Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-18T13:47:15.959308Z
Paper Citation Record · LEDGER
BoHA: Blockwise Hadamard Product Adaptation for Parameter-Efficient Fine-Tuning
As of 4 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 1 inbound Pith citation observation for arXiv:2509.21637.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-11T08:38:02.220727Z
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
23 of 23 outbound references displayed
- verified exact18
- verified fuzzy3
- unresolved1
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation e543b2c5-3668-466e-a52c-a84de006cb58 · outbound
This paper cites Large language models in medicine.Nature medicine, 29(8):1930–1940.
BoHA: Blockwise Hadamard Product Adaptation for Parameter-Efficient Fine-Tuning Large language models in medicine.Nature medicine, 29(8):1930–1940
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-18T13:51:26.961872Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 85c8e2b0-963f-4e6b-9a7c-45f3edb98beb · outbound
This paper cites BloombergGPT: A Large Language Model for Finance.
BoHA: Blockwise Hadamard Product Adaptation for Parameter-Efficient Fine-Tuning BloombergGPT: A Large Language Model for Finance
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T13:51:26.090355Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c559c1b9-11ba-4567-97e2-ce7d734968c5 · outbound
This paper cites RandLoRA: Full-rank parameter-efficient fine-tuning of large models.
BoHA: Blockwise Hadamard Product Adaptation for Parameter-Efficient Fine-Tuning RandLoRA: Full-rank parameter-efficient fine-tuning of large models
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T13:51:26.040161Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 959f629e-873f-4523-bb50-5ddacb8dda0d · outbound
This paper cites Raghav Singhal, Kaustubh Ponkshe, Rohit Vartak, and Praneeth Vepakomma.
BoHA: Blockwise Hadamard Product Adaptation for Parameter-Efficient Fine-Tuning Raghav Singhal, Kaustubh Ponkshe, Rohit Vartak, and Praneeth Vepakomma
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T13:51:26.080847Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 349eea8e-2a4e-40d0-bb1a-bdea4e25bded · outbound
This paper cites Yeonjoon Jung, Daehyun Ahn, Hyungjun Kim, Taesu Kim, and Eunhyeok Park.
BoHA: Blockwise Hadamard Product Adaptation for Parameter-Efficient Fine-Tuning Yeonjoon Jung, Daehyun Ahn, Hyungjun Kim, Taesu Kim, and Eunhyeok Park
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T13:51:26.059682Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 47c9426f-d216-4d63-892c-55fa3851739d · outbound
This paper cites The Power of Scale for Parameter-Efficient Prompt Tuning.
BoHA: Blockwise Hadamard Product Adaptation for Parameter-Efficient Fine-Tuning The Power of Scale for Parameter-Efficient Prompt Tuning
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T13:51:26.075618Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4d84d8b5-c7b0-46cf-bb3d-5a0295ed85e1 · outbound
This paper cites Prefix-Tuning: Optimizing Continuous Prompts for Generation.
BoHA: Blockwise Hadamard Product Adaptation for Parameter-Efficient Fine-Tuning Prefix-Tuning: Optimizing Continuous Prompts for Generation
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T13:51:26.030431Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a19b1015-5c01-46e7-93e7-f7001f4ac273 · outbound
This paper cites LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models.
BoHA: Blockwise Hadamard Product Adaptation for Parameter-Efficient Fine-Tuning LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T13:51:26.070476Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6a176994-9df3-4209-96a3-8344096b73db · outbound
This paper cites BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions.
BoHA: Blockwise Hadamard Product Adaptation for Parameter-Efficient Fine-Tuning BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T13:51:26.054114Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 84f03d0c-6d27-415e-af63-a7f6796364e5 · outbound
This paper cites SocialIQA: Commonsense Reasoning about Social Interactions.
BoHA: Blockwise Hadamard Product Adaptation for Parameter-Efficient Fine-Tuning SocialIQA: Commonsense Reasoning about Social Interactions
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T13:51:26.049684Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0430ff0d-7864-45d1-a0b8-86b2bf17bd0d · outbound
This paper cites HellaSwag: Can a Machine Really Finish Your Sentence?.
BoHA: Blockwise Hadamard Product Adaptation for Parameter-Efficient Fine-Tuning HellaSwag: Can a Machine Really Finish Your Sentence?
Reference 11
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T13:51:26.044835Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4ae6e933-f38d-48df-9b46-ce08dd7afef5 · outbound
This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.
BoHA: Blockwise Hadamard Product Adaptation for Parameter-Efficient Fine-Tuning Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T13:51:26.064637Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f2b490d8-e349-419c-9ab9-62f396cea006 · outbound
This paper cites Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering.
BoHA: Blockwise Hadamard Product Adaptation for Parameter-Efficient Fine-Tuning Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering
Reference 13
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T13:51:26.085484Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d4d7364c-7b63-4c80-a080-7fd7c4d6df7d · outbound
This paper cites Mistral 7B.
BoHA: Blockwise Hadamard Product Adaptation for Parameter-Efficient Fine-Tuning Mistral 7B
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T13:51:26.034795Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 79fa7c5a-9ce2-4ed4-b98a-75e9bbbb417b · outbound
This paper cites Gemma 2: Improving Open Language Models at a Practical Size.
BoHA: Blockwise Hadamard Product Adaptation for Parameter-Efficient Fine-Tuning Gemma 2: Improving Open Language Models at a Practical Size
Reference 15
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-18T13:51:26.021245Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 95449c0e-42c4-4fa4-88cb-cd9e41843a3c · outbound
This paper cites MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models.
BoHA: Blockwise Hadamard Product Adaptation for Parameter-Efficient Fine-Tuning MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models
Reference 16
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T13:51:26.005222Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1d3dbc9e-4c1e-4f51-9c4c-35991604ff04 · outbound
This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.
BoHA: Blockwise Hadamard Product Adaptation for Parameter-Efficient Fine-Tuning Measuring Mathematical Problem Solving With the MATH Dataset
Reference 17
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T13:51:26.025956Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8e5469d1-db8e-44df-ae3a-15cd74628a83 · outbound
This paper cites Training Verifiers to Solve Math Word Problems.
BoHA: Blockwise Hadamard Product Adaptation for Parameter-Efficient Fine-Tuning Training Verifiers to Solve Math Word Problems
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T13:51:26.010676Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 987e7307-c690-43e1-9a8c-536a78aa9181 · outbound
This paper cites The Llama 3 Herd of Models.
BoHA: Blockwise Hadamard Product Adaptation for Parameter-Efficient Fine-Tuning The Llama 3 Herd of Models
Reference 19
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T13:51:26.016042Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6cee71a2-c17a-4e6a-bbce-7d1d3a0a85cc · outbound
This paper cites Transformers: State-of-the-art natural language processing.
BoHA: Blockwise Hadamard Product Adaptation for Parameter-Efficient Fine-Tuning Transformers: State-of-the-art natural language processing
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-18T13:51:26.953911Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 06f3eadf-7b3c-4fab-8200-a288d9a79938 · outbound
This paper cites Decoupled Weight Decay Regularization.
BoHA: Blockwise Hadamard Product Adaptation for Parameter-Efficient Fine-Tuning Decoupled Weight Decay Regularization
Reference 21
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T13:51:26.000397Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation df82e6db-4143-49e4-ba89-3e1463dde61f · outbound
This paper cites an unresolved cited work.
BoHA: Blockwise Hadamard Product Adaptation for Parameter-Efficient Fine-Tuning Unresolved cited work
Reference 22
- Resolution
- unresolved
- raw_fallback, observed 2026-05-18T13:51:26.958727Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 90726f96-7223-4d2b-a058-dbc96aaee995 · outbound
This paper cites While we adopt most settings from prior work [Hu et al., 2023], we run targeted learning-rate sweeps to tune performance.
BoHA: Blockwise Hadamard Product Adaptation for Parameter-Efficient Fine-Tuning While we adopt most settings from prior work [Hu et al., 2023], we run targeted learning-rate sweeps to tune performance
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-18T13:51:26.956463Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Pith citing papers
Observation d8c86806-ee67-45eb-8bcf-1bf556147772 · inbound
Localized LoRA-MoE: Block-wise Low-Rank Experts With Adaptive Routing cites this paper.
Localized LoRA-MoE: Block-wise Low-Rank Experts With Adaptive Routing BoHA: Blockwise Hadamard Product Adaptation for Parameter-Efficient Fine-Tuning
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-07-11T08:38:02.220727Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.