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Paper Citation Record · LEDGER

Learning Composable Chains-of-Thought

As of 8 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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:08:31.745228Z digest=sha256:f8137426f57805db9f73e6b2d5ee41d590d34cc67c9a887ee9d272914c3f35a8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:08:31.786777Z digest=sha256:f00fd88797dc61f6258319567262599f6793f173325eb7f533d02c70a74ee6f5

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:08:31.889534Z digest=sha256:7c46a325cf2c35ed2955bf2df276ec4ecc95049bb23fe73fe68bee0e3e70713d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:08:31.992562Z digest=sha256:52556ce576c19c39abb85b932cdcf8388765156209de3912247afec56c2d0079

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:08:32.114264Z digest=sha256:bd2048c05c6ee4cae8934c8e7f3501808f0bc879d955d445752b03013262401e

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:08:32.267560Z digest=sha256:e708c972ae7352aa9d6512f85f4245a4302326464d2ef59c34702da5866ad54a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:08:32.411814Z digest=sha256:548a9f746c590123b94b9cf9670483605cb309d27c0d41d5f001e72f9feaec87

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:08:32.538189Z digest=sha256:c1796893c736dc9a016ae3c36522432b608f3c5c947d0e169225f6e94c33dae8

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:08:32.632804Z digest=sha256:384ee92f9f2854bc8d35035f0fc6370b598865fe5e6844b05efe18c11d8334d9

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:08:32.720556Z digest=sha256:a0050e2fc12c538fa81c479cdc524de118cf69962fd66890289d122dbb459d53

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.

source=pdf_text observed=2026-08-07T13:08:32.818804Z digest=sha256:04839180117749f0e8a3d614c1d9751bc0e35fcbbf5f02cd99324d69f08dcb73

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:08:33.010653Z digest=sha256:806e538d5fcd41496752b247f041b6bcd9f510f83267c505b1cec4bde7aa0c46

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:08:33.151617Z digest=sha256:3384d1f86d9045cbdf31433366dd5468c12938602a7261862904ca8b8b372b9e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:08:33.252440Z digest=sha256:1ee4c5b93c5df4f82e7052839302b64a25840f28b2cac55da6e4934719323247

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:08:33.682704Z digest=sha256:e2855872c9a035c86139ca59ced31e4c536fb9360fb11fd6cc005a5c5567e11e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:08:35.125936Z digest=sha256:dd2414bda733c5583c633c57b9fa80e870f324b340a54a1228c01ac19933bf86

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:08:35.241092Z digest=sha256:d82700bf066c583ec8aa1e4bfa9b97aa3e93923ba38c30c3a655bf2a1b25d58e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:08:35.310945Z digest=sha256:738a68d9cebb25efbd559ecb1a1107822bf62739e4ab732b046092650b02d4e2

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:08:35.361630Z digest=sha256:4f710de7328ecf8d0e912b8a09ee9a745f4a89ad3f0aa025dcb4cb7fe8606713

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.

source=pdf_text observed=2026-08-07T13:08:35.476119Z digest=sha256:5d9c41c7976cbce5b9b667c1a20cb2813784012ce52254f53d69dd43d2967def

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:08:35.615291Z digest=sha256:0c8461caa19fa5579b3af87f706266deb6efd068b85045b0599ea5a2f634f810

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:08:35.702537Z digest=sha256:4a1406df876292013eb3a35d2c1599b68fca8859883cfd0530caeb3358c0dc28

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.

source=pdf_text observed=2026-08-07T13:08:35.757977Z digest=sha256:4814b5ce2c8543b3eade46220e214028e383316d17fc3d40c7b06809e5a4225c

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:08:35.851036Z digest=sha256:6dd89d1bdfcaa2ccb3981862f2400e71f169244c102c4bab8caf46f61d4bd3e8

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.

source=pdf_text observed=2026-08-07T13:08:35.930049Z digest=sha256:a0f24678c97c6ec278f2de484476dc3a3ebf12b1300eda8a27701037377355e9

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:08:35.979493Z digest=sha256:225bc453fefb39ef935ba4f2f26b7bda63bf524e7059b57598207bf32dde5f0a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:08:36.051325Z digest=sha256:451debba468d49709cb0343c9d98a877c9bb29b1dc2cfe16cd2e9ce90fb18bb0

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:08:36.110741Z digest=sha256:628edb4bc661788acd7d619d9ca1e424a79bf9551948b144e9f35557a35ff00d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:08:36.167137Z digest=sha256:bd8a3b3bf4b64730f55ddf69d83a5ed3bb27bb4a7d60587377d6000955e253b9

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:08:36.230442Z digest=sha256:fb818814ee3cae4ebde5754a57e74a6e9cb37650ac91f24c897bf0b1522dd5d0

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:08:36.301343Z digest=sha256:433fb5375690b76d336f091c8ab368083558cd9e22eef7971b49761ecd2e6747

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:08:36.371949Z digest=sha256:9c99070daea0f69520e9f93aa9e5514c75fa42eb8e13644ec64e94b741738c9c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:08:36.427345Z digest=sha256:e8763936124d150c60c5d866bf08e4cef7c89d971c7ce96896ef236142a085d0

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.

source=pdf_text observed=2026-08-07T13:08:36.491582Z digest=sha256:bc90dfb67265fa5c1c7418c698f6e7c080b944f3de206a8e2f657e64fae7d5da

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:08:36.643593Z digest=sha256:1d8ae1ecff5384c8b3ced2c9d12c1e4154424b4fc6e8132b6d60c8571255f622

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:08:36.797992Z digest=sha256:ca1f8dee1ced8febe27f790d771144e3b711850cc854a369a1e7f718a3e238cc

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

Resolution
unresolved
no resolver link, observed 2026-08-07T13:08:37.151860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:08:37.151860Z digest=sha256:4590255baf384d6d81ff1b3fa8b1eca295fef0975ce51a237682fe88d0988d4f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:08:37.340947Z digest=sha256:aed10803ca67fdd0ef2872285a34ac90514c692de5e187967c151ac2828bc32e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:08:37.865977Z digest=sha256:1922402687b11a333ebdf8da1a96ef563608d029ad49609ad42fab69457efe12

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:08:41.448606Z digest=sha256:420f2c98d121c7fabdf0e8aacac436f163a984da17f5b4d76ba5f7db08125e94

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:08:41.591331Z digest=sha256:2f868d839b4e0875f15040c74d7f094cb6c9216190cf65409f546e19d53de252

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:08:41.697201Z digest=sha256:d766ef2c7d1c6e1cba67f7e7fc570f02dc90a1e739c58d7fb10d0bc157da0e87

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:08:41.809213Z digest=sha256:3ad939aa14883e0c460364dd1e6dddf61ce108121ddec963423bc2d3c72036e6

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:08:41.937283Z digest=sha256:dab3f35a0439876bdcdf168411bf64e64fb3d2bf7c991ce3614a8fbd2a0f790c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:08:42.052247Z digest=sha256:e9e03df6723b803346e2a161d2060e19e306e09dd993cc53656ad677ed62753a

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.

source=pdf_text observed=2026-08-07T13:08:42.139534Z digest=sha256:1d24dd655414bb3a9dab306f7a5e4a25f3d46077123af2023bc2501da52a3115

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.

source=pdf_text observed=2026-08-07T13:08:42.297824Z digest=sha256:dad8402d71febfcb3f35401452e2560b4c9d359fc29361c3af0862e32ede8e91

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.

source=pdf_text observed=2026-08-07T13:08:42.408863Z digest=sha256:6e845d952622ee9e18074833f65f071b2b4b7056f881dbd2dded9320219cbb84

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.

source=pdf_text observed=2026-08-07T13:08:42.546680Z digest=sha256:c0f8eff9d6b8c2a4881a9700ac319642f1fd62736bf54cc7c2c2528dce624260

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.

source=pdf_text observed=2026-08-07T13:08:42.701796Z digest=sha256:3c65e46741b4b12d3599b56d51a8964ac166e2bab56db21c2db607ca4abb817e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:08:42.831227Z digest=sha256:2ae5f053e42e6dc510c224fb0b47873056c6e4070deb374de4dfa1c3be568499

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:08:42.932497Z digest=sha256:5bdfc35d2408fff61d8ed89b53bacc34def2ab9b884ebc0e12b9dc1a59661a4f

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:08:43.066945Z digest=sha256:d1b8bb2b60a506cc13481229a863291305e606c5e2248b56e6fcc86a0f706bb6

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:08:43.194372Z digest=sha256:b86147681d23247705e4e41974d034b39589f31d451b79906013d29ef2561d23

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

Resolution
unresolved
no resolver link, observed 2026-08-07T13:08:43.348378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:08:43.348378Z digest=sha256:87e0e9605d724e54c41b3afcbf0313dddd5c8ed7f706fd32ff10879ce1a5a634

Observation 737c94f1-0239-4fc4-b1d6-78b99b4f6814 · outbound

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:08:43.425374Z digest=sha256:e2bbd9788443272e3480b6670d423dcb87cdcab6809c388042c06177d2a27d70

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

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:08:43.571509Z digest=sha256:978c5decebb60805842f141d03c8cee3e030647d67678afb43022bb2b3e9493d

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:08:43.661614Z digest=sha256:8cd2bab4b8ec3831575689b9146374db4514154eb855bf3b1ad4dd4ad81bffc3

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:08:43.833123Z digest=sha256:aa401d7552410d1faeadc41a02cec634f80b3af0b59932b0414424d9a750918d

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:08:43.972958Z digest=sha256:6c27fba875f4cdbe8fd7bf1e7b2c06adbca68832b9bbe7d7a4479dd7dd1ca8b1

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

This paper cites an unresolved cited work.

Learning Composable Chains-of-Thought Unresolved cited work

Reference 63

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:08:44.071572Z digest=sha256:78711939669568e61e97100d93d497ff5ab4bc8f7bc1743f469fb068e70c7a84

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:08:44.181557Z digest=sha256:e49870de074c7e98d57b40d070a3c9dd266e83bb2d799005566b6df6ee706094

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:08:44.284480Z digest=sha256:ef5ec77a995ff6ccde427ee289af9965dcfb5e15955d17455d6a0e567d78317c

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:08:44.455938Z digest=sha256:ea75e86d9e7830c1bc88dd134363d0bd1420a8569f5a6447da8808880686b589

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.

source=pdf_text observed=2026-08-07T13:08:36.985095Z digest=sha256:29ca3c03f425c5352bdb7df2b297851f9891215722452fac45877c1bcff91bc8

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-27T01:13:11.483599Z digest=sha256:b9f69b976f749a8a53a85fbc61d120896495142389e0d8ccab93d2578b00dce5