Paper Citation Record · LEDGER

Learning Composable Chains-of-Thought

As of 18 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 1 inbound Pith citation observation for arXiv:2505.22635.

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

pith.paper-citation-record.v1
2505.22635 v1

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:08:44.455938Z

measured 66 of 66 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T01:13:11.483599Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T20:38:56.094620Z

Reference resolution

65 of 65 outbound references displayed

verified exact0
verified fuzzy39
unresolved26
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c28948ff-3978-43d8-9761-68b6febabeed · outbound

This paper cites Compositional reasoning in early childhood.

Learning Composable Chains-of-Thought Compositional reasoning in early childhood

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:55.388805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ec8a5817-9056-456d-aadb-fe5ee28edeb6 · outbound

This paper cites Werchan, Anne G.E.

Learning Composable Chains-of-Thought Werchan, Anne G.E

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:55.105284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e02937ee-42fb-4f4d-8a8a-97f875b7b175 · outbound

This paper cites Meta-learning to compositionally generalize.

Learning Composable Chains-of-Thought Meta-learning to compositionally generalize

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:54.846396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f59cf1d3-097c-46b7-b2b2-cfc9a41370de · outbound

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

Learning Composable Chains-of-Thought Hwang, Soumya Sanyal, Xiang Ren, Allyson Ettinger, Zaid Harchaoui, and Yejin Choi

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:54.577639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0d1082ed-57f1-4d28-a2eb-40f625a5ddb4 · outbound

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

Learning Composable Chains-of-Thought DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T13:08:32.114264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e8f0f72-2c6f-4d03-9b94-b75acfb6abda · outbound

This paper cites QwQ-32B: Embracing the Power of Reinforcement Learning, March 2025.

Learning Composable Chains-of-Thought QwQ-32B: Embracing the Power of Reinforcement Learning, March 2025

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T13:08:32.267560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 039126cc-ed04-4952-b393-54e363e75dd7 · outbound

This paper cites Easy-to-hard generalization: Scalable alignment beyond human supervision.

Learning Composable Chains-of-Thought Easy-to-hard generalization: Scalable alignment beyond human supervision

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:54.280669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e55323f0-aab2-4f24-aaed-4e4685a950ec · outbound

This paper cites The unreasonable effectiveness of easy training data for hard tasks.

Learning Composable Chains-of-Thought The unreasonable effectiveness of easy training data for hard tasks

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:54.040112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 049ab1d7-c511-485e-956c-adec79317438 · outbound

This paper cites Chi, Quoc V Le, and Denny Zhou.

Learning Composable Chains-of-Thought Chi, Quoc V Le, and Denny Zhou

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T13:08:32.632804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eba5c8bd-c28c-407f-8efa-58ac3f28ec80 · outbound

This paper cites Large language models are zero-shot reasoners.

Learning Composable Chains-of-Thought Large language models are zero-shot reasoners

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:53.753189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5a0ca13f-cc1b-43e2-b701-9a8f783dd992 · outbound

This paper cites s1: Simple test-time scaling.

Learning Composable Chains-of-Thought s1: Simple test-time scaling

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T13:08:32.818804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5b596b5-2886-448f-9675-e08f634b64dd · outbound

This paper cites Merging Models with Fisher-Weighted Averaging.

Learning Composable Chains-of-Thought Merging Models with Fisher-Weighted Averaging

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:53.475820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5ee0f428-e733-4f69-a961-63fdbe666b35 · outbound

This paper cites TIES-merging: Resolving interference when merging models.

Learning Composable Chains-of-Thought TIES-merging: Resolving interference when merging models

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:53.193050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1118c4c5-608d-403a-a6fe-966aca19a3a6 · outbound

This paper cites STaR: Bootstrapping Reasoning With Reasoning.

Learning Composable Chains-of-Thought STaR: Bootstrapping Reasoning With Reasoning

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:52.920195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation aae50283-a55b-492a-b66f-36dd053a5e85 · outbound

This paper cites RAFT: Reward ranked finetuning for generative foundation model alignment.Transactions on Machine Learning Research, 2023.

Learning Composable Chains-of-Thought RAFT: Reward ranked finetuning for generative foundation model alignment.Transactions on Machine Learning Research, 2023

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T13:08:33.682704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4284b2bf-6ff9-4fc0-a923-4c3c3384789c · outbound

This paper cites Scaling relationship on learning mathematical reasoning with large language models.

Learning Composable Chains-of-Thought Scaling relationship on learning mathematical reasoning with large language models

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:52.593241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0c0cf8a2-a711-467c-8f1c-dae898e927ed · outbound

This paper cites The unreliability of explanations in few-shot prompting for textual reasoning.

Learning Composable Chains-of-Thought The unreliability of explanations in few-shot prompting for textual reasoning

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:52.276989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 49ba6899-b7f4-464a-b06c-b325f9e5053a · outbound

This paper cites SKILL-MIX: a flexible and expandable family of evaluations for AI models.

Learning Composable Chains-of-Thought SKILL-MIX: a flexible and expandable family of evaluations for AI models

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:51.970607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f9164d15-b095-4b1a-a91d-0067f0f1b28e · outbound

This paper cites an unresolved cited work.

Learning Composable Chains-of-Thought Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T13:08:35.361630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc42454a-3d34-46f6-8c4a-3d7ca19474b9 · outbound

This paper cites GPT-4o System Card.

Learning Composable Chains-of-Thought GPT-4o System Card

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T13:08:35.476119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 681e5d8d-5346-41a6-a6db-059f338cab1c · outbound

This paper cites Can models learn skill composition from examples? InThe Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024.

Learning Composable Chains-of-Thought Can models learn skill composition from examples? InThe Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:51.716691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 43f2a4da-0c6c-4bfb-a96e-bff8cc63a6f4 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Learning Composable Chains-of-Thought Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T13:08:35.702537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a2ba458-d582-46aa-b00d-54edf6309ce6 · outbound

This paper cites Qwen2.5 Technical Report.

Learning Composable Chains-of-Thought Qwen2.5 Technical Report

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T13:08:35.757977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0189fd2-8664-4b40-be36-cd2be435fa2d · outbound

This paper cites LoRA: Low-rank adaptation of large language models.

Learning Composable Chains-of-Thought LoRA: Low-rank adaptation of large language models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T13:08:35.851036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0bcc12b1-8edf-427b-a2f5-73ae639ee9b0 · outbound

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

Learning Composable Chains-of-Thought From Explicit CoT to Implicit CoT: Learning to Internalize CoT Step by Step

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T13:08:35.930049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95421e71-a70d-4eea-b9ba-586085a1a82d · outbound

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

Learning Composable Chains-of-Thought Training Large Language Models to Reason in a Continuous Latent Space

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T13:08:35.979493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c383963-19af-428f-9596-bff8b41ce6ec · outbound

This paper cites Fodor and Zenon W.

Learning Composable Chains-of-Thought Fodor and Zenon W

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:51.366599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 331c5e8e-bf3f-4859-821f-cc611dfe1234 · outbound

This paper cites Lake and Marco Baroni.

Learning Composable Chains-of-Thought Lake and Marco Baroni

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:51.064761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4ee53a95-ff5c-47a6-b664-bb7f5390172c · outbound

This paper cites Limits of transformer language models on learning to compose algorithms.

Learning Composable Chains-of-Thought Limits of transformer language models on learning to compose algorithms

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:50.700699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a2cca020-8f54-49c6-b3ad-32b381b03e1a · outbound

This paper cites COGS: A compositional generalization challenge based on semantic interpretation.

Learning Composable Chains-of-Thought COGS: A compositional generalization challenge based on semantic interpretation

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:50.382080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1874d6de-49a4-40ba-9538-fad26a638c0e · outbound

This paper cites Generalization without systematicity: On the compositional skills of sequence-to-sequence recurrent networks.

Learning Composable Chains-of-Thought Generalization without systematicity: On the compositional skills of sequence-to-sequence recurrent networks

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:50.084312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a33b8a97-df3e-4436-aa07-fc5a633d98c3 · outbound

This paper cites Learning to recombine and resample data for compositional generalization.

Learning Composable Chains-of-Thought Learning to recombine and resample data for compositional generalization

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:49.838040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2d31f34b-5384-4342-a0ac-ed3df7cfdeda · outbound

This paper cites Compositional semantic parsing with large language models.

Learning Composable Chains-of-Thought Compositional semantic parsing with large language models

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:49.515567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 061fb0b0-8de4-491d-b5ef-3f31665c3af0 · outbound

This paper cites Chain of thought empowers transformers to solve inherently serial problems.

Learning Composable Chains-of-Thought Chain of thought empowers transformers to solve inherently serial problems

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T13:08:36.491582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 321f54fc-fed6-4214-993b-7708ae025723 · outbound

This paper cites Dissecting chain-of-thought: Compositionality through in-context filtering and learning.

Learning Composable Chains-of-Thought Dissecting chain-of-thought: Compositionality through in-context filtering and learning

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:49.264046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 336b633b-f13e-408f-b557-5030fc248593 · outbound

This paper cites Skills-in-context: Unlocking compositionality in large language models.

Learning Composable Chains-of-Thought Skills-in-context: Unlocking compositionality in large language models

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:48.973246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 951e515f-63c7-4b50-898e-a241a22e60ce · outbound

This paper cites Meta Reasoning for Large Language Models.

Learning Composable Chains-of-Thought Meta Reasoning for Large Language Models

Reference 38

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Source-reported events for the cited work

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Observation b2cb64f5-d061-4e23-8558-bb794d5681fb · outbound

This paper cites Decomposed prompting: A modular approach for solving complex tasks.

Learning Composable Chains-of-Thought Decomposed prompting: A modular approach for solving complex tasks

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:48.579622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3d8f011e-24ec-433b-8000-cefb33765723 · outbound

This paper cites Diverse demonstrations improve in-context compositional generalization.

Learning Composable Chains-of-Thought Diverse demonstrations improve in-context compositional generalization

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:48.385068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4bbe9f52-e63d-479c-94d1-a60541ef81e6 · outbound

This paper cites Complementary explanations for effective in-context learning.

Learning Composable Chains-of-Thought Complementary explanations for effective in-context learning

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:48.195451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8d9274d1-f1df-427b-ae28-ab87bf9a84a4 · outbound

This paper cites To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning.

Learning Composable Chains-of-Thought To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:48.098066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 21581ee1-40e7-4501-9f29-ab2e6774e801 · outbound

This paper cites Knowledge crosswords: Geometric knowledge reasoning with large language models.

Learning Composable Chains-of-Thought Knowledge crosswords: Geometric knowledge reasoning with large language models

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:47.895722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3a14807c-6bb2-429b-8be9-f29b3232bcdc · outbound

This paper cites LongProc: Benchmarking Long-Context Language Models on Long Procedural Generation.arXiv preprint arXiv:2501.05414, 2025.

Learning Composable Chains-of-Thought LongProc: Benchmarking Long-Context Language Models on Long Procedural Generation.arXiv preprint arXiv:2501.05414, 2025

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T13:08:41.809213Z

Source-reported events for the cited work

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Observation 2e1a8ce8-e4d4-47e0-a3a8-87fe7353e0f0 · outbound

This paper cites Curriculum learning.

Learning Composable Chains-of-Thought Curriculum learning

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:47.701266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cf5d7e6c-c782-4f50-9d86-44b96b32db0d · outbound

This paper cites Merging by matching models in task parameter subspaces.Transactions on Machine Learning Research, 2024.

Learning Composable Chains-of-Thought Merging by matching models in task parameter subspaces.Transactions on Machine Learning Research, 2024

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:47.592643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d0e16545-9cb3-472b-95f7-b85a7c2ec5f9 · outbound

This paper cites Editing models with task arithmetic.

Learning Composable Chains-of-Thought Editing models with task arithmetic

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T13:08:42.139534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1afad7da-1f0d-4265-b3ea-2c729940ee0a · outbound

This paper cites Unlocking Efficient Long-to-Short LLM Reasoning with Model Merging.

Learning Composable Chains-of-Thought Unlocking Efficient Long-to-Short LLM Reasoning with Model Merging

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T13:08:42.297824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84fe46b5-81cf-4e01-b8ee-995fd08eab51 · outbound

This paper cites Kimi k1.5: Scaling Reinforcement Learning with LLMs.

Learning Composable Chains-of-Thought Kimi k1.5: Scaling Reinforcement Learning with LLMs

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T13:08:42.408863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6fda2f0-cd4e-49df-b132-d872d03bd14b · outbound

This paper cites CoT-Valve: Length-Compressible Chain-of-Thought Tuning.

Learning Composable Chains-of-Thought CoT-Valve: Length-Compressible Chain-of-Thought Tuning

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T13:08:42.546680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b334f828-1f50-431c-b1db-13db07f1700f · outbound

This paper cites Realistic Evaluation of Model Merging for Compositional Generalization.

Learning Composable Chains-of-Thought Realistic Evaluation of Model Merging for Compositional Generalization

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T13:08:42.701796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0256edb-9d02-471d-89a2-6c59c6d176e4 · outbound

This paper cites LoFiT: Localized Fine-tuning on LLM Representations.

Learning Composable Chains-of-Thought LoFiT: Localized Fine-tuning on LLM Representations

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:47.426336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c24ac618-2f05-4b0e-ba9e-ee19fb203733 · outbound

This paper cites Transformer-squared: Self-adaptive LLMs.

Learning Composable Chains-of-Thought Transformer-squared: Self-adaptive LLMs

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:47.260415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 54373513-e41b-482d-a159-a13100ff860d · outbound

This paper cites OpenWebText Corpus.

Learning Composable Chains-of-Thought OpenWebText Corpus

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T13:08:43.066945Z

Source-reported events for the cited work

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Observation 38a130cd-af87-410a-85fe-9a1f3856c0c2 · outbound

This paper cites Curator: A Tool for Synthetic Data Creation.

Learning Composable Chains-of-Thought Curator: A Tool for Synthetic Data Creation

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:47.101984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cbfcd55a-b1a8-4f0e-a16f-d8e91cebfbbb · outbound

This paper cites LlamaFactory: Unified efficient fine-tuning of 100+ language models.

Learning Composable Chains-of-Thought LlamaFactory: Unified efficient fine-tuning of 100+ language models

Reference 56

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This paper cites 15 Table 4: Performance of atomic CoT models fine-tuned on different variants of proxy prefix on Llama 2-7B.

Learning Composable Chains-of-Thought 15 Table 4: Performance of atomic CoT models fine-tuned on different variants of proxy prefix on Llama 2-7B

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:46.920062Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 83b9d7db-3eca-4a64-9c9d-3b0dd33684da · outbound

This paper cites This is because the rhetorical and literay skills have the least overlap while other categories have more (e.g.

Learning Composable Chains-of-Thought This is because the rhetorical and literay skills have the least overlap while other categories have more (e.g

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:46.674131Z

Source-reported events for the cited work

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Observation 7174952e-a5a9-4a03-bab6-fe9083f1ecbd · outbound

This paper cites an unresolved cited work.

Learning Composable Chains-of-Thought Unresolved cited work

Reference 60

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:08:46.405687Z

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Observation 36533d95-2232-4d87-aa1d-86842a9951b8 · outbound

This paper cites To ensure reproducibility of our results, we use a public test set collected by [22].

Learning Composable Chains-of-Thought To ensure reproducibility of our results, we use a public test set collected by [22]

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:46.166008Z

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Observation 5d52c5f2-87d2-4f8e-875b-62550d13da54 · outbound

This paper cites The hall was filled with a deafening silence.

Learning Composable Chains-of-Thought The hall was filled with a deafening silence

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:45.918916Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ea271320-8927-42ad-92cf-839794688b0b · outbound

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Learning Composable Chains-of-Thought Unresolved cited work

Reference 63

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:08:45.663456Z

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Observation 7424c374-3461-41da-a9de-e8ff164cc6d3 · outbound

This paper cites an unresolved cited work.

Learning Composable Chains-of-Thought Unresolved cited work

Reference 64

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:08:45.430234Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 39074bd4-19e2-4cee-a595-7d3c8f3c71d9 · outbound

This paper cites This is a common error for Composable models combined with model merging.

Learning Composable Chains-of-Thought This is a common error for Composable models combined with model merging

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:45.179031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c6e15940-e8e5-4dfc-9a95-ffed1c0cc79c · outbound

This paper cites Merge” stands for model merging; “MTL.

Learning Composable Chains-of-Thought Merge” stands for model merging; “MTL

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:44.918162Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 36c18835-0be9-4a27-bd3b-d0864bf17a50 · outbound

This paper cites an unresolved cited work.

Learning Composable Chains-of-Thought Unresolved cited work

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T13:08:36.985095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 1dcca12c-4b39-48e6-b2d3-d6751215a7bd · 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 Learning Composable Chains-of-Thought

Reference 146

Resolution: verified exact; arxiv_id, observed 2026-07-03T20:38:56.095961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.