{"as_of":"2026-08-16T17:49:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:03842ed033e90ee780339a7a3b5983c72278e1634f4cac0e377666a3a6718745","coverage":[{"denominator":25,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":25,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T04:30:40.463461Z","state":"measured"},{"denominator":25,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":25,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+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/2506.10647/citation-record","integrity":"/paper/2506.10647/integrity","json":"/paper/2506.10647/citation-record.json","paper":"/paper/2506.10647"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:30:42.953504Z","title":"Understanding in-context learning in transformers and llms by learning to learn discrete functions","venue":null,"work_id":"4282d02e-25e0-4ed8-92b4-410e4b056aca","year":2024},"citing_paper":{"arxiv_id":"2506.10647","last_updated":"2025-06-16T11:57:29Z","snapshot_observed_at":"2026-08-14T07:01:42.961310Z","submitted_at":"2025-06-12T12:38:04Z","title":"Data Shifts Hurt CoT: A Theoretical Study","version":2},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-07T04:30:37.809212Z"},"links":{"citing_paper":"/paper/2506.10647"},"observation_digest":"sha256:73bf544f4ebe4a64313a417ed7b66a42f11bc719259d1b23761fc86181532b02","observation_id":"aafd4587-dbe5-4620-8f19-e61fc2b0ff7f","resolution":{"observed_at":"2026-08-07T04:30:43.116671Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-07T04:30:42.734520Z","title":"Learning parities with neural networks","venue":null,"work_id":"91cebb78-8d16-44f1-a21f-78d00837822f","year":2020},"citing_paper":{"arxiv_id":"2506.10647","last_updated":"2025-06-16T11:57:29Z","snapshot_observed_at":"2026-08-14T07:01:42.961310Z","submitted_at":"2025-06-12T12:38:04Z","title":"Data Shifts Hurt CoT: A Theoretical Study","version":2},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-07T04:30:37.969960Z"},"links":{"citing_paper":"/paper/2506.10647"},"observation_digest":"sha256:21ba9dde8487e3b19e95a8ece384ee63d62f26689e9aa183f41e1fcea23095ac","observation_id":"b40d84c6-d5dc-4b4f-8a83-fb692541a049","resolution":{"observed_at":"2026-08-07T04:30:42.810871Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:30:38.130340Z","title":"Chain-of-verification reduces hallucination in large language models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.10647","last_updated":"2025-06-16T11:57:29Z","snapshot_observed_at":"2026-08-14T07:01:42.961310Z","submitted_at":"2025-06-12T12:38:04Z","title":"Data Shifts Hurt CoT: A Theoretical Study","version":2},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-07T04:30:38.130340Z"},"links":{"citing_paper":"/paper/2506.10647"},"observation_digest":"sha256:c2213d4d405c0373d18843bbf225cfdf815f7ae76323b57c2846a04132fe0885","observation_id":"a418395c-1d10-4931-863e-c4e3f3731d5e","resolution":{"observed_at":"2026-08-07T04:30:38.130340Z","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":"2026-08-07T04:30:42.489623Z","title":"Position: LLM s can’t plan, but can help planning in LLM -modulo frameworks","venue":null,"work_id":"39781485-8599-4b20-9a23-a0dc1d3a2949","year":2024},"citing_paper":{"arxiv_id":"2506.10647","last_updated":"2025-06-16T11:57:29Z","snapshot_observed_at":"2026-08-14T07:01:42.961310Z","submitted_at":"2025-06-12T12:38:04Z","title":"Data Shifts Hurt CoT: A Theoretical Study","version":2},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-07T04:30:38.293852Z"},"links":{"citing_paper":"/paper/2506.10647"},"observation_digest":"sha256:30e02641ee7bfa764531ce26e2a6dba8f153d7072d256a4e6ec4fc791641dfa0","observation_id":"f62f6e36-7987-4491-bab7-9f11a2aa5f27","resolution":{"observed_at":"2026-08-07T04:30:42.587039Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-07T04:30:42.293171Z","title":"Transformers provably solve parity efficiently with chain of thought","venue":null,"work_id":"77b2e00a-bc81-4cb7-ba56-c11bbc9de209","year":2025},"citing_paper":{"arxiv_id":"2506.10647","last_updated":"2025-06-16T11:57:29Z","snapshot_observed_at":"2026-08-14T07:01:42.961310Z","submitted_at":"2025-06-12T12:38:04Z","title":"Data Shifts Hurt CoT: A Theoretical Study","version":2},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-07T04:30:38.460132Z"},"links":{"citing_paper":"/paper/2506.10647"},"observation_digest":"sha256:f47317859cdb69c94b215a3e6d4dd97caec8d362d54be757ad7d262207074d55","observation_id":"a21a101b-9af5-4952-ae6c-2dbbda166baf","resolution":{"observed_at":"2026-08-07T04:30:42.388901Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-07T04:30:42.059091Z","title":"Metastable dynamics of chain-of-thought reasoning: Provable benefits of search, rl and distillation","venue":null,"work_id":"e3c69e32-1940-4085-8070-92f0d79f8efb","year":2025},"citing_paper":{"arxiv_id":"2506.10647","last_updated":"2025-06-16T11:57:29Z","snapshot_observed_at":"2026-08-14T07:01:42.961310Z","submitted_at":"2025-06-12T12:38:04Z","title":"Data Shifts Hurt CoT: A Theoretical Study","version":2},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-07T04:30:38.615361Z"},"links":{"citing_paper":"/paper/2506.10647"},"observation_digest":"sha256:4db3627f77b70fd04de68ebf807ab5cb028d4c99c1bef3a6cd621e623380d968","observation_id":"8d792b8c-d0aa-4bb5-a2d1-256577fec3a5","resolution":{"observed_at":"2026-08-07T04:30:42.174951Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-07T04:30:41.836700Z","title":"How do nonlinear transformers acquire generalization-guaranteed cot ability? In High-dimensional Learning Dynamics 2024: The Emergence of Structure and Reasoning","venue":null,"work_id":"328f65bc-9689-4bd4-ad46-4371edbeec9e","year":2024},"citing_paper":{"arxiv_id":"2506.10647","last_updated":"2025-06-16T11:57:29Z","snapshot_observed_at":"2026-08-14T07:01:42.961310Z","submitted_at":"2025-06-12T12:38:04Z","title":"Data Shifts Hurt CoT: A Theoretical Study","version":2},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-07T04:30:38.771632Z"},"links":{"citing_paper":"/paper/2506.10647"},"observation_digest":"sha256:56b7f4566c46561a379fe887f533697d4eb0f3167c37a8b88ce49734c2027288","observation_id":"1f19ac6c-f5e5-4257-b80e-205b01aee743","resolution":{"observed_at":"2026-08-07T04:30:41.944890Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-07T04:30:41.684751Z","title":"Dissecting chain-of-thought: compositionality through in-context filtering and learning","venue":null,"work_id":"6ad59de8-189b-447b-aa3c-f90f3688b085","year":2023},"citing_paper":{"arxiv_id":"2506.10647","last_updated":"2025-06-16T11:57:29Z","snapshot_observed_at":"2026-08-14T07:01:42.961310Z","submitted_at":"2025-06-12T12:38:04Z","title":"Data Shifts Hurt CoT: A Theoretical Study","version":2},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-07T04:30:38.878960Z"},"links":{"citing_paper":"/paper/2506.10647"},"observation_digest":"sha256:f0b32d5c03b75fb9a9708e81d2bdda51ba8001b4d17bc088ebf106dce4ecce59","observation_id":"d75e3d24-3df8-4468-8adc-090eb47f8b5e","resolution":{"observed_at":"2026-08-07T04:30:41.770941Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-07T04:30:41.507203Z","title":"Chain of thought empowers transformers to solve inherently serial problems","venue":null,"work_id":"53cf4947-180d-49a7-b557-007281480c57","year":2024},"citing_paper":{"arxiv_id":"2506.10647","last_updated":"2025-06-16T11:57:29Z","snapshot_observed_at":"2026-08-14T07:01:42.961310Z","submitted_at":"2025-06-12T12:38:04Z","title":"Data Shifts Hurt CoT: A Theoretical Study","version":2},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-07T04:30:39.049205Z"},"links":{"citing_paper":"/paper/2506.10647"},"observation_digest":"sha256:c8528b8c95ab90421e6f1ba5cb80bd4fe4999390da2abd69f765edfdebaa6170","observation_id":"6d391b5d-3973-4a7e-a1d8-ebe55a2df34e","resolution":{"observed_at":"2026-08-07T04:30:41.588162Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:30:39.164430Z","title":"Let's verify step by step","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.10647","last_updated":"2025-06-16T11:57:29Z","snapshot_observed_at":"2026-08-14T07:01:42.961310Z","submitted_at":"2025-06-12T12:38:04Z","title":"Data Shifts Hurt CoT: A Theoretical Study","version":2},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-07T04:30:39.164430Z"},"links":{"citing_paper":"/paper/2506.10647"},"observation_digest":"sha256:246954bbd629bc462f7dcdb4163dbc758574192c86a9e5650a9bd68a2b7a247b","observation_id":"41d2fb67-0f89-4930-b724-28d3bf2a6c00","resolution":{"observed_at":"2026-08-07T04:30:39.164430Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.21333","last_updated":"2025-06-13T19:10:02Z","snapshot_observed_at":"2026-08-16T13:05:35.873379Z","submitted_at":"2024-10-27T18:30:41Z","title":"Mind Your Step (by Step): Chain-of-Thought can Reduce Performance on Tasks where Thinking Makes Humans Worse","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.21333","snapshot_observed_at":"2026-08-07T04:30:39.274909Z","title":"Mind your step (by step): Chain-of-thought can reduce performance on tasks where thinking makes humans worse","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.10647","last_updated":"2025-06-16T11:57:29Z","snapshot_observed_at":"2026-08-14T07:01:42.961310Z","submitted_at":"2025-06-12T12:38:04Z","title":"Data Shifts Hurt CoT: A Theoretical Study","version":2},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-07T04:30:39.274909Z"},"links":{"cited_paper":"/paper/2410.21333","citing_paper":"/paper/2506.10647"},"observation_digest":"sha256:155c30ddf1c756ebfeb0e2e7f1501f14a897a716656b10966b1349a452202ab7","observation_id":"5de6ad31-e6c1-478f-9106-a9a10891292e","resolution":{"observed_at":"2026-08-07T04:30:39.274909Z","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":"2026-08-07T04:30:39.377565Z","title":"The parallelism tradeoff: Limitations of log-precision transformers","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.10647","last_updated":"2025-06-16T11:57:29Z","snapshot_observed_at":"2026-08-14T07:01:42.961310Z","submitted_at":"2025-06-12T12:38:04Z","title":"Data Shifts Hurt CoT: A Theoretical Study","version":2},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-07T04:30:39.377565Z"},"links":{"citing_paper":"/paper/2506.10647"},"observation_digest":"sha256:e3c6c549e0407444ea41a54ea250bbcd401d2e2507249fe1e7d2c08c48db138a","observation_id":"3561ee28-d681-418f-8f4b-438023a5cd44","resolution":{"observed_at":"2026-08-07T04:30:39.377565Z","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":"2026-08-07T04:30:39.439453Z","title":"The expressive power of transformers with chain of thought","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.10647","last_updated":"2025-06-16T11:57:29Z","snapshot_observed_at":"2026-08-14T07:01:42.961310Z","submitted_at":"2025-06-12T12:38:04Z","title":"Data Shifts Hurt CoT: A Theoretical Study","version":2},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-07T04:30:39.439453Z"},"links":{"citing_paper":"/paper/2506.10647"},"observation_digest":"sha256:0b98e6079e73fc5cb04be5aff20a006daf84c5de0993d50d3ab7bbdc65362c1e","observation_id":"56249c55-a9c8-47ce-bbe4-26d50339e90a","resolution":{"observed_at":"2026-08-07T04:30:39.439453Z","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":"2026-08-07T04:30:39.507938Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.10647","last_updated":"2025-06-16T11:57:29Z","snapshot_observed_at":"2026-08-14T07:01:42.961310Z","submitted_at":"2025-06-12T12:38:04Z","title":"Data Shifts Hurt CoT: A Theoretical Study","version":2},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-07T04:30:39.507938Z"},"links":{"citing_paper":"/paper/2506.10647"},"observation_digest":"sha256:e15be0a288fb7e5f0b04c50c9d4954116c33513a006ac0d4ee8a5512ad404599","observation_id":"976e93bb-5612-4b43-a9bf-df9eef1b2c0d","resolution":{"observed_at":"2026-08-07T04:30:39.507938Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2112.00114","last_updated":"2021-11-30T21:32:46Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2021-11-30T21:32:46Z","title":"Show Your Work: Scratchpads for Intermediate Computation with Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2112.00114","snapshot_observed_at":"2026-08-07T04:30:39.575136Z","title":"Show your work: Scratchpads for intermediate computation with language models, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.10647","last_updated":"2025-06-16T11:57:29Z","snapshot_observed_at":"2026-08-14T07:01:42.961310Z","submitted_at":"2025-06-12T12:38:04Z","title":"Data Shifts Hurt CoT: A Theoretical Study","version":2},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-07T04:30:39.575136Z"},"links":{"cited_paper":"/paper/2112.00114","citing_paper":"/paper/2506.10647"},"observation_digest":"sha256:5314b000d3fb7b891f899f066df23a383517f659ea4651addcb7987de22ed951","observation_id":"263f0ee9-4e27-4359-aabe-fa9e4e29b8b4","resolution":{"observed_at":"2026-08-07T04:30:39.575136Z","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":"2026-08-07T04:30:39.648779Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.10647","last_updated":"2025-06-16T11:57:29Z","snapshot_observed_at":"2026-08-14T07:01:42.961310Z","submitted_at":"2025-06-12T12:38:04Z","title":"Data Shifts Hurt CoT: A Theoretical Study","version":2},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-07T04:30:39.648779Z"},"links":{"citing_paper":"/paper/2506.10647"},"observation_digest":"sha256:fb0d6582c29aa8e437ff9e3f2953a8dac171f866d1811eac6f3cb31472ffe949","observation_id":"6d4574ba-7624-4654-9f0f-1d422e41b03d","resolution":{"observed_at":"2026-08-07T04:30:39.648779Z","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":"2026-08-07T04:30:39.725656Z","title":"Memory injections: Correcting multi-hop reasoning failures during inference in transformer-based language models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.10647","last_updated":"2025-06-16T11:57:29Z","snapshot_observed_at":"2026-08-14T07:01:42.961310Z","submitted_at":"2025-06-12T12:38:04Z","title":"Data Shifts Hurt CoT: A Theoretical Study","version":2},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-07T04:30:39.725656Z"},"links":{"citing_paper":"/paper/2506.10647"},"observation_digest":"sha256:fc1b25cdbb4ead010e0d8f7c77784b8d04e1d0fd0ada633dba6bdab5648e8238","observation_id":"1f83d30f-d98d-4793-8b0a-9019f9118b2b","resolution":{"observed_at":"2026-08-07T04:30:39.725656Z","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":"2026-08-07T04:30:39.820725Z","title":"On second thought, let`s not think step by step! bias and toxicity in zero-shot reasoning","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.10647","last_updated":"2025-06-16T11:57:29Z","snapshot_observed_at":"2026-08-14T07:01:42.961310Z","submitted_at":"2025-06-12T12:38:04Z","title":"Data Shifts Hurt CoT: A Theoretical Study","version":2},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-07T04:30:39.820725Z"},"links":{"citing_paper":"/paper/2506.10647"},"observation_digest":"sha256:cb652dbd0a43f980298bfece8118f212a0f88cfb083e2b335b647847438cc9d9","observation_id":"42755d08-7290-4760-b0d2-5f87f2636d26","resolution":{"observed_at":"2026-08-07T04:30:39.820725Z","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":"2026-08-07T04:30:41.277305Z","title":"Failures of gradient-based deep learning","venue":null,"work_id":"54e3f159-d142-48bd-ac88-72ff65fac7be","year":2017},"citing_paper":{"arxiv_id":"2506.10647","last_updated":"2025-06-16T11:57:29Z","snapshot_observed_at":"2026-08-14T07:01:42.961310Z","submitted_at":"2025-06-12T12:38:04Z","title":"Data Shifts Hurt CoT: A Theoretical Study","version":2},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-07T04:30:39.936033Z"},"links":{"citing_paper":"/paper/2506.10647"},"observation_digest":"sha256:76b7b1bb095acd45fa749f375732d92a1f9725b71bcfbb0a958983400e4d274e","observation_id":"02dee4b5-89c1-4e1d-ba72-a18590ca6bef","resolution":{"observed_at":"2026-08-07T04:30:41.365840Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-07T04:30:41.095246Z","title":"Distribution-specific hardness of learning neural networks","venue":null,"work_id":"929bb672-be38-4f96-8d4c-b9d4d04bddff","year":2018},"citing_paper":{"arxiv_id":"2506.10647","last_updated":"2025-06-16T11:57:29Z","snapshot_observed_at":"2026-08-14T07:01:42.961310Z","submitted_at":"2025-06-12T12:38:04Z","title":"Data Shifts Hurt CoT: A Theoretical Study","version":2},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-07T04:30:40.032606Z"},"links":{"citing_paper":"/paper/2506.10647"},"observation_digest":"sha256:27c84efb1fb666fb71cad0402e5adf934a44eba31c14c1deca39b35cfbffa02a","observation_id":"8df90055-d07f-4664-8604-68954594643d","resolution":{"observed_at":"2026-08-07T04:30:41.178849Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-07T04:30:40.929135Z","title":"To cot or not to cot? chain-of-thought helps mainly on math and symbolic reasoning","venue":null,"work_id":"5cb84f7e-0aed-40b6-b752-494701833b95","year":2025},"citing_paper":{"arxiv_id":"2506.10647","last_updated":"2025-06-16T11:57:29Z","snapshot_observed_at":"2026-08-14T07:01:42.961310Z","submitted_at":"2025-06-12T12:38:04Z","title":"Data Shifts Hurt CoT: A Theoretical Study","version":2},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-07T04:30:40.124954Z"},"links":{"citing_paper":"/paper/2506.10647"},"observation_digest":"sha256:8966915fcc0f7762946c7567fc23d3574073be70c74b4efc33bbd5262bc3d5a8","observation_id":"fbbe4b16-42de-4525-b148-3f6d65a97c85","resolution":{"observed_at":"2026-08-07T04:30:40.993532Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:30:40.208728Z","title":"Gomez, ukasz Kaiser, and Illia Polosukhin","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.10647","last_updated":"2025-06-16T11:57:29Z","snapshot_observed_at":"2026-08-14T07:01:42.961310Z","submitted_at":"2025-06-12T12:38:04Z","title":"Data Shifts Hurt CoT: A Theoretical Study","version":2},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-07T04:30:40.208728Z"},"links":{"citing_paper":"/paper/2506.10647"},"observation_digest":"sha256:0db22f2122b832eeb4ea6fcc34bc42758f61a6b3e6007c77299b7f79c233d18a","observation_id":"c8b0562d-3aa0-446c-9005-52be953ca177","resolution":{"observed_at":"2026-08-07T04:30:40.208728Z","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":"2026-08-07T04:30:40.300207Z","title":"Chi, Quoc V","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.10647","last_updated":"2025-06-16T11:57:29Z","snapshot_observed_at":"2026-08-14T07:01:42.961310Z","submitted_at":"2025-06-12T12:38:04Z","title":"Data Shifts Hurt CoT: A Theoretical Study","version":2},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-07T04:30:40.300207Z"},"links":{"citing_paper":"/paper/2506.10647"},"observation_digest":"sha256:8cc445da6037425e444763fd134164ed7bc5afc7f261ddbb94538fd2bfd62c84","observation_id":"28c9085b-3a96-454d-adc9-94f38ecf446c","resolution":{"observed_at":"2026-08-07T04:30:40.300207Z","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":"2026-08-07T04:30:40.668366Z","title":"Sub-task decomposition enables learning in sequence to sequence tasks","venue":null,"work_id":"791e4573-c1b6-44f6-ab40-94a3be8ad6be","year":2023},"citing_paper":{"arxiv_id":"2506.10647","last_updated":"2025-06-16T11:57:29Z","snapshot_observed_at":"2026-08-14T07:01:42.961310Z","submitted_at":"2025-06-12T12:38:04Z","title":"Data Shifts Hurt CoT: A Theoretical Study","version":2},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-07T04:30:40.366801Z"},"links":{"citing_paper":"/paper/2506.10647"},"observation_digest":"sha256:57d27483a135dcddd5127c26ac96fc03a7e320731dca772155d30089dc84cfba","observation_id":"1bc6ee44-ac0d-47a8-8105-beee2c82deb7","resolution":{"observed_at":"2026-08-07T04:30:40.783900Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:30:40.463461Z","title":"Star: Bootstrapping reasoning with reasoning","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.10647","last_updated":"2025-06-16T11:57:29Z","snapshot_observed_at":"2026-08-14T07:01:42.961310Z","submitted_at":"2025-06-12T12:38:04Z","title":"Data Shifts Hurt CoT: A Theoretical Study","version":2},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-07T04:30:40.463461Z"},"links":{"citing_paper":"/paper/2506.10647"},"observation_digest":"sha256:21c534930196fd0264b7838b1d419b8c154e432e1402df6a6674992112ad2f5b","observation_id":"c8e4c96b-75d2-47a8-b2f0-524c63d3aa47","resolution":{"observed_at":"2026-08-07T04:30:40.463461Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2506.10647","last_updated":"2025-06-16T11:57:29Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-14T07:01:42.961310Z","submitted_at":"2025-06-12T12:38:04Z","title":"Data Shifts Hurt CoT: A Theoretical Study"},"reference_resolution":{"displayed":25,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":13,"verified_exact":0,"verified_fuzzy":12},"total_outbound_references":25},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2506.10647."}