Paper Citation Record · LEDGER

Platypus: Quick, Cheap, and Powerful Refinement of LLMs

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2308.07317.

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

pith.paper-citation-record.v1
2308.07317 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:05:46.951275Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T21:16:14.404874Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 50c5896c-0f01-4df9-97f8-8117fef086fe · inbound

Detecting Language Model Attacks with Perplexity cites this paper.

Detecting Language Model Attacks with Perplexity Platypus: Quick, Cheap, and Powerful Refinement of LLMs

Reference 67

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T14:02:26.825970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 540d2ff5-4e2f-48d6-b1aa-e35ddf968c97 · inbound

Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models cites this paper.

Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models Platypus: Quick, Cheap, and Powerful Refinement of LLMs

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T14:21:16.505976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f3e8b611-d7d4-4772-a0c1-79da7e43b385 · inbound

MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning cites this paper.

MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning Platypus: Quick, Cheap, and Powerful Refinement of LLMs

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-17T23:46:39.614063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 231fe091-56a2-479f-b37c-d36b1e884f90 · inbound

MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models cites this paper.

MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models Platypus: Quick, Cheap, and Powerful Refinement of LLMs

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-13T10:07:53.881022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cd8f69c5-0242-425e-989d-77b642fe027f · inbound

ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving cites this paper.

ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving Platypus: Quick, Cheap, and Powerful Refinement of LLMs

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-19T09:19:36.084440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2e1996dd-10d1-409e-9b61-3b3b7da8a036 · inbound

Improving Mathematical Reasoning Capabilities of Small Language Models via Feedback-Driven Distillation cites this paper.

Improving Mathematical Reasoning Capabilities of Small Language Models via Feedback-Driven Distillation Platypus: Quick, Cheap, and Powerful Refinement of LLMs

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T15:05:46.951275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3892b2f-357e-4b56-8f60-8a2589dfd896 · inbound

Understanding Hidden Computations in Chain-of-Thought Reasoning cites this paper.

Understanding Hidden Computations in Chain-of-Thought Reasoning Platypus: Quick, Cheap, and Powerful Refinement of LLMs

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T21:28:51.392722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 154d551d-4e0c-423d-980b-91729325c64a · inbound

Parameter Efficient Fine-Tuning for Deep Learning-Based Full-Waveform Inversion cites this paper.

Parameter Efficient Fine-Tuning for Deep Learning-Based Full-Waveform Inversion Platypus: Quick, Cheap, and Powerful Refinement of LLMs

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T00:20:11.128946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1e6da69-936a-42a3-97f3-7a6b64835ba9 · inbound

MISCON: A Mission-Driven Conversational Consultant for Pre-Venture Entrepreneurs in Food Deserts cites this paper.

MISCON: A Mission-Driven Conversational Consultant for Pre-Venture Entrepreneurs in Food Deserts Platypus: Quick, Cheap, and Powerful Refinement of LLMs

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T14:48:08.892324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c6ebb75-38ad-4455-a111-a52dd93d0cbc · inbound

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model cites this paper.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model Platypus: Quick, Cheap, and Powerful Refinement of LLMs

Reference 147

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:02:23.665451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1c47ac1a-3d19-4119-9c0b-48578003e32f · inbound

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report cites this paper.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Platypus: Quick, Cheap, and Powerful Refinement of LLMs

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T05:57:29.316420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f62232e8-a291-4047-a733-49d2b47865fb · inbound

Sensitivity-LoRA: Low-Load Sensitivity-Based Fine-Tuning for Large Language Models cites this paper.

Sensitivity-LoRA: Low-Load Sensitivity-Based Fine-Tuning for Large Language Models Platypus: Quick, Cheap, and Powerful Refinement of LLMs

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-04T19:43:36.842939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91d877c2-d706-4788-9dcf-4d42d5b19472 · inbound

SoK: Systematizing LLM Prompt Security: Taxonomies, Datasets, and Unified Evaluation of Attacks and Defenses cites this paper.

SoK: Systematizing LLM Prompt Security: Taxonomies, Datasets, and Unified Evaluation of Attacks and Defenses Platypus: Quick, Cheap, and Powerful Refinement of LLMs

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-04T09:25:45.762344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0998e813-b180-452f-9ff4-b80360b10e79 · inbound

MatryoshkaLoRA: Learning Accurate Hierarchical Low-Rank Representations for LLM Fine-Tuning cites this paper.

MatryoshkaLoRA: Learning Accurate Hierarchical Low-Rank Representations for LLM Fine-Tuning Platypus: Quick, Cheap, and Powerful Refinement of LLMs

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:10:53.349999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 95a35bf2-cba0-473e-b664-260dc291e23e · inbound

Understanding and Improving Noisy Embedding Techniques in Instruction Finetuning cites this paper.

Understanding and Improving Noisy Embedding Techniques in Instruction Finetuning Platypus: Quick, Cheap, and Powerful Refinement of LLMs

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-25T04:55:24.059174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 98b16d9f-7d0d-4274-b533-31807c6c5085 · inbound

TRACER: A Semantic-Aware Framework for Fine-Grained Contamination Detection in Code LLMs cites this paper.

TRACER: A Semantic-Aware Framework for Fine-Grained Contamination Detection in Code LLMs Platypus: Quick, Cheap, and Powerful Refinement of LLMs

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-06-30T15:34:47.900232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ecccfd3e-09e8-4838-b8a4-1d2cb0ad4c65 · inbound

DAG-MoE: From Simple Mixture to Structural Aggregation in Mixture-of-Experts cites this paper.

DAG-MoE: From Simple Mixture to Structural Aggregation in Mixture-of-Experts Platypus: Quick, Cheap, and Powerful Refinement of LLMs

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-07-01T21:16:14.406417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4cd32dfc-8479-4c38-9374-5f0b00890fbf · inbound

ReLoRA: Knowledge-Reusing Adaptation for Fast Rollout of Evolving LLM Services cites this paper.

ReLoRA: Knowledge-Reusing Adaptation for Fast Rollout of Evolving LLM Services Platypus: Quick, Cheap, and Powerful Refinement of LLMs

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-06-30T15:44:48.852541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.