Paper Citation Record · LEDGER

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models

As of 17 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 4 inbound Pith citation observations for arXiv:2504.13534.

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

pith.paper-citation-record.v1
2504.13534 v3

Coverage vector

measured 62 of 62 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:10:36.595794Z

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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:45:32.098095Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T18:40:02.347471Z

Reference resolution

62 of 62 outbound references displayed

verified exact1
verified fuzzy54
unresolved6
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f0642210-f71b-4517-9403-048804928df2 · outbound

This paper cites - Case: The example describes Tom, who can carry 6 plates at a time.

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models - Case: The example describes Tom, who can carry 6 plates at a time

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:37.916068Z

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 9331e4c2-2709-40cc-b1d9-bef3debe8aed · outbound

This paper cites - Case: The example describes Tom needing to pick up 15 plates from one table and 9 plates from another.

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models - Case: The example describes Tom needing to pick up 15 plates from one table and 9 plates from another

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:37.897245Z

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 bf9bf691-cd1f-4446-a614-9e3b83b9919c · outbound

This paper cites InProceedings of the 2024 Con- ference on Empirical Methods in Natural Language Processing, pages 8916–8937, Miami, Florida, USA.

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models InProceedings of the 2024 Con- ference on Empirical Methods in Natural Language Processing, pages 8916–8937, Miami, Florida, USA

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:37.977711Z

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 9affb8dd-a2c4-4ae2-a7c2-7ae36c6549c0 · outbound

This paper cites - Case: The example explains how Tom calculates his total number of plates.

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models - Case: The example explains how Tom calculates his total number of plates

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:37.854944Z

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 f92552d2-0390-4684-903d-d01e1480eff4 · outbound

This paper cites Assuming the speed of the first person is v kilometers per hour, what is the speed of the second person in kilometers per hour?.

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models Assuming the speed of the first person is v kilometers per hour, what is the speed of the second person in kilometers per hour?

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:37.836431Z

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 67699260-f4f5-4d32-b0e1-ac29675b25cd · outbound

This paper cites Knowledge-Driven CoT: Exploring Faithful Reasoning in LLMs for Knowledge-intensive Question Answering.

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models Knowledge-Driven CoT: Exploring Faithful Reasoning in LLMs for Knowledge-intensive Question Answering

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T12:10:36.293624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0366b82-fa5c-4dc9-bdf4-07cefc24645b · outbound

This paper cites Retrieval-Augmented Generation for AI-Generated Content: A Survey.

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models Retrieval-Augmented Generation for AI-Generated Content: A Survey

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T12:10:36.306454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9f17708-169b-4c19-9918-122e9c364ce5 · outbound

This paper cites Answer Provision.

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models Answer Provision

Reference 10

Resolution: malformed identifier; raw_fallback, observed 2026-08-16T12:10:36.728298Z

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 0f01a9c6-c045-49e5-bdd2-c9c5f67bf13d · outbound

This paper cites - Case: The example describes Tom needing to pick up 15 plates from one table and 9 plates from another.

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:37.873749Z

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 cdb11bdd-a337-443d-9924-4359338f2b2d · outbound

This paper cites - Description: Friend P’s rate is 15% faster than Friend Q’s.

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models - Description: Friend P’s rate is 15% faster than Friend Q’s

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:37.817216Z

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 52c019fc-0b0a-40b8-a963-e1baf7aa5aa9 · outbound

This paper cites 43 / 2.15v.

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models 43 / 2.15v

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:37.799155Z

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 d13f2c21-a22d-4ef0-a195-48d6f3d5dfc8 · outbound

This paper cites 23 kilometers.

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models 23 kilometers

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:37.776674Z

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 2c6d3592-d145-41b8-9448-4a25469dd47b · outbound

This paper cites - Description: James writes a letter to 2 different friends twice a week.

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models - Description: James writes a letter to 2 different friends twice a week

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:37.760480Z

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 7251acb9-70e8-4bf2-b3a3-d4e46ce8d43f · outbound

This paper cites 4 letters.

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models 4 letters

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:37.740940Z

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 5f2ec97a-917a-4be2-813b-984a9ab452ac · outbound

This paper cites 12 pages.

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models 12 pages

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:37.723419Z

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 1348f4d4-dcc0-4838-8b70-5b1681353766 · outbound

This paper cites 624 pages.

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models 624 pages

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:37.707754Z

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 502cd2cf-9dbe-4d5f-8b7c-b95f1d1310b8 · outbound

This paper cites - Description: Joan found 70 seashells on the beach.

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models - Description: Joan found 70 seashells on the beach

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:37.691848Z

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 65f69842-31db-44a0-b874-1a494022695c · outbound

This paper cites - Description: Joan has 27 seashells left.

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models - Description: Joan has 27 seashells left

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:37.674850Z

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 83666e70-cacc-41cc-ad01-635ba9213415 · outbound

This paper cites an unresolved cited work.

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:10:37.657627Z

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 31302211-39e9-4801-87ae-810f7d5a238c · outbound

This paper cites Who was the member of the ’Mother Love Bone’ band who passed away before the release of the album ’Apple’?.

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models Who was the member of the ’Mother Love Bone’ band who passed away before the release of the album ’Apple’?

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:37.639046Z

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 2ee7ed77-fd8c-4dcd-8269-f33933d2258a · outbound

This paper cites Mother Love Bone.

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models Mother Love Bone

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:37.621169Z

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 30aef4b6-d700-4094-99f8-29cdeda4b299 · outbound

This paper cites Mother Love Bone.

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models Mother Love Bone

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:37.605327Z

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 915a1579-ec1a-4144-a64e-50d31d850211 · outbound

This paper cites Mother Love Bone.

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models Mother Love Bone

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:37.588275Z

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 fd403014-ce53-44ba-af72-5c36f66c72d0 · outbound

This paper cites Malfunkshun.

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models Malfunkshun

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:37.563681Z

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 4f26f767-8fcb-4bb4-a9e1-d8ea339f73df · outbound

This paper cites subdivision.

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models subdivision

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:37.543723Z

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 6cbb169f-27d7-4fa6-abdf-858cf915a099 · outbound

This paper cites - Description: The description relies on the answer from sub_question1, which identified the subdivision as the area most likely to have access control facilities and isolation.

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models - Description: The description relies on the answer from sub_question1, which identified the subdivision as the area most likely to have access control facilities and isolation

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:37.525516Z

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 f3d76a34-ee52-4e7b-8492-b0bd843e3ee7 · outbound

This paper cites Is this behavior directly related to understanding and answering the teacher’s questions?.

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models Is this behavior directly related to understanding and answering the teacher’s questions?

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:37.507787Z

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 a2b51e8c-ea09-47fc-aeaa-215601888d7e · outbound

This paper cites ask for a gold star.

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models ask for a gold star

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:37.489300Z

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 7b543125-dde2-47f6-ae08-b10b78436d25 · outbound

This paper cites skip her class.

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models skip her class

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:37.472661Z

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 e9f31039-b2e6-4021-8e0d-44873395f9c3 · outbound

This paper cites know the information.

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models know the information

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:37.450465Z

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 5e2448eb-10b9-446c-ba88-d43bc60254bc · outbound

This paper cites No," "No,.

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models No," "No,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:37.433016Z

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 d2003621-5e19-4d7a-91be-dd156c14262b · outbound

This paper cites Pretty" is.

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models Pretty" is

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:37.414447Z

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 330c76b0-dce3-4d40-8f7d-22c2c2e0a7b5 · outbound

This paper cites Jada" is.

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models Jada" is

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:37.396471Z

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 c52c2231-cc4b-4f3a-b456-6c6186dc6304 · outbound

This paper cites Sarita" is.

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models Sarita" is

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:37.379836Z

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 59fa2f0a-3924-4ec0-82c8-9aee6eb39f7f · outbound

This paper cites Allen" is.

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models Allen" is

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:37.362071Z

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 e4008d3b-2f6c-4ce4-a332-6af23b6aadd3 · outbound

This paper cites n" (from Gavin),.

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models n" (from Gavin),

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:37.344982Z

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 6e5c36d2-944a-4f94-9b85-029e7a52ba0b · outbound

This paper cites heads up.

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models heads up

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:37.327899Z

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 89eca5b8-5d47-4144-9de2-61e39fc2a355 · outbound

This paper cites heads up.

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models heads up

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:37.310954Z

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 ed35f78d-93d9-4cdf-b7e4-1fe790ac4b0c · outbound

This paper cites heads up.

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models heads up

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:37.294409Z

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 8f04001a-783b-4c57-90cc-d34b4091234b · outbound

This paper cites tails up.

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models tails up

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:37.266631Z

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 4fd98416-72d4-4c85-a1c4-952b19ed4862 · outbound

This paper cites What is the amount of cash stolen in this theft?.

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models What is the amount of cash stolen in this theft?

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:37.249815Z

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 0f122e0e-a112-4f9b-8841-8024c61696ab · outbound

This paper cites - Description: The theft took place on January 2, 2016, where Song XX cut open the victim’s coat pocket and stole a small yellow envelope containing 1,500 yuan.

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models - Description: The theft took place on January 2, 2016, where Song XX cut open the victim’s coat pocket and stole a small yellow envelope containing 1,500 yuan

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:37.233349Z

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 e8217832-0ed5-4d44-85dd-7509eb63aece · outbound

This paper cites - Description: On January 20, 2016, Song XX stole 7,000 yuan from the victim Zhang Mou 1’s coat pocket.

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models - Description: On January 20, 2016, Song XX stole 7,000 yuan from the victim Zhang Mou 1’s coat pocket

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:37.215123Z

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 d035c311-bd21-4b5e-ad21-e0d2b7e6d654 · outbound

This paper cites - Description: The description contains both ’answer1’ (1,500 yuan) and ’answer2’ (7,000 yuan).

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models - Description: The description contains both ’answer1’ (1,500 yuan) and ’answer2’ (7,000 yuan)

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:37.197519Z

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 a9131e94-f7e5-4884-a5d2-ccedfc56d36e · outbound

This paper cites Does the contract mention any content regarding usage permissions?.

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models Does the contract mention any content regarding usage permissions?

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:37.181041Z

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 92fd9a81-f6ce-4af9-b842-a6abe48dee03 · outbound

This paper cites - Description: Roger can carry 4 trays at a time.

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models - Description: Roger can carry 4 trays at a time

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:37.159794Z

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 3b79da02-c276-4e61-9386-e796840ac8ff · outbound

This paper cites - Description: Roger needs to pick up 10 trays from one table.

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models - Description: Roger needs to pick up 10 trays from one table

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:37.134338Z

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 bb69cc6e-7d73-4b01-9c8d-c40b8987c8ee · outbound

This paper cites - Description: Roger needs to pick up 2 trays from another table.

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models - Description: Roger needs to pick up 2 trays from another table

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:37.111255Z

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 673d5b41-1172-4cef-bf10-ae62689b2e94 · outbound

This paper cites - Description: The total number of trays that Roger needs to carry is the sum of the trays picked up from both tables.

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models - Description: The total number of trays that Roger needs to carry is the sum of the trays picked up from both tables

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:37.088906Z

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 d214a698-5821-4788-a8a2-27b51f034b9f · outbound

This paper cites How many lunch trays can the person carry at once?.

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models How many lunch trays can the person carry at once?

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:37.068393Z

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 bec33d5b-e20c-4af4-b112-c63f4221fcc9 · outbound

This paper cites - Description: Roger can carry 4 trays at a time.

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models - Description: Roger can carry 4 trays at a time

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:37.043838Z

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 1990c572-beb7-4950-b76a-cb477a5f75b1 · outbound

This paper cites 10 trays.

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models 10 trays

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:37.024641Z

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 b2963a4e-a982-4954-bec6-1ff092ed7c62 · outbound

This paper cites - Description: Roger needs to pick up 10 trays from one table and 2 trays from another.

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models - Description: Roger needs to pick up 10 trays from one table and 2 trays from another

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:37.002665Z

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 ce9535dc-ae35-4199-b579-0b0dce00c242 · outbound

This paper cites 12 trays.

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models 12 trays

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:36.982547Z

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 c09de3b0-7e50-4ffc-a352-c2b6e25a4808 · outbound

This paper cites If a train travels 300 miles in 5 hours, what is its average speed?.

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models If a train travels 300 miles in 5 hours, what is its average speed?

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:36.962764Z

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 1868661f-7089-4d32-8194-eadc9cac61a0 · outbound

This paper cites CFBenchmark: Chinese Financial Assistant Benchmark for Large Language Model.

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models CFBenchmark: Chinese Financial Assistant Benchmark for Large Language Model

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-16T12:10:36.273239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cac77fe5-0833-4282-b3dd-a759e6fbd8bf · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models Training Verifiers to Solve Math Word Problems

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-16T12:10:36.259740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b5bd8d4-6024-412f-a6b2-fe459c8d7b36 · outbound

This paper cites How many lunch trays can the person carry at once?.

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models How many lunch trays can the person carry at once?

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:37.932915Z

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 9ed96773-f574-4935-a088-59c4339f56ff · outbound

This paper cites InFindings of the Associa- tion for Computational Linguistics: EMNLP 2023, pages 2550–2575, Singapore.

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models InFindings of the Associa- tion for Computational Linguistics: EMNLP 2023, pages 2550–2575, Singapore

Reference 2023

Resolution: verified exact; raw_fallback, observed 2026-08-16T12:10:36.832898Z

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 dde9a114-a261-4c1b-b1a5-6180a2cf6604 · outbound

This paper cites Association for Computational Linguistics.

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models Association for Computational Linguistics

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:37.993129Z

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 805d621d-085c-41b6-8d2c-2863bae1b115 · outbound

This paper cites Graph Retrieval-Augmented Generation: A Survey.

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models Graph Retrieval-Augmented Generation: A Survey

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-16T12:10:36.287259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b284358-3552-40c3-bd0d-53e1caf6347d · outbound

This paper cites Dongyuan Li, Ying Zhang, Zhen Wang, Shiyin Tan, Satoshi Kosugi, and Manabu Okumura.

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models Dongyuan Li, Ying Zhang, Zhen Wang, Shiyin Tan, Satoshi Kosugi, and Manabu Okumura

Reference 9474

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:37.955270Z

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.

Pith citing papers

Observation ca5a3ca2-47da-4b84-813e-3335d731bfa4 · inbound

Improving the Reliability of LLMs: Combining CoT, RAG, Self-Consistency, and Self-Verification cites this paper.

Improving the Reliability of LLMs: Combining CoT, RAG, Self-Consistency, and Self-Verification CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-15T21:45:32.098095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df82c824-793e-4116-ba9d-9b010e2bf7c5 · inbound

To Isolate or to Score? Model-Adaptive Assessment for Cost-Efficient Multi-Agent RAG cites this paper.

To Isolate or to Score? Model-Adaptive Assessment for Cost-Efficient Multi-Agent RAG CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-07-04T18:40:02.349520Z

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 781f8aec-9fab-48cf-870d-ea706d776f59 · inbound

Mitigating LLM Sycophancy in Code Smell Detection Using Evidence-Guided Reasoning Prompts cites this paper.

Mitigating LLM Sycophancy in Code Smell Detection Using Evidence-Guided Reasoning Prompts CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-14T11:57:56.953101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4fe00f2-870a-460e-b6f4-9a7b8e16157c · inbound

Requirements-Augmented Generation for Trustworthy Acceptance Testing of LLM-Based Software cites this paper.

Requirements-Augmented Generation for Trustworthy Acceptance Testing of LLM-Based Software CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T19:36:49.517909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.