Paper Citation Record · LEDGER

ChipAlign: Instruction Alignment in Large Language Models for Chip Design via Geodesic Interpolation

As of 18 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 2 inbound Pith citation observations for arXiv:2412.19819.

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

pith.paper-citation-record.v1
2412.19819 v2

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:25:11.205191Z

measured 34 of 34 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:31:23.486344Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T00:31:01.045059Z

Reference resolution

32 of 32 outbound references displayed

verified exact0
verified fuzzy9
unresolved23
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0a2a0fd4-3950-4b6a-81c3-3f5100bdb000 · outbound

This paper cites GPT-4 Technical Report.

ChipAlign: Instruction Alignment in Large Language Models for Chip Design via Geodesic Interpolation GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T15:25:10.976379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9abc312d-5c1d-4069-a06d-792f4a5622cf · outbound

This paper cites Information geometry and manifolds of neural networks.

ChipAlign: Instruction Alignment in Large Language Models for Chip Design via Geodesic Interpolation Information geometry and manifolds of neural networks

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:25:12.154270Z

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 50522ba2-9b8e-4b2f-b42e-7a7463f8990b · outbound

This paper cites Information geometry of boltzmann machines.

ChipAlign: Instruction Alignment in Large Language Models for Chip Design via Geodesic Interpolation Information geometry of boltzmann machines

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:25:12.132093Z

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 4e306068-be07-43f8-bf20-63f07dacad41 · outbound

This paper cites The claude 3 model family: Opus, sonnet, haiku.

ChipAlign: Instruction Alignment in Large Language Models for Chip Design via Geodesic Interpolation The claude 3 model family: Opus, sonnet, haiku

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T15:25:11.002147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55e4f139-a207-4d81-a86a-dc92e6ef1374 · outbound

This paper cites Chatlaw: A Multi-Agent Legal Assistant based on a Role-Aligned Mixture-of-Experts Architecture.

ChipAlign: Instruction Alignment in Large Language Models for Chip Design via Geodesic Interpolation Chatlaw: A Multi-Agent Legal Assistant based on a Role-Aligned Mixture-of-Experts Architecture

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T15:25:11.009517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40ccd21a-15f7-416a-a43f-ac3b038c014e · outbound

This paper cites DELLA-Merging: Reducing Interference in Model Merging through Magnitude-Based Sampling.

ChipAlign: Instruction Alignment in Large Language Models for Chip Design via Geodesic Interpolation DELLA-Merging: Reducing Interference in Model Merging through Magnitude-Based Sampling

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T15:25:11.016116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8909a967-efb2-4504-a40f-28bcc70c8c3d · outbound

This paper cites SteerLM: Attribute Conditioned SFT as an (User-Steerable) Alternative to RLHF.

ChipAlign: Instruction Alignment in Large Language Models for Chip Design via Geodesic Interpolation SteerLM: Attribute Conditioned SFT as an (User-Steerable) Alternative to RLHF

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T15:25:11.024505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11bfcc3f-4093-4c59-922f-f5398b7db78b · outbound

This paper cites The Llama 3 Herd of Models.

ChipAlign: Instruction Alignment in Large Language Models for Chip Design via Geodesic Interpolation The Llama 3 Herd of Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T15:25:11.033926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af11beec-4641-4430-8246-d58df601d8e7 · outbound

This paper cites A Closer Look at the Limitations of Instruction Tuning.

ChipAlign: Instruction Alignment in Large Language Models for Chip Design via Geodesic Interpolation A Closer Look at the Limitations of Instruction Tuning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T15:25:11.044370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bdf81ac4-03dd-499e-ad23-e6e4e1aeba57 · outbound

This paper cites Editing Models with Task Arithmetic.

ChipAlign: Instruction Alignment in Large Language Models for Chip Design via Geodesic Interpolation Editing Models with Task Arithmetic

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T15:25:11.052116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a51d6399-3f13-4bb5-9f90-e21b0b273b5b · outbound

This paper cites Openassistant conversations-democratizing large language model alignment.

ChipAlign: Instruction Alignment in Large Language Models for Chip Design via Geodesic Interpolation Openassistant conversations-democratizing large language model alignment

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:25:12.095383Z

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 188abd3b-5d0f-4102-af59-ff87317b11b1 · outbound

This paper cites Baichuan-omni technical report.

ChipAlign: Instruction Alignment in Large Language Models for Chip Design via Geodesic Interpolation Baichuan-omni technical report

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T15:25:11.066662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 807b467b-2356-40f9-b633-028c68e7c8dc · outbound

This paper cites Rouge: A package for automatic evaluation of summaries.

ChipAlign: Instruction Alignment in Large Language Models for Chip Design via Geodesic Interpolation Rouge: A package for automatic evaluation of summaries

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T15:25:11.073176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34b0e947-1c03-494f-84a2-15495c6af29d · outbound

This paper cites ChipNeMo: Domain-Adapted LLMs for Chip Design.

ChipAlign: Instruction Alignment in Large Language Models for Chip Design via Geodesic Interpolation ChipNeMo: Domain-Adapted LLMs for Chip Design

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T15:25:11.078920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 033cbef5-6ca1-4048-a7ac-a9419a51df93 · outbound

This paper cites Bleu: a method for automatic evaluation of machine translation.

ChipAlign: Instruction Alignment in Large Language Models for Chip Design via Geodesic Interpolation Bleu: a method for automatic evaluation of machine translation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T15:25:11.085061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80e00d9b-4f60-42e6-8f98-c68664313709 · outbound

This paper cites Customized Retrieval Augmented Generation and Benchmarking for EDA Tool Documentation QA.

ChipAlign: Instruction Alignment in Large Language Models for Chip Design via Geodesic Interpolation Customized Retrieval Augmented Generation and Benchmarking for EDA Tool Documentation QA

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T15:25:11.093649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f9fa8a4-c8ee-4bb4-aa6d-c7efc187cff2 · outbound

This paper cites Openroad-assistant: An open-source large language model for physical design tasks.

ChipAlign: Instruction Alignment in Large Language Models for Chip Design via Geodesic Interpolation Openroad-assistant: An open-source large language model for physical design tasks

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:25:12.043381Z

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 c9d734f1-88f6-4fa0-a314-e621fc9d7efd · outbound

This paper cites Animating rotation with quaternion curves.

ChipAlign: Instruction Alignment in Large Language Models for Chip Design via Geodesic Interpolation Animating rotation with quaternion curves

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:25:12.024183Z

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 91f1dbd2-d5b5-41b3-9b68-8d160ba52459 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

ChipAlign: Instruction Alignment in Large Language Models for Chip Design via Geodesic Interpolation Gemini: A Family of Highly Capable Multimodal Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T15:25:11.115236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69dd56fc-8b53-4f38-b6fe-4cdd901501ba · outbound

This paper cites Chatclimate: Grounding con- versational ai in climate science.

ChipAlign: Instruction Alignment in Large Language Models for Chip Design via Geodesic Interpolation Chatclimate: Grounding con- versational ai in climate science

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:25:12.004007Z

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 c5a13035-9e6d-435d-9c7f-88e2b543fec7 · outbound

This paper cites Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time.

ChipAlign: Instruction Alignment in Large Language Models for Chip Design via Geodesic Interpolation Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:25:11.982155Z

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 9da65d1c-945a-4175-a587-2db1a3f8f35c · outbound

This paper cites Pmc-llama: toward building open-source language models for medicine.

ChipAlign: Instruction Alignment in Large Language Models for Chip Design via Geodesic Interpolation Pmc-llama: toward building open-source language models for medicine

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T15:25:11.135374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fb923aa-33ef-4b2c-bff7-63ae7a7622ba · outbound

This paper cites Chateda: A large language model powered autonomous agent for eda.

ChipAlign: Instruction Alignment in Large Language Models for Chip Design via Geodesic Interpolation Chateda: A large language model powered autonomous agent for eda

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:25:11.950829Z

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 25491cf1-171a-48a8-9fe8-17464608d3f5 · outbound

This paper cites BloombergGPT: A Large Language Model for Finance.

ChipAlign: Instruction Alignment in Large Language Models for Chip Design via Geodesic Interpolation BloombergGPT: A Large Language Model for Finance

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T15:25:11.150496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b864e78-08e8-48a1-93ac-fe76c208efd4 · outbound

This paper cites C-Pack: Packed Resources For General Chinese Embeddings.

ChipAlign: Instruction Alignment in Large Language Models for Chip Design via Geodesic Interpolation C-Pack: Packed Resources For General Chinese Embeddings

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T15:25:11.157220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f155f4f2-7aaf-42d9-99c6-e6c29d4f6d7d · outbound

This paper cites Ties-merging: Resolving interference when merging models.

ChipAlign: Instruction Alignment in Large Language Models for Chip Design via Geodesic Interpolation Ties-merging: Resolving interference when merging models

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:25:11.931576Z

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 e9b1a593-4284-40b5-a264-67073845f1d4 · outbound

This paper cites Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities.

ChipAlign: Instruction Alignment in Large Language Models for Chip Design via Geodesic Interpolation Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T15:25:11.172774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c467fa8b-c9ba-4681-911f-4738f5e40cb4 · outbound

This paper cites Language models are super mario: Absorbing abilities from homologous models as a free lunch.

ChipAlign: Instruction Alignment in Large Language Models for Chip Design via Geodesic Interpolation Language models are super mario: Absorbing abilities from homologous models as a free lunch

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T15:25:11.179393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e80d033d-17e7-48b4-8b9b-33c7ae839fe6 · outbound

This paper cites RAFT: Adapting Language Model to Domain Specific RAG.

ChipAlign: Instruction Alignment in Large Language Models for Chip Design via Geodesic Interpolation RAFT: Adapting Language Model to Domain Specific RAG

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T15:25:11.185998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68d6bd32-1a93-4111-96e0-93567468bf16 · outbound

This paper cites A Survey of Large Language Models.

ChipAlign: Instruction Alignment in Large Language Models for Chip Design via Geodesic Interpolation A Survey of Large Language Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T15:25:11.193366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60bc0460-54e5-4a2c-9433-fd12e7793f24 · outbound

This paper cites Towards a Unified Multi-Dimensional Evaluator for Text Generation.

ChipAlign: Instruction Alignment in Large Language Models for Chip Design via Geodesic Interpolation Towards a Unified Multi-Dimensional Evaluator for Text Generation

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-11T15:25:11.199586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 358f4911-db72-4693-8933-52fbb530fbbf · outbound

This paper cites Instruction-Following Evaluation for Large Language Models.

ChipAlign: Instruction Alignment in Large Language Models for Chip Design via Geodesic Interpolation Instruction-Following Evaluation for Large Language Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-11T15:25:11.205191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation ae5b6679-2895-49fa-a5d4-4ac82aff1747 · inbound

Customizing a Large Language Model for VHDL Design of High-Performance Microprocessors cites this paper.

Customizing a Large Language Model for VHDL Design of High-Performance Microprocessors ChipAlign: Instruction Alignment in Large Language Models for Chip Design via Geodesic Interpolation

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T21:31:23.486344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07f317d7-91f4-4f6c-a8d0-7476bbe860d0 · inbound

Spec2RTL-Agent: Automated Hardware Code Generation from Complex Specifications Using LLM Agent Systems cites this paper.

Spec2RTL-Agent: Automated Hardware Code Generation from Complex Specifications Using LLM Agent Systems ChipAlign: Instruction Alignment in Large Language Models for Chip Design via Geodesic Interpolation

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-07T00:31:01.052482Z

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.