Paper Citation Record · LEDGER

Tina: Tiny Reasoning Models via LoRA

As of 23 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 15 inbound Pith citation observations for arXiv:2504.15777.

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

pith.paper-citation-record.v1
2504.15777 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:23:45.610470Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:44:35.167445Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T14:08:21.920833Z

Reference resolution

24 of 24 outbound references displayed

verified exact0
verified fuzzy1
unresolved23
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 93e319e8-24f5-4ae5-b0a7-ae5b9802b4a1 · outbound

This paper cites an unresolved cited work.

Tina: Tiny Reasoning Models via LoRA Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-16T11:23:46.373412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ee612c02-d691-44f1-b249-b1eb26906b3f · outbound

This paper cites Process Reinforcement through Implicit Rewards.

Tina: Tiny Reasoning Models via LoRA Process Reinforcement through Implicit Rewards

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T11:23:45.308358Z

Source-reported events for the cited work

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Observation 8df13247-50ae-41a8-b0e4-cff5b629206a · outbound

This paper cites DeepSeek-AI.

Tina: Tiny Reasoning Models via LoRA DeepSeek-AI

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T11:23:45.353089Z

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Observation 0333a5c3-edd7-4876-8a57-d7f74b48414d · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Tina: Tiny Reasoning Models via LoRA DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T11:23:45.358170Z

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Observation 672c5063-0b93-46b8-9135-ef6f5327bf90 · outbound

This paper cites Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey.

Tina: Tiny Reasoning Models via LoRA Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T11:23:45.368112Z

Source-reported events for the cited work

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Observation c5d92ddf-84b4-4c1f-b3a6-4b2eb3652684 · outbound

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

Tina: Tiny Reasoning Models via LoRA LoRA: Low-Rank Adaptation of Large Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T11:23:45.378486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1d64196-4f45-4af1-9615-00bb001e7f69 · outbound

This paper cites O1 Replication Journey -- Part 2: Surpassing O1-preview through Simple Distillation, Big Progress or Bitter Lesson?.

Tina: Tiny Reasoning Models via LoRA O1 Replication Journey -- Part 2: Surpassing O1-preview through Simple Distillation, Big Progress or Bitter Lesson?

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T11:23:45.383186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf495bd9-6d10-4434-a121-7c1523b3eb8e · outbound

This paper cites Tulu 3: Pushing Frontiers in Open Language Model Post-Training.

Tina: Tiny Reasoning Models via LoRA Tulu 3: Pushing Frontiers in Open Language Model Post-Training

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T11:23:45.387459Z

Source-reported events for the cited work

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Observation 2ba93b16-607f-4523-bbb9-445bfa16c279 · outbound

This paper cites ReFT: Reasoning with Reinforced Fine-Tuning.

Tina: Tiny Reasoning Models via LoRA ReFT: Reasoning with Reinforced Fine-Tuning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T11:23:45.393231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3fa8dc7-43d5-4184-8561-086666a81455 · outbound

This paper cites Exploring the Limit of Outcome Reward for Learning Mathematical Reasoning.

Tina: Tiny Reasoning Models via LoRA Exploring the Limit of Outcome Reward for Learning Mathematical Reasoning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T11:23:45.398469Z

Source-reported events for the cited work

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Observation 3b4ef344-0a96-484c-8b2f-82c8d69b565e · outbound

This paper cites Imitate, Explore, and Self-Improve: A Reproduction Report on Slow-thinking Reasoning Systems.

Tina: Tiny Reasoning Models via LoRA Imitate, Explore, and Self-Improve: A Reproduction Report on Slow-thinking Reasoning Systems

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T11:23:45.403389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf225b99-10bf-42f2-ac2f-ec0162c2cc2b · outbound

This paper cites s1: Simple test-time scaling.

Tina: Tiny Reasoning Models via LoRA s1: Simple test-time scaling

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T11:23:45.409312Z

Source-reported events for the cited work

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Observation 1475e24b-a7fb-4bcd-b20d-e46c73213376 · outbound

This paper cites OpenAI o1 System Card.

Tina: Tiny Reasoning Models via LoRA OpenAI o1 System Card

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T11:23:45.471487Z

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Observation ead0f956-3be5-4904-bbca-b5672bb68b71 · outbound

This paper cites Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers.

Tina: Tiny Reasoning Models via LoRA Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T11:23:45.548721Z

Source-reported events for the cited work

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Observation f5c56728-56cd-4861-bd6e-e87a258b960c · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Tina: Tiny Reasoning Models via LoRA DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T11:23:45.584679Z

Source-reported events for the cited work

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Observation 8c500d0c-fc56-4b20-9602-d778023207bf · outbound

This paper cites URL http://dx.doi.org/10.1145/3689031.3696075.

Tina: Tiny Reasoning Models via LoRA URL http://dx.doi.org/10.1145/3689031.3696075

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T11:23:45.590102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29bed85c-3af7-48f9-a4a8-359ddbb6dfa9 · outbound

This paper cites Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models.

Tina: Tiny Reasoning Models via LoRA Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T11:23:45.595331Z

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Observation a66c1970-8e8c-4ff3-95f5-23e5d83bd78b · outbound

This paper cites SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild.

Tina: Tiny Reasoning Models via LoRA SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T11:23:45.600284Z

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Observation 906306fb-3cd2-4f06-bece-673d7a4a8c9f · outbound

This paper cites lighteval vllm $MODEL_ARGS.

Tina: Tiny Reasoning Models via LoRA lighteval vllm $MODEL_ARGS

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:23:46.328979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 976172a2-c570-4479-aff5-4a1ba8979b61 · outbound

This paper cites ZeRO: Memory Optimizations Toward Training Trillion Parameter Models.

Tina: Tiny Reasoning Models via LoRA ZeRO: Memory Optimizations Toward Training Trillion Parameter Models

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-16T11:23:45.579251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5cff9742-1706-4ac7-aea8-1cf28b566d0a · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

Tina: Tiny Reasoning Models via LoRA Measuring Mathematical Problem Solving With the MATH Dataset

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-16T11:23:45.373588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e189e2a0-512a-4af4-9621-e6db0cf5cc4b · outbound

This paper cites an unresolved cited work.

Tina: Tiny Reasoning Models via LoRA Unresolved cited work

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-16T11:23:45.363347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51193c9b-d6ea-45a3-a06b-207ad1df89b9 · outbound

This paper cites Cudo Compute.

Tina: Tiny Reasoning Models via LoRA Cudo Compute

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-16T11:23:45.257899Z

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Observation 047a7e4d-dcb1-4d2d-bd78-32f1e2b4e7b4 · outbound

This paper cites L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning.

Tina: Tiny Reasoning Models via LoRA L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-16T11:23:45.237203Z

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Pith citing papers

Observation 9e7e68fb-7fad-46bd-a097-8001bb4f84c5 · inbound

The Hallucination Tax of Reinforcement Finetuning cites this paper.

The Hallucination Tax of Reinforcement Finetuning Tina: Tiny Reasoning Models via LoRA

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T15:44:35.167445Z

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Observation 26c69b02-4de2-4ea3-a0f2-f3937dc3a5f9 · inbound

Get Experience from Practice: LLM Agents with Record & Replay cites this paper.

Get Experience from Practice: LLM Agents with Record & Replay Tina: Tiny Reasoning Models via LoRA

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-07T14:44:29.928994Z

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Observation 60dacb50-4306-4873-9a21-8dd28b6d64cd · inbound

RECIPE-TKG: From Sparse History to Structured Reasoning for LLM-based Temporal Knowledge Graph Completion cites this paper.

RECIPE-TKG: From Sparse History to Structured Reasoning for LLM-based Temporal Knowledge Graph Completion Tina: Tiny Reasoning Models via LoRA

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T14:46:00.411568Z

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Observation c81686f5-7c51-41d6-8b98-efe0d11c8567 · inbound

Resa: Transparent Reasoning Models via SAEs cites this paper.

Resa: Transparent Reasoning Models via SAEs Tina: Tiny Reasoning Models via LoRA

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T04:45:42.738769Z

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Observation 69f5e61a-5f4d-4ef7-a578-3c7f63f99790 · inbound

Sharp Generalization Bounds for Foundation Models with Asymmetric Randomized Low-Rank Adapters cites this paper.

Sharp Generalization Bounds for Foundation Models with Asymmetric Randomized Low-Rank Adapters Tina: Tiny Reasoning Models via LoRA

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T00:28:43.564233Z

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Observation f803da0e-4eef-40ce-bd83-f7d3c4e7a549 · inbound

Efficient Reasoning on the Edge cites this paper.

Efficient Reasoning on the Edge Tina: Tiny Reasoning Models via LoRA

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-13T23:28:12.790404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa6226c3-a3b8-4163-89af-c413d067b0cf · inbound

ALTO: Adaptive LoRA Tuning and Orchestration for Heterogeneous LoRA Training Workloads cites this paper.

ALTO: Adaptive LoRA Tuning and Orchestration for Heterogeneous LoRA Training Workloads Tina: Tiny Reasoning Models via LoRA

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:00:48.481454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 778680e8-6a2d-4598-a560-5dee44fcee29 · inbound

PubSwap: Public-Data Off-Policy Coordination for Federated RLVR cites this paper.

PubSwap: Public-Data Off-Policy Coordination for Federated RLVR Tina: Tiny Reasoning Models via LoRA

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:21:00.199168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5aa77fee-cc7c-4e87-b549-895aaab2cd76 · inbound

Learning from Less: Measuring the Effectiveness of RLVR in Low Data and Compute Regimes cites this paper.

Learning from Less: Measuring the Effectiveness of RLVR in Low Data and Compute Regimes Tina: Tiny Reasoning Models via LoRA

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:10:09.643586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bca76dd8-d124-488b-86e6-3bdd0ca0e7d0 · inbound

Fine-Tuning Small Reasoning Models for Quantum Field Theory cites this paper.

Fine-Tuning Small Reasoning Models for Quantum Field Theory Tina: Tiny Reasoning Models via LoRA

Reference 217

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:31:05.510711Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation be1cb815-e181-4e9f-a394-4b51bd1878a6 · inbound

Low-Rank Adaptation Redux for Large Models cites this paper.

Low-Rank Adaptation Redux for Large Models Tina: Tiny Reasoning Models via LoRA

Reference 199

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:26:03.892303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2d50b0c6-e537-4a7e-9773-4074901fff47 · inbound

Rethinking RL for LLM Reasoning: It's Sparse Policy Selection, Not Capability Learning cites this paper.

Rethinking RL for LLM Reasoning: It's Sparse Policy Selection, Not Capability Learning Tina: Tiny Reasoning Models via LoRA

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:01:09.753151Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 40df2ba8-c027-4b3b-bd91-bf2d4ff37b25 · inbound

Rethinking RL for LLM Reasoning: It's Sparse Policy Selection, Not Capability Learning cites this paper.

Rethinking RL for LLM Reasoning: It's Sparse Policy Selection, Not Capability Learning Tina: Tiny Reasoning Models via LoRA

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:26:24.155287Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 71d24292-4caf-4320-a2d2-ed5383256db0 · inbound

The Hidden Power of Scaling Factor in LoRA Optimization cites this paper.

The Hidden Power of Scaling Factor in LoRA Optimization Tina: Tiny Reasoning Models via LoRA

Reference 123

Resolution: verified exact; arxiv_id, observed 2026-07-03T14:08:21.922153Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0f0a37e7-5dd7-44d0-9cc5-833ec769b190 · inbound

LoRA Scaffolded Policy Optimization (LSPO): A Sampling-Time Low-Rank Scaffold for Recovering Reinforcement-Learning Gradient on Zero-Reward Cliff Prompts cites this paper.

LoRA Scaffolded Policy Optimization (LSPO): A Sampling-Time Low-Rank Scaffold for Recovering Reinforcement-Learning Gradient on Zero-Reward Cliff Prompts Tina: Tiny Reasoning Models via LoRA

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T01:28:55.596043Z

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