Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-11T11:50:26.030339Z
Paper Citation Record · LEDGER
Likelihood scoring for continuations of mathematical text: a self-supervised benchmark with tests for shortcut vulnerabilities
As of 6 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2605.10810.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
50 of 50 outbound references displayed
- verified exact37
- verified fuzzy6
- unresolved2
- parse uncertain0
- malformed identifier1
- metadata mismatch4
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 61a5cee9-16e9-43e0-bac9-47ee9a802aa8 · outbound
This paper cites Tülu 3: Pushing Frontiers in Open Language Model Post-Training.
Likelihood scoring for continuations of mathematical text: a self-supervised benchmark with tests for shortcut vulnerabilities Tülu 3: Pushing Frontiers in Open Language Model Post-Training
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T17:22:42.172403Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ecdb4662-0742-48f9-925d-de1e0267996e · outbound
This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.
Likelihood scoring for continuations of mathematical text: a self-supervised benchmark with tests for shortcut vulnerabilities DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T17:22:41.954792Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation d840f19f-a558-438d-bdcc-3e49d58a35f0 · outbound
This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.
Likelihood scoring for continuations of mathematical text: a self-supervised benchmark with tests for shortcut vulnerabilities DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T17:22:41.936034Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 3ead951c-6459-4ee8-a072-3b0502df03ae · outbound
This paper cites LiveBench: A Challenging, Contamination-Limited LLM Benchmark.
Likelihood scoring for continuations of mathematical text: a self-supervised benchmark with tests for shortcut vulnerabilities LiveBench: A Challenging, Contamination-Limited LLM Benchmark
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T17:22:42.004197Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation d5124c3e-c4ec-4b63-bc29-25be03d5747a · outbound
This paper cites AntiLeakBench: Preventing Data Contamination by Automatically Con- structing Benchmarks with Updated Real-World Knowledge.
Likelihood scoring for continuations of mathematical text: a self-supervised benchmark with tests for shortcut vulnerabilities AntiLeakBench: Preventing Data Contamination by Automatically Con- structing Benchmarks with Updated Real-World Knowledge
Reference 5
- Resolution
- verified exact
- doi, observed 2026-05-19T17:22:41.656914Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation efed21f2-50f5-4909-9a85-fe123c82a212 · outbound
This paper cites Louis, G.
Reference 6
- Resolution
- malformed identifier
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation cf2b9bf9-1871-443b-93d0-c6a495e08fc7 · outbound
This paper cites Scaling Laws for Reward Model Overoptimization.
Likelihood scoring for continuations of mathematical text: a self-supervised benchmark with tests for shortcut vulnerabilities Scaling Laws for Reward Model Overoptimization
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T17:22:41.958533Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 8e0d6ab5-b1f0-4275-b9e3-bc374b552458 · outbound
This paper cites LLMs Gaming Verifiers: RLVR can Lead to Reward Hacking.
Likelihood scoring for continuations of mathematical text: a self-supervised benchmark with tests for shortcut vulnerabilities LLMs Gaming Verifiers: RLVR can Lead to Reward Hacking
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T17:22:41.950802Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation b0608133-b245-4ab7-b1bb-08a425e706b2 · outbound
This paper cites Learning to Reason for Long-Form Story Generation.
Likelihood scoring for continuations of mathematical text: a self-supervised benchmark with tests for shortcut vulnerabilities Learning to Reason for Long-Form Story Generation
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T17:22:42.175048Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 3c6377b9-8581-42b0-8f6a-2e27cdac3496 · outbound
This paper cites BOW: Training Language Models to Reason Over Plausible Next Words.
Likelihood scoring for continuations of mathematical text: a self-supervised benchmark with tests for shortcut vulnerabilities BOW: Training Language Models to Reason Over Plausible Next Words
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-08-05T02:57:26.390855Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 58624433-75e6-4cca-b616-e9c57a00ed2f · outbound
This paper cites Goodman.Learning to Simulate Human Dialogue.
Likelihood scoring for continuations of mathematical text: a self-supervised benchmark with tests for shortcut vulnerabilities Goodman.Learning to Simulate Human Dialogue
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T17:22:42.170264Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation cc87e6fa-65c6-4ae4-917b-ff593ee951e2 · outbound
This paper cites Learning to simulate human dialogue.
Likelihood scoring for continuations of mathematical text: a self-supervised benchmark with tests for shortcut vulnerabilities Learning to simulate human dialogue
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T17:22:41.974017Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation faf3e3ba-c466-40e4-940d-44333b642945 · outbound
This paper cites Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking.
Likelihood scoring for continuations of mathematical text: a self-supervised benchmark with tests for shortcut vulnerabilities Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking
Reference 13
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T17:22:41.967822Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 461999dc-ad6a-4e77-a4ae-6c712e72e1bb · outbound
This paper cites Reinforcement Pre-Training.
Likelihood scoring for continuations of mathematical text: a self-supervised benchmark with tests for shortcut vulnerabilities Reinforcement Pre-Training
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T17:22:41.994710Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 14f06e40-d62f-4722-9953-a81ef7d994ad · outbound
This paper cites Reinforcement learning on pre-training data.arXiv preprint arXiv:2509.19249.
Likelihood scoring for continuations of mathematical text: a self-supervised benchmark with tests for shortcut vulnerabilities Reinforcement learning on pre-training data.arXiv preprint arXiv:2509.19249
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T17:22:41.980815Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 52d0e59a-c204-41fb-87cb-89abf8f4502d · outbound
This paper cites RLP: Reinforcement as a Pretraining Objective.
Likelihood scoring for continuations of mathematical text: a self-supervised benchmark with tests for shortcut vulnerabilities RLP: Reinforcement as a Pretraining Objective
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T17:22:41.947707Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 4b577c64-f3c9-487b-a38f-4266168dba15 · outbound
This paper cites Benchmarking LLMs' Judgments with No Gold Standard.
Likelihood scoring for continuations of mathematical text: a self-supervised benchmark with tests for shortcut vulnerabilities Benchmarking LLMs' Judgments with No Gold Standard
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T17:22:41.932179Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ed3cf325-6311-46df-86db-1fe326369ea3 · outbound
This paper cites Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena.
Likelihood scoring for continuations of mathematical text: a self-supervised benchmark with tests for shortcut vulnerabilities Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T17:22:41.907325Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a2461b85-a270-4cc7-8fe6-478af047a7a1 · outbound
This paper cites LLMs as Narcissistic Evaluators: When Ego Inflates Evaluation Scores.
Likelihood scoring for continuations of mathematical text: a self-supervised benchmark with tests for shortcut vulnerabilities LLMs as Narcissistic Evaluators: When Ego Inflates Evaluation Scores
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T17:22:41.940048Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c8c56dd2-ae08-41c1-a880-a984a517a4e2 · outbound
This paper cites LLM Evaluators Recognize and Favor Their Own Generations.
Likelihood scoring for continuations of mathematical text: a self-supervised benchmark with tests for shortcut vulnerabilities LLM Evaluators Recognize and Favor Their Own Generations
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T18:44:28.909456Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 8d4139fe-d65f-4338-a535-7e6fd2ff8b87 · outbound
This paper cites One Token to Fool LLM-as-a-Judge.
Likelihood scoring for continuations of mathematical text: a self-supervised benchmark with tests for shortcut vulnerabilities One Token to Fool LLM-as-a-Judge
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-06-12T02:08:19.458599Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation e606b530-0887-4636-bc31-b5cbd5bd3382 · outbound
This paper cites Qwen3 Technical Report.
Likelihood scoring for continuations of mathematical text: a self-supervised benchmark with tests for shortcut vulnerabilities Qwen3 Technical Report
Reference 22
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T17:22:41.920948Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation fa42aa84-eff7-4c62-9ce6-2c2702b6391c · outbound
This paper cites an unresolved cited work.
Likelihood scoring for continuations of mathematical text: a self-supervised benchmark with tests for shortcut vulnerabilities Unresolved cited work
Reference 23
- Resolution
- unresolved
- raw_fallback, observed 2026-05-19T17:22:42.167950Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation b02aba94-8097-4662-8b40-85ac683a0cee · outbound
This paper cites Kimi K2: Open Agentic Intelligence.
Likelihood scoring for continuations of mathematical text: a self-supervised benchmark with tests for shortcut vulnerabilities Kimi K2: Open Agentic Intelligence
Reference 24
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T17:22:41.914260Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 1e19df9f-2a4b-4d80-b51f-ee26f6c7c996 · outbound
This paper cites https://deploymentsafety.openai.com/gpt-5-5/gpt-5- 5.pdf.
Likelihood scoring for continuations of mathematical text: a self-supervised benchmark with tests for shortcut vulnerabilities https://deploymentsafety.openai.com/gpt-5-5/gpt-5- 5.pdf
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T17:22:42.164288Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 610333d7-3b26-44d5-a96c-a44f2ea0b0c5 · outbound
This paper cites https://anthropic.com/claude- opus- 4- 7- system-card.
Likelihood scoring for continuations of mathematical text: a self-supervised benchmark with tests for shortcut vulnerabilities https://anthropic.com/claude- opus- 4- 7- system-card
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T17:22:42.161863Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 6d19877f-fbb5-4d58-a92f-ba3ed10dc329 · outbound
This paper cites an unresolved cited work.
Likelihood scoring for continuations of mathematical text: a self-supervised benchmark with tests for shortcut vulnerabilities Unresolved cited work
Reference 27
- Resolution
- unresolved
- raw_fallback, observed 2026-05-19T17:22:42.166164Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 44500651-9eda-4dcb-9ed6-403dcb4beb60 · outbound
This paper cites Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters.
Likelihood scoring for continuations of mathematical text: a self-supervised benchmark with tests for shortcut vulnerabilities Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters
Reference 28
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T17:22:41.928675Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 965dae13-ce52-4aa5-8420-e16417529331 · outbound
This paper cites Wichmann.
Reference 29
- Resolution
- metadata mismatch
- doi, observed 2026-05-19T17:22:41.683792Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ab477633-0f8b-42a5-bf17-d76af8ba216b · outbound
This paper cites LoRA: Low-Rank Adaptation of Large Language Models.
Likelihood scoring for continuations of mathematical text: a self-supervised benchmark with tests for shortcut vulnerabilities LoRA: Low-Rank Adaptation of Large Language Models
Reference 30
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T17:22:41.991528Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 663c3c43-ec16-4717-b034-328e589a3bb1 · outbound
This paper cites The LAMBADA dataset: Word prediction requiring a broad discourse context.
Likelihood scoring for continuations of mathematical text: a self-supervised benchmark with tests for shortcut vulnerabilities The LAMBADA dataset: Word prediction requiring a broad discourse context
Reference 31
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T17:22:41.688057Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 8936e89d-57d2-40b9-b95e-fb3cfb7b122f · outbound
This paper cites HellaSwag: Can a Machine Really Finish Your Sentence?.
Likelihood scoring for continuations of mathematical text: a self-supervised benchmark with tests for shortcut vulnerabilities HellaSwag: Can a Machine Really Finish Your Sentence?
Reference 32
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-19T17:22:41.680582Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 387ffd55-39a0-462d-9f19-0f6b0f8e56ed · outbound
This paper cites Eliciting Expertise without Verification.
Likelihood scoring for continuations of mathematical text: a self-supervised benchmark with tests for shortcut vulnerabilities Eliciting Expertise without Verification
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T17:22:41.660724Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation db21fb2e-80e3-4708-94cd-29ed59ea279b · outbound
This paper cites Eliciting Informative Text Evaluations with Large Language Models.
Likelihood scoring for continuations of mathematical text: a self-supervised benchmark with tests for shortcut vulnerabilities Eliciting Informative Text Evaluations with Large Language Models
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T17:22:41.654523Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 10970b81-9a0b-4435-a71a-ef1def50328c · outbound
This paper cites From raw corpora to domain benchmarks: Automated evaluation of LLM domain expertise.
Likelihood scoring for continuations of mathematical text: a self-supervised benchmark with tests for shortcut vulnerabilities From raw corpora to domain benchmarks: Automated evaluation of LLM domain expertise
Reference 35
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T17:22:41.918111Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 4f3fdcbb-411b-4dd3-b2fa-138136a6315d · outbound
This paper cites Beyond Verifiable Rewards: Scaling Reinforcement Learning for Language Models to Unverifiable Data.
Likelihood scoring for continuations of mathematical text: a self-supervised benchmark with tests for shortcut vulnerabilities Beyond Verifiable Rewards: Scaling Reinforcement Learning for Language Models to Unverifiable Data
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T17:22:41.904395Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c380f5f3-a7fd-4121-a9d9-989a848e34bc · outbound
This paper cites Training Chain-of-Thought via Latent-Variable Inference.
Likelihood scoring for continuations of mathematical text: a self-supervised benchmark with tests for shortcut vulnerabilities Training Chain-of-Thought via Latent-Variable Inference
Reference 37
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T17:22:42.011138Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation da76e2c7-a966-4617-992f-297c9dbfd6de · outbound
This paper cites Amortizing intractable inference in large language models.
Likelihood scoring for continuations of mathematical text: a self-supervised benchmark with tests for shortcut vulnerabilities Amortizing intractable inference in large language models
Reference 38
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-19T17:22:41.987390Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 90816fac-5eb9-4ded-8ebd-bd67a07304c1 · outbound
This paper cites NOVER: Incentive Training for Language Models via Verifier-Free Rein- forcement Learning.
Likelihood scoring for continuations of mathematical text: a self-supervised benchmark with tests for shortcut vulnerabilities NOVER: Incentive Training for Language Models via Verifier-Free Rein- forcement Learning
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T17:22:42.159617Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 3984fa88-075b-41d5-be28-a20913e35529 · outbound
This paper cites Direct Reasoning Optimization: Token-Level Reasoning Reflectivity Meets Rubric Gates for Unverifiable Tasks.
Likelihood scoring for continuations of mathematical text: a self-supervised benchmark with tests for shortcut vulnerabilities Direct Reasoning Optimization: Token-Level Reasoning Reflectivity Meets Rubric Gates for Unverifiable Tasks
Reference 40
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T17:22:41.983841Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 8727f605-db0e-467b-8e17-1e63a94ffd2b · outbound
This paper cites Reinforcing General Reasoning without Verifiers.
Likelihood scoring for continuations of mathematical text: a self-supervised benchmark with tests for shortcut vulnerabilities Reinforcing General Reasoning without Verifiers
Reference 41
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T17:22:41.894869Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 72cb19f3-c96d-4734-b47f-68a9b6dacd23 · outbound
This paper cites RLPR: Extrapolating RLVR to General Domains without Verifiers.
Likelihood scoring for continuations of mathematical text: a self-supervised benchmark with tests for shortcut vulnerabilities RLPR: Extrapolating RLVR to General Domains without Verifiers
Reference 42
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T17:22:41.998128Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation aa6dc1e9-1f3f-4ec2-8fcc-0db2082d1529 · outbound
This paper cites Likelihood- based reward designs for general llm reasoning.
Likelihood scoring for continuations of mathematical text: a self-supervised benchmark with tests for shortcut vulnerabilities Likelihood- based reward designs for general llm reasoning
Reference 43
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T17:22:42.014458Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 9f47c5dd-87c3-4803-a923-2bb0cd99653c · outbound
This paper cites Let's Verify Step by Step.
Likelihood scoring for continuations of mathematical text: a self-supervised benchmark with tests for shortcut vulnerabilities Let's Verify Step by Step
Reference 44
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T17:22:41.970558Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 935fe3b7-6a3a-4a89-a513-58cd0581c024 · outbound
This paper cites Generative Verifiers: Reward Modeling as Next-Token Prediction.
Likelihood scoring for continuations of mathematical text: a self-supervised benchmark with tests for shortcut vulnerabilities Generative Verifiers: Reward Modeling as Next-Token Prediction
Reference 45
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T17:22:41.977768Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 6cbfbf02-1ba1-421c-8ad5-e79267653787 · outbound
This paper cites Prover-Verifier Games improve legibility of LLM outputs.
Likelihood scoring for continuations of mathematical text: a self-supervised benchmark with tests for shortcut vulnerabilities Prover-Verifier Games improve legibility of LLM outputs
Reference 46
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T17:22:41.910605Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 6970f9e5-0ad5-4862-aae5-490007e2211c · outbound
This paper cites Variation in Verification: Understanding Verification Dynamics in Large Language Models.
Likelihood scoring for continuations of mathematical text: a self-supervised benchmark with tests for shortcut vulnerabilities Variation in Verification: Understanding Verification Dynamics in Large Language Models
Reference 47
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T17:22:41.963957Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 437854ed-ec01-456b-a1ee-d7a6194df3c7 · outbound
This paper cites Reward under attack: Analyzing the robustness and hackability of process reward models.
Likelihood scoring for continuations of mathematical text: a self-supervised benchmark with tests for shortcut vulnerabilities Reward under attack: Analyzing the robustness and hackability of process reward models
Reference 48
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T17:22:41.897933Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c85fdfea-fd70-4bc8-876d-ca122f1d053c · outbound
This paper cites Scaling Laws for Reward Model Overoptimization in Direct Alignment Algorithms.
Likelihood scoring for continuations of mathematical text: a self-supervised benchmark with tests for shortcut vulnerabilities Scaling Laws for Reward Model Overoptimization in Direct Alignment Algorithms
Reference 49
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-19T17:22:41.901099Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 5ab4af3b-05cb-4a8c-8778-5f03d9347430 · outbound
This paper cites Inference-time reward hacking in large language models.arXiv preprint arXiv:2506.19248.
Likelihood scoring for continuations of mathematical text: a self-supervised benchmark with tests for shortcut vulnerabilities Inference-time reward hacking in large language models.arXiv preprint arXiv:2506.19248
Reference 50
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T17:22:41.924264Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Pith citing papers
No inbound Pith citation observations are available.