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Paper Citation Record · LEDGER

Implicit Reasoning in Large Language Models: A Comprehensive Survey

As of 14 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 2026-08-14T06:32:32.682623+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=sha256:0dfae64ddb9628a810d97e40740375164ccf1cb22b3ffcec9405829f9415f043

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:e45309dcb581fd31deb46e0a6df9053ba12c3e8e7d6781d3ed990e5e0d30e014

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=sha256:789634fc764c30c11a879f0acb1a7010c675d08e995a6ba926a0bd3a22c8232a

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=sha256:2b4ce067a7158eb63299910ed3bcd7c22ed925b6325e6a892dd2de1a6a8e2baa

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:d68f5c6781e1db254be82ef957458f7563a83b2780fd909e09f136dc40abf17e

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=sha256:438b10895e0f5cd705729f5bd7a843b946fa61c2a2348664777c48467f868a61

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=sha256:0ca2a6f1c4db4f15c17ed5add334eaa33686b21c2666097dd3dc38f460f9ae8c

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=sha256:08335c8d89bf84a28fd6a26f6c2e69781d4d03abfc06330423d9d0ea1c9fd4ab

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:e8347c7d352ea3982b363935920694662352a0675311e9dffb61a20780021229

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=sha256:4a5ac6331a3b926de2e5de86eb9c130f4831ebf10a9005a8c0ff46b854b01853

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=sha256:94c361afce54c8d4a64fb5cc50bdca6629fd9b2b6ef2fcb868ad0183f41c5e61

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=sha256:407c9329437e2ee284c50e3ea012e1528d738de3ae61361551d59935fa5c9185

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=sha256:0158f068e20c49c20a2bd9fc16da0a5a8ca17fc8fe3a5201deb900cbb447cd9a

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:ddf39d39b914f2e64e06dd9a4937ac0563972045ed7cf8d1ea7d2a21971c45e6

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=sha256:90d2e732d89b165391825843f58ef348eca254c53258e81410365f22b7d7af89

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=sha256:67980c9befd382c667a367fbf79fb872ab979a11c54c8e85be72cec706438dac

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:ec5d6d9c0882b1c9dbd3870a754929c1429dd8efbc8ec9e31b6d03b0536ee347

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=sha256:98c0d7947a35a564546756fe37800b51769a5a22535e5a2faaf60fd9d6f1d647

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=sha256:149c4b07fde6fc06f8bb374cff4dfcedc84d0e3737ae8c96cc821fcca3fbde50

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=sha256:4d58ca88305853b623d855e5725959f88bfcded9db80dab4786aad93f8d00674

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:a8a1cf0df610ecda4115da75375f9316106c82672d0ac9031dc8dee791644f10

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=sha256:3144914ee842ac8d57bd396ce0fbf8d3a12a4c3e0d149db8d4c926d62b8f4ad9

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:a428ebf3c8c5bf005eba5e9ebac078f27600ada7c883b1e4994ff3683dda332d

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=sha256:15d652112590e0a794b3bce1b280503aeae5b1fb70a9e34adcccb7db6a7e0c08

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:ae040e5a0694d008712e73889eeb66884edff6087e316ac5b300487c42733647

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=sha256:0d4342416386cd0a199b3c4e85c1e422661b717d91dd677f6963c0dc551db910

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=sha256:3b34cd4f08d8b5ef405689b0c9ee7836e7d3eab8a9c18e44c7542cf99cfbf538

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=sha256:409972464f6fa9d3d8934b05d5490a181e369191792249821545842cabc8bc39

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:b5469f374ef186046074f61ff6bc198ec3c97365eba00181d1822c53417f3db0

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:aa8503e6a2675a0d8434d17593bef6838546dd20779e5f23d042b4412991c812

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=sha256:9dd32abb2fe82d824cd31faed3ab4877a4230d1d4eb16cade7707d5bd8a0dc3a

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=sha256:5243c436a26d81b008a9f405d2b921b438ca20e835b29c1524acb0f2ff55c92c

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T11:39:36.629516Z digest=sha256:1fd9c700de58aa7e34dc8210126d396aac67eb8010a0a7a66b4578cb735653dd

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=sha256:7df187ae5d784ad8b091ae5fa0fd57efcd1c1dda5b09fc70cc04287eea46df22

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=sha256:5396ead5aabb14f95c000ad3ea8db8b9aecb1ea2793e40ef5cd7897ad55b20e1

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:c4debce1fd1e09350118539e5172477edf2968afd7eab0620f62eb7f3306850a

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=sha256:9372116cbf86aee9f67008d3286482c0f21a48b5a77a6f94fff1ac5c62e4f251

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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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T11:39:36.663460Z digest=sha256:a60e135479bfd71a6b4db53c27aa8bdf0ae1e17df30907feea132eda07d237fc

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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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T11:39:36.668059Z digest=sha256:14b5a44fd7067625389f3efca6c6f8cbe39feba9fa30277ddb62f08e5d645704

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=sha256:0233db356074fcb116229a0abff9ee5ba7dac9ff3bc10a79ea04ae209cccb8db

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=sha256:3e1414081eda7dc504b93a19898123070d78540bf7b53bc843166eb4950469cb

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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raw_fallback, observed 2026-08-05T11:39:39.789044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T11:39:36.682791Z digest=sha256:94970bc7fd20b75e75c4a305b5a0d964a3cdffb0f5e2bce7bbddc8e635f69b84

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:c57b86e47195485fadd44914cd0aba3c269776c1843bffe877a8f22d7c35a51b

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=sha256:06ca891ffa4e6f1e74333f3ec5f3b6b4ac98a95ad37b0f5f1a77e72237a3a87d

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T11:39:36.697145Z digest=sha256:e59bbeeed7c4f666e4dca4a1ce65b9af8f56e3169188b4473295ba8fde28b34e

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:c2ff157a7ac37905e09e32a6ce466e823d1abcbefb2f3f5514c3e3e4adce0632

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:a0f88b8d7ee2e72391691e56eedff52f506ddee63ec1189dee8d5c961d5bd8f7

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T11:39:36.710587Z digest=sha256:9e187a2f19facf8751acf89e80041b0792913f88c1167af7f0a2e22c75c96419

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-reported events for the cited work

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source=pdf_text observed=2026-08-05T11:39:36.715709Z digest=sha256:088a3c885d88f0b161e3ab7832bf1292190291192b7e8acb92f36f73fe339925

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=sha256:85d05e1cf56e21d7110db3d4a99f2bac1575ee2e8b329cb9dd840441768e9e46

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:d88ed923b8d9eeb23f4ef5a9751e8cef0a1c3cc03d650dd5fc474366d8355c3b

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-reported events for the cited work

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source=pdf_text observed=2026-08-05T11:39:36.730162Z digest=sha256:2925284b0696d804171cbff2eb829e5eab28293e5aa4aee54e1f401fb4205c9d

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=pdf_text observed=2026-08-05T11:39:36.734847Z digest=sha256:f4e0e3b9ada9f2ec2edbcf3f42358e0adbbd1ac994d1b886516a955a5cdd8975

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=sha256:51d21fdcec722894a29dfe98f7f6e843c1e0867b8986b12691956587663cde1f

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=sha256:5f4df664cb0396b2325de4495d219442b8587fb1a8923b115cb9f662fca84507

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=sha256:72657c97f43edef09e97d96374b57e1dd3ffef31aac4392e76aa6396dc0b75a3

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T11:39:36.753956Z digest=sha256:844dc043b37a4e9c7182562bd29be8858aa0ad5da52a25b05ebbf6b211d7bac2

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:f85aa4ca7cf55b728a3baa2c176aabb127e1adb41095293b4e1cb46dc0895191

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
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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T11:39:36.764176Z digest=sha256:5f32ead3779af84b36e929a2d6fc1ae39827d1268ccfeab13908d4fa40a8d679

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T11:39:36.769388Z digest=sha256:da5281581aa5f2d76af257efe2d5b9442387b06ebb626d325610f35b7845ae70

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=sha256:645786b9c57fed0b46d39ac5d1454f33d76ba13463fa2643ba2732f55fbd7880

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=sha256:5ee142a85f4127e55ef8bd16c70dd248682c659dbdaa295b39300a4fdedde910

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=sha256:60f30e63d78201b5fc74f322c3e41be57f68bef21022f89260795d278957c46c

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:a84ab429168f8bb99b9d9c7dbacdc3b93615dd7e0e5e4dba383ce2fd135e470f

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=sha256:58c5f0ffd493c378177b3efeec5c372200f6a8a49c304c4774d4e35943a31af1

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:b3082076d8beb6db9c05d18237e4a5c158ce2da1d3aea5155b1d05a1cbd4539b

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:b1e3bc7a24867e6bea07ba488859645a794e4d4d38a2fd0613794722da0a17fd

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:c3e1fea7bc579cc1fb6be46a5972d2363b708da6b9b2eef24eba8848ac006a64

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=sha256:5c6e243b40310e49341146d745e1c708b74a7b54f5ec60752b29e95aab33f5f7

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:fb4bf99575a87031f6b07990af16914885d56cf51b4bf16e471cff540cf2d514

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=sha256:49f3c97f4d35b100d0400cb5826f5dcd0696378780467ccc3ebcc0dc1fb6388a

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=sha256:04907d4027b8183ec1785ffcdc7ff499bd83d096e720145eb74ffe9d452722f5

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=sha256:45e7b6e6809d046ad2384ecd4520cf2ada3721011bb119eae8b4a45d2725d495

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=sha256:32f9ca3c376886b893036378210a0929a3607b3688377ed7b1eca56472fee64b

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=sha256:68070077ee473ff6dde59cfd14997071f254c827f7c40f7927bea77c05efbab8

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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source=pdf_text observed=2026-08-05T11:39:36.846438Z digest=sha256:66cbcdf7ca5fb024c8d8209059f96e2d05ec1c93cc6b9c744c7d8f5f49c0e2b5

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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Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T11:39:36.851125Z digest=sha256:0c27761646260925aad8734868f293381832de990abc73824e2dd84eb3f2d9eb

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=sha256:950e0b1948c630d9a4da5d0a3a495dd06b36b57ad2e528103d15a25ab9231537

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T11:39:36.585785Z digest=sha256:018389823ff8fc65c8f5825344f144ea7fb471f27233e1aa15be1b1fd7bd5819

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T11:39:36.615720Z digest=sha256:f64bdb8682d576fd61e821a058b9f6831cb35e08785d16038ab97a06155eb050

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

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source=pdf_text observed=2026-08-05T11:39:36.609419Z digest=sha256:ebe2ed9137ac194de49b4465ddad7070f6872b85c3fdfa06213465f88b31ba3b

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

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source=pdf_text observed=2026-08-05T11:39:36.634134Z digest=sha256:0906992de7bdd9b15e270cd55b54aa12458c48d9bdb6e3dc4aea1c7e739f1cf6

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

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source=pdf_text observed=2026-08-05T11:39:36.449541Z digest=sha256:f0296388821ab8989e364d11e641a766fa6061a8a0b1b428c189a7b0c3af9a1f

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

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source=pdf_text observed=2026-08-05T11:39:36.422714Z digest=sha256:21e91f28f6821444d10c9a6345508435631536013a1bb70fbcd0dc824be757b8

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=sha256:3627bc87bc1a9e88cbf802a32aa4d5fdeda39140df892c2a905481a96fb45839

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=sha256:3ac3d10318aa3d2e3d46a0c9ac9f151f9eee668e81dcd914e87db20396bf58d6

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:a787df1d1b27138ff3771fc6e4a82eafe124d03afddeca746942c0107b77b119

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=sha256:2db248f1189f878fe79ae663d5c2aeebb397489e09776376584016d9d28a1f40

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:39:36.417602Z digest=sha256:750375b367b1668b05272b364eb51b5f70cc02c6754493d2a85683ea6235694b

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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Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T11:39:36.428313Z digest=sha256:66ec8fac644ff204eb397259640c6363abd49fc37e4319ec65fab3cb1b74deb4

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-21T14:23:44.856958Z digest=sha256:40fdc1f38d1380f0fdabbc24af3ffca868cf294b1c9383350b455ff10cda0449

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:dd3a92311d08abfd52de15bb27d1ff7e0a945dfb4c3e74b0883964d98e2ce697

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=sha256:2a2cc1d9e7316083ff40950eb3586024c5167e55a423d55eda321f65126cdc7a

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

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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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T18:27:36.132030Z digest=sha256:596128b53fa071a5970c4360331d2e2074a5dd51222f05db03160b297c72bf8f

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T04:22:05.341154Z digest=sha256:8bbc6882187dc845ee9903e900dcf1b739f65c8d69c7d3a4c0aead549da0eb33

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-09T23:51:47.724033Z digest=sha256:568d928b915f023851687b44e748f07d063bf7d7224d29503e5a941a7603d863

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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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-20T05:25:51.655208Z digest=sha256:5e9d1117c1356a25b8154360ffb422b78c38f7232fc593ea9ccd158f4886e865

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-21T05:09:37.588841Z digest=sha256:799674bd6ab41246ec68ff0cce5187fa2c282bdc063da32946791ed018a69ebe

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-29T12:43:43.792334Z digest=sha256:f50b28905246e9b9a2c7f2cc7c3ac495a7a81a76f8c55f6263ddda4b27fd6c99

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-28T06:20:42.184829Z digest=sha256:016760f14623cd16d97a65f113aebf61d7f7cea240ed0d439c95d80a00df7747

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-26T00:38:11.619574Z digest=sha256:cdc2a81393bb63268da96a0f7185c54e69d2cde3fa4b7b7a977614a730cc8d1a

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

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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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-01T06:51:41.784250Z digest=sha256:6972bda274a8eb246720a3798ebbbe69b20b58d035b516dacc4ee813f58e6dc9

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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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:b0f6a67fdf189ccf6cb7c49a926676b8b51847f7d5dbbf3c1092cd11944665f5

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=sha256:0fd130b365daf4ff0cecba572103caf6a2d7a1a5113aac108654d741359bb8ae

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=sha256:6b8e879fa0f6ae5dfb251f2b34529b6964ea38c2328456a00957fab626859de9

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:d9335dacc38edb7ef333883093c18339d0c7c981f194a7e80bd243383c9ecc20