Pith. sign in

Paper Citation Record · LEDGER

Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning

As of 10 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 28 inbound Pith citation observations for arXiv:2502.03275.

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

pith.paper-citation-record.v1
2502.03275 v2

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T05:22:33.630625Z

measured 81 of 81 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 28 of 28 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:27:39.873922Z

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 fuzzy11
  • unresolved42
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 261944d7-10b3-45f3-810a-2e631b0a2cac · outbound

This paper cites write newline.

Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning write newline

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-09T05:22:32.157885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:22:32.157885Z digest=sha256:9b67ec716899e4139cf6fec57d462828db82ad2a47122325a03ef44b54e77672

Observation 19ade6b2-d19e-41e3-8ecb-530d9a374265 · outbound

This paper cites Llemma: An Open Language Model For Mathematics.

Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning Llemma: An Open Language Model For Mathematics

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-09T05:22:32.218490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:22:32.218490Z digest=sha256:d2dabe8e37e4e3cc492d89d6dd347de64a92dd628e769a67e84d42eef3ee465c

Observation 4797e7af-7909-4acd-8a83-0a85882d8ff4 · outbound

This paper cites R., Dale, D., et al.

Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning R., Dale, D., et al

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T05:22:35.098759Z

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=2026-08-09T05:22:32.224538Z digest=sha256:7db31b808e1d589fc9276128e58283e8f0b5906f36122e5cb40d70d4001e6be6

Observation 189cb0d7-f5da-449e-ada2-f19e0c4f5d1c · outbound

This paper cites Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks.

Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-09T05:22:32.237144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:22:32.237144Z digest=sha256:36f8f851d544df04a26c5c804b2d6e277c6a38488ec92d49f6efb63e706a358d

Observation de288457-7306-44ae-934c-0d66d3e1db23 · outbound

This paper cites Theoremqa: A theorem-driven question answering dataset.

Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning Theoremqa: A theorem-driven question answering dataset

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T05:22:35.024715Z

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=2026-08-09T05:22:32.242435Z digest=sha256:0da35aefb214d2acd92b98553b1832e4c6c710eb609693de1ecdf9ed9f959b47

Observation 18491fff-c646-41e7-a2fa-1f79a9f682af · outbound

This paper cites W., Hou, L., Longpre, S., Zoph, B., Tay, Y., Fedus, W., Li, Y., Wang, X., Dehghani, M., Brahma, S., et al.

Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning W., Hou, L., Longpre, S., Zoph, B., Tay, Y., Fedus, W., Li, Y., Wang, X., Dehghani, M., Brahma, S., et al

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-09T05:22:32.247316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:22:32.247316Z digest=sha256:28bebe187c90dd11395feebb678057149075c09f98d67c373e69ae8978d647b9

Observation 923ed978-23b6-4c69-91ab-9272a0658573 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning Training Verifiers to Solve Math Word Problems

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-09T05:22:32.258214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:22:32.258214Z digest=sha256:3a9b5569c60620f187057f02a88bddb9db8517c33d4360c8f4ecf7048cfa6173

Observation 8d0a1afb-1f5e-489b-89f0-2fe36efeafa6 · outbound

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

Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning Implicit Chain of Thought Reasoning via Knowledge Distillation

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-09T05:22:32.302674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:22:32.302674Z digest=sha256:72462675194528976bb9c03d2f956c968dc44b17a62efd8e100537591843e876

Observation b303da38-d47e-47af-b57f-c0a89250332a · outbound

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

Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning From Explicit CoT to Implicit CoT: Learning to Internalize CoT Step by Step

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-09T05:22:32.374255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:22:32.374255Z digest=sha256:c27ffe95101244eeb79af2f8c0852ea26f353ec6e2729007f0c9eea331f4298f

Observation 836f65b2-8b9e-44ab-b49c-b4aa438ca0c0 · outbound

This paper cites The Llama 3 Herd of Models.

Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning The Llama 3 Herd of Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-09T05:22:32.419674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:22:32.419674Z digest=sha256:3aba942a0dac7349027b35ef6b9b547a16a251ce9339456c319207115aa461d7

Observation e29318c6-7b71-472e-b6fb-ef2dd59f222e · outbound

This paper cites L., Jian, L., Lin, B.

Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning L., Jian, L., Lin, B

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T05:22:34.988534Z

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=2026-08-09T05:22:32.504890Z digest=sha256:7c675775bba4be3740da8244d4a23973a0976b23e89d3b265b9cf6de01ee8582

Observation c0334db6-baeb-4493-928f-851c5c12e1ab · outbound

This paper cites Towards revealing the mystery behind chain of thought: a theoretical perspective.

Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning Towards revealing the mystery behind chain of thought: a theoretical perspective

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T05:22:34.968884Z

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=2026-08-09T05:22:32.550406Z digest=sha256:505917d654b05a10bf3b18d96703b7583d7d3694ebf4f0da91da589c6a9a582c

Observation a12ab43b-3121-46b4-8fae-1bd2bc2ad424 · outbound

This paper cites Stream of Search (SoS): Learning to Search in Language.

Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning Stream of Search (SoS): Learning to Search in Language

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-09T05:22:32.557993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:22:32.557993Z digest=sha256:8a5c6893274d79fe9b01e5a6399b6be17f413221db1a00311f9152fa92a57838

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

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

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.

source=arxiv_source observed=2026-08-09T05:22:32.565978Z digest=sha256:4540d638bbea9cf0602b02685382662bb9be7f16e82b27faadf7d379ae3f7d71

Observation bc077f06-4a9d-40aa-9ed9-4f25abeffd49 · outbound

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

Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning Training Large Language Models to Reason in a Continuous Latent Space

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-09T05:22:32.574089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:22:32.574089Z digest=sha256:725823b38b600714eba491370e3cfe8b867fcf96de57d33383a469f6ddfb982f

Observation ecf4406b-d843-4d99-bad9-58a7fee63a2a · outbound

This paper cites E., Nilsson, N.

Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning E., Nilsson, N

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T05:22:34.950664Z

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=2026-08-09T05:22:32.585234Z digest=sha256:9522a9f07c7327f1bb2dcaa02efd91b9e9168d3c8cd424e36db5c470810c755d

Observation e508001b-e826-4378-b987-2f3e1275ec73 · outbound

This paper cites OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems.

Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-09T05:22:32.594956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:22:32.594956Z digest=sha256:3e92c2d41ef33f11db048b8208c955f3d45c2caf1a4960974c90899d0d64a383

Observation a542b6c0-fa54-448e-8c9d-59eef10cce17 · outbound

This paper cites Measuring mathematical problem solving with the math dataset.

Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning Measuring mathematical problem solving with the math dataset

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T05:22:34.874755Z

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=2026-08-09T05:22:32.603063Z digest=sha256:9348000a0b99413af0a15975416e2f2be020d890effdb092251785434f816617

Observation ca37edb0-095c-467e-8cd1-4ff688afc211 · outbound

This paper cites Measuring mathematical problem solving with the math dataset.

Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning Measuring mathematical problem solving with the math dataset

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-09T05:22:32.624258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:22:32.624258Z digest=sha256:1c97ca14a2867875b60eacd7e26c55788ef290e02e1ad0042075a571b78421c4

Observation e3f1f511-95b1-49c5-9ae6-03865ecc1d06 · outbound

This paper cites Forward-backward reasoning in large language models for mathematical verification.

Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning Forward-backward reasoning in large language models for mathematical verification

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T05:22:34.715766Z

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=2026-08-09T05:22:32.698651Z digest=sha256:5c596740c8bcab128d068034882d675aeef23249515aaef9a2858dd10392f41c

Observation fddac71e-bc02-4c6f-9758-872749e1aebf · outbound

This paper cites Efficient Planning in a Compact Latent Action Space.

Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning Efficient Planning in a Compact Latent Action Space

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-09T05:22:32.802915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:22:32.802915Z digest=sha256:1f9b7673be8032f093d9ab70e3a71a3cb907b074a24569e598ba1af2b5e9ced0

Observation 4e4569f9-5f34-4437-9d6c-442435268721 · outbound

This paper cites H-GAP: Humanoid Control with a Generalist Planner.

Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning H-GAP: Humanoid Control with a Generalist Planner

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-09T05:22:32.863441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:22:32.863441Z digest=sha256:7484f574144e996fbd101284a641b142c665c115e9d762a873122fcd52c46ff2

Observation 6cca35c4-060e-4932-a5e8-3a0e5209f7cd · outbound

This paper cites The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning.

Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-09T05:22:32.870675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:22:32.870675Z digest=sha256:1f682580f25a32cc2a9af5a788e778c1b9a41a52cba0a960364f3ef927e0c1c4

Observation 1bbafcd1-9f8b-44ee-acc3-3a02bca8967f · outbound

This paper cites S., Reid, M., Matsuo, Y., and Iwasawa, Y.

Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning S., Reid, M., Matsuo, Y., and Iwasawa, Y

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-09T05:22:32.876998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:22:32.876998Z digest=sha256:7d6f48675cd7bc4636e73b558d1a703cc732ffad1015133809ef42e50d590647

Observation 695e60be-d961-4bf5-b8ad-705685d1d8e2 · outbound

This paper cites Beyond a*: Better planning with transformers via search dynamics bootstrapping.

Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning Beyond a*: Better planning with transformers via search dynamics bootstrapping

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T05:22:34.611218Z

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=2026-08-09T05:22:32.883521Z digest=sha256:096a8e11a9b12a8c13517e33c3bc0e302f27adbf897214c5734c3b33a9c54d9e

Observation c89d6520-6513-417b-9bdd-559a394ef541 · outbound

This paper cites Chain of Thought Empowers Transformers to Solve Inherently Serial Problems.

Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning Chain of Thought Empowers Transformers to Solve Inherently Serial Problems

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-09T05:22:32.890490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:22:32.890490Z digest=sha256:119e72d8c08e157ac1e7e8211ed2d3b987681848ef40f251a7ae6d624363b95b

Observation f2a9ae31-3a5c-4c05-b7e8-0b6d25b44e3d · outbound

This paper cites Y., Bras, R.

Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning Y., Bras, R

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T05:22:34.576444Z

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=2026-08-09T05:22:32.897309Z digest=sha256:a562668a7207e8205c8e52efa2749b7e282ebc14720b7199b73ae017dddec989

Observation 069496ad-7457-4596-9059-f52753359572 · outbound

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

Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning Deliberation in Latent Space via Differentiable Cache Augmentation

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-09T05:22:32.903040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:22:32.903040Z digest=sha256:a69f6e78811aa66f840259715a3c4c97844b6f6376b4e527fd313e692912f99e

Observation 5a56bb5e-7fdc-4289-8e13-a983e2ac9239 · outbound

This paper cites Finemath: the finest collection of mathematical content, 2024.

Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning Finemath: the finest collection of mathematical content, 2024

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T05:22:34.481424Z

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=2026-08-09T05:22:32.937176Z digest=sha256:2ce7c75f53a6202d210699b242a955b3230627cb901ed5917727d7ccca338a48

Observation c866a5c8-0763-4af9-ac1e-23a262359024 · outbound

This paper cites Show Your Work: Scratchpads for Intermediate Computation with Language Models.

Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning Show Your Work: Scratchpads for Intermediate Computation with Language Models

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-09T05:22:33.061214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:22:33.061214Z digest=sha256:60793f4c10336a6953be84dd72dc4e840d32961a403918d468c789fba4648db2

Observation c8b92a72-72c2-4424-bec4-17a25157877c · outbound

This paper cites Byte Latent Transformer: Patches Scale Better Than Tokens.

Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning Byte Latent Transformer: Patches Scale Better Than Tokens

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-09T05:22:33.078204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:22:33.078204Z digest=sha256:cad9c85fcf9c68ab58d9f15f98526e144819a2b2dda1c2adf5ee62d08c8c06c0

Observation d8b59338-403d-40bd-8971-6425ee665355 · outbound

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

Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning Let's Think Dot by Dot: Hidden Computation in Transformer Language Models

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-09T05:22:33.083474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:22:33.083474Z digest=sha256:a50448563ec3897ad9b78b0ea42080fae2888a8af3d4fd661b78d6ab2a78e52e

Observation 7ae9496a-0921-47da-ad35-5ff8f3072e58 · outbound

This paper cites Language models are unsupervised multitask learners.

Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning Language models are unsupervised multitask learners

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-09T05:22:33.090077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:22:33.090077Z digest=sha256:9935029c13004421033ebe69d42d178550e178d90c0c9e4bddd6a833e3149efd

Observation a529de6e-c377-4ce3-9d20-ab6c5ef28747 · outbound

This paper cites an unresolved cited work.

Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning Unresolved cited work

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-09T05:22:33.095613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:22:33.095613Z digest=sha256:52cce3463ab1de82b2e0357f16b80b657fa1e2c697beda3ce6cbe1303216f274

Observation 65165c19-4a92-4f70-8962-638099c0ea21 · outbound

This paper cites Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought.

Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-09T05:22:33.100793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:22:33.100793Z digest=sha256:bc2b8863fb8be1c4804e55b7bb7ec984d6663f74e72a8eabdd2f74b18d7b5db9

Observation d28d43e8-c6eb-41d5-9ff7-e40918087a3f · outbound

This paper cites Analysing Mathematical Reasoning Abilities of Neural Models.

Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning Analysing Mathematical Reasoning Abilities of Neural Models

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-09T05:22:33.105528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:22:33.105528Z digest=sha256:c11bdc24dbe3a5128d6d0f5091064d4b46c6490dfbf01544453a309f7010ed0a

Observation 3595bde9-c9c6-4564-9c6a-2861762cf69b · outbound

This paper cites Dualformer: Controllable Fast and Slow Thinking by Learning with Randomized Reasoning Traces.

Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning Dualformer: Controllable Fast and Slow Thinking by Learning with Randomized Reasoning Traces

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-09T05:22:33.111781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:22:33.111781Z digest=sha256:2287ba9cd08f54d1e828d32479e3c121d7ac0720f55b369cbeb38215b9c8d56e

Observation 6271ed04-48b0-4f08-9354-d7415b1682a5 · outbound

This paper cites GaLore 2: Large-Scale LLM Pre-Training by Gradient Low-Rank Projection.

Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning GaLore 2: Large-Scale LLM Pre-Training by Gradient Low-Rank Projection

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-09T05:22:33.116839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:22:33.116839Z digest=sha256:cd9cffcc5655d81e9e4ec5842b6fa1f53a777d81d5f31ab6e92f0b65b3ce537f

Observation 95ef10ee-acc7-4faf-b801-3a4096439203 · outbound

This paper cites MathScale: Scaling Instruction Tuning for Mathematical Reasoning.

Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning MathScale: Scaling Instruction Tuning for Mathematical Reasoning

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-09T05:22:33.207513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:22:33.207513Z digest=sha256:3ba83c66acad411e6a6fe9933fa0369d7985f8fb80698f33c752813820c61a48

Observation 4f55b28b-20a2-4adb-92c4-026e1a8f59e0 · outbound

This paper cites DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving.

Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-09T05:22:33.286278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:22:33.286278Z digest=sha256:b24dd5fad5217e76bbc9c6913c1ebee553f391739c9522b5c06a73410415c4f4

Observation 02cbfcc0-b483-452e-96fd-ee7904e3d1f6 · outbound

This paper cites Neural discrete representation learning.

Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning Neural discrete representation learning

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-09T05:22:33.390145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:22:33.390145Z digest=sha256:14d47987f388c7faeb96b05952526da8addd7aff409b8bcc4428fa28c0fb4c3d

Observation 89263b00-304d-4ea4-9f8a-05a55bf49d47 · outbound

This paper cites Chain-of-Thought Reasoning Without Prompting.

Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning Chain-of-Thought Reasoning Without Prompting

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-09T05:22:33.442997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:22:33.442997Z digest=sha256:3a851ed6c699006f406c9455bffe2e989dd2ee809001c918d6478419909beb7e

Observation 467ae320-3ac3-4f24-a4c1-831e584e5a5c · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-09T05:22:33.448130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:22:33.448130Z digest=sha256:6bb0b5cd345dfc00e6652c5fae18084a903fd7e03d5ee1d68c4577abb0b17a22

Observation 38089244-ea72-4893-8b3c-42db39940a37 · outbound

This paper cites Guiding Language Model Reasoning with Planning Tokens.

Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning Guiding Language Model Reasoning with Planning Tokens

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-09T05:22:33.453157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:22:33.453157Z digest=sha256:537e4f3bdf5240425ee2a6993fe1bf068fe8c0eace5d7662bdee0e38bb0bf8a4

Observation 7a4cc883-1ff5-444e-86cc-63b07f184d7a · outbound

This paper cites V., Zhou, D., et al.

Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning V., Zhou, D., et al

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T05:22:34.364199Z

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=2026-08-09T05:22:33.457926Z digest=sha256:9fc1b82e2032c4243ecb2e26aa0b6e017cf37d7111d97f9a15c49e15e152a598

Observation 52e6cd49-af4d-45b3-a256-2b1ef945d4a9 · outbound

This paper cites V., Zhou, D., et al.

Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning V., Zhou, D., et al

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-09T05:22:33.462351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:22:33.462351Z digest=sha256:74bc692945873b0d40edbfa5fc11c4b23816cb046a50f949a479c1f7d18917af

Observation d3743882-f94d-451a-bbc8-96d8964191d8 · outbound

This paper cites From Sparse Dependence to Sparse Attention: Unveiling How Chain-of-Thought Enhances Transformer Sample Efficiency.

Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning From Sparse Dependence to Sparse Attention: Unveiling How Chain-of-Thought Enhances Transformer Sample Efficiency

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-09T05:22:33.468853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:22:33.468853Z digest=sha256:f934caeeb539592c1cf489ac9d33ca2416bf5576f5026747b8ea38579cbd6aad

Observation 66b763e7-a1f5-40d1-b0f3-e11308d36d85 · outbound

This paper cites Qwen2.5 Technical Report.

Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning Qwen2.5 Technical Report

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-09T05:22:33.473999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:22:33.473999Z digest=sha256:015dedfef10e1d582643c1f53dfa86cdee778e190f09ef13c5f1c2b5c898b4fa

Observation c1d3ebe6-37c8-478e-9495-995a9b9a2dbf · outbound

This paper cites Tree of thoughts: Deliberate problem solving with large language models.

Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning Tree of thoughts: Deliberate problem solving with large language models

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-09T05:22:33.479646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:22:33.479646Z digest=sha256:2125941bf66db454e695039d8e19c050e6e741359cf0f38234e4d41845f2a8a0

Observation 2e29f93b-4891-4173-b5b3-31ea377478cd · outbound

This paper cites MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models.

Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-09T05:22:33.484399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:22:33.484399Z digest=sha256:33b3a7e116886900b4614782e1d3fed4ecf375b0381dc1667aec473d18ac0c20

Observation 571742c2-1501-486e-abb1-1df06d46e972 · outbound

This paper cites Distilling System 2 into System 1.

Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning Distilling System 2 into System 1

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-09T05:22:33.519990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:22:33.519990Z digest=sha256:18fe018beee3f34051852b32fce373dc4da64f210c4859b640c29777d6ae63c0

Observation 655cb3fe-7512-44d5-906b-dd56e0aa0ad0 · outbound

This paper cites MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning.

Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-09T05:22:33.554899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:22:33.554899Z digest=sha256:c9e6b2c0fb2ce19ab2d5a5d106c5ed5f8f0a19a6537334b79a509185ac3df5fb

Observation f0261e3f-3a43-4f74-9811-3ee00a9ba015 · outbound

This paper cites Towards a Theoretical Understanding of the 'Reversal Curse' via Training Dynamics.

Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning Towards a Theoretical Understanding of the 'Reversal Curse' via Training Dynamics

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-09T05:22:33.630625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:22:33.630625Z digest=sha256:6a78f2daa3a0df302fa1aab47448a2bf898bc9cbd23818f874bd3026d2ccb0d0

Pith citing papers

Observation 640e2004-bcbf-4d6e-9007-13f08e5b1787 · inbound

Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models cites this paper.

Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning

Reference 163

Resolution
verified exact
arxiv_id, observed 2026-05-14T01:29:56.842168Z

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=2026-05-14T01:29:56.480020Z digest=sha256:a663d4fd3713e90c81d074cb002155902a524680fc306ec8a0ddbce788858cf3

Observation 1b4f20bd-d0ef-4478-bcdd-19e9895222aa · 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 Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning

Reference 40

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Observation dd3660a6-87d6-4a84-9189-cf6483b32d49 · inbound

Long or short CoT? Investigating Instance-level Switch of Large Reasoning Models cites this paper.

Long or short CoT? Investigating Instance-level Switch of Large Reasoning Models Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T10:52:44.759130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:52:44.759130Z digest=sha256:f3fc17c071b4099f706c8b5d252245b68e6749360ed447ad3d575344c9f70c20

Observation 0f847f77-a876-43b6-ae93-0b7bc9c5534f · inbound

PREMISE: Scalable and Strategic Prompt Optimization for Efficient Mathematical Reasoning in Large Models cites this paper.

PREMISE: Scalable and Strategic Prompt Optimization for Efficient Mathematical Reasoning in Large Models Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T04:26:29.762250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:26:29.762250Z digest=sha256:56d9833ea2ca223418d3d58d9ba27146657ea4fa8afbc120b4e0e6ddabb80e56

Observation 5a901718-1f86-4f94-906e-05aa0011a166 · inbound

A Survey on Latent Reasoning cites this paper.

A Survey on Latent Reasoning Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning

Reference 98

Resolution
unresolved
no resolver link, observed 2026-08-06T19:14:31.222528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:14:31.222528Z digest=sha256:ae4d52c02870b283712c04c185aa1fad27c21e16fe96f6237aa3b7f8de22822a

Observation c00da6aa-09d5-45b5-8407-78a00ceea478 · 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 Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning

Reference 167

Resolution
unresolved
no resolver link, observed 2026-08-06T17:54:17.667598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:54:17.667598Z digest=sha256:550f2ed68cb309a7c12b5f44e7ddfb0171ee2d533e9909bad1233b501a5b4f4a

Observation 46024e7b-6924-4273-84d2-f4f7a36fa9b2 · inbound

Implicit Reasoning in Large Language Models: A Comprehensive Survey cites this paper.

Implicit Reasoning in Large Language Models: A Comprehensive Survey Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning

Reference 66

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:39:36.734847Z digest=sha256:7c9227ae84fc6b831cde6861a8594fa03d541e23d23d9bd6f98e64222c5359f1

Observation 3fb4d2ff-4add-4a13-8029-c7953fc8d524 · inbound

Dynamics Within Latent Chain-of-Thought: An Empirical Study of Causal Structure cites this paper.

Dynamics Within Latent Chain-of-Thought: An Empirical Study of Causal Structure Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-03T03:14:20.679669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T03:14:20.679669Z digest=sha256:26441ca70ef22997792f8abcf8841276d8283876d4ce7dc0eeee500d1d7cc571

Observation bb630eea-1661-4da9-892f-08f59a7597f1 · inbound

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

SeLaR: Selective Latent Reasoning in Large Language Models Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:35:49.673222Z

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:f4aeff0a4ed2129d7299b21bba1f4d85a2e7664f73b125268a4287274ef1bcc7

Observation 9f11ffc6-9065-48f1-83eb-b0f656729a6b · inbound

LEPO: Latent Reasoning Policy Optimization for Large Language Models cites this paper.

LEPO: Latent Reasoning Policy Optimization for Large Language Models Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T05:46:09.854017Z

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=2026-05-10T05:45:50.406959Z digest=sha256:7ab393655edbc3b00b94e5d486dbedb7ac54ce63bb48d0defe248fac1e93d31d

Observation 458ad386-77eb-4307-ac26-308431d16fb8 · inbound

Xiaomi OneVL: One-Step Latent Reasoning and Planning with Vision-Language Explanation cites this paper.

Xiaomi OneVL: One-Step Latent Reasoning and Planning with Vision-Language Explanation Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning

Reference 90

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:11:20.807177Z

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=2026-05-10T05:42:41.112158Z digest=sha256:b3ca312c799fcc3b933df4e1001ba3be8d377fddd4477ab4d5b83b6074500917

Observation 39c8e822-17f8-415c-a770-5d479634be57 · inbound

Xiaomi OneVL: One-Step Latent Reasoning and Planning with Vision-Language Explanation cites this paper.

Xiaomi OneVL: One-Step Latent Reasoning and Planning with Vision-Language Explanation Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning

Reference 90

Resolution
verified exact
arxiv_id, observed 2026-05-12T00:56:14.437815Z

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=2026-05-12T00:54:23.508845Z digest=sha256:2ceef8843aac2268482b17850cc2b84d17eb4c4a5baea97dbec9fdb468d66b57

Observation d817a5ec-5d8d-498e-8eb9-51047f5e3532 · 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 Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning

Reference 86

Resolution
verified exact
arxiv_id, observed 2026-05-09T23:54:45.630369Z

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=2026-05-09T23:51:47.724033Z digest=sha256:7cef156993f35675c40da251ffea07d0db0998d856897330eb901e0786cfc99f

Observation 7dcf8f8e-4544-4113-adfe-80bd84298cc7 · inbound

Shorthand for Thought: Compressing LLM Reasoning via Entropy-Guided Supertokens cites this paper.

Shorthand for Thought: Compressing LLM Reasoning via Entropy-Guided Supertokens Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:51:25.736287Z

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=2026-05-07T13:33:21.840958Z digest=sha256:fa4457f90c7e5c5b2a6494a00b4692cf263d67df568d85a77a87c882c523d5f5

Observation 3c076905-8ec5-4128-83c4-7cbeda66898c · inbound

Post Reasoning: Improving the Performance of Non-Thinking Models at No Cost cites this paper.

Post Reasoning: Improving the Performance of Non-Thinking Models at No Cost Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning

Reference 89

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T20:06:09.549980Z

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=2026-05-08T10:19:08.451445Z digest=sha256:2e12c433e49a6f714eb0e17263aad3f1c4056a18976e52817d771ac90e40ea8c

Observation cdbb3065-4e7d-4533-ae7f-743ec3fe8aff · inbound

Dynamic Latent Routing cites this paper.

Dynamic Latent Routing Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:49:38.150490Z

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=2026-05-15T01:49:14.934586Z digest=sha256:5e1061b4c71330c80dddaa31aac046fa9ecb87c51c6066293a1e8395601a2297

Observation af822921-e6a3-4e57-a262-e1a7aa9ba682 · inbound

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

Transformers Provably Learn to Internalize Chain-of-Thought Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-06-29T14:33:30.566297Z

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=2026-06-29T14:29:10.010212Z digest=sha256:023ecec53f8820933a874bb7669dce078f81aa7ce19017f0ed8e92895b5c2692

Observation c433f3cd-4aee-4557-b067-c6e1dc684535 · inbound

Rethinking the Role of Positional Encoding: Sliding-Window Transformers without PE Remain Turing Complete cites this paper.

Rethinking the Role of Positional Encoding: Sliding-Window Transformers without PE Remain Turing Complete Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning

Reference 91

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T22:06:16.206369Z

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=2026-06-28T15:48:48.046003Z digest=sha256:7c10280119caf0253a07fa9f5e203c57e05d2fb944b280b47c1362fd0a732520

Observation 67224aed-3f40-479f-9cef-9fc1c9b79d8f · inbound

Geometric Latent Reasoning Induces Shorter Generations in LLMs cites this paper.

Geometric Latent Reasoning Induces Shorter Generations in LLMs Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-07-01T22:46:19.020444Z

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=2026-06-28T15:06:16.659461Z digest=sha256:ab2ac05e51763f34c697978684935c45207bcb83fd2fbb831fee2ebfa269cd90

Observation 5d55168b-467e-4cc0-8d06-32255da5347f · inbound

Spectral-Progressive Thought Flow for Lightweight Multimodal Reasoning cites this paper.

Spectral-Progressive Thought Flow for Lightweight Multimodal Reasoning Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-07-01T22:16:15.643472Z

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=2026-06-28T15:40:05.730181Z digest=sha256:e87f44c1a4fe79175f067c31cd5734c71e7abf987c6a24c529368a126693e5bd

Observation 32b647b4-fc87-4c0e-a04c-e3d7228e1b44 · inbound

Adaptive Latent Agentic Reasoning cites this paper.

Adaptive Latent Agentic Reasoning Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning

Reference 26

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T23:26:22.313329Z

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=2026-06-28T14:24:22.855486Z digest=sha256:572d0af8db1c6d87b5eeab621a586999c3c96ebab9698ffad0519b00ce42864f

Observation 05e2947f-0417-468f-ab2f-759b1bf5806e · inbound

TARPO: Token-Wise Latent-Explicit Reasoning via Action-Routing Policy Optimization cites this paper.

TARPO: Token-Wise Latent-Explicit Reasoning via Action-Routing Policy Optimization Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T12:56:57.572342Z

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=2026-06-28T01:40:33.563280Z digest=sha256:d3a9b0a1e9d3f70005a84ac07fc6eed3eed56eb7a4483c14aebdb18faacf3699

Observation 91141922-d346-4e61-9185-59c300a867fc · inbound

DyCon: Dynamic Reasoning Control via Evolving Difficulty Modeling cites this paper.

DyCon: Dynamic Reasoning Control via Evolving Difficulty Modeling Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-07-02T16:57:10.035720Z

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=2026-06-27T22:16:01.457276Z digest=sha256:392819d3c751e6628bd2ef4736bfe96f332033dc17c52ead7ab2ccdef7634fcd

Observation 3684e0bb-bbce-4634-bbec-4e6478a653ce · inbound

PearlVLA: Progressive Embodied Action-Plan Refinement in Latent Space cites this paper.

PearlVLA: Progressive Embodied Action-Plan Refinement in Latent Space Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-07-03T20:58:58.504416Z

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=2026-06-27T00:57:58.312567Z digest=sha256:408256687c80110d991b292a71457999c03a337bfaceee5ecd3caa715ee0823c

Observation 7c1c57b0-83f7-4998-b396-017b2dafdb1c · inbound

Modularized Reinforcement Learning on LLMs: From MDP Creation to Exploration and Learning cites this paper.

Modularized Reinforcement Learning on LLMs: From MDP Creation to Exploration and Learning Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning

Reference 183

Resolution
verified exact
arxiv_id, observed 2026-07-04T07:59:40.755629Z

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=2026-06-26T12:15:08.304150Z digest=sha256:9ed1066c3b770cd0b383db393075afebaaed5a161fae1edec9868611b4f9c04c

Observation 469b44de-0523-4457-8925-df8a8127ff23 · inbound

Latent-CURE for Breast Cancer Diagnosis cites this paper.

Latent-CURE for Breast Cancer Diagnosis Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning

Reference 19

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T06:14:19.197015Z

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=2026-06-30T06:11:00.336814Z digest=sha256:26df893f08ca4dff2575f82596b6a709bdec56949a91df8f2c65bd1196727cba

Observation 4367c273-f75b-46c0-ab43-193bff4d5ac8 · inbound

Is Your Model Thinking or Just Stagnating? PUMA: Diagnosing Reasoning Pathology via Phase-Momentum Alignment cites this paper.

Is Your Model Thinking or Just Stagnating? PUMA: Diagnosing Reasoning Pathology via Phase-Momentum Alignment Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-01T18:49:30.240588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T18:49:30.240588Z digest=sha256:83535242691957c924a35ae6c98c2b1559b71b34af171f733cfbd35a24bcb01f

Observation 1de0688b-6c75-425a-9f0a-d845ef2b3df4 · 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 Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-01T04:14:45.940119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T04:14:45.940119Z digest=sha256:1bb7df47f82e4e281d40fa320597733915d264c0e33c1ed54648616e1732c3ce