Paper Citation Record · LEDGER

From First Draft to Final Insight: A Multi-Agent Approach for Feedback Generation

As of 19 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 1 inbound Pith citation observation for arXiv:2505.04869.

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

pith.paper-citation-record.v1
2505.04869 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:24:39.512470Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:41:49.642163Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T23:41:49.955284Z

Reference resolution

35 of 35 outbound references displayed

verified exact0
verified fuzzy20
unresolved15
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9ff61f43-e31a-4bc4-b18b-657117e62544 · outbound

This paper cites Studies in Higher Education pp.

From First Draft to Final Insight: A Multi-Agent Approach for Feedback Generation Studies in Higher Education pp

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:24:39.979333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 82c45c1e-c99d-4654-ad94-903aed8fbee5 · outbound

This paper cites Computers and Education: Artificial Intelligence2, 100027 (2021).

From First Draft to Final Insight: A Multi-Agent Approach for Feedback Generation Computers and Education: Artificial Intelligence2, 100027 (2021)

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T23:24:39.383001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ffeeb32-095a-47d2-9354-8e8e5c23f615 · outbound

This paper cites In: Olney, A.M., Chounta, I.A., Liu, Z., Santos, O.C., Bittencourt, I.I.

From First Draft to Final Insight: A Multi-Agent Approach for Feedback Generation In: Olney, A.M., Chounta, I.A., Liu, Z., Santos, O.C., Bittencourt, I.I

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:24:39.956145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a598cf24-7c84-458d-b2cb-54ae29a0170e · outbound

This paper cites Computers and Education: Artificial Intelligence7, 100299 (2024).

From First Draft to Final Insight: A Multi-Agent Approach for Feedback Generation Computers and Education: Artificial Intelligence7, 100299 (2024)

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T23:24:39.390879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f6dd2c7-22c6-44a2-9cdf-9a4cff47ca46 · outbound

This paper cites The Leadership Quarterly33(6), 101534 (2022).

From First Draft to Final Insight: A Multi-Agent Approach for Feedback Generation The Leadership Quarterly33(6), 101534 (2022)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:24:39.930558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ec26dab2-a4c9-4a70-90e0-ecf168e0639f · outbound

This paper cites Teaching and Teacher Education110, 103578 (2022).

From First Draft to Final Insight: A Multi-Agent Approach for Feedback Generation Teaching and Teacher Education110, 103578 (2022)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:24:39.918420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5fa13e7c-5fe7-43da-99fa-e3a9276ce2ee · outbound

This paper cites Education and Information Technologies pp.

From First Draft to Final Insight: A Multi-Agent Approach for Feedback Generation Education and Information Technologies pp

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:24:39.904123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 33b404dd-dd50-40c0-b1f7-2d9d0e4afa3d · outbound

This paper cites In: Proceedings of the Eleventh ACM Conference on Learning@ Scale.

From First Draft to Final Insight: A Multi-Agent Approach for Feedback Generation In: Proceedings of the Eleventh ACM Conference on Learning@ Scale

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:24:39.889101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f0ea2be7-3729-44f2-93d3-e60f1b43d820 · outbound

This paper cites an unresolved cited work.

From First Draft to Final Insight: A Multi-Agent Approach for Feedback Generation Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:24:39.876427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 023fada9-8403-441b-86ea-a964df51a376 · outbound

This paper cites Teaching and Learning in Nursing19(2), e358–e367 (2024).

From First Draft to Final Insight: A Multi-Agent Approach for Feedback Generation Teaching and Learning in Nursing19(2), e358–e367 (2024)

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:24:39.861011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6d2dea35-377e-4494-9f55-38c9c942ab20 · outbound

This paper cites Sports Economics Review8, 100045 (2024).

From First Draft to Final Insight: A Multi-Agent Approach for Feedback Generation Sports Economics Review8, 100045 (2024)

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:24:39.846565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 49487c17-b41b-434c-b213-02c1542e9c2b · outbound

This paper cites Education and Information Technologies 29(7), 8435–8463 (2024).

From First Draft to Final Insight: A Multi-Agent Approach for Feedback Generation Education and Information Technologies 29(7), 8435–8463 (2024)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:24:39.832149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7b6f680f-3b6a-440b-a0b4-d0162e2b56ab · outbound

This paper cites Review of educational research 77(1), 81–112 (2007).

From First Draft to Final Insight: A Multi-Agent Approach for Feedback Generation Review of educational research 77(1), 81–112 (2007)

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T23:24:39.426930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6cc5e38-795d-4e3d-9f22-1934464ba610 · outbound

This paper cites JMIR Medical Education 10(1), e59213 (2024).

From First Draft to Final Insight: A Multi-Agent Approach for Feedback Generation JMIR Medical Education 10(1), e59213 (2024)

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:24:39.805865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 589b2803-44ef-470f-90d5-73ebddfe421a · outbound

This paper cites AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation.

From First Draft to Final Insight: A Multi-Agent Approach for Feedback Generation AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T23:24:39.434124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d095da9-c810-44c5-8205-7fa52c6eb41f · outbound

This paper cites an unresolved cited work.

From First Draft to Final Insight: A Multi-Agent Approach for Feedback Generation Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:24:39.791500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7194685c-a7b6-4999-98eb-0ad987aed361 · outbound

This paper cites Journal of Educational Technology & Society26(2) (2023).

From First Draft to Final Insight: A Multi-Agent Approach for Feedback Generation Journal of Educational Technology & Society26(2) (2023)

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:24:39.777612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7e6d21a1-240e-44b7-92a9-6bc3f0d6f85f · outbound

This paper cites Psychological bulletin 119(2), 254 (1996).

From First Draft to Final Insight: A Multi-Agent Approach for Feedback Generation Psychological bulletin 119(2), 254 (1996)

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:24:39.764387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ed7a38ee-7322-430c-8d18-4762c36a8324 · outbound

This paper cites In: Proceedings of the 2024 on Innovation and Tech- nology in Computer Science Education V.

From First Draft to Final Insight: A Multi-Agent Approach for Feedback Generation In: Proceedings of the 2024 on Innovation and Tech- nology in Computer Science Education V

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:24:39.751110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a6a1e5e9-4459-4ad6-ad06-ea82e6af7038 · outbound

This paper cites Advances in Neural Information Processing Systems 33, 9459–9474 (2020).

From First Draft to Final Insight: A Multi-Agent Approach for Feedback Generation Advances in Neural Information Processing Systems 33, 9459–9474 (2020)

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T23:24:39.454175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5a2d56e-bc70-41b1-98e1-7c6cd42991d6 · outbound

This paper cites In: Olney, A.M., Chounta, I.A., Liu, Z., Santos, O.C., Bittencourt, I.I.

From First Draft to Final Insight: A Multi-Agent Approach for Feedback Generation In: Olney, A.M., Chounta, I.A., Liu, Z., Santos, O.C., Bittencourt, I.I

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:24:39.729880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2dc71c31-a7f4-4d97-bd78-b1a9531e205c · outbound

This paper cites an unresolved cited work.

From First Draft to Final Insight: A Multi-Agent Approach for Feedback Generation Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:24:39.715437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6b8465ab-0820-443e-a187-4a978fcec53d · outbound

This paper cites Generating High-Precision Feedback for Programming Syntax Errors using Large Language Models.

From First Draft to Final Insight: A Multi-Agent Approach for Feedback Generation Generating High-Precision Feedback for Programming Syntax Errors using Large Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T23:24:39.465264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db93b68e-c8d3-46b0-a70d-606cd8a233f2 · outbound

This paper cites Assessment & Evaluation in Higher Education33(2), 143–154 (2008).

From First Draft to Final Insight: A Multi-Agent Approach for Feedback Generation Assessment & Evaluation in Higher Education33(2), 143–154 (2008)

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:24:39.702444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c7b184e6-b1aa-476a-83c7-c1bc4fd57991 · outbound

This paper cites Behavioral science 28(1), 4–13 (1983).

From First Draft to Final Insight: A Multi-Agent Approach for Feedback Generation Behavioral science 28(1), 4–13 (1983)

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:24:39.688788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2f191084-62e1-4386-9223-8c7679bc973e · outbound

This paper cites Assessment & Evaluation in Higher Education46(6), 894–912 (2021).

From First Draft to Final Insight: A Multi-Agent Approach for Feedback Generation Assessment & Evaluation in Higher Education46(6), 894–912 (2021)

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:24:39.674724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8d2e3685-7cb9-40e7-9ad1-c5fde9cff2a6 · outbound

This paper cites A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications.

From First Draft to Final Insight: A Multi-Agent Approach for Feedback Generation A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T23:24:39.481096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 315b3315-bc83-4672-a519-22f623138e2b · outbound

This paper cites Verbosity Bias in Preference Labeling by Large Language Models.

From First Draft to Final Insight: A Multi-Agent Approach for Feedback Generation Verbosity Bias in Preference Labeling by Large Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T23:24:39.485128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1186627-7b4b-4d3b-95c2-2b13bb8192e6 · outbound

This paper cites In: ICAART (2).

From First Draft to Final Insight: A Multi-Agent Approach for Feedback Generation In: ICAART (2)

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:24:39.660951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b2203a64-3aa8-450d-a0b4-5be9297718b5 · outbound

This paper cites chatgpt is the companion, not enemies.

From First Draft to Final Insight: A Multi-Agent Approach for Feedback Generation chatgpt is the companion, not enemies

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:24:39.647800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ea0779ec-f65e-4bac-b167-ffc670d036a7 · outbound

This paper cites Thinking Skills and Creativity51, 101440 (2024).

From First Draft to Final Insight: A Multi-Agent Approach for Feedback Generation Thinking Skills and Creativity51, 101440 (2024)

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:24:39.633113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 04ccbf7b-6404-417d-b62d-e5b71ec9aff4 · outbound

This paper cites Advances in neural information processing systems35, 24824–24837 (2022).

From First Draft to Final Insight: A Multi-Agent Approach for Feedback Generation Advances in neural information processing systems35, 24824–24837 (2022)

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-15T23:24:39.500858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a35e7997-4759-410f-86c8-2ba66374d81d · outbound

This paper cites Frontiers in psychology 10, 487662 (2020).

From First Draft to Final Insight: A Multi-Agent Approach for Feedback Generation Frontiers in psychology 10, 487662 (2020)

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-15T23:24:39.504436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00ab44c5-b9a1-483f-ac29-6107af611e6d · outbound

This paper cites AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation.

From First Draft to Final Insight: A Multi-Agent Approach for Feedback Generation AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T23:24:39.508229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 172a4008-429c-42fe-ad0d-a5210578f936 · outbound

This paper cites From MOOC to MAIC: Reshaping Online Teaching and Learning through LLM-driven Agents.

From First Draft to Final Insight: A Multi-Agent Approach for Feedback Generation From MOOC to MAIC: Reshaping Online Teaching and Learning through LLM-driven Agents

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-15T23:24:39.512470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 14816bb9-ab7a-4d32-a176-958d8bc9b9c7 · inbound

Automatic Large Language Models Creation of Interactive Learning Lessons cites this paper.

Automatic Large Language Models Creation of Interactive Learning Lessons From First Draft to Final Insight: A Multi-Agent Approach for Feedback Generation

Reference 3

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T23:41:49.959555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.