Paper Citation Record · LEDGER

Preference Optimization for Reasoning with Pseudo Feedback

As of 15 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 9 inbound Pith citation observations for arXiv:2411.16345.

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

pith.paper-citation-record.v1
2411.16345 v2

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:21:05.745640Z

measured 57 of 57 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T04:29:40.974895Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T22:16:16.564391Z

Reference resolution

48 of 48 outbound references displayed

verified exact0
verified fuzzy11
unresolved36
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 174dbf0b-60f1-45c0-a44f-29ce76466bd0 · outbound

This paper cites GPT-4 Technical Report.

Preference Optimization for Reasoning with Pseudo Feedback GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T13:21:05.514625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13c9d3e8-ae00-4b04-82ef-dc4e014b1d5a · outbound

This paper cites 480k, Iter.

Preference Optimization for Reasoning with Pseudo Feedback 480k, Iter

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:21:06.424570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 63f44db6-bc33-4bd8-8334-7573b55d8cf2 · outbound

This paper cites Program Synthesis with Large Language Models.

Preference Optimization for Reasoning with Pseudo Feedback Program Synthesis with Large Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T13:21:05.525112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52744be6-3037-4c8f-8761-bbd77b8bdd44 · outbound

This paper cites Scaling Synthetic Data Creation with 1,000,000,000 Personas.

Preference Optimization for Reasoning with Pseudo Feedback Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T13:21:05.533533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62556cbc-376b-4d06-a659-ee80689f64c4 · outbound

This paper cites Bootstrapping Language Models with DPO Implicit Rewards.

Preference Optimization for Reasoning with Pseudo Feedback Bootstrapping Language Models with DPO Implicit Rewards

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T13:21:05.539306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e07a0c6b-7b11-47dc-8d52-cf7a76238c08 · outbound

This paper cites (4) Estimate the expected returns of each prefix by checking the results approached by the completions.

Preference Optimization for Reasoning with Pseudo Feedback (4) Estimate the expected returns of each prefix by checking the results approached by the completions

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:21:06.443302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1206815a-5c8f-4d7a-b4ae-d8e15f002a5f · outbound

This paper cites SAIL: Self-Improving Efficient Online Alignment of Large Language Models.

Preference Optimization for Reasoning with Pseudo Feedback SAIL: Self-Improving Efficient Online Alignment of Large Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T13:21:05.549512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 742c295d-db99-4c47-8011-fd8e06a9928d · outbound

This paper cites RAFT: reward ranked finetuning for generative foundation model alignment.

Preference Optimization for Reasoning with Pseudo Feedback RAFT: reward ranked finetuning for generative foundation model alignment

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:21:06.501219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6bbc4a7e-b8cc-4b9e-86d0-5d060bdf148d · outbound

This paper cites StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback.

Preference Optimization for Reasoning with Pseudo Feedback StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T13:21:05.560207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88cfdff8-8442-4637-94b5-ec8410ce3a47 · outbound

This paper cites The Llama 3 Herd of Models.

Preference Optimization for Reasoning with Pseudo Feedback The Llama 3 Herd of Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T13:21:05.568833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc02ae9a-4bb2-4e7e-a6bd-8032e0b7fe20 · outbound

This paper cites DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence.

Preference Optimization for Reasoning with Pseudo Feedback DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T13:21:05.574501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d74107e-23e0-44ae-ab34-1100b62bb662 · outbound

This paper cites Solving Math Word Problems by Combining Language Models With Symbolic Solvers.

Preference Optimization for Reasoning with Pseudo Feedback Solving Math Word Problems by Combining Language Models With Symbolic Solvers

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T13:21:05.578977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a9d878a-4312-4a8d-acc5-514af8aca66f · outbound

This paper cites Large Language Models Can Self-Improve.

Preference Optimization for Reasoning with Pseudo Feedback Large Language Models Can Self-Improve

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T13:21:05.583321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9973ac34-a7a1-49f4-b930-69c74e1919cb · outbound

This paper cites Qwen2.5-Coder Technical Report.

Preference Optimization for Reasoning with Pseudo Feedback Qwen2.5-Coder Technical Report

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T13:21:05.588551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a9df988-0678-4406-9028-f2e24909d756 · outbound

This paper cites LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code.

Preference Optimization for Reasoning with Pseudo Feedback LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T13:21:05.592704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5709a708-bbc7-4505-815a-6730cf786dff · outbound

This paper cites Learning Planning-based Reasoning by Trajectories Collection and Process Reward Synthesizing.

Preference Optimization for Reasoning with Pseudo Feedback Learning Planning-based Reasoning by Trajectories Collection and Process Reward Synthesizing

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T13:21:05.597420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9bd8fbcd-961d-4b06-b92d-302f4ed7e754 · outbound

This paper cites Prover-Verifier Games improve legibility of LLM outputs.

Preference Optimization for Reasoning with Pseudo Feedback Prover-Verifier Games improve legibility of LLM outputs

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T13:21:05.601952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6ee085e-1b7d-49ac-a12d-16e73d18f24b · outbound

This paper cites Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs.

Preference Optimization for Reasoning with Pseudo Feedback Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T13:21:05.606869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d807568-e2d1-415a-a1cc-302db3616210 · outbound

This paper cites Coderl: Mastering code generation through pretrained models and deep reinforcement learning.

Preference Optimization for Reasoning with Pseudo Feedback Coderl: Mastering code generation through pretrained models and deep reinforcement learning

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:21:06.485975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7ebf23aa-7318-41e2-8901-da65faefeca4 · outbound

This paper cites Making Large Language Models Better Reasoners with Step-Aware Verifier.

Preference Optimization for Reasoning with Pseudo Feedback Making Large Language Models Better Reasoners with Step-Aware Verifier

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T13:21:05.617722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7cdcc22-a9ac-466e-90fc-935bbc392553 · outbound

This paper cites RLTF: re- inforcement learning from unit test feedback.

Preference Optimization for Reasoning with Pseudo Feedback RLTF: re- inforcement learning from unit test feedback

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:21:06.472642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a20168ce-c9bb-42fa-8891-296854d86799 · outbound

This paper cites WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct.

Preference Optimization for Reasoning with Pseudo Feedback WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T13:21:05.632235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c42a274a-8769-41e0-b0fc-7c518f53c694 · outbound

This paper cites Orca-Math: Unlocking the potential of SLMs in Grade School Math.

Preference Optimization for Reasoning with Pseudo Feedback Orca-Math: Unlocking the potential of SLMs in Grade School Math

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T13:21:05.636588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3be9682e-a04f-4a89-bf56-824d1c93ef78 · outbound

This paper cites Code Llama: Open Foundation Models for Code.

Preference Optimization for Reasoning with Pseudo Feedback Code Llama: Open Foundation Models for Code

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T13:21:05.641756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f48d79d-c892-4a5e-bcc2-a9e028bd1c30 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Preference Optimization for Reasoning with Pseudo Feedback Proximal Policy Optimization Algorithms

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T13:21:05.646572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9fc22064-f5f7-43ef-b6f2-38f182566959 · outbound

This paper cites Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters.

Preference Optimization for Reasoning with Pseudo Feedback Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T13:21:05.657171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8ee0290-5a30-48a9-a85c-fdb7b78c804e · outbound

This paper cites MathScale: Scaling Instruction Tuning for Mathematical Reasoning.

Preference Optimization for Reasoning with Pseudo Feedback MathScale: Scaling Instruction Tuning for Mathematical Reasoning

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-12T13:21:05.661293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a46cb532-a946-4539-bdfa-2eae57a40fca · outbound

This paper cites A Survey on Self-Evolution of Large Language Models.

Preference Optimization for Reasoning with Pseudo Feedback A Survey on Self-Evolution of Large Language Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-12T13:21:05.665378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01e967de-159c-4f66-9986-428917799a3d · outbound

This paper cites Solving math word problems with process- and outcome-based feedback.

Preference Optimization for Reasoning with Pseudo Feedback Solving math word problems with process- and outcome-based feedback

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-12T13:21:05.669950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d87adb14-b5db-48e3-9332-d04f921936df · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

Preference Optimization for Reasoning with Pseudo Feedback Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-12T13:21:05.674766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34f12c37-2422-4376-8125-13d1e8e63036 · outbound

This paper cites Enabling Language Models to Implicitly Learn Self-Improvement.

Preference Optimization for Reasoning with Pseudo Feedback Enabling Language Models to Implicitly Learn Self-Improvement

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T13:21:05.681953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c0632bf-d3c1-44f4-97b5-d612d366652c · outbound

This paper cites Large Language Models are Better Reasoners with Self-Verification.

Preference Optimization for Reasoning with Pseudo Feedback Large Language Models are Better Reasoners with Self-Verification

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-12T13:21:05.689035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 219e56c7-aafb-4429-97ca-55db9a689739 · outbound

This paper cites CodeUltraFeedback: An LLM-as-a-Judge Dataset for Aligning Large Language Models to Coding Preferences.

Preference Optimization for Reasoning with Pseudo Feedback CodeUltraFeedback: An LLM-as-a-Judge Dataset for Aligning Large Language Models to Coding Preferences

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-12T13:21:05.693955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ee6d23c-8f26-4e25-a58a-0e9420d48bd2 · outbound

This paper cites Qwen2 Technical Report.

Preference Optimization for Reasoning with Pseudo Feedback Qwen2 Technical Report

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-12T13:21:05.698888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d30c269e-3703-499c-a810-2e225c7ff2d0 · outbound

This paper cites Self-Rewarding Language Models.

Preference Optimization for Reasoning with Pseudo Feedback Self-Rewarding Language Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-12T13:21:05.703615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 757780c0-29b1-4677-992f-5d8bcace9bd7 · outbound

This paper cites MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning.

Preference Optimization for Reasoning with Pseudo Feedback MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-12T13:21:05.709656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 659c4b6a-699d-458e-93a6-3c57dca53e67 · outbound

This paper cites too easy.

Preference Optimization for Reasoning with Pseudo Feedback too easy

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:21:06.457831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 64c1ed25-ba48-4e3d-ad9e-a1f4ed295f28 · outbound

This paper cites 0001", "11.

Preference Optimization for Reasoning with Pseudo Feedback 0001", "11

Reference 43

Resolution: malformed identifier; raw_fallback, observed 2026-08-12T13:21:06.402307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d6b5d902-eb53-4160-b58c-3591936cac53 · outbound

This paper cites test_case_0.

Preference Optimization for Reasoning with Pseudo Feedback test_case_0

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:21:06.384029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b50a3e24-c244-41c5-9317-f53465fe7185 · outbound

This paper cites Return the least number of operators used.

Preference Optimization for Reasoning with Pseudo Feedback Return the least number of operators used

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:21:06.369105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 051bb9fa-5c7d-42cd-a092-722743d0964e · outbound

This paper cites I will show you a programming problem.

Preference Optimization for Reasoning with Pseudo Feedback I will show you a programming problem

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:21:06.354072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a553c65a-15e6-4899-899d-ff2bf26bccb6 · outbound

This paper cites test_case_0.

Preference Optimization for Reasoning with Pseudo Feedback test_case_0

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:21:06.340237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0b0f3bef-9296-43d0-923d-6a58d8aafcba · outbound

This paper cites Return the least number of operators used.

Preference Optimization for Reasoning with Pseudo Feedback Return the least number of operators used

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:21:06.325635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 94f8356a-8e62-4cdf-bc87-0aa32a1aa7a8 · outbound

This paper cites The Curse of Recursion: Training on Generated Data Makes Models Forget.

Preference Optimization for Reasoning with Pseudo Feedback The Curse of Recursion: Training on Generated Data Makes Models Forget

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-12T13:21:05.651965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 294e1774-b989-4d44-b7fe-9e743c921d60 · outbound

This paper cites Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models.

Preference Optimization for Reasoning with Pseudo Feedback Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-12T13:21:05.544454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 042d3cc4-9493-4a1c-ab21-7ec0013f7a15 · outbound

This paper cites Self-Consuming Generative Models Go MAD.

Preference Optimization for Reasoning with Pseudo Feedback Self-Consuming Generative Models Go MAD

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-12T13:21:05.520773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4551775-ebc5-4bce-950f-c5d9e3dcf410 · outbound

This paper cites Measuring Progress on Scalable Oversight for Large Language Models.

Preference Optimization for Reasoning with Pseudo Feedback Measuring Progress on Scalable Oversight for Large Language Models

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-12T13:21:05.529270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a373ae0a-b483-4afb-96c9-5031545f29c5 · outbound

This paper cites Competition-Level Code Generation with AlphaCode.

Preference Optimization for Reasoning with Pseudo Feedback Competition-Level Code Generation with AlphaCode

Reference 5333

Resolution: unresolved; no resolver link, observed 2026-08-12T13:21:05.623358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 80cd2e01-5b30-42e1-98d0-4513221881c6 · inbound

ACECODER: Acing Coder RL via Automated Test-Case Synthesis cites this paper.

ACECODER: Acing Coder RL via Automated Test-Case Synthesis Preference Optimization for Reasoning with Pseudo Feedback

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-09T14:53:49.750394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcd9bdc4-0142-4991-8947-eef73a0f7d43 · inbound

Visual-RFT: Visual Reinforcement Fine-Tuning cites this paper.

Visual-RFT: Visual Reinforcement Fine-Tuning Preference Optimization for Reasoning with Pseudo Feedback

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-13T22:16:16.566145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 26e99566-4cca-4a75-bc1b-f5fedb2a0b7a · inbound

UniVG-R1: Reasoning Guided Universal Visual Grounding with Reinforcement Learning cites this paper.

UniVG-R1: Reasoning Guided Universal Visual Grounding with Reinforcement Learning Preference Optimization for Reasoning with Pseudo Feedback

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:51.424112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8e3f768-a80e-443a-9303-c26bbbe2ec9a · inbound

Can LLMs Generate High-Quality Test Cases for Algorithm Problems? TestCase-Eval: A Systematic Evaluation of Fault Coverage and Exposure cites this paper.

Can LLMs Generate High-Quality Test Cases for Algorithm Problems? TestCase-Eval: A Systematic Evaluation of Fault Coverage and Exposure Preference Optimization for Reasoning with Pseudo Feedback

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T00:59:56.058442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f452cb3-bc9a-4c92-8f82-d632e1321c79 · inbound

AdsQA: Towards Advertisement Video Understanding cites this paper.

AdsQA: Towards Advertisement Video Understanding Preference Optimization for Reasoning with Pseudo Feedback

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T20:20:36.762837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 218d65f0-644c-4e71-90f8-e147acf3ad4f · inbound

Self-Consistency from Only Two Samples: CoT-PoT Ensembling for Efficient LLM Reasoning cites this paper.

Self-Consistency from Only Two Samples: CoT-PoT Ensembling for Efficient LLM Reasoning Preference Optimization for Reasoning with Pseudo Feedback

Reference 76

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T05:41:01.874936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1f28dbfd-d9dd-415e-8e08-3788e98bfeb9 · inbound

Towards Order Fairness: Mitigating LLMs Order Sensitivity through Dual Group Advantage Optimization cites this paper.

Towards Order Fairness: Mitigating LLMs Order Sensitivity through Dual Group Advantage Optimization Preference Optimization for Reasoning with Pseudo Feedback

Reference 36

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T07:37:29.881455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 703e2227-665d-42d4-b3ba-11c08ed419cc · inbound

SocietyBench: Forecasting Counterfactual Social-World Evolution cites this paper.

SocietyBench: Forecasting Counterfactual Social-World Evolution Preference Optimization for Reasoning with Pseudo Feedback

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-05T04:17:18.595854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b292d5d9-3f2f-4837-adf8-4d362e062637 · inbound

SocietyBench: Forecasting Counterfactual Social-World Evolution cites this paper.

SocietyBench: Forecasting Counterfactual Social-World Evolution Preference Optimization for Reasoning with Pseudo Feedback

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-10T04:29:40.974895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.