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Paper Citation Record · LEDGER

Thinking Isn't an Illusion: Overcoming the Limitations of Reasoning Models via Tool Augmentations

As of 18 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 5 inbound Pith citation observations for arXiv:2507.17699.

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

pith.paper-citation-record.v1
2507.17699 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:20:59.497621Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:51:47.056831Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T06:23:08.695762Z

Reference resolution

17 of 17 outbound references displayed

  • verified exact0
  • verified fuzzy3
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation db48c836-0a1e-4360-93d1-075c7479a311 · outbound

This paper cites GPT-4 Technical Report.

Thinking Isn't an Illusion: Overcoming the Limitations of Reasoning Models via Tool Augmentations GPT-4 Technical Report

Reference 1

Resolution
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no resolver link, observed 2026-08-15T18:20:59.426562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:20:59.426562Z digest=sha256:c6c49e9e208464f3103cfff4f942c19be152bd54bc31a50c7c60fa105189e8a1

Observation 3ae18700-d1ec-4841-9adb-edaec89992f0 · outbound

This paper cites Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs.

Thinking Isn't an Illusion: Overcoming the Limitations of Reasoning Models via Tool Augmentations Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs

Reference 4

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no resolver link, observed 2026-08-15T18:20:59.441803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:20:59.441803Z digest=sha256:62dccce671eaebc769c493e6813b989824ed9fe49a175d4067ccbff77cebec89

Observation 59686907-0736-4e48-8551-b6a6f1db2d62 · outbound

This paper cites DeepSeek-V3 Technical Report.

Thinking Isn't an Illusion: Overcoming the Limitations of Reasoning Models via Tool Augmentations DeepSeek-V3 Technical Report

Reference 7

Resolution
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no resolver link, observed 2026-08-15T18:20:59.455203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:20:59.455203Z digest=sha256:a478f864d4b04b1874f61d274f69208f9d764772bf751aaae9eac43aabeae2cd

Observation 0f4e7dcf-2c7d-4e7e-aa2a-2a3989bf4133 · outbound

This paper cites Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling.

Thinking Isn't an Illusion: Overcoming the Limitations of Reasoning Models via Tool Augmentations Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling

Reference 8

Resolution
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no resolver link, observed 2026-08-15T18:20:59.459727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:20:59.459727Z digest=sha256:198ea6558abc88cb0e47532af9de706b71ef72deb45bf1df49c52bcb763e20a0

Observation 3ab1fb38-c904-4c84-8adc-82ae73cd8483 · outbound

This paper cites The Llama 3 Herd of Models.

Thinking Isn't an Illusion: Overcoming the Limitations of Reasoning Models via Tool Augmentations The Llama 3 Herd of Models

Reference 9

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no resolver link, observed 2026-08-15T18:20:59.463966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:20:59.463966Z digest=sha256:dc73571a18b7280da2d18a8ea3941b1b944d64a3a94dc986fe980bfad560ba64

Observation ee70c287-7ba5-4b01-a211-8928d81f5e9e · outbound

This paper cites MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training.

Thinking Isn't an Illusion: Overcoming the Limitations of Reasoning Models via Tool Augmentations MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-15T18:20:59.468686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:20:59.468686Z digest=sha256:06d6730282b7863ef1e334ec680c188ba2d2240a0139c67f45ea114749684208

Observation cb06237c-ec31-4f7a-bc09-891e09663391 · outbound

This paper cites WebGPT: Browser-assisted question-answering with human feedback.

Thinking Isn't an Illusion: Overcoming the Limitations of Reasoning Models via Tool Augmentations WebGPT: Browser-assisted question-answering with human feedback

Reference 11

Resolution
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no resolver link, observed 2026-08-15T18:20:59.472776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:20:59.472776Z digest=sha256:febf81d39c2207e4032504ea7a087f611a6e8312d24e4fc206c9a31c1ae0cb69

Observation 0019a46a-1f33-404e-8573-d4bd25d258ca · outbound

This paper cites Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models.

Thinking Isn't an Illusion: Overcoming the Limitations of Reasoning Models via Tool Augmentations Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-15T18:20:59.476963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:20:59.476963Z digest=sha256:b96a2447d6e0030e0ec65089e8b406d4641b16cb3b7a7423fe72d8c639977807

Observation 01abf7ae-6be0-4cf3-a640-f9e35f4fb7d2 · outbound

This paper cites The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity.

Thinking Isn't an Illusion: Overcoming the Limitations of Reasoning Models via Tool Augmentations The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity

Reference 13

Resolution
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no resolver link, observed 2026-08-15T18:20:59.480881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:20:59.480881Z digest=sha256:3169e6f70de8ba69a9eb7f0aa4703833759c2bf5041eeff0e13cd5e5ac67a168

Observation 1b0ac02e-4143-4802-bf26-add50bdf4124 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Thinking Isn't an Illusion: Overcoming the Limitations of Reasoning Models via Tool Augmentations DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 14

Resolution
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no resolver link, observed 2026-08-15T18:20:59.484955Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:20:59.484955Z digest=sha256:da011631e506d5fd99bf32a11cc4c4611cd1f44797a1588e18ea722a078a7c36

Observation e4a9e8ec-4843-4d7b-bec9-53cea0f95d12 · outbound

This paper cites BlenderBot 3: a deployed conversational agent that continually learns to responsibly engage.

Thinking Isn't an Illusion: Overcoming the Limitations of Reasoning Models via Tool Augmentations BlenderBot 3: a deployed conversational agent that continually learns to responsibly engage

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-15T18:20:59.489296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:20:59.489296Z digest=sha256:825d011b148ab10e3d1fe2f5c0f2adf9c59fc0f8a562f8407eb45c29e58b4906

Observation 42cb025a-41df-4852-993c-5989ea75b953 · outbound

This paper cites Qwen3 Technical Report.

Thinking Isn't an Illusion: Overcoming the Limitations of Reasoning Models via Tool Augmentations Qwen3 Technical Report

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-15T18:20:59.497621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:20:59.497621Z digest=sha256:da18f17f6fc60cac0354ff80b85cce8d7dbd5fd8e1162d1fcd0ad366d12e5193

Observation 9090d305-8c61-4bce-a862-75ab7a83df89 · outbound

This paper cites Language models as compilers: Simulating pseudocode execution improves al- gorithmic reasoning in language models.

Thinking Isn't an Illusion: Overcoming the Limitations of Reasoning Models via Tool Augmentations Language models as compilers: Simulating pseudocode execution improves al- gorithmic reasoning in language models

Reference 2020

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:20:59.712384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:20:59.436206Z digest=sha256:8e9435761b70c98fea2fc8e42bc5ca71d426339a0285b81c1cde89cda1e6e457

Observation 64a28e04-fecd-42fd-a08b-b2ba5f4599e2 · outbound

This paper cites LaMDA: Language Models for Dialog Applications.

Thinking Isn't an Illusion: Overcoming the Limitations of Reasoning Models via Tool Augmentations LaMDA: Language Models for Dialog Applications

Reference 2022

Resolution
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no resolver link, observed 2026-08-15T18:20:59.493463Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:20:59.493463Z digest=sha256:12cb5eed13ed3f8b0dd290204a48e4db73f616604e6ea160c80929bf6fac811f

Observation 852fd6dd-5529-4f93-9455-21002a584b96 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Thinking Isn't an Illusion: Overcoming the Limitations of Reasoning Models via Tool Augmentations DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 2023

Resolution
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no resolver link, observed 2026-08-15T18:20:59.446876Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:20:59.446876Z digest=sha256:dde533a2d616eaa97581ca7dd23737d1e7d669898a751f3779f1c99a4896e126

Observation bf1b0ec3-8459-4f36-b0f2-11505524b9c2 · outbound

This paper cites Language models are few-shot learners.

Thinking Isn't an Illusion: Overcoming the Limitations of Reasoning Models via Tool Augmentations Language models are few-shot learners

Reference 2024

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:20:59.724814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:20:59.431809Z digest=sha256:3da7f0206dd077be2a875f57bbd3b827160301112fa2a764b20b3325808ec9f6

Observation 373fac83-dbb6-4b9e-8a44-607f66ee9b73 · outbound

This paper cites Towards mitigating llm hallucination via self reflection.

Thinking Isn't an Illusion: Overcoming the Limitations of Reasoning Models via Tool Augmentations Towards mitigating llm hallucination via self reflection

Reference 2025

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:20:59.698123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:20:59.451176Z digest=sha256:3176ae5de56f7f7c2e1e3ad51730751642baed105722463c2489a7fcd5115682

Pith citing papers

Observation 6bb44a55-f092-424d-82ec-8d6e00c6afd2 · inbound

Entropy-Guided Loop: Achieving Reasoning through Uncertainty-Aware Generation cites this paper.

Entropy-Guided Loop: Achieving Reasoning through Uncertainty-Aware Generation Thinking Isn't an Illusion: Overcoming the Limitations of Reasoning Models via Tool Augmentations

Reference 16

Resolution
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no resolver link, observed 2026-08-05T15:51:47.056831Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:51:47.056831Z digest=sha256:88c7b2174dbbb4bef6809edc5f30e54e03f476f6456960cd1a4525c52571df6a

Observation e96ea047-6a3c-4351-8d3f-fd00e8f917ae · inbound

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey cites this paper.

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey Thinking Isn't an Illusion: Overcoming the Limitations of Reasoning Models via Tool Augmentations

Reference 117

Resolution
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arxiv_id, observed 2026-05-18T19:21:48.019670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-18T19:19:36.427337Z digest=sha256:bb802b49d66b5707caa20dc9e559ccf7806a2f4fad63ea4d629862351ef472ad

Observation b30ffef0-178f-44b6-a12c-7d1714ac2bba · inbound

OPT-Engine: Benchmarking the Limits of LLMs in Optimization Modeling via Complexity Scaling cites this paper.

OPT-Engine: Benchmarking the Limits of LLMs in Optimization Modeling via Complexity Scaling Thinking Isn't an Illusion: Overcoming the Limitations of Reasoning Models via Tool Augmentations

Reference 31

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arxiv_id, observed 2026-05-16T16:18:05.342519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-16T16:17:43.055124Z digest=sha256:2c81f1fbdddbe587c45ef558311a5adf779361891063d3e5e7b2aa01b79f2c7a

Observation c44a978b-2587-4261-ade9-ccc2d20d6ca9 · inbound

Statistical Guarantees for Reasoning Probes on Looped Boolean Circuits cites this paper.

Statistical Guarantees for Reasoning Probes on Looped Boolean Circuits Thinking Isn't an Illusion: Overcoming the Limitations of Reasoning Models via Tool Augmentations

Reference 65

Resolution
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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:01:01.592201Z digest=sha256:a79f79bed925c3993117f5dfefc24374f1dfca1a4b5a950930b94117b1719622

Observation 6310a2b6-1777-4167-88af-fa3c28e7e823 · inbound

REPOT: Recoverable Program-of-Thought via Checkpoint Repair cites this paper.

REPOT: Recoverable Program-of-Thought via Checkpoint Repair Thinking Isn't an Illusion: Overcoming the Limitations of Reasoning Models via Tool Augmentations

Reference 19

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verified exact
arxiv_id, observed 2026-06-29T06:23:08.697819Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-06-29T06:22:46.440678Z digest=sha256:012db362846e1097e342ef01bd46c8d70b1a20e5bed0ae7e360aac4135b7eeca