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Paper Citation Record · LEDGER

Implicit Reasoning in Large Language Models: A Comprehensive Survey

As of 7 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 2026-08-06T06:34:29.942622+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=sha256:7b6acbcf8ac337fdebafc485ce132a8bc4802d2e60c9bd817ad343b647f457c1

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:da6f472449bb2d02e6b44e89b0c704d4eb8354a603de745ba5260651ad44c254

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=sha256:4e1915f2ff68836cfcf1b80276ba3c71bcdaee1b9cb96710ffd86fe46a35ff0d

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:d16528cadacfa8e27e69fa767df05bc860222ba25989039f81baa4da6ddb0107

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=sha256:30a5f90a381c7f19293c91d02bc83fff766d5134ba0563170a89f843e64c85c8

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:a943fe44a5b6b2ea9b0a3e6c64badf5791b8186876bbbd713e2b30f72b46ef94

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=sha256:2ed52945d0723b66a54dc6edeabd727383764799a568742b5f58bf529afccd29

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=sha256:50f5296a4edc5d5f8dd252f3005fb57ace8a64a38ed3744e370fae2d0873a1f8

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=sha256:78eb6d6125c90dfafe57237bc71b252f19eeffacaee9e43f9cb43507ffd84285

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=sha256:2a355b75d7272ed7b2e218a392665218ae3fc63630e9b487aed37efded5d0b56

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=sha256:012fc49895ef99a38fb9f7aecff68e5452b7d78a38c191be2c53c448548f227d

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=sha256:296dc89d91ab0502a1f710a556ca74ceed135ef344a7d56bc1db70fb01a30b54

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:ebf5cb8edc68451ce863b8c44217ac587800a360d28033b6328239f77d2f4709

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:ffa81d666254f37d6fc9be8ffcc5b05b3f2986c6adcf9da0ccce545247763de1

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=sha256:7c05663fb5475fc863be33f13858e826a604fea0fdd18f74a7b0d9e4fb111ce6

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:dfd0edc4cd65c7e5289e197eb895add95ade28ec5443aeb3d5d823436eedca06

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=sha256:506c0c431fbe48517714c67869d3b9ed21689130a319e2a2fa6a6866efb7b846

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=sha256:5274900ff6ab3587a428832ecd10a918d685b7b94c00b8fe6cdc52421f507123

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=sha256:2d99ff605a17be609187498e0d610c860d7fc0adbd4e9a8d6515d5c33b3ef9d3

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:b9bdd4485f6ab8c87a796cc472bf6bf33f05de0499cb89ebdc0fa016ac120a3a

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=sha256:190787d99cf9dee75e5a799d6513c519ddd61ed6f61987bb66e7ebe61a1f00f4

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=sha256:00b70a1aef52b697571d258cfe1afba081c27cc7847ea0f19baf624045d0f568

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:a41279a6a8d3cd1fee8e4065eedb29962c5a09c4f67f8e2c374c1cbe39ea1cbc

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=sha256:422b85493960930a849d3ee4861ca5f9515555102a41cf11ea24bb366f90687c

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=sha256:8794dcf0574fc387f8bacaad04f1cdfc496e1e6e00f0237297b1e89fae40b618

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=sha256:840a336e50943bc359789d4719d5313e562cdf157939b364cb0d1e217aa7c5a5

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:e9b4407cbfe5b6c6bb5ef12a7f94df802c94427df166ee75d6d287005d970dff

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:b1aa66c675b621fb6d6c99494744aded5466a8a718429d259171362cc07e70ad

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=sha256:032db7dadea8b27845bdb74075237c9977a014ad768a0fba453a12cc6582e94b

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:b21211c0015a5da237a083a094f2aa05cfa45794e544e481f09ff01f87016d52

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=sha256:30e2fd535810625cdef0b8aa33b3b51bf5fdd57f094f7a1f472dd781c4d5296c

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=sha256:200d994e9c76ee4486171e08aebb8cb6750941a7b79dd93a63fbf18e906a51fa

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T11:39:36.629516Z digest=sha256:2112374dfad9134a02db60df5116182448cd50269b2c14f1ae2a39259fca848d

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:d612ecc63a9ce17ad71fd5da82498564dacbaeace3e4c7f4e4f10b27c4697bd9

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:bfcf617b1ac2bf42550e99cc96de5489a9b731eaddad791495581b360cfc5768

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=sha256:102c6832ebf66a0b9e22c32d851f39c2f21e7feebf37fa7f6497c578eeda3192

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:e957323e280c57cdd7beb0a858e8685f2c74aafc15eaaab988db37de76f7e35c

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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raw_fallback, observed 2026-08-05T11:39:40.065961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T11:39:36.663460Z digest=sha256:ac70399d3ad193268036b4542be80ffb76892c6ca63bfed83f2d5bcc17b41711

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T11:39:36.668059Z digest=sha256:162109e503e57d6078d7c6acfe32fb0f854b128606a1350c3694c815864793d9

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:ea4d8b80843dfb1c8397c431f3e550c51446f6c47d72483b35db3c4612de3249

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=sha256:6aa8b752d9ad06e72c66c5d921618aeadcee9f4718cd62e2fc72d9d593c4e872

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T11:39:36.682791Z digest=sha256:09e17e21ecc8a759f3611435fa950e1ed97056ea436f0db6d0aabf47185f32c4

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=sha256:1b04086d2249294d430e40beb2bdaee6a07015af8e1d6f5d2bc4c98efc953317

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=sha256:0e9cc4fe6418181dffea5c0e9c61cbff415c9ed0729b89a90fff5a94c76e0d50

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
verified fuzzy
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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T11:39:36.697145Z digest=sha256:3e4019829df2735e03c183ae0f019a455c80f82381eb7aef1443f22e89a25071

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:39:36.701511Z digest=sha256:380f3806277e815987a37c2f33749a269bf3d9ef45fed6f8f1457405c6e3b02b

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:d42ab7c9b813123e4e916ad8d03f149c33bcd3a8ea5a16c711895063c949a30b

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T11:39:36.710587Z digest=sha256:f8e49167c4d7a51ca16b2589a15e46a39998417b6b40882f50daf3021d0d7736

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

Resolution
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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=sha256:8dbca8970915928a4b056f39da07bd074da91bbd1ea32686ac3da36158304bcd

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:fff324bc340944e85c458e3894ac6c72a763128870b26415bb58151102e59dbb

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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no resolver link, observed 2026-08-05T11:39:36.725363Z

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source=pdf_text observed=2026-08-05T11:39:36.725363Z digest=sha256:aadd886553f26af419be74a86cddcf39e6dd204e782cfb53166e0483e857b0a0

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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no resolver link, observed 2026-08-05T11:39:36.730162Z

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source=pdf_text observed=2026-08-05T11:39:36.730162Z digest=sha256:30deadc4d8b021a02ee119e2befa1ce9d0d43988668511da4d2d97be2ac2b093

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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no resolver link, observed 2026-08-05T11:39:36.734847Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T11:39:36.734847Z digest=sha256:7df39c1ff246f6df6789a47a5dd7e873e9e0110a9d69a9b3e06a707208182572

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=sha256:649b464fda0b7a57c9700272bdbe15658c89bde4a8fb446522cc570427703007

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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no resolver link, observed 2026-08-05T11:39:36.744945Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T11:39:36.744945Z digest=sha256:82017f9c2f3cd593160eecb0b02e6410b91e8a11117834385d0ad4cda9da1dfb

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:d51aa3528cb9917d2669a045088b8d11b5778fea7cc99e82da117aeef71c68d3

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T11:39:36.753956Z digest=sha256:1962d8c0e538980a3615a303f7bef91939e3c9d5fd41376b32efa7db0cdbfb1d

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=sha256:86d519a55f941966bca5931d8161baa652b9f7090bb05ff53501a87b1c18f283

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T11:39:36.764176Z digest=sha256:ec2cd6ae9c844457fd674b873edc3a9aa4f43f1c615debcc974aa48095b7b5c7

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T11:39:36.769388Z digest=sha256:d6d0fddb16ce0861b67c6e1d8d3512f2ca949407dc5b821daa28fd2f4571b528

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:d8c1bd34d178a30a069fb4eaad572c139e4a61f4d97d98e0a951402b791a1105

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=sha256:42861ef1b25039d23a7ce015d0f9ebfcefdbd04bcda2925255742f5132d23119

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=sha256:8ccbbaf46e502e8e273c1c2982a8c6bbb112308d07038799671dd462f6820c00

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:d195ec8633b719ded94216636127ee8cf5a13259a20cddd03eb60099a433dc5e

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:dfb2a20f6997c27e802f2535618bf1938f51215a32b47664a183cdae7271ce18

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:eb350bc0f9e69894b0f5df7bbc2701741911ba97c56fa5c73b93b4bd5f426005

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:d1e53a9263c1bf0fbf57d912d597a2959b379fc4ace855d1b49d7134257511fa

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:e2e22685083ac7fe454341dc2478f02223b5a2c3a22f3548b5efc3926f89acfe

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=sha256:2190fa3acdec34ea6a499c8e734e869f76c98a46288eaa3bfbb27c99eec4726e

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:adf8ea5fcfbf5dc16f785f6f8eb02ecd8cd9a91aaf6af55596b54dfe4255b519

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=sha256:586ce6dec95e87c98fd507409e30161c9209d5844f0b6e77b2df51a727b2067c

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:bb9073f93bbb6d029261cd780c95d2c0142e1209513cb019a19759089113604a

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=sha256:09c00122565f2e83ac61d26df8f818a5f8d8d67f3ca17c6bf440dc389c11d005

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=sha256:90786af3e5605d29cd4d30f2a7a7491c16c231b108a432ff6e7c649d4d3f7919

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=sha256:87654e4d8be378b54c73d73630e1276f42c7b6641cf9f8550c5fc3134cab2ab9

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=sha256:059f9864dd3b0624e56f2ad34d27dc09e40676934e70a9eba21995168f0306ba

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=pdf_text observed=2026-08-05T11:39:36.851125Z digest=sha256:1564c296a39e9383d1a7c41f007209337a42675b76d2511e0fb5dc4335c6040b

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=sha256:80a3e040498fbb2be1742abb98f028a79732662ba752bf1bb26b5ddb65619624

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T11:39:36.585785Z digest=sha256:b0febe676704708635167ed0736f89e57901f634c23031b8d0c666eae4942e37

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T11:39:36.615720Z digest=sha256:c18d1bf06d77212610dba3dae0cf7640be11aff5af7b0bdb0dbaaef55697ff9f

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=sha256:3971b2ad809fd0e65c7a18506fdaa71f45da6f0bc94c634ccce3c676a355867d

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:aac20c77f9b2a34597e95e1404df9f026bceab7ea89844de4be9e1ebbd6101b5

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=sha256:87b93a87ebe4f444826470dfbe311c1bc4efec8dfc3fe1f2f16f6708e3d215b0

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=sha256:1a5c2cb8ea17506571908215ee102e9004da1b4a472206c03460af8e8a74e559

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:d45eb56d057069ea70c9cb4d7e0461f553c449d8743cf1e2b41b2413ab3d776f

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:39:36.433923Z digest=sha256:50b172293e641cd37a7d86da07658db6277981aaafb331e21f160fdbb7626529

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=sha256:9dee70544f4fb184856102709dc8572582c520666a3581cf0554e2c799865f37

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=sha256:294a66b96ed049d060c720e8d402f6c54e22536866758d7996ffe8963e062512

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=sha256:0606bbc07435ca9d951c631333102e5cf6b7dda2fb9e96c7ba557e3e61b2eda3

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

Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T11:39:36.428313Z digest=sha256:51c8208d4a8ecb2f78f2f44eac68b53ce3a6ac025e4809498fa070d7fe9cfa1f

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T14:23:44.856958Z digest=sha256:22f187be256355f69df92b47bb6c92e40eed1fef5254c43b3292962210ec584b

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=sha256:79c05a25078640462d2008a8199438a2130bc2bd9c3d45a512fcdeef13442935

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=sha256:9a103502a481b8a3ae8dcc63ed97012fc11ee9a5dd167587672c7817e131eeb2

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 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T18:27:36.132030Z digest=sha256:bfb3f3d379f0806e97261db1b690150041d5ca6671f58c8eef9cecbc09169d47

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T04:22:05.341154Z digest=sha256:3618b00635c38f764e088c44f72753f9b6ed1945ec5eec102e895b51694d466e

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 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-09T23:51:47.724033Z digest=sha256:d5598f9058e842793549381b9b4e07b0b97f697cd2a5e76f601d96052fda1b05

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T05:25:51.655208Z digest=sha256:c1a088a6de96de701bee444cae70a820477d5ab71f6a25f656095cecb8bdde77

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T05:09:37.588841Z digest=sha256:e9d887f91a6222453ece00dfe3cbfb146aad564ed8eb2f7c6d9f0f431503eb50

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-29T12:43:43.792334Z digest=sha256:617f369f862faad95c7a7a6816791050c1305bbee859435e756144d3812820c1

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 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-28T06:20:42.184829Z digest=sha256:d5b5caf7d400f2444429e6927fbd65290c825b533a382194b0688814b41019f2

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-26T00:38:11.619574Z digest=sha256:f27cc28a14e42729f183608edfc4b7b60410e6f35c34f9928732221256b571fc

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 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-07-01T06:51:41.784250Z digest=sha256:69660b254f637f3fdc40661539ca1cef45ea624a37c421ae466bc9e913996bd9

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=sha256:9636c66542cabf4126a6e44e76524c6dbaefbbfce1e4bb86671b8f566a358567

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=sha256:385af49171a4403412e8f4e60df72a468c751e5fa2ba1aa8a2276f630ed5b261

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T11:20:17.811223Z digest=sha256:cf8a8a3614d71e3960fd82fa7ed365808645b430eefe07106c03bbd1d076712b

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=sha256:97915ef4d8f772428b5f4903f484f872f7982fe718146cc716cdbc51c256f9f0