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Paper Citation Record · LEDGER

System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts

As of 10 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 11 inbound Pith citation observations for arXiv:2505.18962.

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

pith.paper-citation-record.v1
2505.18962 v3

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:27:40.824280Z

measured 64 of 64 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:14:31.820848Z

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

53 of 53 outbound references displayed

  • verified exact0
  • verified fuzzy3
  • unresolved48
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

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

Outbound references

Observation 5848c06b-c38e-4cac-8b2f-f64eb28c85b7 · outbound

This paper cites Phi-4-reasoning Technical Report.

System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts Phi-4-reasoning Technical Report

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:27:37.455632Z digest=sha256:dcc71a2ba449c3407f18a936a017fa52a803d5f0a6bd5fd9d88182be1bdb7b18

Observation 81ac1688-4c1d-4fed-8035-225b65038707 · outbound

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

System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models

Reference 4

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source=pdf_text observed=2026-08-07T14:27:37.600371Z digest=sha256:5f5badb66a8defcf7b9cae3a93f716dcda57c7afe633e770bac3ddd4273a7e35

Observation 3fd82146-558d-465a-a686-8fa8adea05ba · outbound

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

System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs

Reference 5

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source=pdf_text observed=2026-08-07T14:27:37.693874Z digest=sha256:baef63e6b9e70afca88042a7de16a4bffa78fe5e0dce4934d98b65e26db924ba

Observation 74d1198d-6bec-407b-a181-62ee659db5e5 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts Training Verifiers to Solve Math Word Problems

Reference 7

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T14:27:37.795336Z digest=sha256:70a84d244be02122d38700ae8b115dc9a6deb1b8e51ffad334b26bd4f3208dff

Observation 4fc2f93f-3353-4a46-a0ed-941c53a1bb70 · outbound

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

System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts Implicit Chain of Thought Reasoning via Knowledge Distillation

Reference 9

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source=pdf_text observed=2026-08-07T14:27:37.921323Z digest=sha256:8dba3fed8f18c956d777a9a2f00f2f9416ea2527cd07dd6e3f72ec2ed610262b

Observation 9df8a185-99e7-4c7a-90a4-560deeab301a · outbound

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

System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts From Explicit CoT to Implicit CoT: Learning to Internalize CoT Step by Step

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:27:37.973606Z digest=sha256:6f79012654a169798f6be3787c7eea67bfcbb80afd5bbd91f32f8ad469e1ad79

Observation acd29e4c-0339-438e-a6d0-c30b2e11c871 · outbound

This paper cites Depth-Adaptive Transformer.

System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts Depth-Adaptive Transformer

Reference 12

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source=pdf_text observed=2026-08-07T14:27:38.108161Z digest=sha256:1380a84bb9ef203e264b1351ed8a18c8d28aa4f1aad943234f5f918815b65a33

Observation 6db0e2b9-1de1-47ed-84f4-c4bd503631df · outbound

This paper cites Efficiently Scaling LLM Reasoning with Certaindex.

System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts Efficiently Scaling LLM Reasoning with Certaindex

Reference 13

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no resolver link, observed 2026-08-07T14:27:38.131067Z

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source=pdf_text observed=2026-08-07T14:27:38.131067Z digest=sha256:0d105149ede5f0904d325fd12cbc113d9735f6183c3ae043b34a4746023d6949

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

This paper cites Think before you speak: Training Language Models With Pause Tokens.

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

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source=pdf_text observed=2026-08-07T14:27:38.221574Z digest=sha256:6802d6d7ab8f0a17a06630aba9b27decb7c35458644c47c7f0f97396f9f771c5

Observation c4c9990f-8924-4956-bd17-f1e652c1a9cb · outbound

This paper cites The Llama 3 Herd of Models.

System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts The Llama 3 Herd of Models

Reference 15

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source=pdf_text observed=2026-08-07T14:27:38.293838Z digest=sha256:b84dcede6e18e62e8dc4fbb76c8982602ff425d4ca28710fca05ba3fa7adee62

Observation 16d9d7d8-6c9f-4cea-9e02-a9a00357c4f0 · outbound

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

System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 16

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source=pdf_text observed=2026-08-07T14:27:38.338715Z digest=sha256:3c7d139963ac9928008c375c60323342c99bb1439d3a70ce6647a8399036e601

Observation 1b513e99-c8f0-49e9-9f02-58d9dc0cd52c · outbound

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

System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts Training Large Language Models to Reason in a Continuous Latent Space

Reference 17

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source=pdf_text observed=2026-08-07T14:27:38.396890Z digest=sha256:c8b326fb01d0f39ffe92209058a925d4979d40e84951855775769c62065864fa

Observation 743ffe26-343e-40b1-a38d-a50d2dc9da90 · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts Measuring Mathematical Problem Solving With the MATH Dataset

Reference 18

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no resolver link, observed 2026-08-07T14:27:38.503108Z

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source=pdf_text observed=2026-08-07T14:27:38.503108Z digest=sha256:8cfd6e7cf8574e56cf73f4e50778cb3c984f4c43194f1cdf04caf7f3f1cac97b

Observation 5f9e6d35-ce26-4304-8fba-53f73f390992 · outbound

This paper cites MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework.

System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework

Reference 19

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source=pdf_text observed=2026-08-07T14:27:38.548185Z digest=sha256:3861203bc317c995df08609600c3f7a252e704fdbfe34dfb1310d2af5379bc8d

Observation c38f2024-d125-4512-b1d6-761f5dcb24ee · outbound

This paper cites GPT-4o System Card.

System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts GPT-4o System Card

Reference 20

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source=pdf_text observed=2026-08-07T14:27:38.605484Z digest=sha256:4c8e52ded35dcb35dea8502f07d86ce9ac539a60094014a6794dacc2d743ffe3

Observation 57a084be-ccc3-4ba8-ac1d-c4449c2d814d · outbound

This paper cites OpenAI o1 System Card.

System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts OpenAI o1 System Card

Reference 21

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source=pdf_text observed=2026-08-07T14:27:38.707052Z digest=sha256:c73c88a8915a6c8546a32e24a5085f3fff7bdc9675729f0a3e2c2930a22fc849

Observation 2317e485-68da-4c86-a1a1-c0f17c5fdfe7 · outbound

This paper cites LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code.

System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code

Reference 22

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source=pdf_text observed=2026-08-07T14:27:38.756419Z digest=sha256:d68e0b2164461b7a57605dd4cd2bf789bbf4468b9ba9ece13d84c0b9e5a42486

Observation 24940b15-2dc1-4e58-a145-45fad6f03605 · outbound

This paper cites Mixtral of Experts.

System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts Mixtral of Experts

Reference 23

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source=pdf_text observed=2026-08-07T14:27:38.801709Z digest=sha256:0344d317971bf369c506600824b46be70508d73e8366b2eb25f2e7f74b2e17b6

Observation 4de83bff-2522-44bd-9076-44718cff0fa1 · outbound

This paper cites SWE-bench: Can Language Models Resolve Real-World GitHub Issues?.

System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

Reference 24

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source=pdf_text observed=2026-08-07T14:27:38.841325Z digest=sha256:e4eb6d230e45a59c150b5b7dfb3b1aa14e33269d3656b93546fe079000688e55

Observation 30336f93-f526-486f-a932-954128d5133c · outbound

This paper cites How Well do LLMs Compress Their Own Chain-of-Thought? A Token Complexity Approach.

System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts How Well do LLMs Compress Their Own Chain-of-Thought? A Token Complexity Approach

Reference 25

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source=pdf_text observed=2026-08-07T14:27:38.910871Z digest=sha256:1529796eace1a9ac51a53ba45b70a0b5598036de15a9ba8b8f612c59067fbe2e

Observation e9e03904-b82e-41f5-9f09-5d9e98facccf · outbound

This paper cites CascadeBERT: Ac- celerating inference of pre-trained language models via calibrated complete models cascade.

System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts CascadeBERT: Ac- celerating inference of pre-trained language models via calibrated complete models cascade

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:27:42.127710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:27:38.982830Z digest=sha256:a9accbe0fd8d87f61d1f50d8ca017df9f9e191f7e648e35c0c4f3c5c0293bc12

Observation 62f8d6db-6fe2-40e3-9deb-8086f15748cc · outbound

This paper cites FastMCTS: A Simple Sampling Strategy for Data Synthesis.

System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts FastMCTS: A Simple Sampling Strategy for Data Synthesis

Reference 27

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source=pdf_text observed=2026-08-07T14:27:39.037172Z digest=sha256:84d3f530eb48e3aadd44001a12ad851348600a6292ec9856fbf849ea2a7fae89

Observation 9f0812b9-235b-422f-b9ab-e94d32a581bd · outbound

This paper cites Can Language Models Learn to Skip Steps?.

System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts Can Language Models Learn to Skip Steps?

Reference 29

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source=pdf_text observed=2026-08-07T14:27:39.117278Z digest=sha256:e9ec65feec4aaafebade88241005f83dcabdbe4726e46a8e5f7461634783f8a9

Observation 61f4fe8f-4ddc-4580-962f-f96e487ae712 · outbound

This paper cites O1-Pruner: Length-Harmonizing Fine-Tuning for O1-Like Reasoning Pruning.

System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts O1-Pruner: Length-Harmonizing Fine-Tuning for O1-Like Reasoning Pruning

Reference 30

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source=pdf_text observed=2026-08-07T14:27:39.212804Z digest=sha256:e8c9a029bb085ef905355c336af3f3e0a51d027356a31775de8bf1ead10e97ae

Observation ce203dd6-3eff-451c-9814-9cbfab9f22e4 · outbound

This paper cites s1: Simple test-time scaling.

System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts s1: Simple test-time scaling

Reference 31

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source=pdf_text observed=2026-08-07T14:27:39.275177Z digest=sha256:424aa9d36623b81dfb731e0063315e13777fb51d4acef2b108ed651a5b5c7b37

Observation 4693b956-7d98-4bf8-a54a-9b9992f85407 · outbound

This paper cites Let's Think Dot by Dot: Hidden Computation in Transformer Language Models.

System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts Let's Think Dot by Dot: Hidden Computation in Transformer Language Models

Reference 32

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source=pdf_text observed=2026-08-07T14:27:39.319606Z digest=sha256:02073e67d6a3a9b87b69e697a5e598ea543ad45383436f3273b05a34f64679b5

Observation 44b8a495-d054-4d61-a300-2a61ada166fa · outbound

This paper cites UI-TARS: Pioneering Automated GUI Interaction with Native Agents.

System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts UI-TARS: Pioneering Automated GUI Interaction with Native Agents

Reference 33

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no resolver link, observed 2026-08-07T14:27:39.402660Z

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source=pdf_text observed=2026-08-07T14:27:39.402660Z digest=sha256:7c6f6f143ac175a9680f9f2f0b76550c482a6385634f297cae9edee829faf4d5

Observation a6a9371d-d0d8-413c-8788-8d01a5922c1a · outbound

This paper cites A survey of efficient reasoning for large reasoning models: Language, multimodality, and beyond.

System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts A survey of efficient reasoning for large reasoning models: Language, multimodality, and beyond

Reference 34

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no resolver link, observed 2026-08-07T14:27:39.500185Z

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source=pdf_text observed=2026-08-07T14:27:39.500185Z digest=sha256:8b6ea2f5d65c2eb54bfd1caf3c26e898d58acefefcf6eaa1f1a6fac26cfa161a

Observation 2383e972-0fb0-438a-8cd1-dd286dfd0d9f · outbound

This paper cites System-1.x: Learning to Balance Fast and Slow Planning with Language Models.

System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts System-1.x: Learning to Balance Fast and Slow Planning with Language Models

Reference 36

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no resolver link, observed 2026-08-07T14:27:39.636881Z

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source=pdf_text observed=2026-08-07T14:27:39.636881Z digest=sha256:61490e803d7d1fc845466f2c780c3e6f71e2c36d22b8effcaaaa0bdb10f3f5f7

Observation 03421924-c484-4d77-861e-81bb372c4e4b · outbound

This paper cites CODI: Compressing Chain-of-Thought into Continuous Space via Self-Distillation.

System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts CODI: Compressing Chain-of-Thought into Continuous Space via Self-Distillation

Reference 37

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no resolver link, observed 2026-08-07T14:27:39.701364Z

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source=pdf_text observed=2026-08-07T14:27:39.701364Z digest=sha256:57c6458c742066b505bc6465d6da2f307d283523f834537ad4351e26a4635faf

Observation 5cdf7061-fab5-4b21-862f-b9629b19a2e0 · outbound

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

System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 38

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no resolver link, observed 2026-08-07T14:27:39.767348Z

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source=pdf_text observed=2026-08-07T14:27:39.767348Z digest=sha256:bbac11cdf7584d8d1f803aa0dc0896686268117487c1312d1a471423f68e35a6

Observation c5c0f5c7-b262-492c-a499-18a3a9c475af · outbound

This paper cites PRMBench: A Fine-grained and Challenging Benchmark for Process-Level Reward Models.

System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts PRMBench: A Fine-grained and Challenging Benchmark for Process-Level Reward Models

Reference 39

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source=pdf_text observed=2026-08-07T14:27:39.822263Z digest=sha256:5609e89f4b3b76e77762d287a2e33b8791200ff105728b807c3b1c909ee8aa40

Observation 1b4f20bd-d0ef-4478-bcdd-19e9895222aa · outbound

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

System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning

Reference 40

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no resolver link, observed 2026-08-07T14:27:39.873922Z

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source=pdf_text observed=2026-08-07T14:27:39.873922Z digest=sha256:ef3a9880d42c110a79f87cf3c4962dd325c9111879c4d28ce0f1d020769ec638

Observation 758dd67e-7998-4950-9013-1b41fd9074af · outbound

This paper cites Visual Agents as Fast and Slow Thinkers.

System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts Visual Agents as Fast and Slow Thinkers

Reference 41

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no resolver link, observed 2026-08-07T14:27:39.938420Z

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source=pdf_text observed=2026-08-07T14:27:39.938420Z digest=sha256:68a7bd2500c1f22ba5b88eb09af570106268c85b8d39cef62f7b692572b8ee71

Observation 6f7a952c-4767-41bc-9229-d9b71c45b1a3 · outbound

This paper cites Kimi k1.5: Scaling Reinforcement Learning with LLMs.

System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts Kimi k1.5: Scaling Reinforcement Learning with LLMs

Reference 42

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source=pdf_text observed=2026-08-07T14:27:39.982165Z digest=sha256:44d5edf01ae83f98f072e08175216cff22e665b4d19c9be90ef392175e028c80

Observation dfa57ba7-092c-44fa-a466-eb005e7e5e31 · outbound

This paper cites Octo: An Open-Source Generalist Robot Policy.

System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts Octo: An Open-Source Generalist Robot Policy

Reference 43

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:27:40.050655Z digest=sha256:465928c57b9caf9aeee3d0cc0e4888275a3260582c5e4ee89557e04765376892

Observation 5d7326a3-2984-4bc1-8e74-c30d5e97be17 · outbound

This paper cites Fengwei Teng, Zhaoyang Yu, Quan Shi, Jiayi Zhang, Chenglin Wu, and Yuyu Luo.

System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts Fengwei Teng, Zhaoyang Yu, Quan Shi, Jiayi Zhang, Chenglin Wu, and Yuyu Luo

Reference 44

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source=pdf_text observed=2026-08-07T14:27:40.136536Z digest=sha256:f496dabcbea4a89ae893eb7987ae8fdc94a3665c8d246a8959757816a2a8de02

Observation 6aa270eb-e45e-446b-a63e-90d4ae115b53 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 45

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no resolver link, observed 2026-08-07T14:27:40.209509Z

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source=pdf_text observed=2026-08-07T14:27:40.209509Z digest=sha256:5af12d815c41be86df70c71b9103bf69eb377146250b1bbfdcf96b6f5ea95983

Observation a22feaca-88a2-4d54-a362-70d0ded6d319 · outbound

This paper cites Accelerating LLaMA Inference by Enabling Intermediate Layer Decoding via Instruction Tuning with LITE.

System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts Accelerating LLaMA Inference by Enabling Intermediate Layer Decoding via Instruction Tuning with LITE

Reference 46

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T14:27:40.289463Z digest=sha256:79ee4476631900ca5c7dacf48abe8f1753c44fbe46f16c135966e0ad2c23a697

Observation 012c12c5-a2ba-4214-831f-66e9b29817aa · outbound

This paper cites Voyager: An Open-Ended Embodied Agent with Large Language Models.

System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts Voyager: An Open-Ended Embodied Agent with Large Language Models

Reference 47

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no resolver link, observed 2026-08-07T14:27:40.368175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:27:40.368175Z digest=sha256:54c4ef2c9e61c74e4133c1b1d904ec3964536c6331d90ce0c523bc483088d691

Observation 510b546f-6bfb-40fe-95b3-78f93bc0b10d · outbound

This paper cites OSCAR: Operating System Control via State-Aware Reasoning and Re-Planning.

System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts OSCAR: Operating System Control via State-Aware Reasoning and Re-Planning

Reference 48

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no resolver link, observed 2026-08-07T14:27:40.429087Z

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source=pdf_text observed=2026-08-07T14:27:40.429087Z digest=sha256:d82770e85e833df4f7297d591ba1e882447a8c4acfd4b1223a13618508c52368

Observation d11483de-c4c7-4fb6-8f5f-6973a98baeb8 · outbound

This paper cites FAC 2E: Better understanding large language model capabilities by dissociating language and cognition.

System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts FAC 2E: Better understanding large language model capabilities by dissociating language and cognition

Reference 49

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verified fuzzy
raw_fallback, observed 2026-08-07T14:27:42.012101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:27:40.485001Z digest=sha256:ff478f7c5a16c30447ee2fca9f02d92d73c3ee3455736ee347f3ee42cf35d5e2

Observation 5104c638-3faa-41a6-837a-63c317bc402d · outbound

This paper cites R$^3$Mem: Bridging Memory Retention and Retrieval via Reversible Compression.

System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts R$^3$Mem: Bridging Memory Retention and Retrieval via Reversible Compression

Reference 50

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no resolver link, observed 2026-08-07T14:27:40.574102Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T14:27:40.574102Z digest=sha256:e7c006f56234d9bd1727cfd0d2e391de2334c5e98cc857abd5f362c546e3c632

Observation 39e81633-0cfa-428b-bc6a-beda51a2d2d4 · outbound

This paper cites Seeing Beyond Words: MatVQA for Challenging Visual-Scientific Reasoning in Materials Science.

System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts Seeing Beyond Words: MatVQA for Challenging Visual-Scientific Reasoning in Materials Science

Reference 51

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no resolver link, observed 2026-08-07T14:27:40.625888Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T14:27:40.625888Z digest=sha256:ff424bd9b54e553b85a3f896e8c350919113a65238c045a552237ec8c86c0000

Observation 526186fb-c4d5-4067-ba39-13d1810f9399 · outbound

This paper cites Distilling System 2 into System 1.

System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts Distilling System 2 into System 1

Reference 53

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no resolver link, observed 2026-08-07T14:27:40.768478Z

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source=pdf_text observed=2026-08-07T14:27:40.768478Z digest=sha256:3d75e8aba2ef3ce51e49a96ca9e9b407fce6e62f1ac3b9d558d7960b38b8a7e3

Observation 08145437-0fc1-4dd6-8219-1407087b9ea1 · outbound

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

System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts A Survey on Test-Time Scaling in Large Language Models: What, How, Where, and How Well?

Reference 54

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no resolver link, observed 2026-08-07T14:27:40.824280Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T14:27:40.824280Z digest=sha256:b916c5d3c8c7e3506afd7f2bd68083f8117bbdbdd3fa929df939ed95bbdb0bda

Observation 0c72ab56-342d-418a-bef9-56efad178f6c · outbound

This paper cites Mixture-of-Depths: Dynamically allocating compute in transformer-based language models.

System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts Mixture-of-Depths: Dynamically allocating compute in transformer-based language models

Reference 2019

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no resolver link, observed 2026-08-07T14:27:39.557282Z

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source=pdf_text observed=2026-08-07T14:27:39.557282Z digest=sha256:e0d54726d2ef852cb70cb37349154655277533a8d608c6127fbffcf7251d1abb

Observation 27edc299-8063-4618-9460-1f2e93ab224e · outbound

This paper cites Chain of Draft: Thinking Faster by Writing Less.

System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts Chain of Draft: Thinking Faster by Writing Less

Reference 2020

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malformed identifier
no resolver link, observed 2026-08-07T14:27:40.701010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:27:40.701010Z digest=sha256:afee7265a8ca17fa135a242de6ea66575d6a7acb57bc22c144f79c8a7e71fa4d

Observation ac8afd31-eb27-4983-b3d3-4b83630c0fbf · outbound

This paper cites SkipDecode: Autoregressive Skip Decoding with Batching and Caching for Efficient LLM Inference.

System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts SkipDecode: Autoregressive Skip Decoding with Batching and Caching for Efficient LLM Inference

Reference 2021

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no resolver link, observed 2026-08-07T14:27:37.871305Z

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source=pdf_text observed=2026-08-07T14:27:37.871305Z digest=sha256:e8330a22710b6676a304c539c6a2347bcb8716e600a2eccbd1050a4082778d9b

Observation bb6e72ba-3cc5-4240-9c52-8efa44840727 · outbound

This paper cites Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems.

System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems

Reference 2022

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no resolver link, observed 2026-08-07T14:27:39.089086Z

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source=pdf_text observed=2026-08-07T14:27:39.089086Z digest=sha256:f1a251e7bb76852717a049916fa2cb7960c28bc446db3c63d0f749a4289cc612

Observation e6ba96b6-53c0-4387-aacb-262054f5ce51 · outbound

This paper cites RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control.

System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control

Reference 2023

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no resolver link, observed 2026-08-07T14:27:37.542242Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T14:27:37.542242Z digest=sha256:3b01cb3f06f3e61654706d8ac6439b3ead546ef9189441067a8d0291b76eff07

Observation 995306dd-c66a-46ff-8bfa-5b2407446b6a · outbound

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

System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts Compressed Chain of Thought: Efficient Reasoning Through Dense Representations

Reference 2024

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no resolver link, observed 2026-08-07T14:27:37.731701Z

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source=pdf_text observed=2026-08-07T14:27:37.731701Z digest=sha256:fd440d26a78e19de88689404638b4a1ecb9ec3d8f77fd4b1346f15d76e462db8

Observation 12b0d87a-e757-43dc-8b99-6e940d5653a7 · outbound

This paper cites CoLT5: Faster long-range transformers with conditional computation.

System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts CoLT5: Faster long-range transformers with conditional computation

Reference 2025

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verified fuzzy
raw_fallback, observed 2026-08-07T14:27:42.384423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:27:37.497119Z digest=sha256:f3c633ea5e95a7384d6a9d1415fa750d9658091930cfa0640a99127c8dc3f7ed

Pith citing papers

Observation baaf174b-e113-4165-a77f-4468066013af · inbound

Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems cites this paper.

Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts

Reference 196

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verified exact
arxiv_id, observed 2026-05-22T21:42:10.885833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T21:39:49.832151Z digest=sha256:a0d2ddba40a29d0387681da98cf6647f790fe5dc3cb07e35b56d946080bb9b02

Observation a9c1c450-4b5a-400a-967d-9e93d37a7a0f · inbound

A Survey on Latent Reasoning cites this paper.

A Survey on Latent Reasoning System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts

Reference 109

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no resolver link, observed 2026-08-06T19:14:31.820848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:14:31.820848Z digest=sha256:51d583018127ed843fdc84e76c8069cc84c7845d40aa196341b87f65f4ecff09

Observation b730042a-a82b-458e-a391-31335126eb69 · inbound

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey cites this paper.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts

Reference 193

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source=arxiv_source observed=2026-08-06T17:54:17.808614Z digest=sha256:55149246f697cbba2721fae7d2033a88f66d6e9d0680288cfb02a2eaa24c1552

Observation f1c053df-04e7-4360-89bb-bc5d24271f21 · inbound

Toward Efficient Agents: Memory, Tool learning, and Planning cites this paper.

Toward Efficient Agents: Memory, Tool learning, and Planning System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts

Reference 135

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no resolver link, observed 2026-08-03T09:21:43.592852Z

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source=pdf_text observed=2026-08-03T09:21:43.592852Z digest=sha256:b798bce4f0db5d99bd258009d7e216e2b0354b4b9728e6ca6a666e936171d547

Observation 2f17174c-5ffe-4ae4-ad4e-6921472e703b · inbound

Efficient Reasoning on the Edge cites this paper.

Efficient Reasoning on the Edge System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts

Reference 166

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no resolver link, observed 2026-07-13T23:28:12.790404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T23:28:12.790404Z digest=sha256:f944067d44f3abecab2458c7a621bfc4a6a41251bc071c267a9c236824dadd50

Observation 7523dc4e-1b82-4233-acfd-f37e45f8106e · inbound

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

The Latent Space: Foundation, Evolution, Mechanism, Ability, and Outlook System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts

Reference 226

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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=sha256:33cba9fc87fce86a55fc93950110d9293235f8a409db2de77cdb384afbb9dc6b

Observation 65544d91-c85d-40f3-9704-85b943989bbc · inbound

LightThinker++: From Reasoning Compression to Memory Management cites this paper.

LightThinker++: From Reasoning Compression to Memory Management System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts

Reference 78

Resolution
verified exact
arxiv_id, observed 2026-05-13T17:28:01.765823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-13T17:25:28.432170Z digest=sha256:7f05cc7e7149180fbb98255fca57aaf9ff5cf3200b756cbd2df4fd43f3acd914

Observation 2e6cdc00-98f5-40c5-9e6a-29727b7c915a · inbound

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

SeLaR: Selective Latent Reasoning in Large Language Models System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts

Reference 42

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verified exact
arxiv_id, observed 2026-05-11T00:35:49.778357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T18:27:36.132030Z digest=sha256:2210117f767235cd4644aaedc266fdba92155ab8b44690aaa3d516e8bb56addb

Observation 65b4e4fe-caef-4acb-ba3e-bc2c873ee110 · inbound

Latent Abstraction for Retrieval-Augmented Generation cites this paper.

Latent Abstraction for Retrieval-Augmented Generation System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts

Reference 40

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verified exact
arxiv_id, observed 2026-05-11T12:01:04.910747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T04:22:05.341154Z digest=sha256:b9edc8a6bf1eb7feeb71a4d5d43e60cd3a7d1fbb699572c07d078d273e572d95

Observation b5e301d3-3069-4355-ba33-f2655870fc6e · inbound

LPG: Balancing Efficiency and Policy Reasoning in Latent Policy Guardrails cites this paper.

LPG: Balancing Efficiency and Policy Reasoning in Latent Policy Guardrails System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts

Reference 32

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verified exact
arxiv_id, observed 2026-05-19T23:43:17.883435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T23:42:58.135553Z digest=sha256:fe665e33a8ce364209fcc7c6cc89c88e4319a83a6175efa78fcb44b07b322c68

Observation cd30eaae-c681-487b-a929-9407efa6aa26 · inbound

Self-Policy Distillation via Capability-Selective Subspace Projection cites this paper.

Self-Policy Distillation via Capability-Selective Subspace Projection System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts

Reference 23

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verified exact
arxiv_id, observed 2026-05-22T05:34:40.356309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T05:31:42.803465Z digest=sha256:cc7e5a9ee4f65037abef302128169126269857e0a586b5e1899add80e455710a