{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:N7G2QCY53CAH3VWWYMWNRGSMU5","short_pith_number":"pith:N7G2QCY5","canonical_record":{"source":{"id":"2607.25915","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-07-28T16:06:46Z","cross_cats_sorted":[],"title_canon_sha256":"5e5de4a35674d79765a31b47bcf9581b5d1c4b12c44382bfc69035460186f732","abstract_canon_sha256":"fdcd9a962a7afc5841563869a5233a50bcfaf69fdeb66fb138781fa01e1ccf4a"},"schema_version":"1.0"},"canonical_sha256":"6fcda80b1dd8807dd6d6c32cd89a4ca75d01d6893692a15a03d6172a0ec59891","source":{"kind":"arxiv","id":"2607.25915","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.25915","created_at":"2026-07-29T01:26:10Z"},{"alias_kind":"arxiv_version","alias_value":"2607.25915v1","created_at":"2026-07-29T01:26:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.25915","created_at":"2026-07-29T01:26:10Z"},{"alias_kind":"pith_short_12","alias_value":"N7G2QCY53CAH","created_at":"2026-07-29T01:26:10Z"},{"alias_kind":"pith_short_16","alias_value":"N7G2QCY53CAH3VWW","created_at":"2026-07-29T01:26:10Z"},{"alias_kind":"pith_short_8","alias_value":"N7G2QCY5","created_at":"2026-07-29T01:26:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:N7G2QCY53CAH3VWWYMWNRGSMU5","target":"record","payload":{"canonical_record":{"source":{"id":"2607.25915","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-07-28T16:06:46Z","cross_cats_sorted":[],"title_canon_sha256":"5e5de4a35674d79765a31b47bcf9581b5d1c4b12c44382bfc69035460186f732","abstract_canon_sha256":"fdcd9a962a7afc5841563869a5233a50bcfaf69fdeb66fb138781fa01e1ccf4a"},"schema_version":"1.0"},"canonical_sha256":"6fcda80b1dd8807dd6d6c32cd89a4ca75d01d6893692a15a03d6172a0ec59891","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-29T01:26:10.933863Z","signature_b64":"PsbMS80p6xYi6bWr9MOYFzJflKs9+5JFjOo2chgxoPIfv0nGfHi9h0KJur5iIp+22CdaeTT2hAhPTKEo4jVDAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6fcda80b1dd8807dd6d6c32cd89a4ca75d01d6893692a15a03d6172a0ec59891","last_reissued_at":"2026-07-29T01:26:10.933031Z","signature_status":"signed_v1","first_computed_at":"2026-07-29T01:26:10.933031Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.25915","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":"2026-07-29T01:26:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lbf6u0Y/ETnvCBDnLzWw5OFILuF6pS0fxgIi6hsC0i+ja8LVLscJ2Lo066G2gNaojebhC0D1A6XkoMXtTYpvCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T04:16:26.655625Z"},"content_sha256":"675c3b6687964431ecc393227dd9b2bbb657558e66035b514a002a355bab5df4","schema_version":"1.0","event_id":"sha256:675c3b6687964431ecc393227dd9b2bbb657558e66035b514a002a355bab5df4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:N7G2QCY53CAH3VWWYMWNRGSMU5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Penelope: Localized Latent Recurrence for Efficient Structured Reasoning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Haochen Wang, Jiaying Wang, Shouqian Shi, Tianxing Xu, Xinran Liu, Yuanxi Wang, Yutong Chen, Zirui Ding","submitted_at":"2026-07-28T16:06:46Z","abstract_excerpt":"Complex structured reasoning tasks often require additional computation, yet current language models obtain it mainly by increasing parameter scale or by serializing intermediate steps as chain-of-thought (CoT) tokens. The former raises training and deployment costs, while the latter ties reasoning computation to autoregressive output length. We introduce Penelope, an efficient latent-reasoning framework for pretrained decoder-only Transformers that localizes recurrent computation to a selected decoder interval. The lower decoder prefix is evaluated once to construct a problem-conditioned boun"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.25915","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/2607.25915/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":"2026-07-29T01:26:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mV7EPDnmKPYwpUHq2fgJgJW4p7pr27zVwbDBFYzHrHfrIlrYTPe79T78qkPSqTs/FKNxvQ7tUYI1GKvc2VO8BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T04:16:26.656134Z"},"content_sha256":"8bd02d60a187fe8654352afc0af89cd0e0c97d4f550c64bde7ce06d2ae5cbdde","schema_version":"1.0","event_id":"sha256:8bd02d60a187fe8654352afc0af89cd0e0c97d4f550c64bde7ce06d2ae5cbdde"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/N7G2QCY53CAH3VWWYMWNRGSMU5/bundle.json","state_url":"https://pith.science/pith/N7G2QCY53CAH3VWWYMWNRGSMU5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/N7G2QCY53CAH3VWWYMWNRGSMU5/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":"2026-08-17T04:16:26Z","links":{"resolver":"https://pith.science/pith/N7G2QCY53CAH3VWWYMWNRGSMU5","bundle":"https://pith.science/pith/N7G2QCY53CAH3VWWYMWNRGSMU5/bundle.json","state":"https://pith.science/pith/N7G2QCY53CAH3VWWYMWNRGSMU5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/N7G2QCY53CAH3VWWYMWNRGSMU5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:N7G2QCY53CAH3VWWYMWNRGSMU5","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":"fdcd9a962a7afc5841563869a5233a50bcfaf69fdeb66fb138781fa01e1ccf4a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-07-28T16:06:46Z","title_canon_sha256":"5e5de4a35674d79765a31b47bcf9581b5d1c4b12c44382bfc69035460186f732"},"schema_version":"1.0","source":{"id":"2607.25915","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.25915","created_at":"2026-07-29T01:26:10Z"},{"alias_kind":"arxiv_version","alias_value":"2607.25915v1","created_at":"2026-07-29T01:26:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.25915","created_at":"2026-07-29T01:26:10Z"},{"alias_kind":"pith_short_12","alias_value":"N7G2QCY53CAH","created_at":"2026-07-29T01:26:10Z"},{"alias_kind":"pith_short_16","alias_value":"N7G2QCY53CAH3VWW","created_at":"2026-07-29T01:26:10Z"},{"alias_kind":"pith_short_8","alias_value":"N7G2QCY5","created_at":"2026-07-29T01:26:10Z"}],"graph_snapshots":[{"event_id":"sha256:8bd02d60a187fe8654352afc0af89cd0e0c97d4f550c64bde7ce06d2ae5cbdde","target":"graph","created_at":"2026-07-29T01:26:10Z","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/2607.25915/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Complex structured reasoning tasks often require additional computation, yet current language models obtain it mainly by increasing parameter scale or by serializing intermediate steps as chain-of-thought (CoT) tokens. The former raises training and deployment costs, while the latter ties reasoning computation to autoregressive output length. We introduce Penelope, an efficient latent-reasoning framework for pretrained decoder-only Transformers that localizes recurrent computation to a selected decoder interval. The lower decoder prefix is evaluated once to construct a problem-conditioned boun","authors_text":"Haochen Wang, Jiaying Wang, Shouqian Shi, Tianxing Xu, Xinran Liu, Yuanxi Wang, Yutong Chen, Zirui Ding","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-07-28T16:06:46Z","title":"Penelope: Localized Latent Recurrence for Efficient Structured Reasoning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.25915","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":"sha256:675c3b6687964431ecc393227dd9b2bbb657558e66035b514a002a355bab5df4","target":"record","created_at":"2026-07-29T01:26:10Z","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":"fdcd9a962a7afc5841563869a5233a50bcfaf69fdeb66fb138781fa01e1ccf4a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-07-28T16:06:46Z","title_canon_sha256":"5e5de4a35674d79765a31b47bcf9581b5d1c4b12c44382bfc69035460186f732"},"schema_version":"1.0","source":{"id":"2607.25915","kind":"arxiv","version":1}},"canonical_sha256":"6fcda80b1dd8807dd6d6c32cd89a4ca75d01d6893692a15a03d6172a0ec59891","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6fcda80b1dd8807dd6d6c32cd89a4ca75d01d6893692a15a03d6172a0ec59891","first_computed_at":"2026-07-29T01:26:10.933031Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-29T01:26:10.933031Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"PsbMS80p6xYi6bWr9MOYFzJflKs9+5JFjOo2chgxoPIfv0nGfHi9h0KJur5iIp+22CdaeTT2hAhPTKEo4jVDAQ==","signature_status":"signed_v1","signed_at":"2026-07-29T01:26:10.933863Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.25915","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:675c3b6687964431ecc393227dd9b2bbb657558e66035b514a002a355bab5df4","sha256:8bd02d60a187fe8654352afc0af89cd0e0c97d4f550c64bde7ce06d2ae5cbdde"],"state_sha256":"d22c17a640a6f91594e7e1ce1973db098c2dd93afdd0d0d9618cce9f3d0eda8b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NzaPvqxjUOfF41tUhCKfjkIUGxojS+p5zFEIKFgTtKxnZtsK0QKPN2spn1zj4SStMZPVy6BxEYjizPUAyh3QCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-17T04:16:26.661836Z","bundle_sha256":"457c1c1c9018ca3b3ef793cc40f94b38876aa8c1a691d091c2a4f15bb0431d6c"}}