{"as_of":"2026-08-10T22:53:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:65b428640e1b89bf9df3423dba4a0aed9c1f497e853603ea8fd54a7fb09020bd","coverage":[{"denominator":30,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":30,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T11:02:02.843031Z","state":"measured"},{"denominator":30,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":30,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2506.03673/citation-record","integrity":"/paper/2506.03673/integrity","json":"/paper/2506.03673/citation-record.json","paper":"/paper/2506.03673"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2303.08774","last_updated":"2024-03-04T06:01:33Z","snapshot_observed_at":"2026-08-07T07:30:12.213965Z","submitted_at":"2023-03-15T17:15:04Z","title":"GPT-4 Technical Report","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08774","snapshot_observed_at":"2026-08-07T11:02:00.137527Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.03673","last_updated":"2025-06-04T08:03:17Z","snapshot_observed_at":"2026-08-09T06:25:40.409806Z","submitted_at":"2025-06-04T08:03:17Z","title":"Reason from Future: Reverse Thought Chain Enhances LLM Reasoning","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-07T11:02:00.137527Z"},"links":{"cited_paper":"/paper/2303.08774","citing_paper":"/paper/2506.03673"},"observation_digest":"sha256:088a0d95e9ca4009992746464c488e14218c3b3728c41a76f25c65eff85386f5","observation_id":"be19672b-1f84-4828-befd-ad2b0d72ec11","resolution":{"observed_at":"2026-08-07T11:02:00.137527Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05915","last_updated":"2024-11-09T08:32:47Z","snapshot_observed_at":"2026-08-08T15:46:46.369730Z","submitted_at":"2024-10-08T11:09:31Z","title":"Give me a hint: Can LLMs take a hint to solve math problems?","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.05915","snapshot_observed_at":"2026-08-07T11:02:00.168903Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.03673","last_updated":"2025-06-04T08:03:17Z","snapshot_observed_at":"2026-08-09T06:25:40.409806Z","submitted_at":"2025-06-04T08:03:17Z","title":"Reason from Future: Reverse Thought Chain Enhances LLM Reasoning","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-07T11:02:00.168903Z"},"links":{"cited_paper":"/paper/2410.05915","citing_paper":"/paper/2506.03673"},"observation_digest":"sha256:0a572d4006988b8af3806d9ca47245e0c4f952534308183c8b118f610bb8ad89","observation_id":"70c51f84-f33e-44e3-8d1d-9447f97d16cb","resolution":{"observed_at":"2026-08-07T11:02:00.168903Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.09753","last_updated":"2024-04-16T17:53:37Z","snapshot_observed_at":"2026-08-10T12:11:03.274860Z","submitted_at":"2023-10-15T06:45:38Z","title":"When can transformers reason with abstract symbols?","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.09753","snapshot_observed_at":"2026-08-07T11:02:00.206114Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.03673","last_updated":"2025-06-04T08:03:17Z","snapshot_observed_at":"2026-08-09T06:25:40.409806Z","submitted_at":"2025-06-04T08:03:17Z","title":"Reason from Future: Reverse Thought Chain Enhances LLM Reasoning","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-07T11:02:00.206114Z"},"links":{"cited_paper":"/paper/2310.09753","citing_paper":"/paper/2506.03673"},"observation_digest":"sha256:4bc391da0d1102a4e5133feeea112040139a2aa777f22fbaaf521ef916467ff9","observation_id":"7e6908c5-01db-4798-b343-6566d5ebdd1b","resolution":{"observed_at":"2026-08-07T11:02:00.206114Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2110.14168","last_updated":"2021-11-18T00:23:45Z","snapshot_observed_at":"2026-08-07T01:45:38.840969Z","submitted_at":"2021-10-27T04:49:45Z","title":"Training Verifiers to Solve Math Word Problems","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.14168","snapshot_observed_at":"2026-08-07T11:02:00.233239Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.03673","last_updated":"2025-06-04T08:03:17Z","snapshot_observed_at":"2026-08-09T06:25:40.409806Z","submitted_at":"2025-06-04T08:03:17Z","title":"Reason from Future: Reverse Thought Chain Enhances LLM Reasoning","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-07T11:02:00.233239Z"},"links":{"cited_paper":"/paper/2110.14168","citing_paper":"/paper/2506.03673"},"observation_digest":"sha256:8c67a8ffc7dd4725ce9e879807dc0d3631065239ccc59af86fef38172cf9f684","observation_id":"57a0303c-7fa5-4131-be70-30ccb253bc05","resolution":{"observed_at":"2026-08-07T11:02:00.233239Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.21783","last_updated":"2024-11-23T23:27:33Z","snapshot_observed_at":"2026-08-10T16:40:37.411115Z","submitted_at":"2024-07-31T17:54:27Z","title":"The Llama 3 Herd of Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.21783","snapshot_observed_at":"2026-08-07T11:02:00.252368Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.03673","last_updated":"2025-06-04T08:03:17Z","snapshot_observed_at":"2026-08-09T06:25:40.409806Z","submitted_at":"2025-06-04T08:03:17Z","title":"Reason from Future: Reverse Thought Chain Enhances LLM Reasoning","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-07T11:02:00.252368Z"},"links":{"cited_paper":"/paper/2407.21783","citing_paper":"/paper/2506.03673"},"observation_digest":"sha256:a65e64016244c7128e77fc01f19b6ec886b6893df83227c97ee8ca168ac95c68","observation_id":"beed8e17-bc40-401c-b39f-d3d193e4eb34","resolution":{"observed_at":"2026-08-07T11:02:00.252368Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2103.03874","last_updated":"2021-11-08T21:30:18Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2021-03-05T18:59:39Z","title":"Measuring Mathematical Problem Solving With the MATH Dataset","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2103.03874","snapshot_observed_at":"2026-08-07T11:02:00.290854Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.03673","last_updated":"2025-06-04T08:03:17Z","snapshot_observed_at":"2026-08-09T06:25:40.409806Z","submitted_at":"2025-06-04T08:03:17Z","title":"Reason from Future: Reverse Thought Chain Enhances LLM Reasoning","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-07T11:02:00.290854Z"},"links":{"cited_paper":"/paper/2103.03874","citing_paper":"/paper/2506.03673"},"observation_digest":"sha256:ed5f26b0c8cd228e236511475c44925670b593d4b657286cea2b338ee20324ec","observation_id":"bc929438-27f0-4add-ac79-1d00ca796142","resolution":{"observed_at":"2026-08-07T11:02:00.290854Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:02:03.512876Z","title":null,"venue":null,"work_id":"66836470-92f4-4eec-89f2-f39d82620f1c","year":2021},"citing_paper":{"arxiv_id":"2506.03673","last_updated":"2025-06-04T08:03:17Z","snapshot_observed_at":"2026-08-09T06:25:40.409806Z","submitted_at":"2025-06-04T08:03:17Z","title":"Reason from Future: Reverse Thought Chain Enhances LLM Reasoning","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-07T11:02:00.331738Z"},"links":{"citing_paper":"/paper/2506.03673"},"observation_digest":"sha256:c92a29e7aeaad535eba8fae236b9e2e0e5398df6e7f0b29048bd866968f0a77f","observation_id":"adb3f1cd-fbde-4fc3-865a-ffeb0431d18a","resolution":{"observed_at":"2026-08-07T11:02:03.576280Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1810.04805","last_updated":"2019-05-24T20:37:26Z","snapshot_observed_at":"2026-07-30T09:12:38.100527Z","submitted_at":"2018-10-11T00:50:01Z","title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1810.04805","snapshot_observed_at":"2026-08-07T11:02:00.400938Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.03673","last_updated":"2025-06-04T08:03:17Z","snapshot_observed_at":"2026-08-09T06:25:40.409806Z","submitted_at":"2025-06-04T08:03:17Z","title":"Reason from Future: Reverse Thought Chain Enhances LLM Reasoning","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-07T11:02:00.400938Z"},"links":{"cited_paper":"/paper/1810.04805","citing_paper":"/paper/2506.03673"},"observation_digest":"sha256:4661331f9cf6d3bccd9f8459a5b2b669f69ba87fb1c92d482748e89acb5606e3","observation_id":"83598855-263a-472f-bd8f-5eae0f8ce271","resolution":{"observed_at":"2026-08-07T11:02:00.400938Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:02:00.487840Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.03673","last_updated":"2025-06-04T08:03:17Z","snapshot_observed_at":"2026-08-09T06:25:40.409806Z","submitted_at":"2025-06-04T08:03:17Z","title":"Reason from Future: Reverse Thought Chain Enhances LLM Reasoning","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-07T11:02:00.487840Z"},"links":{"citing_paper":"/paper/2506.03673"},"observation_digest":"sha256:04e8bb6335782a20cadd75aa11ecb8e0cbc85302be5594fb22bc686c24273391","observation_id":"5b62cbfd-1599-45e7-8811-498e62433c08","resolution":{"observed_at":"2026-08-07T11:02:00.487840Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2007.08124","last_updated":"2020-07-16T05:52:16Z","snapshot_observed_at":"2026-08-10T13:06:17.421919Z","submitted_at":"2020-07-16T05:52:16Z","title":"LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2007.08124","snapshot_observed_at":"2026-08-07T11:02:00.557121Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.03673","last_updated":"2025-06-04T08:03:17Z","snapshot_observed_at":"2026-08-09T06:25:40.409806Z","submitted_at":"2025-06-04T08:03:17Z","title":"Reason from Future: Reverse Thought Chain Enhances LLM Reasoning","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-07T11:02:00.557121Z"},"links":{"cited_paper":"/paper/2007.08124","citing_paper":"/paper/2506.03673"},"observation_digest":"sha256:6bf572495ae28c1c7c3119491ccfbd44215dd777a49978bceae38cefecfbae3a","observation_id":"4c7ba98f-32e6-4a6f-8925-5c29c0048f34","resolution":{"observed_at":"2026-08-07T11:02:00.557121Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2106.15772","last_updated":"2021-06-30T01:54:11Z","snapshot_observed_at":"2026-08-09T19:23:06.070252Z","submitted_at":"2021-06-30T01:54:11Z","title":"A Diverse Corpus for Evaluating and Developing English Math Word Problem Solvers","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.15772","snapshot_observed_at":"2026-08-07T11:02:00.688668Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.03673","last_updated":"2025-06-04T08:03:17Z","snapshot_observed_at":"2026-08-09T06:25:40.409806Z","submitted_at":"2025-06-04T08:03:17Z","title":"Reason from Future: Reverse Thought Chain Enhances LLM Reasoning","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-07T11:02:00.688668Z"},"links":{"cited_paper":"/paper/2106.15772","citing_paper":"/paper/2506.03673"},"observation_digest":"sha256:32e6dc7abc57bf1c141c1f39f844ff249635b0e7e66485fe9995207ffb2a3532","observation_id":"83603fe5-38c3-4924-a5ad-dc52e9a5981c","resolution":{"observed_at":"2026-08-07T11:02:00.688668Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05229","last_updated":"2025-08-27T16:24:39Z","snapshot_observed_at":"2026-07-06T19:29:09.714725Z","submitted_at":"2024-10-07T17:36:37Z","title":"GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.05229","snapshot_observed_at":"2026-08-07T11:02:00.827917Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.03673","last_updated":"2025-06-04T08:03:17Z","snapshot_observed_at":"2026-08-09T06:25:40.409806Z","submitted_at":"2025-06-04T08:03:17Z","title":"Reason from Future: Reverse Thought Chain Enhances LLM Reasoning","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-07T11:02:00.827917Z"},"links":{"cited_paper":"/paper/2410.05229","citing_paper":"/paper/2506.03673"},"observation_digest":"sha256:180ef5c4690aab9119b9357345492e412baa97b5e39fb50ff31a0e48086d1758","observation_id":"02bf747d-1188-43d0-a9d7-6386ad102d83","resolution":{"observed_at":"2026-08-07T11:02:00.827917Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2103.07191","last_updated":"2021-04-15T06:11:12Z","snapshot_observed_at":"2026-08-07T13:11:17.300265Z","submitted_at":"2021-03-12T10:23:47Z","title":"Are NLP Models really able to Solve Simple Math Word Problems?","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2103.07191","snapshot_observed_at":"2026-08-07T11:02:01.137552Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.03673","last_updated":"2025-06-04T08:03:17Z","snapshot_observed_at":"2026-08-09T06:25:40.409806Z","submitted_at":"2025-06-04T08:03:17Z","title":"Reason from Future: Reverse Thought Chain Enhances LLM Reasoning","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-07T11:02:01.137552Z"},"links":{"cited_paper":"/paper/2103.07191","citing_paper":"/paper/2506.03673"},"observation_digest":"sha256:b38e94d8a280fb963948e8ec513e1274b717687df1c4ac6d09e40d86a7e8f2d4","observation_id":"b5788d25-e546-451e-abbe-ef6c7ef5e8da","resolution":{"observed_at":"2026-08-07T11:02:01.137552Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:02:01.183293Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.03673","last_updated":"2025-06-04T08:03:17Z","snapshot_observed_at":"2026-08-09T06:25:40.409806Z","submitted_at":"2025-06-04T08:03:17Z","title":"Reason from Future: Reverse Thought Chain Enhances LLM Reasoning","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-07T11:02:01.183293Z"},"links":{"citing_paper":"/paper/2506.03673"},"observation_digest":"sha256:fc0b8b3769c199e561e9783914f519a4aff0ec797c1102321b9102063ce68180","observation_id":"b9581a78-e97e-41fa-875b-c83b242a694f","resolution":{"observed_at":"2026-08-07T11:02:01.183293Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.10379","last_updated":"2024-06-02T16:01:35Z","snapshot_observed_at":"2026-08-09T23:24:23.740381Z","submitted_at":"2023-08-20T22:36:23Z","title":"Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.10379","snapshot_observed_at":"2026-08-07T11:02:01.228446Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.03673","last_updated":"2025-06-04T08:03:17Z","snapshot_observed_at":"2026-08-09T06:25:40.409806Z","submitted_at":"2025-06-04T08:03:17Z","title":"Reason from Future: Reverse Thought Chain Enhances LLM Reasoning","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-07T11:02:01.228446Z"},"links":{"cited_paper":"/paper/2308.10379","citing_paper":"/paper/2506.03673"},"observation_digest":"sha256:430d8a7e472174d530d063f1bf1053a86fafada25b0af16cc4122c767b82a716","observation_id":"ba3bfe2f-d3cb-4537-8942-6532419f9723","resolution":{"observed_at":"2026-08-07T11:02:01.228446Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.13545","last_updated":"2025-01-23T10:46:14Z","snapshot_observed_at":"2026-08-10T15:48:29.348519Z","submitted_at":"2025-01-23T10:46:14Z","title":"LLMs Can Plan Only If We Tell Them","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.13545","snapshot_observed_at":"2026-08-07T11:02:01.311063Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.03673","last_updated":"2025-06-04T08:03:17Z","snapshot_observed_at":"2026-08-09T06:25:40.409806Z","submitted_at":"2025-06-04T08:03:17Z","title":"Reason from Future: Reverse Thought Chain Enhances LLM Reasoning","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-07T11:02:01.311063Z"},"links":{"cited_paper":"/paper/2501.13545","citing_paper":"/paper/2506.03673"},"observation_digest":"sha256:183da4b1fbc28ec6572c48fd09f33e50935cc0d1d451c61a2f37b91cbcad9a6f","observation_id":"87d64018-0138-4f62-ae87-abc51341524a","resolution":{"observed_at":"2026-08-07T11:02:01.311063Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:02:03.349082Z","title":null,"venue":null,"work_id":"f2c239c1-29ac-45b1-a2de-347f97e1f464","year":2009},"citing_paper":{"arxiv_id":"2506.03673","last_updated":"2025-06-04T08:03:17Z","snapshot_observed_at":"2026-08-09T06:25:40.409806Z","submitted_at":"2025-06-04T08:03:17Z","title":"Reason from Future: Reverse Thought Chain Enhances LLM Reasoning","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-07T11:02:01.499391Z"},"links":{"citing_paper":"/paper/2506.03673"},"observation_digest":"sha256:85e6c298a9f2d777b9bc0cb50626ae0460a40599b90411ee73cd135c45f0463f","observation_id":"97838f15-b714-4468-a120-acebc51d688b","resolution":{"observed_at":"2026-08-07T11:02:03.401097Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:02:03.180586Z","title":null,"venue":null,"work_id":"0456b21e-8b7f-4d03-9a6c-3eceb1c52d5f","year":2023},"citing_paper":{"arxiv_id":"2506.03673","last_updated":"2025-06-04T08:03:17Z","snapshot_observed_at":"2026-08-09T06:25:40.409806Z","submitted_at":"2025-06-04T08:03:17Z","title":"Reason from Future: Reverse Thought Chain Enhances LLM Reasoning","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-07T11:02:01.837124Z"},"links":{"citing_paper":"/paper/2506.03673"},"observation_digest":"sha256:f7655533498fa9f35f4ec09891c0e302d7e5f06a233f8b64ffbbb61e71c6b225","observation_id":"9083ae48-e5d7-4800-9cf6-f4d20533b3a8","resolution":{"observed_at":"2026-08-07T11:02:03.264204Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1811.00937","last_updated":"2019-03-15T18:02:58Z","snapshot_observed_at":"2026-08-10T07:37:55.457401Z","submitted_at":"2018-11-02T15:34:29Z","title":"CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1811.00937","snapshot_observed_at":"2026-08-07T11:02:02.173182Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.03673","last_updated":"2025-06-04T08:03:17Z","snapshot_observed_at":"2026-08-09T06:25:40.409806Z","submitted_at":"2025-06-04T08:03:17Z","title":"Reason from Future: Reverse Thought Chain Enhances LLM Reasoning","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-07T11:02:02.173182Z"},"links":{"cited_paper":"/paper/1811.00937","citing_paper":"/paper/2506.03673"},"observation_digest":"sha256:51e7ef9da22e09676f0f2c1342f8e4c615f47204c22af8e6bec457df8d879023","observation_id":"ce1dee52-e749-4081-9035-e36a040c9c69","resolution":{"observed_at":"2026-08-07T11:02:02.173182Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.11805","last_updated":"2025-05-09T21:04:06Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-12-19T02:39:27Z","title":"Gemini: A Family of Highly Capable Multimodal Models","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.11805","snapshot_observed_at":"2026-08-07T11:02:02.217030Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.03673","last_updated":"2025-06-04T08:03:17Z","snapshot_observed_at":"2026-08-09T06:25:40.409806Z","submitted_at":"2025-06-04T08:03:17Z","title":"Reason from Future: Reverse Thought Chain Enhances LLM Reasoning","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-07T11:02:02.217030Z"},"links":{"cited_paper":"/paper/2312.11805","citing_paper":"/paper/2506.03673"},"observation_digest":"sha256:e994e8ead1d6bdc8c78264aafbc16e5e8f95c316ca6913ed844177b881fa1970","observation_id":"e8af0a02-17d0-4aff-b55c-94e39cf9baae","resolution":{"observed_at":"2026-08-07T11:02:02.217030Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2203.11171","last_updated":"2023-03-07T17:57:37Z","snapshot_observed_at":"2026-07-06T12:50:22.773056Z","submitted_at":"2022-03-21T17:48:52Z","title":"Self-Consistency Improves Chain of Thought Reasoning in Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.11171","snapshot_observed_at":"2026-08-07T11:02:02.264233Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.03673","last_updated":"2025-06-04T08:03:17Z","snapshot_observed_at":"2026-08-09T06:25:40.409806Z","submitted_at":"2025-06-04T08:03:17Z","title":"Reason from Future: Reverse Thought Chain Enhances LLM Reasoning","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-07T11:02:02.264233Z"},"links":{"cited_paper":"/paper/2203.11171","citing_paper":"/paper/2506.03673"},"observation_digest":"sha256:8cf28bf0b1bd3d352acf8836e6b90f9f34937e96af4da0b98b700f9d104c2a07","observation_id":"dfe9c7c5-2b83-4017-aeed-858fee6dc472","resolution":{"observed_at":"2026-08-07T11:02:02.264233Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:02:02.310359Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.03673","last_updated":"2025-06-04T08:03:17Z","snapshot_observed_at":"2026-08-09T06:25:40.409806Z","submitted_at":"2025-06-04T08:03:17Z","title":"Reason from Future: Reverse Thought Chain Enhances LLM Reasoning","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-07T11:02:02.310359Z"},"links":{"citing_paper":"/paper/2506.03673"},"observation_digest":"sha256:622183f08d8123fcf9c36831683dd52d6425e2b9a4d5c684b668154e7c5b1693","observation_id":"ef28479d-5248-4c5c-a97a-bb2fdb0f1e1c","resolution":{"observed_at":"2026-08-07T11:02:02.310359Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.18357","last_updated":"2024-06-11T07:41:03Z","snapshot_observed_at":"2026-07-06T18:21:26.195207Z","submitted_at":"2024-05-28T16:55:33Z","title":"Faithful Logical Reasoning via Symbolic Chain-of-Thought","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.18357","snapshot_observed_at":"2026-08-07T11:02:02.370781Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.03673","last_updated":"2025-06-04T08:03:17Z","snapshot_observed_at":"2026-08-09T06:25:40.409806Z","submitted_at":"2025-06-04T08:03:17Z","title":"Reason from Future: Reverse Thought Chain Enhances LLM Reasoning","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-07T11:02:02.370781Z"},"links":{"cited_paper":"/paper/2405.18357","citing_paper":"/paper/2506.03673"},"observation_digest":"sha256:4c357175906d88213960fb1460943a7d30cee03d4e684176e5d571395d7c4d1e","observation_id":"8c010963-5a58-41d3-b993-684c0ff479a2","resolution":{"observed_at":"2026-08-07T11:02:02.370781Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.15115","last_updated":"2025-01-03T02:18:21Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-12-19T17:56:09Z","title":"Qwen2.5 Technical Report","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.15115","snapshot_observed_at":"2026-08-07T11:02:02.436077Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.03673","last_updated":"2025-06-04T08:03:17Z","snapshot_observed_at":"2026-08-09T06:25:40.409806Z","submitted_at":"2025-06-04T08:03:17Z","title":"Reason from Future: Reverse Thought Chain Enhances LLM Reasoning","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-07T11:02:02.436077Z"},"links":{"cited_paper":"/paper/2412.15115","citing_paper":"/paper/2506.03673"},"observation_digest":"sha256:fafb00e5cbf4bdd2d634418557ca9af9738259501467236a4c9131bfa038c852","observation_id":"82f74f5d-8606-43a6-ac4f-7cda2145a8d0","resolution":{"observed_at":"2026-08-07T11:02:02.436077Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:02:02.466492Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.03673","last_updated":"2025-06-04T08:03:17Z","snapshot_observed_at":"2026-08-09T06:25:40.409806Z","submitted_at":"2025-06-04T08:03:17Z","title":"Reason from Future: Reverse Thought Chain Enhances LLM Reasoning","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-07T11:02:02.466492Z"},"links":{"citing_paper":"/paper/2506.03673"},"observation_digest":"sha256:81fcee74db189a9e12fbde236ad0719d4585eb91abe858ee5079f6b1a9125b90","observation_id":"af548e36-0ac7-4764-acb6-60161a373c86","resolution":{"observed_at":"2026-08-07T11:02:02.466492Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-07T11:02:02.534430Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.03673","last_updated":"2025-06-04T08:03:17Z","snapshot_observed_at":"2026-08-09T06:25:40.409806Z","submitted_at":"2025-06-04T08:03:17Z","title":"Reason from Future: Reverse Thought Chain Enhances LLM Reasoning","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-07T11:02:02.534430Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2506.03673"},"observation_digest":"sha256:371a62d2b43b62c7a813975305aeeb46d2f61e39728258047983bc73cb6e02b3","observation_id":"95784314-5ed3-4127-bd76-0e8a69f9faae","resolution":{"observed_at":"2026-08-07T11:02:02.534430Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.04371","last_updated":"2026-05-21T08:45:38Z","snapshot_observed_at":"2026-07-06T16:03:58.984997Z","submitted_at":"2023-08-08T16:18:20Z","title":"Cumulative Reasoning with Large Language Models","version":11},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.04371","snapshot_observed_at":"2026-08-07T11:02:02.592115Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.03673","last_updated":"2025-06-04T08:03:17Z","snapshot_observed_at":"2026-08-09T06:25:40.409806Z","submitted_at":"2025-06-04T08:03:17Z","title":"Reason from Future: Reverse Thought Chain Enhances LLM Reasoning","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-07T11:02:02.592115Z"},"links":{"cited_paper":"/paper/2308.04371","citing_paper":"/paper/2506.03673"},"observation_digest":"sha256:5ca1b5706e9de0d29f71527a7a4da68abb75e6a4e2697f5e81045e232d9eea0a","observation_id":"2ee71f24-2ff2-4bb7-bd19-aa4a8185bb92","resolution":{"observed_at":"2026-08-07T11:02:02.592115Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.09797","last_updated":"2024-10-07T04:28:04Z","snapshot_observed_at":"2026-08-06T05:02:00.041176Z","submitted_at":"2023-04-19T16:29:48Z","title":"Progressive-Hint Prompting Improves Reasoning in Large Language Models","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.09797","snapshot_observed_at":"2026-08-07T11:02:02.694151Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.03673","last_updated":"2025-06-04T08:03:17Z","snapshot_observed_at":"2026-08-09T06:25:40.409806Z","submitted_at":"2025-06-04T08:03:17Z","title":"Reason from Future: Reverse Thought Chain Enhances LLM Reasoning","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-07T11:02:02.694151Z"},"links":{"cited_paper":"/paper/2304.09797","citing_paper":"/paper/2506.03673"},"observation_digest":"sha256:4a5cdda1370ea8993b374e328cc5744801b83a00d9011443b5f20bcb5d5bdf19","observation_id":"df1a5c55-1d56-4322-ae30-cf80b355a23b","resolution":{"observed_at":"2026-08-07T11:02:02.694151Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.04406","last_updated":"2024-06-06T02:51:17Z","snapshot_observed_at":"2026-08-06T23:53:10.606737Z","submitted_at":"2023-10-06T17:55:11Z","title":"Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.04406","snapshot_observed_at":"2026-08-07T11:02:02.755601Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.03673","last_updated":"2025-06-04T08:03:17Z","snapshot_observed_at":"2026-08-09T06:25:40.409806Z","submitted_at":"2025-06-04T08:03:17Z","title":"Reason from Future: Reverse Thought Chain Enhances LLM Reasoning","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-07T11:02:02.755601Z"},"links":{"cited_paper":"/paper/2310.04406","citing_paper":"/paper/2506.03673"},"observation_digest":"sha256:b607b27eebb6269fbf7c8870289f066f070472ba5585b1c56a4dfb06f3b857b7","observation_id":"6013e2ff-c538-49f9-b077-5d054c6f704e","resolution":{"observed_at":"2026-08-07T11:02:02.755601Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2205.10625","last_updated":"2023-04-16T22:08:08Z","snapshot_observed_at":"2026-08-06T09:00:42.886249Z","submitted_at":"2022-05-21T15:34:53Z","title":"Least-to-Most Prompting Enables Complex Reasoning in Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2205.10625","snapshot_observed_at":"2026-08-07T11:02:02.843031Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.03673","last_updated":"2025-06-04T08:03:17Z","snapshot_observed_at":"2026-08-09T06:25:40.409806Z","submitted_at":"2025-06-04T08:03:17Z","title":"Reason from Future: Reverse Thought Chain Enhances LLM Reasoning","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-07T11:02:02.843031Z"},"links":{"cited_paper":"/paper/2205.10625","citing_paper":"/paper/2506.03673"},"observation_digest":"sha256:d2fc407c77bea7b4754467d2e724195be80f3d00a3e01808af1b29b0bfa1044c","observation_id":"5ab031d0-5439-449c-8215-75fafa9ec703","resolution":{"observed_at":"2026-08-07T11:02:02.843031Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2506.03673","last_updated":"2025-06-04T08:03:17Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-09T06:25:40.409806Z","submitted_at":"2025-06-04T08:03:17Z","title":"Reason from Future: Reverse Thought Chain Enhances LLM Reasoning"},"reference_resolution":{"displayed":30,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":30,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":30},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2506.03673."}