Paper Citation Record · LEDGER

Enhancing Latent Computation in Transformers with Latent Tokens

As of 18 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 7 inbound Pith citation observations for arXiv:2505.12629.

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

pith.paper-citation-record.v1
2505.12629 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:34:58.134241Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T11:39:36.749534Z

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

35 of 35 outbound references displayed

verified exact1
verified fuzzy20
unresolved13
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

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

Outbound references

Observation 2660d2d2-8d30-496f-8f77-14bedeab9911 · outbound

This paper cites The pitfalls of next-token prediction.

Enhancing Latent Computation in Transformers with Latent Tokens The pitfalls of next-token prediction

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:34:58.612537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c0fbf884-b59c-4cce-b14d-63f6e25e9f72 · outbound

This paper cites Learning to split and rephrase from wikipedia edit history.

Enhancing Latent Computation in Transformers with Latent Tokens Learning to split and rephrase from wikipedia edit history

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:34:58.600342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 64868e02-2bc4-4108-8481-72f6cee57585 · outbound

This paper cites an unresolved cited work.

Enhancing Latent Computation in Transformers with Latent Tokens Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:34:58.588220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4f18cb41-f266-49d8-9994-aced25cf94c9 · outbound

This paper cites Recurrent memory transformer.

Enhancing Latent Computation in Transformers with Latent Tokens Recurrent memory transformer

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:34:58.575989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5325594d-7bc2-4fd0-9c94-11e539920022 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Enhancing Latent Computation in Transformers with Latent Tokens Training Verifiers to Solve Math Word Problems

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T20:34:58.012991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb13d4ab-9a42-4a93-b7d6-4c42e79b57b9 · outbound

This paper cites Vision transformers need registers.

Enhancing Latent Computation in Transformers with Latent Tokens Vision transformers need registers

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:34:58.563745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e9dd7339-41ab-4a2a-98cc-33ba2c80e01f · outbound

This paper cites Hwang, Soumya Sanyal, Xiang Ren, Allyson Ettinger, Zaïd Harchaoui, and Yejin Choi.

Enhancing Latent Computation in Transformers with Latent Tokens Hwang, Soumya Sanyal, Xiang Ren, Allyson Ettinger, Zaïd Harchaoui, and Yejin Choi

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:34:58.551413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1ada566b-f7d4-4ff2-adec-7eaf3ef9f223 · outbound

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

Enhancing Latent Computation in Transformers with Latent Tokens Think before you speak: Training Language Models With Pause Tokens

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:34:58.539413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e94356a2-1dee-4f45-99c7-8dd65f86aa3c · outbound

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

Enhancing Latent Computation in Transformers with Latent Tokens Training Large Language Models to Reason in a Continuous Latent Space

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T20:34:58.029550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ccaa283-5e26-4846-ae00-55713a6e9bd6 · outbound

This paper cites Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen.

Enhancing Latent Computation in Transformers with Latent Tokens Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:34:58.527798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1c4ac7f6-d646-489a-823f-2b653c06aabe · outbound

This paper cites A Survey of Test-Time Compute: From Intuitive Inference to Deliberate Reasoning.

Enhancing Latent Computation in Transformers with Latent Tokens A Survey of Test-Time Compute: From Intuitive Inference to Deliberate Reasoning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T20:34:58.039319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a01da14b-2e77-4b67-8e79-9376e6248f37 · outbound

This paper cites Rethinking positional encoding in language pre-training.

Enhancing Latent Computation in Transformers with Latent Tokens Rethinking positional encoding in language pre-training

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:34:58.516010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ec7ffad1-3fd6-4076-8c65-e284338922f5 · outbound

This paper cites The NarrativeQA reading comprehension challenge.

Enhancing Latent Computation in Transformers with Latent Tokens The NarrativeQA reading comprehension challenge

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:34:58.503315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8be54c3c-5b80-46eb-a3b8-6229ef7bfa29 · outbound

This paper cites The power of scale for parameter-efficient prompt tuning.

Enhancing Latent Computation in Transformers with Latent Tokens The power of scale for parameter-efficient prompt tuning

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:34:58.488851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 09635350-7115-4014-8e0b-d91a807ed6df · outbound

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

Enhancing Latent Computation in Transformers with Latent Tokens Deliberation in Latent Space via Differentiable Cache Augmentation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T20:34:58.055004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32066d25-3792-40cb-b493-eed86df49989 · outbound

This paper cites The Llama 3 Herd of Models.

Enhancing Latent Computation in Transformers with Latent Tokens The Llama 3 Herd of Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T20:34:58.059019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4186178-2768-4431-baea-7b0087715267 · outbound

This paper cites The expressive power of transformers with chain of thought.

Enhancing Latent Computation in Transformers with Latent Tokens The expressive power of transformers with chain of thought

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:34:58.475294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3c47af7a-5c3e-4f16-af22-b6fc068bf47f · outbound

This paper cites Learning to compress prompts with gist tokens.

Enhancing Latent Computation in Transformers with Latent Tokens Learning to compress prompts with gist tokens

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:34:58.462897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 58039496-863a-4424-afa9-440615059d66 · outbound

This paper cites On the representational capacity of neural language models with chain-of-thought reasoning.

Enhancing Latent Computation in Transformers with Latent Tokens On the representational capacity of neural language models with chain-of-thought reasoning

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:34:58.450225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation af3e9f14-f81a-4c58-8b80-73826b5c1ba2 · outbound

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

Enhancing Latent Computation in Transformers with Latent Tokens Show Your Work: Scratchpads for Intermediate Computation with Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T20:34:58.074757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f32f07f-705a-4694-a7b7-dddae3ca2ac2 · outbound

This paper cites GPT-4 Technical Report.

Enhancing Latent Computation in Transformers with Latent Tokens GPT-4 Technical Report

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T20:34:58.078883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 093f6a4d-c5ca-43b4-a038-86cc29cf40f0 · outbound

This paper cites an unresolved cited work.

Enhancing Latent Computation in Transformers with Latent Tokens Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:34:58.436977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f1c077a7-74af-4515-96d1-39d97369ddca · outbound

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

Enhancing Latent Computation in Transformers with Latent Tokens Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T20:34:58.086601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8012d06-0624-471e-b8f6-2a8e82130e67 · outbound

This paper cites Roformer: Enhanced transformer with rotary position embedding.

Enhancing Latent Computation in Transformers with Latent Tokens Roformer: Enhanced transformer with rotary position embedding

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T20:34:58.090339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21f24f24-aadf-4bd7-8ff6-28d227590aaf · outbound

This paper cites Attention is all you need.

Enhancing Latent Computation in Transformers with Latent Tokens Attention is all you need

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:34:58.416870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 12119f1e-c743-4aea-9892-443f3d15619c · outbound

This paper cites Rethinking Thinking Tokens: Understanding Why They Underperform in Practice.

Enhancing Latent Computation in Transformers with Latent Tokens Rethinking Thinking Tokens: Understanding Why They Underperform in Practice

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:34:58.202077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d616eb76-35c5-425e-9bc6-52094121f264 · outbound

This paper cites Guiding language model reasoning with planning tokens.

Enhancing Latent Computation in Transformers with Latent Tokens Guiding language model reasoning with planning tokens

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:34:58.403710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2b3a21df-8774-4523-abbb-7cc08fe6ad04 · outbound

This paper cites Chi, Quoc V.

Enhancing Latent Computation in Transformers with Latent Tokens Chi, Quoc V

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:34:58.391361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2eaa1e81-40c2-4aae-8762-52f67b63cfb8 · outbound

This paper cites From decoding to meta-generation: Inference-time algorithms for large language models.

Enhancing Latent Computation in Transformers with Latent Tokens From decoding to meta-generation: Inference-time algorithms for large language models

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:34:58.377788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 33e22f2b-40a9-495b-ba77-6a3c4225046c · outbound

This paper cites Adaptive computation with elastic input sequence.

Enhancing Latent Computation in Transformers with Latent Tokens Adaptive computation with elastic input sequence

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:34:58.364526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cf81e409-b95a-4d94-b402-5b885f53af21 · outbound

This paper cites Understanding in-context learning from repetitions.

Enhancing Latent Computation in Transformers with Latent Tokens Understanding in-context learning from repetitions

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:34:58.350668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 466c75aa-3ef3-412f-9a3c-703751b003ec · outbound

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

Enhancing Latent Computation in Transformers with Latent Tokens Tree of thoughts: Deliberate problem solving with large language models

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:34:58.338166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 56d07192-55e5-43ff-bd90-9706bef2aea0 · outbound

This paper cites Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking.

Enhancing Latent Computation in Transformers with Latent Tokens Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-15T20:34:58.126231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21c757e7-c0f2-4a9f-b58c-4b44baf5e98d · outbound

This paper cites Scaling of Search and Learning: A Roadmap to Reproduce o1 from Reinforcement Learning Perspective.

Enhancing Latent Computation in Transformers with Latent Tokens Scaling of Search and Learning: A Roadmap to Reproduce o1 from Reinforcement Learning Perspective

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T20:34:58.130255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a5009a8-20ac-4e16-9ee2-2be809ee48a2 · outbound

This paper cites appending latent tokens.

Enhancing Latent Computation in Transformers with Latent Tokens appending latent tokens

Reference 35

Resolution: malformed identifier; raw_fallback, observed 2026-08-15T20:34:58.325333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

Observation 569aae9d-256f-4c22-8303-3d409fb6b78c · inbound

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

Implicit Reasoning in Large Language Models: A Comprehensive Survey Enhancing Latent Computation in Transformers with Latent Tokens

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-05T11:39:36.749534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51f3fc75-da7a-4111-8060-2dd8d503fda3 · inbound

LaRe: Latent Refocusing for Multimodal Reasoning cites this paper.

LaRe: Latent Refocusing for Multimodal Reasoning Enhancing Latent Computation in Transformers with Latent Tokens

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-04T00:15:16.759621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5205d6be-5022-4aa4-a982-bf9f5be6726b · inbound

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

The Latent Space: Foundation, Evolution, Mechanism, Ability, and Outlook Enhancing Latent Computation in Transformers with Latent Tokens

Reference 195

Resolution: unresolved; no resolver link, observed 2026-07-13T14:03:01.974171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7334555-d654-4008-bd98-193c16acfd20 · 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 Enhancing Latent Computation in Transformers with Latent Tokens

Reference 88

Resolution: verified exact; arxiv_id, observed 2026-05-09T23:54:45.595378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e7a25128-5d08-4aea-9d5e-ca9022630a93 · inbound

RuPLaR : Efficient Latent Compression of LLM Reasoning Chains with Rule-Based Priors From Multi-Step to One-Step cites this paper.

RuPLaR : Efficient Latent Compression of LLM Reasoning Chains with Rule-Based Priors From Multi-Step to One-Step Enhancing Latent Computation in Transformers with Latent Tokens

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:31:27.156587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4a858f80-b17f-493d-a3eb-597fbb840806 · inbound

Unlocking the Working Memory of Large Language Models for Latent Reasoning cites this paper.

Unlocking the Working Memory of Large Language Models for Latent Reasoning Enhancing Latent Computation in Transformers with Latent Tokens

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T08:03:13.925088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 08c6cdde-03a7-455c-9d78-fa6d53f62590 · inbound

From Reasoning Traces to Reusable Modules: Understanding Compositional Generalization in Language Model Reasoning cites this paper.

From Reasoning Traces to Reusable Modules: Understanding Compositional Generalization in Language Model Reasoning Enhancing Latent Computation in Transformers with Latent Tokens

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-07-03T20:38:56.080174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.