Pith. sign in

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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T05:02:55.858492Z digest=sha256:fd80411d805de27a20fd6cbd1fd2eb47e4c73929296c8f8440766dadbc43c4ec

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T05:02:55.861820Z digest=sha256:613e0d29479f5ef77d1f88f14965d1f1c42acb2d8242f59da75ac2e123d40604

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T05:02:55.865021Z digest=sha256:7c836c543b484effae3996a810f9a19a2750d883f0d4d297a022da247fc31b60

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T05:02:55.838074Z digest=sha256:ec4cd87b9c264308c33f896e68dc81879706dfcf7dcc522e82d875cadbe050bb

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=sha256:9e31c565ccfa905d349201023a65088f9af0009be660b5ef78a1627f7c682072

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T05:02:55.845676Z digest=sha256:4820dfe1bfc298fb017d6f561c7dc50fe816df6187b4d25351e08f8672909bbb

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T05:02:55.849182Z digest=sha256:4cb53c84fc1b1fee24ea39777da1bb13ad3ed1ef52a1bca6fc7549337da38ca3

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T05:02:55.855593Z digest=sha256:c3b434c0099bf98e930bc810cec70f9f7b5fb9e3d9e07870e2bd674d929d3b2a

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=sha256:0ccd30fa2c04465accceca1e332f4c1bc6c5c3d2430d2228f89d3cbe3842a2d8

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T05:02:55.834434Z digest=sha256:52adc281b03d63b2bd7c22ee76abe98c1b8a7304ce4e8d9ac78329aefb4f28a7

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:ac3088810674cf5c7f5797ec8896a6068b6c8160a816ea2697693f9fc1bddad1

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T05:02:55.852125Z digest=sha256:f8fdbdec29d6ba7117c9b6bc660e28146319940527f933656bead4676b4fd681

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T05:02:55.826456Z digest=sha256:ea8dc9dd4d8d0a8ffcb7b4e6165667e539e2beb7acf0b86679f86caaa1259a83

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:b730630709c90e5e5527fc67c57357842a7ece11723291f69e4b1f18af1d2513

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-17T23:14:57.501341Z digest=sha256:d22eaddce8544247712d113e58ac83757118a6860e59ba270f226d2b30b17e30

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=sha256:41ca0679a82cc09536bab54debd31248e0b7f55cbe4e26bec309197a167a7b1e

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=sha256:2ebba5b82ccf203b9af55e1aa0e4de4d52717f9ac15f2d31be8b28b184e43466

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-18T20:49:26.966293Z digest=sha256:e22fcaa12109415cf365130cc462658aaeebfe7b83c1bb79007f11adb168cf2c

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=sha256:88d919cfa5195d977d3f409e9db613b22dfc367ef139415ac04863cd80c5886f

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-17T23:03:38.892619Z digest=sha256:dbb956e6939b04495f6711ceecc64e4e4fcd5f65d64adeb37eff574fdce06f05

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-28T17:14:53.648013Z digest=sha256:567cb0c632a04a4fcbddaa40d844b7bd3f94194bc08ee4df6f0f9462e05473ff

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-27T01:44:05.022187Z digest=sha256:ef47779b603efd1521da0fcf35e8924476f2839597b2490e2846e153a542b1ef

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=sha256:65db04182057382d018a66e0d498faf7c10a06c0a2faefe3e0316df0376380d3