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Paper Citation Record · LEDGER

TACO: Topics in Algorithmic COde generation dataset

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 66 inbound Pith citation observations for arXiv:2312.14852.

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

pith.paper-citation-record.v1
2312.14852 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 66 of 66 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 66 of 66 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:22:28.423260Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

4
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation b6288296-05d5-4e95-9ccb-19f594646ff4 · inbound

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

LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code TACO: Topics in Algorithmic COde generation dataset

Reference 271

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arxiv_id, observed 2026-05-10T17:34:42.934167Z

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.

source=arxiv_source observed=2026-05-10T17:34:42.565806Z digest=sha256:9e4273a4dfae1223540795c6f0a9c70d1615747df0b355688aa093a00f5943dc

Observation 27303d7d-965a-40b4-b0dd-882ba098deed · inbound

A Preliminary Study of Multilingual Code Language Models for Code Generation Task Using Translated Benchmarks cites this paper.

A Preliminary Study of Multilingual Code Language Models for Code Generation Task Using Translated Benchmarks TACO: Topics in Algorithmic COde generation dataset

Reference 13

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source=pdf_text observed=2026-08-12T14:18:33.132332Z digest=sha256:9931cc48abe35f433aae4e449ae3ad3edaf5857f51a26a601c600daeb9492ddd

Observation a23b9126-6849-4429-a0a1-5e7b21ed81a4 · inbound

o1-Coder: an o1 Replication for Coding cites this paper.

o1-Coder: an o1 Replication for Coding TACO: Topics in Algorithmic COde generation dataset

Reference 19

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source=arxiv_source observed=2026-08-12T10:11:29.005006Z digest=sha256:8ad5cf8c5835f85ecacd3e83a891d7be52036cf27eac9700c281aa51fd67941f

Observation 2ae719b7-e628-427b-b802-9ddf63d8f4d6 · inbound

Improving Multi-Step Reasoning Abilities of Large Language Models with Direct Advantage Policy Optimization cites this paper.

Improving Multi-Step Reasoning Abilities of Large Language Models with Direct Advantage Policy Optimization TACO: Topics in Algorithmic COde generation dataset

Reference 26

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no resolver link, observed 2026-08-11T04:56:22.434443Z

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source=pdf_text observed=2026-08-11T04:56:22.434443Z digest=sha256:bafa2124b5f796752d4c6e994e310a60cf21a09db221b770e22266edff1bd514

Observation 0704a626-34ac-4c4f-a57f-44a51bcae9e7 · inbound

CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings cites this paper.

CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings TACO: Topics in Algorithmic COde generation dataset

Reference 16

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source=pdf_text observed=2026-08-10T22:37:58.454843Z digest=sha256:91477d164040fbb80d07ee475aec3eff4f0d0b947af03972289b85d0a83b8650

Observation 17df8dc0-809e-41bb-911e-a95879b27bf5 · inbound

Process Reinforcement through Implicit Rewards cites this paper.

Process Reinforcement through Implicit Rewards TACO: Topics in Algorithmic COde generation dataset

Reference 153

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arxiv_id, observed 2026-05-11T20:23:31.167033Z

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.

source=arxiv_source observed=2026-05-11T20:23:30.763794Z digest=sha256:b7b208f31f92453c0325f839b82d4db99d5d3fd717d0310f4bf3723811bcbd20

Observation 836b3169-4623-4131-b2e4-21013d2843c9 · inbound

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

ACECODER: Acing Coder RL via Automated Test-Case Synthesis TACO: Topics in Algorithmic COde generation dataset

Reference 30

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no resolver link, observed 2026-08-09T14:53:49.779824Z

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source=arxiv_source observed=2026-08-09T14:53:49.779824Z digest=sha256:99ce6f9150f0f23fe4ae1f551ad3ff4863169d9921ed4f73fde55192466cce4c

Observation f932ce68-6eff-46c7-84e6-82d3a02aeab1 · inbound

Hallucination by Code Generation LLMs: Taxonomy, Benchmarks, Mitigation, and Challenges cites this paper.

Hallucination by Code Generation LLMs: Taxonomy, Benchmarks, Mitigation, and Challenges TACO: Topics in Algorithmic COde generation dataset

Reference 29

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source=pdf_text observed=2026-08-16T05:22:28.423260Z digest=sha256:1013c14ebd32f4dce471a1a5b6d5fb3f1199d9771351d7ab2d631c9553e31cf6

Observation ccb18a27-11ac-4e4d-9b38-88f173ee4f50 · inbound

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models cites this paper.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models TACO: Topics in Algorithmic COde generation dataset

Reference 67

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source=arxiv_source observed=2026-08-16T04:43:44.223637Z digest=sha256:b2a870a4868dce782ea462c100b1c9733fdb1df0fec8ead6abed2c34ae3b281c

Observation e538ce1f-d0d9-4839-a2d3-e27655a359db · inbound

Scalable Chain of Thoughts via Elastic Reasoning cites this paper.

Scalable Chain of Thoughts via Elastic Reasoning TACO: Topics in Algorithmic COde generation dataset

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:13:33.111620Z digest=sha256:cb9a682193de33d8a2e96e3cdd38b9f3ad1ce6f5f525b07f77276fdf46a26664

Observation 007173f1-59ce-4784-b6c0-7b843d0f61b5 · inbound

rStar-Coder: Scaling Competitive Code Reasoning with a Large-Scale Verified Dataset cites this paper.

rStar-Coder: Scaling Competitive Code Reasoning with a Large-Scale Verified Dataset TACO: Topics in Algorithmic COde generation dataset

Reference 21

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no resolver link, observed 2026-08-07T13:40:18.118291Z

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source=pdf_text observed=2026-08-07T13:40:18.118291Z digest=sha256:610e7d4ad9730c77533d62ce3480620c4c5270d5329ee9982cd6884baab8fd95

Observation 5ff3450d-67e3-421e-a268-6733d4a2aae4 · inbound

Skywork Open Reasoner 1 Technical Report cites this paper.

Skywork Open Reasoner 1 Technical Report TACO: Topics in Algorithmic COde generation dataset

Reference 15

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arxiv_id, observed 2026-05-17T04:26:47.328075Z

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.

source=pdf_text observed=2026-05-17T04:26:47.283983Z digest=sha256:32f1624ff5b6052716cef7418079e9fe40413400e20f9537975302fb475d72d6

Observation 5d72edb9-f7f9-44e4-8f82-d98ba46e6223 · inbound

HardTests: Synthesizing High-Quality Test Cases for LLM Coding cites this paper.

HardTests: Synthesizing High-Quality Test Cases for LLM Coding TACO: Topics in Algorithmic COde generation dataset

Reference 2022

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:39:56.321057Z digest=sha256:27e5c9a0055214782b39d0a1f8ba27cb3858bb04b714ed8693d3849553cb1ce3

Observation 89eedddc-b02a-4308-a4a0-54ec973aa9e5 · inbound

CodeContests+: High-Quality Test Case Generation for Competitive Programming cites this paper.

CodeContests+: High-Quality Test Case Generation for Competitive Programming TACO: Topics in Algorithmic COde generation dataset

Reference 10

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source=pdf_text observed=2026-08-07T10:16:53.387241Z digest=sha256:8c211ec6d1e1d9366b06121acfa4300ba9fc4136267fe4342c042b64641eac3a

Observation 9010006e-2ddc-44bc-8aee-0bc6916fa68c · inbound

A Survey of Automatic Evaluation Methods on Text, Visual and Speech Generations cites this paper.

A Survey of Automatic Evaluation Methods on Text, Visual and Speech Generations TACO: Topics in Algorithmic COde generation dataset

Reference 195

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no resolver link, observed 2026-08-07T10:17:46.905148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:17:46.905148Z digest=sha256:75514a733f7ef5ce0a404ed03efe146b431e4c397c638d7c1afbb999ded21642

Observation 87136dd8-ece5-4de9-ab84-a61df9295c3b · inbound

AceReason-Nemotron 1.1: Advancing Math and Code Reasoning through SFT and RL Synergy cites this paper.

AceReason-Nemotron 1.1: Advancing Math and Code Reasoning through SFT and RL Synergy TACO: Topics in Algorithmic COde generation dataset

Reference 20

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no resolver link, observed 2026-08-07T00:41:35.095187Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:41:35.095187Z digest=sha256:b4970a2539d1f5ef14f43e02f9f2bfe11f0526f9dd3f6dce3123c569460412ae

Observation 7369c7f0-44e4-4cd5-96dd-5f2271220783 · inbound

Ring-lite: Scalable Reasoning via C3PO-Stabilized Reinforcement Learning for LLMs cites this paper.

Ring-lite: Scalable Reasoning via C3PO-Stabilized Reinforcement Learning for LLMs TACO: Topics in Algorithmic COde generation dataset

Reference 2022

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source=pdf_text observed=2026-08-07T00:14:22.930873Z digest=sha256:8a77c828e794dbc4ba1ec9b1516099b7b04bd90a7ab55185d51b23a210543c3c

Observation ee4203fc-63eb-4571-ba53-df3b32843a45 · inbound

Rethinking Verification for LLM Code Generation: From Generation to Testing cites this paper.

Rethinking Verification for LLM Code Generation: From Generation to Testing TACO: Topics in Algorithmic COde generation dataset

Reference 24

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no resolver link, observed 2026-08-06T18:58:21.127876Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:58:21.127876Z digest=sha256:13ce0e41b48c86bd10993d3a50338cf4fe26d2a4028f0c9bae3799ebf191f9f7

Observation 9be66f61-899c-4eea-a565-4824e823630a · inbound

OpenCodeReasoning-II: A Simple Test Time Scaling Approach via Self-Critique cites this paper.

OpenCodeReasoning-II: A Simple Test Time Scaling Approach via Self-Critique TACO: Topics in Algorithmic COde generation dataset

Reference 19

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source=arxiv_source observed=2026-08-06T18:11:17.739485Z digest=sha256:7c92a0feeba2d4af8e24fa3a10e5eb4b86930f1dedbcf3e48098239126dfb951

Observation 4334ab84-5d2f-4f14-9a61-1c421b641368 · inbound

$\texttt{Droid}$: A Resource Suite for AI-Generated Code Detection cites this paper.

$\texttt{Droid}$: A Resource Suite for AI-Generated Code Detection TACO: Topics in Algorithmic COde generation dataset

Reference 2019

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:22:17.426395Z digest=sha256:fbebe17afc755144562c8f9e5e348d3560e05ff2dfbe1b5212d838d6be79ee0d

Observation 261eacb5-8c18-4f70-be85-b4b4db4152cc · inbound

Can One Domain Help Others? A Data-Centric Study on Multi-Domain Reasoning via Reinforcement Learning cites this paper.

Can One Domain Help Others? A Data-Centric Study on Multi-Domain Reasoning via Reinforcement Learning TACO: Topics in Algorithmic COde generation dataset

Reference 15

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no resolver link, observed 2026-08-06T14:53:04.490769Z

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source=pdf_text observed=2026-08-06T14:53:04.490769Z digest=sha256:6bfa72dd310b5ca1ed64461cbbc2493fad908c9b287556f9634bc6cc080ef418

Observation b82f73b9-385f-4561-80c9-a7bba60212f3 · inbound

Efficiency of turbulence cites this paper.

Efficiency of turbulence TACO: Topics in Algorithmic COde generation dataset

Reference 15

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source=pdf_text observed=2026-08-06T00:58:28.422526Z digest=sha256:442f9483372044b9dd125086561ff34059209d3774b89b05135f81951db4513b

Observation a1db59e0-b932-48fc-bd81-c713a38520f9 · inbound

Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs cites this paper.

Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs TACO: Topics in Algorithmic COde generation dataset

Reference 28

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no resolver link, observed 2026-08-05T22:09:46.423661Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:09:46.423661Z digest=sha256:2b0bfc18be65201e89a0361aed949f0e69aef31e19ea895a722d8778ada0d887

Observation a40da694-ab06-4ad3-8b19-18aaccf4629b · inbound

VisCodex: Unified Multimodal Code Generation via Merging Vision and Coding Models cites this paper.

VisCodex: Unified Multimodal Code Generation via Merging Vision and Coding Models TACO: Topics in Algorithmic COde generation dataset

Reference 31

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source=arxiv_source observed=2026-08-05T20:44:37.153821Z digest=sha256:f136732414981a1ada81426011addc409e5e3ca5b3f44e4d4dc86d09fa6139cd

Observation 162d2908-54e7-4457-b0be-4ee977d78c01 · inbound

Accelerating Edge Inference for Distributed MoE Models with Latency-Optimized Expert Placement cites this paper.

Accelerating Edge Inference for Distributed MoE Models with Latency-Optimized Expert Placement TACO: Topics in Algorithmic COde generation dataset

Reference 18

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arxiv_id, observed 2026-05-18T22:52:51.908258Z

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.

source=pdf_text observed=2026-05-18T22:52:39.416575Z digest=sha256:21a6bde417817e9c258a0403407a806c17481f342db842ff10642419d8bb20d7

Observation a07bfa53-d1fb-4c68-a4cd-ed3e27e349d3 · inbound

UniCode: Augmenting Evaluation for Code Reasoning cites this paper.

UniCode: Augmenting Evaluation for Code Reasoning TACO: Topics in Algorithmic COde generation dataset

Reference 2011

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no resolver link, observed 2026-08-04T09:39:47.609568Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:39:47.609568Z digest=sha256:a88b85e1a115b1f0e683b9c0da06847f0d915ed92aa460fd9643aee30f1798c8

Observation 498c88f4-de7e-41d7-b0fb-2772d6d3bf35 · inbound

CodeRL+: Improving Code Generation via Reinforcement with Execution Semantics Alignment cites this paper.

CodeRL+: Improving Code Generation via Reinforcement with Execution Semantics Alignment TACO: Topics in Algorithmic COde generation dataset

Reference 18

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arxiv_id, observed 2026-05-18T05:20:54.527865Z

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

source=pdf_text observed=2026-05-18T05:16:28.008746Z digest=sha256:c99426995c64a5b40f9dfbae574b75e78aad3fbe4a16fadf3445a58906e41ea9

Observation 561752c1-fe19-45b1-a515-32686df72350 · inbound

NVIDIA Nemotron 3: Efficient and Open Intelligence cites this paper.

NVIDIA Nemotron 3: Efficient and Open Intelligence TACO: Topics in Algorithmic COde generation dataset

Reference 175

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arxiv_id, observed 2026-05-18T01:40:42.731924Z

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

source=arxiv_source observed=2026-05-18T01:40:42.190369Z digest=sha256:075ed1de23ee6da76d43b07722a450dc56be76bc8e85122e93c87a157cea13f5

Observation cf549cd5-d549-43a6-94fd-4e0ddd499806 · inbound

Beyond Binary: Turning Partial Success into Dense Verifiable Rewards for Reinforcement Learning in Code Generation cites this paper.

Beyond Binary: Turning Partial Success into Dense Verifiable Rewards for Reinforcement Learning in Code Generation TACO: Topics in Algorithmic COde generation dataset

Reference 13

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source=arxiv_source observed=2026-08-03T12:19:32.593092Z digest=sha256:5e90f99916e9756662b12191753afee77f1faf2ea115bcf7132bb7e832bba331

Observation 69f1b680-8e02-4369-9eeb-fa7e214222ba · inbound

GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization cites this paper.

GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization TACO: Topics in Algorithmic COde generation dataset

Reference 31

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arxiv_id, observed 2026-05-15T05:31:55.949971Z

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

source=pdf_text observed=2026-05-15T05:31:55.864438Z digest=sha256:adcbdaf2de8b4731371fbbabb7977636ed32f64272945e1190f88d8518ec9d72

Observation aff22d00-c7d9-49d4-a3d4-187d633cbbcc · inbound

GLM-5: from Vibe Coding to Agentic Engineering cites this paper.

GLM-5: from Vibe Coding to Agentic Engineering TACO: Topics in Algorithmic COde generation dataset

Reference 23

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arxiv_id, observed 2026-05-11T05:46:40.983606Z

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.

source=pdf_text observed=2026-05-11T05:46:40.836161Z digest=sha256:0f40cae75aad670109ee1bb90c2b9d032c10fc1ca8455c7d42a3778206646861

Observation 56a44ba1-c44d-47a4-9aac-a9aaa476e254 · inbound

GrandCode: Achieving Grandmaster Level in Competitive Programming via Agentic Reinforcement Learning cites this paper.

GrandCode: Achieving Grandmaster Level in Competitive Programming via Agentic Reinforcement Learning TACO: Topics in Algorithmic COde generation dataset

Reference 13

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arxiv_id, observed 2026-05-13T20:33:16.664083Z

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

source=pdf_text observed=2026-05-13T20:30:17.791973Z digest=sha256:ff8bd0d0a04b761f40a32804228d409d0bc1dcc19fe1fff57d6eb55db4825fce

Observation 8ccfc955-77de-4357-a5ac-956e36376b20 · inbound

An Iterative Test-and-Repair Framework for Competitive Code Generation cites this paper.

An Iterative Test-and-Repair Framework for Competitive Code Generation TACO: Topics in Algorithmic COde generation dataset

Reference 29

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arxiv_id, observed 2026-05-10T22:35:48.571894Z

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.

source=pdf_text observed=2026-05-10T19:44:32.950977Z digest=sha256:c0c9f9ee6099826eafcd862077449d6ff81b976cca6cbf825e8b04d38a947655

Observation ff7eec66-50db-4a67-a4a7-c0b82defe8fa · inbound

An Iterative Test-and-Repair Framework for Competitive Code Generation cites this paper.

An Iterative Test-and-Repair Framework for Competitive Code Generation TACO: Topics in Algorithmic COde generation dataset

Reference 35

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source=pdf_text observed=2026-07-13T09:22:44.557413Z digest=sha256:128ddc00bdd25f0bc895e071f4d62a30aaf67b61eba28831b2ac58a4f45d1dab

Observation 9a0900a7-e352-4f55-b8cf-dc998bf08ad3 · inbound

RAGEN-2: Reasoning Collapse in Agentic RL cites this paper.

RAGEN-2: Reasoning Collapse in Agentic RL TACO: Topics in Algorithmic COde generation dataset

Reference 21

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arxiv_id, observed 2026-05-10T22:55:51.524084Z

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.

source=pdf_text observed=2026-05-10T19:27:42.198509Z digest=sha256:26c5c6f8acf326b4f324eacde6ea02d31531b92d4cce067cbb8f0026a596ef62

Observation a74e2071-755b-4fe2-beff-afe49e1a904d · inbound

AdverMCTS: Combating Pseudo-Correctness in Code Generation via Adversarial Monte Carlo Tree Search cites this paper.

AdverMCTS: Combating Pseudo-Correctness in Code Generation via Adversarial Monte Carlo Tree Search TACO: Topics in Algorithmic COde generation dataset

Reference 30

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verified exact
arxiv_id, observed 2026-05-11T08:40:57.416048Z

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.

source=arxiv_source observed=2026-05-10T16:35:16.056397Z digest=sha256:2a9e7911d5bd5692d9a6dbc2a5b19c4edccccb48937c0b4453c477fc54d708f4

Observation 1d51a92f-f8c5-4f55-b37d-54c3d1139629 · inbound

SCOPE: Signal-Calibrated On-Policy Distillation Enhancement with Dual-Path Adaptive Weighting cites this paper.

SCOPE: Signal-Calibrated On-Policy Distillation Enhancement with Dual-Path Adaptive Weighting TACO: Topics in Algorithmic COde generation dataset

Reference 16

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unresolved
no resolver link, observed 2026-07-12T22:24:51.874340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T22:24:51.874340Z digest=sha256:4a33c87d0644b3149dc92d68461e2d0fa516442c7327ad5e7552c639adfab760

Observation d140417b-914e-4848-9528-f771cef5b604 · 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 TACO: Topics in Algorithmic COde generation dataset

Reference 71

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metadata mismatch
arxiv_id, observed 2026-05-10T05:41:01.877952Z

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.

source=arxiv_source observed=2026-05-10T05:40:25.414166Z digest=sha256:e780a5ff81253e6f2043aac12b5ee427bae2778dda69545f4fa97a96fe7a647e

Observation d8389a1d-71a8-4977-ae1e-312e4eb5a5bc · inbound

Skill Neologisms: Towards Skill-based Continual Learning cites this paper.

Skill Neologisms: Towards Skill-based Continual Learning TACO: Topics in Algorithmic COde generation dataset

Reference 7

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verified exact
arxiv_id, observed 2026-05-11T17:36:06.286786Z

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.

source=pdf_text observed=2026-05-08T17:24:42.926961Z digest=sha256:fab996cc7bd50d62478ff0bbbcd0b620eded93cf6433bb6bae52b60ba9becaeb

Observation 68d28535-4626-44f1-b5d9-348610e53257 · inbound

Skill Neologisms: Towards Skill-based Continual Learning cites this paper.

Skill Neologisms: Towards Skill-based Continual Learning TACO: Topics in Algorithmic COde generation dataset

Reference 6

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verified exact
arxiv_id, observed 2026-05-20T23:33:50.468123Z

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.

source=pdf_text observed=2026-05-20T23:33:01.053276Z digest=sha256:1dfe8773fef67c564ab7f4b5afba238eca06e3d2d5141793ea20abc388b8df6c

Observation 37f6e889-3bde-47f9-82d3-0e9ab4fb830e · inbound

Uno-Orchestra: Parsimonious Agent Routing via Selective Delegation cites this paper.

Uno-Orchestra: Parsimonious Agent Routing via Selective Delegation TACO: Topics in Algorithmic COde generation dataset

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:50:40.562611Z

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.

source=pdf_text observed=2026-05-08T18:05:23.536174Z digest=sha256:0bf777116d78c66bd09dcd57c58936e4d85fdd63ac7915e7a133159979823a0b

Observation c7dc8c4d-9cbf-4136-98cb-af87a3ff2b19 · inbound

SimCT: Recovering Lost Supervision for Cross-Tokenizer On-Policy Distillation cites this paper.

SimCT: Recovering Lost Supervision for Cross-Tokenizer On-Policy Distillation TACO: Topics in Algorithmic COde generation dataset

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-05-11T03:05:53.680836Z

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.

source=pdf_text observed=2026-05-11T03:01:13.168529Z digest=sha256:25d15da3d47267a751f55ddaf413055f1883ddf9167e500bda828e32c122203a

Observation 3fa173a6-78a0-4f7f-8aa9-77a3cff314a4 · inbound

SimCT: Recovering Lost Supervision for Cross-Tokenizer On-Policy Distillation cites this paper.

SimCT: Recovering Lost Supervision for Cross-Tokenizer On-Policy Distillation TACO: Topics in Algorithmic COde generation dataset

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-05-22T10:31:25.030496Z

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.

source=pdf_text observed=2026-05-22T10:30:11.309910Z digest=sha256:4492104e035d205b3a010c0031c73abb5065a2ccc8854b9cec68a2af797b8da1

Observation 5c43c261-685f-4a3f-a427-c67dc06f9c95 · inbound

DARE: Difficulty-Adaptive Reinforcement Learning with Co-Evolved Difficulty Estimation cites this paper.

DARE: Difficulty-Adaptive Reinforcement Learning with Co-Evolved Difficulty Estimation TACO: Topics in Algorithmic COde generation dataset

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-12T03:16:19.308813Z

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.

source=pdf_text observed=2026-05-12T03:12:49.428954Z digest=sha256:4add3bd8fffdadb6a204f8e22a3a54ce84083f517cb208dc973f318f24cca313

Observation 1b030445-115e-4c07-8177-c86446f85fdd · inbound

MasFACT: Continual Multi-Agent Topology Learning via Geometry-Aware Posterior Transfer cites this paper.

MasFACT: Continual Multi-Agent Topology Learning via Geometry-Aware Posterior Transfer TACO: Topics in Algorithmic COde generation dataset

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-20T14:38:21.592851Z

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.

source=pdf_text observed=2026-05-20T14:35:46.376752Z digest=sha256:44baa0c13e502d5fa4df18bfb29fdcd3a1a5761f38456965d9d4e26c64675dec

Observation 625ca395-d9ff-4f37-8c20-4ee5c8b92720 · inbound

MasFACT: Continual Multi-Agent Topology Learning via Geometry-Aware Posterior Transfer cites this paper.

MasFACT: Continual Multi-Agent Topology Learning via Geometry-Aware Posterior Transfer TACO: Topics in Algorithmic COde generation dataset

Reference 23

Resolution
unresolved
no resolver link, observed 2026-07-12T16:38:30.296706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T16:38:30.296706Z digest=sha256:f8a0ce3bc5afb5be8350f14ae6e3cd593fba51f36e6f357f365f2f30c1d9add6

Observation bdc91038-174b-42da-984e-62d566340260 · inbound

Extrapolative Weight Averaging Reveals Correctness-Efficiency Frontiers in Code RL cites this paper.

Extrapolative Weight Averaging Reveals Correctness-Efficiency Frontiers in Code RL TACO: Topics in Algorithmic COde generation dataset

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-06-29T14:43:30.591256Z

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.

source=arxiv_source observed=2026-06-29T14:41:13.191919Z digest=sha256:8690cda17380369eeceae195e04cf44b383c837094f9f6a3a8d34e341cdb6c84

Observation 438940b3-4aa2-41a3-ab86-b6ace1742493 · inbound

Combinatorial Synthesis: Scaling Code RLVR via Atomic Decomposition and Recombination cites this paper.

Combinatorial Synthesis: Scaling Code RLVR via Atomic Decomposition and Recombination TACO: Topics in Algorithmic COde generation dataset

Reference 31

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verified exact
arxiv_id, observed 2026-06-28T23:12:47.131620Z

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.

source=pdf_text observed=2026-06-28T23:08:05.597810Z digest=sha256:5264c64401678a4b87e0e37d6998f634bea432fdb1d88ced8ffc0c2a2561ab03

Observation ee40935d-73f8-48f0-948c-7a894b0c9c72 · inbound

OmniOPD: Logit-Free On-Policy Distillation via Speculative Verification cites this paper.

OmniOPD: Logit-Free On-Policy Distillation via Speculative Verification TACO: Topics in Algorithmic COde generation dataset

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-06-28T17:12:24.991928Z

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.

source=pdf_text observed=2026-06-28T17:07:13.155582Z digest=sha256:825b4163d87b91fff6f37becb21e472a674d7bef47f340ca48d94d1572aafb75

Observation f6d1447c-6761-4a27-8216-37b9b8595390 · inbound

EvoTrainer: Co-Evolving LLM Policies and Training Harnesses for Autonomous Agentic Reinforcement Learning cites this paper.

EvoTrainer: Co-Evolving LLM Policies and Training Harnesses for Autonomous Agentic Reinforcement Learning TACO: Topics in Algorithmic COde generation dataset

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-07-02T02:56:29.160398Z

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.

source=arxiv_source observed=2026-06-28T10:30:42.057301Z digest=sha256:20e28b019ae0f065553a5f0a6d2b3a221418655709bcf2fd99299738c92493e1

Observation 1b1f0502-1b85-49a0-99ca-3490352401a4 · inbound

Data-Efficient Autoregressive-to-Diffusion Language Models via On-Policy Distillation cites this paper.

Data-Efficient Autoregressive-to-Diffusion Language Models via On-Policy Distillation TACO: Topics in Algorithmic COde generation dataset

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-07-02T13:26:58.841262Z

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.

source=pdf_text observed=2026-06-28T01:21:52.821813Z digest=sha256:150866b8130478f0aeb6fa6ec714445096d771eb1c3d44eca7f9fd9ad98a98aa

Observation c6a2bcd7-0e8d-4e31-8282-1c130fd89f45 · inbound

Attention Amnesia in Hybrid LLMs: When CoT Fine-Tuning Breaks Long-Range Recall, and How to Fix It cites this paper.

Attention Amnesia in Hybrid LLMs: When CoT Fine-Tuning Breaks Long-Range Recall, and How to Fix It TACO: Topics in Algorithmic COde generation dataset

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-06-27T13:10:55.916131Z

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.

source=arxiv_source observed=2026-06-27T13:08:57.218711Z digest=sha256:b3897778166b54c08a4d60f2d886cc925d5396cba643c372688fd2e61295396a

Observation 471ad097-e5c2-4228-bcab-e2c834dea4b5 · inbound

Beyond Problem Solving: UOJ-Bench for Evaluating Code Generation, Hacking, and Repair in Competitive Programming cites this paper.

Beyond Problem Solving: UOJ-Bench for Evaluating Code Generation, Hacking, and Repair in Competitive Programming TACO: Topics in Algorithmic COde generation dataset

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T14:48:33.592487Z

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.

source=pdf_text observed=2026-06-27T06:52:30.614374Z digest=sha256:871f9a549284e0a9b86268f60390a65bfd874da1d8ecc940ea342eb303095cff

Observation 08543c85-da82-4d01-bfbe-507a8c01bf9d · inbound

From Trainee to Trainer: LLM-Designed Training Environment for RL with Multi-Agent Reasoning cites this paper.

From Trainee to Trainer: LLM-Designed Training Environment for RL with Multi-Agent Reasoning TACO: Topics in Algorithmic COde generation dataset

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-06-27T01:00:19.847045Z

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.

source=arxiv_source observed=2026-06-27T00:59:50.038405Z digest=sha256:c39f577fc0ad4f859983134668f00d53f20d9622661bcb2c399c488b714b6eba

Observation 32103b58-7966-45ac-bebc-bcedddbb004b · inbound

Repository-Level Solidity Code Generation with Large Language Models: From Prompting to Fine-Tuning cites this paper.

Repository-Level Solidity Code Generation with Large Language Models: From Prompting to Fine-Tuning TACO: Topics in Algorithmic COde generation dataset

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-06-26T16:49:35.654364Z

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.

source=pdf_text observed=2026-06-26T16:48:12.177090Z digest=sha256:c40835978835b6a35ab16ede40c023ea4fa30939338a463c03c3eed6f6e70837

Observation fb168ff9-b66c-4984-bd7a-905e0fa6641d · inbound

Don't Let Gains FADE: Breaking Down Policy Gradient Weights in RL cites this paper.

Don't Let Gains FADE: Breaking Down Policy Gradient Weights in RL TACO: Topics in Algorithmic COde generation dataset

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-07-03T21:08:57.753236Z

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.

source=arxiv_source observed=2026-07-03T20:59:57.539909Z digest=sha256:5e205d9f9c498efc537842f50b3a0a547d6f320ce82c4ee68a574fb0fce77548

Observation 066068b6-fd0f-4691-851b-694882d02dd7 · inbound

DecompRL: Solving Harder Problems by Learning Modular Code Generation cites this paper.

DecompRL: Solving Harder Problems by Learning Modular Code Generation TACO: Topics in Algorithmic COde generation dataset

Reference 35

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verified exact
arxiv_id, observed 2026-07-03T16:38:39.770890Z

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.

source=arxiv_source observed=2026-07-03T16:30:34.793328Z digest=sha256:d15a03f54261b0ef0f477ef388da76f329a7b521490c1f45065b60ad61f71af9

Observation 6bbd511b-61a8-4ac0-8f0f-c77f4fd6d078 · inbound

Loop the Loopies! cites this paper.

Loop the Loopies! TACO: Topics in Algorithmic COde generation dataset

Reference 79

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unresolved
no resolver link, observed 2026-08-01T21:34:28.042346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T21:34:28.042346Z digest=sha256:0f5c4a75708bc1030160831a39427250e04f8ec330b35f010fffc098f1813a6c

Observation db859b4c-9814-47b1-8e4c-bf3905db83b4 · inbound

SynH-Rank: Quality-Aware Code Search via Diverse Data Synthesis and Hierarchical Ranking Training cites this paper.

SynH-Rank: Quality-Aware Code Search via Diverse Data Synthesis and Hierarchical Ranking Training TACO: Topics in Algorithmic COde generation dataset

Reference 19

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unresolved
no resolver link, observed 2026-08-01T18:57:42.732227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T18:57:42.732227Z digest=sha256:07c3cd14535fd1b9a0da36e39ccec33e4d027c750f3726d5990f2408ae59564d

Observation 001f4eab-d226-484b-ad29-5890842d4e77 · inbound

CodeRescue: Budget-Calibrated Recovery Routing for Coding Agents cites this paper.

CodeRescue: Budget-Calibrated Recovery Routing for Coding Agents TACO: Topics in Algorithmic COde generation dataset

Reference 2023

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unresolved
no resolver link, observed 2026-08-01T12:47:37.729822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T12:47:37.729822Z digest=sha256:5bbd8356347228bcdd6ffd9cd47e782bcb2978cd492bb6ec58f6561e9bf13268

Observation 6b2bb410-a8d6-4927-bb03-a392866cb7eb · inbound

EvoThink: Evolving Thinking in Large Reasoning Models via Self-Pruning and Aha-Moment Preference Optimization cites this paper.

EvoThink: Evolving Thinking in Large Reasoning Models via Self-Pruning and Aha-Moment Preference Optimization TACO: Topics in Algorithmic COde generation dataset

Reference 10

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unresolved
no resolver link, observed 2026-08-01T11:17:40.237963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T11:17:40.237963Z digest=sha256:3d759026da3db080c1c9542ac1d0ae8284bffabe9c53a5ab046f971420576229

Observation 000030d2-0b33-4d6f-aa88-676fcb5bbf4e · inbound

Teaching LLMs to Self-Evolve: Cultivating Core Meta-Skills with Reinforcement Learning cites this paper.

Teaching LLMs to Self-Evolve: Cultivating Core Meta-Skills with Reinforcement Learning TACO: Topics in Algorithmic COde generation dataset

Reference 10

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unresolved
no resolver link, observed 2026-08-01T06:17:28.636771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T06:17:28.636771Z digest=sha256:054cc530a9c2fae98c92e11df62ad1ccd45c21bb987d2c8f5b1de4a6e30d08cc

Observation ce7a54d4-7973-4358-91b8-0cf20ab783bf · inbound

Cross-Tokenizer On-Policy Distillation via Byte-Prefix Marginalization cites this paper.

Cross-Tokenizer On-Policy Distillation via Byte-Prefix Marginalization TACO: Topics in Algorithmic COde generation dataset

Reference 52

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unresolved
no resolver link, observed 2026-08-01T05:09:58.131045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T05:09:58.131045Z digest=sha256:8f007a8679415beb29f3ad3b5112263caefaad9b1bf4848e9587a1242b826ee0

Observation 2f170256-bcb4-45cb-b0a5-042892823d5f · inbound

How LLM Task-Adaptation Reshapes Alignment: A Multi-dimensional Study of Behavioral and Representational Drift cites this paper.

How LLM Task-Adaptation Reshapes Alignment: A Multi-dimensional Study of Behavioral and Representational Drift TACO: Topics in Algorithmic COde generation dataset

Reference 2022

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unresolved
no resolver link, observed 2026-08-02T07:44:09.658983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:44:09.658983Z digest=sha256:2b1918721eeb849a6231823cf4b09aa8ebe7898b9568729426b80276bf634e63

Observation 9f574be9-edea-40d3-847e-17cf1cfa7cc3 · inbound

Coding Agents as Test-Suite Auditors: Finding What Official Suites Miss While Approaching What They Catch cites this paper.

Coding Agents as Test-Suite Auditors: Finding What Official Suites Miss While Approaching What They Catch TACO: Topics in Algorithmic COde generation dataset

Reference 13

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unresolved
no resolver link, observed 2026-08-04T22:23:16.315763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:23:16.315763Z digest=sha256:ed130102c7c764165a0a884ac7fc39eb638c968e516a18b761bdba12d4f0360b

Observation 3595bc65-17cf-40a4-bebb-3ab8cee90089 · inbound

PAIR: Pairwise-Aware Inclusion Reweighting for Adaptive Rollout Allocation in RLVR cites this paper.

PAIR: Pairwise-Aware Inclusion Reweighting for Adaptive Rollout Allocation in RLVR TACO: Topics in Algorithmic COde generation dataset

Reference 40

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unresolved
no resolver link, observed 2026-08-15T14:22:55.724302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:22:55.724302Z digest=sha256:b590e1e9fc847506c59e9adddc52bc95555c298c35bc3f0874eea48e72bba0dc