Paper Citation Record · LEDGER

Think before you speak: Training Language Models With Pause Tokens

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 44 inbound Pith citation observations for arXiv:2310.02226.

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

pith.paper-citation-record.v1
2310.02226 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 44 of 44 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:18:48.510803Z

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

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation ffa6a240-7238-4739-9f0e-2096a5dc696e · inbound

Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters cites this paper.

Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters Think before you speak: Training Language Models With Pause Tokens

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-10T14:16:23.868058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation bc82b9a3-74b9-40f7-b007-8126939e1953 · inbound

MeTHanol: Modularized Thinking Language Models with Intermediate Layer Thinking, Decoding and Bootstrapping Reasoning cites this paper.

MeTHanol: Modularized Thinking Language Models with Intermediate Layer Thinking, Decoding and Bootstrapping Reasoning Think before you speak: Training Language Models With Pause Tokens

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-23T21:03:26.316471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1f5f740c-529c-4a42-9587-4d242a2e1563 · inbound

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

Training Large Language Models to Reason in a Continuous Latent Space Think before you speak: Training Language Models With Pause Tokens

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:29:05.664360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation fd3878df-ac30-4218-b528-7128b9eccdb8 · inbound

Compressed Chain of Thought: Efficient Reasoning Through Dense Representations cites this paper.

Compressed Chain of Thought: Efficient Reasoning Through Dense Representations Think before you speak: Training Language Models With Pause Tokens

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T04:47:40.381114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 17bb4df8-269a-4240-92e7-b6af97bb8228 · inbound

Deliberation in Latent Space via Differentiable Cache Augmentation cites this paper.

Deliberation in Latent Space via Differentiable Cache Augmentation Think before you speak: Training Language Models With Pause Tokens

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T05:18:48.510803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93094e9b-4986-42cb-aa0d-c6069f91e9f1 · inbound

Task Vectors in In-Context Learning: Emergence, Formation, and Benefit cites this paper.

Task Vectors in In-Context Learning: Emergence, Formation, and Benefit Think before you speak: Training Language Models With Pause Tokens

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T20:15:28.279307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3078aa7-7a85-479a-a43a-83ef3b256ac0 · inbound

DNN-Powered MLOps Pipeline Optimization for Large Language Models: A Framework for Automated Deployment and Resource Management cites this paper.

DNN-Powered MLOps Pipeline Optimization for Large Language Models: A Framework for Automated Deployment and Resource Management Think before you speak: Training Language Models With Pause Tokens

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T20:32:27.597213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad26f8bf-777b-49bf-8912-6e541244df80 · inbound

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

Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning Think before you speak: Training Language Models With Pause Tokens

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-09T05:22:32.565978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13683a71-df98-417d-8737-70c91f2bd21a · inbound

Pause-Tuning for Long-Context Comprehension: A Lightweight Approach to LLM Attention Recalibration cites this paper.

Pause-Tuning for Long-Context Comprehension: A Lightweight Approach to LLM Attention Recalibration Think before you speak: Training Language Models With Pause Tokens

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-09T18:36:36.847098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a505697-7948-4a32-933e-b00d2a86094f · inbound

Skip-Thinking: Chunk-wise Chain-of-Thought Distillation Enable Smaller Language Models to Reason Better and Faster cites this paper.

Skip-Thinking: Chunk-wise Chain-of-Thought Distillation Enable Smaller Language Models to Reason Better and Faster Think before you speak: Training Language Models With Pause Tokens

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T14:32:32.230744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b8ef420-0d32-4d7a-a559-88dbb85524c3 · inbound

System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts cites this paper.

System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts Think before you speak: Training Language Models With Pause Tokens

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:38.221574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd456392-e44e-41ce-bce8-39715e9adb07 · inbound

Knowing Before Saying: LLM Representations Encode Information About Chain-of-Thought Success Before Completion cites this paper.

Knowing Before Saying: LLM Representations Encode Information About Chain-of-Thought Success Before Completion Think before you speak: Training Language Models With Pause Tokens

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:19.638184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a678ad2-fe4c-488a-b99d-81b9d4b172fe · inbound

Energy-Based Transformers are Scalable Learners and Thinkers cites this paper.

Energy-Based Transformers are Scalable Learners and Thinkers Think before you speak: Training Language Models With Pause Tokens

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T20:42:29.670598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a06ac850-4280-4fab-9f07-12874da7d55f · inbound

MADI: Masking-Augmented Diffusion with Inference-Time Scaling for Visual Editing cites this paper.

MADI: Masking-Augmented Diffusion with Inference-Time Scaling for Visual Editing Think before you speak: Training Language Models With Pause Tokens

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T16:48:30.625805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation adae2c4c-54e3-43e1-877d-1c010e58537e · inbound

AnalogFed: Privacy-Preserving Discovery of Analog Circuits at Scale with Federated Generative AI cites this paper.

AnalogFed: Privacy-Preserving Discovery of Analog Circuits at Scale with Federated Generative AI Think before you speak: Training Language Models With Pause Tokens

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-06T15:46:56.781431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02e29b84-6d12-4014-a3ca-f9e661c44304 · inbound

Learning Temporal Abstractions via Variational Homomorphisms in Option-Induced Abstract MDPs cites this paper.

Learning Temporal Abstractions via Variational Homomorphisms in Option-Induced Abstract MDPs Think before you speak: Training Language Models With Pause Tokens

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T15:17:34.903549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ccb2d8f-3e9c-441b-a8e5-66eb0c32ca18 · inbound

Mind-Paced Speaking: A Dual-Brain Approach to Real-Time Reasoning in Spoken Language Models cites this paper.

Mind-Paced Speaking: A Dual-Brain Approach to Real-Time Reasoning in Spoken Language Models Think before you speak: Training Language Models With Pause Tokens

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-18T07:46:03.555461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation bb357db0-d87c-4e5b-92d5-44405ae7569f · inbound

Can Aha Moments Be Fake? Towards Quantifying Decorative and True Thinking in Chain-of-Thought cites this paper.

Can Aha Moments Be Fake? Towards Quantifying Decorative and True Thinking in Chain-of-Thought Think before you speak: Training Language Models With Pause Tokens

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-18T02:45:46.257095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c905c2a2-5a3a-4962-b96b-8c13a3e000f9 · inbound

Can Aha Moments Be Fake? Towards Quantifying Decorative and True Thinking in Chain-of-Thought cites this paper.

Can Aha Moments Be Fake? Towards Quantifying Decorative and True Thinking in Chain-of-Thought Think before you speak: Training Language Models With Pause Tokens

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T07:43:09.543491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31af617b-0c5a-442d-aa30-a65efea124c8 · inbound

Next-Latent Prediction Transformers Learn Compact World Models cites this paper.

Next-Latent Prediction Transformers Learn Compact World Models Think before you speak: Training Language Models With Pause Tokens

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-25T07:25:29.419754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ff79b576-6d77-44a0-9ce4-9722e1e9c4d5 · inbound

Next-Latent Prediction Transformers Learn Compact World Models cites this paper.

Next-Latent Prediction Transformers Learn Compact World Models Think before you speak: Training Language Models With Pause Tokens

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T23:27:54.521220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9780133-3271-4cc1-a15f-c7d98e65aa19 · inbound

ConFu: Contemplate the Future for Better Speculative Sampling cites this paper.

ConFu: Contemplate the Future for Better Speculative Sampling Think before you speak: Training Language Models With Pause Tokens

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-15T14:20:03.343507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ebdfda19-b095-4e6e-b79f-705874614819 · inbound

Representational Collapse in Multi-Agent LLM Committees: Measurement and Diversity-Aware Consensus cites this paper.

Representational Collapse in Multi-Agent LLM Committees: Measurement and Diversity-Aware Consensus Think before you speak: Training Language Models With Pause Tokens

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-13T18:03:04.471785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8fddf0f9-438a-4a4c-9a01-99d6256b44e4 · inbound

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

SeLaR: Selective Latent Reasoning in Large Language Models Think before you speak: Training Language Models With Pause Tokens

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:35:49.487904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9456df79-ae04-4707-a066-ea9cbe63d7d3 · inbound

AI Achieves a Perfect LSAT Score cites this paper.

AI Achieves a Perfect LSAT Score Think before you speak: Training Language Models With Pause Tokens

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:40:57.923772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5adea2f9-71f0-43da-822f-a5f0292f3bdf · inbound

Latent Abstraction for Retrieval-Augmented Generation cites this paper.

Latent Abstraction for Retrieval-Augmented Generation Think before you speak: Training Language Models With Pause Tokens

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:01:04.901647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e1cb126c-a791-4f63-8787-0cac22f0dd1c · 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 Think before you speak: Training Language Models With Pause Tokens

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-05-09T23:54:45.200043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 95303fd2-2971-419e-a343-4aa1ba5f28f9 · inbound

4DThinker: Thinking with 4D Imagery for Dynamic Spatial Understanding cites this paper.

4DThinker: Thinking with 4D Imagery for Dynamic Spatial Understanding Think before you speak: Training Language Models With Pause Tokens

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:41:11.546187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 14890bca-94bc-42b8-a51e-7e46bef1126e · inbound

4DThinker: Thinking with 4D Imagery for Dynamic Spatial Understanding cites this paper.

4DThinker: Thinking with 4D Imagery for Dynamic Spatial Understanding Think before you speak: Training Language Models With Pause Tokens

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-25T06:16:39.972605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2513bcb5-cb0e-4cb9-8484-adb152f34fef · inbound

NoisyCoconut: Counterfactual Consensus via Latent Space Reasoning cites this paper.

NoisyCoconut: Counterfactual Consensus via Latent Space Reasoning Think before you speak: Training Language Models With Pause Tokens

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:41:24.271480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6d9cffc8-9a1c-4cdd-8fe1-de69bb944101 · inbound

Dynamic Latent Routing cites this paper.

Dynamic Latent Routing Think before you speak: Training Language Models With Pause Tokens

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-15T01:49:38.166124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e73dcb0c-bc57-4262-be13-37b3b997beb4 · inbound

TTE-Flash: Accelerating Reasoning-based Multimodal Representations via Think-Then-Embed Tokens cites this paper.

TTE-Flash: Accelerating Reasoning-based Multimodal Representations via Think-Then-Embed Tokens Think before you speak: Training Language Models With Pause Tokens

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-20T18:03:36.924513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5ebad7b8-378d-46e4-8739-421ce11244bf · inbound

LatentOmni: Rethinking Omni-Modal Understanding via Unified Audio-Visual Latent Reasoning cites this paper.

LatentOmni: Rethinking Omni-Modal Understanding via Unified Audio-Visual Latent Reasoning Think before you speak: Training Language Models With Pause Tokens

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-22T06:36:10.403900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ea4364f7-53ee-4e8a-8c6b-a6a3648f7921 · inbound

Transformers Provably Learn to Internalize Chain-of-Thought cites this paper.

Transformers Provably Learn to Internalize Chain-of-Thought Think before you speak: Training Language Models With Pause Tokens

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-06-29T14:33:30.553941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3fe1e73e-24e8-4977-847e-97303368ee51 · inbound

MIRAGE: Mobile Agents with Implicit Reasoning and Generative World Models cites this paper.

MIRAGE: Mobile Agents with Implicit Reasoning and Generative World Models Think before you speak: Training Language Models With Pause Tokens

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-02T08:06:48.304321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 94387795-7d27-4bc0-b471-24a2fb05b2e4 · inbound

Test-Time Compute Scaling for ASR with Depth-Conditioned Looped Transformers cites this paper.

Test-Time Compute Scaling for ASR with Depth-Conditioned Looped Transformers Think before you speak: Training Language Models With Pause Tokens

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-07-02T07:26:45.923378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3915c544-a9a2-403f-bf09-b28b7487b39e · inbound

Why Limit the Residual Stream to Layers and Not Tokens? Persistent Memory for Continuous Latent Reasoning cites this paper.

Why Limit the Residual Stream to Layers and Not Tokens? Persistent Memory for Continuous Latent Reasoning Think before you speak: Training Language Models With Pause Tokens

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-07-02T17:47:17.690706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 49f8842d-9840-441c-ba72-947b02449465 · inbound

Forecasting Future Behavior as a Learning Task cites this paper.

Forecasting Future Behavior as a Learning Task Think before you speak: Training Language Models With Pause Tokens

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-07-03T06:07:41.342134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f024309d-532c-49f1-b1c4-c01e18d6225b · inbound

Demystifying Hidden-State Recurrence: Switchable Latent Reasoning with On-Policy Reinforcement Learning cites this paper.

Demystifying Hidden-State Recurrence: Switchable Latent Reasoning with On-Policy Reinforcement Learning Think before you speak: Training Language Models With Pause Tokens

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-07-03T13:58:22.055865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3b16d7e7-ecc1-40f8-852d-752cca32ef64 · inbound

Does Verbose Chain-of-Thought Really Help? In-Distribution Evidence that Content, Not Length, Matters cites this paper.

Does Verbose Chain-of-Thought Really Help? In-Distribution Evidence that Content, Not Length, Matters Think before you speak: Training Language Models With Pause Tokens

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-06-30T06:54:21.082071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7d02fbc4-be96-4efa-8a32-adcc046593f5 · inbound

HALO: Hybrid Adaptive Latent Reasoning for Language Models cites this paper.

HALO: Hybrid Adaptive Latent Reasoning for Language Models Think before you speak: Training Language Models With Pause Tokens

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-13T08:04:15.548790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51fd1338-e877-4b76-9ef7-4fb9d4d55b48 · inbound

DeepLoop: Depth Scaling for Looped Transformers cites this paper.

DeepLoop: Depth Scaling for Looped Transformers Think before you speak: Training Language Models With Pause Tokens

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T05:05:25.293025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40798c7b-bb3f-46c2-8587-b87bc6d2b770 · inbound

Is MoE Routing a Huffman Code? Discovering the Frequency-Diversity Law in Chain-of-Thought cites this paper.

Is MoE Routing a Huffman Code? Discovering the Frequency-Diversity Law in Chain-of-Thought Think before you speak: Training Language Models With Pause Tokens

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T14:39:31.073737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4fbea894-1da0-4fe5-8aa6-8d0816cc42a4 · inbound

Not All LLM Reasoning is Visible in the Chain-of-Thought cites this paper.

Not All LLM Reasoning is Visible in the Chain-of-Thought Think before you speak: Training Language Models With Pause Tokens

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T04:14:43.722684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.