{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:YAP6ZBJFQQBC5IZJOWQWIWGQFZ","short_pith_number":"pith:YAP6ZBJF","canonical_record":{"source":{"id":"2607.19790","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-22T06:17:57Z","cross_cats_sorted":[],"title_canon_sha256":"aab34909573c4ee838ad9919c361210a94ff7a78fa2daf94f9da89610c24c6c9","abstract_canon_sha256":"e133ae424267529b48613433284a3a7e42fb5e4b4dca41ecfa82520ba913f83c"},"schema_version":"1.0"},"canonical_sha256":"c01fec852584022ea32975a16458d02e63cae505b5eaa5150295a0cc98327c26","source":{"kind":"arxiv","id":"2607.19790","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.19790","created_at":"2026-07-23T01:23:59Z"},{"alias_kind":"arxiv_version","alias_value":"2607.19790v1","created_at":"2026-07-23T01:23:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.19790","created_at":"2026-07-23T01:23:59Z"},{"alias_kind":"pith_short_12","alias_value":"YAP6ZBJFQQBC","created_at":"2026-07-23T01:23:59Z"},{"alias_kind":"pith_short_16","alias_value":"YAP6ZBJFQQBC5IZJ","created_at":"2026-07-23T01:23:59Z"},{"alias_kind":"pith_short_8","alias_value":"YAP6ZBJF","created_at":"2026-07-23T01:23:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:YAP6ZBJFQQBC5IZJOWQWIWGQFZ","target":"record","payload":{"canonical_record":{"source":{"id":"2607.19790","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-22T06:17:57Z","cross_cats_sorted":[],"title_canon_sha256":"aab34909573c4ee838ad9919c361210a94ff7a78fa2daf94f9da89610c24c6c9","abstract_canon_sha256":"e133ae424267529b48613433284a3a7e42fb5e4b4dca41ecfa82520ba913f83c"},"schema_version":"1.0"},"canonical_sha256":"c01fec852584022ea32975a16458d02e63cae505b5eaa5150295a0cc98327c26","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-23T01:23:59.470306Z","signature_b64":"0Hbbnx3th5MuIAcEeVVBiB2Dlk0tnBVG8KMci9FXx8k4SwmYzC6JGsNT2aNC/VkLlbaPi/HxjTAXQcXUz8xhAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c01fec852584022ea32975a16458d02e63cae505b5eaa5150295a0cc98327c26","last_reissued_at":"2026-07-23T01:23:59.469422Z","signature_status":"signed_v1","first_computed_at":"2026-07-23T01:23:59.469422Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.19790","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":"2026-07-23T01:23:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Dsu6WV0IZyWPND8B2xb2hgCMnfUa5qQUo9FYN6JjLeG46sB2vZKvzQerdL8WyEmtl43Eei3jpJe6uDH6ih+aCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T16:24:28.765641Z"},"content_sha256":"f3c4419cf105d17eae99fdab371caf77c4addaa05a151dd63f9227d3350794cb","schema_version":"1.0","event_id":"sha256:f3c4419cf105d17eae99fdab371caf77c4addaa05a151dd63f9227d3350794cb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:YAP6ZBJFQQBC5IZJOWQWIWGQFZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Trace: A Taxonomy-Guided Environment for Multidomain Visual Reasoning","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Md Tanvirul Alam","submitted_at":"2026-07-22T06:17:57Z","abstract_excerpt":"Reinforcement learning with verifiable rewards (RLVR) has substantially improved language-model reasoning, yet its extension to vision-language models remains constrained by the lack of training data that are simultaneously broad, exactly verifiable, and reproducible. We introduce Trace, a taxonomy-guided environment for multidomain visual reasoning. Trace factorizes task construction into a scene grammar and an executable task program, separating visual realization from answer computation. A shared semantic state determines the rendered image, prompt, typed answer, verifier state, and replaya"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.19790","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/2607.19790/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":"2026-07-23T01:23:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aGQBX0C/yjykxxoLs6D53E9MwvbrF9hAaQezennYllWfJk4KaP6bpDieianfBP0AC05TOgs/5rMo8Xxyb0sVDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T16:24:28.766243Z"},"content_sha256":"7e13a2aa3def0f3e4e0c822c699e6fb8d48d29f87063cb700bef9ed1d26c7d35","schema_version":"1.0","event_id":"sha256:7e13a2aa3def0f3e4e0c822c699e6fb8d48d29f87063cb700bef9ed1d26c7d35"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YAP6ZBJFQQBC5IZJOWQWIWGQFZ/bundle.json","state_url":"https://pith.science/pith/YAP6ZBJFQQBC5IZJOWQWIWGQFZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YAP6ZBJFQQBC5IZJOWQWIWGQFZ/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":"2026-08-03T16:24:28Z","links":{"resolver":"https://pith.science/pith/YAP6ZBJFQQBC5IZJOWQWIWGQFZ","bundle":"https://pith.science/pith/YAP6ZBJFQQBC5IZJOWQWIWGQFZ/bundle.json","state":"https://pith.science/pith/YAP6ZBJFQQBC5IZJOWQWIWGQFZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YAP6ZBJFQQBC5IZJOWQWIWGQFZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:YAP6ZBJFQQBC5IZJOWQWIWGQFZ","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":"e133ae424267529b48613433284a3a7e42fb5e4b4dca41ecfa82520ba913f83c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-22T06:17:57Z","title_canon_sha256":"aab34909573c4ee838ad9919c361210a94ff7a78fa2daf94f9da89610c24c6c9"},"schema_version":"1.0","source":{"id":"2607.19790","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.19790","created_at":"2026-07-23T01:23:59Z"},{"alias_kind":"arxiv_version","alias_value":"2607.19790v1","created_at":"2026-07-23T01:23:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.19790","created_at":"2026-07-23T01:23:59Z"},{"alias_kind":"pith_short_12","alias_value":"YAP6ZBJFQQBC","created_at":"2026-07-23T01:23:59Z"},{"alias_kind":"pith_short_16","alias_value":"YAP6ZBJFQQBC5IZJ","created_at":"2026-07-23T01:23:59Z"},{"alias_kind":"pith_short_8","alias_value":"YAP6ZBJF","created_at":"2026-07-23T01:23:59Z"}],"graph_snapshots":[{"event_id":"sha256:7e13a2aa3def0f3e4e0c822c699e6fb8d48d29f87063cb700bef9ed1d26c7d35","target":"graph","created_at":"2026-07-23T01:23:59Z","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/2607.19790/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Reinforcement learning with verifiable rewards (RLVR) has substantially improved language-model reasoning, yet its extension to vision-language models remains constrained by the lack of training data that are simultaneously broad, exactly verifiable, and reproducible. We introduce Trace, a taxonomy-guided environment for multidomain visual reasoning. Trace factorizes task construction into a scene grammar and an executable task program, separating visual realization from answer computation. A shared semantic state determines the rendered image, prompt, typed answer, verifier state, and replaya","authors_text":"Md Tanvirul Alam","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-22T06:17:57Z","title":"Trace: A Taxonomy-Guided Environment for Multidomain Visual Reasoning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.19790","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:f3c4419cf105d17eae99fdab371caf77c4addaa05a151dd63f9227d3350794cb","target":"record","created_at":"2026-07-23T01:23:59Z","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":"e133ae424267529b48613433284a3a7e42fb5e4b4dca41ecfa82520ba913f83c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-22T06:17:57Z","title_canon_sha256":"aab34909573c4ee838ad9919c361210a94ff7a78fa2daf94f9da89610c24c6c9"},"schema_version":"1.0","source":{"id":"2607.19790","kind":"arxiv","version":1}},"canonical_sha256":"c01fec852584022ea32975a16458d02e63cae505b5eaa5150295a0cc98327c26","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c01fec852584022ea32975a16458d02e63cae505b5eaa5150295a0cc98327c26","first_computed_at":"2026-07-23T01:23:59.469422Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-23T01:23:59.469422Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0Hbbnx3th5MuIAcEeVVBiB2Dlk0tnBVG8KMci9FXx8k4SwmYzC6JGsNT2aNC/VkLlbaPi/HxjTAXQcXUz8xhAg==","signature_status":"signed_v1","signed_at":"2026-07-23T01:23:59.470306Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.19790","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f3c4419cf105d17eae99fdab371caf77c4addaa05a151dd63f9227d3350794cb","sha256:7e13a2aa3def0f3e4e0c822c699e6fb8d48d29f87063cb700bef9ed1d26c7d35"],"state_sha256":"069c00b66c0f9192f6e7aa2df08de49e88c8566a12bdf4040889c05ba7a4009b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/w297BakjWAmchWRffayRGjUhofeEkcF1TH9BT71SSEzOijVQHp5WkvjPzPNUu5+S3EZaVrwrze+tNzPQG8xDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T16:24:28.769635Z","bundle_sha256":"84f09d5a0959f1c7b480d9d3ad412cc3353a1992ede2c5ac6ad384982e5f7ccd"}}