Paper Citation Record · LEDGER

HEFT: A Coarse-to-Fine Hierarchy for Enhancing the Efficiency and Accuracy of Language Model Reasoning

As of 19 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2509.09801.

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

pith.paper-citation-record.v1
2509.09801 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:08:03.861801Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

12 of 12 outbound references displayed

verified exact1
verified fuzzy1
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5d1cfd7a-2959-4073-8741-374e868f0bdd · outbound

This paper cites LoRA+: Efficient Low Rank Adaptation of Large Models.

HEFT: A Coarse-to-Fine Hierarchy for Enhancing the Efficiency and Accuracy of Language Model Reasoning LoRA+: Efficient Low Rank Adaptation of Large Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T16:08:03.818196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3ff27e2-116f-44fe-898a-065f857118ce · outbound

This paper cites Pablo Muñoz, Tanya Roosta, and Ali Jannesari.

HEFT: A Coarse-to-Fine Hierarchy for Enhancing the Efficiency and Accuracy of Language Model Reasoning Pablo Muñoz, Tanya Roosta, and Ali Jannesari

Reference 10

Resolution: verified exact; raw_fallback, observed 2026-08-15T16:08:04.007363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 64f9c9d1-248d-4419-94d4-fde45637a0ee · outbound

This paper cites Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models.

HEFT: A Coarse-to-Fine Hierarchy for Enhancing the Efficiency and Accuracy of Language Model Reasoning Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T16:08:03.839706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2cf9a40-1cef-4219-ac74-383e8810426f · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

HEFT: A Coarse-to-Fine Hierarchy for Enhancing the Efficiency and Accuracy of Language Model Reasoning LLaMA: Open and Efficient Foundation Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T16:08:03.844805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df502786-ca87-4ef8-b97a-9d3e09a6f2d8 · outbound

This paper cites ReFT: Representation Finetuning for Language Models.

HEFT: A Coarse-to-Fine Hierarchy for Enhancing the Efficiency and Accuracy of Language Model Reasoning ReFT: Representation Finetuning for Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T16:08:03.854234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7c7d173-b43e-4d7d-ad9e-eec550a6f387 · outbound

This paper cites Compositional Subspace Representation Fine-tuning for Adaptive Large Language Models.

HEFT: A Coarse-to-Fine Hierarchy for Enhancing the Efficiency and Accuracy of Language Model Reasoning Compositional Subspace Representation Fine-tuning for Adaptive Large Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T16:08:03.858023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b290c9d0-c6a5-41e2-8718-d7a347c83d95 · outbound

This paper cites C U D A _ V I S I B L E _ D E V I C E S.

HEFT: A Coarse-to-Fine Hierarchy for Enhancing the Efficiency and Accuracy of Language Model Reasoning C U D A _ V I S I B L E _ D E V I C E S

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:08:04.144817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 480d8c7e-13e6-4ade-8d04-6cc95b5edd98 · outbound

This paper cites BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions.

HEFT: A Coarse-to-Fine Hierarchy for Enhancing the Efficiency and Accuracy of Language Model Reasoning BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-15T16:08:03.814461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ebc677c-7139-4118-84b4-7d418ceaa7e5 · outbound

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

HEFT: A Coarse-to-Fine Hierarchy for Enhancing the Efficiency and Accuracy of Language Model Reasoning LoRA: Low-Rank Adaptation of Large Language Models

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-15T16:08:03.827009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fcc63aac-9ab2-4e61-bdae-410fd198145a · outbound

This paper cites LoRA vs full fine- tuning: An illusion of equivalence.ArXiv, abs/2410.21228,.

HEFT: A Coarse-to-Fine Hierarchy for Enhancing the Efficiency and Accuracy of Language Model Reasoning LoRA vs full fine- tuning: An illusion of equivalence.ArXiv, abs/2410.21228,

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-15T16:08:03.830867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59cea111-5546-40b4-a35f-5cbabfd2f647 · outbound

This paper cites The Falcon Series of Open Language Models.

HEFT: A Coarse-to-Fine Hierarchy for Enhancing the Efficiency and Accuracy of Language Model Reasoning The Falcon Series of Open Language Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-15T16:08:03.800611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a839275f-376c-40e5-a186-0079d6a5cdea · outbound

This paper cites Does Combining Parameter-efficient Modules Improve Few-shot Transfer Accuracy?.

HEFT: A Coarse-to-Fine Hierarchy for Enhancing the Efficiency and Accuracy of Language Model Reasoning Does Combining Parameter-efficient Modules Improve Few-shot Transfer Accuracy?

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-15T16:08:03.805210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.