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Paper Citation Record · LEDGER

Implicit Reasoning in Large Language Models: A Comprehensive Survey

As of 19 August 2026, this Paper Citation Record lists 90 of 90 outbound references and 16 inbound Pith citation observations for arXiv:2509.02350.

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

pith.paper-citation-record.v1
2509.02350 v1

Coverage vector

measured 90 of 90 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T11:39:36.851125Z

measured 106 of 106 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 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T04:22:10.213699Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

90 of 90 outbound references displayed

  • verified exact1
  • verified fuzzy9
  • unresolved80
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 96b76d58-9815-441f-a880-ac1858404325 · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

Implicit Reasoning in Large Language Models: A Comprehensive Survey Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 1

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source=pdf_text observed=2026-08-05T11:39:36.412170Z digest=sha256:fd55b932c0bcdab44c53a72c76adea6f6c47568baa8285d11884fbd3cc8ab134

Observation 9598af56-7e2a-4d38-8d6a-fb4ac4bde07a · outbound

This paper cites an unresolved cited work.

Implicit Reasoning in Large Language Models: A Comprehensive Survey Unresolved cited work

Reference 6

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source=pdf_text observed=2026-08-05T11:39:36.439120Z digest=sha256:94562f75fda16f0ae05b188c34a9778eec9ce058357d1239140172a9bae5e586

Observation 807935f3-e343-40eb-a9da-3cacc44d1632 · outbound

This paper cites One Billion Word Benchmark for Measuring Progress in Statistical Language Modeling.

Implicit Reasoning in Large Language Models: A Comprehensive Survey One Billion Word Benchmark for Measuring Progress in Statistical Language Modeling

Reference 9

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source=pdf_text observed=2026-08-05T11:39:36.454438Z digest=sha256:bea0a6f89442011c90e7f6824c082cf97e4598d37d46a6ea7633fbc2d8af6d65

Observation c09a52cd-4b2b-4fe6-be69-63126862ce79 · outbound

This paper cites Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models.

Implicit Reasoning in Large Language Models: A Comprehensive Survey Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models

Reference 11

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source=pdf_text observed=2026-08-05T11:39:36.464742Z digest=sha256:714befef0f2a6157fe60511ed6ac213248e427c25c9bae7828f0f4cd43513cf0

Observation c9dada89-9e33-496f-9961-ea29f8970a68 · outbound

This paper cites Quac: Question answering in context.

Implicit Reasoning in Large Language Models: A Comprehensive Survey Quac: Question answering in context

Reference 13

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source=pdf_text observed=2026-08-05T11:39:36.475484Z digest=sha256:c32318c411bf8ea7f467b4fad28193ca2f1958aacc0517a2b286849be99eccb8

Observation 17280a09-90a3-47c7-b5e3-9f1be5095b10 · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

Implicit Reasoning in Large Language Models: A Comprehensive Survey Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 14

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source=pdf_text observed=2026-08-05T11:39:36.479802Z digest=sha256:6f95a4d607d1689fee401d8f00c493d60fea2ace0761a8ea5c863888168cfc3d

Observation 3bfd4b90-3d2d-40d2-81ed-02c1b19dd021 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Implicit Reasoning in Large Language Models: A Comprehensive Survey Training Verifiers to Solve Math Word Problems

Reference 15

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source=pdf_text observed=2026-08-05T11:39:36.485101Z digest=sha256:8cc5c40d9b2cfaf1e7642fd38441e3c7b968a6eb0447a0f8884ac89a4f985578

Observation 763a6bd4-53f6-4d6c-bc9a-74d45904bb3a · outbound

This paper cites OpenAI o1 System Card.

Implicit Reasoning in Large Language Models: A Comprehensive Survey OpenAI o1 System Card

Reference 16

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source=pdf_text observed=2026-08-05T11:39:36.489787Z digest=sha256:7a72bcffbe65ee194fcdc5a5a4f6c0023631a73a4f7bfd5b8673dc4036f97797

Observation e02fef43-a545-4d91-b04e-a3308a346844 · outbound

This paper cites Russell Cooper and Andrew A John.Macroeconomics: Theory through applications.

Implicit Reasoning in Large Language Models: A Comprehensive Survey Russell Cooper and Andrew A John.Macroeconomics: Theory through applications

Reference 17

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source=pdf_text observed=2026-08-05T11:39:36.495151Z digest=sha256:c91297050c1b82e19ad2344715d013ad1988ce5802f06a92ff36f756db90e61a

Observation 984d0278-2c30-4b3c-914e-102a4b7b8adc · outbound

This paper cites Sparse Autoencoders Find Highly Interpretable Features in Language Models.

Implicit Reasoning in Large Language Models: A Comprehensive Survey Sparse Autoencoders Find Highly Interpretable Features in Language Models

Reference 18

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source=pdf_text observed=2026-08-05T11:39:36.499521Z digest=sha256:70788f57c1facd0bdf7071135cf65f2ebb8c3ec1aa743753321880250e0ee39a

Observation ef43ff2a-27f2-4482-9f90-16ab584a7124 · outbound

This paper cites Implicit Chain of Thought Reasoning via Knowledge Distillation.

Implicit Reasoning in Large Language Models: A Comprehensive Survey Implicit Chain of Thought Reasoning via Knowledge Distillation

Reference 19

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source=pdf_text observed=2026-08-05T11:39:36.504316Z digest=sha256:21afd47c3ffa8c70ebfa3b8ac01a6e317cf64bcf8ab85e1a4ea093d0b138d180

Observation fdef445c-b3a5-4953-84e7-4552c08ec79e · outbound

This paper cites From Explicit CoT to Implicit CoT: Learning to Internalize CoT Step by Step.

Implicit Reasoning in Large Language Models: A Comprehensive Survey From Explicit CoT to Implicit CoT: Learning to Internalize CoT Step by Step

Reference 20

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source=pdf_text observed=2026-08-05T11:39:36.510005Z digest=sha256:d7146ac8fc748dd464da32573a80e325230cde152eb92372e2b6c36fb4b81304

Observation 31c5e5b6-ca5c-40ac-84d7-1aeda2282192 · outbound

This paper cites Drop: A reading comprehension benchmark requiring discrete reasoning over paragraphs.

Implicit Reasoning in Large Language Models: A Comprehensive Survey Drop: A reading comprehension benchmark requiring discrete reasoning over paragraphs

Reference 21

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source=pdf_text observed=2026-08-05T11:39:36.515642Z digest=sha256:10765151061f9e0965835722a689acf50312a1f9b84f5b9d8ccd382d558acece

Observation c8e735fd-52c7-4dec-bebb-7c33af633766 · outbound

This paper cites When Chain of Thought is Necessary, Language Models Struggle to Evade Monitors.

Implicit Reasoning in Large Language Models: A Comprehensive Survey When Chain of Thought is Necessary, Language Models Struggle to Evade Monitors

Reference 22

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source=pdf_text observed=2026-08-05T11:39:36.521013Z digest=sha256:f71f49fb980dfe1331b7f08fb8dbba73b8495b8049dad2ae0996f502938f2e28

Observation c1f49abb-7da4-47c4-8008-68286d13377b · outbound

This paper cites Thinkless: LLM Learns When to Think.

Implicit Reasoning in Large Language Models: A Comprehensive Survey Thinkless: LLM Learns When to Think

Reference 23

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source=pdf_text observed=2026-08-05T11:39:36.526564Z digest=sha256:cae4cfbc0603489fe900c10e8b786d26ceca18c2eda3944b08fbabe8a0e58575

Observation 60948be0-0ddf-4f03-baec-834c76fbca01 · outbound

This paper cites The Pile: An 800GB Dataset of Diverse Text for Language Modeling.

Implicit Reasoning in Large Language Models: A Comprehensive Survey The Pile: An 800GB Dataset of Diverse Text for Language Modeling

Reference 24

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source=pdf_text observed=2026-08-05T11:39:36.532118Z digest=sha256:63715436bbc740fbe135bdb6cedd95bb21eb7cc185550176dfa0c247eb1f0869

Observation 29fee6bf-f3f0-4051-ab48-21f69aca2e83 · outbound

This paper cites Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach.

Implicit Reasoning in Large Language Models: A Comprehensive Survey Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach

Reference 25

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source=pdf_text observed=2026-08-05T11:39:36.536974Z digest=sha256:8106878c55743affbbae70ffbb74935a2939776a8c86f85edeb2e64b67d0a608

Observation 5feae8a6-3287-403c-86f5-ad5202bdaf18 · outbound

This paper cites Latent Preference Coding: Aligning Large Language Models via Discrete Latent Codes.

Implicit Reasoning in Large Language Models: A Comprehensive Survey Latent Preference Coding: Aligning Large Language Models via Discrete Latent Codes

Reference 26

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source=pdf_text observed=2026-08-05T11:39:36.541713Z digest=sha256:d172b31de1327229725096ce7569f8dbb65f54feaa0a4e8b00f5d3b6c6bf0e9b

Observation 76cbd300-245b-4b9e-b32f-d44f27e83d5a · outbound

This paper cites Continuous chain of thought enables parallel exploration and reasoning.arXiv preprint arXiv:2505.23648,.

Implicit Reasoning in Large Language Models: A Comprehensive Survey Continuous chain of thought enables parallel exploration and reasoning.arXiv preprint arXiv:2505.23648,

Reference 27

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source=pdf_text observed=2026-08-05T11:39:36.547273Z digest=sha256:78e8b642f65c7253e5e4a737cc52d46315a4f5f8432bca0135477d9f8359ac69

Observation 7c940286-f3e6-4a1f-ace5-d17137e4562b · outbound

This paper cites The Llama 3 Herd of Models.

Implicit Reasoning in Large Language Models: A Comprehensive Survey The Llama 3 Herd of Models

Reference 28

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source=pdf_text observed=2026-08-05T11:39:36.552819Z digest=sha256:296f5daf59722ea6d7c72150155b9ccdf6fa164c5092b694cccad9272b0b760a

Observation d535fa4f-4f3e-4378-b5fd-71eb0b3d643b · outbound

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

Implicit Reasoning in Large Language Models: A Comprehensive Survey DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 29

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source=pdf_text observed=2026-08-05T11:39:36.557660Z digest=sha256:276fae8d91ff546d14f01d580ae2ea68d25eab531680b54c49648724094bf273

Observation ea7de05a-bd6a-417e-84ff-d8249bf87268 · outbound

This paper cites Beyond Chains of Thought: Benchmarking Latent-Space Reasoning Abilities in Large Language Models.

Implicit Reasoning in Large Language Models: A Comprehensive Survey Beyond Chains of Thought: Benchmarking Latent-Space Reasoning Abilities in Large Language Models

Reference 30

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source=pdf_text observed=2026-08-05T11:39:36.562234Z digest=sha256:03c0d4365951efab950a69a17255a149b56a99fad3c91d7f16688fdbeba9fda4

Observation fd32a27f-f861-48ad-b662-eb2225a5cef4 · outbound

This paper cites Training Large Language Models to Reason in a Continuous Latent Space.

Implicit Reasoning in Large Language Models: A Comprehensive Survey Training Large Language Models to Reason in a Continuous Latent Space

Reference 31

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source=pdf_text observed=2026-08-05T11:39:36.566930Z digest=sha256:442707ee08b12e94b3489182e013f7d5f234c119d387e40dee8cd5586388df77

Observation 96eef69e-fc40-447e-bdd5-e6aa9202bb2a · outbound

This paper cites Thinking Tokens for Language Modeling.

Implicit Reasoning in Large Language Models: A Comprehensive Survey Thinking Tokens for Language Modeling

Reference 32

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source=pdf_text observed=2026-08-05T11:39:36.571689Z digest=sha256:0fb8728a125998a7d15d0387e6fb3cddb540af5f7a42cb1bd59400bb0ac0764e

Observation a3a2240c-6489-4191-990c-d6c442a27a01 · outbound

This paper cites Reconsidering Overthinking: Penalizing Internal and External Redundancy in CoT Reasoning.

Implicit Reasoning in Large Language Models: A Comprehensive Survey Reconsidering Overthinking: Penalizing Internal and External Redundancy in CoT Reasoning

Reference 33

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source=pdf_text observed=2026-08-05T11:39:36.576724Z digest=sha256:655dfa0f93fbcd763a1ae1d3288a08b63cd4b417fdfaef51df9feeeaa81c3d93

Observation 624a40d2-d6fb-4e1d-90d8-b4cca05f870e · outbound

This paper cites Learning to solve arithmetic word problems with verb categorization.

Implicit Reasoning in Large Language Models: A Comprehensive Survey Learning to solve arithmetic word problems with verb categorization

Reference 34

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source=pdf_text observed=2026-08-05T11:39:36.581225Z digest=sha256:84cb641d8625c4318f84b86268e3d937d212aa9194383ed0848874790904f490

Observation 2b542633-d4fc-4819-9b89-fb415996dde7 · outbound

This paper cites Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders.

Implicit Reasoning in Large Language Models: A Comprehensive Survey Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders

Reference 36

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source=pdf_text observed=2026-08-05T11:39:36.590820Z digest=sha256:403869acc8706fbefb4f6690e222e50dc5455e35eb59321738915cce818cee45

Observation 15681a07-0619-4342-b5f7-11c6bfada805 · outbound

This paper cites GPT-4o System Card.

Implicit Reasoning in Large Language Models: A Comprehensive Survey GPT-4o System Card

Reference 37

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source=pdf_text observed=2026-08-05T11:39:36.595382Z digest=sha256:9af1e0ebabddddec067a3c8058a3903ea5951f6ed73bdb1e1b2b5c82595d70b3

Observation f2b3f4f7-ba30-4894-a8f9-3a5c5034f301 · outbound

This paper cites Mistral 7B.

Implicit Reasoning in Large Language Models: A Comprehensive Survey Mistral 7B

Reference 38

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source=pdf_text observed=2026-08-05T11:39:36.600274Z digest=sha256:855b56b5320cdc9266b3b298b09e180038b0d3c21c1870bbcc711e091530ed7c

Observation 7d00abef-d5b6-4996-9fc8-4fce7a270fee · outbound

This paper cites Aniruddha Kembhavi, Mike Salvato, Eric Kolve, Minjoon Seo, Hannaneh Hajishirzi, and Ali Farhadi.

Implicit Reasoning in Large Language Models: A Comprehensive Survey Aniruddha Kembhavi, Mike Salvato, Eric Kolve, Minjoon Seo, Hannaneh Hajishirzi, and Ali Farhadi

Reference 39

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source=pdf_text observed=2026-08-05T11:39:36.604781Z digest=sha256:c5d35ffe007a3a495f1a9bd3f87c5900ae46631a41bfb8a61a5d5112c12d60ae

Observation 49ce26f3-6e9e-4d3d-bdc6-4868b89b38d6 · outbound

This paper cites Latent Thought Models with Variational Bayes Inference-Time Computation.

Implicit Reasoning in Large Language Models: A Comprehensive Survey Latent Thought Models with Variational Bayes Inference-Time Computation

Reference 42

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source=pdf_text observed=2026-08-05T11:39:36.620227Z digest=sha256:b8f87903f437146cfcf1465817c0199372db72441eb3533d343407b0f36c3e7c

Observation 093c1f3b-02c3-48c9-b403-564211efd302 · outbound

This paper cites Think-to-talk or talk-to-think? when llms come up with an answer in multi-step reasoning.

Implicit Reasoning in Large Language Models: A Comprehensive Survey Think-to-talk or talk-to-think? when llms come up with an answer in multi-step reasoning

Reference 43

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source=pdf_text observed=2026-08-05T11:39:36.624965Z digest=sha256:b97d242d1eb8844c628a35d0346aaca2de75e315726617642ab905bbe1009de2

Observation fb847e12-4b30-458f-bae9-1707bb650e1b · outbound

This paper cites Race: Large-scale reading com- prehension dataset from examinations.

Implicit Reasoning in Large Language Models: A Comprehensive Survey Race: Large-scale reading com- prehension dataset from examinations

Reference 44

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verified fuzzy
raw_fallback, observed 2026-08-05T11:39:40.241651Z

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=2026-08-05T11:39:36.629516Z digest=sha256:cf1f86ff438dd1a36422ddb3bc14d82686d91eb9151c0487f9bb3f7bed6c64ff

Observation 98cb88a1-7a88-4c93-b183-bb9d777f0e22 · outbound

This paper cites Textbooks Are All You Need II: phi-1.5 technical report.

Implicit Reasoning in Large Language Models: A Comprehensive Survey Textbooks Are All You Need II: phi-1.5 technical report

Reference 46

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source=pdf_text observed=2026-08-05T11:39:36.639052Z digest=sha256:9a389bd019d96f14cdf520e70aae7224804c86a4e684cd9db81c279558fc1c49

Observation 61b5a1d5-7a9e-4f22-b43b-57dc43372afc · outbound

This paper cites DeepSeek-V3 Technical Report.

Implicit Reasoning in Large Language Models: A Comprehensive Survey DeepSeek-V3 Technical Report

Reference 48

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source=pdf_text observed=2026-08-05T11:39:36.648751Z digest=sha256:04a6cea6c2da0b03fe19306ba94894b21628222c101716e132673a73d63de99e

Observation 499b6c8f-943c-4ef0-929a-00d683b5c6ff · outbound

This paper cites Expediting and Elevating Large Language Model Reasoning via Hidden Chain-of-Thought Decoding.

Implicit Reasoning in Large Language Models: A Comprehensive Survey Expediting and Elevating Large Language Model Reasoning via Hidden Chain-of-Thought Decoding

Reference 49

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source=pdf_text observed=2026-08-05T11:39:36.653341Z digest=sha256:96aa359e7e4c99cb76e5f373a4c701863d8a3b9a7a44f2c2fb284ec439b0f116

Observation fda8eb91-e7ee-4862-a5ff-457982b243c7 · outbound

This paper cites CoT-Valve: Length-Compressible Chain-of-Thought Tuning.

Implicit Reasoning in Large Language Models: A Comprehensive Survey CoT-Valve: Length-Compressible Chain-of-Thought Tuning

Reference 50

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source=pdf_text observed=2026-08-05T11:39:36.658088Z digest=sha256:a382608d30c1c9e88051612cf6f1a1a0e384d223c0c6d74b6b9ad37394eb10b0

Observation 3a5ba034-b3e2-4b28-85b5-52be20cea5c0 · outbound

This paper cites Llama 3.2: Revolutionizing edge ai and vision with open, customizable models.

Implicit Reasoning in Large Language Models: A Comprehensive Survey Llama 3.2: Revolutionizing edge ai and vision with open, customizable models

Reference 51

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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=2026-08-05T11:39:36.663460Z digest=sha256:6ba86d4584f1b4db0977de7adb07a70d87cb38c2f7dea12deb700e1359aaa68e

Observation 642ac4ac-1d7b-4f7c-b919-7187a459082a · outbound

This paper cites Shen-Yun Miao, Chao-Chun Liang, and Keh-Yih Su.

Implicit Reasoning in Large Language Models: A Comprehensive Survey Shen-Yun Miao, Chao-Chun Liang, and Keh-Yih Su

Reference 52

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verified fuzzy
raw_fallback, observed 2026-08-05T11:39:39.901738Z

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=2026-08-05T11:39:36.668059Z digest=sha256:ae84f3e04e1df08836e457079f97ae144431cdc6bd7914ce7e55e658dbfe2671

Observation 89dc4bdb-5f2f-4b7d-9e2a-fdaadb66f95f · outbound

This paper cites Can a suit of armor conduct electricity? a new dataset for open book question answering.

Implicit Reasoning in Large Language Models: A Comprehensive Survey Can a suit of armor conduct electricity? a new dataset for open book question answering

Reference 53

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source=pdf_text observed=2026-08-05T11:39:36.672400Z digest=sha256:055ac361153bbd057ac06eb167c874c03ea54e1d0bb76f4bcdc9a8ac69dca625

Observation 8bdc85aa-ec1a-4a2f-b79b-f1aa779ffcba · outbound

This paper cites Beyond Words: A Latent Memory Approach to Internal Reasoning in LLMs.

Implicit Reasoning in Large Language Models: A Comprehensive Survey Beyond Words: A Latent Memory Approach to Internal Reasoning in LLMs

Reference 54

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source=pdf_text observed=2026-08-05T11:39:36.678084Z digest=sha256:178f6a75705988808857ea9713f53deb3839837e092af9abfaf54ee4ea70c1ff

Observation f572a72d-2c60-42a5-9dd0-88559ccd32bf · outbound

This paper cites an unresolved cited work.

Implicit Reasoning in Large Language Models: A Comprehensive Survey Unresolved cited work

Reference 55

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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=2026-08-05T11:39:36.682791Z digest=sha256:0b37f472e4f44b64af12f59585317bf9056a4ea2fd781b25a7a470924269edbe

Observation 65e1dc31-530b-4647-8639-37945e1c36c2 · outbound

This paper cites Measuring and narrowing the compositionality gap in language models.

Implicit Reasoning in Large Language Models: A Comprehensive Survey Measuring and narrowing the compositionality gap in language models

Reference 56

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source=pdf_text observed=2026-08-05T11:39:36.687944Z digest=sha256:a08ad626f896dadd3d4a113b9b0fc42c3f9052eca4eabe44662483d33d3c3cf8

Observation a14096da-097d-469b-9a63-8927bb494291 · outbound

This paper cites A survey of efficient reasoning for large reasoning models: Language, multi- modality, and beyond.arXiv preprint arXiv:2503.21614,.

Implicit Reasoning in Large Language Models: A Comprehensive Survey A survey of efficient reasoning for large reasoning models: Language, multi- modality, and beyond.arXiv preprint arXiv:2503.21614,

Reference 57

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source=pdf_text observed=2026-08-05T11:39:36.692514Z digest=sha256:d81395cfc3e65eabd7d98109ceaa93756fee85fff63b4e7f282189ae33b7a70c

Observation 8b7afc0f-d7c6-4a5f-a806-649005b774f9 · outbound

This paper cites Squad: 100,000+ questions for machine comprehension of text.

Implicit Reasoning in Large Language Models: A Comprehensive Survey Squad: 100,000+ questions for machine comprehension of text

Reference 58

Resolution
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raw_fallback, observed 2026-08-05T11:39:39.657310Z

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=2026-08-05T11:39:36.697145Z digest=sha256:e86fe17764af4c8c521c6bcc4a773efc442ea2cb709aa38392d2481d93b23b60

Observation ca863478-b60b-4311-8b46-8bf2a825d2fe · outbound

This paper cites Solving general arithmetic word problems.

Implicit Reasoning in Large Language Models: A Comprehensive Survey Solving general arithmetic word problems

Reference 59

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T11:39:36.701511Z digest=sha256:9eac6844bdd25425a88a9278315494b5ee76dc31182d12960fcb9c6b2be6c4dd

Observation 687c14c8-4401-4f03-8564-357d83ca5308 · outbound

This paper cites Reasoning to learn from latent thoughts.

Implicit Reasoning in Large Language Models: A Comprehensive Survey Reasoning to learn from latent thoughts

Reference 60

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source=pdf_text observed=2026-08-05T11:39:36.706197Z digest=sha256:93334096ad3cb26efe8a98b7931750a194383cb44d99ddecd26264d02358f14e

Observation 909bbd0e-da18-4d83-9bec-0ef4bbd1e8db · outbound

This paper cites Social iqa: Commonsense reasoning about social interactions.

Implicit Reasoning in Large Language Models: A Comprehensive Survey Social iqa: Commonsense reasoning about social interactions

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:39:39.521611Z

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=2026-08-05T11:39:36.710587Z digest=sha256:08bccc28dbd88ad05dc86ee88e80a7237034e5bd8e6d6064b51bd9466bbc69b8

Observation af33b641-d149-4c9c-b427-126ad1cebacc · outbound

This paper cites Reasoning with Latent Thoughts: On the Power of Looped Transformers.

Implicit Reasoning in Large Language Models: A Comprehensive Survey Reasoning with Latent Thoughts: On the Power of Looped Transformers

Reference 62

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source=pdf_text observed=2026-08-05T11:39:36.715709Z digest=sha256:5701bcab631b213b58c5d495dff137b68530699e055efaa774556a936674c5a2

Observation bb52a3ab-2dd3-4923-a05f-1f75bd138d43 · outbound

This paper cites Distributional reasoning in LLMs: Parallel reasoning processes in multi-hop reasoning.

Implicit Reasoning in Large Language Models: A Comprehensive Survey Distributional reasoning in LLMs: Parallel reasoning processes in multi-hop reasoning

Reference 63

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source=pdf_text observed=2026-08-05T11:39:36.720599Z digest=sha256:4756f33814e714b7fa53c69f7ed065716f715d9c2f50d807978173b2b8f88b05

Observation aa6506ce-311c-4982-8987-568adcb490a1 · outbound

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

Implicit Reasoning in Large Language Models: A Comprehensive Survey DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 64

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source=pdf_text observed=2026-08-05T11:39:36.725363Z digest=sha256:2159e52ba764b3223fe647645bb5a7935bd41fc6efaa6018ea9662726ecaab7d

Observation 58670bd8-4a43-40ee-a495-369942d08855 · outbound

This paper cites Efficient Reasoning with Hidden Thinking.

Implicit Reasoning in Large Language Models: A Comprehensive Survey Efficient Reasoning with Hidden Thinking

Reference 65

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source=pdf_text observed=2026-08-05T11:39:36.730162Z digest=sha256:f9f9a011f55217046a3a61d415432793f5d2f91666a1813944887c9ef5a8add6

Observation 46024e7b-6924-4273-84d2-f4f7a36fa9b2 · outbound

This paper cites Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning.

Implicit Reasoning in Large Language Models: A Comprehensive Survey Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning

Reference 66

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T11:39:36.734847Z digest=sha256:4562b31e1057e04a0f76b5fcccbde86806ede03db57f2a4ba6dcbce00f005d1c

Observation 9540ca33-74c1-4851-b3c9-a3bc7aa6e193 · outbound

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

Implicit Reasoning in Large Language Models: A Comprehensive Survey Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models

Reference 67

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source=pdf_text observed=2026-08-05T11:39:36.739966Z digest=sha256:9738e5d003a9b89002a3ceeb955fbca7664edeb70c5fd7e3a72d5de703cc68f1

Observation 7ce4cd0e-ae7f-4774-947f-ef3be385bb68 · outbound

This paper cites A Survey of Reasoning with Foundation Models.

Implicit Reasoning in Large Language Models: A Comprehensive Survey A Survey of Reasoning with Foundation Models

Reference 68

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source=pdf_text observed=2026-08-05T11:39:36.744945Z digest=sha256:d5ce64ba463a863aa3bef5b21a7d1114c77b3d60c3bfe575eb26fdc91e4cb1c5

Observation 569aae9d-256f-4c22-8303-3d409fb6b78c · outbound

This paper cites Enhancing Latent Computation in Transformers with Latent Tokens.

Implicit Reasoning in Large Language Models: A Comprehensive Survey Enhancing Latent Computation in Transformers with Latent Tokens

Reference 69

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source=pdf_text observed=2026-08-05T11:39:36.749534Z digest=sha256:1ad0008acf6f7da0963f0bd9a96079ab0261a18a986991ccb46d062565a744ef

Observation 77384798-95e3-4f9c-a49d-7342018eb793 · outbound

This paper cites Challenging big-bench tasks and whether chain-of-thought can solve them.

Implicit Reasoning in Large Language Models: A Comprehensive Survey Challenging big-bench tasks and whether chain-of-thought can solve them

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:39:39.321614Z

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=2026-08-05T11:39:36.753956Z digest=sha256:d67126a304195249199289ac3dd02b4c2a739fd8433b7441fbbf6e5c2b9fe526

Observation 3281b352-bf5a-4ab0-83ec-ce80173c72f3 · outbound

This paper cites LLM Pretraining with Continuous Concepts.

Implicit Reasoning in Large Language Models: A Comprehensive Survey LLM Pretraining with Continuous Concepts

Reference 71

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source=pdf_text observed=2026-08-05T11:39:36.759475Z digest=sha256:89524ff3d1f12b43843a8312c73d95fdbedaec9c79f566624139174aadc73b3b

Observation da911cd8-d44d-4ace-94a1-c1532e2380b7 · outbound

This paper cites The web as a knowledge-base for answering complex questions.

Implicit Reasoning in Large Language Models: A Comprehensive Survey The web as a knowledge-base for answering complex questions

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:39:39.119804Z

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=2026-08-05T11:39:36.764176Z digest=sha256:10e93716df91b6ac115f2c7c9d52879e206063faeeafba2c770a8bc0a60d07e8

Observation 2daa98a2-1cf4-459e-9596-11f97805b921 · outbound

This paper cites Commonsenseqa: A question an- swering challenge targeting commonsense knowledge.

Implicit Reasoning in Large Language Models: A Comprehensive Survey Commonsenseqa: A question an- swering challenge targeting commonsense knowledge

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:39:38.969414Z

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=2026-08-05T11:39:36.769388Z digest=sha256:277ad9fe4220493c518f31fa82a0974a9ce8bb930bb949d0f55643c53801bb3d

Observation 200860e9-e896-4283-839b-105e7e0fb0b4 · outbound

This paper cites Think silently, think fast: Dynamic latent compression of llm reasoning chains.arXiv preprint arXiv:2505.16552,.

Implicit Reasoning in Large Language Models: A Comprehensive Survey Think silently, think fast: Dynamic latent compression of llm reasoning chains.arXiv preprint arXiv:2505.16552,

Reference 74

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source=pdf_text observed=2026-08-05T11:39:36.773838Z digest=sha256:0c20d793a013124a06d7c0f686d19bd5f9d5f308858c685c1056493ed492f883

Observation 75bf0375-711d-4cc4-973c-d21a36fe0e1b · outbound

This paper cites Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation.

Implicit Reasoning in Large Language Models: A Comprehensive Survey Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation

Reference 75

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source=pdf_text observed=2026-08-05T11:39:36.779144Z digest=sha256:f1ab8c31af4c88b5ee5c21ba9a2e8dbbcd8a734329cf76c1c92aa155489d766d

Observation d0bc00d8-a9c7-4b69-a0a6-80998602f780 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Implicit Reasoning in Large Language Models: A Comprehensive Survey LLaMA: Open and Efficient Foundation Language Models

Reference 76

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source=pdf_text observed=2026-08-05T11:39:36.783866Z digest=sha256:6805a5ea61848db6e7df5a269f151f22aed01bfd47995f79249763288307da38

Observation 75474743-3599-446b-9d3e-44b54d65a3c0 · outbound

This paper cites LLaVA-CoT: Let Vision Language Models Reason Step-by-Step.

Implicit Reasoning in Large Language Models: A Comprehensive Survey LLaVA-CoT: Let Vision Language Models Reason Step-by-Step

Reference 77

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source=pdf_text observed=2026-08-05T11:39:36.788524Z digest=sha256:3451adc8d2fe30d60ea43f28f027efc6d777222e06970bdb7322fa1d46416888

Observation 39fa22c3-b743-4fb8-9e1a-16356b831833 · outbound

This paper cites To cot or to loop? a formal comparison between chain-of-thought and looped transformers.

Implicit Reasoning in Large Language Models: A Comprehensive Survey To cot or to loop? a formal comparison between chain-of-thought and looped transformers

Reference 78

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source=pdf_text observed=2026-08-05T11:39:36.792996Z digest=sha256:f8ed833af622d95776f2c86591e025dbbfacfad3f6564f8d0877a14c85e0a142

Observation 53eeb43d-fcfb-47d7-870c-88f73c8344c8 · outbound

This paper cites SoftCoT++: Test-Time Scaling with Soft Chain-of-Thought Reasoning.

Implicit Reasoning in Large Language Models: A Comprehensive Survey SoftCoT++: Test-Time Scaling with Soft Chain-of-Thought Reasoning

Reference 79

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source=pdf_text observed=2026-08-05T11:39:36.797620Z digest=sha256:f85a8d9b9373ed06cf4ad8b1bf964a5e731135ee7db7ad60d792cae5d5ce9ee5

Observation 86bfef6d-cb60-4900-a275-7d3e4ad50650 · outbound

This paper cites Qwen2 Technical Report.

Implicit Reasoning in Large Language Models: A Comprehensive Survey Qwen2 Technical Report

Reference 80

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source=pdf_text observed=2026-08-05T11:39:36.802042Z digest=sha256:2a9c6e491cc00b140d59cf154d15c696deca6a57887d09aa6aa4348f9d0ecc26

Observation 8ed75a78-bf9c-4b64-9f36-273dc3cafce4 · outbound

This paper cites Internal chain-of-thought: Empirical evidence for layer-wise subtask scheduling in llms.arXiv preprint arXiv:2505.14530, 2025b.

Implicit Reasoning in Large Language Models: A Comprehensive Survey Internal chain-of-thought: Empirical evidence for layer-wise subtask scheduling in llms.arXiv preprint arXiv:2505.14530, 2025b

Reference 81

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source=pdf_text observed=2026-08-05T11:39:36.807455Z digest=sha256:eaf7a7fa08e0bb35d60d4b1bf6069cb2672392cebaafa9d5ace72d7f9439d0d3

Observation 4f5e0688-b808-4be8-8e74-7e7efdb3b4a8 · outbound

This paper cites A Survey on Recent Advances in LLM-Based Multi-turn Dialogue Systems.

Implicit Reasoning in Large Language Models: A Comprehensive Survey A Survey on Recent Advances in LLM-Based Multi-turn Dialogue Systems

Reference 82

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source=pdf_text observed=2026-08-05T11:39:36.811933Z digest=sha256:3c956e5b96977f6f8bbebf1e81349e8fb8c91fb384cdd2ba47fd725c21b98e5a

Observation e1e2dbd0-a1ec-4b87-8e99-9c095c0739de · outbound

This paper cites Enhancing Auto-regressive Chain-of-Thought through Loop-Aligned Reasoning.

Implicit Reasoning in Large Language Models: A Comprehensive Survey Enhancing Auto-regressive Chain-of-Thought through Loop-Aligned Reasoning

Reference 83

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source=pdf_text observed=2026-08-05T11:39:36.816721Z digest=sha256:8cbb339dc5ada9ca40514edacb9fde4719887df550c18baa598a99c1d8e4a55b

Observation 73c53867-ed90-4a11-96e9-11530415ee37 · outbound

This paper cites Don't Overthink It: A Survey of Efficient R1-style Large Reasoning Models.

Implicit Reasoning in Large Language Models: A Comprehensive Survey Don't Overthink It: A Survey of Efficient R1-style Large Reasoning Models

Reference 84

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source=pdf_text observed=2026-08-05T11:39:36.822280Z digest=sha256:58a6e52158874e44d1dbd5d119705e20b8b1cff6ba1929d5c46899fcea7fb6a1

Observation 7961f323-cc88-4238-a0f2-5f77d494270d · outbound

This paper cites Pretraining language models to ponder in continuous space.

Implicit Reasoning in Large Language Models: A Comprehensive Survey Pretraining language models to ponder in continuous space

Reference 85

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source=pdf_text observed=2026-08-05T11:39:36.827156Z digest=sha256:35c3aaa6fb570eb6542d162ca6955a74bb5bc309306b6437d567a113075672d4

Observation c06bdd9f-ab6f-4d39-abda-c9b067a1e46e · outbound

This paper cites Lightthinker: Thinking step-by-step compression.arXiv preprint arXiv:2502.15589, 2025a.

Implicit Reasoning in Large Language Models: A Comprehensive Survey Lightthinker: Thinking step-by-step compression.arXiv preprint arXiv:2502.15589, 2025a

Reference 86

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source=pdf_text observed=2026-08-05T11:39:36.831991Z digest=sha256:02aaebcd91a5f99996e11f3d183c972cbdcd3a80d2c414b5843ccc767632262d

Observation bea2c57e-65ec-41ae-8802-3c9f90c5d6b3 · outbound

This paper cites A Survey on Test-Time Scaling in Large Language Models: What, How, Where, and How Well?.

Implicit Reasoning in Large Language Models: A Comprehensive Survey A Survey on Test-Time Scaling in Large Language Models: What, How, Where, and How Well?

Reference 87

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source=pdf_text observed=2026-08-05T11:39:36.836416Z digest=sha256:f991f4e6eb8c3bc4962aa0ef913bbecb07194b3c168098b29256e3b84e753b2e

Observation 6ce5f162-43d7-4bc3-a948-09f9d838ce4c · outbound

This paper cites Soft Thinking: Unlocking the Reasoning Potential of LLMs in Continuous Concept Space.

Implicit Reasoning in Large Language Models: A Comprehensive Survey Soft Thinking: Unlocking the Reasoning Potential of LLMs in Continuous Concept Space

Reference 88

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source=pdf_text observed=2026-08-05T11:39:36.841169Z digest=sha256:89fbf5d96da3b8497023fcedb5b9e839a69e7514aefded97853740e518a11e43

Observation ba0375f9-42df-4df1-bc61-12e3be3a6a82 · outbound

This paper cites Reinforced MLLM: A Survey on RL-Based Reasoning in Multimodal Large Language Models.

Implicit Reasoning in Large Language Models: A Comprehensive Survey Reinforced MLLM: A Survey on RL-Based Reasoning in Multimodal Large Language Models

Reference 89

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:39:36.846438Z digest=sha256:15b55adbe04aa4298bd27c6d07341d1ba552233ee030e6a430a0ff05807459f3

Observation bd6a7b78-b375-45e8-8098-dd34a6cd8035 · outbound

This paper cites Reasoning by superposition: A theoretical perspective on chain of continuous thought.arXiv preprint arXiv:2505.12514, 2025a.

Implicit Reasoning in Large Language Models: A Comprehensive Survey Reasoning by superposition: A theoretical perspective on chain of continuous thought.arXiv preprint arXiv:2505.12514, 2025a

Reference 90

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:39:36.851125Z digest=sha256:b034b910208fba3044283fa74c1eccf93c7eec483b08355dde47abccd3f48c40

Observation 5abe9b40-224b-4dc7-95d2-83f3a27f7637 · outbound

This paper cites Language Models are Hidden Reasoners: Unlocking Latent Reasoning Capabilities via Self-Rewarding.

Implicit Reasoning in Large Language Models: A Comprehensive Survey Language Models are Hidden Reasoners: Unlocking Latent Reasoning Capabilities via Self-Rewarding

Reference 2013

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no resolver link, observed 2026-08-05T11:39:36.459749Z

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source=pdf_text observed=2026-08-05T11:39:36.459749Z digest=sha256:0097ab86acceee3781844f86ab43bb92153ce542d824dbea37e6d924ff1a32f6

Observation 4e29db64-4584-494b-9046-4de69146aebd · outbound

This paper cites Towards a Mechanistic Interpretation of Multi-Step Reasoning Capabilities of Language Models.

Implicit Reasoning in Large Language Models: A Comprehensive Survey Towards a Mechanistic Interpretation of Multi-Step Reasoning Capabilities of Language Models

Reference 2014

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verified exact
local_arxiv, observed 2026-08-05T11:39:38.184883Z

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=2026-08-05T11:39:36.585785Z digest=sha256:99f8ef54ff3bc0458f16e4b6348370a15aa8b3b74b91951caff733eac85db8d5

Observation ab903e51-d3fe-49b2-89bd-1549b0cd3d06 · outbound

This paper cites Mawps: A math word problem repository.

Implicit Reasoning in Large Language Models: A Comprehensive Survey Mawps: A math word problem repository

Reference 2015

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verified fuzzy
raw_fallback, observed 2026-08-05T11:39:40.391906Z

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=2026-08-05T11:39:36.615720Z digest=sha256:9055d251e9fe0a9a95ff88927e22e798190875a59aa751d7335b6a251e3f14b1

Observation 9c5abf39-23d1-41ef-b55a-6f44e702b6f4 · outbound

This paper cites Learning to Insert [PAUSE] Tokens for Better Reasoning.

Implicit Reasoning in Large Language Models: A Comprehensive Survey Learning to Insert [PAUSE] Tokens for Better Reasoning

Reference 2016

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no resolver link, observed 2026-08-05T11:39:36.609419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:39:36.609419Z digest=sha256:16b66f87136f44af1a60d276f6726b9c1c0e5215679579340e51b74b753a2394

Observation 249e94e4-269a-4f3e-bbe9-6764409d47bd · outbound

This paper cites Seek in the dark: Reasoning via test-time instance-level policy gradient in latent space.arXiv preprint arXiv:2505.13308, 2025a.

Implicit Reasoning in Large Language Models: A Comprehensive Survey Seek in the dark: Reasoning via test-time instance-level policy gradient in latent space.arXiv preprint arXiv:2505.13308, 2025a

Reference 2017

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no resolver link, observed 2026-08-05T11:39:36.634134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:39:36.634134Z digest=sha256:42cdfcc0722a65bbe9fc9438a930dc9ef050f517fc6671aea1245e1991b67a04

Observation 5cf79b61-c2b3-456b-ae0e-3cf7b9150f6a · outbound

This paper cites A mechanistic analysis of a transformer trained on a symbolic multi-step reasoning task.

Implicit Reasoning in Large Language Models: A Comprehensive Survey A mechanistic analysis of a transformer trained on a symbolic multi-step reasoning task

Reference 2018

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no resolver link, observed 2026-08-05T11:39:36.449541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:39:36.449541Z digest=sha256:47beb3e9fb840677445d580a1c2bf96c42e89f05c7030cf7b97390a856e2a451

Observation 4ff9b958-b7fe-4ce5-9bf4-7a3a2dd5fdf1 · outbound

This paper cites Cot red-handed: Stress testing chain-of-thought monitoring.

Implicit Reasoning in Large Language Models: A Comprehensive Survey Cot red-handed: Stress testing chain-of-thought monitoring

Reference 2019

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no resolver link, observed 2026-08-05T11:39:36.422714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:39:36.422714Z digest=sha256:3889be0a69528fc3904f2806089a24920a9e0faa0efeb762d854d85696f46f4d

Observation 3fa7edaa-ab97-45f0-beba-df915697eeee · outbound

This paper cites Learning to split and rephrase from wikipedia edit history.

Implicit Reasoning in Large Language Models: A Comprehensive Survey Learning to split and rephrase from wikipedia edit history

Reference 2020

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no resolver link, observed 2026-08-05T11:39:36.444895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:39:36.444895Z digest=sha256:104ae6486064d9bf59ad52c0894bec9e49ceb273d6292cedd049cbb82706846a

Observation 453e3f5f-4805-40dc-8ace-926492111e35 · outbound

This paper cites Semantic parsing on freebase from question- answer pairs.

Implicit Reasoning in Large Language Models: A Comprehensive Survey Semantic parsing on freebase from question- answer pairs

Reference 2021

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no resolver link, observed 2026-08-05T11:39:36.433923Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T11:39:36.433923Z digest=sha256:ad7b9f1cfb0e1f513c19bfa2e7d32b18dd3888459180db91d23bea6498b13ef5

Observation 104ee5b9-df2a-42c1-a55a-ff3a506d85d6 · outbound

This paper cites Implicit Reasoning in Transformers is Reasoning through Shortcuts.

Implicit Reasoning in Large Language Models: A Comprehensive Survey Implicit Reasoning in Transformers is Reasoning through Shortcuts

Reference 2022

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no resolver link, observed 2026-08-05T11:39:36.643729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:39:36.643729Z digest=sha256:775982b859f3298d040619bee2b0d34061a942a3205b3a3cf271b307a686183d

Observation 0e3c21ac-f5f7-484c-b7aa-110397d5621f · outbound

This paper cites Reasoning beyond language: A comprehensive survey on latent chain-of- thought reasoning.

Implicit Reasoning in Large Language Models: A Comprehensive Survey Reasoning beyond language: A comprehensive survey on latent chain-of- thought reasoning

Reference 2023

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no resolver link, observed 2026-08-05T11:39:36.469863Z

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source=pdf_text observed=2026-08-05T11:39:36.469863Z digest=sha256:1dd86c5fe6bb3a7c5ffb688f1921d1bfd81f886d7f920f7677c353067bd6a3b0

Observation 5b72f2ae-1b24-4131-a042-80282b2f5bcf · outbound

This paper cites Mathqa: Towards interpretable math word problem solving with operation-based formalisms.

Implicit Reasoning in Large Language Models: A Comprehensive Survey Mathqa: Towards interpretable math word problem solving with operation-based formalisms

Reference 2024

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no resolver link, observed 2026-08-05T11:39:36.417602Z

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source=pdf_text observed=2026-08-05T11:39:36.417602Z digest=sha256:f3077cbc4509040345357070aae06526423735d57e2a7f60a473b87b0d512ac3

Observation 233a70b9-429e-424f-8f38-85543cd56cfd · outbound

This paper cites Program Synthesis with Large Language Models.

Implicit Reasoning in Large Language Models: A Comprehensive Survey Program Synthesis with Large Language Models

Reference 2025

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no resolver link, observed 2026-08-05T11:39:36.428313Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:39:36.428313Z digest=sha256:822ef2c4aa1a89ee1a8dd76f5cd79848d0c503c531a6d0f4420797131c4695e4

Pith citing papers

Observation facedfcf-7b0f-4fdd-ba54-f61130e719b6 · inbound

S$^2$GR: Stepwise Semantic-Guided Reasoning in Latent Space for Generative Recommendation cites this paper.

S$^2$GR: Stepwise Semantic-Guided Reasoning in Latent Space for Generative Recommendation Implicit Reasoning in Large Language Models: A Comprehensive Survey

Reference 18

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verified exact
arxiv_id, observed 2026-05-21T14:24:12.849201Z

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=2026-05-21T14:23:44.856958Z digest=sha256:b1d7ccad06a821e1f626822193ac3a685abfbfc1e5ad2d68ef6cccff0d7cc5d4

Observation d2faa3d1-e98a-4da1-86b6-48af6ce1137f · inbound

Curriculum Learning for Efficient Chain-of-Thought Distillation via Structure-Aware Masking and GRPO cites this paper.

Curriculum Learning for Efficient Chain-of-Thought Distillation via Structure-Aware Masking and GRPO Implicit Reasoning in Large Language Models: A Comprehensive Survey

Reference 8

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no resolver link, observed 2026-08-03T04:22:10.213699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T04:22:10.213699Z digest=sha256:79a742c138251f7f22265e35782b7f0538c73b656c92b5d900068c03ccba6168

Observation f0e57490-242c-4d0c-bf87-c4607e4a25fa · inbound

The Latent Space: Foundation, Evolution, Mechanism, Ability, and Outlook cites this paper.

The Latent Space: Foundation, Evolution, Mechanism, Ability, and Outlook Implicit Reasoning in Large Language Models: A Comprehensive Survey

Reference 105

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no resolver link, observed 2026-07-13T14:03:01.974171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T14:03:01.974171Z digest=sha256:1898f771e57191ca88fa54bcb30200c4a797ff082705024f218cbb6e6c5f6579

Observation 2fec928c-8b80-4791-9efc-73feb4ef317a · inbound

SeLaR: Selective Latent Reasoning in Large Language Models cites this paper.

SeLaR: Selective Latent Reasoning in Large Language Models Implicit Reasoning in Large Language Models: A Comprehensive Survey

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:35:49.686970Z

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=arxiv_source observed=2026-05-10T18:27:36.132030Z digest=sha256:21ac1d2824a6288c9c3c85150384561adcbc54f6f6ff5494fa0321f0c79ee11e

Observation 9f4c592c-d261-4d4b-8e1d-7915f1b49ae2 · inbound

Latent Abstraction for Retrieval-Augmented Generation cites this paper.

Latent Abstraction for Retrieval-Augmented Generation Implicit Reasoning in Large Language Models: A Comprehensive Survey

Reference 25

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verified exact
arxiv_id, observed 2026-05-11T12:01:04.925583Z

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=2026-05-10T04:22:05.341154Z digest=sha256:171208ef07ea46ee0a64131d68072769c7c16ae7a7cdfc842497c5829878ba40

Observation 949c7a12-308b-4906-a97a-0aabf701de92 · inbound

HypEHR: Hyperbolic Modeling of Electronic Health Records for Efficient Question Answering cites this paper.

HypEHR: Hyperbolic Modeling of Electronic Health Records for Efficient Question Answering Implicit Reasoning in Large Language Models: A Comprehensive Survey

Reference 105

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verified exact
arxiv_id, observed 2026-05-09T23:54:45.079052Z

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=arxiv_source observed=2026-05-09T23:51:47.724033Z digest=sha256:4966ff0cc8f46e0621be778ec6913c73a61d099f3391e2a2e22a9ebc6099a346

Observation ef8e070a-2e19-40ca-bed1-cd01c1cbd150 · inbound

CopT: Contrastive On-Policy Thinking with Continuous Spaces for General and Agentic Reasoning cites this paper.

CopT: Contrastive On-Policy Thinking with Continuous Spaces for General and Agentic Reasoning Implicit Reasoning in Large Language Models: A Comprehensive Survey

Reference 17

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verified exact
arxiv_id, observed 2026-05-20T05:28:04.970653Z

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=2026-05-20T05:25:51.655208Z digest=sha256:1eed114fbe25a028ddccd5d196ff29de12c23ede889631ae528dd10c735ce852

Observation a804923e-2fac-4786-be16-6beab115ae86 · inbound

On the Cost and Benefit of Chain of Thought: A Learning-Theoretic Perspective cites this paper.

On the Cost and Benefit of Chain of Thought: A Learning-Theoretic Perspective Implicit Reasoning in Large Language Models: A Comprehensive Survey

Reference 52

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verified exact
arxiv_id, observed 2026-05-21T05:13:58.695226Z

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=2026-05-21T05:09:37.588841Z digest=sha256:cdfc6abdf0e0265fbf74d828ae16d04521ad9be9262e388c2eccc9aa5672a2df

Observation e2749ef2-80c9-46cd-90c1-4226907df39b · inbound

The Attentional White Bear Effect in Transformer Language Models cites this paper.

The Attentional White Bear Effect in Transformer Language Models Implicit Reasoning in Large Language Models: A Comprehensive Survey

Reference 8

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T12:53:27.047357Z

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=2026-06-29T12:43:43.792334Z digest=sha256:f494557ce665378498ac5f19321ffe88c367ee9d235cbdd82943002c97a4db9c

Observation 8b70a571-55d2-463c-bf37-d7744bd02d20 · inbound

LoRi: Low-Rank Distillation for Implicit Reasoning cites this paper.

LoRi: Low-Rank Distillation for Implicit Reasoning Implicit Reasoning in Large Language Models: A Comprehensive Survey

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-07-02T08:06:48.354758Z

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=arxiv_source observed=2026-06-28T06:20:42.184829Z digest=sha256:6d4b1fb40edf4aeb96e58d987774a8579736c7f389f39e7f6f721063df05d832

Observation e4108ceb-95d5-4881-8688-92f4cebe4a46 · inbound

Latent Visual States for Efficient Multimodal Reasoning cites this paper.

Latent Visual States for Efficient Multimodal Reasoning Implicit Reasoning in Large Language Models: A Comprehensive Survey

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-07-04T16:29:57.262869Z

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=2026-06-26T00:38:11.619574Z digest=sha256:b7f95c78e525e489d635c0082633033b685afec834e8655a3f8a5469368cbf4a

Observation 9c93f117-4159-409c-8670-8ae76bf3ebd1 · inbound

Bridging the Gap Between Latent and Explicit Reasoning with Looped Transformers cites this paper.

Bridging the Gap Between Latent and Explicit Reasoning with Looped Transformers Implicit Reasoning in Large Language Models: A Comprehensive Survey

Reference 147

Resolution
verified exact
arxiv_id, observed 2026-07-01T06:55:29.218597Z

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=arxiv_source observed=2026-07-01T06:51:41.784250Z digest=sha256:58992ce218d914146c943965882912fc108f3c0626d7bb4ce447210e7becbe8a

Observation 102a20ae-e9e5-4954-9d55-7ddb52e6ea0f · inbound

Bridging the Gap Between Latent and Explicit Reasoning with Looped Transformers cites this paper.

Bridging the Gap Between Latent and Explicit Reasoning with Looped Transformers Implicit Reasoning in Large Language Models: A Comprehensive Survey

Reference 39

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unresolved
no resolver link, observed 2026-07-14T16:55:54.890261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T16:55:54.890261Z digest=sha256:c2b9dbc261fe2172dd56d35ea0f823b91f819514ed450a6618bea34749a43967

Observation 35a11517-2f35-4975-b7be-7e3da71cfd08 · inbound

MARS: Multi-hop Adaptive Retrieval and SPARQL Generation for KGQA cites this paper.

MARS: Multi-hop Adaptive Retrieval and SPARQL Generation for KGQA Implicit Reasoning in Large Language Models: A Comprehensive Survey

Reference 27

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no resolver link, observed 2026-08-02T01:48:36.311173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:48:36.311173Z digest=sha256:525fe743d9f20a57921bffaf993a9b961338a729869463452ac337e1c61a9914

Observation f4a04d3f-1bdd-42a6-bfbc-68b7393264cc · inbound

Efficient Chain-of-Modality Reasoning via Progressive Compression for Spoken Language Models cites this paper.

Efficient Chain-of-Modality Reasoning via Progressive Compression for Spoken Language Models Implicit Reasoning in Large Language Models: A Comprehensive Survey

Reference 29

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no resolver link, observed 2026-08-01T11:20:17.811223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T11:20:17.811223Z digest=sha256:c135d089b12633f82f649f2fd712cb1aea551bf09df2a298181ac929949342b9

Observation a0cd9fdc-073d-4f70-b655-0c078d342b5a · inbound

ThinkOmni: A Reasoning-Driven Omni-Modal LLM Framework for Audio Forgery Detection and Localization cites this paper.

ThinkOmni: A Reasoning-Driven Omni-Modal LLM Framework for Audio Forgery Detection and Localization Implicit Reasoning in Large Language Models: A Comprehensive Survey

Reference 7

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no resolver link, observed 2026-08-01T13:33:22.424201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T13:33:22.424201Z digest=sha256:91b7a6f94ac2d7af56af5124192542164d0365dbb370af2f3468ae619190f4fb