zkMqUFKTClYmuXueATzJ8bfLFzPNWGkrCwFYPN0/LEIETGvAZhxJ64JxBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d7f911721dfdb1bac99fe82c5ba5d67d11c0b88276be1ba40788f1afbb8467db","last_reissued_at":"2026-05-27T01:05:11.018853Z","signature_status":"signed_v1","first_computed_at":"2026-05-27T01:05:11.018853Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.26305","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":"2026-05-27T01:05:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"v/qKL0vxop+bzrrLEGCmGafjBZ8a7T/uwpe7N2SkarEc6p/OgiE7nagbqTno624rfeOr+U8nl0xewVcFHt9bBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-04T12:07:55.728115Z"},"content_sha256":"655a9d24bc1cf752cf296baacc904ee05bbe6fe8a5b452973dd8aa8a50b36a3d","schema_version":"1.0","event_id":"sha256:655a9d24bc1cf752cf296baacc904ee05bbe6fe8a5b452973dd8aa8a50b36a3d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:274RC4Q57WY3VSM75AWFXJOWPU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Experiments in Agentic AI for Science","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SY","eess.SY","hep-ph"],"primary_cat":"cs.AI","authors_text":"Geoffrey Fox, Judy Fox","submitted_at":"2026-05-25T19:57:57Z","abstract_excerpt":"This paper details two novel frameworks for developing autonomous, agentic AI in scientific workflows. Both systems leverage a hybrid Local Body, Remote Brain architecture via Google Colab, utilizing Python-based local orchestrators to invoke large language model (LLM) cloud backends. The first agent, DeepTS/DeepCollector, automates the large-scale curation, extraction, and deduplication of time-series datasets. The second, DeepScribe, is an autonomous presentation analyzer that converts visually dense, mathematically complex physics lectures into structured scientific reports. Through practic"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.26305","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/2605.26305/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":"2026-05-27T01:05:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hZYGovnAsJB1xrG9NhZaaEC1RQrBcD/FqzzHjC3XYdUW07A9blpLCwSf13C1s6AqqcYCwO0D/nPZGIezVyIHDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-04T12:07:55.728518Z"},"content_sha256":"003721485654531f5c5edebfc7dcf01d1c7598f65ff9d482fa734b8147289324","schema_version":"1.0","event_id":"sha256:003721485654531f5c5edebfc7dcf01d1c7598f65ff9d482fa734b8147289324"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/274RC4Q57WY3VSM75AWFXJOWPU/bundle.json","state_url":"https://pith.science/pith/274RC4Q57WY3VSM75AWFXJOWPU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/274RC4Q57WY3VSM75AWFXJOWPU/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":"2026-07-04T12:07:55Z","links":{"resolver":"https://pith.science/pith/274RC4Q57WY3VSM75AWFXJOWPU","bundle":"https://pith.science/pith/274RC4Q57WY3VSM75AWFXJOWPU/bundle.json","state":"https://pith.science/pith/274RC4Q57WY3VSM75AWFXJOWPU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/274RC4Q57WY3VSM75AWFXJOWPU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:274RC4Q57WY3VSM75AWFXJOWPU","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":"e527a362e28cfe55586a887a33fff291b194f18302d99cafbacc787306477844","cross_cats_sorted":["cs.SY","eess.SY","hep-ph"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-05-25T19:57:57Z","title_canon_sha256":"42f8a3a338aebf5c58c8d87c54d716c0e8bfb06ee4ba263480075f1f5bad6c9a"},"schema_version":"1.0","source":{"id":"2605.26305","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.26305","created_at":"2026-05-27T01:05:11Z"},{"alias_kind":"arxiv_version","alias_value":"2605.26305v1","created_at":"2026-05-27T01:05:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.26305","created_at":"2026-05-27T01:05:11Z"},{"alias_kind":"pith_short_12","alias_value":"274RC4Q57WY3","created_at":"2026-05-27T01:05:11Z"},{"alias_kind":"pith_short_16","alias_value":"274RC4Q57WY3VSM7","created_at":"2026-05-27T01:05:11Z"},{"alias_kind":"pith_short_8","alias_value":"274RC4Q5","created_at":"2026-05-27T01:05:11Z"}],"graph_snapshots":[{"event_id":"sha256:003721485654531f5c5edebfc7dcf01d1c7598f65ff9d482fa734b8147289324","target":"graph","created_at":"2026-05-27T01:05:11Z","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/2605.26305/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper details two novel frameworks for developing autonomous, agentic AI in scientific workflows. Both systems leverage a hybrid Local Body, Remote Brain architecture via Google Colab, utilizing Python-based local orchestrators to invoke large language model (LLM) cloud backends. The first agent, DeepTS/DeepCollector, automates the large-scale curation, extraction, and deduplication of time-series datasets. The second, DeepScribe, is an autonomous presentation analyzer that converts visually dense, mathematically complex physics lectures into structured scientific reports. Through practic","authors_text":"Geoffrey Fox, Judy Fox","cross_cats":["cs.SY","eess.SY","hep-ph"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-05-25T19:57:57Z","title":"Experiments in Agentic AI for Science"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.26305","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":"sha256:655a9d24bc1cf752cf296baacc904ee05bbe6fe8a5b452973dd8aa8a50b36a3d","target":"record","created_at":"2026-05-27T01:05:11Z","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":"e527a362e28cfe55586a887a33fff291b194f18302d99cafbacc787306477844","cross_cats_sorted":["cs.SY","eess.SY","hep-ph"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-05-25T19:57:57Z","title_canon_sha256":"42f8a3a338aebf5c58c8d87c54d716c0e8bfb06ee4ba263480075f1f5bad6c9a"},"schema_version":"1.0","source":{"id":"2605.26305","kind":"arxiv","version":1}},"canonical_sha256":"d7f911721dfdb1bac99fe82c5ba5d67d11c0b88276be1ba40788f1afbb8467db","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d7f911721dfdb1bac99fe82c5ba5d67d11c0b88276be1ba40788f1afbb8467db","first_computed_at":"2026-05-27T01:05:11.018853Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-27T01:05:11.018853Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"kn8lT/NFPwLJ43iaM3qV1k9dVZL6zkMqUFKTClYmuXueATzJ8bfLFzPNWGkrCwFYPN0/LEIETGvAZhxJ64JxBw==","signature_status":"signed_v1","signed_at":"2026-05-27T01:05:11.019688Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.26305","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:655a9d24bc1cf752cf296baacc904ee05bbe6fe8a5b452973dd8aa8a50b36a3d","sha256:003721485654531f5c5edebfc7dcf01d1c7598f65ff9d482fa734b8147289324"],"state_sha256":"2dd52541e2f0930b131ba8075479a87c7f23569f30aecb55ae57b254086d2e19"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0/7CMaVXGeopdnNQucW+D4iPgVvWZF3eoCYowsdZCad8JQ4bQri4QxPtzhPyhmsz1vz4k61llfe28q6HB3aeDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-04T12:07:55.730446Z","bundle_sha256":"a4875f6f5d3e854103d53b0dbce64162d0f6193293728c2d54cd1ab3e81a044b"}}