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Paper Citation Record · LEDGER

Enhancing Auto-regressive Chain-of-Thought through Loop-Aligned Reasoning

As of 10 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 9 inbound Pith citation observations for arXiv:2502.08482.

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

pith.paper-citation-record.v1
2502.08482 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T05:02:55.865021Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:14:33.240950Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-03T19:58:54.959830Z

Reference resolution

14 of 14 outbound references displayed

  • verified exact0
  • verified fuzzy9
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 40afff89-fab3-4cf2-b2c5-eaf2dcbb6677 · outbound

This paper cites This task involves computing the answer of arithmetic expressions containing numbers, basic operations (+, −, ×, ÷, =), and brackets.

Enhancing Auto-regressive Chain-of-Thought through Loop-Aligned Reasoning This task involves computing the answer of arithmetic expressions containing numbers, basic operations (+, −, ×, ÷, =), and brackets

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T05:02:55.952831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T05:02:55.858492Z digest=sha256:98790da8ecde4e16c0c171a9d9e717b2e63524fcb0bac6d94e257a8903b2da11

Observation ba26c13c-19de-4ca9-9ac7-8959b3cd6bf2 · outbound

This paper cites This task requires computing the minimum number of operations (insert, delete, or replace) needed to transform one sequence into another.

Enhancing Auto-regressive Chain-of-Thought through Loop-Aligned Reasoning This task requires computing the minimum number of operations (insert, delete, or replace) needed to transform one sequence into another

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T05:02:55.943474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T05:02:55.861820Z digest=sha256:ad9f6db58cd2282bdf9c7a19df516c6ce69fdef1073b73e385510b3bbef96345

Observation f4d009c5-dd83-4b2f-a902-e72c3c007202 · outbound

This paper cites This task identifies the length of longest strictly increasing subsequence in a numerical sequence.

Enhancing Auto-regressive Chain-of-Thought through Loop-Aligned Reasoning This task identifies the length of longest strictly increasing subsequence in a numerical sequence

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T05:02:55.933901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T05:02:55.865021Z digest=sha256:a633158ba40056ba34b652bfc5595178f832f6f01598758dbfd99e33ca7f142a

Observation 8c773fe7-621a-4505-9ae4-3617a483f610 · outbound

This paper cites Lightman, H., Kosaraju, V ., Burda, Y ., Edwards, H., Baker, B., Lee, T., Leike, J., Schulman, J., Sutskever, I., and Cobbe, K.

Enhancing Auto-regressive Chain-of-Thought through Loop-Aligned Reasoning Lightman, H., Kosaraju, V ., Burda, Y ., Edwards, H., Baker, B., Lee, T., Leike, J., Schulman, J., Sutskever, I., and Cobbe, K

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T05:02:55.990068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T05:02:55.838074Z digest=sha256:e4c1d8cedfa5f0cec02bbb2750e8a6973294831f292cf60eaceeab26b8d73dae

Observation fa34c117-8ece-4113-ad7e-f93c932be89b · outbound

This paper cites LIFT: Improving Long Context Understanding Through Long Input Fine-Tuning.

Enhancing Auto-regressive Chain-of-Thought through Loop-Aligned Reasoning LIFT: Improving Long Context Understanding Through Long Input Fine-Tuning

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-08T05:02:55.841782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:02:55.841782Z digest=sha256:c6048ed32cfd70073cec3a0daa4f75c4accdcc63ca2e939dac4a70e9b26926fe

Observation 7063e3d9-188f-4ee9-86fd-bebd08f67bda · outbound

This paper cites Conditions for Length Generalization in Learning Reasoning Skills.

Enhancing Auto-regressive Chain-of-Thought through Loop-Aligned Reasoning Conditions for Length Generalization in Learning Reasoning Skills

Reference 8

Resolution
metadata mismatch
local_arxiv, observed 2026-08-08T05:02:55.891969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T05:02:55.845676Z digest=sha256:590283b92fb5699ce8a1a1a821b7f277ccb12cd29568575862c55fea10ec6d97

Observation a3e7ea25-04e2-42ec-8571-985caa97aebb · outbound

This paper cites Zelikman, E., Wu, Y ., Mu, J., and Goodman, N.

Enhancing Auto-regressive Chain-of-Thought through Loop-Aligned Reasoning Zelikman, E., Wu, Y ., Mu, J., and Goodman, N

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T05:02:55.980524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T05:02:55.849182Z digest=sha256:e3b3fe99f193ae470ca4ef343b5b2feb1b32abc8582fcdcc898b8f374e556a21

Observation c7beef4f-9e04-478d-9893-682651f3c52b · outbound

This paper cites 11 Enhancing Auto-regressive Chain-of-Thought through Loop-Aligned Reasoning A.

Enhancing Auto-regressive Chain-of-Thought through Loop-Aligned Reasoning 11 Enhancing Auto-regressive Chain-of-Thought through Loop-Aligned Reasoning A

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T05:02:55.961799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T05:02:55.855593Z digest=sha256:2d08d55507740008ff61244bc9bc5df94f3bbac98c29efa24b635000397963fb

Observation 3c632ece-aebe-49ba-81de-8d501af621e5 · outbound

This paper cites Looped Transformers for Length Generalization.

Enhancing Auto-regressive Chain-of-Thought through Loop-Aligned Reasoning Looped Transformers for Length Generalization

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-08T05:02:55.822433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:02:55.822433Z digest=sha256:7fe098732c3c8769e2df65164177fc294f2335af98b1b75a1ab00ae93415208f

Observation be318769-2dfa-4c80-847c-192822c5f237 · outbound

This paper cites Li, S., You, C., Guruganesh, G., Ainslie, J., Ontanon, S., Zaheer, M., Sanghai, S., Yang, Y ., Kumar, S., and Bho- janapalli, S.

Enhancing Auto-regressive Chain-of-Thought through Loop-Aligned Reasoning Li, S., You, C., Guruganesh, G., Ainslie, J., Ontanon, S., Zaheer, M., Sanghai, S., Yang, Y ., Kumar, S., and Bho- janapalli, S

Reference 2020

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T05:02:55.999336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T05:02:55.834434Z digest=sha256:2d65eaa176bde608a5a01bdd3d0e01049a3b0d688e66f9dda7980100a6fa6a3d

Observation 3ded1b73-d1da-44d4-bc89-b81076144056 · outbound

This paper cites Decomposed Prompting: A Modular Approach for Solving Complex Tasks.

Enhancing Auto-regressive Chain-of-Thought through Loop-Aligned Reasoning Decomposed Prompting: A Modular Approach for Solving Complex Tasks

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-08T05:02:55.830621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:02:55.830621Z digest=sha256:92f2e5d7a3d7a6f6f6931bdfa0dc270eb52e15f3eb25d154f5144ccd76526f57

Observation 18ac9875-dc2e-4c03-8fa9-5ce5df385064 · outbound

This paper cites Zhou, C., Liu, P., Xu, P., Iyer, S., Sun, J., Mao, Y ., Ma, X., Efrat, A., Yu, P., YU, L., Zhang, S., Ghosh, G., Lewis, M., Zettlemoyer, L., and Levy, O.

Enhancing Auto-regressive Chain-of-Thought through Loop-Aligned Reasoning Zhou, C., Liu, P., Xu, P., Iyer, S., Sun, J., Mao, Y ., Ma, X., Efrat, A., Yu, P., YU, L., Zhang, S., Ghosh, G., Lewis, M., Zettlemoyer, L., and Levy, O

Reference 2022

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T05:02:55.971557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T05:02:55.852125Z digest=sha256:c9c0ee32574be8a4edc93bbc6a18682a8bf408527c0064017d822ef69fe8df15

Observation 7668a147-c060-4f66-9542-3e25fbab4e2b · outbound

This paper cites Hendrycks, D., Burns, C., Kadavath, S., Arora, A., Basart, S., Tang, E., Song, D., and Steinhardt, J.

Enhancing Auto-regressive Chain-of-Thought through Loop-Aligned Reasoning Hendrycks, D., Burns, C., Kadavath, S., Arora, A., Basart, S., Tang, E., Song, D., and Steinhardt, J

Reference 2023

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T05:02:56.008624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T05:02:55.826456Z digest=sha256:f011468d4e79c0ba0d6c2b0080b14bb80f3c04d2d6e037b70f7f6f465a6d8467

Observation cec1b51e-72af-46b9-a1e6-6cfa1560a1b0 · outbound

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

Enhancing Auto-regressive Chain-of-Thought through Loop-Aligned Reasoning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-08T05:02:55.818469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:02:55.818469Z digest=sha256:344251ff8d90f04f1487adfbd7e42fd30e3e92a90b52f6527ded9955a6b96aa0

Pith citing papers

Observation bb860176-afdd-46c6-9882-d04c34b565db · inbound

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

CODI: Compressing Chain-of-Thought into Continuous Space via Self-Distillation Enhancing Auto-regressive Chain-of-Thought through Loop-Aligned Reasoning

Reference 133

Resolution
verified exact
arxiv_id, observed 2026-05-17T23:14:57.644981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-17T23:14:57.501341Z digest=sha256:5c9eaab92dcccb1aec90a800e4eb45bd675062ac321c00cfe87b0431f6376659

Observation caa28759-3517-4e23-a4e8-bc3cd5722d79 · inbound

A Survey on Latent Reasoning cites this paper.

A Survey on Latent Reasoning Enhancing Auto-regressive Chain-of-Thought through Loop-Aligned Reasoning

Reference 127

Resolution
unresolved
no resolver link, observed 2026-08-06T19:14:33.240950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:14:33.240950Z digest=sha256:cc79a6ee90804cb509fef0a5a04a74b49ed6cb8636446eaa17540bb24f68444e

Observation acac367c-6853-4a12-bfdb-52a0ae99585f · 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 Enhancing Auto-regressive Chain-of-Thought through Loop-Aligned Reasoning

Reference 232

Resolution
unresolved
no resolver link, observed 2026-08-06T17:54:18.023247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:54:18.023247Z digest=sha256:c9b6e52672e04390ee35214b316e91c84cba19aa304b7f956a49365cbb3c3787

Observation bef66cad-5302-49c5-8eaf-3b2991ea9008 · inbound

Beyond Memorization: Extending Reasoning Depth with Recurrence, Memory and Test-Time Compute Scaling cites this paper.

Beyond Memorization: Extending Reasoning Depth with Recurrence, Memory and Test-Time Compute Scaling Enhancing Auto-regressive Chain-of-Thought through Loop-Aligned Reasoning

Reference 75

Resolution
verified exact
arxiv_id, observed 2026-05-18T20:51:50.825149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-18T20:49:26.966293Z digest=sha256:5047b51346326e9010fc2d11a33e5e3bb7a74c4d6672d6476cca36946ec4f908

Observation e1e2dbd0-a1ec-4b87-8e99-9c095c0739de · inbound

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

Implicit Reasoning in Large Language Models: A Comprehensive Survey Enhancing Auto-regressive Chain-of-Thought through Loop-Aligned Reasoning

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-05T11:39:36.816721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:39:36.816721Z digest=sha256:fab974119932bb59a2373a1c179f5d3638ac3b9c117fe961146fdadce5157402

Observation c26213f1-e50b-4f10-bde6-cb6dd579897d · inbound

SpiralThinker: Latent Reasoning through an Iterative Process with Text-Latent Interleaving cites this paper.

SpiralThinker: Latent Reasoning through an Iterative Process with Text-Latent Interleaving Enhancing Auto-regressive Chain-of-Thought through Loop-Aligned Reasoning

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-17T23:05:25.402697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-17T23:03:38.892619Z digest=sha256:0dc1c4258a95cdc13af176cad7bd337fcddc45d9f57356016cbe370fdbc5c146

Observation 04a2047a-28f0-4b28-b13d-249b1b40036d · inbound

DAG-MoE: From Simple Mixture to Structural Aggregation in Mixture-of-Experts cites this paper.

DAG-MoE: From Simple Mixture to Structural Aggregation in Mixture-of-Experts Enhancing Auto-regressive Chain-of-Thought through Loop-Aligned Reasoning

Reference 6

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T21:16:14.417083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-28T17:14:53.648013Z digest=sha256:27a8e1201c762a3a22fb44fae170a8170760d95e62bac55276a015f9f0da53a4

Observation d8f100ec-b7c8-43b0-8eb8-0a6a951c7c16 · inbound

Recursive Scaling in Masked Diffusion Models cites this paper.

Recursive Scaling in Masked Diffusion Models Enhancing Auto-regressive Chain-of-Thought through Loop-Aligned Reasoning

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T19:58:54.961186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-27T01:44:05.022187Z digest=sha256:c4f2229cc854350d6a32afa3a8ef70759ef9e45a3cde36b470498ecb487e4a95

Observation 4a4d366e-0137-43fb-9530-013e54924497 · inbound

When Does Recurrence Become an Algorithm? Convergence Selection in Weight-Tied Looped Transformers cites this paper.

When Does Recurrence Become an Algorithm? Convergence Selection in Weight-Tied Looped Transformers Enhancing Auto-regressive Chain-of-Thought through Loop-Aligned Reasoning

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-01T10:14:11.706221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T10:14:11.706221Z digest=sha256:c7ff742fe42538a63ad33235447eae7667bef6844c78ec9e3d2239d9eb2cde71