Paper Citation Record · LEDGER

BAR Conjecture: the Feasibility of Inference Budget-Constrained LLM Services with Authenticity and Reasoning

As of 10 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2507.23170.

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

pith.paper-citation-record.v1
2507.23170 v2

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:04:47.246210Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

28 of 28 outbound references displayed

verified exact0
verified fuzzy0
unresolved27
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1b66c952-fc3c-4b18-8ae3-1d5d50e4646b · outbound

This paper cites Towards an AI co-scientist.

BAR Conjecture: the Feasibility of Inference Budget-Constrained LLM Services with Authenticity and Reasoning Towards an AI co-scientist

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T11:04:47.167562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32c64fbd-6714-4625-a5f0-fb410a6bb187 · outbound

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

BAR Conjecture: the Feasibility of Inference Budget-Constrained LLM Services with Authenticity and Reasoning LoRA: Low-Rank Adaptation of Large Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T11:04:47.170707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ff1b3a9-c17c-4e7d-893b-798985b812c3 · outbound

This paper cites Efficient Memory Management for Large Language Model Serving with PagedAttention.

BAR Conjecture: the Feasibility of Inference Budget-Constrained LLM Services with Authenticity and Reasoning Efficient Memory Management for Large Language Model Serving with PagedAttention

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T11:04:47.180028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9af56362-bc4d-44ef-8328-722b371e73a2 · outbound

This paper cites Chain of Thought Empowers Transformers to Solve Inherently Serial Problems.

BAR Conjecture: the Feasibility of Inference Budget-Constrained LLM Services with Authenticity and Reasoning Chain of Thought Empowers Transformers to Solve Inherently Serial Problems

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T11:04:47.182925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a89ef34-cc05-4813-8e29-b9c91dc2d336 · outbound

This paper cites William Merrill, Ashish Sabharwal, and Noah A.

BAR Conjecture: the Feasibility of Inference Budget-Constrained LLM Services with Authenticity and Reasoning William Merrill, Ashish Sabharwal, and Noah A

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T11:04:47.188628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f32f2fb-def0-4023-bfd7-cf6fd8924e2f · outbound

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

BAR Conjecture: the Feasibility of Inference Budget-Constrained LLM Services with Authenticity and Reasoning WebGPT: Browser-assisted question-answering with human feedback

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T11:04:47.194442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74490c47-90ef-481e-87b2-ecae77f8fcb7 · outbound

This paper cites AlphaEvolve: A coding agent for scientific and algorithmic discovery.

BAR Conjecture: the Feasibility of Inference Budget-Constrained LLM Services with Authenticity and Reasoning AlphaEvolve: A coding agent for scientific and algorithmic discovery

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T11:04:47.197109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20883236-95d0-459f-9721-f577d66837f0 · outbound

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

BAR Conjecture: the Feasibility of Inference Budget-Constrained LLM Services with Authenticity and Reasoning Training language models to follow instructions with human feedback

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T11:04:47.200093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 772bb140-c975-474e-aad6-ae0cbcc5fb76 · outbound

This paper cites Rewon Child Pope and Scott Gray.

BAR Conjecture: the Feasibility of Inference Budget-Constrained LLM Services with Authenticity and Reasoning Rewon Child Pope and Scott Gray

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T11:04:47.203037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2df02792-4455-477c-9e32-7cc8770fd046 · outbound

This paper cites Direct Preference Optimization: Your Language Model is Secretly a Reward Model.

BAR Conjecture: the Feasibility of Inference Budget-Constrained LLM Services with Authenticity and Reasoning Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T11:04:47.205691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad9eef2a-6b9b-4d55-b8e9-907e947fa65a · outbound

This paper cites GPQA: A Graduate-Level Google-Proof Q&A Benchmark.

BAR Conjecture: the Feasibility of Inference Budget-Constrained LLM Services with Authenticity and Reasoning GPQA: A Graduate-Level Google-Proof Q&A Benchmark

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T11:04:47.208540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a8320f0-f3eb-4b85-ae25-8c320865a0cf · outbound

This paper cites Towards Understanding Sycophancy in Language Models.

BAR Conjecture: the Feasibility of Inference Budget-Constrained LLM Services with Authenticity and Reasoning Towards Understanding Sycophancy in Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T11:04:47.211412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66f2a7a2-8b7e-44b3-a144-d8d36f377565 · outbound

This paper cites Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism.

BAR Conjecture: the Feasibility of Inference Budget-Constrained LLM Services with Authenticity and Reasoning Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T11:04:47.217354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f125b8d1-327f-4444-a71b-e6f3b46b29a1 · outbound

This paper cites Average-Hard Attention Transformers are Constant-Depth Uniform Threshold Circuits.

BAR Conjecture: the Feasibility of Inference Budget-Constrained LLM Services with Authenticity and Reasoning Average-Hard Attention Transformers are Constant-Depth Uniform Threshold Circuits

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T11:04:47.223422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 936f2e52-7692-491b-9a99-4fbbb9ef1ebe · outbound

This paper cites Hierarchical Reasoning Model.

BAR Conjecture: the Feasibility of Inference Budget-Constrained LLM Services with Authenticity and Reasoning Hierarchical Reasoning Model

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T11:04:47.225944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b4555b9-1f58-4aef-99fa-00a2286b083c · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

BAR Conjecture: the Feasibility of Inference Budget-Constrained LLM Services with Authenticity and Reasoning Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T11:04:47.231963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9dee617-dfc4-42f7-8541-f64159a39746 · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

BAR Conjecture: the Feasibility of Inference Budget-Constrained LLM Services with Authenticity and Reasoning Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T11:04:47.234406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa07a21d-7eb0-4d7e-ba4b-3a9766a99875 · outbound

This paper cites Large Language Models as Analogical Reasoners.

BAR Conjecture: the Feasibility of Inference Budget-Constrained LLM Services with Authenticity and Reasoning Large Language Models as Analogical Reasoners

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T11:04:47.240529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b23ebea-be3e-4d4c-a17f-77db0b109197 · outbound

This paper cites Least-to-Most Prompting Enables Complex Reasoning in Large Language Models.

BAR Conjecture: the Feasibility of Inference Budget-Constrained LLM Services with Authenticity and Reasoning Least-to-Most Prompting Enables Complex Reasoning in Large Language Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T11:04:47.246210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 761e51e9-5093-4b72-8e07-b6339d36bef4 · outbound

This paper cites TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension.

BAR Conjecture: the Feasibility of Inference Budget-Constrained LLM Services with Authenticity and Reasoning TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-06T11:04:47.176983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53813fa4-b8c5-430f-86d1-f321aa31da0f · outbound

This paper cites LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models.

BAR Conjecture: the Feasibility of Inference Budget-Constrained LLM Services with Authenticity and Reasoning LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-06T11:04:47.237610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d92c68b1-6eb0-4ad5-97ac-e268cab42e02 · outbound

This paper cites Towards Understanding Systems Trade-offs in Retrieval-Augmented Generation Model Inference.

BAR Conjecture: the Feasibility of Inference Budget-Constrained LLM Services with Authenticity and Reasoning Towards Understanding Systems Trade-offs in Retrieval-Augmented Generation Model Inference

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-06T11:04:47.214527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fcb93ed2-2b4c-4e65-9a00-ac1ddcb29def · outbound

This paper cites PaLM: Scaling Language Modeling with Pathways.

BAR Conjecture: the Feasibility of Inference Budget-Constrained LLM Services with Authenticity and Reasoning PaLM: Scaling Language Modeling with Pathways

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-06T11:04:47.154381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3001182-f35c-4f0e-b9f6-f98a693ebbbd · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

BAR Conjecture: the Feasibility of Inference Budget-Constrained LLM Services with Authenticity and Reasoning Training Verifiers to Solve Math Word Problems

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-06T11:04:47.157860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d5eb9f8-df43-4981-93af-12c4f6aad751 · outbound

This paper cites TruthfulQA: Measuring How Models Mimic Human Falsehoods.

BAR Conjecture: the Feasibility of Inference Budget-Constrained LLM Services with Authenticity and Reasoning TruthfulQA: Measuring How Models Mimic Human Falsehoods

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-06T11:04:47.185762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation efb6f31f-3f01-4b78-9b4c-7d974bd32fbf · outbound

This paper cites Back to Basics: A Simple Recipe for Improving Out-of-Domain Retrieval in Dense Encoders.

BAR Conjecture: the Feasibility of Inference Budget-Constrained LLM Services with Authenticity and Reasoning Back to Basics: A Simple Recipe for Improving Out-of-Domain Retrieval in Dense Encoders

Reference 2023

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T11:04:47.589792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 792e17eb-f0cc-4ee3-b883-4b592fa580b1 · outbound

This paper cites KTO: Model Alignment as Prospect Theoretic Optimization.

BAR Conjecture: the Feasibility of Inference Budget-Constrained LLM Services with Authenticity and Reasoning KTO: Model Alignment as Prospect Theoretic Optimization

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T11:04:47.163937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1f68ccc-56c0-4974-8a44-17321f381b7b · outbound

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

BAR Conjecture: the Feasibility of Inference Budget-Constrained LLM Services with Authenticity and Reasoning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-06T11:04:47.160657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.