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Paper Citation Record · LEDGER

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

As of 8 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 2026-08-08T06:32:00.761636+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=sha256:90bba7be139bf5fe5e1337d242f30eb79bdd257b9c9b94debdde4db82e3d422a

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=sha256:46316f8b1e10a793b7a498c161f66ae2cf8d96993d8873d07fcc583d6abdd665

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:b00b999d886f6be1427966ff5d49624c8e41a19ef673148b51c90ddda852ebdb

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:27:37.795336Z digest=sha256:4627c2639d38a84aae2a0e75a376591512526c8bdb4d57e6a99262708b714e4c

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:cf3cd5800f27759750e83adbef4e1b4889856ce61e75760a5f758a4be1cd5727

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=pdf_text observed=2026-08-07T14:27:37.973606Z digest=sha256:b16310c85bdffe53ab8356741a62d254f41be3f0c6d87fb1cf2e5ec3336e78fb

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=sha256:29de65cd51fea90e8f3ec29c1beb8e8e91e194bc5242fc3b55f517f3b85bc7e7

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:d0e05da82b9d0276f5c1cbdcacfe44c3cfe6c971d317e78ebf46b4a4483d0978

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=sha256:1ca6354a1279b0ce4e174bf8fb332430a6b6daaccf538515a2108d6925e3f8e1

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:fba1f71817d9d60deff2e5526ebd2b21aad3b89fefcf3818c8ffe34e8ee8badc

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:d75820df89aebf8427ebdcf9bf454d26da6478837e73ecde0121b78d1c9d547f

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=sha256:1d672ce21a6bea8a4bb4d475de7b2248f11ace28ded3385cbff14f8308a4fc19

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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source=pdf_text observed=2026-08-07T14:27:38.503108Z digest=sha256:f2e10a248134e4f5495c509ea37196bf6b3600a3b3ea6f1fd67bc95810cd5401

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:f1f1d880930841758bb8ffe0afacf0fbb97a035dde24ebb122dfdcf8eb782217

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=sha256:9dc7f0fabd2e4aab4cae3da4a47653e0c7eb5261e023ca4e44ee1a46dd95b70d

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:f669da0d012a47925787aa93cda159d79cd18b8d07799129f4bb4546c0882466

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:fe769c34e47a8273fd784bf7983e9fbd51e234deb83cf7a1e06113bdedafb438

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:bf2d558e707576dc9df68337285e7ded36167a05ce1361110b609978c414777b

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=sha256:42df8f00be89811527ed5699f07e53b818a64ba9194739c9785c5b202149bfce

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=sha256:451761338aae28a8c3b7ebca5ee4fc84709fe7861854c676030c948bfdac47c3

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:27:38.982830Z digest=sha256:1d52fd774896dfd2aab0d047fb1782b0095e23527adf07eae2f9c862f6861fa4

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:ec27d96b37fbd41a81bac2321877c9471565a7bafe87b783a5bccc26a9afab04

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:fd7f56dad76daf17f28f45f7c82ae4960fe77f4574e6ce64915c76316ff5c1a7

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:b1854d8b5e0435eddbc57e1b72b8963681c1783ef820fba75ea1e279f1cd42ae

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:e26a08366f4a724d0411506164622466d5cc39a62aa2602c35744993586c06f8

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=sha256:9a577c0dea8006d5b775c14aad6571093867092e796b0675714b52276c350f88

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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source=pdf_text observed=2026-08-07T14:27:39.402660Z digest=sha256:25ecf6cf3c234de26834905789cedff34a23e75c3e1f1210aae3186c5fb1ba34

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=sha256:9d3a06b274ccd44f23caa4268d5164efb519f08e52e8b40325b49b713c2bd25b

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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source=pdf_text observed=2026-08-07T14:27:39.636881Z digest=sha256:ead18d91a2669f91e60d2e06810575473cb037f963a946aac65016f6a4ed4726

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:b428301c90378c0accae5597fac3311d0a02afd116585d808ec496c6488b1263

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=sha256:8b1c3e095d1ba462f70d31588c9d8779d314eb04f44c23c27e84d1f0a8a15912

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=sha256:53e3c0ea4d9b8ad7c6d528c4a1b1305dd1941087adce3d2fe3c0c5631b35e5c8

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=sha256:8556813cc7c49dcf1116d0a15c1207d52a664cee87d3e18aef7ed5ab3ead1686

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:f8c4b3f4c5566989458df3889f51f1df49bc3c4ad7cb3916ed7dfdb3579cf1ae

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=sha256:6d6ae04459a91b24efe2c95c66548b9a284180e4c7760648dfd7357300180071

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=sha256:0fc260d55f6e6343bddc7fee4d71132cebd98fdedb6be9d83c3faa2bc09aa048

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=sha256:9f89f8262def1f0a3c6d94560ab18f38188a88fca3d8c2c0181246c6894f8f9d

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=sha256:3b4bcd98c65a7044f4e7b8e6600208b940fd683f4433414e6e6c996c11a1d56f

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=sha256:3bad76c9d19d2ab32ad001b6a936d0f2ebaa0e005fd683b72463a398cb14f715

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=sha256:2a06dcc5f53a56c02b20844427e0d32572182ff789b2f9839605e385a0a6a52b

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=sha256:84bbb5c8e8ea22234565e0c80c3594a64b1ca844c54c69ee6898d129c9dfe50f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:27:40.485001Z digest=sha256:07ac8d5d5def87867a8117e7196cf274248752b12cfa062f7a1e24536d3c2f3e

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=sha256:22bb10dcb6821429fc78f361b8197d3b126f6366a86f863aefd42eb45c3ba54e

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:a6a1c4b21a250cb95f17624ab11468ffecb8e5f61335dd4417c677d7e631dc58

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:27:40.768478Z digest=sha256:ab109691b119a00853a9a36d843a6efb6a0a3cfef999c5353f34d51c7514be39

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=sha256:10b001237dbdea7154415a6c7504bb0118fd522f5b8343e3a675fe732445d011

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

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T14:27:39.557282Z digest=sha256:10d3c23ebb33d60f82876cc93652e83136446bd6abc235413361e96e8de4f71e

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=sha256:981e74637be219107bb96b077f3f514e72d00385e2473584bdc89875acafc6ff

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

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T14:27:37.871305Z digest=sha256:8a5d572f3cbab42f01bf4a00c526da09399bd485c9652aec086abafeb0eae0a3

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=sha256:96d4599177f1e0d2d48c7ba07e5e2b418caf42bdcc90500e9d5e5b1dc7217020

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:a03ef6d54b2a37744b94e3ee9f4281865daeef19eac13e8c3c2b316d90b968ca

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

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T14:27:37.731701Z digest=sha256:444bd995d42a3d995dddce707f24d8a7d5a9d61c3ba6129194249c792f5f3563

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:27:37.497119Z digest=sha256:90367100c71c9202f270cba60b72a07aca0776e41ca2d94fe376abcc2057c98b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-22T21:39:49.832151Z digest=sha256:fadc2d6195758c0e8b5d494c6e69d94f539141e3353208a407f0ec6113d82fac

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=sha256:28100162c27a9d4218f335781f21de9a29f354712d197b0140fcd891f3a7f335

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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no resolver link, observed 2026-08-06T17:54:17.808614Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-06T17:54:17.808614Z digest=sha256:227118f0e3e7c52cf819f6eca6d021bc2aa8a0c5ec1979aee1d34be29f37327f

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

Source-reported events for the cited work

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source=pdf_text observed=2026-08-03T09:21:43.592852Z digest=sha256:94fb2b32b315946c904c71bd0e3036478700e78508dd21bb94c1cf14296a65c6

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=sha256:582d6510be90e18ff0133e6078a815ea5177a2c5ef4911a9827c6644ab5ce982

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=sha256:28789de6308cef38ee79a9c344882c6e5b9a01e6ad87678abfb8fca42d47fa36

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T17:25:28.432170Z digest=sha256:0ef04065d7443f6e0b2ff9541e095351365b0ef4b6e296b2140baf2f8771a382

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-10T18:27:36.132030Z digest=sha256:84a3b5e91c28b7090822f356c04668662039e3e0faa3d6682229d3c953007d41

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T04:22:05.341154Z digest=sha256:4943bcd66bf380b33eb084508d1300dd2f91477076c4771d2afe91ca98eaead2

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-19T23:42:58.135553Z digest=sha256:fe2afdcf239558d591303b0571745ac5e4ce9cff38a9372660cc90428f002c0a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-22T05:31:42.803465Z digest=sha256:6f0c2bccc106167a62b1007b4bbf509fd6d7665702044d148d14568dc674c3a6