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Paper Citation Record · LEDGER

Soft Guidance Starts to Outperform CoT Prompting as LLMs Improve

As of 8 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2608.03550.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2608.03550 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T17:02:19.968492Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

22 of 22 outbound references displayed

  • verified exact0
  • verified fuzzy3
  • unresolved18
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dae44b83-c208-4f24-a9cb-c815c669ba7b · outbound

This paper cites Advances in neural information processing systems , volume=.

Soft Guidance Starts to Outperform CoT Prompting as LLMs Improve Advances in neural information processing systems , volume=

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-05T17:02:19.607582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:02:19.607582Z digest=sha256:5bd39734a2515b3ad5b4f2c355d4625c0377fea8a8ff19ed874432c9fcbe8c55

Observation a1a67a53-9e59-41b1-ac60-86a35eb639c8 · outbound

This paper cites Achieving >97% on GSM8K: Deeply Understanding the Problems Makes LLMs Better Solvers for Math Word Problems.

Soft Guidance Starts to Outperform CoT Prompting as LLMs Improve Achieving >97% on GSM8K: Deeply Understanding the Problems Makes LLMs Better Solvers for Math Word Problems

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-05T17:02:19.680880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:02:19.680880Z digest=sha256:32526abd4911ed73b63221c1d61f6420db5870a40d3b642091bfb6e1854c88ea

Observation 3221320d-c324-4749-aabc-cbcdf55d781e · outbound

This paper cites Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models.

Soft Guidance Starts to Outperform CoT Prompting as LLMs Improve Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-05T17:02:19.814349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:02:19.814349Z digest=sha256:e41ab97b5bca9a7a9744f4fc4bbd758c92ffa1e0a0be3fbc5da91bea131464fa

Observation caed5d1f-ff83-4456-838e-997bfd39d249 · outbound

This paper cites Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks.

Soft Guidance Starts to Outperform CoT Prompting as LLMs Improve Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-05T17:02:19.834684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:02:19.834684Z digest=sha256:1da914df9f2b58b5e882b3db1fbc54849a83c9884b1aac9575c85d30c797ad8c

Observation 4f4de3a5-eaed-4994-b4af-8938e3c89108 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Soft Guidance Starts to Outperform CoT Prompting as LLMs Improve Training Verifiers to Solve Math Word Problems

Reference 5

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unresolved
no resolver link, observed 2026-08-05T17:02:19.884527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:02:19.884527Z digest=sha256:fa0797de06c0db0b28fffc02dd2a4ad2e80737866798856ae92c5be53c165c6b

Observation 368ff1e9-e0cb-4afa-98dc-156dae1264b1 · outbound

This paper cites Advances in neural information processing systems , volume=.

Soft Guidance Starts to Outperform CoT Prompting as LLMs Improve Advances in neural information processing systems , volume=

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-05T17:02:19.890353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:02:19.890353Z digest=sha256:f1ac8805d50235cdad6a4aab8a276454eb4a2c9545da40d105f9e205a952bdc8

Observation 7dba256d-8c71-434a-9807-c41367957286 · outbound

This paper cites AlignedCoT: Prompting Large Language Models via Native-Speaking Demonstrations.

Soft Guidance Starts to Outperform CoT Prompting as LLMs Improve AlignedCoT: Prompting Large Language Models via Native-Speaking Demonstrations

Reference 7

Resolution
metadata mismatch
local_arxiv, observed 2026-08-05T17:02:20.256000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T17:02:19.901794Z digest=sha256:2ad7bc28a262b6d6d729fb95717bd1832459ae228ce61266c37e8bd1acbe521e

Observation fe2199e2-3754-49f5-b5cb-9687fd7b15fc · outbound

This paper cites Can LLMs Learn from Previous Mistakes? Investigating LLMs' Errors to Boost for Reasoning.

Soft Guidance Starts to Outperform CoT Prompting as LLMs Improve Can LLMs Learn from Previous Mistakes? Investigating LLMs' Errors to Boost for Reasoning

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-05T17:02:19.907012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:02:19.907012Z digest=sha256:83f32ac5931cf52ea9ae1e010274606d80da79f0e7f3a13fdd7819ce5246cc5e

Observation f92fcb52-e322-4e68-a7ce-cd055346e791 · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

Soft Guidance Starts to Outperform CoT Prompting as LLMs Improve Measuring Mathematical Problem Solving With the MATH Dataset

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-05T17:02:19.911541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:02:19.911541Z digest=sha256:a4ded7ab5c5365704ef2ceaf100ef3bef5ac051b5e4c29cd6fc9a1f8f60dc488

Observation df553d8a-1d2e-44f5-a606-aa81c49702e6 · outbound

This paper cites Qwen2.5 Technical Report.

Soft Guidance Starts to Outperform CoT Prompting as LLMs Improve Qwen2.5 Technical Report

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-05T17:02:19.916016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:02:19.916016Z digest=sha256:4e2bc5400514d058477c4843c0835423a57d61036d33cacc8484551863ff6adc

Observation 7db83e26-4656-46bd-8af6-598091389cee · outbound

This paper cites 2024 , howpublished =.

Soft Guidance Starts to Outperform CoT Prompting as LLMs Improve 2024 , howpublished =

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-05T17:02:19.920866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:02:19.920866Z digest=sha256:8bf4f4069a5ce6867867a4d22561b2e8123b0aa7c05eb24104a86420d186676b

Observation 40b8d557-0ea9-4bb7-930f-8b1664645473 · outbound

This paper cites 2024 , howpublished =.

Soft Guidance Starts to Outperform CoT Prompting as LLMs Improve 2024 , howpublished =

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-05T17:02:19.925372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:02:19.925372Z digest=sha256:4ac8a71266e4d1d3383d9d48e7666dbac949fe70d7bd837d515943a58c8d57b3

Observation 3f745c18-714c-45c4-a704-e3f248f7a4c6 · outbound

This paper cites Automatic Chain of Thought Prompting in Large Language Models.

Soft Guidance Starts to Outperform CoT Prompting as LLMs Improve Automatic Chain of Thought Prompting in Large Language Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-05T17:02:19.929652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:02:19.929652Z digest=sha256:b8e7ee2917cb1107519e853bb3d38fe2c5bd4f555e77fabf05ecd7295e605134

Observation 8d16c4a2-c911-403b-afe9-35d7da77b739 · outbound

This paper cites Proceedings of Deep Learning Inside Out (DeeLIO 2022): The 3rd workshop on knowledge extraction and integration for deep learning architectures , pages=.

Soft Guidance Starts to Outperform CoT Prompting as LLMs Improve Proceedings of Deep Learning Inside Out (DeeLIO 2022): The 3rd workshop on knowledge extraction and integration for deep learning architectures , pages=

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-05T17:02:19.934493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:02:19.934493Z digest=sha256:4b3903600e891503a4c02159daef459e95c3ebd4b6fe81c67f97bba3a1fe7994

Observation 12fda6a4-36fb-467c-8379-b9fd3d876a64 · outbound

This paper cites Proceedings of the 2022 conference of the North American chapter of the association for computational linguistics: human language technologies , pages=.

Soft Guidance Starts to Outperform CoT Prompting as LLMs Improve Proceedings of the 2022 conference of the North American chapter of the association for computational linguistics: human language technologies , pages=

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:02:20.375718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T17:02:19.938700Z digest=sha256:66a8e86380cefaf04fb03ab995ad246023bb28f990554f3d04cc6d5bb28c1623

Observation dbc32234-0613-4f73-8da9-ef08a08d34a1 · outbound

This paper cites Least-to-Most Prompting Enables Complex Reasoning in Large Language Models.

Soft Guidance Starts to Outperform CoT Prompting as LLMs Improve Least-to-Most Prompting Enables Complex Reasoning in Large Language Models

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-05T17:02:19.942892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:02:19.942892Z digest=sha256:6341a96d963aab58786daf4b4fe72e339e1a8a5729d37e8e20fa337c9f5230ab

Observation 3f0140d6-2679-46b0-a2af-e423d62d638d · outbound

This paper cites ACL , year=.

Soft Guidance Starts to Outperform CoT Prompting as LLMs Improve ACL , year=

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:02:20.359523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T17:02:19.947552Z digest=sha256:87c7cd6dcb6627517b3bb9659c07f229145138b84f7fc69223f089aa62accb65

Observation 1cc58c19-93d2-4843-8d53-692c165d2dd3 · outbound

This paper cites Complexity-Based Prompting for Multi-Step Reasoning.

Soft Guidance Starts to Outperform CoT Prompting as LLMs Improve Complexity-Based Prompting for Multi-Step Reasoning

Reference 18

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unresolved
no resolver link, observed 2026-08-05T17:02:19.951507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:02:19.951507Z digest=sha256:bc071d72b3c37bab234df36f3fa6f1e3b68cba587fa17f1de4b6d8770ed1f64c

Observation cd1c9ce4-242c-438e-9814-c4ce3a257eb6 · outbound

This paper cites International Conference on Machine Learning , pages=.

Soft Guidance Starts to Outperform CoT Prompting as LLMs Improve International Conference on Machine Learning , pages=

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:02:20.344650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T17:02:19.955911Z digest=sha256:8e4ad7d0496a49a2c19e751a0616d5abc1644733b85ccc9c89e58c0a8182fe3e

Observation c28b1129-6d97-4bd3-83c6-ecd54b0e3b54 · outbound

This paper cites Advances in neural information processing systems , volume=.

Soft Guidance Starts to Outperform CoT Prompting as LLMs Improve Advances in neural information processing systems , volume=

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-05T17:02:19.960562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:02:19.960562Z digest=sha256:c4bc3d560bd09c55363ec18f81a9a1db172468155dcc4163ef0e0281936ebf67

Observation 7ba1f97c-916a-4e97-a034-c1dcea7625e3 · outbound

This paper cites Active Prompting with Chain-of-Thought for Large Language Models.

Soft Guidance Starts to Outperform CoT Prompting as LLMs Improve Active Prompting with Chain-of-Thought for Large Language Models

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-05T17:02:19.964462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:02:19.964462Z digest=sha256:e3c9cf636247df906cdca784a531e34218eaf822406f00ade14b0771a81f4b5e

Observation 8becad23-d3de-4dfd-be07-e7102154aebd · outbound

This paper cites arXiv preprint arXiv:2506.14641 , year=.

Soft Guidance Starts to Outperform CoT Prompting as LLMs Improve arXiv preprint arXiv:2506.14641 , year=

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-05T17:02:19.968492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:02:19.968492Z digest=sha256:c9edfaab51aaf79ed53f576e6f885795d4f34fcafc01e0d8016207d92cc7cb39

Pith citing papers

No inbound Pith citation observations are available.