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Paper Citation Record · LEDGER

Exchange of Perspective Prompting Enhances Reasoning in Large Language Models

As of 7 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2506.03573.

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

pith.paper-citation-record.v1
2506.03573 v1

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:04:00.242996Z

measured 54 of 54 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

54 of 54 outbound references displayed

  • verified exact0
  • verified fuzzy29
  • unresolved24
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation af7041e9-8165-4318-9e9f-60b55c7be4a4 · outbound

This paper cites Scaling Language Models: Methods, Analysis & Insights from Training Gopher.

Exchange of Perspective Prompting Enhances Reasoning in Large Language Models Scaling Language Models: Methods, Analysis & Insights from Training Gopher

Reference 1

Resolution
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no resolver link, observed 2026-08-07T11:03:59.992777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 14e6d5b9-c0ac-4116-9bb3-64ac775a94be · outbound

This paper cites V., Chi, E.

Exchange of Perspective Prompting Enhances Reasoning in Large Language Models V., Chi, E

Reference 2

Resolution
verified fuzzy
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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.

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Observation 3ed5ba2a-c1ce-4422-a82d-1e5a20a9a2e9 · outbound

This paper cites Let’s verify step by step.

Exchange of Perspective Prompting Enhances Reasoning in Large Language Models Let’s verify step by step

Reference 3

Resolution
verified fuzzy
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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.

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Observation b3545904-cf17-4c6e-b135-c31e106b2c80 · outbound

This paper cites H., Le, Q.

Exchange of Perspective Prompting Enhances Reasoning in Large Language Models H., Le, Q

Reference 4

Resolution
verified fuzzy
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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.

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Observation 6b282701-5759-4991-9977-ad542b98815b · outbound

This paper cites Progressive-Hint Prompting Improves Reasoning in Large Language Models.

Exchange of Perspective Prompting Enhances Reasoning in Large Language Models Progressive-Hint Prompting Improves Reasoning in Large Language Models

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e52c51db-82e9-4bf1-9bf6-351596d95a4f · outbound

This paper cites Generating sequences by learning to self-correct.

Exchange of Perspective Prompting Enhances Reasoning in Large Language Models Generating sequences by learning to self-correct

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:04:01.200853Z

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.

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Observation dc0fda96-a79d-41d2-bd94-0566c47ef569 · outbound

This paper cites The Capacity for Moral Self-Correction in Large Language Models.

Exchange of Perspective Prompting Enhances Reasoning in Large Language Models The Capacity for Moral Self-Correction in Large Language Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T11:04:00.028467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:04:00.028467Z digest=sha256:d1e2921ec6ff0dfc43f29e9f6b5c15f9d3e8781b8e441d8523d19924583f7f2e

Observation e4360466-1e79-4357-9803-c21c70600514 · outbound

This paper cites Can Large Language Models Really Improve by Self-critiquing Their Own Plans?.

Exchange of Perspective Prompting Enhances Reasoning in Large Language Models Can Large Language Models Really Improve by Self-critiquing Their Own Plans?

Reference 8

Resolution
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no resolver link, observed 2026-08-07T11:04:00.034064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:04:00.034064Z digest=sha256:01b6288b0afa2a6ce421f856f0aa232f527b4e7166f2c4e36ca375479fc0bc3b

Observation 0d1cd1f9-3767-42b5-80d3-572571960587 · outbound

This paper cites GPT-4 Doesn't Know It's Wrong: An Analysis of Iterative Prompting for Reasoning Problems.

Exchange of Perspective Prompting Enhances Reasoning in Large Language Models GPT-4 Doesn't Know It's Wrong: An Analysis of Iterative Prompting for Reasoning Problems

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T11:04:00.039133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:04:00.039133Z digest=sha256:c1fab6c7ebf18a12913d1faf1ef010d296a63ee6380e930ca1228b6d9a31f653

Observation 1447f72d-0e4e-4202-a1e3-a2f4c1d6d260 · outbound

This paper cites Exchange-of- thought: Enhancing large language model capabilities through cross-model commu- nication.

Exchange of Perspective Prompting Enhances Reasoning in Large Language Models Exchange-of- thought: Enhancing large language model capabilities through cross-model commu- nication

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:04:01.183896Z

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.

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Observation 0b978818-d289-4051-b005-b3fdc90f3963 · outbound

This paper cites N., Zhu, S.-C., Rajpurohit, T., Clark, P., Kalyan, A.

Exchange of Perspective Prompting Enhances Reasoning in Large Language Models N., Zhu, S.-C., Rajpurohit, T., Clark, P., Kalyan, A

Reference 11

Resolution
verified fuzzy
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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=2026-08-07T11:04:00.048513Z digest=sha256:78f5110a2afc4e17d96da089ceaf8212027558a72636ff28df3527fd4422f5c2

Observation 95565393-62d6-4fce-8dc4-100398d8c834 · outbound

This paper cites Learning to retrieve in-context examples for large language models.

Exchange of Perspective Prompting Enhances Reasoning in Large Language Models Learning to retrieve in-context examples for large language models

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:04:01.150110Z

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=2026-08-07T11:04:00.052918Z digest=sha256:98e2387dae7d2558f00de9c2ce18a7d581e74d3a785dfa3f4172c076a0b36d99

Observation 951fffc1-60f0-46c7-983e-a5396cbd6b67 · outbound

This paper cites V., Chi, E.

Exchange of Perspective Prompting Enhances Reasoning in Large Language Models V., Chi, E

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:04:01.132429Z

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.

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Observation 57d7d6fe-301e-4d7c-8e05-c7a66a01466d · outbound

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

Exchange of Perspective Prompting Enhances Reasoning in Large Language Models Decomposed prompting: A modular approach for solving complex tasks

Reference 14

Resolution
verified fuzzy
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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.

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Observation 722ddc90-7b3b-4b60-b97d-e5aa04e55ab4 · outbound

This paper cites an unresolved cited work.

Exchange of Perspective Prompting Enhances Reasoning in Large Language Models Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:04:01.099021Z

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.

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Observation 5abf5469-0d6e-4a92-97bf-ddee10f55395 · outbound

This paper cites Pal: Program-aided language models.

Exchange of Perspective Prompting Enhances Reasoning in Large Language Models Pal: Program-aided language models

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:04:01.081952Z

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=2026-08-07T11:04:00.070705Z digest=sha256:5a4b05122cc56a188379cf0f045baeedc77e0209248e9e378b66b9bedbfc9fb4

Observation 06bc3213-700b-4e5a-9063-fbe3819072d2 · outbound

This paper cites Show Your Work: Scratchpads for Intermediate Computation with Language Models.

Exchange of Perspective Prompting Enhances Reasoning in Large Language Models Show Your Work: Scratchpads for Intermediate Computation with Language Models

Reference 17

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9d6a9f60-0e74-4bfe-95c6-3c6665fd6c9b · outbound

This paper cites BlenderBot 3: a deployed conversational agent that continually learns to responsibly engage.

Exchange of Perspective Prompting Enhances Reasoning in Large Language Models BlenderBot 3: a deployed conversational agent that continually learns to responsibly engage

Reference 18

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no resolver link, observed 2026-08-07T11:04:00.079630Z

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Unavailable: canonical work link unavailable.

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Observation c063c560-a32c-4af5-949c-c9c91cf97021 · outbound

This paper cites Toolformer: Language models can teach themselves to use tools.

Exchange of Perspective Prompting Enhances Reasoning in Large Language Models Toolformer: Language models can teach themselves to use tools

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:04:01.064166Z

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.

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Observation ea0c9e7e-6b5b-4b52-8028-a5e4c3b49912 · outbound

This paper cites Constitutional AI: Harmlessness from AI Feedback.

Exchange of Perspective Prompting Enhances Reasoning in Large Language Models Constitutional AI: Harmlessness from AI Feedback

Reference 20

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no resolver link, observed 2026-08-07T11:04:00.088181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:04:00.088181Z digest=sha256:28ee6debf45fb978684c5263816d3f1751510e5133f157b42866511fa3a2cd58

Observation 24c95370-b741-43a1-b0bd-55454bf7a34e · outbound

This paper cites Faithful chain-of-thought reasoning.

Exchange of Perspective Prompting Enhances Reasoning in Large Language Models Faithful chain-of-thought reasoning

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:04:01.047197Z

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.

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Observation b97f700a-87c7-4fa0-8cb7-7840c538bd65 · outbound

This paper cites LLM Critics Help Catch LLM Bugs.

Exchange of Perspective Prompting Enhances Reasoning in Large Language Models LLM Critics Help Catch LLM Bugs

Reference 22

Resolution
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no resolver link, observed 2026-08-07T11:04:00.096836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7c2315ab-6794-4e3d-bd57-1d3f5f61c0ad · outbound

This paper cites Learning From Mistakes Makes LLM Better Reasoner.

Exchange of Perspective Prompting Enhances Reasoning in Large Language Models Learning From Mistakes Makes LLM Better Reasoner

Reference 23

Resolution
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no resolver link, observed 2026-08-07T11:04:00.101331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0efacf2d-53a3-4f66-ab4c-3055c5dfa24a · outbound

This paper cites Training Language Models to Self-Correct via Reinforcement Learning.

Exchange of Perspective Prompting Enhances Reasoning in Large Language Models Training Language Models to Self-Correct via Reinforcement Learning

Reference 24

Resolution
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no resolver link, observed 2026-08-07T11:04:00.106047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 13b46d6d-f29d-4b82-b21b-610ecd137c3e · outbound

This paper cites Language models can solve computer tasks.

Exchange of Perspective Prompting Enhances Reasoning in Large Language Models Language models can solve computer tasks

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-07T11:04:01.030930Z

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.

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Observation e5a53bff-d5d8-4250-a215-4ee1a9ef45ac · outbound

This paper cites P., Hermann, K., Welleck, S., Yazdanbakhsh, A., Clark, P.

Exchange of Perspective Prompting Enhances Reasoning in Large Language Models P., Hermann, K., Welleck, S., Yazdanbakhsh, A., Clark, P

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:04:01.014733Z

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.

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Observation a253cef9-ca64-401e-b9cf-594ff6e156d5 · outbound

This paper cites S., Yu, A.

Exchange of Perspective Prompting Enhances Reasoning in Large Language Models S., Yu, A

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:04:00.997271Z

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=2026-08-07T11:04:00.119360Z digest=sha256:058bbe2d58ecac71ccee66fa9e66299b6319de7ff30263accdd986a49ef779b3

Observation 719028ab-b999-43ef-bf0f-6e2527b77517 · outbound

This paper cites Recursive Introspection: Teaching Language Model Agents How to Self-Improve.

Exchange of Perspective Prompting Enhances Reasoning in Large Language Models Recursive Introspection: Teaching Language Model Agents How to Self-Improve

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T11:04:00.128572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation da1e0fd0-387e-432e-ae69-46dc55fc6705 · outbound

This paper cites Shepherd: A Critic for Language Model Generation.

Exchange of Perspective Prompting Enhances Reasoning in Large Language Models Shepherd: A Critic for Language Model Generation

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T11:04:00.133441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:04:00.133441Z digest=sha256:8ecc70c3d99dcfed3888ee839163294df7e9e689b6738a196ae19b3b3960e9d1

Observation 459305c4-96fa-4ed1-bedd-2c56779a3722 · outbound

This paper cites Refiner: Reasoning feedback on intermediate representations.

Exchange of Perspective Prompting Enhances Reasoning in Large Language Models Refiner: Reasoning feedback on intermediate representations

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:04:00.971476Z

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=2026-08-07T11:04:00.138641Z digest=sha256:18d63f01680d043520c908b2783361f1812ec927813d5f4c5a1c735aeae2e993

Observation 716f63c9-350d-4256-8bc3-22df251b0965 · outbound

This paper cites Critic: Large language models can self-correct with tool-interactive critiquing.

Exchange of Perspective Prompting Enhances Reasoning in Large Language Models Critic: Large language models can self-correct with tool-interactive critiquing

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:04:00.956226Z

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=2026-08-07T11:04:00.143165Z digest=sha256:d13ace29004ffb2dee523a2edad9efe379ba5814f207c7667baade1531944000

Observation f42576ea-1f40-435d-aba7-769ace307a4b · outbound

This paper cites Teaching large language models to self- debug.

Exchange of Perspective Prompting Enhances Reasoning in Large Language Models Teaching large language models to self- debug

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:04:00.940814Z

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=2026-08-07T11:04:00.148246Z digest=sha256:c4cbce428583b2a38149011fd3fc80cc44d0bba51554d3ff814a0de43d3f63e1

Observation 09227cad-997b-48d3-ae70-5800ad350fd8 · outbound

This paper cites T., Fan, Y., Zhao, V.

Exchange of Perspective Prompting Enhances Reasoning in Large Language Models T., Fan, Y., Zhao, V

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:04:00.925211Z

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=2026-08-07T11:04:00.152735Z digest=sha256:2f29c43b76bfc347419fe7bde305d15b272e3adb60c05265358515bc103b9c41

Observation b49f156c-cc5d-4b97-aa4a-be45ef80800e · outbound

This paper cites J., Hajishirzi, H., Etzioni, O., Kushman, N.

Exchange of Perspective Prompting Enhances Reasoning in Large Language Models J., Hajishirzi, H., Etzioni, O., Kushman, N

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:04:00.909718Z

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=2026-08-07T11:04:00.157245Z digest=sha256:c227591b2754326d43c52ddfd01b2ff545a86686d6b8499a98ad19fbf8bfe784

Observation ed7cbade-39ed-413a-9fd7-dfd05ebe7abd · outbound

This paper cites Solving general arithmetic word problems.

Exchange of Perspective Prompting Enhances Reasoning in Large Language Models Solving general arithmetic word problems

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:04:00.894177Z

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=2026-08-07T11:04:00.161538Z digest=sha256:772154dc9123d492bd8282c7f7815200d50f70f09793f0ed5e98b1e3537d9b6f

Observation bcf6a337-7fad-4070-86cf-08e1171e79ee · outbound

This paper cites an unresolved cited work.

Exchange of Perspective Prompting Enhances Reasoning in Large Language Models Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:04:00.878496Z

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=2026-08-07T11:04:00.167060Z digest=sha256:39a62783f7fba83bda2f61b4c2f2480cfe825260cf2151a2e24aeb44d8d09e97

Observation 5f0bc191-0131-49c0-b896-2b762264039f · outbound

This paper cites an unresolved cited work.

Exchange of Perspective Prompting Enhances Reasoning in Large Language Models Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:04:00.861999Z

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=2026-08-07T11:04:00.171444Z digest=sha256:d3add21350733e0dccda11e8a1b229ae548eaa8b1cef749cb59f9e6c2f1d8e85

Observation 461f678b-da70-45e2-8cc0-11e70b618d04 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Exchange of Perspective Prompting Enhances Reasoning in Large Language Models Training Verifiers to Solve Math Word Problems

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T11:04:00.175740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:04:00.175740Z digest=sha256:01d2162528b5dcb6c25f23cac7a9839118aed20674fb9e9d995a1417ccdf4858

Observation a093f61f-5d28-4bc8-9de8-00bae47074a3 · outbound

This paper cites Program induction by rationale generation: Learning to solve and explain algebraic word problems.

Exchange of Perspective Prompting Enhances Reasoning in Large Language Models Program induction by rationale generation: Learning to solve and explain algebraic word problems

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:04:00.845165Z

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=2026-08-07T11:04:00.180145Z digest=sha256:5413564dda4de39632323acb096763450ede26797e48951a99595348e2dc32b3

Observation 19b1217d-eaa2-41a3-bd89-74badc72d19a · outbound

This paper cites Measuring mathematical problem solving with the MATH dataset.

Exchange of Perspective Prompting Enhances Reasoning in Large Language Models Measuring mathematical problem solving with the MATH dataset

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:04:00.827459Z

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=2026-08-07T11:04:00.184321Z digest=sha256:d79b8704d45b301b4aa928b2e67f68520cd43ccc4bdb1292b9cc77ca52cad27c

Observation 79ce3937-3259-4f31-b320-3d964e5b232a · outbound

This paper cites Complexity-based prompting for multi-step reasoning.

Exchange of Perspective Prompting Enhances Reasoning in Large Language Models Complexity-based prompting for multi-step reasoning

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:04:00.810655Z

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=2026-08-07T11:04:00.188614Z digest=sha256:f7b228da203d2f2a8f942432f7d7b93dc386a719b86497e5efd37057437b274c

Observation 27e8e74c-ed9b-43e1-b0b9-22c2d7fea95f · outbound

This paper cites Training language models to follow 14 Lin Sun instructions with human feedback.Advances in Neural Information Processing Systems, vol.

Exchange of Perspective Prompting Enhances Reasoning in Large Language Models Training language models to follow 14 Lin Sun instructions with human feedback.Advances in Neural Information Processing Systems, vol

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:04:00.791404Z

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=2026-08-07T11:04:00.192864Z digest=sha256:3c39cf30d1f729ec7dc2003a59616992984f2d90f4b1d52fee0d6ac7f0d3b59a

Observation 2edd28fb-c699-4fb3-a4f5-4d83f9b30d97 · outbound

This paper cites GPT-4 Technical Report.

Exchange of Perspective Prompting Enhances Reasoning in Large Language Models GPT-4 Technical Report

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T11:04:00.197175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:04:00.197175Z digest=sha256:2aceac1ccab6e1b6e0b86303476a2d2739674bf790f65321eefacecfc48a41aa

Observation 09136413-ace3-4b7a-8ee2-a8e34780cc26 · outbound

This paper cites S., Reid, M., Matsuo, Y., Iwasawa, Y.

Exchange of Perspective Prompting Enhances Reasoning in Large Language Models S., Reid, M., Matsuo, Y., Iwasawa, Y

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:04:00.774733Z

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=2026-08-07T11:04:00.202473Z digest=sha256:c15d2ae1fa24f586928a05a7f34f2396b2acb294a4c200db9c69c5d4efe378ed

Observation 6703f689-d39c-45e4-8b31-d11a8849bb81 · outbound

This paper cites K.-W., Lim, E.-P.

Exchange of Perspective Prompting Enhances Reasoning in Large Language Models K.-W., Lim, E.-P

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:04:00.757731Z

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=2026-08-07T11:04:00.206964Z digest=sha256:2062c42d9013ef99610fcbd0337f90d61b840ffc37afca5255d45c07c0ffe651

Observation e1fefb43-5c8f-4dfb-ba99-4c7de46217d0 · outbound

This paper cites Re-Reading Improves Reasoning in Large Language Models.

Exchange of Perspective Prompting Enhances Reasoning in Large Language Models Re-Reading Improves Reasoning in Large Language Models

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-07T11:04:00.211127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:04:00.211127Z digest=sha256:5610b7cd7d5d1538cf56ead00016ce4b304adb26a801e55dc5341954e4e2f265

Observation 7f384110-a317-4683-bae7-580ecbfa0995 · outbound

This paper cites Zero-Shot Chain-of-Thought Reasoning Guided by Evolutionary Algorithms in Large Language Models.

Exchange of Perspective Prompting Enhances Reasoning in Large Language Models Zero-Shot Chain-of-Thought Reasoning Guided by Evolutionary Algorithms in Large Language Models

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T11:04:00.215938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:04:00.215938Z digest=sha256:b3783b3a0e75096b9bff130ea464379f5efd87c93ec77b622b44f75df7a0f031

Observation 8c53726b-2265-4280-8dfe-b3642606f8bb · outbound

This paper cites Large language models are contrastive reasoners.arXiv preprint arXiv:2403.08211, 2024.

Exchange of Perspective Prompting Enhances Reasoning in Large Language Models Large language models are contrastive reasoners.arXiv preprint arXiv:2403.08211, 2024

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T11:04:00.221095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:04:00.221095Z digest=sha256:4fae46ed75fbf5c3df70f0e533e9fb1f7ed2b57250b8260a9991424cfd507e77

Observation 473a9940-e51d-4df0-83fb-3a63069c2757 · outbound

This paper cites Cumulative Reasoning with Large Language Models.

Exchange of Perspective Prompting Enhances Reasoning in Large Language Models Cumulative Reasoning with Large Language Models

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T11:04:00.225326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:04:00.225326Z digest=sha256:360558718c98a72e6d24d6336f9d3b8e24c7ff7befe90e48bc6a13779fc55109

Observation 7c2c5a61-e985-4170-8fb4-efe0be43939d · outbound

This paper cites ToRA: A tool-integrated reasoning agent for mathematical problem solving.

Exchange of Perspective Prompting Enhances Reasoning in Large Language Models ToRA: A tool-integrated reasoning agent for mathematical problem solving

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:04:00.741688Z

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=2026-08-07T11:04:00.229883Z digest=sha256:2cc8da9b7091b3b259586d93dc0e494cf6732ecafb814fee337b89c17d68cd93

Observation e9f28c5f-7a1e-4095-b17c-7a1ce29a1e0d · outbound

This paper cites Skills-in-Context Prompting: Unlocking Compositionality in Large Language Models.

Exchange of Perspective Prompting Enhances Reasoning in Large Language Models Skills-in-Context Prompting: Unlocking Compositionality in Large Language Models

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-07T11:04:00.234392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:04:00.234392Z digest=sha256:2030f9d6830579185a045fbac14fc55e0568df74e6b79e690657b55193d0bfb5

Observation 2188f8dd-2779-48fd-8232-2a3816a067c6 · outbound

This paper cites L., Shen, J., Hu, J., Han, X., Huang, Y., Zhang, Y., Liu, J., Qi, L., Liu, Z., Sun, M.

Exchange of Perspective Prompting Enhances Reasoning in Large Language Models L., Shen, J., Hu, J., Han, X., Huang, Y., Zhang, Y., Liu, J., Qi, L., Liu, Z., Sun, M

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:04:00.724612Z

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=2026-08-07T11:04:00.238985Z digest=sha256:2af845e6929830f6438c1df5abdfa7e962283cb7b6447ca92b5469974404647f

Observation 5b808128-a502-48a7-b5cd-e0adf3753e8d · outbound

This paper cites Qwen2 Technical Report.

Exchange of Perspective Prompting Enhances Reasoning in Large Language Models Qwen2 Technical Report

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-07T11:04:00.242996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:04:00.242996Z digest=sha256:dad139578e4ab05cc1a299a711f886beb907db7a7fa6a23207373d5a3cd5e500

Observation d338812f-ba97-4403-90c5-24c4132fe0e7 · outbound

This paper cites an unresolved cited work.

Exchange of Perspective Prompting Enhances Reasoning in Large Language Models Unresolved cited work

Reference 2024

Resolution
parse uncertain
no resolver link, observed 2026-08-07T11:04:00.123778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:04:00.123778Z digest=sha256:fb9c35f8cdf19228b3ac0390e1462073fa8fbb1ba5c4325177d181599158f3b6

Pith citing papers

No inbound Pith citation observations are available.