Paper Citation Record · LEDGER

Defining and Characterizing Reward Hacking

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 49 inbound Pith citation observations for arXiv:2209.13085.

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

pith.paper-citation-record.v1
2209.13085 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 49 of 49 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:21:26.846278Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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External citation measurements

18
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation aa536ffd-66f9-4070-9524-9b6dd090c5e4 · inbound

Scaling Laws for Reward Model Overoptimization cites this paper.

Scaling Laws for Reward Model Overoptimization Defining and Characterizing Reward Hacking

Reference 27

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T09:04:53.379647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5773e748-c95b-40e6-93a4-cf831ff83936 · inbound

Active teacher selection for reward learning cites this paper.

Active teacher selection for reward learning Defining and Characterizing Reward Hacking

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-05-24T05:56:01.756834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 611ae39f-2683-4c20-a934-530fa9aab837 · inbound

Disentangling Preference Representation and Text Generation for Efficient Individual Preference Alignment cites this paper.

Disentangling Preference Representation and Text Generation for Efficient Individual Preference Alignment Defining and Characterizing Reward Hacking

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:26.846278Z

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Unavailable: canonical work link unavailable.

Observation 840a7906-fad3-44d9-ad91-31b0138088e7 · inbound

Refining Alignment Framework for Diffusion Models with Intermediate-Step Preference Ranking cites this paper.

Refining Alignment Framework for Diffusion Models with Intermediate-Step Preference Ranking Defining and Characterizing Reward Hacking

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-09T18:55:14.733622Z

Source-reported events for the cited work

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Observation 340454bf-41ff-4566-acd5-cf0b8992b76b · inbound

PerPO: Perceptual Preference Optimization via Discriminative Rewarding cites this paper.

PerPO: Perceptual Preference Optimization via Discriminative Rewarding Defining and Characterizing Reward Hacking

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-09T06:01:13.375740Z

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Unavailable: canonical work link unavailable.

Observation 03ae14d6-fb94-4686-9f1a-5dde4f332355 · inbound

Shallow Preference Signals: Large Language Model Aligns Even Better with Truncated Data? cites this paper.

Shallow Preference Signals: Large Language Model Aligns Even Better with Truncated Data? Defining and Characterizing Reward Hacking

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T15:15:46.420808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07c83c84-8bf8-4f04-a97d-837fae7723ea · inbound

A Survey on Autonomy-Induced Security Risks in Large Model-Based Agents cites this paper.

A Survey on Autonomy-Induced Security Risks in Large Model-Based Agents Defining and Characterizing Reward Hacking

Reference 129

Resolution: unresolved; no resolver link, observed 2026-08-06T21:34:45.116682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99a48b61-255b-484e-904d-5a0328c85069 · inbound

Residual Reward Models for Preference-based Reinforcement Learning cites this paper.

Residual Reward Models for Preference-based Reinforcement Learning Defining and Characterizing Reward Hacking

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T21:17:35.995519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4da1e97b-90e6-4823-a301-886c258826fa · inbound

Alignment and Safety in Large Language Models: Safety Mechanisms, Training Paradigms, and Emerging Challenges cites this paper.

Alignment and Safety in Large Language Models: Safety Mechanisms, Training Paradigms, and Emerging Challenges Defining and Characterizing Reward Hacking

Reference 207

Resolution: unresolved; no resolver link, observed 2026-08-06T14:13:07.057759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d433f92-f7f2-4d7a-ad5b-1f647bc356da · inbound

Safety Features for a Centralised AGI Project cites this paper.

Safety Features for a Centralised AGI Project Defining and Characterizing Reward Hacking

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T00:23:51.691004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e307ebc-94ba-4061-acc0-74ecd3b48a5a · inbound

School of Reward Hacks: Hacking harmless tasks generalizes to misaligned behavior in LLMs cites this paper.

School of Reward Hacks: Hacking harmless tasks generalizes to misaligned behavior in LLMs Defining and Characterizing Reward Hacking

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-05T16:57:09.545711Z

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Unavailable: canonical work link unavailable.

Observation 757c9522-2a47-4aac-adf5-43d0d48bbf2e · inbound

Failure Modes of Maximum Entropy RLHF cites this paper.

Failure Modes of Maximum Entropy RLHF Defining and Characterizing Reward Hacking

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-18T14:02:39.850063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 73dfea2d-def0-4b49-b3ad-a517d841eae6 · inbound

TaoSR-AGRL: Adaptive Guided Reinforcement Learning Framework for E-commerce Search Relevance cites this paper.

TaoSR-AGRL: Adaptive Guided Reinforcement Learning Framework for E-commerce Search Relevance Defining and Characterizing Reward Hacking

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-04T10:53:09.398856Z

Source-reported events for the cited work

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Observation 571222e9-820a-477a-ac3c-11adea58878b · inbound

Coupled Variational Reinforcement Learning for Language Model General Reasoning cites this paper.

Coupled Variational Reinforcement Learning for Language Model General Reasoning Defining and Characterizing Reward Hacking

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T16:43:56.945344Z

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Observation 49f77dec-b6b2-4d47-8be2-d575d9e0c5d3 · inbound

Combee: Scaling Prompt Learning for Self-Improving Language Model Agents cites this paper.

Combee: Scaling Prompt Learning for Self-Improving Language Model Agents Defining and Characterizing Reward Hacking

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-13T10:33:19.825936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e96c1b9e-3e77-4d2b-8b2a-0447ab893578 · inbound

DUET: Joint Exploration of User Item Profiles in Recommendation System cites this paper.

DUET: Joint Exploration of User Item Profiles in Recommendation System Defining and Characterizing Reward Hacking

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T12:40:23.616293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5e56343a-906c-4e92-b33a-e70abd30ca5d · inbound

LLMs Corrupt Your Documents When You Delegate cites this paper.

LLMs Corrupt Your Documents When You Delegate Defining and Characterizing Reward Hacking

Reference 78

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:48:47.599512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0cc6721b-4000-4f66-b163-5d6aee3ba069 · inbound

A Systematic Survey of Security Threats and Defenses in LLM-Based AI Agents: A Layered Attack Surface Framework cites this paper.

A Systematic Survey of Security Threats and Defenses in LLM-Based AI Agents: A Layered Attack Surface Framework Defining and Characterizing Reward Hacking

Reference 50

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T20:51:09.369103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4a8a8d5b-ad56-412a-a141-0550e525169c · inbound

The Alignment Target Problem: Divergent Moral Judgments of Humans, AI Systems, and Their Designers cites this paper.

The Alignment Target Problem: Divergent Moral Judgments of Humans, AI Systems, and Their Designers Defining and Characterizing Reward Hacking

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:11:17.631038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 634c0313-ca5c-4d71-8873-52e250e02ec7 · inbound

The Alignment Target Problem: Divergent Moral Judgments of Humans, AI Systems, and Their Designers cites this paper.

The Alignment Target Problem: Divergent Moral Judgments of Humans, AI Systems, and Their Designers Defining and Characterizing Reward Hacking

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-13T07:22:28.781994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ffac88c2-d468-4c23-9b97-1b7a830e0669 · inbound

The Alignment Target Problem: Divergent Moral Judgments of Humans, AI Systems, and Their Designers cites this paper.

The Alignment Target Problem: Divergent Moral Judgments of Humans, AI Systems, and Their Designers Defining and Characterizing Reward Hacking

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-07-01T09:25:39.876048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 584c3de6-7b35-4d39-8665-045611652215 · inbound

The Alignment Target Problem: Divergent Moral Judgments of Humans, AI Systems, and Their Designers cites this paper.

The Alignment Target Problem: Divergent Moral Judgments of Humans, AI Systems, and Their Designers Defining and Characterizing Reward Hacking

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-02T15:29:49.171054Z

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Unavailable: canonical work link unavailable.

Observation a759e4eb-cc9c-4a0b-ad50-f494eeffb4b2 · inbound

Risk Reporting for Developers' Internal AI Model Use cites this paper.

Risk Reporting for Developers' Internal AI Model Use Defining and Characterizing Reward Hacking

Reference 43

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T23:16:16.302983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation bfb8015f-5e33-47bc-999f-1209b38f7bdf · inbound

Delay, Plateau, or Collapse: Evaluating the Impact of Systematic Verification Error on RLVR cites this paper.

Delay, Plateau, or Collapse: Evaluating the Impact of Systematic Verification Error on RLVR Defining and Characterizing Reward Hacking

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-10T19:00:45.572142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ad862279-0362-4a2d-aadc-df70b02a5a58 · inbound

EvoNav: Evolutionary Reward Function Design for Robot Navigation with Large Language Models cites this paper.

EvoNav: Evolutionary Reward Function Design for Robot Navigation with Large Language Models Defining and Characterizing Reward Hacking

Reference 38

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T05:27:18.899889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d4512d50-caf6-408d-91fd-53055ffd103e · inbound

Do Androids Dream of Breaking the Game? Systematically Auditing AI Agent Benchmarks with BenchJack cites this paper.

Do Androids Dream of Breaking the Game? Systematically Auditing AI Agent Benchmarks with BenchJack Defining and Characterizing Reward Hacking

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:32:56.842198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1e42082f-4576-4764-aad5-8d54c9cc8168 · inbound

What Training Data Teaches RL Memory Agents: An Empirical Study of Curriculum Effects in Memory-Augmented QA cites this paper.

What Training Data Teaches RL Memory Agents: An Empirical Study of Curriculum Effects in Memory-Augmented QA Defining and Characterizing Reward Hacking

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:30:22.994671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 22c6a36d-4935-4233-aa03-943ec5d1e208 · inbound

Does Capability Transfer to Subjective Behavior -- and Would Our Instruments Tell Us? A Self-Evolving, Trust-by-Construction Evaluation Paradigm cites this paper.

Does Capability Transfer to Subjective Behavior -- and Would Our Instruments Tell Us? A Self-Evolving, Trust-by-Construction Evaluation Paradigm Defining and Characterizing Reward Hacking

Reference 110

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T13:03:26.792263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ea14dfd0-dce7-47d9-b55d-7497ef599ad8 · inbound

Towards Automated Discovery: A Review of Generative Models, Multimodal Learning and Closed-Loop Workflows in Inverse Materials Design cites this paper.

Towards Automated Discovery: A Review of Generative Models, Multimodal Learning and Closed-Loop Workflows in Inverse Materials Design Defining and Characterizing Reward Hacking

Reference 81

Resolution: verified exact; arxiv_id, observed 2026-07-02T00:16:24.564670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4032f613-01af-4600-a489-741470ed78d7 · inbound

Need to Know: Contextual-Integrity-Grounded Query Rewriting for Privacy-Conscious LLM Delegation cites this paper.

Need to Know: Contextual-Integrity-Grounded Query Rewriting for Privacy-Conscious LLM Delegation Defining and Characterizing Reward Hacking

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-07-02T03:46:33.041705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 09bea10a-78fc-46fe-b2c8-d85d818fe735 · inbound

DynaCF: Mitigating Shortcut Learning in Reward Models via Dynamic Counterfactual Sensitivity cites this paper.

DynaCF: Mitigating Shortcut Learning in Reward Models via Dynamic Counterfactual Sensitivity Defining and Characterizing Reward Hacking

Reference 32

Resolution: metadata mismatch; arxiv_id, observed 2026-06-27T17:31:06.952098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 32514426-7f9c-451c-886b-4a473e9a9a65 · inbound

Proxy Reward Internalization and Mechanistic Exploitation: A Learned Precursor to Reward Hacking and Its Generalization cites this paper.

Proxy Reward Internalization and Mechanistic Exploitation: A Learned Precursor to Reward Hacking and Its Generalization Defining and Characterizing Reward Hacking

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-03T01:37:30.471686Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8679eeef-e7f2-41c8-9ced-4411ecc5818d · inbound

Evolving Quantum Error-Correcting Encodings for Molecular Simulation cites this paper.

Evolving Quantum Error-Correcting Encodings for Molecular Simulation Defining and Characterizing Reward Hacking

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-07-04T20:00:08.551040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c22fbc81-18ee-46dc-9ef2-c771530dd192 · inbound

Support-Constrained RL Enables Real-World Policy Improvement without Real-World Experience cites this paper.

Support-Constrained RL Enables Real-World Policy Improvement without Real-World Experience Defining and Characterizing Reward Hacking

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-07-01T18:25:58.794546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7821cac5-bdba-4754-a8e0-52b4daf1b66e · inbound

Pessimism's Paradox: Conservative Offline Training Amplifies Reward Hacking During Online Adaptation in Reasoning Models cites this paper.

Pessimism's Paradox: Conservative Offline Training Amplifies Reward Hacking During Online Adaptation in Reasoning Models Defining and Characterizing Reward Hacking

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T06:54:20.999661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation cf637c26-424e-4c29-9ebe-5b865f1c0917 · inbound

Pre-Strings Lectures on Artificial Intelligence cites this paper.

Pre-Strings Lectures on Artificial Intelligence Defining and Characterizing Reward Hacking

Reference 136

Resolution: unresolved; no resolver link, observed 2026-07-12T06:14:03.658427Z

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Unavailable: canonical work link unavailable.

Observation 7a244639-b617-4414-8300-5f9c1dbf8855 · inbound

Attention Limited Reward Learning cites this paper.

Attention Limited Reward Learning Defining and Characterizing Reward Hacking

Reference 32

Resolution: malformed identifier; no resolver link, observed 2026-07-11T16:47:52.768236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da07dd8e-be58-4b30-a9e1-f4611eaa4a3d · inbound

Multi-Turn On-Policy Distillation with Prefix Replay cites this paper.

Multi-Turn On-Policy Distillation with Prefix Replay Defining and Characterizing Reward Hacking

Reference 221

Resolution: malformed identifier; no resolver link, observed 2026-07-11T13:53:36.775836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0538c0d-2d47-497a-a593-2441ea2cb9b6 · inbound

Multi-Turn On-Policy Distillation with Prefix Replay cites this paper.

Multi-Turn On-Policy Distillation with Prefix Replay Defining and Characterizing Reward Hacking

Reference 222

Resolution: malformed identifier; no resolver link, observed 2026-08-02T08:40:57.669685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41548256-8af7-4baf-b7cb-c15de7e1266b · inbound

Avoiding unsafe sets when training with Langevin Dynamics cites this paper.

Avoiding unsafe sets when training with Langevin Dynamics Defining and Characterizing Reward Hacking

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-07-09T07:56:04.662971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 120dba60-03b8-4c6a-8184-d28a22bf8dd8 · inbound

Avoiding unsafe sets when training with Langevin Dynamics cites this paper.

Avoiding unsafe sets when training with Langevin Dynamics Defining and Characterizing Reward Hacking

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-02T08:08:39.765022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0b46b48-3671-4bf2-905d-ef392da95bb5 · inbound

ScopeJudge: Cost-Aware Pre-Execution Gating for Offensive Security Agents cites this paper.

ScopeJudge: Cost-Aware Pre-Execution Gating for Offensive Security Agents Defining and Characterizing Reward Hacking

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-07-10T18:37:31.185952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation dcc8c37e-1333-47c1-9749-544b090ef3f7 · inbound

ScopeJudge: Cost-Aware Pre-Execution Gating for Offensive Security Agents cites this paper.

ScopeJudge: Cost-Aware Pre-Execution Gating for Offensive Security Agents Defining and Characterizing Reward Hacking

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T00:49:48.269583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c81fb80-f5b3-4e69-b005-b8eed94bb5e3 · inbound

The Verifier is the Curriculum: Execution-Gated Self-Distillation for Cross-Family Game Generation cites this paper.

The Verifier is the Curriculum: Execution-Gated Self-Distillation for Cross-Family Game Generation Defining and Characterizing Reward Hacking

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-14T17:25:37.713857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 417eb3f8-4ef7-4e8b-b103-e4dd9e84ed60 · inbound

When Does Reward Teach State? A Hidden-Automaton Instrument and a Group-Language Warning Signal cites this paper.

When Does Reward Teach State? A Hidden-Automaton Instrument and a Group-Language Warning Signal Defining and Characterizing Reward Hacking

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-02T07:20:42.144350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f950cb56-c969-4987-acb1-fb549a5108ee · inbound

Phantom Guardrails: When Self-Improving Agent Harnesses Fix Failures That Never Happened cites this paper.

Phantom Guardrails: When Self-Improving Agent Harnesses Fix Failures That Never Happened Defining and Characterizing Reward Hacking

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-02T07:01:21.816420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ed24b25-3988-489d-90cd-1d709bb3e75f · inbound

RECEIPT: Deterministic, Reward-Hacking-Resistant Verification for White-Box Agentic XSS Discovery cites this paper.

RECEIPT: Deterministic, Reward-Hacking-Resistant Verification for White-Box Agentic XSS Discovery Defining and Characterizing Reward Hacking

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T15:04:06.730241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81b3cc78-0585-4d7a-b578-47d9d18788a3 · inbound

Deep Reinforcement Learning: From First Principles to Reasoning Models cites this paper.

Deep Reinforcement Learning: From First Principles to Reasoning Models Defining and Characterizing Reward Hacking

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-04T01:16:04.347683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5e3e8d5-7b9a-4294-befa-b763b83cd10f · inbound

Auditing Discovery Claims: A Two-Sided Criterion for Agentic Science, with the Negative Side Decidable cites this paper.

Auditing Discovery Claims: A Two-Sided Criterion for Agentic Science, with the Negative Side Decidable Defining and Characterizing Reward Hacking

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T00:43:17.081550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.