Paper Citation Record · LEDGER

Tiny Reward Models

As of 19 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2507.09973.

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

pith.paper-citation-record.v1
2507.09973 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:48:07.210826Z

measured 49 of 49 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

49 of 49 outbound references displayed

verified exact4
verified fuzzy2
unresolved43
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

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Outbound references

Observation bb79d5da-4c7a-40e6-b4d7-0ed61c769ad0 · outbound

This paper cites write newline.

Tiny Reward Models write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T17:48:07.089065Z

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Observation 5a83696c-c906-427c-90cf-c33df3bad179 · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

Tiny Reward Models Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T17:48:07.092692Z

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Observation 9fc9e5de-1c04-4e9a-8616-6d0672d9b7d1 · outbound

This paper cites PPL-MCTS: Constrained Textual Generation Through Discriminator-Guided MCTS Decoding.

Tiny Reward Models PPL-MCTS: Constrained Textual Generation Through Discriminator-Guided MCTS Decoding

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-08-06T17:48:07.695107Z

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

Observation 86b77f26-9ca0-4d57-8d65-8bcf86e0ee1e · outbound

This paper cites Rm-r1: Reward modeling as reasoning, 2025.

Tiny Reward Models Rm-r1: Reward modeling as reasoning, 2025

Reference 4

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Observation 8b4b6dfb-eff9-41c9-a1a2-99a9b1cd50b8 · outbound

This paper cites B., Martic, M., Legg, S., and Amodei, D.

Tiny Reward Models B., Martic, M., Legg, S., and Amodei, D

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:48:07.718376Z

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Observation 5027851b-45cc-41f4-9282-970a71d218c4 · outbound

This paper cites Scaling Instruction-Finetuned Language Models.

Tiny Reward Models Scaling Instruction-Finetuned Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T17:48:07.103616Z

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Observation f86633c8-6b4d-4265-b4bc-f7dbf11bcbe6 · outbound

This paper cites It's All in The [MASK]: Simple Instruction-Tuning Enables BERT-like Masked Language Models As Generative Classifiers.

Tiny Reward Models It's All in The [MASK]: Simple Instruction-Tuning Enables BERT-like Masked Language Models As Generative Classifiers

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-06T17:48:07.607922Z

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Observation c0138e18-c753-41df-a667-1b813b9a507e · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Tiny Reward Models BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 8

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Observation 7ffd1b75-1817-4897-87f9-9b0a4fe3efaa · outbound

This paper cites TinyStories: How Small Can Language Models Be and Still Speak Coherent English?.

Tiny Reward Models TinyStories: How Small Can Language Models Be and Still Speak Coherent English?

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T17:48:07.111658Z

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Observation f98dd840-a992-4e95-b9f3-932fd9983cac · outbound

This paper cites L., and Vigliocco, G.

Tiny Reward Models L., and Vigliocco, G

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:48:07.710863Z

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

Observation 17de84cb-7b24-49a6-ae43-762183081e98 · outbound

This paper cites Scaling Laws for Reward Model Overoptimization.

Tiny Reward Models Scaling Laws for Reward Model Overoptimization

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T17:48:07.117097Z

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Observation 07f91a81-d6f9-4dca-9acd-b5e61a593cd5 · outbound

This paper cites Making pre-trained language models better few-shot learners.

Tiny Reward Models Making pre-trained language models better few-shot learners

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T17:48:07.119680Z

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Observation 02458464-c5a9-4475-8514-9a64609c1b63 · outbound

This paper cites Towards Data-Efficient Language Models: A Child-Inspired Approach to Language Learning.

Tiny Reward Models Towards Data-Efficient Language Models: A Child-Inspired Approach to Language Learning

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-06T17:48:07.575213Z

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

Observation 80c8c4af-44f5-4f4f-8a0c-f6eb2c026317 · outbound

This paper cites The Llama 3 Herd of Models.

Tiny Reward Models The Llama 3 Herd of Models

Reference 14

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Observation c11d3822-6db0-494b-a4f7-02e261dfed68 · outbound

This paper cites Textbooks Are All You Need.

Tiny Reward Models Textbooks Are All You Need

Reference 15

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Observation a15d9dde-7f19-4637-a4f5-ecb0c0c58b8e · outbound

This paper cites Does RLHF Scale? Exploring the Impacts From Data, Model, and Method.

Tiny Reward Models Does RLHF Scale? Exploring the Impacts From Data, Model, and Method

Reference 16

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Observation 841364ec-0573-4c03-a26a-f6ec90b140b8 · outbound

This paper cites Universal Language Model Fine-tuning for Text Classification.

Tiny Reward Models Universal Language Model Fine-tuning for Text Classification

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T17:48:07.131920Z

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Observation db601eee-593a-4c61-a1d8-3d38dfbc423c · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Tiny Reward Models LoRA: Low-Rank Adaptation of Large Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T17:48:07.134619Z

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Observation 42fe3188-5383-423d-b63f-299496c0b3a7 · outbound

This paper cites PKU-SafeRLHF: Towards Multi-Level Safety Alignment for LLMs with Human Preference.

Tiny Reward Models PKU-SafeRLHF: Towards Multi-Level Safety Alignment for LLMs with Human Preference

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T17:48:07.137146Z

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Observation 53dde41c-fc6c-4f35-97a7-5e515f38a3fa · outbound

This paper cites OpenAssistant Conversations -- Democratizing Large Language Model Alignment.

Tiny Reward Models OpenAssistant Conversations -- Democratizing Large Language Model Alignment

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T17:48:07.139475Z

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Observation 459455e7-a116-4b41-a7fc-2cb1cfac5cc5 · outbound

This paper cites RewardBench: Evaluating Reward Models for Language Modeling.

Tiny Reward Models RewardBench: Evaluating Reward Models for Language Modeling

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T17:48:07.141889Z

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Observation 8156c2eb-62bd-4796-9ebe-ca1460e7ab41 · outbound

This paper cites What Would Elsa Do? Freezing Layers During Transformer Fine-Tuning.

Tiny Reward Models What Would Elsa Do? Freezing Layers During Transformer Fine-Tuning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T17:48:07.144511Z

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Observation 8e9201f9-ecad-4092-8e74-1c7c14d616c4 · outbound

This paper cites BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension.

Tiny Reward Models BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T17:48:07.146902Z

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Observation 5a54112a-3525-44c0-9a96-08ef27a9f9dc · outbound

This paper cites Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.

Tiny Reward Models Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T17:48:07.149469Z

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Observation 34cc45f9-ca75-409f-9df3-578986314c80 · outbound

This paper cites Let's Verify Step by Step.

Tiny Reward Models Let's Verify Step by Step

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T17:48:07.152003Z

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Observation e99e856f-6e33-4b1c-817e-67625d4bcaca · outbound

This paper cites Skywork-Reward: Bag of Tricks for Reward Modeling in LLMs.

Tiny Reward Models Skywork-Reward: Bag of Tricks for Reward Modeling in LLMs

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T17:48:07.154579Z

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Observation 8c8ae2a7-6cf2-4a81-9f5d-2416827e6c61 · outbound

This paper cites DoRA: Weight-Decomposed Low-Rank Adaptation.

Tiny Reward Models DoRA: Weight-Decomposed Low-Rank Adaptation

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T17:48:07.157051Z

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Observation e8578aff-60bd-4b87-a2f6-fbdf9c4f6b1c · outbound

This paper cites Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models.

Tiny Reward Models Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T17:48:07.159727Z

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Observation 7cb9e172-efc3-4fa9-932a-ea5822a66474 · outbound

This paper cites Improve Mathematical Reasoning in Language Models by Automated Process Supervision.

Tiny Reward Models Improve Mathematical Reasoning in Language Models by Automated Process Supervision

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T17:48:07.162023Z

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Observation f02cbb16-bc9d-4043-8623-29554abc7501 · outbound

This paper cites WebGPT: Browser-assisted question-answering with human feedback.

Tiny Reward Models WebGPT: Browser-assisted question-answering with human feedback

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T17:48:07.164185Z

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Observation 3279575f-3339-45b6-9782-4f22b9fa39ce · outbound

This paper cites Passage Re-ranking with BERT.

Tiny Reward Models Passage Re-ranking with BERT

Reference 31

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Observation 57c0428d-05be-40a2-bc31-aae00aa506bc · outbound

This paper cites Nemotron-4 340B Technical Report.

Tiny Reward Models Nemotron-4 340B Technical Report

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T17:48:07.168990Z

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Observation 6a490881-e7e0-4992-9191-c5b2b4fd2089 · outbound

This paper cites Training language models to follow instructions with human feedback.

Tiny Reward Models Training language models to follow instructions with human feedback

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T17:48:07.171387Z

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Observation 7a8c7288-d584-4bb4-95e9-f3b0ba4fb327 · outbound

This paper cites Let's Reinforce Step by Step.

Tiny Reward Models Let's Reinforce Step by Step

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T17:48:07.173925Z

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Observation af90b18e-5bee-4183-85a5-62a94e9b2624 · outbound

This paper cites Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.

Tiny Reward Models Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T17:48:07.176314Z

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Observation c96758dd-57fc-40a8-9c3f-1eaab651fd41 · outbound

This paper cites WARM: On the Benefits of Weight Averaged Reward Models.

Tiny Reward Models WARM: On the Benefits of Weight Averaged Reward Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T17:48:07.178654Z

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Observation e265842c-7e61-40cc-afc5-6409dd85f99f · outbound

This paper cites BERTs are Generative In-Context Learners.

Tiny Reward Models BERTs are Generative In-Context Learners

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T17:48:07.181168Z

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Observation 55c7ffa2-a916-4d5a-9f42-37c62c029a48 · outbound

This paper cites Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference.

Tiny Reward Models Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference

Reference 38

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Observation abb3c454-889b-487e-9e31-95e36072bc82 · outbound

This paper cites It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners.

Tiny Reward Models It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T17:48:07.185809Z

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Observation 2237a1c5-ba21-4367-b8f6-dc294cd7fbbc · outbound

This paper cites The Trickle-down Impact of Reward (In-)consistency on RLHF.

Tiny Reward Models The Trickle-down Impact of Reward (In-)consistency on RLHF

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T17:48:07.188338Z

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Observation 986bf3e7-c475-4689-8ffb-a0a7508a53d1 · outbound

This paper cites Layer by Layer: Uncovering Hidden Representations in Language Models.

Tiny Reward Models Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T17:48:07.190751Z

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Observation 60319909-5b82-4069-bfa0-023280b205c8 · outbound

This paper cites D., and Su, W.

Tiny Reward Models D., and Su, W

Reference 42

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Observation faba13a6-cc57-4e9c-9c9b-8f8b81993a6d · outbound

This paper cites Large GPT-like Models are Bad Babies: A Closer Look at the Relationship between Linguistic Competence and Psycholinguistic Measures.

Tiny Reward Models Large GPT-like Models are Bad Babies: A Closer Look at the Relationship between Linguistic Competence and Psycholinguistic Measures

Reference 43

Resolution: verified exact; local_arxiv, observed 2026-08-06T17:48:07.285710Z

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

Observation d63fe4c4-efae-4003-a284-2e58a6e4d6a0 · outbound

This paper cites How to Fine-Tune BERT for Text Classification?.

Tiny Reward Models How to Fine-Tune BERT for Text Classification?

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T17:48:07.198467Z

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Observation 5be4873b-40e3-45a8-896b-91a648f1633d · outbound

This paper cites HelpSteer2: Open-source dataset for training top-performing reward models.

Tiny Reward Models HelpSteer2: Open-source dataset for training top-performing reward models

Reference 45

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Observation 79311ea0-1930-4be7-87c8-9a9fc00b6d25 · outbound

This paper cites Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference.

Tiny Reward Models Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T17:48:07.203840Z

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Observation de32fa4b-0030-450f-a9c6-4897c78b760c · outbound

This paper cites Finetuned Language Models Are Zero-Shot Learners.

Tiny Reward Models Finetuned Language Models Are Zero-Shot Learners

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-06T17:48:07.206091Z

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Observation a71856fb-f940-4e8f-8098-d0b4794b6b94 · outbound

This paper cites MetaMetrics: Calibrating Metrics For Generation Tasks Using Human Preferences.

Tiny Reward Models MetaMetrics: Calibrating Metrics For Generation Tasks Using Human Preferences

Reference 48

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Observation b5ece352-57bb-4918-bb9e-91cd6961c748 · outbound

This paper cites How transferable are features in deep neural networks?.

Tiny Reward Models How transferable are features in deep neural networks?

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-06T17:48:07.210826Z

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Pith citing papers

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