Paper Citation Record · LEDGER

CoDAE: Adapting Large Language Models for Education via Chain-of-Thought Data Augmentation

As of 10 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 1 inbound Pith citation observation for arXiv:2508.08386.

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

pith.paper-citation-record.v1
2508.08386 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T21:35:44.733145Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T04:22:31.566907Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T12:01:02.875478Z

Reference resolution

38 of 38 outbound references displayed

verified exact0
verified fuzzy22
unresolved15
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 214f948f-d937-41db-91d2-fa5caa2a5dd0 · outbound

This paper cites an unresolved cited work.

CoDAE: Adapting Large Language Models for Education via Chain-of-Thought Data Augmentation Unresolved cited work

Reference 1

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Source-reported events for the cited work

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Observation e4c10f65-8f04-4fd0-8a7b-6daaa9313d0b · outbound

This paper cites an unresolved cited work.

CoDAE: Adapting Large Language Models for Education via Chain-of-Thought Data Augmentation Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-05T21:35:52.043264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation eb0e8a04-946b-452f-b141-0448de1369dd · outbound

This paper cites John pays $6.

CoDAE: Adapting Large Language Models for Education via Chain-of-Thought Data Augmentation John pays $6

Reference 3

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 56c5ec9c-3848-4930-9ca9-5684ee4405ab · outbound

This paper cites an unresolved cited work.

CoDAE: Adapting Large Language Models for Education via Chain-of-Thought Data Augmentation Unresolved cited work

Reference 4

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 855ed1ab-60cf-4023-a12b-3d0d5bdf6fe4 · outbound

This paper cites No expert solution available for this question.

CoDAE: Adapting Large Language Models for Education via Chain-of-Thought Data Augmentation No expert solution available for this question

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:35:51.452390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 15542dbf-bfa3-421f-84e5-9f31e16dce22 · outbound

This paper cites Instead, lead the student to reason through it.

CoDAE: Adapting Large Language Models for Education via Chain-of-Thought Data Augmentation Instead, lead the student to reason through it

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:35:52.219210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fded4fb7-9513-4cf7-8050-caed4e47b139 · outbound

This paper cites an unresolved cited work.

CoDAE: Adapting Large Language Models for Education via Chain-of-Thought Data Augmentation Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-05T21:35:51.046573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2e053444-28d4-45ea-803c-7bb4e13566b7 · outbound

This paper cites an unresolved cited work.

CoDAE: Adapting Large Language Models for Education via Chain-of-Thought Data Augmentation Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-05T21:35:51.788016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b2134db4-a409-4074-b6cf-501c520214b1 · outbound

This paper cites Examples of turn pairs are given below.

CoDAE: Adapting Large Language Models for Education via Chain-of-Thought Data Augmentation Examples of turn pairs are given below

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4f995307-365d-4e5f-b070-4e6f8211a5b4 · outbound

This paper cites an unresolved cited work.

CoDAE: Adapting Large Language Models for Education via Chain-of-Thought Data Augmentation Unresolved cited work

Reference 13

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Source-reported events for the cited work

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Observation 7379c3ff-ea20-4bf5-ab48-7bf3c0a99d19 · outbound

This paper cites an unresolved cited work.

CoDAE: Adapting Large Language Models for Education via Chain-of-Thought Data Augmentation Unresolved cited work

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8f03b2a0-1e4e-4d3d-a5a6-3b304cdb3794 · outbound

This paper cites an unresolved cited work.

CoDAE: Adapting Large Language Models for Education via Chain-of-Thought Data Augmentation Unresolved cited work

Reference 15

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Source-reported events for the cited work

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Observation fee5d4cb-4f1d-415e-a21f-76ad630e90ab · outbound

This paper cites dominant strategy.

CoDAE: Adapting Large Language Models for Education via Chain-of-Thought Data Augmentation dominant strategy

Reference 16

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bfc8d6a1-3ae9-48d8-8102-2369468ae787 · outbound

This paper cites At this point, the student attempted an answer.

CoDAE: Adapting Large Language Models for Education via Chain-of-Thought Data Augmentation At this point, the student attempted an answer

Reference 17

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Observation 6fea6f52-4cc7-4a61-b5e8-7779052f36bd · outbound

This paper cites pedagogical_helpfulness.

CoDAE: Adapting Large Language Models for Education via Chain-of-Thought Data Augmentation pedagogical_helpfulness

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5e5bcacf-b099-4dbc-ae47-ed172e6f3c50 · outbound

This paper cites an unresolved cited work.

CoDAE: Adapting Large Language Models for Education via Chain-of-Thought Data Augmentation Unresolved cited work

Reference 19

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 769aa9d8-d9cd-49f8-9737-4b83d040d25a · outbound

This paper cites an unresolved cited work.

CoDAE: Adapting Large Language Models for Education via Chain-of-Thought Data Augmentation Unresolved cited work

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8dffcd9c-477d-4ab9-92fa-5b1c17a5c0c0 · outbound

This paper cites These cases do not violate our guidelines and must be classified as ’safe’.

CoDAE: Adapting Large Language Models for Education via Chain-of-Thought Data Augmentation These cases do not violate our guidelines and must be classified as ’safe’

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ff9c2dc8-c024-40a5-82d8-7b7719d1bccf · outbound

This paper cites Yes" or.

CoDAE: Adapting Large Language Models for Education via Chain-of-Thought Data Augmentation Yes" or

Reference 22

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation beb22aef-c618-46e1-b0a3-97cfa310493d · outbound

This paper cites first im- pression.

CoDAE: Adapting Large Language Models for Education via Chain-of-Thought Data Augmentation first im- pression

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e7b114d6-550f-4683-a391-80917fd4c6ee · outbound

This paper cites All is well that ends well,.

CoDAE: Adapting Large Language Models for Education via Chain-of-Thought Data Augmentation All is well that ends well,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:35:48.665909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 099cd3a7-f605-4328-a425-d750dcaac106 · outbound

This paper cites First impressions matter.

CoDAE: Adapting Large Language Models for Education via Chain-of-Thought Data Augmentation First impressions matter

Reference 25

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c6705237-e523-4566-810c-e8a274c68d3d · outbound

This paper cites demand-pull inflation.

CoDAE: Adapting Large Language Models for Education via Chain-of-Thought Data Augmentation demand-pull inflation

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c3cf7d8e-e4f2-4715-8917-2d9c98922bf3 · outbound

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CoDAE: Adapting Large Language Models for Education via Chain-of-Thought Data Augmentation Unresolved cited work

Reference 27

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8dde977c-c5fb-479e-8bf3-3c95a1f78c0c · outbound

This paper cites an unresolved cited work.

CoDAE: Adapting Large Language Models for Education via Chain-of-Thought Data Augmentation Unresolved cited work

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e8d42a2f-10c2-40e5-9685-2fbe45fcdf9b · outbound

This paper cites How might this lead to a sur- plus in consumer markets?.

CoDAE: Adapting Large Language Models for Education via Chain-of-Thought Data Augmentation How might this lead to a sur- plus in consumer markets?

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:35:47.770883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c4c96a60-4da5-42c0-b20b-b3e46db5dfe9 · outbound

This paper cites CO2; triose phosphate triose phosphate; O2 CO2; O2 H2O; CO2 O2; H2O • User: I don’t know what’s reduced in photosynthesis.

CoDAE: Adapting Large Language Models for Education via Chain-of-Thought Data Augmentation CO2; triose phosphate triose phosphate; O2 CO2; O2 H2O; CO2 O2; H2O • User: I don’t know what’s reduced in photosynthesis

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:35:47.532301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 256dfdd4-e3e1-4f23-b4a2-39519fa3b069 · outbound

This paper cites In photosynthesis, which molecule gains electrons to form a new product?.

CoDAE: Adapting Large Language Models for Education via Chain-of-Thought Data Augmentation In photosynthesis, which molecule gains electrons to form a new product?

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:35:47.334526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 823053de-fd7f-4140-aed7-71392596de2a · outbound

This paper cites an unresolved cited work.

CoDAE: Adapting Large Language Models for Education via Chain-of-Thought Data Augmentation Unresolved cited work

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 08edc21e-e81c-446d-99b8-711e3a7c3be9 · outbound

This paper cites Can you connect this to the options provided?.

CoDAE: Adapting Large Language Models for Education via Chain-of-Thought Data Augmentation Can you connect this to the options provided?

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:35:46.696565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation daecbbe2-f4d8-4722-a885-87bfe68e570d · outbound

This paper cites f (x) = sin(x), a= 0, x= π 4 (Round your answer to six decimal places.) T2 π 4 = f π 4 − T2 π 4 = • User: I don’t know how to start with the Taylor polyno- mial.

CoDAE: Adapting Large Language Models for Education via Chain-of-Thought Data Augmentation f (x) = sin(x), a= 0, x= π 4 (Round your answer to six decimal places.) T2 π 4 = f π 4 − T2 π 4 = • User: I don’t know how to start with the Taylor polyno- mial

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:35:46.401616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 00ed2662-f976-4b7d-8075-ce60b45ef6ba · outbound

This paper cites For f (x) = sin(x) , what are these derivatives?.

CoDAE: Adapting Large Language Models for Education via Chain-of-Thought Data Augmentation For f (x) = sin(x) , what are these derivatives?

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:35:46.110813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 691bcfe7-0505-47db-b1e0-69ac157d7b4d · outbound

This paper cites What do you need to compute T2 π 4 and compare it to sin π 4 ?</guidance> • User: I can find the derivatives, but I’m stuck on the error.

CoDAE: Adapting Large Language Models for Education via Chain-of-Thought Data Augmentation What do you need to compute T2 π 4 and compare it to sin π 4 ?</guidance> • User: I can find the derivatives, but I’m stuck on the error

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:35:45.799483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8e383477-223b-4195-9ce3-01515c4c0cc4 · outbound

This paper cites How do these build T2(x) =f (0) +f ′(0)x + f ′′(0) 2 x2 ?.

CoDAE: Adapting Large Language Models for Education via Chain-of-Thought Data Augmentation How do these build T2(x) =f (0) +f ′(0)x + f ′′(0) 2 x2 ?

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:35:45.524103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 33e8ca9f-8f5b-45a1-bed8-4f8f16370039 · outbound

This paper cites All is well that ends well,.

CoDAE: Adapting Large Language Models for Education via Chain-of-Thought Data Augmentation All is well that ends well,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:35:45.202884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 16fc3a1d-dbf0-429d-871f-0ab32f52f138 · outbound

This paper cites Ad- vances in neural information processing systems, 35: 22199– 22213.

CoDAE: Adapting Large Language Models for Education via Chain-of-Thought Data Augmentation Ad- vances in neural information processing systems, 35: 22199– 22213

Reference 2022

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Source-reported events for the cited work

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Observation 4c6d5fc8-eabd-4470-ad14-901a10b91119 · outbound

This paper cites LLMs can Find Mathematical Reasoning Mistakes by Pedagogical Chain-of-Thought.

CoDAE: Adapting Large Language Models for Education via Chain-of-Thought Data Augmentation LLMs can Find Mathematical Reasoning Mistakes by Pedagogical Chain-of-Thought

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-05T21:35:41.622254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10095746-c7b1-45e6-995c-b6006b984c24 · outbound

This paper cites Pedagogical Alignment of Large Language Models.

CoDAE: Adapting Large Language Models for Education via Chain-of-Thought Data Augmentation Pedagogical Alignment of Large Language Models

Reference 7517

Resolution: metadata mismatch; local_arxiv, observed 2026-08-05T21:35:44.936859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

Observation 25485a7c-e4fc-4678-b395-e4632f276165 · inbound

Evaluating Answer Leakage Robustness of LLM Tutors against Adversarial Student Attacks cites this paper.

Evaluating Answer Leakage Robustness of LLM Tutors against Adversarial Student Attacks CoDAE: Adapting Large Language Models for Education via Chain-of-Thought Data Augmentation

Reference 91

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:01:02.878263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.