{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:E6ZYHYMFHPXMM32YYWDT6I73NP","short_pith_number":"pith:E6ZYHYMF","canonical_record":{"source":{"id":"2606.06893","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-06-05T04:19:57Z","cross_cats_sorted":[],"title_canon_sha256":"9cc8183e1a1aff013c19ab5bbec28956e3fd7a255a77b1244e0691b39861bf63","abstract_canon_sha256":"c0cf4f3eb856c9da7f339e107a83bcc890538af344ab72ef7af0be24a0fe17c9"},"schema_version":"1.0"},"canonical_sha256":"27b383e1853beec66f58c5873f23fb6bd653a1d3017c5275954f2972e62b43f1","source":{"kind":"arxiv","id":"2606.06893","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.06893","created_at":"2026-06-08T01:04:34Z"},{"alias_kind":"arxiv_version","alias_value":"2606.06893v1","created_at":"2026-06-08T01:04:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.06893","created_at":"2026-06-08T01:04:34Z"},{"alias_kind":"pith_short_12","alias_value":"E6ZYHYMFHPXM","created_at":"2026-06-08T01:04:34Z"},{"alias_kind":"pith_short_16","alias_value":"E6ZYHYMFHPXMM32Y","created_at":"2026-06-08T01:04:34Z"},{"alias_kind":"pith_short_8","alias_value":"E6ZYHYMF","created_at":"2026-06-08T01:04:34Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:E6ZYHYMFHPXMM32YYWDT6I73NP","target":"record","payload":{"canonical_record":{"source":{"id":"2606.06893","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-06-05T04:19:57Z","cross_cats_sorted":[],"title_canon_sha256":"9cc8183e1a1aff013c19ab5bbec28956e3fd7a255a77b1244e0691b39861bf63","abstract_canon_sha256":"c0cf4f3eb856c9da7f339e107a83bcc890538af344ab72ef7af0be24a0fe17c9"},"schema_version":"1.0"},"canonical_sha256":"27b383e1853beec66f58c5873f23fb6bd653a1d3017c5275954f2972e62b43f1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-08T01:04:34.350261Z","signature_b64":"QUTq+MsNC5bsUpbUM87gwcHrr529Fnog5o7Ja9mVf3wMxI8C686yd4ufPl8ONVeo6JvuWYN62pqeGsrpi3z/CQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"27b383e1853beec66f58c5873f23fb6bd653a1d3017c5275954f2972e62b43f1","last_reissued_at":"2026-06-08T01:04:34.349790Z","signature_status":"signed_v1","first_computed_at":"2026-06-08T01:04:34.349790Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.06893","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":"2026-06-08T01:04:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"X2BM04A+ArGZrICo5Ti6m4I13Z8PxAMkSPW1pEb19N1kOh5qVyGbzYhee66RwWKH8HkKzmcf+zEk4E//42D3DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-28T20:30:56.760568Z"},"content_sha256":"785277d0a3f6761c83be52c805e1150dac605db9dad94e23d1d9bb26feffee99","schema_version":"1.0","event_id":"sha256:785277d0a3f6761c83be52c805e1150dac605db9dad94e23d1d9bb26feffee99"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:E6ZYHYMFHPXMM32YYWDT6I73NP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Workflow-to-Skill: Skill Creation via Routing-Workflow-Semantics-Attachments Decomposition","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Run Wang, Xinyuan Han, Xudong Jiang, Yuyang Zhang","submitted_at":"2026-06-05T04:19:57Z","abstract_excerpt":"Large language model agents increasingly rely on Skills to encode procedural knowledge, yet high-quality Skills remain costly to hand-write. This paper studies automatic Skill construction from heterogeneous interaction evidence, including demonstrations, agent trajectories, tool traces, and execution logs. We argue that trace-to-skill construction is not simple summarization tasks, because traces are fragmented, redundant, and may miss rare but safety-critical behaviors. To address this, we introduce RWSA, a workflow-oriented intermediate representation that decomposes Skills into Workflow st"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.06893","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/2606.06893/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":"2026-06-08T01:04:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UgEMbp4AKNvqokZ2vGAxyXApQONKwhSM6u78FCCUMfETcXKTFO/n74AIte+va9oT+r8x94GrPne/6I4fioZcCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-28T20:30:56.760930Z"},"content_sha256":"866447900d1d407c90ce4ec0a36686dc6b127a037d98055fe28b2c0623cf4245","schema_version":"1.0","event_id":"sha256:866447900d1d407c90ce4ec0a36686dc6b127a037d98055fe28b2c0623cf4245"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/E6ZYHYMFHPXMM32YYWDT6I73NP/bundle.json","state_url":"https://pith.science/pith/E6ZYHYMFHPXMM32YYWDT6I73NP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/E6ZYHYMFHPXMM32YYWDT6I73NP/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":"2026-06-28T20:30:56Z","links":{"resolver":"https://pith.science/pith/E6ZYHYMFHPXMM32YYWDT6I73NP","bundle":"https://pith.science/pith/E6ZYHYMFHPXMM32YYWDT6I73NP/bundle.json","state":"https://pith.science/pith/E6ZYHYMFHPXMM32YYWDT6I73NP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/E6ZYHYMFHPXMM32YYWDT6I73NP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:E6ZYHYMFHPXMM32YYWDT6I73NP","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":"c0cf4f3eb856c9da7f339e107a83bcc890538af344ab72ef7af0be24a0fe17c9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-06-05T04:19:57Z","title_canon_sha256":"9cc8183e1a1aff013c19ab5bbec28956e3fd7a255a77b1244e0691b39861bf63"},"schema_version":"1.0","source":{"id":"2606.06893","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.06893","created_at":"2026-06-08T01:04:34Z"},{"alias_kind":"arxiv_version","alias_value":"2606.06893v1","created_at":"2026-06-08T01:04:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.06893","created_at":"2026-06-08T01:04:34Z"},{"alias_kind":"pith_short_12","alias_value":"E6ZYHYMFHPXM","created_at":"2026-06-08T01:04:34Z"},{"alias_kind":"pith_short_16","alias_value":"E6ZYHYMFHPXMM32Y","created_at":"2026-06-08T01:04:34Z"},{"alias_kind":"pith_short_8","alias_value":"E6ZYHYMF","created_at":"2026-06-08T01:04:34Z"}],"graph_snapshots":[{"event_id":"sha256:866447900d1d407c90ce4ec0a36686dc6b127a037d98055fe28b2c0623cf4245","target":"graph","created_at":"2026-06-08T01:04:34Z","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/2606.06893/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language model agents increasingly rely on Skills to encode procedural knowledge, yet high-quality Skills remain costly to hand-write. This paper studies automatic Skill construction from heterogeneous interaction evidence, including demonstrations, agent trajectories, tool traces, and execution logs. We argue that trace-to-skill construction is not simple summarization tasks, because traces are fragmented, redundant, and may miss rare but safety-critical behaviors. To address this, we introduce RWSA, a workflow-oriented intermediate representation that decomposes Skills into Workflow st","authors_text":"Run Wang, Xinyuan Han, Xudong Jiang, Yuyang Zhang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-06-05T04:19:57Z","title":"Workflow-to-Skill: Skill Creation via Routing-Workflow-Semantics-Attachments Decomposition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.06893","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":"sha256:785277d0a3f6761c83be52c805e1150dac605db9dad94e23d1d9bb26feffee99","target":"record","created_at":"2026-06-08T01:04:34Z","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":"c0cf4f3eb856c9da7f339e107a83bcc890538af344ab72ef7af0be24a0fe17c9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-06-05T04:19:57Z","title_canon_sha256":"9cc8183e1a1aff013c19ab5bbec28956e3fd7a255a77b1244e0691b39861bf63"},"schema_version":"1.0","source":{"id":"2606.06893","kind":"arxiv","version":1}},"canonical_sha256":"27b383e1853beec66f58c5873f23fb6bd653a1d3017c5275954f2972e62b43f1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"27b383e1853beec66f58c5873f23fb6bd653a1d3017c5275954f2972e62b43f1","first_computed_at":"2026-06-08T01:04:34.349790Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-08T01:04:34.349790Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QUTq+MsNC5bsUpbUM87gwcHrr529Fnog5o7Ja9mVf3wMxI8C686yd4ufPl8ONVeo6JvuWYN62pqeGsrpi3z/CQ==","signature_status":"signed_v1","signed_at":"2026-06-08T01:04:34.350261Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.06893","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:785277d0a3f6761c83be52c805e1150dac605db9dad94e23d1d9bb26feffee99","sha256:866447900d1d407c90ce4ec0a36686dc6b127a037d98055fe28b2c0623cf4245"],"state_sha256":"044d64ff05d95577c97f1f5ba634a9c58dfd97d875bf5fc0e6151156350df1c5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sPKXNKy6w+CoJOE64/vG6HM8aI+jXQB70FHQC6s9eMOLtoz9B5eoFQGi0wCjCCsNVf4dGOO/9et7DbUyXhFDCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-28T20:30:56.762914Z","bundle_sha256":"d89203daec5fa99c63aed8abf05422ce30abefa4b9eb971665343b615aad274c"}}