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Paper Citation Record · LEDGER

Soft Guidance Starts to Outperform CoT Prompting as LLMs Improve

As of 10 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 2026-08-10T06:31:04.303077+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=sha256:65908d7afe00f76d699145552fe679c08254cc9db941d6163f3b79531d9a83be

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:f505b1294e1610b13685ca18b6e8240597b51722bb4946dddb5a183221772e1e

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=sha256:86aff57a42c36e460aa7c1dea16092446df0102f5b31b8806e8ad118d20e5ed2

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=sha256:770e98a2289c9bd49615d65b54b6ae0fdc9fc5b765d05b7142154bca3395e149

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

Resolution
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=sha256:270be4ef5411596da0714a9aae932788b85eaf6a0ac9cabd121b38d4a824f6ef

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=sha256:50b00146bb5a2c127f336a6701cda36ba769b5e06610d0ab0252ef08e60a4c71

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T17:02:19.901794Z digest=sha256:29bd51f9ae29b8ebe1b71a348a99f4146a86f7cc687ea5df8a692ab63d76f975

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:f1c47148878cff34f9f4af5ea536a2302f741ffc4c0ac5c053e79b3a2de098c7

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:da680661bcad63d2f871e463cff0aa427ae11d71b34391539ff0451776144308

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=sha256:4d9c5d8f1c88681ac6b032298f6109cbad0eac435c9a078b380b9834be1b64da

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:b9281831ec50c63355e29d08095b63ce7961bc778b953b6c10f4ee8749569cde

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=sha256:7ab34dc0bd0397a9bacd7004324c17e2ea2aa4e2616a3d3eb5c466d14bfd8de5

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:c51488f8384925d1702fb38f45c3adaf9ab936bb707bfed480b50a524fe3ff23

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=sha256:51e8e6400a9fe4832b981006c6c7955f7a5a819f390281cc607095533b1b8f1b

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T17:02:19.938700Z digest=sha256:2ec9bb416f5b7325bc3c374c3d98e4888a90d5b64a12f44ab1ff5f1fab217fab

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=sha256:0eeeb9d76c6b80b80b6a0ecf68626ed3c4658dbd788398b70b49ebb6b58c6875

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T17:02:19.947552Z digest=sha256:1daa5c6c5d497fd2063f4d65f5612626dac50e774980a73e04f5e1ecf533b375

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:aa83c5a81def7a3dd6315824d33edb9a221b47f1b2fb586eccc4459f97b57e34

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T17:02:19.955911Z digest=sha256:632e05e67d729c985a5c4704fbc30a0d33332b9717a9415d4ee28caf2d6abefc

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:cdec6027bca87f34826bdfd8749840cd994ae9c8ec401ed09bad34ef22b1a322

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:ef275bb9323b63e1a6eefb446b79b40c085c480fcb27aedc1ba99af493f9c644

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:d4a3aec1a1306b8196c4aeaf434aef813c3f55c93d872a398c3ceb702f7c1cf6

Pith citing papers

No inbound Pith citation observations are available.