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Paper Citation Record · LEDGER

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

As of 22 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 31 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 84 of 84 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 31 of 31 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:32:23.044552Z

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

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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:ac870844cfaba5dc78894fbad7f69535633e78bdf4f58e1161305c91c2664c72

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
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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=sha256:6626bb2804f5b7269fc0faef0e2ab073387d44e6dc6727dfc0938e7d767e95b7

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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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

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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=sha256:24286830066e76be032bfc8c6a1fd3ef84d5350a102506edd6b4f4b4d4308368

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 2026-08-22T06:32:14.747728+00:00.

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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

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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:db4c67631652bb5b3e70f1f4c26b8276c56d37a4478d851f6dd7f1d1c8772ba1

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

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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=sha256:451fdda59c08d449402fa72432d7e4c3dd499452f268549fa20aa181e5d1ef4d

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

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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=sha256:7a29418293b5f6f4686eae5412a90dfb879128ab9527ea21c1597bfc48e0c04e

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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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 2026-08-22T06:32:14.747728+00:00.

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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

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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:b425bae2c5a607ab00d0dcb5a0e9df2274b9908bf03dd64ea86d0f8b7e952b23

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

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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=sha256:78f5ece57ed6d58e5a564734142f4110c01376b221d0c7050504205e65f9dd72

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

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:22:32.574089Z digest=sha256:8f66919f4725a8d98f88798ff22e7980962b0bb2736642d35dcb1ea2126ed3ff

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T05:22:32.585234Z digest=sha256:9daf024a2465aaef917ab3f604d63b53be2cbca72ae8eb3fee5cb0e11f525e3f

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

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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=sha256:4b43d3d67d5801fb038b9015a0f6cc2f3227d3ed65dee20248476c28c2677e2a

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T05:22:32.603063Z digest=sha256:127f500feddb1ed88758f67aae6dae7ec42a703e45863eb52572d129c2ea30e8

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:c10a03620057d4c33745127451fa976e1b78d4cde53abf1c779768d758a947f1

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T05:22:32.698651Z digest=sha256:dcaa72ab6b9ef4f345133ccb981c80e1fdc8e470e4fd3681779ae14b6348a9bd

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

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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=sha256:755aa627ecfdce616f5ea6fd4a3e2bfee8963b08a32b976af80e4b73752fbfdf

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

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

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source=arxiv_source observed=2026-08-09T05:22:32.863441Z digest=sha256:9597d0df649cd91bc1968c77cd59803346c60a347bea58175766d5633a0b75ae

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

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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=sha256:6c16f7305803f88029d80f6237722dbba7cf5e5d186c04c1ed7d98655c54b803

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:22:32.876998Z digest=sha256:97b8435159cf08f491b8d5b471c02d0aca0118a8a9c1fce0584d24c4778f8961

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

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T05:22:32.883521Z digest=sha256:2f817bdd545b7724f6e495b9e39ff3fae838272df500d05546bd5b5193c32658

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

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:22:32.890490Z digest=sha256:47d7adbd9330ac180872cc1d832578e24c7d5871ba9a6118b177e17c51d462f5

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T05:22:32.897309Z digest=sha256:bbb4c9f18bfaeae3ed8a9a5473b2072ab1d826f8f329dc0470ee02062dfd6a5e

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

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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=sha256:9fdcc2df8a2489d115b40bfd200fd8aa225bd6388d7072f11f240ad1bc8848b6

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 2026-08-22T06:32:14.747728+00:00.

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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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:22:33.061214Z digest=sha256:c88c8e7a7a416ffa7d6419c142e8ac7b4de4fd214363453dedc6df5be1cd39d4

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

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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:ce4c81732f4883928010e01a4ab4139633d259bf5e4258dd2d92bdf9a876e8ea

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

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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:d4c87f285a35c02e86a350dfe26e6e9fb98adc8061f0e006231accf7a4a0e267

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

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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:a1525019de031a038a3f0bf42f033843c30e2c24b421df45201ac68bdc79dbf6

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:22:33.095613Z digest=sha256:822ab404095ed78dfecb742affc8a7bdb78440f6370b787c0be752c69f049f92

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:22:33.100793Z digest=sha256:ec423bf42c704467abc130f433c1e6767ef45966b1f6f755c7e04728dce5a0da

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:22:33.105528Z digest=sha256:70b8faaf04c04bddddf542ac113bde498fa0b84a1856dc3d541db385055e1bfb

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

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

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source=arxiv_source observed=2026-08-09T05:22:33.111781Z digest=sha256:988a36a6595aa503fa340c6d5b4f7108618b3f8ee5a7649a2f980cd8dd5b21a8

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

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

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source=arxiv_source observed=2026-08-09T05:22:33.116839Z digest=sha256:8526bc38738f16aa2e117eb1ac7e8be3196f11efd8a429d169ec3dea4172a4f1

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

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

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source=arxiv_source observed=2026-08-09T05:22:33.207513Z digest=sha256:70ac7e2d03aede7d85908f518614df42d43d8ee31b9bf6bf0753f4dbac0e8aee

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

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:22:33.286278Z digest=sha256:28dc1baed548f6cabec2db209be120fbed64da62744113d14611e51266636986

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

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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=sha256:4b28fdf58e60b4dcae2808ca6ae89f71c0cf44b674e076fa2de5007eb2e643be

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

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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=sha256:1ef934d51332a4a754f3c71a86f8284444ac87ad87eb7a85532e5312fb37fce8

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

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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:c2433112fe305e79dc93eaae7f9902050cd60a772fd2c3198eae1ef37a8613e0

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

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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:cf02dbf565662aa4f6844f9030bd77c17b6d93214bd955e5b3b302127a2e62ba

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

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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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T05:22:33.457926Z digest=sha256:13bb558d4bb7d631bd273d4dedf439188fa59aba80413a8872c7f5443dd44e3a

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

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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=sha256:25683186cb11add4a085d15d2a4e86b8ad2bd99437891a8557722ad5d82fa951

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

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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:c28b96c0bc81e90149ccd31b2ac053990deabc294c881928df65711a0d5386a7

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

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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:cd4a19f029d68b7fb98183575ecc0b5bf9f61271eaa48a8b91ffe9509e3366fa

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

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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=sha256:4bcaf165ca87ae6194cd26fdeba75554896ab668e8f9b43a86cf0d714d87a667

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

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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:ce2e7daaae93a4b468b119e1c3b7bfb0095693d7fa6ab1ae8f88080bcb4f01df

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

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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=sha256:59195cd6ce9cfa0052412d9a84da1c7279e361cfd5836d28505e10941dcbaafa

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

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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=sha256:01758802484c3cf95aa0b43f2bac7bbf84a9245a524f9e0e6aedf333a2341daa

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

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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=sha256:02d70ba77ca4223227100151fbca297b7be668ff068952ff93ed609cb6d784c0

Pith citing papers

Observation 61fd722c-90a8-4790-912b-def2dc6d2b0c · inbound

WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models cites this paper.

WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning

Reference 37

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unresolved
no resolver link, observed 2026-08-11T05:32:16.568234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:32:16.568234Z digest=sha256:b70227a17d63b421ed50b31af0e9ea9f9dd7640807af08f7188f645cccb6dee1

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-14T01:29:56.480020Z digest=sha256:c431629e82eb30b63d2456169eb3ce18d0ce91197d5da4bbea03dbc6953887d7

Observation ca3e3816-92fd-4359-ad89-41f11e5cd87e · inbound

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

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

Reference 29

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no resolver link, observed 2026-08-16T05:32:23.044552Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:32:23.044552Z digest=sha256:7071a9dae57eb8e9384d17574faaac2d7aa333aa3969c95d83bdea453ad83b4f

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

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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=sha256:88ef1ff398f5b5147e0661ebb567fda4471bfcd914d26ff38badb3f6253fa119

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

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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=sha256:0097bc706ad9e83f864743cbd1550647bf8ab28441eae21977192d10bea25ff4

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

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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=sha256:5cc8c8f4042ff9bc44322cecdb213b462117af12381402fd8679016cb67f4e94

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

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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=sha256:3d21d7544e690b08d9c438c735e71c2f9b0bfbc84ea6157525adbbc9762f38a7

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

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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:ca01671ff8d4eb07290cf284c62966dd0bb1444cfc26b05cb5d37d8252bddea6

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

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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=sha256:3807c076cd43b87833d9fdc50a706c4d721e74d7e45b836e80ae63874ac176e9

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

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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=sha256:2ddc01df2728d8a837a231bfcaeff12fe1c6aad2d3c2143cdc2f2375e356f9fb

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-10T18:27:36.132030Z digest=sha256:977d3b5cf48298be34557826d3f5340558056d08aa8127374c59e551e4e61e65

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

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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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-10T05:45:50.406959Z digest=sha256:2bd0e0cd2ef60df0ae0499665000fa1b71e721dbac76b8b0f5f9c96e797a31d9

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-10T05:42:41.112158Z digest=sha256:1a6de18dfaac377dcf7b2c0bd6ae38e2dcbf3b51ccc1d15e88c15a8e64e10c59

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-12T00:54:23.508845Z digest=sha256:a65fe8e15787fefe2d15350a9ffb0c590b3fd8f737ffa8e13ab034959e1ecdf7

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-09T23:51:47.724033Z digest=sha256:bb31d11babcdaf983b4423c9138291725296ee50272ae4d10c780ae6cbeb83f1

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-07T13:33:21.840958Z digest=sha256:085f06163f7997b178f5ed2df39b3d3130c7de77a66c5ec5e3031bedb907a40a

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-08T10:19:08.451445Z digest=sha256:72e35af31ef4d5909f8a6d1464abf26bde61a04ff11bd0a974ad39072886b9f9

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-15T01:49:14.934586Z digest=sha256:602ad51f7b290532d441cec25679da5957867aedd8738a247154edd008390df9

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-29T14:29:10.010212Z digest=sha256:42069feab9f8a2f2dd943017d3040925a1206991f591615f61c8cd3a0971a4f9

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-28T15:48:48.046003Z digest=sha256:a6451428de6a155b4cbe5136428d6c501b3d39574f16faf4091576ca6d5acba6

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-28T15:06:16.659461Z digest=sha256:45cb608be3d867c8e9fcaab70916e52cf70a84c8e2e5b8edfed1713582bfb5de

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-28T15:40:05.730181Z digest=sha256:23632bb4b50192c043c37bb05a2d383dc33d3f5e8205efea6070f98b9005f134

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-28T14:24:22.855486Z digest=sha256:69e446aa753dc5a6d7a4f1c822cab92345117ec01628073e2bc8745d7794a97c

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-28T01:40:33.563280Z digest=sha256:d2b96f1de7993f14c3df3cf4caf247aaf782a27a2a4142a694009eacdd410fb8

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-27T22:16:01.457276Z digest=sha256:5e36f2ccafbcf4b9abe5e0fa4707379b70568a508a208d5af002a52449e54272

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-27T00:57:58.312567Z digest=sha256:7ddf28a25460b3f63dca5a88634f17c4d57cc61ed80080f332e87e39dc69550c

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-26T12:15:08.304150Z digest=sha256:880841915ca341014d2f5481612298cadccec5a8ebb7764d418b533d208f809e

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T06:11:00.336814Z digest=sha256:b9c491dbce46882b1a23ccadae3984368019d4f15da2f18f0fcdaef28a145f77

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=sha256:4bfc86a026d6a223b5371d5e9deb1b7538e5f8cc0968253bd49ec90fbe705e5a

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=sha256:7d4985533ae1913039b5f3f56bc49406526bc7f665245ce079ebdcfe8e09296d

Observation 8256d474-3a6e-4730-8d9f-48eac2aa2050 · inbound

Latent Thought Credit: Multi-Answer Credit Assignment for Latent Reasoning cites this paper.

Latent Thought Credit: Multi-Answer Credit Assignment for Latent Reasoning Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-15T15:12:34.074264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:12:34.074264Z digest=sha256:a08a96b4e6e744af6218379d2f0ca74cfe103aa0a8e1bcd9f3fb7e54f607e204