{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:LVMXYBGN3QEGYZRNDWMYP7HGNW","short_pith_number":"pith:LVMXYBGN","canonical_record":{"source":{"id":"2409.00413","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2024-08-31T10:31:00Z","cross_cats_sorted":[],"title_canon_sha256":"6732dc66518fe3e620e22ad9ab5f010aa431bfd88bf610c12ef4374b7d0ec69b","abstract_canon_sha256":"50582cde27f4570d3d1e4ba05cd4ba35decbd106444e8bd87f3d532127d03d66"},"schema_version":"1.0"},"canonical_sha256":"5d597c04cddc086c662d1d9987fce66da108ccf049bed815f059f882eb606ca7","source":{"kind":"arxiv","id":"2409.00413","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.00413","created_at":"2026-07-05T09:01:47Z"},{"alias_kind":"arxiv_version","alias_value":"2409.00413v1","created_at":"2026-07-05T09:01:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.00413","created_at":"2026-07-05T09:01:47Z"},{"alias_kind":"pith_short_12","alias_value":"LVMXYBGN3QEG","created_at":"2026-07-05T09:01:47Z"},{"alias_kind":"pith_short_16","alias_value":"LVMXYBGN3QEGYZRN","created_at":"2026-07-05T09:01:47Z"},{"alias_kind":"pith_short_8","alias_value":"LVMXYBGN","created_at":"2026-07-05T09:01:47Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:LVMXYBGN3QEGYZRNDWMYP7HGNW","target":"record","payload":{"canonical_record":{"source":{"id":"2409.00413","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2024-08-31T10:31:00Z","cross_cats_sorted":[],"title_canon_sha256":"6732dc66518fe3e620e22ad9ab5f010aa431bfd88bf610c12ef4374b7d0ec69b","abstract_canon_sha256":"50582cde27f4570d3d1e4ba05cd4ba35decbd106444e8bd87f3d532127d03d66"},"schema_version":"1.0"},"canonical_sha256":"5d597c04cddc086c662d1d9987fce66da108ccf049bed815f059f882eb606ca7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:01:47.178007Z","signature_b64":"+t6+zsBZumiQbEWRycfQBgiO2KTykJBWPgvzMl07Mj+MLME6e21lUVFHzVjjo1VeKAvPmG6NqjxV1NNbUQMlDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5d597c04cddc086c662d1d9987fce66da108ccf049bed815f059f882eb606ca7","last_reissued_at":"2026-07-05T09:01:47.177520Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:01:47.177520Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2409.00413","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":"2026-07-05T09:01:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"acyCSgmryt4mk91kXdNOnfpmHl9VuQG9fNx5iny2pMU5kUU9n6yUjYYGfaD+IbiehCVsu4jQkCGeVXPrffD6CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T01:07:53.485685Z"},"content_sha256":"084bb696185a998a6419cc3ed03a1bffc7f0d4df01c1996bff175fc47e3ca036","schema_version":"1.0","event_id":"sha256:084bb696185a998a6419cc3ed03a1bffc7f0d4df01c1996bff175fc47e3ca036"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:LVMXYBGN3QEGYZRNDWMYP7HGNW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"iToT: An Interactive System for Customized Tree-of-Thought Generation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.HC","authors_text":"Alan Boyle, Furui Cheng, Isha Gupta, Kenza Amara, Lukas Mautner, Mennatallah El-Assady, Sebastian H\\\"onig","submitted_at":"2024-08-31T10:31:00Z","abstract_excerpt":"As language models have become increasingly successful at a wide array of tasks, different prompt engineering methods have been developed alongside them in order to adapt these models to new tasks. One of them is Tree-of-Thoughts (ToT), a prompting strategy and framework for language model inference and problem-solving. It allows the model to explore multiple solution paths and select the best course of action, producing a tree-like structure of intermediate steps (i.e., thoughts). This method was shown to be effective for several problem types. However, the official implementation has a high "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.00413","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/2409.00413/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":"2026-07-05T09:01:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vbzoxnt+ESQQZ0k/So4F0d997dpv8lr6ZEhYtOmCcdllv6jSbA8BZZsOwCzBm6WCdqdQPSYxr2q7JuhXp9LSBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T01:07:53.486735Z"},"content_sha256":"a40d596e166b94ed053f277d8826b9ef8f9bd6423a70fbe3082f0dee34001835","schema_version":"1.0","event_id":"sha256:a40d596e166b94ed053f277d8826b9ef8f9bd6423a70fbe3082f0dee34001835"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LVMXYBGN3QEGYZRNDWMYP7HGNW/bundle.json","state_url":"https://pith.science/pith/LVMXYBGN3QEGYZRNDWMYP7HGNW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LVMXYBGN3QEGYZRNDWMYP7HGNW/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":"2026-08-04T01:07:53Z","links":{"resolver":"https://pith.science/pith/LVMXYBGN3QEGYZRNDWMYP7HGNW","bundle":"https://pith.science/pith/LVMXYBGN3QEGYZRNDWMYP7HGNW/bundle.json","state":"https://pith.science/pith/LVMXYBGN3QEGYZRNDWMYP7HGNW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LVMXYBGN3QEGYZRNDWMYP7HGNW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:LVMXYBGN3QEGYZRNDWMYP7HGNW","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":"50582cde27f4570d3d1e4ba05cd4ba35decbd106444e8bd87f3d532127d03d66","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2024-08-31T10:31:00Z","title_canon_sha256":"6732dc66518fe3e620e22ad9ab5f010aa431bfd88bf610c12ef4374b7d0ec69b"},"schema_version":"1.0","source":{"id":"2409.00413","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.00413","created_at":"2026-07-05T09:01:47Z"},{"alias_kind":"arxiv_version","alias_value":"2409.00413v1","created_at":"2026-07-05T09:01:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.00413","created_at":"2026-07-05T09:01:47Z"},{"alias_kind":"pith_short_12","alias_value":"LVMXYBGN3QEG","created_at":"2026-07-05T09:01:47Z"},{"alias_kind":"pith_short_16","alias_value":"LVMXYBGN3QEGYZRN","created_at":"2026-07-05T09:01:47Z"},{"alias_kind":"pith_short_8","alias_value":"LVMXYBGN","created_at":"2026-07-05T09:01:47Z"}],"graph_snapshots":[{"event_id":"sha256:a40d596e166b94ed053f277d8826b9ef8f9bd6423a70fbe3082f0dee34001835","target":"graph","created_at":"2026-07-05T09:01:47Z","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/2409.00413/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"As language models have become increasingly successful at a wide array of tasks, different prompt engineering methods have been developed alongside them in order to adapt these models to new tasks. One of them is Tree-of-Thoughts (ToT), a prompting strategy and framework for language model inference and problem-solving. It allows the model to explore multiple solution paths and select the best course of action, producing a tree-like structure of intermediate steps (i.e., thoughts). This method was shown to be effective for several problem types. However, the official implementation has a high ","authors_text":"Alan Boyle, Furui Cheng, Isha Gupta, Kenza Amara, Lukas Mautner, Mennatallah El-Assady, Sebastian H\\\"onig","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2024-08-31T10:31:00Z","title":"iToT: An Interactive System for Customized Tree-of-Thought Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.00413","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":"sha256:084bb696185a998a6419cc3ed03a1bffc7f0d4df01c1996bff175fc47e3ca036","target":"record","created_at":"2026-07-05T09:01:47Z","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":"50582cde27f4570d3d1e4ba05cd4ba35decbd106444e8bd87f3d532127d03d66","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2024-08-31T10:31:00Z","title_canon_sha256":"6732dc66518fe3e620e22ad9ab5f010aa431bfd88bf610c12ef4374b7d0ec69b"},"schema_version":"1.0","source":{"id":"2409.00413","kind":"arxiv","version":1}},"canonical_sha256":"5d597c04cddc086c662d1d9987fce66da108ccf049bed815f059f882eb606ca7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5d597c04cddc086c662d1d9987fce66da108ccf049bed815f059f882eb606ca7","first_computed_at":"2026-07-05T09:01:47.177520Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:01:47.177520Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+t6+zsBZumiQbEWRycfQBgiO2KTykJBWPgvzMl07Mj+MLME6e21lUVFHzVjjo1VeKAvPmG6NqjxV1NNbUQMlDg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:01:47.178007Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.00413","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:084bb696185a998a6419cc3ed03a1bffc7f0d4df01c1996bff175fc47e3ca036","sha256:a40d596e166b94ed053f277d8826b9ef8f9bd6423a70fbe3082f0dee34001835"],"state_sha256":"b8b2f9eaaa6c7f7e18868b1bf27df5b539bf8be577368710f71cf27d6504f2bf"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QIc+QqiNTMYmqqazago2XLq5ng0b+G9VKg2b3KR+57XyiQiFDYcSIEzKCfEiFoOd5cEGMYTzIsu/9R6/2u0+Aw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T01:07:53.493721Z","bundle_sha256":"e41586a73e48071738d8e8d0f6b6a8cb1481053eb5cd1968276eb06084eab03e"}}